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IFeelBloated/Loss.py

Created March 31, 2022 14:50
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1200-layer GAN 128x128
Raw
Loss.py
import torch
import torch.nn as nn
def ZeroCenteredGradientPenalty(Samples, Critics):
Gradient, = torch.autograd.grad(outputs=Critics.sum(), inputs=Samples, create_graph=True, only_inputs=True)
return 0.5 * Gradient.square().sum([1,2,3]).mean()
def RelativisticLoss(PositiveCritics, NegativeCritics):
return nn.functional.binary_cross_entropy_with_logits(PositiveCritics - NegativeCritics, torch.ones_like(PositiveCritics))
Raw
Network.py
import math
import torch
import torch.nn as nn
CompressionFactor = 1
SiLUGain = math.sqrt(2)
def MSRInitializer(Layer, ActivationGain=1, SpatialScaleFactor=1):
if SpatialScaleFactor == 1:
FanIn = Layer.weight.data.size(1) * Layer.weight.data[0][0].numel()
Layer.weight.data.normal_(0, ActivationGain / math.sqrt(FanIn))
else:
SubpixelKernel = torch.empty(Layer.weight.shape[0] // (SpatialScaleFactor * SpatialScaleFactor), *Layer.weight.shape[1:])
FanIn = SubpixelKernel.size(1) * SubpixelKernel[0][0].numel()
SubpixelKernel.normal_(0, ActivationGain / math.sqrt(FanIn))
SubpixelKernel = nn.functional.interpolate(SubpixelKernel, scale_factor=SpatialScaleFactor, mode='bilinear', align_corners=False)
SubpixelKernel = nn.functional.pixel_unshuffle(SubpixelKernel.transpose(0, 1), SpatialScaleFactor)
Layer.weight.data.copy_(SubpixelKernel.transpose(0, 1))
if Layer.bias is not None:
Layer.bias.data.zero_()
return Layer
class BiasedActivation(nn.Module):
def __init__(self, InputUnits, ConvolutionalLayer=True):
super(BiasedActivation, self).__init__()
self.Bias = nn.Parameter(torch.empty(InputUnits))
self.Bias.data.zero_()
self.ConvolutionalLayer = ConvolutionalLayer
def forward(self, x):
y = x + self.Bias.view(1, -1, 1, 1) if self.ConvolutionalLayer else x + self.Bias.view(1, -1)
return nn.functional.silu(y)
class GeneratorBlock(nn.Module):
def __init__(self, InputChannels, ReceptiveField=3):
super(GeneratorBlock, self).__init__()
CompressedChannels = InputChannels // CompressionFactor
self.LinearLayer1 = MSRInitializer(nn.Conv2d(InputChannels, CompressedChannels, kernel_size=ReceptiveField, stride=1, padding=(ReceptiveField - 1) // 2, bias=False), ActivationGain=SiLUGain)
self.LinearLayer2 = MSRInitializer(nn.Conv2d(CompressedChannels, InputChannels, kernel_size=ReceptiveField, stride=1, padding=(ReceptiveField - 1) // 2, bias=False), ActivationGain=0)
self.NonLinearity1 = BiasedActivation(CompressedChannels)
self.NonLinearity2 = BiasedActivation(InputChannels)
def forward(self, x, ActivationMaps):
y = self.LinearLayer1(ActivationMaps)
y = self.NonLinearity1(y)
y = self.LinearLayer2(y)
y = x + y
return y, self.NonLinearity2(y)
class DiscriminatorBlock(nn.Module):
def __init__(self, InputChannels, ReceptiveField=3):
super(DiscriminatorBlock, self).__init__()
CompressedChannels = InputChannels // CompressionFactor
self.LinearLayer1 = MSRInitializer(nn.Conv2d(InputChannels, CompressedChannels, kernel_size=ReceptiveField, stride=1, padding=(ReceptiveField - 1) // 2, bias=False), ActivationGain=SiLUGain)
self.LinearLayer2 = MSRInitializer(nn.Conv2d(CompressedChannels, InputChannels, kernel_size=ReceptiveField, stride=1, padding=(ReceptiveField - 1) // 2, bias=False), ActivationGain=0)
self.NonLinearity1 = BiasedActivation(InputChannels)
self.NonLinearity2 = BiasedActivation(CompressedChannels)
def forward(self, x):
y = self.LinearLayer1(self.NonLinearity1(x))
y = self.LinearLayer2(self.NonLinearity2(y))
return x + y
class GeneratorUpsampleBlock(nn.Module):
def __init__(self, InputChannels, OutputChannels, ReceptiveField=3):
super(GeneratorUpsampleBlock, self).__init__()
CompressedChannels = InputChannels // CompressionFactor
self.LinearLayer1 = MSRInitializer(nn.Conv2d(InputChannels, CompressedChannels * 4, kernel_size=ReceptiveField, stride=1, padding=(ReceptiveField - 1) // 2, bias=False), ActivationGain=SiLUGain, SpatialScaleFactor=2)
self.LinearLayer2 = MSRInitializer(nn.Conv2d(CompressedChannels, OutputChannels, kernel_size=ReceptiveField, stride=1, padding=(ReceptiveField - 1) // 2, bias=False), ActivationGain=0)
self.NonLinearity1 = BiasedActivation(CompressedChannels)
self.NonLinearity2 = BiasedActivation(OutputChannels)
if InputChannels != OutputChannels:
self.ShortcutLayer = MSRInitializer(nn.Conv2d(InputChannels, OutputChannels, kernel_size=1, stride=1, padding=0, bias=False))
def forward(self, x, ActivationMaps):
if hasattr(self, 'ShortcutLayer'):
x = self.ShortcutLayer(x)
y = self.LinearLayer1(ActivationMaps)
y = self.NonLinearity1(nn.functional.pixel_shuffle(y, 2))
y = self.LinearLayer2(y)
y = nn.functional.interpolate(x, scale_factor=2, mode='bilinear', align_corners=False) + y
return y, self.NonLinearity2(y)
class DiscriminatorDownsampleBlock(nn.Module):
def __init__(self, InputChannels, OutputChannels, ReceptiveField=3):
super(DiscriminatorDownsampleBlock, self).__init__()
CompressedChannels = OutputChannels // CompressionFactor
self.LinearLayer1 = MSRInitializer(nn.Conv2d(InputChannels, CompressedChannels, kernel_size=ReceptiveField, stride=1, padding=(ReceptiveField - 1) // 2, bias=False), ActivationGain=SiLUGain)
self.LinearLayer2 = MSRInitializer(nn.Conv2d(CompressedChannels * 4, OutputChannels, kernel_size=ReceptiveField, stride=1, padding=(ReceptiveField - 1) // 2, bias=False), ActivationGain=0)
self.NonLinearity1 = BiasedActivation(InputChannels)
self.NonLinearity2 = BiasedActivation(CompressedChannels)
if InputChannels != OutputChannels:
self.ShortcutLayer = MSRInitializer(nn.Conv2d(InputChannels, OutputChannels, kernel_size=1, stride=1, padding=0, bias=False))
def forward(self, x):
y = self.LinearLayer1(self.NonLinearity1(x))
y = nn.functional.pixel_unshuffle(self.NonLinearity2(y), 2)
y = self.LinearLayer2(y)
x = nn.functional.interpolate(x, scale_factor=0.5, mode='bilinear', align_corners=False, recompute_scale_factor=True)
if hasattr(self, 'ShortcutLayer'):
x = self.ShortcutLayer(x)
return x + y
class GeneratorOpeningLayer(nn.Module):
def __init__(self, LatentDimension, OutputChannels):
super(GeneratorOpeningLayer, self).__init__()
self.Basis = nn.Parameter(torch.empty((OutputChannels, 4, 4)))
self.LinearLayer = MSRInitializer(nn.Linear(LatentDimension, OutputChannels, bias=False))
self.NonLinearity = BiasedActivation(OutputChannels)
self.Basis.data.normal_(0, SiLUGain)
def forward(self, w):
x = self.LinearLayer(w).view(w.shape[0], -1, 1, 1)
y = self.Basis.view(1, -1, 4, 4) * x
return y, self.NonLinearity(y)
class DiscriminatorClosingLayer(nn.Module):
def __init__(self, InputChannels, LatentDimension):
super(DiscriminatorClosingLayer, self).__init__()
self.LinearLayer1 = MSRInitializer(nn.Conv2d(InputChannels, InputChannels, kernel_size=4, stride=1, padding=0, groups=InputChannels, bias=False))
self.LinearLayer2 = MSRInitializer(nn.Linear(InputChannels, LatentDimension, bias=False), ActivationGain=SiLUGain)
self.NonLinearity1 = BiasedActivation(InputChannels)
self.NonLinearity2 = BiasedActivation(LatentDimension, ConvolutionalLayer=False)
def forward(self, x):
y = self.LinearLayer1(self.NonLinearity1(x)).view(x.shape[0], -1)
return self.NonLinearity2(self.LinearLayer2(y))
class FullyConnectedBlock(nn.Module):
def __init__(self, LatentDimension):
super(FullyConnectedBlock, self).__init__()
self.LinearLayer1 = MSRInitializer(nn.Linear(LatentDimension, LatentDimension, bias=False), ActivationGain=SiLUGain)
self.LinearLayer2 = MSRInitializer(nn.Linear(LatentDimension, LatentDimension, bias=False), ActivationGain=0)
self.NonLinearity1 = BiasedActivation(LatentDimension, ConvolutionalLayer=False)
self.NonLinearity2 = BiasedActivation(LatentDimension, ConvolutionalLayer=False)
def forward(self, x):
y = self.LinearLayer1(self.NonLinearity1(x))
y = self.LinearLayer2(self.NonLinearity2(y))
return x + y
class MappingBlock(nn.Module):
def __init__(self, LatentDimension):
super(MappingBlock, self).__init__()
self.LinearLayer1 = MSRInitializer(nn.Linear(LatentDimension, LatentDimension, bias=False), ActivationGain=SiLUGain)
self.Layer2To3 = FullyConnectedBlock(LatentDimension)
self.Layer4To5 = FullyConnectedBlock(LatentDimension)
self.Layer6To7 = FullyConnectedBlock(LatentDimension)
self.NonLinearity = BiasedActivation(LatentDimension, ConvolutionalLayer=False)
self.LinearLayer8 = MSRInitializer(nn.Linear(LatentDimension, LatentDimension, bias=False), ActivationGain=SiLUGain)
self.ClosingNonLinearity = BiasedActivation(LatentDimension, ConvolutionalLayer=False)
def forward(self, z):
w = self.LinearLayer1(z)
w = self.Layer2To3(w)
w = self.Layer4To5(w)
w = self.Layer6To7(w)
w = self.LinearLayer8(self.NonLinearity(w))
return self.ClosingNonLinearity(w)
def ToRGB(InputChannels, ResidualComponent=False):
return MSRInitializer(nn.Conv2d(InputChannels, 3, kernel_size=1, stride=1, padding=0, bias=False), ActivationGain=0 if ResidualComponent else 1)
class Generator(nn.Module):
def __init__(self, LatentDimension):
super(Generator, self).__init__()
self.LatentLayer = MappingBlock(LatentDimension)
self.Layer4x4 = GeneratorOpeningLayer(LatentDimension, 64)
self.ToRGB4x4 = ToRGB(64)
Layer8x8 = [GeneratorUpsampleBlock(64, 32)]
self.ToRGB8x8 = ToRGB(32, ResidualComponent=True)
Layer16x16 = [GeneratorUpsampleBlock(32, 16)]
self.ToRGB16x16 = ToRGB(16, ResidualComponent=True)
Layer32x32 = [GeneratorUpsampleBlock(16, 16)]
self.ToRGB32x32 = ToRGB(16, ResidualComponent=True)
Layer64x64 = [GeneratorUpsampleBlock(16, 8)]
self.ToRGB64x64 = ToRGB(8, ResidualComponent=True)
Layer128x128 = [GeneratorUpsampleBlock(8, 8)]
self.ToRGB128x128 = ToRGB(8, ResidualComponent=True)
for _ in range(60):
Layer8x8 += [GeneratorBlock(64)]
for _ in range(60):
Layer16x16 += [GeneratorBlock(32)]
for _ in range(60):
Layer32x32 += [GeneratorBlock(16)]
for _ in range(60):
Layer64x64 += [GeneratorBlock(16)]
for _ in range(60):
Layer128x128 += [GeneratorBlock(8)]
Layer8x8.reverse()
Layer16x16.reverse()
Layer32x32.reverse()
Layer64x64.reverse()
Layer128x128.reverse()
self.Layer8x8 = nn.ModuleList(Layer8x8)
self.Layer16x16 = nn.ModuleList(Layer16x16)
self.Layer32x32 = nn.ModuleList(Layer32x32)
self.Layer64x64 = nn.ModuleList(Layer64x64)
self.Layer128x128 = nn.ModuleList(Layer128x128)
def forward(self, z, EnableLatentMapping=True):
w = self.LatentLayer(z) if EnableLatentMapping else z
y, ActivationMaps = self.Layer4x4(w)
Output4x4 = self.ToRGB4x4(ActivationMaps)
for Block in self.Layer8x8:
y, ActivationMaps = Block(y, ActivationMaps)
Output8x8 = nn.functional.interpolate(Output4x4, scale_factor=2, mode='bilinear', align_corners=False) + self.ToRGB8x8(ActivationMaps)
for Block in self.Layer16x16:
y, ActivationMaps = Block(y, ActivationMaps)
Output16x16 = nn.functional.interpolate(Output8x8, scale_factor=2, mode='bilinear', align_corners=False) + self.ToRGB16x16(ActivationMaps)
for Block in self.Layer32x32:
y, ActivationMaps = Block(y, ActivationMaps)
Output32x32 = nn.functional.interpolate(Output16x16, scale_factor=2, mode='bilinear', align_corners=False) + self.ToRGB32x32(ActivationMaps)
for Block in self.Layer64x64:
y, ActivationMaps = Block(y, ActivationMaps)
Output64x64 = nn.functional.interpolate(Output32x32, scale_factor=2, mode='bilinear', align_corners=False) + self.ToRGB64x64(ActivationMaps)
for Block in self.Layer128x128:
y, ActivationMaps = Block(y, ActivationMaps)
Output128x128 = nn.functional.interpolate(Output64x64, scale_factor=2, mode='bilinear', align_corners=False) + self.ToRGB128x128(ActivationMaps)
return Output128x128
class Discriminator(nn.Module):
def __init__(self, LatentDimension):
super(Discriminator, self).__init__()
self.FromRGB = MSRInitializer(nn.Conv2d(3, 8, kernel_size=3, stride=1, padding=1, bias=False), ActivationGain=SiLUGain)
Layer128x128 = [DiscriminatorDownsampleBlock(8, 8)]
Layer64x64 = [DiscriminatorDownsampleBlock(8, 16)]
Layer32x32 = [DiscriminatorDownsampleBlock(16, 16)]
Layer16x16 = [DiscriminatorDownsampleBlock(16, 32)]
Layer8x8 = [DiscriminatorDownsampleBlock(32, 64)]
self.Layer4x4 = DiscriminatorClosingLayer(64, LatentDimension)
self.CriticLayer = MSRInitializer(nn.Linear(LatentDimension, 1))
for _ in range(60):
Layer8x8 += [DiscriminatorBlock(64)]
for _ in range(60):
Layer16x16 += [DiscriminatorBlock(32)]
for _ in range(60):
Layer32x32 += [DiscriminatorBlock(16)]
for _ in range(60):
Layer64x64 += [DiscriminatorBlock(16)]
for _ in range(60):
Layer128x128 += [DiscriminatorBlock(8)]
self.Layer8x8 = nn.ModuleList(Layer8x8)
self.Layer16x16 = nn.ModuleList(Layer16x16)
self.Layer32x32 = nn.ModuleList(Layer32x32)
self.Layer64x64 = nn.ModuleList(Layer64x64)
self.Layer128x128 = nn.ModuleList(Layer128x128)
def forward(self, x):
x = self.FromRGB(x)
for Block in self.Layer128x128:
x = Block(x)
for Block in self.Layer64x64:
x = Block(x)
for Block in self.Layer32x32:
x = Block(x)
for Block in self.Layer16x16:
x = Block(x)
for Block in self.Layer8x8:
x = Block(x)
x = self.Layer4x4(x)
return self.CriticLayer(x).squeeze()
Raw
Train.py
import argparse
import os
import random
import numpy
import torch
import logging
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torchvision.utils as vutils
import copy
from Network import Generator, Discriminator
from Loss import ZeroCenteredGradientPenalty, RelativisticLoss
ema_beta = 0.998 # ffhq: 0.99778438712388889017237329703832 cifar: 0.99991128109664301904760707704894
w_avg_beta = 0.998
gamma = 1
def run():
torch.set_printoptions(threshold=1)
logging.basicConfig(level=logging.INFO, filename='train_log.txt')
parser = argparse.ArgumentParser()
parser.add_argument('--batchSize', type=int, default=16, help='input batch size')
parser.add_argument('--imageSize', type=int, default=128, help='the height / width of the input image to network')
parser.add_argument('--lr', type=float, default=2e-5, help='learning rate')
parser.add_argument('--nz', type=int, default=64, help='size of the latent z vector')
parser.add_argument('--workers', type=int, help='number of data loading workers', default=8)
parser.add_argument('--outf', default='.', help='folder to output images and model checkpoints')
model = None #torch.load('epoch_613.pth', map_location='cpu')
opt = parser.parse_args()
print(opt)
try:
os.makedirs(opt.outf)
except OSError:
pass
manualSeed = 42
print("Random Seed: ", manualSeed)
random.seed(manualSeed)
torch.manual_seed(manualSeed)
torch.cuda.manual_seed(manualSeed)
torch.cuda.manual_seed_all(manualSeed)
numpy.random.seed(manualSeed)
cudnn.benchmark = True
dataset = dset.ImageFolder('./Data',transform=transforms.Compose([
transforms.Resize(opt.imageSize),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
transforms.RandomHorizontalFlip(p=0.5)
]))
dataloader = torch.utils.data.DataLoader(dataset, batch_size=opt.batchSize * 2,
shuffle=True, num_workers=int(opt.workers), drop_last=True)
device = torch.device("cuda:0")
nz = int(opt.nz)
fixed_noise = torch.randn(16, nz, device=device)
w_avg = torch.zeros(nz)
netG = Generator(nz).to(device)
netD = Discriminator(nz).to(device)
G_ema = copy.deepcopy(netG).eval()
optimizerD = optim.Adam(netD.parameters(), lr=opt.lr, betas=(0, 0.99))
optimizerG = optim.Adam(netG.parameters(), lr=opt.lr, betas=(0, 0.99))
if model is not None:
w_avg = model['w_avg']
fixed_noise = model['fixed_noise'].to(device)
netG.load_state_dict(model['g_state_dict'], strict=True)
netD.load_state_dict(model['d_state_dict'], strict=True)
G_ema.load_state_dict(model['g_ema_state_dict'], strict=True)
optimizerD.load_state_dict(model['optimizerD_state_dict'])
optimizerG.load_state_dict(model['optimizerG_state_dict'])
print('G params: ' + str(sum(p.numel() for p in netG.parameters() if p.requires_grad)))
print('D params: ' + str(sum(p.numel() for p in netD.parameters() if p.requires_grad)))
for epoch in range(0 if model is None else model['epoch'] + 1, 1000000):
for i, data in enumerate(dataloader, 0):
netD.requires_grad = True
netG.requires_grad = False
netD.zero_grad()
real = data[0][0 : opt.batchSize, :, :, :].to(device)
real.requires_grad = True
noise = torch.randn(opt.batchSize, nz, device=device)
fake = netG(noise)
output_r = netD(real)
output_f = netD(fake)
r1_penalty = ZeroCenteredGradientPenalty(real, output_r)
r2_penalty = ZeroCenteredGradientPenalty(fake, output_f)
errD = RelativisticLoss(output_r, output_f) + gamma * (r1_penalty + r2_penalty)
errD.backward()
optimizerD.step()
###########################
netD.requires_grad = False
netG.requires_grad = True
netG.zero_grad()
real = data[0][opt.batchSize : 2 * opt.batchSize, :, :, :].to(device)
noise = torch.randn(opt.batchSize, nz, device=device)
fake = netG(noise)
output_f = netD(fake)
output_r = netD(real)
errG = RelativisticLoss(output_f, output_r)
errG.backward()
optimizerG.step()
###########################
with torch.no_grad():
for p_ema, p in zip(G_ema.parameters(), netG.parameters()):
p_ema.copy_(p.lerp(p_ema, ema_beta))
for b_ema, b in zip(G_ema.buffers(), netG.buffers()):
b_ema.copy_(b)
###########################
noise = torch.randn(opt.batchSize, nz, device=device)
w = G_ema.LatentLayer(noise)
w_avg = w_avg + (1 - w_avg_beta) * (w.mean(0).detach().cpu() - w_avg)
###########################
log_str = '[%d][%d/%d] Loss_D: %.4f Loss_G: %.4f R1: %.4f R2: %.4f' % (epoch, i, len(dataloader), errD.detach().item(), errG.detach().item(), gamma * r1_penalty.detach().item(), gamma * r2_penalty.detach().item())
log_str += ' w_avg: ' + str(w_avg).removeprefix('tensor(').removesuffix(')')
print(log_str)
logging.info(log_str)
###########################
if i % 100 == 0:
fake = G_ema(fixed_noise)
mean = G_ema(w_avg.to(device).view(1, -1), EnableLatentMapping=False)
vutils.save_image(real, '%s/real_samples.png' % opt.outf, normalize=True, nrow=4)
vutils.save_image(torch.clamp(fake.detach(), -1, 1), '%s/fake_samples_epoch_%04d_%04d.png' % (opt.outf, epoch, i), normalize=True, nrow=4)
vutils.save_image(torch.clamp(mean.detach(), -1, 1), '%s/mean_sample_epoch_%04d_%04d.png' % (opt.outf, epoch, i), normalize=True, nrow=1)
torch.save({
'epoch': epoch,
'g_ema_state_dict': G_ema.state_dict(),
'g_state_dict': netG.state_dict(),
'd_state_dict': netD.state_dict(),
'optimizerG_state_dict': optimizerG.state_dict(),
'optimizerD_state_dict': optimizerD.state_dict(),
'w_avg': w_avg,
'fixed_noise': fixed_noise,
'loss_D': errD.detach().item(),
'loss_G': errG.detach().item(),
'r1_penalty': gamma * r1_penalty.detach().item(),
'r2_penalty': gamma * r2_penalty.detach().item(),
}, '%s/epoch_%d.pth' % (opt.outf, epoch))
if __name__ == '__main__':
run()
Raw
train_log.txt
This file has been truncated, but you can view the full file.
INFO:root:[0][0/2187] Loss_D: 0.6628 Loss_G: 0.8583 R1: 0.0001 R2: 0.0001 w_avg: [ 0.0009, 0.0011, 0.0004, ..., -0.0002, -0.0001, 0.0007]
INFO:root:[0][1/2187] Loss_D: 0.5888 Loss_G: 1.1664 R1: 0.0001 R2: 0.0001 w_avg: [ 1.4609e-03, 2.1368e-03, 9.9348e-04, ..., -3.8122e-04,
3.9345e-06, 5.7431e-04]
INFO:root:[0][2/2187] Loss_D: 0.4368 Loss_G: 1.5520 R1: 0.0003 R2: 0.0001 w_avg: [ 1.8301e-03, 3.0232e-03, 1.6141e-03, ..., -6.7475e-04,
-5.0955e-05, 1.0487e-03]
INFO:root:[0][3/2187] Loss_D: 0.2473 Loss_G: 1.8158 R1: 0.0008 R2: 0.0002 w_avg: [ 0.0028, 0.0040, 0.0025, ..., -0.0010, -0.0004, 0.0016]
INFO:root:[0][4/2187] Loss_D: 0.2874 Loss_G: 2.6985 R1: 0.0011 R2: 0.0004 w_avg: [ 0.0049, 0.0057, 0.0050, ..., -0.0008, -0.0002, 0.0018]
INFO:root:[0][5/2187] Loss_D: 0.2068 Loss_G: 3.2460 R1: 0.0026 R2: 0.0008 w_avg: [ 0.0054, 0.0065, 0.0055, ..., -0.0010, -0.0002, 0.0019]
INFO:root:[0][6/2187] Loss_D: 0.2486 Loss_G: 3.3230 R1: 0.0047 R2: 0.0010 w_avg: [ 6.3141e-03, 7.6419e-03, 6.5480e-03, ..., -1.3030e-03,
-9.9542e-05, 2.0360e-03]
INFO:root:[0][7/2187] Loss_D: 0.0891 Loss_G: 4.2237 R1: 0.0046 R2: 0.0006 w_avg: [ 0.0077, 0.0082, 0.0080, ..., -0.0014, -0.0003, 0.0019]
INFO:root:[0][8/2187] Loss_D: 0.0960 Loss_G: 3.2470 R1: 0.0085 R2: 0.0017 w_avg: [ 0.0096, 0.0093, 0.0095, ..., -0.0013, -0.0003, 0.0019]
INFO:root:[0][9/2187] Loss_D: 1.7324 Loss_G: 7.2201 R1: 0.0063 R2: 0.0031 w_avg: [ 1.0347e-02, 9.8663e-03, 1.0361e-02, ..., -1.6691e-03,
-8.3232e-05, 1.9701e-03]
INFO:root:[0][10/2187] Loss_D: 1.6037 Loss_G: 6.3865 R1: 0.0180 R2: 0.0006 w_avg: [ 0.0112, 0.0111, 0.0117, ..., -0.0019, 0.0002, 0.0023]
INFO:root:[0][11/2187] Loss_D: 5.4388 Loss_G: 12.1545 R1: 0.0323 R2: 0.0005 w_avg: [ 0.0127, 0.0121, 0.0128, ..., -0.0021, 0.0003, 0.0024]
INFO:root:[0][12/2187] Loss_D: 12.5628 Loss_G: 74.2911 R1: 0.0799 R2: 0.0002 w_avg: [ 0.0139, 0.0128, 0.0132, ..., -0.0019, 0.0005, 0.0023]
INFO:root:[0][13/2187] Loss_D: 0.5080 Loss_G: 17.0220 R1: 0.5076 R2: 0.0001 w_avg: [ 0.0154, 0.0141, 0.0137, ..., -0.0020, 0.0007, 0.0023]
INFO:root:[0][14/2187] Loss_D: 0.3640 Loss_G: 31.0446 R1: 0.3639 R2: 0.0002 w_avg: [ 0.0162, 0.0145, 0.0148, ..., -0.0024, 0.0004, 0.0027]
INFO:root:[0][15/2187] Loss_D: 0.1981 Loss_G: 20.6637 R1: 0.1923 R2: 0.0002 w_avg: [ 0.0177, 0.0148, 0.0154, ..., -0.0021, 0.0009, 0.0028]
INFO:root:[0][16/2187] Loss_D: 0.1501 Loss_G: 24.6809 R1: 0.1302 R2: 0.0001 w_avg: [ 0.0193, 0.0152, 0.0161, ..., -0.0021, 0.0009, 0.0030]
INFO:root:[0][17/2187] Loss_D: 0.1428 Loss_G: 18.2301 R1: 0.1417 R2: 0.0002 w_avg: [ 0.0206, 0.0156, 0.0176, ..., -0.0023, 0.0012, 0.0032]
INFO:root:[0][18/2187] Loss_D: 0.1278 Loss_G: 14.3439 R1: 0.1273 R2: 0.0004 w_avg: [ 0.0213, 0.0160, 0.0187, ..., -0.0022, 0.0012, 0.0034]
INFO:root:[0][19/2187] Loss_D: 0.0961 Loss_G: 11.5629 R1: 0.0941 R2: 0.0003 w_avg: [ 0.0227, 0.0168, 0.0191, ..., -0.0025, 0.0017, 0.0037]
INFO:root:[0][20/2187] Loss_D: 0.0773 Loss_G: 16.8863 R1: 0.0642 R2: 0.0002 w_avg: [ 0.0244, 0.0179, 0.0202, ..., -0.0028, 0.0017, 0.0041]
INFO:root:[0][21/2187] Loss_D: 0.0845 Loss_G: 17.1113 R1: 0.0837 R2: 0.0002 w_avg: [ 0.0255, 0.0186, 0.0205, ..., -0.0032, 0.0019, 0.0044]
INFO:root:[0][22/2187] Loss_D: 0.0753 Loss_G: 13.0000 R1: 0.0590 R2: 0.0014 w_avg: [ 0.0263, 0.0191, 0.0207, ..., -0.0033, 0.0017, 0.0043]
INFO:root:[0][23/2187] Loss_D: 0.0618 Loss_G: 12.5568 R1: 0.0575 R2: 0.0004 w_avg: [ 0.0277, 0.0196, 0.0219, ..., -0.0035, 0.0019, 0.0049]
INFO:root:[0][24/2187] Loss_D: 0.0727 Loss_G: 12.3128 R1: 0.0458 R2: 0.0005 w_avg: [ 0.0287, 0.0208, 0.0227, ..., -0.0035, 0.0020, 0.0051]
INFO:root:[0][25/2187] Loss_D: 0.0686 Loss_G: 11.4138 R1: 0.0507 R2: 0.0052 w_avg: [ 0.0298, 0.0217, 0.0233, ..., -0.0037, 0.0017, 0.0051]
INFO:root:[0][26/2187] Loss_D: 0.0613 Loss_G: 10.6337 R1: 0.0362 R2: 0.0044 w_avg: [ 0.0309, 0.0220, 0.0244, ..., -0.0035, 0.0018, 0.0058]
INFO:root:[0][27/2187] Loss_D: 0.1273 Loss_G: 8.7285 R1: 0.0476 R2: 0.0064 w_avg: [ 0.0324, 0.0229, 0.0254, ..., -0.0038, 0.0018, 0.0061]
INFO:root:[0][28/2187] Loss_D: 0.0513 Loss_G: 9.5111 R1: 0.0370 R2: 0.0014 w_avg: [ 0.0340, 0.0233, 0.0266, ..., -0.0036, 0.0016, 0.0061]
INFO:root:[0][29/2187] Loss_D: 0.0767 Loss_G: 12.0375 R1: 0.0321 R2: 0.0064 w_avg: [ 0.0354, 0.0241, 0.0269, ..., -0.0033, 0.0016, 0.0063]
INFO:root:[0][30/2187] Loss_D: 0.0630 Loss_G: 8.7203 R1: 0.0350 R2: 0.0110 w_avg: [ 0.0373, 0.0244, 0.0275, ..., -0.0033, 0.0017, 0.0069]
INFO:root:[0][31/2187] Loss_D: 0.4282 Loss_G: 3.5910 R1: 0.0226 R2: 0.0088 w_avg: [ 0.0383, 0.0250, 0.0289, ..., -0.0035, 0.0017, 0.0070]
INFO:root:[0][32/2187] Loss_D: 0.1961 Loss_G: 3.7982 R1: 0.0218 R2: 0.0042 w_avg: [ 0.0394, 0.0260, 0.0298, ..., -0.0037, 0.0018, 0.0073]
INFO:root:[0][33/2187] Loss_D: 0.5593 Loss_G: 3.9466 R1: 0.0317 R2: 0.0234 w_avg: [ 0.0401, 0.0263, 0.0299, ..., -0.0034, 0.0016, 0.0078]
INFO:root:[0][34/2187] Loss_D: 0.7840 Loss_G: 5.3145 R1: 0.0149 R2: 0.0135 w_avg: [ 0.0417, 0.0268, 0.0306, ..., -0.0037, 0.0016, 0.0080]
INFO:root:[0][35/2187] Loss_D: 0.3465 Loss_G: 3.3490 R1: 0.0160 R2: 0.0039 w_avg: [ 0.0431, 0.0271, 0.0308, ..., -0.0038, 0.0017, 0.0081]
INFO:root:[0][36/2187] Loss_D: 0.1288 Loss_G: 3.6891 R1: 0.0123 R2: 0.0039 w_avg: [ 0.0451, 0.0277, 0.0319, ..., -0.0036, 0.0016, 0.0086]
INFO:root:[0][37/2187] Loss_D: 0.1599 Loss_G: 4.0017 R1: 0.0112 R2: 0.0032 w_avg: [ 0.0459, 0.0282, 0.0322, ..., -0.0037, 0.0016, 0.0092]
INFO:root:[0][38/2187] Loss_D: 0.1789 Loss_G: 3.2289 R1: 0.0081 R2: 0.0018 w_avg: [ 0.0470, 0.0288, 0.0331, ..., -0.0039, 0.0015, 0.0092]
INFO:root:[0][39/2187] Loss_D: 0.1314 Loss_G: 5.0207 R1: 0.0088 R2: 0.0020 w_avg: [ 0.0492, 0.0294, 0.0340, ..., -0.0042, 0.0018, 0.0095]
INFO:root:[0][40/2187] Loss_D: 0.1722 Loss_G: 3.6998 R1: 0.0121 R2: 0.0026 w_avg: [ 0.0498, 0.0306, 0.0342, ..., -0.0037, 0.0014, 0.0094]
INFO:root:[0][41/2187] Loss_D: 0.0695 Loss_G: 4.5645 R1: 0.0134 R2: 0.0037 w_avg: [ 0.0521, 0.0315, 0.0348, ..., -0.0038, 0.0013, 0.0097]
INFO:root:[0][42/2187] Loss_D: 0.0762 Loss_G: 4.0169 R1: 0.0093 R2: 0.0024 w_avg: [ 0.0537, 0.0321, 0.0351, ..., -0.0040, 0.0019, 0.0097]
INFO:root:[0][43/2187] Loss_D: 0.1662 Loss_G: 3.4908 R1: 0.0112 R2: 0.0036 w_avg: [ 0.0554, 0.0325, 0.0360, ..., -0.0042, 0.0023, 0.0100]
INFO:root:[0][44/2187] Loss_D: 0.1069 Loss_G: 4.8542 R1: 0.0138 R2: 0.0032 w_avg: [ 0.0572, 0.0336, 0.0373, ..., -0.0042, 0.0025, 0.0102]
INFO:root:[0][45/2187] Loss_D: 0.0975 Loss_G: 3.8418 R1: 0.0142 R2: 0.0034 w_avg: [ 0.0584, 0.0341, 0.0386, ..., -0.0042, 0.0028, 0.0105]
INFO:root:[0][46/2187] Loss_D: 0.1436 Loss_G: 2.9123 R1: 0.0098 R2: 0.0027 w_avg: [ 0.0601, 0.0352, 0.0400, ..., -0.0038, 0.0027, 0.0108]
INFO:root:[0][47/2187] Loss_D: 0.0966 Loss_G: 4.4455 R1: 0.0140 R2: 0.0017 w_avg: [ 0.0613, 0.0356, 0.0412, ..., -0.0037, 0.0027, 0.0112]
INFO:root:[0][48/2187] Loss_D: 0.2170 Loss_G: 4.1375 R1: 0.0101 R2: 0.0035 w_avg: [ 0.0633, 0.0359, 0.0417, ..., -0.0038, 0.0029, 0.0114]
INFO:root:[0][49/2187] Loss_D: 0.1328 Loss_G: 4.2289 R1: 0.0131 R2: 0.0037 w_avg: [ 0.0640, 0.0364, 0.0425, ..., -0.0038, 0.0029, 0.0119]
INFO:root:[0][50/2187] Loss_D: 0.1816 Loss_G: 4.4315 R1: 0.0098 R2: 0.0032 w_avg: [ 0.0645, 0.0368, 0.0430, ..., -0.0041, 0.0028, 0.0120]
INFO:root:[0][51/2187] Loss_D: 0.3940 Loss_G: 4.7118 R1: 0.0150 R2: 0.0025 w_avg: [ 0.0649, 0.0372, 0.0436, ..., -0.0042, 0.0027, 0.0118]
INFO:root:[0][52/2187] Loss_D: 0.0918 Loss_G: 5.3505 R1: 0.0118 R2: 0.0035 w_avg: [ 0.0658, 0.0379, 0.0446, ..., -0.0042, 0.0027, 0.0119]
INFO:root:[0][53/2187] Loss_D: 0.1382 Loss_G: 5.6045 R1: 0.0126 R2: 0.0044 w_avg: [ 0.0669, 0.0380, 0.0456, ..., -0.0045, 0.0027, 0.0120]
INFO:root:[0][54/2187] Loss_D: 0.0608 Loss_G: 3.7828 R1: 0.0137 R2: 0.0034 w_avg: [ 0.0682, 0.0384, 0.0464, ..., -0.0045, 0.0024, 0.0120]
INFO:root:[0][55/2187] Loss_D: 0.1528 Loss_G: 3.2963 R1: 0.0129 R2: 0.0046 w_avg: [ 0.0692, 0.0390, 0.0471, ..., -0.0046, 0.0022, 0.0121]
INFO:root:[0][56/2187] Loss_D: 0.1338 Loss_G: 3.4169 R1: 0.0148 R2: 0.0030 w_avg: [ 0.0707, 0.0398, 0.0482, ..., -0.0047, 0.0023, 0.0128]
INFO:root:[0][57/2187] Loss_D: 0.1390 Loss_G: 3.8538 R1: 0.0102 R2: 0.0034 w_avg: [ 0.0722, 0.0408, 0.0490, ..., -0.0042, 0.0029, 0.0129]
INFO:root:[0][58/2187] Loss_D: 0.0629 Loss_G: 4.1403 R1: 0.0176 R2: 0.0037 w_avg: [ 0.0735, 0.0414, 0.0497, ..., -0.0044, 0.0027, 0.0132]
INFO:root:[0][59/2187] Loss_D: 0.2061 Loss_G: 4.2255 R1: 0.0146 R2: 0.0050 w_avg: [ 0.0742, 0.0422, 0.0498, ..., -0.0044, 0.0027, 0.0135]
INFO:root:[0][60/2187] Loss_D: 0.0986 Loss_G: 4.0338 R1: 0.0112 R2: 0.0034 w_avg: [ 0.0753, 0.0430, 0.0515, ..., -0.0048, 0.0032, 0.0136]
INFO:root:[0][61/2187] Loss_D: 0.0916 Loss_G: 5.6526 R1: 0.0125 R2: 0.0040 w_avg: [ 0.0764, 0.0439, 0.0528, ..., -0.0050, 0.0032, 0.0135]
INFO:root:[0][62/2187] Loss_D: 0.0993 Loss_G: 3.8891 R1: 0.0147 R2: 0.0041 w_avg: [ 0.0779, 0.0446, 0.0541, ..., -0.0047, 0.0032, 0.0135]
INFO:root:[0][63/2187] Loss_D: 0.1695 Loss_G: 4.7643 R1: 0.0100 R2: 0.0053 w_avg: [ 0.0789, 0.0451, 0.0556, ..., -0.0045, 0.0031, 0.0139]
INFO:root:[0][64/2187] Loss_D: 0.1089 Loss_G: 4.4517 R1: 0.0169 R2: 0.0063 w_avg: [ 0.0793, 0.0458, 0.0565, ..., -0.0048, 0.0027, 0.0138]
INFO:root:[0][65/2187] Loss_D: 0.6616 Loss_G: 25.4273 R1: 0.0125 R2: 0.0082 w_avg: [ 0.0805, 0.0468, 0.0568, ..., -0.0050, 0.0026, 0.0138]
INFO:root:[0][66/2187] Loss_D: 1.5987 Loss_G: 2.7574 R1: 0.0234 R2: 0.0030 w_avg: [ 0.0822, 0.0473, 0.0576, ..., -0.0049, 0.0026, 0.0137]
INFO:root:[0][67/2187] Loss_D: 0.2940 Loss_G: 2.8419 R1: 0.0060 R2: 0.0021 w_avg: [ 0.0834, 0.0476, 0.0588, ..., -0.0051, 0.0027, 0.0138]
INFO:root:[0][68/2187] Loss_D: 0.1697 Loss_G: 2.8016 R1: 0.0058 R2: 0.0029 w_avg: [ 0.0839, 0.0482, 0.0589, ..., -0.0051, 0.0029, 0.0138]
INFO:root:[0][69/2187] Loss_D: 0.1526 Loss_G: 3.0091 R1: 0.0062 R2: 0.0023 w_avg: [ 0.0843, 0.0486, 0.0593, ..., -0.0053, 0.0027, 0.0138]
INFO:root:[0][70/2187] Loss_D: 0.1197 Loss_G: 2.3870 R1: 0.0065 R2: 0.0024 w_avg: [ 0.0859, 0.0494, 0.0606, ..., -0.0054, 0.0023, 0.0145]
INFO:root:[0][71/2187] Loss_D: 0.2858 Loss_G: 2.9299 R1: 0.0047 R2: 0.0028 w_avg: [ 0.0867, 0.0500, 0.0613, ..., -0.0055, 0.0025, 0.0144]
INFO:root:[0][72/2187] Loss_D: 0.2317 Loss_G: 2.7433 R1: 0.0057 R2: 0.0031 w_avg: [ 0.0881, 0.0510, 0.0617, ..., -0.0054, 0.0023, 0.0146]
INFO:root:[0][73/2187] Loss_D: 0.1816 Loss_G: 3.3037 R1: 0.0068 R2: 0.0031 w_avg: [ 0.0885, 0.0512, 0.0618, ..., -0.0055, 0.0021, 0.0149]
INFO:root:[0][74/2187] Loss_D: 0.3679 Loss_G: 3.2493 R1: 0.0065 R2: 0.0030 w_avg: [ 0.0891, 0.0516, 0.0627, ..., -0.0055, 0.0023, 0.0152]
INFO:root:[0][75/2187] Loss_D: 0.1817 Loss_G: 4.7167 R1: 0.0091 R2: 0.0027 w_avg: [ 0.0908, 0.0524, 0.0631, ..., -0.0051, 0.0021, 0.0153]
INFO:root:[0][76/2187] Loss_D: 0.2242 Loss_G: 3.8199 R1: 0.0111 R2: 0.0033 w_avg: [ 0.0916, 0.0531, 0.0637, ..., -0.0050, 0.0021, 0.0157]
INFO:root:[0][77/2187] Loss_D: 0.5782 Loss_G: 3.3224 R1: 0.0084 R2: 0.0040 w_avg: [ 0.0930, 0.0535, 0.0647, ..., -0.0049, 0.0021, 0.0158]
INFO:root:[0][78/2187] Loss_D: 0.4380 Loss_G: 3.0942 R1: 0.0086 R2: 0.0035 w_avg: [ 0.0948, 0.0547, 0.0660, ..., -0.0051, 0.0024, 0.0161]
INFO:root:[0][79/2187] Loss_D: 0.2500 Loss_G: 5.7868 R1: 0.0143 R2: 0.0039 w_avg: [ 0.0960, 0.0558, 0.0673, ..., -0.0051, 0.0025, 0.0160]
INFO:root:[0][80/2187] Loss_D: 0.0988 Loss_G: 2.9364 R1: 0.0190 R2: 0.0058 w_avg: [ 0.0975, 0.0568, 0.0683, ..., -0.0054, 0.0026, 0.0164]
INFO:root:[0][81/2187] Loss_D: 0.3207 Loss_G: 4.1293 R1: 0.0157 R2: 0.0092 w_avg: [ 0.0987, 0.0578, 0.0696, ..., -0.0056, 0.0024, 0.0167]
INFO:root:[0][82/2187] Loss_D: 0.2246 Loss_G: 4.3708 R1: 0.0167 R2: 0.0075 w_avg: [ 0.0996, 0.0587, 0.0700, ..., -0.0054, 0.0026, 0.0172]
INFO:root:[0][83/2187] Loss_D: 0.3344 Loss_G: 6.7425 R1: 0.0117 R2: 0.0078 w_avg: [ 0.1016, 0.0595, 0.0709, ..., -0.0057, 0.0025, 0.0176]
INFO:root:[0][84/2187] Loss_D: 0.1283 Loss_G: 3.5549 R1: 0.0153 R2: 0.0079 w_avg: [ 0.1037, 0.0599, 0.0712, ..., -0.0055, 0.0029, 0.0182]
INFO:root:[0][85/2187] Loss_D: 0.1987 Loss_G: 6.4105 R1: 0.0139 R2: 0.0089 w_avg: [ 0.1041, 0.0610, 0.0719, ..., -0.0057, 0.0027, 0.0179]
INFO:root:[0][86/2187] Loss_D: 0.0964 Loss_G: 2.9634 R1: 0.0165 R2: 0.0112 w_avg: [ 0.1060, 0.0621, 0.0733, ..., -0.0056, 0.0025, 0.0186]
INFO:root:[0][87/2187] Loss_D: 0.1188 Loss_G: 5.0009 R1: 0.0210 R2: 0.0073 w_avg: [ 0.1079, 0.0629, 0.0744, ..., -0.0057, 0.0026, 0.0185]
INFO:root:[0][88/2187] Loss_D: 0.2219 Loss_G: 4.6380 R1: 0.0155 R2: 0.0126 w_avg: [ 0.1097, 0.0638, 0.0753, ..., -0.0054, 0.0030, 0.0192]
INFO:root:[0][89/2187] Loss_D: 0.3053 Loss_G: 3.5532 R1: 0.0163 R2: 0.0137 w_avg: [ 0.1103, 0.0641, 0.0760, ..., -0.0056, 0.0031, 0.0195]
INFO:root:[0][90/2187] Loss_D: 0.1440 Loss_G: 2.9676 R1: 0.0181 R2: 0.0137 w_avg: [ 0.1114, 0.0647, 0.0766, ..., -0.0059, 0.0030, 0.0195]
INFO:root:[0][91/2187] Loss_D: 0.6113 Loss_G: 3.9354 R1: 0.0172 R2: 0.0149 w_avg: [ 0.1121, 0.0654, 0.0769, ..., -0.0059, 0.0030, 0.0195]
INFO:root:[0][92/2187] Loss_D: 0.1904 Loss_G: 4.2366 R1: 0.0106 R2: 0.0099 w_avg: [ 0.1124, 0.0655, 0.0774, ..., -0.0059, 0.0028, 0.0195]
INFO:root:[0][93/2187] Loss_D: 0.3255 Loss_G: 4.9785 R1: 0.0145 R2: 0.0074 w_avg: [ 0.1134, 0.0666, 0.0783, ..., -0.0059, 0.0026, 0.0193]
INFO:root:[0][94/2187] Loss_D: 0.2104 Loss_G: 3.0501 R1: 0.0129 R2: 0.0059 w_avg: [ 0.1143, 0.0672, 0.0795, ..., -0.0061, 0.0025, 0.0196]
INFO:root:[0][95/2187] Loss_D: 0.1974 Loss_G: 3.3894 R1: 0.0114 R2: 0.0064 w_avg: [ 0.1146, 0.0682, 0.0801, ..., -0.0060, 0.0025, 0.0199]
INFO:root:[0][96/2187] Loss_D: 0.1768 Loss_G: 5.5581 R1: 0.0102 R2: 0.0041 w_avg: [ 0.1155, 0.0690, 0.0808, ..., -0.0060, 0.0024, 0.0206]
INFO:root:[0][97/2187] Loss_D: 0.1100 Loss_G: 5.4786 R1: 0.0119 R2: 0.0060 w_avg: [ 0.1165, 0.0696, 0.0817, ..., -0.0058, 0.0024, 0.0206]
INFO:root:[0][98/2187] Loss_D: 0.1860 Loss_G: 3.6678 R1: 0.0109 R2: 0.0063 w_avg: [ 0.1180, 0.0705, 0.0821, ..., -0.0060, 0.0029, 0.0207]
INFO:root:[0][99/2187] Loss_D: 0.1203 Loss_G: 5.4940 R1: 0.0109 R2: 0.0057 w_avg: [ 0.1192, 0.0715, 0.0834, ..., -0.0056, 0.0030, 0.0213]
INFO:root:[0][100/2187] Loss_D: 0.1814 Loss_G: 5.5326 R1: 0.0093 R2: 0.0045 w_avg: [ 0.1211, 0.0722, 0.0843, ..., -0.0056, 0.0032, 0.0212]
INFO:root:[0][101/2187] Loss_D: 0.0866 Loss_G: 5.3634 R1: 0.0140 R2: 0.0072 w_avg: [ 0.1212, 0.0723, 0.0846, ..., -0.0059, 0.0034, 0.0211]
INFO:root:[0][102/2187] Loss_D: 0.3152 Loss_G: 5.4158 R1: 0.0155 R2: 0.0076 w_avg: [ 0.1221, 0.0728, 0.0854, ..., -0.0063, 0.0030, 0.0215]
INFO:root:[0][103/2187] Loss_D: 0.3244 Loss_G: 2.5783 R1: 0.0123 R2: 0.0078 w_avg: [ 0.1230, 0.0733, 0.0855, ..., -0.0065, 0.0030, 0.0217]
INFO:root:[0][104/2187] Loss_D: 0.1640 Loss_G: 6.0405 R1: 0.0122 R2: 0.0056 w_avg: [ 0.1240, 0.0738, 0.0860, ..., -0.0067, 0.0030, 0.0216]
INFO:root:[0][105/2187] Loss_D: 0.0830 Loss_G: 4.4853 R1: 0.0147 R2: 0.0062 w_avg: [ 0.1255, 0.0750, 0.0864, ..., -0.0068, 0.0031, 0.0221]
INFO:root:[0][106/2187] Loss_D: 0.4019 Loss_G: 3.5135 R1: 0.0109 R2: 0.0051 w_avg: [ 0.1267, 0.0758, 0.0878, ..., -0.0071, 0.0033, 0.0227]
INFO:root:[0][107/2187] Loss_D: 0.0586 Loss_G: 3.5037 R1: 0.0122 R2: 0.0079 w_avg: [ 0.1273, 0.0763, 0.0884, ..., -0.0075, 0.0033, 0.0229]
INFO:root:[0][108/2187] Loss_D: 0.1160 Loss_G: 3.9269 R1: 0.0121 R2: 0.0065 w_avg: [ 0.1285, 0.0768, 0.0891, ..., -0.0074, 0.0032, 0.0236]
INFO:root:[0][109/2187] Loss_D: 0.1414 Loss_G: 3.7686 R1: 0.0145 R2: 0.0056 w_avg: [ 0.1294, 0.0772, 0.0904, ..., -0.0075, 0.0032, 0.0236]
INFO:root:[0][110/2187] Loss_D: 0.2540 Loss_G: 5.2975 R1: 0.0116 R2: 0.0083 w_avg: [ 0.1308, 0.0775, 0.0911, ..., -0.0075, 0.0037, 0.0240]
INFO:root:[0][111/2187] Loss_D: 0.3495 Loss_G: 4.3719 R1: 0.0109 R2: 0.0059 w_avg: [ 0.1316, 0.0783, 0.0916, ..., -0.0079, 0.0039, 0.0240]
INFO:root:[0][112/2187] Loss_D: 0.2866 Loss_G: 3.8824 R1: 0.0090 R2: 0.0057 w_avg: [ 0.1325, 0.0787, 0.0923, ..., -0.0079, 0.0040, 0.0244]
INFO:root:[0][113/2187] Loss_D: 0.1256 Loss_G: 4.0497 R1: 0.0094 R2: 0.0044 w_avg: [ 0.1337, 0.0793, 0.0932, ..., -0.0077, 0.0040, 0.0246]
INFO:root:[0][114/2187] Loss_D: 0.1109 Loss_G: 2.6456 R1: 0.0096 R2: 0.0036 w_avg: [ 0.1349, 0.0802, 0.0945, ..., -0.0080, 0.0042, 0.0246]
INFO:root:[0][115/2187] Loss_D: 0.1147 Loss_G: 5.4582 R1: 0.0105 R2: 0.0050 w_avg: [ 0.1364, 0.0808, 0.0957, ..., -0.0078, 0.0040, 0.0247]
INFO:root:[0][116/2187] Loss_D: 0.0851 Loss_G: 4.2175 R1: 0.0131 R2: 0.0045 w_avg: [ 0.1378, 0.0822, 0.0967, ..., -0.0081, 0.0040, 0.0248]
INFO:root:[0][117/2187] Loss_D: 0.1199 Loss_G: 5.7074 R1: 0.0103 R2: 0.0051 w_avg: [ 0.1391, 0.0834, 0.0976, ..., -0.0078, 0.0042, 0.0250]
INFO:root:[0][118/2187] Loss_D: 0.1948 Loss_G: 5.3581 R1: 0.0069 R2: 0.0045 w_avg: [ 0.1398, 0.0833, 0.0978, ..., -0.0080, 0.0038, 0.0255]
INFO:root:[0][119/2187] Loss_D: 0.2031 Loss_G: 4.1133 R1: 0.0113 R2: 0.0059 w_avg: [ 0.1405, 0.0843, 0.0985, ..., -0.0083, 0.0035, 0.0260]
INFO:root:[0][120/2187] Loss_D: 0.0868 Loss_G: 4.8006 R1: 0.0097 R2: 0.0054 w_avg: [ 0.1420, 0.0851, 0.0991, ..., -0.0085, 0.0040, 0.0263]
INFO:root:[0][121/2187] Loss_D: 0.1562 Loss_G: 4.3856 R1: 0.0102 R2: 0.0054 w_avg: [ 0.1440, 0.0859, 0.1003, ..., -0.0087, 0.0045, 0.0268]
INFO:root:[0][122/2187] Loss_D: 0.0733 Loss_G: 3.4116 R1: 0.0108 R2: 0.0063 w_avg: [ 0.1457, 0.0864, 0.1011, ..., -0.0090, 0.0045, 0.0268]
INFO:root:[0][123/2187] Loss_D: 0.0788 Loss_G: 4.8827 R1: 0.0112 R2: 0.0044 w_avg: [ 0.1461, 0.0868, 0.1019, ..., -0.0089, 0.0045, 0.0269]
INFO:root:[0][124/2187] Loss_D: 0.1310 Loss_G: 3.2700 R1: 0.0094 R2: 0.0058 w_avg: [ 0.1476, 0.0874, 0.1030, ..., -0.0093, 0.0045, 0.0266]
INFO:root:[0][125/2187] Loss_D: 0.1375 Loss_G: 4.4859 R1: 0.0094 R2: 0.0051 w_avg: [ 0.1479, 0.0878, 0.1038, ..., -0.0095, 0.0048, 0.0273]
INFO:root:[0][126/2187] Loss_D: 0.0982 Loss_G: 4.5011 R1: 0.0110 R2: 0.0047 w_avg: [ 0.1491, 0.0885, 0.1048, ..., -0.0096, 0.0047, 0.0272]
INFO:root:[0][127/2187] Loss_D: 0.1472 Loss_G: 4.8123 R1: 0.0103 R2: 0.0054 w_avg: [ 0.1502, 0.0887, 0.1057, ..., -0.0097, 0.0045, 0.0277]
INFO:root:[0][128/2187] Loss_D: 0.1147 Loss_G: 6.2586 R1: 0.0114 R2: 0.0060 w_avg: [ 0.1514, 0.0892, 0.1057, ..., -0.0095, 0.0045, 0.0278]
INFO:root:[0][129/2187] Loss_D: 0.0910 Loss_G: 5.0859 R1: 0.0129 R2: 0.0047 w_avg: [ 0.1522, 0.0899, 0.1061, ..., -0.0095, 0.0046, 0.0276]
INFO:root:[0][130/2187] Loss_D: 0.0780 Loss_G: 5.6010 R1: 0.0133 R2: 0.0057 w_avg: [ 0.1534, 0.0906, 0.1068, ..., -0.0096, 0.0048, 0.0282]
INFO:root:[0][131/2187] Loss_D: 0.1385 Loss_G: 4.4131 R1: 0.0132 R2: 0.0058 w_avg: [ 0.1549, 0.0913, 0.1077, ..., -0.0099, 0.0052, 0.0286]
INFO:root:[0][132/2187] Loss_D: 0.0714 Loss_G: 5.6854 R1: 0.0146 R2: 0.0061 w_avg: [ 0.1553, 0.0918, 0.1078, ..., -0.0100, 0.0052, 0.0289]
INFO:root:[0][133/2187] Loss_D: 0.1163 Loss_G: 5.3261 R1: 0.0127 R2: 0.0068 w_avg: [ 0.1562, 0.0923, 0.1083, ..., -0.0101, 0.0050, 0.0287]
INFO:root:[0][134/2187] Loss_D: 0.0819 Loss_G: 4.5447 R1: 0.0128 R2: 0.0043 w_avg: [ 0.1574, 0.0929, 0.1092, ..., -0.0103, 0.0050, 0.0287]
INFO:root:[0][135/2187] Loss_D: 0.2485 Loss_G: 4.3747 R1: 0.0119 R2: 0.0059 w_avg: [ 0.1590, 0.0931, 0.1098, ..., -0.0106, 0.0056, 0.0288]
INFO:root:[0][136/2187] Loss_D: 0.9094 Loss_G: 5.6965 R1: 0.0148 R2: 0.0122 w_avg: [ 0.1607, 0.0934, 0.1097, ..., -0.0109, 0.0056, 0.0290]
INFO:root:[0][137/2187] Loss_D: 0.1113 Loss_G: 3.6751 R1: 0.0105 R2: 0.0079 w_avg: [ 0.1612, 0.0937, 0.1100, ..., -0.0110, 0.0058, 0.0292]
INFO:root:[0][138/2187] Loss_D: 0.1453 Loss_G: 4.9015 R1: 0.0094 R2: 0.0073 w_avg: [ 0.1620, 0.0941, 0.1105, ..., -0.0110, 0.0058, 0.0294]
INFO:root:[0][139/2187] Loss_D: 0.0865 Loss_G: 3.2732 R1: 0.0102 R2: 0.0080 w_avg: [ 0.1630, 0.0952, 0.1113, ..., -0.0111, 0.0056, 0.0294]
INFO:root:[0][140/2187] Loss_D: 0.1437 Loss_G: 4.6709 R1: 0.0122 R2: 0.0068 w_avg: [ 0.1637, 0.0962, 0.1125, ..., -0.0112, 0.0059, 0.0300]
INFO:root:[0][141/2187] Loss_D: 0.0839 Loss_G: 4.4701 R1: 0.0090 R2: 0.0053 w_avg: [ 0.1649, 0.0972, 0.1136, ..., -0.0115, 0.0058, 0.0300]
INFO:root:[0][142/2187] Loss_D: 0.0586 Loss_G: 5.4360 R1: 0.0106 R2: 0.0045 w_avg: [ 0.1653, 0.0978, 0.1144, ..., -0.0115, 0.0058, 0.0305]
INFO:root:[0][143/2187] Loss_D: 0.1174 Loss_G: 3.6602 R1: 0.0086 R2: 0.0035 w_avg: [ 0.1660, 0.0978, 0.1152, ..., -0.0117, 0.0059, 0.0307]
INFO:root:[0][144/2187] Loss_D: 0.1312 Loss_G: 3.6785 R1: 0.0077 R2: 0.0045 w_avg: [ 0.1666, 0.0982, 0.1158, ..., -0.0118, 0.0057, 0.0307]
INFO:root:[0][145/2187] Loss_D: 0.0722 Loss_G: 3.5388 R1: 0.0128 R2: 0.0041 w_avg: [ 0.1675, 0.0988, 0.1166, ..., -0.0110, 0.0060, 0.0308]
INFO:root:[0][146/2187] Loss_D: 0.0665 Loss_G: 6.0411 R1: 0.0120 R2: 0.0049 w_avg: [ 0.1679, 0.0991, 0.1164, ..., -0.0113, 0.0062, 0.0310]
INFO:root:[0][147/2187] Loss_D: 0.0797 Loss_G: 3.5754 R1: 0.0101 R2: 0.0040 w_avg: [ 0.1690, 0.0993, 0.1167, ..., -0.0112, 0.0068, 0.0311]
INFO:root:[0][148/2187] Loss_D: 0.1041 Loss_G: 4.5514 R1: 0.0098 R2: 0.0055 w_avg: [ 0.1693, 0.0999, 0.1175, ..., -0.0112, 0.0068, 0.0319]
INFO:root:[0][149/2187] Loss_D: 0.0424 Loss_G: 5.3268 R1: 0.0128 R2: 0.0070 w_avg: [ 0.1698, 0.1007, 0.1177, ..., -0.0109, 0.0071, 0.0317]
INFO:root:[0][150/2187] Loss_D: 0.1209 Loss_G: 5.1237 R1: 0.0115 R2: 0.0071 w_avg: [ 0.1701, 0.1012, 0.1187, ..., -0.0110, 0.0068, 0.0320]
INFO:root:[0][151/2187] Loss_D: 0.0954 Loss_G: 5.2686 R1: 0.0103 R2: 0.0050 w_avg: [ 0.1705, 0.1019, 0.1190, ..., -0.0110, 0.0067, 0.0321]
INFO:root:[0][152/2187] Loss_D: 0.0690 Loss_G: 4.7097 R1: 0.0107 R2: 0.0051 w_avg: [ 0.1719, 0.1025, 0.1197, ..., -0.0108, 0.0066, 0.0323]
INFO:root:[0][153/2187] Loss_D: 0.0649 Loss_G: 3.9923 R1: 0.0110 R2: 0.0047 w_avg: [ 0.1728, 0.1032, 0.1206, ..., -0.0109, 0.0069, 0.0324]
INFO:root:[0][154/2187] Loss_D: 0.3547 Loss_G: 3.8434 R1: 0.0122 R2: 0.0094 w_avg: [ 0.1730, 0.1040, 0.1209, ..., -0.0110, 0.0068, 0.0323]
INFO:root:[0][155/2187] Loss_D: 0.0682 Loss_G: 4.1748 R1: 0.0122 R2: 0.0067 w_avg: [ 0.1737, 0.1044, 0.1221, ..., -0.0113, 0.0069, 0.0323]
INFO:root:[0][156/2187] Loss_D: 0.1587 Loss_G: 6.0267 R1: 0.0110 R2: 0.0058 w_avg: [ 0.1746, 0.1067, 0.1228, ..., -0.0112, 0.0070, 0.0328]
INFO:root:[0][157/2187] Loss_D: 0.0765 Loss_G: 5.1155 R1: 0.0118 R2: 0.0052 w_avg: [ 0.1755, 0.1068, 0.1235, ..., -0.0113, 0.0071, 0.0328]
INFO:root:[0][158/2187] Loss_D: 0.0848 Loss_G: 4.3194 R1: 0.0110 R2: 0.0052 w_avg: [ 0.1765, 0.1076, 0.1244, ..., -0.0111, 0.0068, 0.0331]
INFO:root:[0][159/2187] Loss_D: 0.0776 Loss_G: 3.9483 R1: 0.0118 R2: 0.0037 w_avg: [ 0.1772, 0.1084, 0.1251, ..., -0.0111, 0.0065, 0.0328]
INFO:root:[0][160/2187] Loss_D: 0.1690 Loss_G: 6.1656 R1: 0.0125 R2: 0.0050 w_avg: [ 0.1783, 0.1085, 0.1261, ..., -0.0114, 0.0064, 0.0327]
INFO:root:[0][161/2187] Loss_D: 0.0476 Loss_G: 4.2554 R1: 0.0115 R2: 0.0037 w_avg: [ 0.1799, 0.1091, 0.1271, ..., -0.0113, 0.0066, 0.0332]
INFO:root:[0][162/2187] Loss_D: 0.1759 Loss_G: 5.1733 R1: 0.0130 R2: 0.0075 w_avg: [ 0.1811, 0.1102, 0.1281, ..., -0.0114, 0.0067, 0.0334]
INFO:root:[0][163/2187] Loss_D: 0.0596 Loss_G: 4.7768 R1: 0.0113 R2: 0.0055 w_avg: [ 0.1817, 0.1108, 0.1282, ..., -0.0115, 0.0065, 0.0338]
INFO:root:[0][164/2187] Loss_D: 0.0578 Loss_G: 5.0302 R1: 0.0115 R2: 0.0060 w_avg: [ 0.1828, 0.1112, 0.1290, ..., -0.0118, 0.0067, 0.0336]
INFO:root:[0][165/2187] Loss_D: 0.0925 Loss_G: 4.4351 R1: 0.0126 R2: 0.0054 w_avg: [ 0.1836, 0.1115, 0.1294, ..., -0.0118, 0.0072, 0.0342]
INFO:root:[0][166/2187] Loss_D: 0.1324 Loss_G: 5.2491 R1: 0.0117 R2: 0.0071 w_avg: [ 0.1843, 0.1117, 0.1302, ..., -0.0121, 0.0071, 0.0338]
INFO:root:[0][167/2187] Loss_D: 0.0671 Loss_G: 5.2011 R1: 0.0101 R2: 0.0053 w_avg: [ 0.1857, 0.1120, 0.1315, ..., -0.0118, 0.0070, 0.0341]
INFO:root:[0][168/2187] Loss_D: 0.2382 Loss_G: 7.6414 R1: 0.0107 R2: 0.0052 w_avg: [ 0.1867, 0.1118, 0.1319, ..., -0.0118, 0.0069, 0.0342]
INFO:root:[0][169/2187] Loss_D: 0.0540 Loss_G: 3.4416 R1: 0.0119 R2: 0.0078 w_avg: [ 0.1879, 0.1122, 0.1328, ..., -0.0117, 0.0069, 0.0343]
INFO:root:[0][170/2187] Loss_D: 0.3541 Loss_G: 6.7844 R1: 0.0106 R2: 0.0081 w_avg: [ 0.1893, 0.1134, 0.1335, ..., -0.0120, 0.0071, 0.0344]
INFO:root:[0][171/2187] Loss_D: 0.3150 Loss_G: 6.5009 R1: 0.0166 R2: 0.0077 w_avg: [ 0.1909, 0.1147, 0.1347, ..., -0.0116, 0.0074, 0.0344]
INFO:root:[0][172/2187] Loss_D: 0.0852 Loss_G: 4.4716 R1: 0.0115 R2: 0.0038 w_avg: [ 0.1922, 0.1151, 0.1354, ..., -0.0119, 0.0075, 0.0344]
INFO:root:[0][173/2187] Loss_D: 0.0638 Loss_G: 4.2758 R1: 0.0080 R2: 0.0032 w_avg: [ 0.1934, 0.1162, 0.1360, ..., -0.0117, 0.0074, 0.0342]
INFO:root:[0][174/2187] Loss_D: 0.0450 Loss_G: 5.0751 R1: 0.0085 R2: 0.0043 w_avg: [ 0.1940, 0.1164, 0.1365, ..., -0.0115, 0.0072, 0.0342]
INFO:root:[0][175/2187] Loss_D: 0.0564 Loss_G: 4.9603 R1: 0.0094 R2: 0.0083 w_avg: [ 0.1955, 0.1170, 0.1372, ..., -0.0117, 0.0072, 0.0344]
INFO:root:[0][176/2187] Loss_D: 0.0759 Loss_G: 3.4051 R1: 0.0093 R2: 0.0062 w_avg: [ 0.1959, 0.1173, 0.1378, ..., -0.0118, 0.0072, 0.0346]
INFO:root:[0][177/2187] Loss_D: 0.1279 Loss_G: 4.8390 R1: 0.0088 R2: 0.0055 w_avg: [ 0.1968, 0.1177, 0.1380, ..., -0.0119, 0.0071, 0.0347]
INFO:root:[0][178/2187] Loss_D: 0.0669 Loss_G: 7.1109 R1: 0.0107 R2: 0.0061 w_avg: [ 0.1976, 0.1187, 0.1393, ..., -0.0118, 0.0067, 0.0351]
INFO:root:[0][179/2187] Loss_D: 0.0694 Loss_G: 5.1857 R1: 0.0130 R2: 0.0081 w_avg: [ 0.1982, 0.1198, 0.1392, ..., -0.0115, 0.0066, 0.0357]
INFO:root:[0][180/2187] Loss_D: 0.0608 Loss_G: 6.6160 R1: 0.0096 R2: 0.0082 w_avg: [ 0.1996, 0.1202, 0.1397, ..., -0.0115, 0.0068, 0.0364]
INFO:root:[0][181/2187] Loss_D: 0.0701 Loss_G: 5.5953 R1: 0.0111 R2: 0.0091 w_avg: [ 0.2000, 0.1204, 0.1398, ..., -0.0115, 0.0070, 0.0366]
INFO:root:[0][182/2187] Loss_D: 0.0479 Loss_G: 7.2614 R1: 0.0107 R2: 0.0114 w_avg: [ 0.2010, 0.1214, 0.1406, ..., -0.0117, 0.0069, 0.0368]
INFO:root:[0][183/2187] Loss_D: 0.1089 Loss_G: 5.2895 R1: 0.0122 R2: 0.0076 w_avg: [ 0.2026, 0.1227, 0.1413, ..., -0.0116, 0.0066, 0.0371]
INFO:root:[0][184/2187] Loss_D: 0.0622 Loss_G: 7.4904 R1: 0.0106 R2: 0.0098 w_avg: [ 0.2030, 0.1230, 0.1416, ..., -0.0119, 0.0064, 0.0380]
INFO:root:[0][185/2187] Loss_D: 0.1797 Loss_G: 5.7314 R1: 0.0090 R2: 0.0141 w_avg: [ 0.2032, 0.1236, 0.1421, ..., -0.0119, 0.0062, 0.0387]
INFO:root:[0][186/2187] Loss_D: 0.0615 Loss_G: 6.7931 R1: 0.0132 R2: 0.0130 w_avg: [ 0.2046, 0.1247, 0.1431, ..., -0.0119, 0.0062, 0.0392]
INFO:root:[0][187/2187] Loss_D: 0.0558 Loss_G: 5.1546 R1: 0.0124 R2: 0.0103 w_avg: [ 0.2048, 0.1252, 0.1437, ..., -0.0120, 0.0059, 0.0393]
INFO:root:[0][188/2187] Loss_D: 0.0962 Loss_G: 6.2360 R1: 0.0126 R2: 0.0089 w_avg: [ 0.2059, 0.1258, 0.1449, ..., -0.0121, 0.0059, 0.0393]
INFO:root:[0][189/2187] Loss_D: 0.0517 Loss_G: 6.3926 R1: 0.0126 R2: 0.0065 w_avg: [ 0.2064, 0.1263, 0.1454, ..., -0.0123, 0.0061, 0.0392]
INFO:root:[0][190/2187] Loss_D: 0.0820 Loss_G: 5.5094 R1: 0.0142 R2: 0.0086 w_avg: [ 0.2068, 0.1266, 0.1451, ..., -0.0125, 0.0062, 0.0393]
INFO:root:[0][191/2187] Loss_D: 0.0518 Loss_G: 5.9983 R1: 0.0118 R2: 0.0083 w_avg: [ 0.2066, 0.1268, 0.1450, ..., -0.0127, 0.0065, 0.0395]
INFO:root:[0][192/2187] Loss_D: 0.0464 Loss_G: 4.7010 R1: 0.0104 R2: 0.0099 w_avg: [ 0.2071, 0.1272, 0.1449, ..., -0.0124, 0.0064, 0.0394]
INFO:root:[0][193/2187] Loss_D: 0.1237 Loss_G: 4.9472 R1: 0.0122 R2: 0.0090 w_avg: [ 0.2074, 0.1269, 0.1452, ..., -0.0126, 0.0063, 0.0392]
INFO:root:[0][194/2187] Loss_D: 0.2100 Loss_G: 6.0348 R1: 0.0123 R2: 0.0123 w_avg: [ 0.2087, 0.1276, 0.1455, ..., -0.0125, 0.0060, 0.0399]
INFO:root:[0][195/2187] Loss_D: 0.1318 Loss_G: 4.9236 R1: 0.0144 R2: 0.0082 w_avg: [ 0.2100, 0.1276, 0.1471, ..., -0.0124, 0.0058, 0.0403]
INFO:root:[0][196/2187] Loss_D: 0.0722 Loss_G: 3.5923 R1: 0.0110 R2: 0.0087 w_avg: [ 0.2106, 0.1276, 0.1475, ..., -0.0127, 0.0063, 0.0405]
INFO:root:[0][197/2187] Loss_D: 0.0717 Loss_G: 5.3294 R1: 0.0128 R2: 0.0089 w_avg: [ 0.2112, 0.1281, 0.1473, ..., -0.0126, 0.0064, 0.0409]
INFO:root:[0][198/2187] Loss_D: 0.1679 Loss_G: 4.4455 R1: 0.0112 R2: 0.0105 w_avg: [ 0.2117, 0.1284, 0.1478, ..., -0.0128, 0.0062, 0.0417]
INFO:root:[0][199/2187] Loss_D: 0.2139 Loss_G: 6.1940 R1: 0.0099 R2: 0.0108 w_avg: [ 0.2126, 0.1295, 0.1481, ..., -0.0126, 0.0061, 0.0421]
INFO:root:[0][200/2187] Loss_D: 0.0714 Loss_G: 5.6929 R1: 0.0119 R2: 0.0078 w_avg: [ 0.2129, 0.1294, 0.1482, ..., -0.0128, 0.0061, 0.0421]
INFO:root:[0][201/2187] Loss_D: 0.0592 Loss_G: 4.5975 R1: 0.0103 R2: 0.0075 w_avg: [ 0.2152, 0.1303, 0.1496, ..., -0.0125, 0.0059, 0.0424]
INFO:root:[0][202/2187] Loss_D: 0.0909 Loss_G: 6.1168 R1: 0.0095 R2: 0.0088 w_avg: [ 0.2160, 0.1302, 0.1495, ..., -0.0127, 0.0060, 0.0428]
INFO:root:[0][203/2187] Loss_D: 0.0814 Loss_G: 5.5468 R1: 0.0098 R2: 0.0122 w_avg: [ 0.2163, 0.1307, 0.1497, ..., -0.0129, 0.0062, 0.0430]
INFO:root:[0][204/2187] Loss_D: 0.0952 Loss_G: 6.4714 R1: 0.0102 R2: 0.0079 w_avg: [ 0.2168, 0.1306, 0.1501, ..., -0.0127, 0.0069, 0.0429]
INFO:root:[0][205/2187] Loss_D: 0.0798 Loss_G: 4.3699 R1: 0.0101 R2: 0.0097 w_avg: [ 0.2168, 0.1317, 0.1510, ..., -0.0130, 0.0071, 0.0430]
INFO:root:[0][206/2187] Loss_D: 0.0730 Loss_G: 6.4146 R1: 0.0107 R2: 0.0100 w_avg: [ 0.2175, 0.1324, 0.1517, ..., -0.0132, 0.0072, 0.0434]
INFO:root:[0][207/2187] Loss_D: 0.1006 Loss_G: 4.8753 R1: 0.0097 R2: 0.0092 w_avg: [ 0.2187, 0.1329, 0.1518, ..., -0.0132, 0.0075, 0.0442]
INFO:root:[0][208/2187] Loss_D: 0.1570 Loss_G: 6.2287 R1: 0.0115 R2: 0.0112 w_avg: [ 0.2198, 0.1331, 0.1524, ..., -0.0132, 0.0071, 0.0442]
INFO:root:[0][209/2187] Loss_D: 0.0605 Loss_G: 4.8941 R1: 0.0098 R2: 0.0119 w_avg: [ 0.2201, 0.1336, 0.1526, ..., -0.0134, 0.0073, 0.0445]
INFO:root:[0][210/2187] Loss_D: 0.1605 Loss_G: 5.1824 R1: 0.0095 R2: 0.0118 w_avg: [ 0.2214, 0.1338, 0.1529, ..., -0.0134, 0.0078, 0.0450]
INFO:root:[0][211/2187] Loss_D: 0.3674 Loss_G: 4.5671 R1: 0.0133 R2: 0.0083 w_avg: [ 0.2225, 0.1343, 0.1530, ..., -0.0134, 0.0078, 0.0452]
INFO:root:[0][212/2187] Loss_D: 0.0724 Loss_G: 4.8657 R1: 0.0071 R2: 0.0081 w_avg: [ 0.2229, 0.1341, 0.1535, ..., -0.0135, 0.0079, 0.0455]
INFO:root:[0][213/2187] Loss_D: 0.0471 Loss_G: 3.5217 R1: 0.0091 R2: 0.0077 w_avg: [ 0.2236, 0.1344, 0.1537, ..., -0.0133, 0.0078, 0.0455]
INFO:root:[0][214/2187] Loss_D: 0.1080 Loss_G: 4.8499 R1: 0.0080 R2: 0.0086 w_avg: [ 0.2248, 0.1347, 0.1543, ..., -0.0136, 0.0078, 0.0456]
INFO:root:[0][215/2187] Loss_D: 0.2417 Loss_G: 3.9645 R1: 0.0097 R2: 0.0104 w_avg: [ 0.2256, 0.1351, 0.1545, ..., -0.0134, 0.0080, 0.0457]
INFO:root:[0][216/2187] Loss_D: 0.0929 Loss_G: 3.5452 R1: 0.0116 R2: 0.0085 w_avg: [ 0.2266, 0.1357, 0.1546, ..., -0.0131, 0.0080, 0.0460]
INFO:root:[0][217/2187] Loss_D: 0.3707 Loss_G: 4.1868 R1: 0.0089 R2: 0.0105 w_avg: [ 0.2272, 0.1361, 0.1549, ..., -0.0134, 0.0081, 0.0462]
INFO:root:[0][218/2187] Loss_D: 0.4349 Loss_G: 4.0117 R1: 0.0123 R2: 0.0126 w_avg: [ 0.2280, 0.1362, 0.1561, ..., -0.0137, 0.0083, 0.0467]
INFO:root:[0][219/2187] Loss_D: 0.1361 Loss_G: 5.5170 R1: 0.0120 R2: 0.0109 w_avg: [ 0.2287, 0.1366, 0.1564, ..., -0.0136, 0.0082, 0.0467]
INFO:root:[0][220/2187] Loss_D: 0.0730 Loss_G: 4.6646 R1: 0.0102 R2: 0.0108 w_avg: [ 0.2287, 0.1370, 0.1566, ..., -0.0138, 0.0082, 0.0466]
INFO:root:[0][221/2187] Loss_D: 0.0503 Loss_G: 4.6026 R1: 0.0102 R2: 0.0077 w_avg: [ 0.2292, 0.1376, 0.1573, ..., -0.0136, 0.0079, 0.0464]
INFO:root:[0][222/2187] Loss_D: 0.1420 Loss_G: 4.3450 R1: 0.0109 R2: 0.0113 w_avg: [ 0.2302, 0.1385, 0.1583, ..., -0.0135, 0.0080, 0.0465]
INFO:root:[0][223/2187] Loss_D: 0.1994 Loss_G: 3.3522 R1: 0.0095 R2: 0.0073 w_avg: [ 0.2311, 0.1388, 0.1588, ..., -0.0136, 0.0079, 0.0469]
INFO:root:[0][224/2187] Loss_D: 0.4102 Loss_G: 4.7018 R1: 0.0103 R2: 0.0126 w_avg: [ 0.2321, 0.1392, 0.1599, ..., -0.0137, 0.0080, 0.0466]
INFO:root:[0][225/2187] Loss_D: 0.0733 Loss_G: 6.6051 R1: 0.0090 R2: 0.0042 w_avg: [ 0.2339, 0.1399, 0.1609, ..., -0.0140, 0.0079, 0.0468]
INFO:root:[0][226/2187] Loss_D: 0.1729 Loss_G: 3.4337 R1: 0.0100 R2: 0.0064 w_avg: [ 0.2349, 0.1406, 0.1610, ..., -0.0141, 0.0079, 0.0467]
INFO:root:[0][227/2187] Loss_D: 0.1135 Loss_G: 3.4036 R1: 0.0073 R2: 0.0045 w_avg: [ 0.2358, 0.1416, 0.1610, ..., -0.0139, 0.0077, 0.0478]
INFO:root:[0][228/2187] Loss_D: 0.1984 Loss_G: 4.8909 R1: 0.0084 R2: 0.0071 w_avg: [ 0.2375, 0.1415, 0.1613, ..., -0.0139, 0.0079, 0.0474]
INFO:root:[0][229/2187] Loss_D: 0.0591 Loss_G: 4.5369 R1: 0.0093 R2: 0.0054 w_avg: [ 0.2386, 0.1416, 0.1619, ..., -0.0143, 0.0078, 0.0477]
INFO:root:[0][230/2187] Loss_D: 0.0725 Loss_G: 4.1431 R1: 0.0091 R2: 0.0098 w_avg: [ 0.2394, 0.1418, 0.1622, ..., -0.0139, 0.0078, 0.0477]
INFO:root:[0][231/2187] Loss_D: 0.4833 Loss_G: 5.1577 R1: 0.0102 R2: 0.0073 w_avg: [ 0.2401, 0.1422, 0.1630, ..., -0.0142, 0.0080, 0.0477]
INFO:root:[0][232/2187] Loss_D: 0.1536 Loss_G: 6.2249 R1: 0.0088 R2: 0.0190 w_avg: [ 0.2416, 0.1429, 0.1641, ..., -0.0143, 0.0079, 0.0483]
INFO:root:[0][233/2187] Loss_D: 0.4805 Loss_G: 3.5990 R1: 0.0230 R2: 0.0084 w_avg: [ 0.2418, 0.1440, 0.1647, ..., -0.0142, 0.0078, 0.0488]
INFO:root:[0][234/2187] Loss_D: 0.0494 Loss_G: 4.9361 R1: 0.0074 R2: 0.0058 w_avg: [ 0.2416, 0.1444, 0.1653, ..., -0.0143, 0.0078, 0.0490]
INFO:root:[0][235/2187] Loss_D: 0.1638 Loss_G: 4.8141 R1: 0.0072 R2: 0.0060 w_avg: [ 0.2416, 0.1450, 0.1652, ..., -0.0144, 0.0077, 0.0495]
INFO:root:[0][236/2187] Loss_D: 0.0724 Loss_G: 4.0903 R1: 0.0069 R2: 0.0039 w_avg: [ 0.2427, 0.1454, 0.1655, ..., -0.0145, 0.0078, 0.0498]
INFO:root:[0][237/2187] Loss_D: 0.0483 Loss_G: 3.7566 R1: 0.0079 R2: 0.0038 w_avg: [ 0.2440, 0.1458, 0.1666, ..., -0.0143, 0.0078, 0.0498]
INFO:root:[0][238/2187] Loss_D: 0.1435 Loss_G: 3.2445 R1: 0.0091 R2: 0.0043 w_avg: [ 0.2438, 0.1461, 0.1663, ..., -0.0146, 0.0076, 0.0501]
INFO:root:[0][239/2187] Loss_D: 0.1344 Loss_G: 4.3302 R1: 0.0086 R2: 0.0057 w_avg: [ 0.2442, 0.1462, 0.1669, ..., -0.0148, 0.0081, 0.0506]
INFO:root:[0][240/2187] Loss_D: 0.0779 Loss_G: 3.9003 R1: 0.0066 R2: 0.0045 w_avg: [ 0.2459, 0.1470, 0.1671, ..., -0.0151, 0.0079, 0.0511]
INFO:root:[0][241/2187] Loss_D: 0.1445 Loss_G: 4.9137 R1: 0.0092 R2: 0.0067 w_avg: [ 0.2473, 0.1470, 0.1674, ..., -0.0150, 0.0076, 0.0512]
INFO:root:[0][242/2187] Loss_D: 0.2722 Loss_G: 5.6639 R1: 0.0083 R2: 0.0031 w_avg: [ 0.2479, 0.1482, 0.1681, ..., -0.0151, 0.0077, 0.0511]
INFO:root:[0][243/2187] Loss_D: 0.0506 Loss_G: 5.9272 R1: 0.0092 R2: 0.0066 w_avg: [ 0.2487, 0.1491, 0.1685, ..., -0.0153, 0.0076, 0.0512]
INFO:root:[0][244/2187] Loss_D: 0.0396 Loss_G: 5.5586 R1: 0.0089 R2: 0.0051 w_avg: [ 0.2489, 0.1493, 0.1696, ..., -0.0156, 0.0080, 0.0511]
INFO:root:[0][245/2187] Loss_D: 0.0368 Loss_G: 4.9110 R1: 0.0115 R2: 0.0037 w_avg: [ 0.2500, 0.1498, 0.1697, ..., -0.0159, 0.0083, 0.0511]
INFO:root:[0][246/2187] Loss_D: 0.0561 Loss_G: 4.8969 R1: 0.0094 R2: 0.0038 w_avg: [ 0.2508, 0.1501, 0.1704, ..., -0.0158, 0.0082, 0.0516]
INFO:root:[0][247/2187] Loss_D: 0.0666 Loss_G: 4.6100 R1: 0.0103 R2: 0.0037 w_avg: [ 0.2520, 0.1507, 0.1717, ..., -0.0161, 0.0082, 0.0518]
INFO:root:[0][248/2187] Loss_D: 0.0671 Loss_G: 5.7632 R1: 0.0095 R2: 0.0039 w_avg: [ 0.2527, 0.1511, 0.1727, ..., -0.0161, 0.0080, 0.0518]
INFO:root:[0][249/2187] Loss_D: 0.0464 Loss_G: 4.6898 R1: 0.0098 R2: 0.0057 w_avg: [ 0.2533, 0.1517, 0.1733, ..., -0.0163, 0.0081, 0.0518]
INFO:root:[0][250/2187] Loss_D: 0.0756 Loss_G: 5.4632 R1: 0.0098 R2: 0.0052 w_avg: [ 0.2536, 0.1525, 0.1739, ..., -0.0164, 0.0081, 0.0519]
INFO:root:[0][251/2187] Loss_D: 0.1397 Loss_G: 5.1691 R1: 0.0083 R2: 0.0076 w_avg: [ 0.2549, 0.1530, 0.1739, ..., -0.0164, 0.0082, 0.0519]
INFO:root:[0][252/2187] Loss_D: 0.3984 Loss_G: 6.7950 R1: 0.0087 R2: 0.0085 w_avg: [ 0.2562, 0.1533, 0.1749, ..., -0.0166, 0.0084, 0.0519]
INFO:root:[0][253/2187] Loss_D: 0.0341 Loss_G: 4.3190 R1: 0.0113 R2: 0.0039 w_avg: [ 0.2574, 0.1540, 0.1766, ..., -0.0168, 0.0082, 0.0521]
INFO:root:[0][254/2187] Loss_D: 0.0711 Loss_G: 4.3726 R1: 0.0081 R2: 0.0040 w_avg: [ 0.2579, 0.1548, 0.1774, ..., -0.0169, 0.0080, 0.0525]
INFO:root:[0][255/2187] Loss_D: 0.5053 Loss_G: 5.0314 R1: 0.0073 R2: 0.0037 w_avg: [ 0.2593, 0.1553, 0.1777, ..., -0.0170, 0.0094, 0.0530]
INFO:root:[0][256/2187] Loss_D: 0.0906 Loss_G: 5.6473 R1: 0.0077 R2: 0.0030 w_avg: [ 0.2597, 0.1556, 0.1784, ..., -0.0172, 0.0095, 0.0532]
INFO:root:[0][257/2187] Loss_D: 0.2596 Loss_G: 5.4743 R1: 0.0081 R2: 0.0033 w_avg: [ 0.2608, 0.1560, 0.1785, ..., -0.0171, 0.0095, 0.0535]
INFO:root:[0][258/2187] Loss_D: 0.0486 Loss_G: 5.9684 R1: 0.0074 R2: 0.0038 w_avg: [ 0.2626, 0.1565, 0.1795, ..., -0.0170, 0.0094, 0.0536]
INFO:root:[0][259/2187] Loss_D: 0.1356 Loss_G: 5.0050 R1: 0.0087 R2: 0.0048 w_avg: [ 0.2632, 0.1574, 0.1797, ..., -0.0171, 0.0094, 0.0544]
INFO:root:[0][260/2187] Loss_D: 0.1117 Loss_G: 4.2721 R1: 0.0089 R2: 0.0047 w_avg: [ 0.2636, 0.1577, 0.1802, ..., -0.0174, 0.0091, 0.0540]
INFO:root:[0][261/2187] Loss_D: 0.0543 Loss_G: 4.9862 R1: 0.0091 R2: 0.0078 w_avg: [ 0.2648, 0.1584, 0.1809, ..., -0.0176, 0.0093, 0.0539]
INFO:root:[0][262/2187] Loss_D: 0.4018 Loss_G: 6.0094 R1: 0.0081 R2: 0.0067 w_avg: [ 0.2657, 0.1587, 0.1813, ..., -0.0177, 0.0091, 0.0540]
INFO:root:[0][263/2187] Loss_D: 0.2032 Loss_G: 4.6837 R1: 0.0069 R2: 0.0092 w_avg: [ 0.2666, 0.1597, 0.1821, ..., -0.0178, 0.0088, 0.0539]
INFO:root:[0][264/2187] Loss_D: 0.1274 Loss_G: 4.2120 R1: 0.0086 R2: 0.0085 w_avg: [ 0.2670, 0.1605, 0.1823, ..., -0.0178, 0.0087, 0.0541]
INFO:root:[0][265/2187] Loss_D: 0.1537 Loss_G: 3.7232 R1: 0.0082 R2: 0.0077 w_avg: [ 0.2679, 0.1612, 0.1828, ..., -0.0179, 0.0090, 0.0541]
INFO:root:[0][266/2187] Loss_D: 0.1439 Loss_G: 3.5506 R1: 0.0085 R2: 0.0082 w_avg: [ 0.2690, 0.1611, 0.1837, ..., -0.0178, 0.0094, 0.0539]
INFO:root:[0][267/2187] Loss_D: 0.1647 Loss_G: 4.1510 R1: 0.0087 R2: 0.0076 w_avg: [ 0.2691, 0.1613, 0.1832, ..., -0.0180, 0.0093, 0.0542]
INFO:root:[0][268/2187] Loss_D: 0.1067 Loss_G: 4.2519 R1: 0.0084 R2: 0.0088 w_avg: [ 0.2694, 0.1619, 0.1839, ..., -0.0184, 0.0097, 0.0540]
INFO:root:[0][269/2187] Loss_D: 0.0679 Loss_G: 4.9938 R1: 0.0095 R2: 0.0077 w_avg: [ 0.2700, 0.1626, 0.1841, ..., -0.0182, 0.0099, 0.0547]
INFO:root:[0][270/2187] Loss_D: 0.1476 Loss_G: 5.8768 R1: 0.0089 R2: 0.0100 w_avg: [ 0.2703, 0.1631, 0.1850, ..., -0.0183, 0.0102, 0.0550]
INFO:root:[0][271/2187] Loss_D: 0.1059 Loss_G: 4.7316 R1: 0.0094 R2: 0.0102 w_avg: [ 0.2709, 0.1636, 0.1853, ..., -0.0182, 0.0100, 0.0554]
INFO:root:[0][272/2187] Loss_D: 0.1051 Loss_G: 5.4325 R1: 0.0095 R2: 0.0112 w_avg: [ 0.2720, 0.1650, 0.1864, ..., -0.0179, 0.0099, 0.0558]
INFO:root:[0][273/2187] Loss_D: 0.0611 Loss_G: 4.6414 R1: 0.0099 R2: 0.0109 w_avg: [ 0.2726, 0.1653, 0.1873, ..., -0.0181, 0.0102, 0.0559]
INFO:root:[0][274/2187] Loss_D: 0.0463 Loss_G: 4.9808 R1: 0.0101 R2: 0.0105 w_avg: [ 0.2726, 0.1660, 0.1869, ..., -0.0182, 0.0100, 0.0558]
INFO:root:[0][275/2187] Loss_D: 0.0809 Loss_G: 5.1860 R1: 0.0111 R2: 0.0093 w_avg: [ 0.2736, 0.1662, 0.1874, ..., -0.0181, 0.0104, 0.0562]
INFO:root:[0][276/2187] Loss_D: 0.0540 Loss_G: 4.3138 R1: 0.0110 R2: 0.0095 w_avg: [ 0.2744, 0.1673, 0.1879, ..., -0.0182, 0.0104, 0.0562]
INFO:root:[0][277/2187] Loss_D: 0.0703 Loss_G: 4.6344 R1: 0.0112 R2: 0.0118 w_avg: [ 0.2751, 0.1682, 0.1893, ..., -0.0180, 0.0103, 0.0565]
INFO:root:[0][278/2187] Loss_D: 0.1230 Loss_G: 5.0199 R1: 0.0097 R2: 0.0126 w_avg: [ 0.2752, 0.1689, 0.1903, ..., -0.0179, 0.0103, 0.0566]
INFO:root:[0][279/2187] Loss_D: 0.0528 Loss_G: 4.3607 R1: 0.0087 R2: 0.0134 w_avg: [ 0.2758, 0.1689, 0.1907, ..., -0.0180, 0.0108, 0.0566]
INFO:root:[0][280/2187] Loss_D: 0.1614 Loss_G: 4.8358 R1: 0.0106 R2: 0.0108 w_avg: [ 0.2761, 0.1691, 0.1910, ..., -0.0181, 0.0106, 0.0565]
INFO:root:[0][281/2187] Loss_D: 0.4472 Loss_G: 7.2819 R1: 0.0094 R2: 0.0122 w_avg: [ 0.2770, 0.1695, 0.1914, ..., -0.0184, 0.0108, 0.0570]
INFO:root:[0][282/2187] Loss_D: 0.0651 Loss_G: 3.8976 R1: 0.0105 R2: 0.0095 w_avg: [ 0.2779, 0.1708, 0.1921, ..., -0.0181, 0.0109, 0.0577]
INFO:root:[0][283/2187] Loss_D: 0.2285 Loss_G: 3.6953 R1: 0.0111 R2: 0.0087 w_avg: [ 0.2783, 0.1710, 0.1933, ..., -0.0184, 0.0110, 0.0582]
INFO:root:[0][284/2187] Loss_D: 0.1196 Loss_G: 3.5943 R1: 0.0103 R2: 0.0089 w_avg: [ 0.2790, 0.1710, 0.1946, ..., -0.0184, 0.0113, 0.0588]
INFO:root:[0][285/2187] Loss_D: 0.1313 Loss_G: 4.4971 R1: 0.0107 R2: 0.0097 w_avg: [ 0.2804, 0.1711, 0.1951, ..., -0.0185, 0.0112, 0.0587]
INFO:root:[0][286/2187] Loss_D: 0.0803 Loss_G: 3.5213 R1: 0.0099 R2: 0.0098 w_avg: [ 0.2815, 0.1718, 0.1962, ..., -0.0186, 0.0108, 0.0584]
INFO:root:[0][287/2187] Loss_D: 0.0698 Loss_G: 2.9538 R1: 0.0098 R2: 0.0091 w_avg: [ 0.2817, 0.1720, 0.1961, ..., -0.0186, 0.0108, 0.0589]
INFO:root:[0][288/2187] Loss_D: 0.0934 Loss_G: 4.3540 R1: 0.0097 R2: 0.0107 w_avg: [ 0.2826, 0.1723, 0.1964, ..., -0.0188, 0.0108, 0.0590]
INFO:root:[0][289/2187] Loss_D: 0.0438 Loss_G: 6.2175 R1: 0.0099 R2: 0.0128 w_avg: [ 0.2840, 0.1721, 0.1970, ..., -0.0190, 0.0113, 0.0588]
INFO:root:[0][290/2187] Loss_D: 0.0606 Loss_G: 4.6833 R1: 0.0092 R2: 0.0089 w_avg: [ 0.2847, 0.1727, 0.1978, ..., -0.0191, 0.0111, 0.0598]
INFO:root:[0][291/2187] Loss_D: 0.0517 Loss_G: 3.6284 R1: 0.0093 R2: 0.0094 w_avg: [ 0.2853, 0.1729, 0.1982, ..., -0.0189, 0.0110, 0.0604]
INFO:root:[0][292/2187] Loss_D: 0.0444 Loss_G: 5.3189 R1: 0.0088 R2: 0.0083 w_avg: [ 0.2864, 0.1740, 0.1985, ..., -0.0191, 0.0108, 0.0604]
INFO:root:[0][293/2187] Loss_D: 0.0651 Loss_G: 4.1964 R1: 0.0098 R2: 0.0089 w_avg: [ 0.2871, 0.1745, 0.1989, ..., -0.0191, 0.0106, 0.0603]
INFO:root:[0][294/2187] Loss_D: 0.1067 Loss_G: 4.7052 R1: 0.0099 R2: 0.0088 w_avg: [ 0.2875, 0.1751, 0.1987, ..., -0.0192, 0.0106, 0.0604]
INFO:root:[0][295/2187] Loss_D: 0.1125 Loss_G: 4.7850 R1: 0.0105 R2: 0.0083 w_avg: [ 0.2887, 0.1752, 0.1988, ..., -0.0189, 0.0106, 0.0606]
INFO:root:[0][296/2187] Loss_D: 0.0774 Loss_G: 4.4471 R1: 0.0094 R2: 0.0070 w_avg: [ 0.2894, 0.1756, 0.2000, ..., -0.0190, 0.0103, 0.0608]
INFO:root:[0][297/2187] Loss_D: 0.1172 Loss_G: 5.1057 R1: 0.0105 R2: 0.0076 w_avg: [ 0.2902, 0.1763, 0.2012, ..., -0.0190, 0.0101, 0.0609]
INFO:root:[0][298/2187] Loss_D: 0.0387 Loss_G: 5.3178 R1: 0.0118 R2: 0.0077 w_avg: [ 0.2909, 0.1770, 0.2014, ..., -0.0186, 0.0098, 0.0612]
INFO:root:[0][299/2187] Loss_D: 0.0544 Loss_G: 6.1200 R1: 0.0131 R2: 0.0079 w_avg: [ 0.2916, 0.1772, 0.2019, ..., -0.0187, 0.0099, 0.0614]
INFO:root:[0][300/2187] Loss_D: 0.0277 Loss_G: 4.7085 R1: 0.0093 R2: 0.0067 w_avg: [ 0.2927, 0.1778, 0.2022, ..., -0.0185, 0.0099, 0.0622]
INFO:root:[0][301/2187] Loss_D: 0.0350 Loss_G: 5.2308 R1: 0.0111 R2: 0.0064 w_avg: [ 0.2937, 0.1789, 0.2021, ..., -0.0183, 0.0099, 0.0628]
INFO:root:[0][302/2187] Loss_D: 0.0318 Loss_G: 5.5444 R1: 0.0107 R2: 0.0061 w_avg: [ 0.2948, 0.1793, 0.2030, ..., -0.0184, 0.0102, 0.0625]
INFO:root:[0][303/2187] Loss_D: 0.0613 Loss_G: 4.3679 R1: 0.0090 R2: 0.0058 w_avg: [ 0.2958, 0.1795, 0.2035, ..., -0.0183, 0.0103, 0.0624]
INFO:root:[0][304/2187] Loss_D: 0.1246 Loss_G: 4.8781 R1: 0.0118 R2: 0.0078 w_avg: [ 0.2967, 0.1805, 0.2042, ..., -0.0185, 0.0106, 0.0625]
INFO:root:[0][305/2187] Loss_D: 0.0629 Loss_G: 4.2414 R1: 0.0111 R2: 0.0058 w_avg: [ 0.2964, 0.1807, 0.2041, ..., -0.0182, 0.0105, 0.0627]
INFO:root:[0][306/2187] Loss_D: 0.1787 Loss_G: 5.4539 R1: 0.0114 R2: 0.0070 w_avg: [ 0.2969, 0.1815, 0.2050, ..., -0.0184, 0.0106, 0.0631]
INFO:root:[0][307/2187] Loss_D: 0.0677 Loss_G: 5.6823 R1: 0.0140 R2: 0.0049 w_avg: [ 0.2973, 0.1818, 0.2055, ..., -0.0186, 0.0106, 0.0634]
INFO:root:[0][308/2187] Loss_D: 0.0371 Loss_G: 6.8496 R1: 0.0117 R2: 0.0071 w_avg: [ 0.2983, 0.1819, 0.2058, ..., -0.0189, 0.0105, 0.0631]
INFO:root:[0][309/2187] Loss_D: 0.0532 Loss_G: 5.6260 R1: 0.0127 R2: 0.0058 w_avg: [ 0.2988, 0.1824, 0.2062, ..., -0.0187, 0.0104, 0.0636]
INFO:root:[0][310/2187] Loss_D: 0.0362 Loss_G: 5.9436 R1: 0.0120 R2: 0.0062 w_avg: [ 0.2996, 0.1829, 0.2069, ..., -0.0189, 0.0104, 0.0644]
INFO:root:[0][311/2187] Loss_D: 0.0525 Loss_G: 6.0346 R1: 0.0119 R2: 0.0077 w_avg: [ 0.2999, 0.1838, 0.2073, ..., -0.0188, 0.0102, 0.0651]
INFO:root:[0][312/2187] Loss_D: 0.0221 Loss_G: 6.7957 R1: 0.0113 R2: 0.0063 w_avg: [ 0.3001, 0.1845, 0.2075, ..., -0.0186, 0.0102, 0.0651]
INFO:root:[0][313/2187] Loss_D: 0.0399 Loss_G: 5.2162 R1: 0.0110 R2: 0.0079 w_avg: [ 0.3014, 0.1851, 0.2080, ..., -0.0186, 0.0105, 0.0659]
INFO:root:[0][314/2187] Loss_D: 0.0346 Loss_G: 4.5122 R1: 0.0132 R2: 0.0094 w_avg: [ 0.3022, 0.1853, 0.2079, ..., -0.0190, 0.0105, 0.0660]
INFO:root:[0][315/2187] Loss_D: 0.1068 Loss_G: 5.5314 R1: 0.0119 R2: 0.0091 w_avg: [ 0.3030, 0.1855, 0.2080, ..., -0.0193, 0.0105, 0.0662]
INFO:root:[0][316/2187] Loss_D: 0.1353 Loss_G: 8.4078 R1: 0.0126 R2: 0.0111 w_avg: [ 0.3031, 0.1861, 0.2081, ..., -0.0195, 0.0104, 0.0661]
INFO:root:[0][317/2187] Loss_D: 0.0724 Loss_G: 6.1008 R1: 0.0165 R2: 0.0099 w_avg: [ 0.3037, 0.1861, 0.2083, ..., -0.0196, 0.0102, 0.0666]
INFO:root:[0][318/2187] Loss_D: 0.0580 Loss_G: 5.3927 R1: 0.0149 R2: 0.0103 w_avg: [ 0.3047, 0.1868, 0.2092, ..., -0.0191, 0.0102, 0.0675]
INFO:root:[0][319/2187] Loss_D: 0.1629 Loss_G: 5.1948 R1: 0.0144 R2: 0.0139 w_avg: [ 0.3058, 0.1877, 0.2100, ..., -0.0191, 0.0100, 0.0674]
INFO:root:[0][320/2187] Loss_D: 0.0318 Loss_G: 5.0658 R1: 0.0115 R2: 0.0153 w_avg: [ 0.3068, 0.1879, 0.2102, ..., -0.0190, 0.0099, 0.0675]
INFO:root:[0][321/2187] Loss_D: 0.0679 Loss_G: 5.4806 R1: 0.0122 R2: 0.0135 w_avg: [ 0.3075, 0.1885, 0.2105, ..., -0.0191, 0.0103, 0.0681]
INFO:root:[0][322/2187] Loss_D: 0.0568 Loss_G: 5.0430 R1: 0.0135 R2: 0.0136 w_avg: [ 0.3087, 0.1889, 0.2112, ..., -0.0191, 0.0100, 0.0681]
INFO:root:[0][323/2187] Loss_D: 0.1120 Loss_G: 5.6941 R1: 0.0108 R2: 0.0169 w_avg: [ 0.3091, 0.1889, 0.2114, ..., -0.0191, 0.0102, 0.0682]
INFO:root:[0][324/2187] Loss_D: 0.0694 Loss_G: 4.5799 R1: 0.0112 R2: 0.0138 w_avg: [ 0.3096, 0.1898, 0.2116, ..., -0.0192, 0.0101, 0.0686]
INFO:root:[0][325/2187] Loss_D: 0.0745 Loss_G: 6.4693 R1: 0.0115 R2: 0.0119 w_avg: [ 0.3102, 0.1899, 0.2123, ..., -0.0192, 0.0101, 0.0685]
INFO:root:[0][326/2187] Loss_D: 0.1851 Loss_G: 5.3213 R1: 0.0153 R2: 0.0169 w_avg: [ 0.3118, 0.1904, 0.2132, ..., -0.0194, 0.0101, 0.0688]
INFO:root:[0][327/2187] Loss_D: 0.1517 Loss_G: 5.4960 R1: 0.0144 R2: 0.0086 w_avg: [ 0.3127, 0.1903, 0.2134, ..., -0.0190, 0.0102, 0.0691]
INFO:root:[0][328/2187] Loss_D: 0.0374 Loss_G: 4.4736 R1: 0.0136 R2: 0.0099 w_avg: [ 0.3136, 0.1902, 0.2143, ..., -0.0191, 0.0104, 0.0688]
INFO:root:[0][329/2187] Loss_D: 0.0320 Loss_G: 4.6816 R1: 0.0108 R2: 0.0100 w_avg: [ 0.3145, 0.1901, 0.2142, ..., -0.0188, 0.0104, 0.0700]
INFO:root:[0][330/2187] Loss_D: 0.0430 Loss_G: 4.9123 R1: 0.0126 R2: 0.0116 w_avg: [ 0.3147, 0.1909, 0.2144, ..., -0.0187, 0.0101, 0.0700]
INFO:root:[0][331/2187] Loss_D: 0.0439 Loss_G: 4.2118 R1: 0.0113 R2: 0.0125 w_avg: [ 0.3158, 0.1910, 0.2149, ..., -0.0184, 0.0098, 0.0702]
INFO:root:[0][332/2187] Loss_D: 0.1028 Loss_G: 4.1893 R1: 0.0122 R2: 0.0127 w_avg: [ 0.3155, 0.1915, 0.2154, ..., -0.0186, 0.0101, 0.0707]
INFO:root:[0][333/2187] Loss_D: 0.0460 Loss_G: 4.4758 R1: 0.0128 R2: 0.0111 w_avg: [ 0.3160, 0.1917, 0.2156, ..., -0.0185, 0.0101, 0.0704]
INFO:root:[0][334/2187] Loss_D: 0.0454 Loss_G: 3.2761 R1: 0.0125 R2: 0.0132 w_avg: [ 0.3161, 0.1923, 0.2157, ..., -0.0181, 0.0101, 0.0706]
INFO:root:[0][335/2187] Loss_D: 0.0544 Loss_G: 5.9537 R1: 0.0123 R2: 0.0089 w_avg: [ 0.3166, 0.1920, 0.2163, ..., -0.0180, 0.0101, 0.0707]
INFO:root:[0][336/2187] Loss_D: 0.0546 Loss_G: 6.0112 R1: 0.0121 R2: 0.0114 w_avg: [ 0.3184, 0.1926, 0.2166, ..., -0.0175, 0.0104, 0.0709]
INFO:root:[0][337/2187] Loss_D: 0.0407 Loss_G: 5.2988 R1: 0.0148 R2: 0.0090 w_avg: [ 0.3190, 0.1939, 0.2177, ..., -0.0177, 0.0103, 0.0708]
INFO:root:[0][338/2187] Loss_D: 0.0460 Loss_G: 5.1113 R1: 0.0119 R2: 0.0111 w_avg: [ 0.3190, 0.1941, 0.2182, ..., -0.0179, 0.0102, 0.0707]
INFO:root:[0][339/2187] Loss_D: 0.0370 Loss_G: 5.3302 R1: 0.0125 R2: 0.0127 w_avg: [ 0.3196, 0.1942, 0.2186, ..., -0.0177, 0.0099, 0.0710]
INFO:root:[0][340/2187] Loss_D: 0.1253 Loss_G: 5.8856 R1: 0.0134 R2: 0.0114 w_avg: [ 0.3202, 0.1952, 0.2193, ..., -0.0178, 0.0099, 0.0713]
INFO:root:[0][341/2187] Loss_D: 0.1050 Loss_G: 4.8797 R1: 0.0129 R2: 0.0097 w_avg: [ 0.3209, 0.1960, 0.2196, ..., -0.0175, 0.0098, 0.0715]
INFO:root:[0][342/2187] Loss_D: 0.0439 Loss_G: 4.9155 R1: 0.0136 R2: 0.0122 w_avg: [ 0.3213, 0.1960, 0.2195, ..., -0.0175, 0.0096, 0.0715]
INFO:root:[0][343/2187] Loss_D: 0.0572 Loss_G: 5.0059 R1: 0.0139 R2: 0.0113 w_avg: [ 0.3224, 0.1961, 0.2200, ..., -0.0177, 0.0101, 0.0712]
INFO:root:[0][344/2187] Loss_D: 0.0817 Loss_G: 4.0496 R1: 0.0130 R2: 0.0107 w_avg: [ 0.3230, 0.1960, 0.2202, ..., -0.0178, 0.0100, 0.0709]
INFO:root:[0][345/2187] Loss_D: 0.1271 Loss_G: 4.9451 R1: 0.0144 R2: 0.0138 w_avg: [ 0.3238, 0.1964, 0.2210, ..., -0.0177, 0.0101, 0.0708]
INFO:root:[0][346/2187] Loss_D: 0.0600 Loss_G: 3.4984 R1: 0.0161 R2: 0.0099 w_avg: [ 0.3245, 0.1963, 0.2212, ..., -0.0178, 0.0104, 0.0706]
INFO:root:[0][347/2187] Loss_D: 0.0955 Loss_G: 4.8274 R1: 0.0142 R2: 0.0082 w_avg: [ 0.3245, 0.1969, 0.2220, ..., -0.0175, 0.0103, 0.0709]
INFO:root:[0][348/2187] Loss_D: 0.1748 Loss_G: 6.9328 R1: 0.0180 R2: 0.0111 w_avg: [ 0.3253, 0.1977, 0.2223, ..., -0.0174, 0.0105, 0.0712]
INFO:root:[0][349/2187] Loss_D: 0.1738 Loss_G: 10.6477 R1: 0.0149 R2: 0.0167 w_avg: [ 0.3256, 0.1982, 0.2230, ..., -0.0176, 0.0106, 0.0715]
INFO:root:[0][350/2187] Loss_D: 0.1949 Loss_G: 6.0525 R1: 0.0168 R2: 0.0113 w_avg: [ 0.3258, 0.1986, 0.2242, ..., -0.0173, 0.0110, 0.0715]
INFO:root:[0][351/2187] Loss_D: 0.0595 Loss_G: 5.0030 R1: 0.0136 R2: 0.0113 w_avg: [ 0.3258, 0.1989, 0.2243, ..., -0.0175, 0.0111, 0.0719]
INFO:root:[0][352/2187] Loss_D: 0.0952 Loss_G: 5.3557 R1: 0.0141 R2: 0.0137 w_avg: [ 0.3259, 0.1999, 0.2244, ..., -0.0175, 0.0109, 0.0720]
INFO:root:[0][353/2187] Loss_D: 0.0738 Loss_G: 6.7433 R1: 0.0157 R2: 0.0145 w_avg: [ 0.3269, 0.2013, 0.2249, ..., -0.0174, 0.0112, 0.0720]
INFO:root:[0][354/2187] Loss_D: 0.0638 Loss_G: 5.9635 R1: 0.0142 R2: 0.0090 w_avg: [ 0.3284, 0.2014, 0.2258, ..., -0.0176, 0.0115, 0.0722]
INFO:root:[0][355/2187] Loss_D: 0.0334 Loss_G: 5.7535 R1: 0.0178 R2: 0.0089 w_avg: [ 0.3286, 0.2017, 0.2266, ..., -0.0174, 0.0112, 0.0727]
INFO:root:[0][356/2187] Loss_D: 0.0665 Loss_G: 5.8493 R1: 0.0167 R2: 0.0122 w_avg: [ 0.3292, 0.2019, 0.2267, ..., -0.0175, 0.0116, 0.0729]
INFO:root:[0][357/2187] Loss_D: 0.0466 Loss_G: 4.5463 R1: 0.0159 R2: 0.0142 w_avg: [ 0.3302, 0.2022, 0.2270, ..., -0.0176, 0.0119, 0.0726]
INFO:root:[0][358/2187] Loss_D: 0.0613 Loss_G: 5.9579 R1: 0.0176 R2: 0.0129 w_avg: [ 0.3302, 0.2030, 0.2271, ..., -0.0176, 0.0118, 0.0724]
INFO:root:[0][359/2187] Loss_D: 0.0653 Loss_G: 4.8270 R1: 0.0166 R2: 0.0118 w_avg: [ 0.3307, 0.2036, 0.2273, ..., -0.0175, 0.0118, 0.0725]
INFO:root:[0][360/2187] Loss_D: 0.1100 Loss_G: 5.9584 R1: 0.0136 R2: 0.0171 w_avg: [ 0.3311, 0.2037, 0.2279, ..., -0.0177, 0.0125, 0.0724]
INFO:root:[0][361/2187] Loss_D: 0.0417 Loss_G: 5.9988 R1: 0.0153 R2: 0.0096 w_avg: [ 0.3328, 0.2050, 0.2297, ..., -0.0180, 0.0123, 0.0723]
INFO:root:[0][362/2187] Loss_D: 0.0437 Loss_G: 5.2249 R1: 0.0145 R2: 0.0083 w_avg: [ 0.3339, 0.2052, 0.2301, ..., -0.0180, 0.0122, 0.0725]
INFO:root:[0][363/2187] Loss_D: 0.0556 Loss_G: 4.7291 R1: 0.0157 R2: 0.0118 w_avg: [ 0.3343, 0.2054, 0.2303, ..., -0.0183, 0.0121, 0.0729]
INFO:root:[0][364/2187] Loss_D: 0.0572 Loss_G: 5.2884 R1: 0.0170 R2: 0.0104 w_avg: [ 0.3353, 0.2057, 0.2306, ..., -0.0185, 0.0122, 0.0729]
INFO:root:[0][365/2187] Loss_D: 0.0758 Loss_G: 5.7245 R1: 0.0167 R2: 0.0095 w_avg: [ 0.3357, 0.2055, 0.2306, ..., -0.0184, 0.0121, 0.0732]
INFO:root:[0][366/2187] Loss_D: 0.0784 Loss_G: 4.6525 R1: 0.0159 R2: 0.0151 w_avg: [ 0.3363, 0.2061, 0.2307, ..., -0.0181, 0.0120, 0.0735]
INFO:root:[0][367/2187] Loss_D: 0.1002 Loss_G: 5.0569 R1: 0.0162 R2: 0.0114 w_avg: [ 0.3372, 0.2064, 0.2308, ..., -0.0180, 0.0120, 0.0739]
INFO:root:[0][368/2187] Loss_D: 0.0552 Loss_G: 4.5861 R1: 0.0141 R2: 0.0109 w_avg: [ 0.3382, 0.2079, 0.2309, ..., -0.0181, 0.0117, 0.0741]
INFO:root:[0][369/2187] Loss_D: 0.0696 Loss_G: 5.2126 R1: 0.0145 R2: 0.0148 w_avg: [ 0.3391, 0.2085, 0.2314, ..., -0.0179, 0.0116, 0.0746]
INFO:root:[0][370/2187] Loss_D: 0.1139 Loss_G: 4.1879 R1: 0.0142 R2: 0.0116 w_avg: [ 0.3391, 0.2090, 0.2322, ..., -0.0181, 0.0118, 0.0746]
INFO:root:[0][371/2187] Loss_D: 0.3079 Loss_G: 5.8045 R1: 0.0149 R2: 0.0164 w_avg: [ 0.3392, 0.2094, 0.2329, ..., -0.0181, 0.0119, 0.0745]
INFO:root:[0][372/2187] Loss_D: 0.4343 Loss_G: 7.5767 R1: 0.0177 R2: 0.0100 w_avg: [ 0.3399, 0.2101, 0.2328, ..., -0.0184, 0.0116, 0.0752]
INFO:root:[0][373/2187] Loss_D: 0.7755 Loss_G: 5.4231 R1: 0.0147 R2: 0.0158 w_avg: [ 0.3399, 0.2104, 0.2332, ..., -0.0185, 0.0113, 0.0753]
INFO:root:[0][374/2187] Loss_D: 0.1833 Loss_G: 4.5556 R1: 0.0140 R2: 0.0127 w_avg: [ 0.3413, 0.2110, 0.2344, ..., -0.0186, 0.0112, 0.0759]
INFO:root:[0][375/2187] Loss_D: 0.1336 Loss_G: 4.8406 R1: 0.0108 R2: 0.0111 w_avg: [ 0.3413, 0.2112, 0.2344, ..., -0.0186, 0.0112, 0.0762]
INFO:root:[0][376/2187] Loss_D: 0.1817 Loss_G: 4.0681 R1: 0.0102 R2: 0.0089 w_avg: [ 0.3419, 0.2111, 0.2344, ..., -0.0188, 0.0110, 0.0762]
INFO:root:[0][377/2187] Loss_D: 0.0455 Loss_G: 3.8966 R1: 0.0101 R2: 0.0082 w_avg: [ 0.3420, 0.2110, 0.2344, ..., -0.0189, 0.0111, 0.0760]
INFO:root:[0][378/2187] Loss_D: 0.1015 Loss_G: 4.1071 R1: 0.0123 R2: 0.0076 w_avg: [ 0.3421, 0.2115, 0.2347, ..., -0.0191, 0.0111, 0.0762]
INFO:root:[0][379/2187] Loss_D: 0.3609 Loss_G: 6.3626 R1: 0.0131 R2: 0.0064 w_avg: [ 0.3422, 0.2118, 0.2356, ..., -0.0191, 0.0111, 0.0765]
INFO:root:[0][380/2187] Loss_D: 0.1278 Loss_G: 4.6320 R1: 0.0134 R2: 0.0069 w_avg: [ 0.3424, 0.2126, 0.2360, ..., -0.0193, 0.0109, 0.0766]
INFO:root:[0][381/2187] Loss_D: 0.0528 Loss_G: 4.1066 R1: 0.0136 R2: 0.0064 w_avg: [ 0.3428, 0.2124, 0.2366, ..., -0.0197, 0.0109, 0.0769]
INFO:root:[0][382/2187] Loss_D: 0.0457 Loss_G: 4.4548 R1: 0.0148 R2: 0.0059 w_avg: [ 0.3433, 0.2127, 0.2372, ..., -0.0198, 0.0106, 0.0770]
INFO:root:[0][383/2187] Loss_D: 0.0846 Loss_G: 4.2301 R1: 0.0139 R2: 0.0094 w_avg: [ 0.3448, 0.2132, 0.2379, ..., -0.0201, 0.0107, 0.0771]
INFO:root:[0][384/2187] Loss_D: 0.1655 Loss_G: 3.9969 R1: 0.0130 R2: 0.0076 w_avg: [ 0.3449, 0.2130, 0.2382, ..., -0.0201, 0.0109, 0.0776]
INFO:root:[0][385/2187] Loss_D: 0.2048 Loss_G: 4.1381 R1: 0.0128 R2: 0.0122 w_avg: [ 0.3456, 0.2130, 0.2386, ..., -0.0205, 0.0110, 0.0777]
INFO:root:[0][386/2187] Loss_D: 0.0712 Loss_G: 3.3010 R1: 0.0144 R2: 0.0106 w_avg: [ 0.3457, 0.2131, 0.2390, ..., -0.0205, 0.0111, 0.0777]
INFO:root:[0][387/2187] Loss_D: 0.0947 Loss_G: 4.1317 R1: 0.0138 R2: 0.0117 w_avg: [ 0.3460, 0.2141, 0.2397, ..., -0.0204, 0.0111, 0.0777]
INFO:root:[0][388/2187] Loss_D: 0.1144 Loss_G: 4.1420 R1: 0.0125 R2: 0.0126 w_avg: [ 0.3461, 0.2141, 0.2396, ..., -0.0206, 0.0112, 0.0777]
INFO:root:[0][389/2187] Loss_D: 0.0567 Loss_G: 4.1693 R1: 0.0117 R2: 0.0150 w_avg: [ 0.3465, 0.2146, 0.2404, ..., -0.0205, 0.0114, 0.0776]
INFO:root:[0][390/2187] Loss_D: 0.1089 Loss_G: 3.9529 R1: 0.0132 R2: 0.0166 w_avg: [ 0.3470, 0.2148, 0.2404, ..., -0.0202, 0.0114, 0.0784]
INFO:root:[0][391/2187] Loss_D: 0.0419 Loss_G: 4.2697 R1: 0.0122 R2: 0.0126 w_avg: [ 0.3474, 0.2152, 0.2402, ..., -0.0202, 0.0114, 0.0792]
INFO:root:[0][392/2187] Loss_D: 0.0956 Loss_G: 3.5752 R1: 0.0179 R2: 0.0153 w_avg: [ 0.3475, 0.2158, 0.2413, ..., -0.0202, 0.0117, 0.0795]
INFO:root:[0][393/2187] Loss_D: 0.0763 Loss_G: 4.4692 R1: 0.0162 R2: 0.0121 w_avg: [ 0.3491, 0.2167, 0.2417, ..., -0.0202, 0.0119, 0.0795]
INFO:root:[0][394/2187] Loss_D: 0.0872 Loss_G: 5.0140 R1: 0.0163 R2: 0.0170 w_avg: [ 0.3498, 0.2168, 0.2421, ..., -0.0204, 0.0121, 0.0799]
INFO:root:[0][395/2187] Loss_D: 0.0533 Loss_G: 3.9848 R1: 0.0177 R2: 0.0135 w_avg: [ 0.3509, 0.2171, 0.2423, ..., -0.0206, 0.0124, 0.0801]
INFO:root:[0][396/2187] Loss_D: 0.1712 Loss_G: 4.7840 R1: 0.0184 R2: 0.0133 w_avg: [ 0.3507, 0.2172, 0.2425, ..., -0.0209, 0.0122, 0.0802]
INFO:root:[0][397/2187] Loss_D: 0.0761 Loss_G: 4.4258 R1: 0.0166 R2: 0.0163 w_avg: [ 0.3521, 0.2179, 0.2430, ..., -0.0208, 0.0123, 0.0804]
INFO:root:[0][398/2187] Loss_D: 0.0580 Loss_G: 3.7058 R1: 0.0155 R2: 0.0142 w_avg: [ 0.3525, 0.2191, 0.2431, ..., -0.0206, 0.0125, 0.0805]
INFO:root:[0][399/2187] Loss_D: 0.0837 Loss_G: 4.0794 R1: 0.0158 R2: 0.0180 w_avg: [ 0.3527, 0.2194, 0.2436, ..., -0.0208, 0.0123, 0.0806]
INFO:root:[0][400/2187] Loss_D: 0.0959 Loss_G: 4.1471 R1: 0.0183 R2: 0.0123 w_avg: [ 0.3537, 0.2199, 0.2443, ..., -0.0201, 0.0125, 0.0810]
INFO:root:[0][401/2187] Loss_D: 0.0588 Loss_G: 3.5940 R1: 0.0156 R2: 0.0158 w_avg: [ 0.3539, 0.2200, 0.2450, ..., -0.0203, 0.0125, 0.0810]
INFO:root:[0][402/2187] Loss_D: 0.0951 Loss_G: 4.9214 R1: 0.0180 R2: 0.0134 w_avg: [ 0.3542, 0.2201, 0.2455, ..., -0.0202, 0.0131, 0.0814]
INFO:root:[0][403/2187] Loss_D: 0.1055 Loss_G: 4.4138 R1: 0.0185 R2: 0.0175 w_avg: [ 0.3553, 0.2205, 0.2460, ..., -0.0200, 0.0131, 0.0815]
INFO:root:[0][404/2187] Loss_D: 0.0612 Loss_G: 4.8362 R1: 0.0168 R2: 0.0181 w_avg: [ 0.3564, 0.2208, 0.2462, ..., -0.0198, 0.0133, 0.0816]
INFO:root:[0][405/2187] Loss_D: 0.1146 Loss_G: 4.5775 R1: 0.0166 R2: 0.0162 w_avg: [ 0.3567, 0.2217, 0.2469, ..., -0.0198, 0.0132, 0.0817]
INFO:root:[0][406/2187] Loss_D: 0.1045 Loss_G: 5.5828 R1: 0.0184 R2: 0.0103 w_avg: [ 0.3576, 0.2219, 0.2470, ..., -0.0200, 0.0134, 0.0818]
INFO:root:[0][407/2187] Loss_D: 0.0597 Loss_G: 3.6141 R1: 0.0180 R2: 0.0186 w_avg: [ 0.3576, 0.2222, 0.2473, ..., -0.0199, 0.0134, 0.0819]
INFO:root:[0][408/2187] Loss_D: 0.0855 Loss_G: 4.9783 R1: 0.0168 R2: 0.0171 w_avg: [ 0.3580, 0.2229, 0.2477, ..., -0.0193, 0.0132, 0.0822]
INFO:root:[0][409/2187] Loss_D: 0.0626 Loss_G: 5.2054 R1: 0.0192 R2: 0.0183 w_avg: [ 0.3577, 0.2238, 0.2476, ..., -0.0192, 0.0129, 0.0823]
INFO:root:[0][410/2187] Loss_D: 0.1060 Loss_G: 3.7994 R1: 0.0199 R2: 0.0191 w_avg: [ 0.3585, 0.2251, 0.2480, ..., -0.0187, 0.0129, 0.0819]
INFO:root:[0][411/2187] Loss_D: 0.0721 Loss_G: 3.9432 R1: 0.0186 R2: 0.0244 w_avg: [ 0.3580, 0.2255, 0.2476, ..., -0.0188, 0.0127, 0.0819]
INFO:root:[0][412/2187] Loss_D: 0.1909 Loss_G: 4.2182 R1: 0.0197 R2: 0.0202 w_avg: [ 0.3585, 0.2262, 0.2477, ..., -0.0187, 0.0125, 0.0820]
INFO:root:[0][413/2187] Loss_D: 0.1142 Loss_G: 3.7452 R1: 0.0179 R2: 0.0153 w_avg: [ 0.3584, 0.2270, 0.2480, ..., -0.0183, 0.0123, 0.0823]
INFO:root:[0][414/2187] Loss_D: 0.1232 Loss_G: 2.7074 R1: 0.0191 R2: 0.0151 w_avg: [ 0.3586, 0.2278, 0.2476, ..., -0.0183, 0.0121, 0.0823]
INFO:root:[0][415/2187] Loss_D: 0.1365 Loss_G: 5.3586 R1: 0.0191 R2: 0.0277 w_avg: [ 0.3587, 0.2281, 0.2477, ..., -0.0184, 0.0119, 0.0826]
INFO:root:[0][416/2187] Loss_D: 0.1352 Loss_G: 5.1964 R1: 0.0188 R2: 0.0099 w_avg: [ 0.3594, 0.2285, 0.2486, ..., -0.0186, 0.0121, 0.0830]
INFO:root:[0][417/2187] Loss_D: 0.0689 Loss_G: 4.3075 R1: 0.0231 R2: 0.0167 w_avg: [ 0.3606, 0.2295, 0.2491, ..., -0.0185, 0.0122, 0.0830]
INFO:root:[0][418/2187] Loss_D: 0.1351 Loss_G: 4.6573 R1: 0.0196 R2: 0.0191 w_avg: [ 0.3615, 0.2294, 0.2496, ..., -0.0188, 0.0125, 0.0830]
INFO:root:[0][419/2187] Loss_D: 0.0934 Loss_G: 5.3582 R1: 0.0224 R2: 0.0155 w_avg: [ 0.3613, 0.2292, 0.2497, ..., -0.0188, 0.0122, 0.0830]
INFO:root:[0][420/2187] Loss_D: 0.0793 Loss_G: 3.7216 R1: 0.0230 R2: 0.0195 w_avg: [ 0.3613, 0.2300, 0.2502, ..., -0.0189, 0.0127, 0.0828]
INFO:root:[0][421/2187] Loss_D: 0.1100 Loss_G: 3.9650 R1: 0.0219 R2: 0.0183 w_avg: [ 0.3615, 0.2307, 0.2507, ..., -0.0187, 0.0126, 0.0833]
INFO:root:[0][422/2187] Loss_D: 0.2502 Loss_G: 4.0479 R1: 0.0183 R2: 0.0188 w_avg: [ 0.3623, 0.2313, 0.2512, ..., -0.0190, 0.0127, 0.0834]
INFO:root:[0][423/2187] Loss_D: 0.1128 Loss_G: 6.1824 R1: 0.0226 R2: 0.0092 w_avg: [ 0.3635, 0.2327, 0.2514, ..., -0.0191, 0.0124, 0.0838]
INFO:root:[0][424/2187] Loss_D: 0.1016 Loss_G: 4.8329 R1: 0.0212 R2: 0.0159 w_avg: [ 0.3640, 0.2333, 0.2518, ..., -0.0190, 0.0125, 0.0844]
INFO:root:[0][425/2187] Loss_D: 0.0821 Loss_G: 5.0986 R1: 0.0192 R2: 0.0180 w_avg: [ 0.3637, 0.2334, 0.2524, ..., -0.0191, 0.0124, 0.0848]
INFO:root:[0][426/2187] Loss_D: 0.0798 Loss_G: 3.9623 R1: 0.0167 R2: 0.0117 w_avg: [ 0.3644, 0.2336, 0.2526, ..., -0.0193, 0.0120, 0.0855]
INFO:root:[0][427/2187] Loss_D: 0.1021 Loss_G: 4.3442 R1: 0.0177 R2: 0.0157 w_avg: [ 0.3653, 0.2342, 0.2533, ..., -0.0193, 0.0121, 0.0852]
INFO:root:[0][428/2187] Loss_D: 0.0775 Loss_G: 4.5388 R1: 0.0204 R2: 0.0125 w_avg: [ 0.3661, 0.2346, 0.2541, ..., -0.0191, 0.0123, 0.0854]
INFO:root:[0][429/2187] Loss_D: 0.1076 Loss_G: 5.1089 R1: 0.0176 R2: 0.0131 w_avg: [ 0.3663, 0.2353, 0.2540, ..., -0.0193, 0.0124, 0.0853]
INFO:root:[0][430/2187] Loss_D: 0.0934 Loss_G: 5.7042 R1: 0.0208 R2: 0.0103 w_avg: [ 0.3667, 0.2360, 0.2542, ..., -0.0193, 0.0125, 0.0854]
INFO:root:[0][431/2187] Loss_D: 0.0847 Loss_G: 4.7747 R1: 0.0170 R2: 0.0170 w_avg: [ 0.3670, 0.2374, 0.2544, ..., -0.0193, 0.0123, 0.0858]
INFO:root:[0][432/2187] Loss_D: 0.1645 Loss_G: 4.7675 R1: 0.0163 R2: 0.0183 w_avg: [ 0.3674, 0.2373, 0.2551, ..., -0.0196, 0.0122, 0.0859]
INFO:root:[0][433/2187] Loss_D: 0.1091 Loss_G: 3.8620 R1: 0.0183 R2: 0.0170 w_avg: [ 0.3682, 0.2372, 0.2553, ..., -0.0197, 0.0129, 0.0859]
INFO:root:[0][434/2187] Loss_D: 0.0838 Loss_G: 5.0804 R1: 0.0156 R2: 0.0167 w_avg: [ 0.3687, 0.2383, 0.2559, ..., -0.0195, 0.0130, 0.0862]
INFO:root:[0][435/2187] Loss_D: 0.0367 Loss_G: 6.5070 R1: 0.0201 R2: 0.0088 w_avg: [ 0.3688, 0.2391, 0.2559, ..., -0.0188, 0.0128, 0.0864]
INFO:root:[0][436/2187] Loss_D: 0.0697 Loss_G: 4.6630 R1: 0.0155 R2: 0.0163 w_avg: [ 0.3690, 0.2398, 0.2559, ..., -0.0189, 0.0127, 0.0863]
INFO:root:[0][437/2187] Loss_D: 0.1662 Loss_G: 4.3574 R1: 0.0203 R2: 0.0175 w_avg: [ 0.3695, 0.2397, 0.2567, ..., -0.0188, 0.0127, 0.0862]
INFO:root:[0][438/2187] Loss_D: 0.0823 Loss_G: 3.0318 R1: 0.0187 R2: 0.0138 w_avg: [ 0.3699, 0.2403, 0.2575, ..., -0.0187, 0.0127, 0.0867]
INFO:root:[0][439/2187] Loss_D: 0.2049 Loss_G: 4.1162 R1: 0.0180 R2: 0.0180 w_avg: [ 0.3697, 0.2404, 0.2577, ..., -0.0187, 0.0131, 0.0865]
INFO:root:[0][440/2187] Loss_D: 0.2403 Loss_G: 4.9138 R1: 0.0203 R2: 0.0166 w_avg: [ 0.3706, 0.2411, 0.2582, ..., -0.0189, 0.0130, 0.0867]
INFO:root:[0][441/2187] Loss_D: 0.2014 Loss_G: 4.2249 R1: 0.0167 R2: 0.0190 w_avg: [ 0.3710, 0.2419, 0.2592, ..., -0.0190, 0.0131, 0.0865]
INFO:root:[0][442/2187] Loss_D: 0.1972 Loss_G: 3.9250 R1: 0.0166 R2: 0.0161 w_avg: [ 0.3713, 0.2430, 0.2596, ..., -0.0192, 0.0134, 0.0866]
INFO:root:[0][443/2187] Loss_D: 0.0596 Loss_G: 4.1019 R1: 0.0175 R2: 0.0136 w_avg: [ 0.3712, 0.2433, 0.2594, ..., -0.0193, 0.0137, 0.0867]
INFO:root:[0][444/2187] Loss_D: 0.1668 Loss_G: 3.7613 R1: 0.0182 R2: 0.0156 w_avg: [ 0.3723, 0.2436, 0.2597, ..., -0.0196, 0.0136, 0.0868]
INFO:root:[0][445/2187] Loss_D: 0.0552 Loss_G: 4.7898 R1: 0.0168 R2: 0.0105 w_avg: [ 0.3722, 0.2444, 0.2598, ..., -0.0196, 0.0133, 0.0870]
INFO:root:[0][446/2187] Loss_D: 0.1165 Loss_G: 3.4462 R1: 0.0193 R2: 0.0133 w_avg: [ 0.3727, 0.2441, 0.2596, ..., -0.0194, 0.0135, 0.0868]
INFO:root:[0][447/2187] Loss_D: 0.0912 Loss_G: 4.0141 R1: 0.0169 R2: 0.0140 w_avg: [ 0.3726, 0.2446, 0.2601, ..., -0.0196, 0.0132, 0.0868]
INFO:root:[0][448/2187] Loss_D: 0.1195 Loss_G: 4.9087 R1: 0.0156 R2: 0.0158 w_avg: [ 0.3736, 0.2448, 0.2613, ..., -0.0193, 0.0132, 0.0867]
INFO:root:[0][449/2187] Loss_D: 0.0461 Loss_G: 4.2755 R1: 0.0168 R2: 0.0123 w_avg: [ 0.3740, 0.2445, 0.2614, ..., -0.0195, 0.0134, 0.0865]
INFO:root:[0][450/2187] Loss_D: 0.1168 Loss_G: 3.3729 R1: 0.0167 R2: 0.0137 w_avg: [ 0.3745, 0.2451, 0.2616, ..., -0.0198, 0.0131, 0.0866]
INFO:root:[0][451/2187] Loss_D: 0.1560 Loss_G: 3.4430 R1: 0.0162 R2: 0.0150 w_avg: [ 0.3745, 0.2456, 0.2620, ..., -0.0201, 0.0130, 0.0868]
INFO:root:[0][452/2187] Loss_D: 0.2012 Loss_G: 5.1251 R1: 0.0184 R2: 0.0170 w_avg: [ 0.3747, 0.2460, 0.2625, ..., -0.0199, 0.0133, 0.0868]
INFO:root:[0][453/2187] Loss_D: 0.5375 Loss_G: 4.9425 R1: 0.0179 R2: 0.0158 w_avg: [ 0.3750, 0.2459, 0.2621, ..., -0.0200, 0.0132, 0.0866]
INFO:root:[0][454/2187] Loss_D: 0.1074 Loss_G: 4.1376 R1: 0.0138 R2: 0.0057 w_avg: [ 0.3749, 0.2460, 0.2623, ..., -0.0199, 0.0133, 0.0872]
INFO:root:[0][455/2187] Loss_D: 0.1052 Loss_G: 4.5514 R1: 0.0151 R2: 0.0091 w_avg: [ 0.3747, 0.2463, 0.2627, ..., -0.0200, 0.0132, 0.0870]
INFO:root:[0][456/2187] Loss_D: 0.1358 Loss_G: 3.7858 R1: 0.0144 R2: 0.0111 w_avg: [ 0.3750, 0.2468, 0.2624, ..., -0.0202, 0.0133, 0.0871]
INFO:root:[0][457/2187] Loss_D: 0.2320 Loss_G: 4.4740 R1: 0.0147 R2: 0.0126 w_avg: [ 0.3751, 0.2474, 0.2630, ..., -0.0201, 0.0134, 0.0873]
INFO:root:[0][458/2187] Loss_D: 0.1196 Loss_G: 4.2661 R1: 0.0189 R2: 0.0120 w_avg: [ 0.3762, 0.2472, 0.2629, ..., -0.0203, 0.0135, 0.0873]
INFO:root:[0][459/2187] Loss_D: 0.1085 Loss_G: 3.7741 R1: 0.0159 R2: 0.0149 w_avg: [ 0.3771, 0.2476, 0.2632, ..., -0.0204, 0.0135, 0.0873]
INFO:root:[0][460/2187] Loss_D: 0.1281 Loss_G: 3.6274 R1: 0.0159 R2: 0.0165 w_avg: [ 0.3781, 0.2483, 0.2642, ..., -0.0207, 0.0133, 0.0871]
INFO:root:[0][461/2187] Loss_D: 0.2490 Loss_G: 4.8808 R1: 0.0166 R2: 0.0169 w_avg: [ 0.3788, 0.2485, 0.2643, ..., -0.0208, 0.0133, 0.0879]
INFO:root:[0][462/2187] Loss_D: 0.1000 Loss_G: 3.7997 R1: 0.0167 R2: 0.0132 w_avg: [ 0.3793, 0.2485, 0.2639, ..., -0.0209, 0.0134, 0.0884]
INFO:root:[0][463/2187] Loss_D: 0.0664 Loss_G: 3.8695 R1: 0.0164 R2: 0.0134 w_avg: [ 0.3802, 0.2483, 0.2635, ..., -0.0210, 0.0137, 0.0886]
INFO:root:[0][464/2187] Loss_D: 0.0844 Loss_G: 4.6165 R1: 0.0164 R2: 0.0145 w_avg: [ 0.3805, 0.2485, 0.2641, ..., -0.0212, 0.0140, 0.0888]
INFO:root:[0][465/2187] Loss_D: 0.1760 Loss_G: 4.9911 R1: 0.0169 R2: 0.0144 w_avg: [ 0.3808, 0.2487, 0.2638, ..., -0.0213, 0.0140, 0.0886]
INFO:root:[0][466/2187] Loss_D: 0.0983 Loss_G: 3.8959 R1: 0.0180 R2: 0.0142 w_avg: [ 0.3814, 0.2486, 0.2641, ..., -0.0212, 0.0142, 0.0886]
INFO:root:[0][467/2187] Loss_D: 0.1764 Loss_G: 4.3624 R1: 0.0183 R2: 0.0148 w_avg: [ 0.3815, 0.2492, 0.2647, ..., -0.0212, 0.0145, 0.0888]
INFO:root:[0][468/2187] Loss_D: 0.1234 Loss_G: 5.8009 R1: 0.0186 R2: 0.0121 w_avg: [ 0.3819, 0.2497, 0.2658, ..., -0.0212, 0.0144, 0.0891]
INFO:root:[0][469/2187] Loss_D: 0.0884 Loss_G: 5.3078 R1: 0.0180 R2: 0.0136 w_avg: [ 0.3825, 0.2504, 0.2658, ..., -0.0213, 0.0144, 0.0892]
INFO:root:[0][470/2187] Loss_D: 0.0614 Loss_G: 4.7056 R1: 0.0190 R2: 0.0150 w_avg: [ 0.3833, 0.2507, 0.2657, ..., -0.0215, 0.0140, 0.0894]
INFO:root:[0][471/2187] Loss_D: 0.1241 Loss_G: 5.2552 R1: 0.0186 R2: 0.0175 w_avg: [ 0.3833, 0.2513, 0.2663, ..., -0.0217, 0.0140, 0.0895]
INFO:root:[0][472/2187] Loss_D: 0.1128 Loss_G: 3.6782 R1: 0.0181 R2: 0.0163 w_avg: [ 0.3836, 0.2515, 0.2669, ..., -0.0217, 0.0141, 0.0894]
INFO:root:[0][473/2187] Loss_D: 0.3402 Loss_G: 4.8429 R1: 0.0174 R2: 0.0172 w_avg: [ 0.3838, 0.2515, 0.2678, ..., -0.0220, 0.0142, 0.0893]
INFO:root:[0][474/2187] Loss_D: 0.2567 Loss_G: 6.1965 R1: 0.0194 R2: 0.0131 w_avg: [ 0.3846, 0.2519, 0.2683, ..., -0.0223, 0.0141, 0.0897]
INFO:root:[0][475/2187] Loss_D: 0.1314 Loss_G: 6.0451 R1: 0.0188 R2: 0.0108 w_avg: [ 0.3847, 0.2524, 0.2689, ..., -0.0226, 0.0141, 0.0898]
INFO:root:[0][476/2187] Loss_D: 0.0971 Loss_G: 5.2382 R1: 0.0205 R2: 0.0148 w_avg: [ 0.3850, 0.2533, 0.2689, ..., -0.0228, 0.0139, 0.0904]
INFO:root:[0][477/2187] Loss_D: 0.1079 Loss_G: 5.4425 R1: 0.0191 R2: 0.0133 w_avg: [ 0.3853, 0.2538, 0.2695, ..., -0.0224, 0.0136, 0.0905]
INFO:root:[0][478/2187] Loss_D: 0.0531 Loss_G: 4.5688 R1: 0.0178 R2: 0.0149 w_avg: [ 0.3858, 0.2542, 0.2702, ..., -0.0224, 0.0133, 0.0909]
INFO:root:[0][479/2187] Loss_D: 0.2535 Loss_G: 5.7093 R1: 0.0202 R2: 0.0250 w_avg: [ 0.3865, 0.2545, 0.2707, ..., -0.0225, 0.0133, 0.0909]
INFO:root:[0][480/2187] Loss_D: 0.0742 Loss_G: 3.4864 R1: 0.0197 R2: 0.0204 w_avg: [ 0.3870, 0.2549, 0.2708, ..., -0.0225, 0.0134, 0.0908]
INFO:root:[0][481/2187] Loss_D: 0.1711 Loss_G: 5.5339 R1: 0.0202 R2: 0.0185 w_avg: [ 0.3877, 0.2556, 0.2708, ..., -0.0222, 0.0132, 0.0912]
INFO:root:[0][482/2187] Loss_D: 0.1390 Loss_G: 4.5143 R1: 0.0158 R2: 0.0101 w_avg: [ 0.3883, 0.2563, 0.2712, ..., -0.0222, 0.0132, 0.0917]
INFO:root:[0][483/2187] Loss_D: 0.1237 Loss_G: 4.6385 R1: 0.0167 R2: 0.0123 w_avg: [ 0.3898, 0.2577, 0.2713, ..., -0.0221, 0.0134, 0.0915]
INFO:root:[0][484/2187] Loss_D: 0.1332 Loss_G: 4.0189 R1: 0.0173 R2: 0.0176 w_avg: [ 0.3894, 0.2584, 0.2714, ..., -0.0223, 0.0136, 0.0921]
INFO:root:[0][485/2187] Loss_D: 0.1596 Loss_G: 3.8358 R1: 0.0176 R2: 0.0184 w_avg: [ 0.3902, 0.2585, 0.2717, ..., -0.0225, 0.0135, 0.0920]
INFO:root:[0][486/2187] Loss_D: 0.2455 Loss_G: 4.8479 R1: 0.0210 R2: 0.0216 w_avg: [ 0.3903, 0.2587, 0.2716, ..., -0.0222, 0.0138, 0.0925]
INFO:root:[0][487/2187] Loss_D: 0.1358 Loss_G: 8.9106 R1: 0.0217 R2: 0.0173 w_avg: [ 0.3904, 0.2592, 0.2718, ..., -0.0225, 0.0135, 0.0923]
INFO:root:[0][488/2187] Loss_D: 0.1061 Loss_G: 6.3781 R1: 0.0257 R2: 0.0254 w_avg: [ 0.3900, 0.2592, 0.2721, ..., -0.0224, 0.0137, 0.0922]
INFO:root:[0][489/2187] Loss_D: 0.0670 Loss_G: 4.8019 R1: 0.0244 R2: 0.0259 w_avg: [ 0.3912, 0.2588, 0.2721, ..., -0.0222, 0.0139, 0.0928]
INFO:root:[0][490/2187] Loss_D: 0.1369 Loss_G: 6.6951 R1: 0.0221 R2: 0.0240 w_avg: [ 0.3911, 0.2587, 0.2726, ..., -0.0224, 0.0141, 0.0928]
INFO:root:[0][491/2187] Loss_D: 0.0993 Loss_G: 5.3175 R1: 0.0225 R2: 0.0193 w_avg: [ 0.3916, 0.2593, 0.2724, ..., -0.0224, 0.0140, 0.0932]
INFO:root:[0][492/2187] Loss_D: 0.0971 Loss_G: 5.4109 R1: 0.0224 R2: 0.0134 w_avg: [ 0.3918, 0.2597, 0.2726, ..., -0.0226, 0.0139, 0.0930]
INFO:root:[0][493/2187] Loss_D: 0.0620 Loss_G: 5.0661 R1: 0.0208 R2: 0.0152 w_avg: [ 0.3914, 0.2596, 0.2730, ..., -0.0227, 0.0139, 0.0928]
INFO:root:[0][494/2187] Loss_D: 0.1016 Loss_G: 4.7428 R1: 0.0200 R2: 0.0153 w_avg: [ 0.3921, 0.2600, 0.2732, ..., -0.0229, 0.0143, 0.0928]
INFO:root:[0][495/2187] Loss_D: 0.1377 Loss_G: 5.1379 R1: 0.0205 R2: 0.0235 w_avg: [ 0.3921, 0.2604, 0.2738, ..., -0.0228, 0.0142, 0.0931]
INFO:root:[0][496/2187] Loss_D: 0.2202 Loss_G: 4.6902 R1: 0.0222 R2: 0.0153 w_avg: [ 0.3932, 0.2608, 0.2745, ..., -0.0227, 0.0145, 0.0930]
INFO:root:[0][497/2187] Loss_D: 0.1325 Loss_G: 6.4930 R1: 0.0201 R2: 0.0234 w_avg: [ 0.3934, 0.2611, 0.2745, ..., -0.0226, 0.0145, 0.0931]
INFO:root:[0][498/2187] Loss_D: 0.0700 Loss_G: 5.7140 R1: 0.0199 R2: 0.0185 w_avg: [ 0.3943, 0.2612, 0.2748, ..., -0.0227, 0.0145, 0.0930]
INFO:root:[0][499/2187] Loss_D: 0.0694 Loss_G: 5.5899 R1: 0.0218 R2: 0.0151 w_avg: [ 0.3949, 0.2614, 0.2748, ..., -0.0230, 0.0144, 0.0937]
INFO:root:[0][500/2187] Loss_D: 0.1025 Loss_G: 5.7828 R1: 0.0214 R2: 0.0178 w_avg: [ 0.3951, 0.2612, 0.2750, ..., -0.0227, 0.0145, 0.0941]
INFO:root:[0][501/2187] Loss_D: 0.0497 Loss_G: 5.1895 R1: 0.0220 R2: 0.0147 w_avg: [ 0.3955, 0.2612, 0.2747, ..., -0.0227, 0.0146, 0.0943]
INFO:root:[0][502/2187] Loss_D: 0.0586 Loss_G: 4.5894 R1: 0.0257 R2: 0.0152 w_avg: [ 0.3957, 0.2618, 0.2754, ..., -0.0228, 0.0146, 0.0945]
INFO:root:[0][503/2187] Loss_D: 0.0435 Loss_G: 4.4283 R1: 0.0231 R2: 0.0146 w_avg: [ 0.3967, 0.2621, 0.2754, ..., -0.0228, 0.0147, 0.0952]
INFO:root:[0][504/2187] Loss_D: 0.1733 Loss_G: 5.3840 R1: 0.0218 R2: 0.0199 w_avg: [ 0.3972, 0.2620, 0.2751, ..., -0.0227, 0.0146, 0.0950]
INFO:root:[0][505/2187] Loss_D: 0.1743 Loss_G: 5.3506 R1: 0.0188 R2: 0.0154 w_avg: [ 0.3979, 0.2620, 0.2751, ..., -0.0229, 0.0149, 0.0949]
INFO:root:[0][506/2187] Loss_D: 0.1896 Loss_G: 4.0062 R1: 0.0271 R2: 0.0119 w_avg: [ 0.3982, 0.2619, 0.2749, ..., -0.0231, 0.0150, 0.0947]
INFO:root:[0][507/2187] Loss_D: 0.3230 Loss_G: 2.2623 R1: 0.0305 R2: 0.0155 w_avg: [ 0.3985, 0.2617, 0.2751, ..., -0.0229, 0.0157, 0.0948]
INFO:root:[0][508/2187] Loss_D: 0.2362 Loss_G: 3.2956 R1: 0.0130 R2: 0.0035 w_avg: [ 0.3986, 0.2614, 0.2756, ..., -0.0229, 0.0156, 0.0944]
INFO:root:[0][509/2187] Loss_D: 0.0845 Loss_G: 5.2673 R1: 0.0187 R2: 0.0049 w_avg: [ 0.3995, 0.2618, 0.2760, ..., -0.0228, 0.0156, 0.0946]
INFO:root:[0][510/2187] Loss_D: 0.0635 Loss_G: 4.9733 R1: 0.0197 R2: 0.0094 w_avg: [ 0.3995, 0.2619, 0.2758, ..., -0.0230, 0.0160, 0.0951]
INFO:root:[0][511/2187] Loss_D: 0.0981 Loss_G: 5.5483 R1: 0.0210 R2: 0.0165 w_avg: [ 0.4000, 0.2617, 0.2760, ..., -0.0230, 0.0158, 0.0952]
INFO:root:[0][512/2187] Loss_D: 0.1405 Loss_G: 4.7329 R1: 0.0189 R2: 0.0149 w_avg: [ 0.3998, 0.2615, 0.2763, ..., -0.0233, 0.0158, 0.0952]
INFO:root:[0][513/2187] Loss_D: 0.0763 Loss_G: 4.6623 R1: 0.0235 R2: 0.0189 w_avg: [ 0.4010, 0.2612, 0.2765, ..., -0.0235, 0.0161, 0.0957]
INFO:root:[0][514/2187] Loss_D: 0.0915 Loss_G: 4.2634 R1: 0.0202 R2: 0.0206 w_avg: [ 0.4014, 0.2615, 0.2773, ..., -0.0238, 0.0162, 0.0962]
INFO:root:[0][515/2187] Loss_D: 0.1360 Loss_G: 4.9167 R1: 0.0193 R2: 0.0185 w_avg: [ 0.4016, 0.2621, 0.2778, ..., -0.0241, 0.0163, 0.0964]
INFO:root:[0][516/2187] Loss_D: 0.0984 Loss_G: 4.3949 R1: 0.0214 R2: 0.0127 w_avg: [ 0.4023, 0.2617, 0.2783, ..., -0.0242, 0.0167, 0.0961]
INFO:root:[0][517/2187] Loss_D: 0.2053 Loss_G: 4.4805 R1: 0.0200 R2: 0.0164 w_avg: [ 0.4021, 0.2617, 0.2785, ..., -0.0244, 0.0166, 0.0961]
INFO:root:[0][518/2187] Loss_D: 0.1360 Loss_G: 4.6947 R1: 0.0267 R2: 0.0217 w_avg: [ 0.4029, 0.2622, 0.2784, ..., -0.0247, 0.0167, 0.0962]
INFO:root:[0][519/2187] Loss_D: 0.1624 Loss_G: 5.2423 R1: 0.0223 R2: 0.0139 w_avg: [ 0.4033, 0.2626, 0.2783, ..., -0.0249, 0.0165, 0.0961]
INFO:root:[0][520/2187] Loss_D: 0.0800 Loss_G: 5.1568 R1: 0.0203 R2: 0.0088 w_avg: [ 0.4041, 0.2631, 0.2789, ..., -0.0250, 0.0167, 0.0958]
INFO:root:[0][521/2187] Loss_D: 0.0729 Loss_G: 4.4372 R1: 0.0176 R2: 0.0130 w_avg: [ 0.4047, 0.2631, 0.2793, ..., -0.0253, 0.0165, 0.0959]
INFO:root:[0][522/2187] Loss_D: 0.0580 Loss_G: 4.7884 R1: 0.0192 R2: 0.0146 w_avg: [ 0.4044, 0.2638, 0.2803, ..., -0.0253, 0.0162, 0.0958]
INFO:root:[0][523/2187] Loss_D: 0.0583 Loss_G: 4.8920 R1: 0.0195 R2: 0.0157 w_avg: [ 0.4039, 0.2649, 0.2805, ..., -0.0253, 0.0161, 0.0957]
INFO:root:[0][524/2187] Loss_D: 0.0636 Loss_G: 4.5090 R1: 0.0192 R2: 0.0174 w_avg: [ 0.4044, 0.2656, 0.2816, ..., -0.0253, 0.0162, 0.0956]
INFO:root:[0][525/2187] Loss_D: 0.0647 Loss_G: 5.0900 R1: 0.0203 R2: 0.0167 w_avg: [ 0.4048, 0.2665, 0.2821, ..., -0.0256, 0.0160, 0.0957]
INFO:root:[0][526/2187] Loss_D: 0.0586 Loss_G: 4.1427 R1: 0.0179 R2: 0.0155 w_avg: [ 0.4052, 0.2668, 0.2821, ..., -0.0258, 0.0162, 0.0961]
INFO:root:[0][527/2187] Loss_D: 0.0863 Loss_G: 5.0808 R1: 0.0188 R2: 0.0187 w_avg: [ 0.4055, 0.2671, 0.2826, ..., -0.0259, 0.0161, 0.0962]
INFO:root:[0][528/2187] Loss_D: 0.0878 Loss_G: 4.2651 R1: 0.0184 R2: 0.0187 w_avg: [ 0.4053, 0.2676, 0.2830, ..., -0.0259, 0.0163, 0.0962]
INFO:root:[0][529/2187] Loss_D: 0.1104 Loss_G: 5.4794 R1: 0.0224 R2: 0.0182 w_avg: [ 0.4060, 0.2680, 0.2830, ..., -0.0261, 0.0163, 0.0962]
INFO:root:[0][530/2187] Loss_D: 0.1115 Loss_G: 4.8091 R1: 0.0206 R2: 0.0208 w_avg: [ 0.4062, 0.2682, 0.2830, ..., -0.0262, 0.0166, 0.0965]
INFO:root:[0][531/2187] Loss_D: 0.1033 Loss_G: 4.9042 R1: 0.0216 R2: 0.0181 w_avg: [ 0.4065, 0.2685, 0.2828, ..., -0.0263, 0.0163, 0.0964]
INFO:root:[0][532/2187] Loss_D: 0.1834 Loss_G: 3.6612 R1: 0.0201 R2: 0.0259 w_avg: [ 0.4066, 0.2685, 0.2828, ..., -0.0261, 0.0163, 0.0969]
INFO:root:[0][533/2187] Loss_D: 0.1731 Loss_G: 4.2000 R1: 0.0265 R2: 0.0168 w_avg: [ 0.4064, 0.2684, 0.2829, ..., -0.0264, 0.0165, 0.0964]
INFO:root:[0][534/2187] Loss_D: 0.3635 Loss_G: 4.6158 R1: 0.0286 R2: 0.0094 w_avg: [ 0.4068, 0.2695, 0.2826, ..., -0.0258, 0.0165, 0.0965]
INFO:root:[0][535/2187] Loss_D: 0.3200 Loss_G: 3.6770 R1: 0.0244 R2: 0.0176 w_avg: [ 0.4066, 0.2698, 0.2822, ..., -0.0259, 0.0165, 0.0966]
INFO:root:[0][536/2187] Loss_D: 0.2716 Loss_G: 3.4072 R1: 0.0184 R2: 0.0111 w_avg: [ 0.4065, 0.2700, 0.2827, ..., -0.0260, 0.0163, 0.0972]
INFO:root:[0][537/2187] Loss_D: 0.3718 Loss_G: 3.3423 R1: 0.0169 R2: 0.0094 w_avg: [ 0.4070, 0.2709, 0.2832, ..., -0.0260, 0.0162, 0.0970]
INFO:root:[0][538/2187] Loss_D: 0.2151 Loss_G: 4.3223 R1: 0.0133 R2: 0.0066 w_avg: [ 0.4073, 0.2708, 0.2834, ..., -0.0262, 0.0163, 0.0974]
INFO:root:[0][539/2187] Loss_D: 0.0818 Loss_G: 4.1066 R1: 0.0178 R2: 0.0070 w_avg: [ 0.4079, 0.2710, 0.2837, ..., -0.0265, 0.0164, 0.0975]
INFO:root:[0][540/2187] Loss_D: 0.0655 Loss_G: 4.0258 R1: 0.0153 R2: 0.0085 w_avg: [ 0.4089, 0.2712, 0.2839, ..., -0.0265, 0.0164, 0.0975]
INFO:root:[0][541/2187] Loss_D: 0.1337 Loss_G: 3.1305 R1: 0.0168 R2: 0.0127 w_avg: [ 0.4087, 0.2712, 0.2836, ..., -0.0263, 0.0164, 0.0975]
INFO:root:[0][542/2187] Loss_D: 0.0461 Loss_G: 4.7720 R1: 0.0167 R2: 0.0051 w_avg: [ 0.4091, 0.2710, 0.2845, ..., -0.0263, 0.0168, 0.0970]
INFO:root:[0][543/2187] Loss_D: 0.1061 Loss_G: 4.6372 R1: 0.0168 R2: 0.0091 w_avg: [ 0.4105, 0.2716, 0.2848, ..., -0.0264, 0.0168, 0.0968]
INFO:root:[0][544/2187] Loss_D: 0.0629 Loss_G: 4.5450 R1: 0.0178 R2: 0.0073 w_avg: [ 0.4108, 0.2718, 0.2850, ..., -0.0265, 0.0167, 0.0973]
INFO:root:[0][545/2187] Loss_D: 0.1633 Loss_G: 5.0348 R1: 0.0174 R2: 0.0109 w_avg: [ 0.4120, 0.2723, 0.2852, ..., -0.0265, 0.0168, 0.0974]
INFO:root:[0][546/2187] Loss_D: 0.0865 Loss_G: 4.9599 R1: 0.0190 R2: 0.0078 w_avg: [ 0.4119, 0.2728, 0.2856, ..., -0.0266, 0.0167, 0.0976]
INFO:root:[0][547/2187] Loss_D: 0.0886 Loss_G: 5.4800 R1: 0.0186 R2: 0.0134 w_avg: [ 0.4122, 0.2729, 0.2859, ..., -0.0268, 0.0167, 0.0974]
INFO:root:[0][548/2187] Loss_D: 0.0474 Loss_G: 4.4696 R1: 0.0189 R2: 0.0170 w_avg: [ 0.4133, 0.2738, 0.2864, ..., -0.0262, 0.0166, 0.0975]
INFO:root:[0][549/2187] Loss_D: 0.0412 Loss_G: 4.5233 R1: 0.0156 R2: 0.0135 w_avg: [ 0.4131, 0.2738, 0.2863, ..., -0.0263, 0.0169, 0.0975]
INFO:root:[0][550/2187] Loss_D: 0.1281 Loss_G: 5.4173 R1: 0.0185 R2: 0.0136 w_avg: [ 0.4140, 0.2737, 0.2866, ..., -0.0266, 0.0173, 0.0973]
INFO:root:[0][551/2187] Loss_D: 0.1168 Loss_G: 3.9531 R1: 0.0243 R2: 0.0205 w_avg: [ 0.4141, 0.2741, 0.2871, ..., -0.0268, 0.0172, 0.0973]
INFO:root:[0][552/2187] Loss_D: 0.0914 Loss_G: 4.3834 R1: 0.0177 R2: 0.0149 w_avg: [ 0.4153, 0.2747, 0.2878, ..., -0.0269, 0.0170, 0.0971]
INFO:root:[0][553/2187] Loss_D: 0.1703 Loss_G: 4.0189 R1: 0.0179 R2: 0.0138 w_avg: [ 0.4166, 0.2759, 0.2882, ..., -0.0269, 0.0171, 0.0969]
INFO:root:[0][554/2187] Loss_D: 0.1638 Loss_G: 3.7547 R1: 0.0186 R2: 0.0195 w_avg: [ 0.4174, 0.2769, 0.2889, ..., -0.0269, 0.0168, 0.0975]
INFO:root:[0][555/2187] Loss_D: 0.1401 Loss_G: 3.8189 R1: 0.0220 R2: 0.0198 w_avg: [ 0.4177, 0.2774, 0.2886, ..., -0.0270, 0.0164, 0.0976]
INFO:root:[0][556/2187] Loss_D: 0.2193 Loss_G: 4.3282 R1: 0.0267 R2: 0.0183 w_avg: [ 0.4182, 0.2780, 0.2894, ..., -0.0270, 0.0162, 0.0980]
INFO:root:[0][557/2187] Loss_D: 0.3539 Loss_G: 2.7922 R1: 0.0221 R2: 0.0139 w_avg: [ 0.4178, 0.2784, 0.2892, ..., -0.0271, 0.0166, 0.0982]
INFO:root:[0][558/2187] Loss_D: 0.2686 Loss_G: 4.5092 R1: 0.0244 R2: 0.0050 w_avg: [ 0.4186, 0.2785, 0.2895, ..., -0.0274, 0.0166, 0.0982]
INFO:root:[0][559/2187] Loss_D: 0.1599 Loss_G: 4.2459 R1: 0.0182 R2: 0.0126 w_avg: [ 0.4197, 0.2791, 0.2903, ..., -0.0273, 0.0168, 0.0988]
INFO:root:[0][560/2187] Loss_D: 0.0674 Loss_G: 4.2781 R1: 0.0208 R2: 0.0163 w_avg: [ 0.4204, 0.2795, 0.2903, ..., -0.0277, 0.0166, 0.0986]
INFO:root:[0][561/2187] Loss_D: 0.0961 Loss_G: 4.0933 R1: 0.0204 R2: 0.0169 w_avg: [ 0.4204, 0.2798, 0.2911, ..., -0.0278, 0.0168, 0.0990]
INFO:root:[0][562/2187] Loss_D: 0.0801 Loss_G: 3.9598 R1: 0.0191 R2: 0.0133 w_avg: [ 0.4209, 0.2800, 0.2911, ..., -0.0274, 0.0167, 0.1000]
INFO:root:[0][563/2187] Loss_D: 0.0534 Loss_G: 4.6643 R1: 0.0197 R2: 0.0104 w_avg: [ 0.4213, 0.2799, 0.2917, ..., -0.0275, 0.0164, 0.0999]
INFO:root:[0][564/2187] Loss_D: 0.1123 Loss_G: 4.4307 R1: 0.0207 R2: 0.0183 w_avg: [ 0.4215, 0.2804, 0.2915, ..., -0.0276, 0.0161, 0.1000]
INFO:root:[0][565/2187] Loss_D: 0.0707 Loss_G: 3.5908 R1: 0.0223 R2: 0.0179 w_avg: [ 0.4218, 0.2810, 0.2924, ..., -0.0277, 0.0162, 0.1000]
INFO:root:[0][566/2187] Loss_D: 0.1631 Loss_G: 4.7251 R1: 0.0218 R2: 0.0209 w_avg: [ 0.4223, 0.2817, 0.2925, ..., -0.0279, 0.0168, 0.0998]
INFO:root:[0][567/2187] Loss_D: 0.1047 Loss_G: 5.4741 R1: 0.0286 R2: 0.0143 w_avg: [ 0.4230, 0.2819, 0.2925, ..., -0.0280, 0.0165, 0.0998]
INFO:root:[0][568/2187] Loss_D: 0.0722 Loss_G: 4.5234 R1: 0.0226 R2: 0.0117 w_avg: [ 0.4231, 0.2820, 0.2927, ..., -0.0280, 0.0166, 0.0999]
INFO:root:[0][569/2187] Loss_D: 0.0849 Loss_G: 3.9290 R1: 0.0220 R2: 0.0207 w_avg: [ 0.4239, 0.2821, 0.2934, ..., -0.0281, 0.0166, 0.0996]
INFO:root:[0][570/2187] Loss_D: 0.0893 Loss_G: 4.1448 R1: 0.0211 R2: 0.0187 w_avg: [ 0.4238, 0.2825, 0.2937, ..., -0.0277, 0.0163, 0.0994]
INFO:root:[0][571/2187] Loss_D: 0.0609 Loss_G: 4.3876 R1: 0.0233 R2: 0.0166 w_avg: [ 0.4239, 0.2823, 0.2935, ..., -0.0279, 0.0168, 0.0994]
INFO:root:[0][572/2187] Loss_D: 0.0589 Loss_G: 4.5969 R1: 0.0209 R2: 0.0170 w_avg: [ 0.4246, 0.2830, 0.2940, ..., -0.0280, 0.0168, 0.0999]
INFO:root:[0][573/2187] Loss_D: 0.2511 Loss_G: 3.1588 R1: 0.0208 R2: 0.0155 w_avg: [ 0.4245, 0.2831, 0.2934, ..., -0.0279, 0.0171, 0.1001]
INFO:root:[0][574/2187] Loss_D: 0.1940 Loss_G: 4.9836 R1: 0.0341 R2: 0.0046 w_avg: [ 0.4261, 0.2835, 0.2939, ..., -0.0280, 0.0171, 0.1000]
INFO:root:[0][575/2187] Loss_D: 0.0949 Loss_G: 6.0318 R1: 0.0252 R2: 0.0053 w_avg: [ 0.4270, 0.2837, 0.2946, ..., -0.0280, 0.0172, 0.1000]
INFO:root:[0][576/2187] Loss_D: 0.0600 Loss_G: 5.9847 R1: 0.0231 R2: 0.0121 w_avg: [ 0.4265, 0.2842, 0.2944, ..., -0.0281, 0.0174, 0.1000]
INFO:root:[0][577/2187] Loss_D: 0.0535 Loss_G: 5.4009 R1: 0.0202 R2: 0.0160 w_avg: [ 0.4269, 0.2841, 0.2945, ..., -0.0283, 0.0179, 0.0997]
INFO:root:[0][578/2187] Loss_D: 0.0803 Loss_G: 5.7145 R1: 0.0205 R2: 0.0136 w_avg: [ 0.4271, 0.2846, 0.2948, ..., -0.0285, 0.0180, 0.0998]
INFO:root:[0][579/2187] Loss_D: 0.0994 Loss_G: 6.3652 R1: 0.0220 R2: 0.0146 w_avg: [ 0.4270, 0.2847, 0.2951, ..., -0.0289, 0.0179, 0.0997]
INFO:root:[0][580/2187] Loss_D: 0.0578 Loss_G: 5.4535 R1: 0.0221 R2: 0.0156 w_avg: [ 0.4273, 0.2854, 0.2953, ..., -0.0289, 0.0179, 0.1002]
INFO:root:[0][581/2187] Loss_D: 0.0604 Loss_G: 5.7884 R1: 0.0210 R2: 0.0163 w_avg: [ 0.4272, 0.2863, 0.2957, ..., -0.0284, 0.0179, 0.1003]
INFO:root:[0][582/2187] Loss_D: 0.0869 Loss_G: 6.6170 R1: 0.0213 R2: 0.0145 w_avg: [ 0.4266, 0.2864, 0.2954, ..., -0.0284, 0.0178, 0.1001]
INFO:root:[0][583/2187] Loss_D: 0.0866 Loss_G: 6.5001 R1: 0.0247 R2: 0.0297 w_avg: [ 0.4268, 0.2868, 0.2955, ..., -0.0286, 0.0177, 0.1003]
INFO:root:[0][584/2187] Loss_D: 0.2334 Loss_G: 3.4219 R1: 0.0287 R2: 0.0204 w_avg: [ 0.4275, 0.2871, 0.2961, ..., -0.0285, 0.0176, 0.1002]
INFO:root:[0][585/2187] Loss_D: 0.1256 Loss_G: 6.4315 R1: 0.0193 R2: 0.0041 w_avg: [ 0.4272, 0.2882, 0.2961, ..., -0.0282, 0.0172, 0.1006]
INFO:root:[0][586/2187] Loss_D: 0.0705 Loss_G: 4.8969 R1: 0.0239 R2: 0.0271 w_avg: [ 0.4279, 0.2884, 0.2965, ..., -0.0283, 0.0171, 0.1006]
INFO:root:[0][587/2187] Loss_D: 0.0442 Loss_G: 5.0834 R1: 0.0207 R2: 0.0114 w_avg: [ 0.4283, 0.2892, 0.2964, ..., -0.0284, 0.0170, 0.1010]
INFO:root:[0][588/2187] Loss_D: 0.1306 Loss_G: 6.0813 R1: 0.0234 R2: 0.0193 w_avg: [ 0.4286, 0.2889, 0.2960, ..., -0.0287, 0.0173, 0.1010]
INFO:root:[0][589/2187] Loss_D: 0.2014 Loss_G: 5.4516 R1: 0.0288 R2: 0.0188 w_avg: [ 0.4289, 0.2886, 0.2962, ..., -0.0284, 0.0179, 0.1010]
INFO:root:[0][590/2187] Loss_D: 0.4499 Loss_G: 2.6948 R1: 0.0300 R2: 0.0229 w_avg: [ 0.4288, 0.2885, 0.2959, ..., -0.0282, 0.0178, 0.1014]
INFO:root:[0][591/2187] Loss_D: 0.6680 Loss_G: 5.2750 R1: 0.0112 R2: 0.0024 w_avg: [ 0.4294, 0.2879, 0.2961, ..., -0.0284, 0.0181, 0.1013]
INFO:root:[0][592/2187] Loss_D: 0.1156 Loss_G: 5.7623 R1: 0.0203 R2: 0.0162 w_avg: [ 0.4301, 0.2884, 0.2966, ..., -0.0284, 0.0180, 0.1012]
INFO:root:[0][593/2187] Loss_D: 0.1568 Loss_G: 4.2881 R1: 0.0194 R2: 0.0174 w_avg: [ 0.4306, 0.2885, 0.2966, ..., -0.0284, 0.0183, 0.1013]
INFO:root:[0][594/2187] Loss_D: 0.0994 Loss_G: 4.5888 R1: 0.0157 R2: 0.0094 w_avg: [ 0.4306, 0.2889, 0.2970, ..., -0.0285, 0.0185, 0.1012]
INFO:root:[0][595/2187] Loss_D: 0.2384 Loss_G: 3.1793 R1: 0.0167 R2: 0.0145 w_avg: [ 0.4311, 0.2887, 0.2972, ..., -0.0287, 0.0185, 0.1014]
INFO:root:[0][596/2187] Loss_D: 0.0742 Loss_G: 4.1044 R1: 0.0157 R2: 0.0044 w_avg: [ 0.4330, 0.2886, 0.2977, ..., -0.0290, 0.0186, 0.1012]
INFO:root:[0][597/2187] Loss_D: 0.0381 Loss_G: 4.2119 R1: 0.0162 R2: 0.0083 w_avg: [ 0.4327, 0.2887, 0.2977, ..., -0.0288, 0.0188, 0.1014]
INFO:root:[0][598/2187] Loss_D: 0.1138 Loss_G: 4.3021 R1: 0.0187 R2: 0.0100 w_avg: [ 0.4330, 0.2896, 0.2979, ..., -0.0285, 0.0188, 0.1015]
INFO:root:[0][599/2187] Loss_D: 0.0591 Loss_G: 4.4601 R1: 0.0201 R2: 0.0146 w_avg: [ 0.4326, 0.2904, 0.2986, ..., -0.0288, 0.0186, 0.1017]
INFO:root:[0][600/2187] Loss_D: 0.1570 Loss_G: 3.6188 R1: 0.0228 R2: 0.0210 w_avg: [ 0.4330, 0.2904, 0.2990, ..., -0.0291, 0.0192, 0.1015]
INFO:root:[0][601/2187] Loss_D: 0.2240 Loss_G: 3.0539 R1: 0.0264 R2: 0.0082 w_avg: [ 0.4338, 0.2908, 0.2995, ..., -0.0289, 0.0192, 0.1016]
INFO:root:[0][602/2187] Loss_D: 0.0917 Loss_G: 4.0943 R1: 0.0203 R2: 0.0038 w_avg: [ 0.4346, 0.2907, 0.2994, ..., -0.0288, 0.0195, 0.1017]
INFO:root:[0][603/2187] Loss_D: 0.0695 Loss_G: 4.9178 R1: 0.0250 R2: 0.0107 w_avg: [ 0.4361, 0.2910, 0.3002, ..., -0.0288, 0.0195, 0.1014]
INFO:root:[0][604/2187] Loss_D: 0.0597 Loss_G: 4.3191 R1: 0.0224 R2: 0.0141 w_avg: [ 0.4355, 0.2912, 0.3001, ..., -0.0290, 0.0193, 0.1016]
INFO:root:[0][605/2187] Loss_D: 0.0807 Loss_G: 4.9034 R1: 0.0269 R2: 0.0174 w_avg: [ 0.4359, 0.2910, 0.3004, ..., -0.0289, 0.0201, 0.1015]
INFO:root:[0][606/2187] Loss_D: 0.0461 Loss_G: 4.6823 R1: 0.0214 R2: 0.0093 w_avg: [ 0.4360, 0.2908, 0.3004, ..., -0.0289, 0.0205, 0.1013]
INFO:root:[0][607/2187] Loss_D: 0.1481 Loss_G: 3.2120 R1: 0.0198 R2: 0.0232 w_avg: [ 0.4358, 0.2913, 0.3008, ..., -0.0292, 0.0205, 0.1017]
INFO:root:[0][608/2187] Loss_D: 0.1752 Loss_G: 4.2054 R1: 0.0208 R2: 0.0113 w_avg: [ 0.4358, 0.2910, 0.3014, ..., -0.0293, 0.0208, 0.1015]
INFO:root:[0][609/2187] Loss_D: 0.0742 Loss_G: 5.1280 R1: 0.0271 R2: 0.0145 w_avg: [ 0.4366, 0.2915, 0.3018, ..., -0.0294, 0.0206, 0.1019]
INFO:root:[0][610/2187] Loss_D: 0.1280 Loss_G: 5.2266 R1: 0.0239 R2: 0.0222 w_avg: [ 0.4365, 0.2916, 0.3019, ..., -0.0297, 0.0204, 0.1021]
INFO:root:[0][611/2187] Loss_D: 0.0967 Loss_G: 5.9267 R1: 0.0268 R2: 0.0142 w_avg: [ 0.4370, 0.2921, 0.3021, ..., -0.0298, 0.0205, 0.1026]
INFO:root:[0][612/2187] Loss_D: 0.0682 Loss_G: 5.9492 R1: 0.0215 R2: 0.0167 w_avg: [ 0.4371, 0.2922, 0.3021, ..., -0.0298, 0.0209, 0.1023]
INFO:root:[0][613/2187] Loss_D: 0.0808 Loss_G: 5.1597 R1: 0.0242 R2: 0.0152 w_avg: [ 0.4378, 0.2919, 0.3026, ..., -0.0300, 0.0209, 0.1022]
INFO:root:[0][614/2187] Loss_D: 0.1019 Loss_G: 5.6158 R1: 0.0236 R2: 0.0178 w_avg: [ 0.4382, 0.2921, 0.3021, ..., -0.0303, 0.0215, 0.1019]
INFO:root:[0][615/2187] Loss_D: 0.1155 Loss_G: 4.6558 R1: 0.0206 R2: 0.0353 w_avg: [ 0.4382, 0.2919, 0.3030, ..., -0.0304, 0.0214, 0.1017]
INFO:root:[0][616/2187] Loss_D: 0.0538 Loss_G: 4.4777 R1: 0.0201 R2: 0.0125 w_avg: [ 0.4382, 0.2922, 0.3028, ..., -0.0303, 0.0211, 0.1020]
INFO:root:[0][617/2187] Loss_D: 0.0970 Loss_G: 6.8358 R1: 0.0192 R2: 0.0095 w_avg: [ 0.4390, 0.2928, 0.3032, ..., -0.0299, 0.0209, 0.1024]
INFO:root:[0][618/2187] Loss_D: 0.3055 Loss_G: 6.6542 R1: 0.0304 R2: 0.0324 w_avg: [ 0.4393, 0.2931, 0.3033, ..., -0.0298, 0.0209, 0.1022]
INFO:root:[0][619/2187] Loss_D: 0.1657 Loss_G: 5.2309 R1: 0.0446 R2: 0.0118 w_avg: [ 0.4397, 0.2932, 0.3032, ..., -0.0297, 0.0212, 0.1028]
INFO:root:[0][620/2187] Loss_D: 0.9936 Loss_G: 3.3953 R1: 0.0176 R2: 0.0255 w_avg: [ 0.4399, 0.2928, 0.3028, ..., -0.0297, 0.0212, 0.1027]
INFO:root:[0][621/2187] Loss_D: 0.2843 Loss_G: 3.9502 R1: 0.0130 R2: 0.0046 w_avg: [ 0.4400, 0.2932, 0.3034, ..., -0.0296, 0.0211, 0.1031]
INFO:root:[0][622/2187] Loss_D: 0.2174 Loss_G: 3.6838 R1: 0.0140 R2: 0.0318 w_avg: [ 0.4406, 0.2936, 0.3035, ..., -0.0296, 0.0215, 0.1038]
INFO:root:[0][623/2187] Loss_D: 0.2207 Loss_G: 4.4546 R1: 0.0235 R2: 0.0128 w_avg: [ 0.4405, 0.2938, 0.3027, ..., -0.0293, 0.0213, 0.1042]
INFO:root:[0][624/2187] Loss_D: 0.1274 Loss_G: 3.8943 R1: 0.0131 R2: 0.0072 w_avg: [ 0.4409, 0.2947, 0.3031, ..., -0.0292, 0.0211, 0.1043]
INFO:root:[0][625/2187] Loss_D: 0.2265 Loss_G: 3.6851 R1: 0.0129 R2: 0.0130 w_avg: [ 0.4417, 0.2949, 0.3036, ..., -0.0293, 0.0212, 0.1045]
INFO:root:[0][626/2187] Loss_D: 0.0736 Loss_G: 4.2061 R1: 0.0195 R2: 0.0101 w_avg: [ 0.4416, 0.2947, 0.3035, ..., -0.0291, 0.0215, 0.1045]
INFO:root:[0][627/2187] Loss_D: 0.0939 Loss_G: 3.7297 R1: 0.0129 R2: 0.0147 w_avg: [ 0.4420, 0.2957, 0.3038, ..., -0.0293, 0.0214, 0.1045]
INFO:root:[0][628/2187] Loss_D: 0.0945 Loss_G: 4.4148 R1: 0.0154 R2: 0.0133 w_avg: [ 0.4425, 0.2966, 0.3039, ..., -0.0294, 0.0211, 0.1044]
INFO:root:[0][629/2187] Loss_D: 0.0632 Loss_G: 3.8269 R1: 0.0181 R2: 0.0129 w_avg: [ 0.4427, 0.2969, 0.3048, ..., -0.0294, 0.0211, 0.1040]
INFO:root:[0][630/2187] Loss_D: 0.0938 Loss_G: 4.3575 R1: 0.0213 R2: 0.0205 w_avg: [ 0.4428, 0.2971, 0.3044, ..., -0.0296, 0.0210, 0.1046]
INFO:root:[0][631/2187] Loss_D: 0.0924 Loss_G: 4.6064 R1: 0.0179 R2: 0.0170 w_avg: [ 0.4426, 0.2979, 0.3044, ..., -0.0298, 0.0210, 0.1045]
INFO:root:[0][632/2187] Loss_D: 0.0525 Loss_G: 5.1073 R1: 0.0220 R2: 0.0085 w_avg: [ 0.4427, 0.2986, 0.3040, ..., -0.0297, 0.0209, 0.1047]
INFO:root:[0][633/2187] Loss_D: 0.0940 Loss_G: 5.5532 R1: 0.0289 R2: 0.0094 w_avg: [ 0.4425, 0.2989, 0.3041, ..., -0.0298, 0.0208, 0.1046]
INFO:root:[0][634/2187] Loss_D: 0.1874 Loss_G: 5.2403 R1: 0.0211 R2: 0.0378 w_avg: [ 0.4428, 0.2997, 0.3046, ..., -0.0300, 0.0208, 0.1048]
INFO:root:[0][635/2187] Loss_D: 0.0968 Loss_G: 4.4004 R1: 0.0250 R2: 0.0162 w_avg: [ 0.4436, 0.3010, 0.3049, ..., -0.0302, 0.0206, 0.1050]
INFO:root:[0][636/2187] Loss_D: 0.1689 Loss_G: 4.3538 R1: 0.0199 R2: 0.0237 w_avg: [ 0.4446, 0.3018, 0.3047, ..., -0.0299, 0.0206, 0.1054]
INFO:root:[0][637/2187] Loss_D: 0.1123 Loss_G: 5.7291 R1: 0.0267 R2: 0.0125 w_avg: [ 0.4449, 0.3016, 0.3046, ..., -0.0298, 0.0204, 0.1053]
INFO:root:[0][638/2187] Loss_D: 0.0986 Loss_G: 4.7517 R1: 0.0212 R2: 0.0222 w_avg: [ 0.4442, 0.3014, 0.3041, ..., -0.0300, 0.0202, 0.1052]
INFO:root:[0][639/2187] Loss_D: 0.1058 Loss_G: 4.9163 R1: 0.0254 R2: 0.0267 w_avg: [ 0.4441, 0.3014, 0.3042, ..., -0.0297, 0.0201, 0.1052]
INFO:root:[0][640/2187] Loss_D: 0.0661 Loss_G: 5.3546 R1: 0.0159 R2: 0.0230 w_avg: [ 0.4437, 0.3016, 0.3045, ..., -0.0298, 0.0200, 0.1053]
INFO:root:[0][641/2187] Loss_D: 0.0828 Loss_G: 4.5868 R1: 0.0220 R2: 0.0227 w_avg: [ 0.4433, 0.3018, 0.3043, ..., -0.0295, 0.0198, 0.1058]
INFO:root:[0][642/2187] Loss_D: 0.0537 Loss_G: 4.1028 R1: 0.0177 R2: 0.0143 w_avg: [ 0.4438, 0.3028, 0.3053, ..., -0.0294, 0.0195, 0.1059]
INFO:root:[0][643/2187] Loss_D: 0.0566 Loss_G: 3.6308 R1: 0.0180 R2: 0.0235 w_avg: [ 0.4443, 0.3033, 0.3054, ..., -0.0294, 0.0198, 0.1063]
INFO:root:[0][644/2187] Loss_D: 0.1330 Loss_G: 4.4482 R1: 0.0176 R2: 0.0186 w_avg: [ 0.4445, 0.3034, 0.3057, ..., -0.0295, 0.0195, 0.1062]
INFO:root:[0][645/2187] Loss_D: 0.0837 Loss_G: 4.8766 R1: 0.0161 R2: 0.0168 w_avg: [ 0.4444, 0.3032, 0.3055, ..., -0.0298, 0.0193, 0.1066]
INFO:root:[0][646/2187] Loss_D: 0.0750 Loss_G: 5.5145 R1: 0.0234 R2: 0.0151 w_avg: [ 0.4443, 0.3035, 0.3056, ..., -0.0300, 0.0194, 0.1068]
INFO:root:[0][647/2187] Loss_D: 0.1163 Loss_G: 3.6244 R1: 0.0175 R2: 0.0186 w_avg: [ 0.4448, 0.3033, 0.3057, ..., -0.0301, 0.0195, 0.1067]
INFO:root:[0][648/2187] Loss_D: 0.1754 Loss_G: 3.7937 R1: 0.0273 R2: 0.0188 w_avg: [ 0.4449, 0.3027, 0.3065, ..., -0.0303, 0.0195, 0.1068]
INFO:root:[0][649/2187] Loss_D: 0.0721 Loss_G: 3.6244 R1: 0.0205 R2: 0.0129 w_avg: [ 0.4451, 0.3030, 0.3069, ..., -0.0307, 0.0199, 0.1066]
INFO:root:[0][650/2187] Loss_D: 0.0664 Loss_G: 3.9114 R1: 0.0196 R2: 0.0150 w_avg: [ 0.4453, 0.3039, 0.3066, ..., -0.0306, 0.0195, 0.1071]
INFO:root:[0][651/2187] Loss_D: 0.1284 Loss_G: 4.7398 R1: 0.0210 R2: 0.0269 w_avg: [ 0.4456, 0.3037, 0.3068, ..., -0.0302, 0.0196, 0.1075]
INFO:root:[0][652/2187] Loss_D: 0.1085 Loss_G: 5.3423 R1: 0.0225 R2: 0.0185 w_avg: [ 0.4459, 0.3040, 0.3073, ..., -0.0303, 0.0197, 0.1084]
INFO:root:[0][653/2187] Loss_D: 0.1411 Loss_G: 4.3034 R1: 0.0209 R2: 0.0252 w_avg: [ 0.4463, 0.3042, 0.3077, ..., -0.0302, 0.0194, 0.1083]
INFO:root:[0][654/2187] Loss_D: 0.1724 Loss_G: 4.4589 R1: 0.0348 R2: 0.0188 w_avg: [ 0.4462, 0.3045, 0.3071, ..., -0.0302, 0.0194, 0.1086]
INFO:root:[0][655/2187] Loss_D: 0.1245 Loss_G: 4.2666 R1: 0.0177 R2: 0.0201 w_avg: [ 0.4470, 0.3051, 0.3071, ..., -0.0301, 0.0197, 0.1091]
INFO:root:[0][656/2187] Loss_D: 0.0990 Loss_G: 5.0818 R1: 0.0314 R2: 0.0113 w_avg: [ 0.4467, 0.3053, 0.3076, ..., -0.0301, 0.0200, 0.1091]
INFO:root:[0][657/2187] Loss_D: 0.0848 Loss_G: 4.8707 R1: 0.0198 R2: 0.0137 w_avg: [ 0.4467, 0.3056, 0.3079, ..., -0.0301, 0.0204, 0.1094]
INFO:root:[0][658/2187] Loss_D: 0.1084 Loss_G: 4.7532 R1: 0.0273 R2: 0.0133 w_avg: [ 0.4469, 0.3054, 0.3080, ..., -0.0303, 0.0206, 0.1094]
INFO:root:[0][659/2187] Loss_D: 0.1494 Loss_G: 3.6147 R1: 0.0190 R2: 0.0133 w_avg: [ 0.4471, 0.3053, 0.3088, ..., -0.0303, 0.0204, 0.1091]
INFO:root:[0][660/2187] Loss_D: 0.0618 Loss_G: 3.7569 R1: 0.0185 R2: 0.0226 w_avg: [ 0.4477, 0.3057, 0.3084, ..., -0.0305, 0.0204, 0.1098]
INFO:root:[0][661/2187] Loss_D: 0.1079 Loss_G: 5.1059 R1: 0.0207 R2: 0.0211 w_avg: [ 0.4478, 0.3060, 0.3084, ..., -0.0307, 0.0207, 0.1097]
INFO:root:[0][662/2187] Loss_D: 0.2735 Loss_G: 3.4639 R1: 0.0208 R2: 0.0329 w_avg: [ 0.4470, 0.3060, 0.3082, ..., -0.0306, 0.0203, 0.1096]
INFO:root:[0][663/2187] Loss_D: 0.2445 Loss_G: 4.6046 R1: 0.0241 R2: 0.0082 w_avg: [ 0.4475, 0.3060, 0.3081, ..., -0.0303, 0.0200, 0.1096]
INFO:root:[0][664/2187] Loss_D: 0.1537 Loss_G: 3.6340 R1: 0.0298 R2: 0.0244 w_avg: [ 0.4483, 0.3061, 0.3083, ..., -0.0302, 0.0201, 0.1097]
INFO:root:[0][665/2187] Loss_D: 0.1744 Loss_G: 3.3656 R1: 0.0190 R2: 0.0115 w_avg: [ 0.4482, 0.3059, 0.3089, ..., -0.0303, 0.0205, 0.1095]
INFO:root:[0][666/2187] Loss_D: 0.1523 Loss_G: 3.6253 R1: 0.0236 R2: 0.0168 w_avg: [ 0.4487, 0.3062, 0.3092, ..., -0.0303, 0.0206, 0.1098]
INFO:root:[0][667/2187] Loss_D: 0.1341 Loss_G: 4.0713 R1: 0.0325 R2: 0.0127 w_avg: [ 0.4496, 0.3066, 0.3099, ..., -0.0305, 0.0208, 0.1096]
INFO:root:[0][668/2187] Loss_D: 0.0547 Loss_G: 4.5602 R1: 0.0214 R2: 0.0104 w_avg: [ 0.4493, 0.3067, 0.3101, ..., -0.0308, 0.0210, 0.1098]
INFO:root:[0][669/2187] Loss_D: 0.1567 Loss_G: 4.2027 R1: 0.0184 R2: 0.0258 w_avg: [ 0.4497, 0.3065, 0.3109, ..., -0.0310, 0.0207, 0.1098]
INFO:root:[0][670/2187] Loss_D: 0.1004 Loss_G: 4.4177 R1: 0.0208 R2: 0.0132 w_avg: [ 0.4498, 0.3068, 0.3113, ..., -0.0308, 0.0208, 0.1099]
INFO:root:[0][671/2187] Loss_D: 0.1227 Loss_G: 3.9888 R1: 0.0179 R2: 0.0260 w_avg: [ 0.4506, 0.3073, 0.3116, ..., -0.0309, 0.0209, 0.1106]
INFO:root:[0][672/2187] Loss_D: 0.1293 Loss_G: 5.1901 R1: 0.0237 R2: 0.0165 w_avg: [ 0.4506, 0.3074, 0.3119, ..., -0.0311, 0.0208, 0.1103]
INFO:root:[0][673/2187] Loss_D: 0.1323 Loss_G: 4.2375 R1: 0.0183 R2: 0.0234 w_avg: [ 0.4516, 0.3077, 0.3123, ..., -0.0312, 0.0208, 0.1102]
INFO:root:[0][674/2187] Loss_D: 0.0731 Loss_G: 4.0214 R1: 0.0157 R2: 0.0178 w_avg: [ 0.4514, 0.3080, 0.3122, ..., -0.0315, 0.0206, 0.1106]
INFO:root:[0][675/2187] Loss_D: 0.1007 Loss_G: 4.7078 R1: 0.0191 R2: 0.0156 w_avg: [ 0.4515, 0.3092, 0.3129, ..., -0.0314, 0.0207, 0.1102]
INFO:root:[0][676/2187] Loss_D: 0.0938 Loss_G: 3.9478 R1: 0.0201 R2: 0.0176 w_avg: [ 0.4517, 0.3096, 0.3139, ..., -0.0313, 0.0207, 0.1101]
INFO:root:[0][677/2187] Loss_D: 0.0822 Loss_G: 3.6997 R1: 0.0208 R2: 0.0182 w_avg: [ 0.4521, 0.3098, 0.3140, ..., -0.0312, 0.0207, 0.1098]
INFO:root:[0][678/2187] Loss_D: 0.0767 Loss_G: 4.2850 R1: 0.0201 R2: 0.0217 w_avg: [ 0.4526, 0.3103, 0.3139, ..., -0.0312, 0.0206, 0.1100]
INFO:root:[0][679/2187] Loss_D: 0.0767 Loss_G: 3.8106 R1: 0.0207 R2: 0.0247 w_avg: [ 0.4530, 0.3110, 0.3143, ..., -0.0314, 0.0204, 0.1097]
INFO:root:[0][680/2187] Loss_D: 0.1743 Loss_G: 2.6864 R1: 0.0208 R2: 0.0227 w_avg: [ 0.4534, 0.3113, 0.3144, ..., -0.0317, 0.0203, 0.1098]
INFO:root:[0][681/2187] Loss_D: 0.1514 Loss_G: 4.1125 R1: 0.0231 R2: 0.0067 w_avg: [ 0.4537, 0.3118, 0.3144, ..., -0.0319, 0.0199, 0.1096]
INFO:root:[0][682/2187] Loss_D: 0.1180 Loss_G: 3.9815 R1: 0.0222 R2: 0.0172 w_avg: [ 0.4543, 0.3124, 0.3144, ..., -0.0317, 0.0203, 0.1098]
INFO:root:[0][683/2187] Loss_D: 0.0568 Loss_G: 4.0100 R1: 0.0243 R2: 0.0098 w_avg: [ 0.4546, 0.3131, 0.3151, ..., -0.0318, 0.0201, 0.1108]
INFO:root:[0][684/2187] Loss_D: 0.0943 Loss_G: 4.1856 R1: 0.0200 R2: 0.0256 w_avg: [ 0.4547, 0.3137, 0.3154, ..., -0.0320, 0.0204, 0.1108]
INFO:root:[0][685/2187] Loss_D: 0.2406 Loss_G: 3.5944 R1: 0.0245 R2: 0.0205 w_avg: [ 0.4551, 0.3130, 0.3158, ..., -0.0322, 0.0205, 0.1111]
INFO:root:[0][686/2187] Loss_D: 0.1564 Loss_G: 4.8510 R1: 0.0263 R2: 0.0058 w_avg: [ 0.4545, 0.3133, 0.3161, ..., -0.0324, 0.0204, 0.1110]
INFO:root:[0][687/2187] Loss_D: 0.1093 Loss_G: 3.7431 R1: 0.0271 R2: 0.0223 w_avg: [ 0.4544, 0.3135, 0.3167, ..., -0.0326, 0.0210, 0.1109]
INFO:root:[0][688/2187] Loss_D: 0.0692 Loss_G: 4.0164 R1: 0.0248 R2: 0.0116 w_avg: [ 0.4545, 0.3134, 0.3167, ..., -0.0325, 0.0208, 0.1107]
INFO:root:[0][689/2187] Loss_D: 0.0831 Loss_G: 4.4392 R1: 0.0235 R2: 0.0244 w_avg: [ 0.4545, 0.3138, 0.3160, ..., -0.0327, 0.0207, 0.1108]
INFO:root:[0][690/2187] Loss_D: 0.1219 Loss_G: 4.9487 R1: 0.0217 R2: 0.0194 w_avg: [ 0.4548, 0.3137, 0.3163, ..., -0.0330, 0.0208, 0.1107]
INFO:root:[0][691/2187] Loss_D: 0.0591 Loss_G: 4.9333 R1: 0.0189 R2: 0.0212 w_avg: [ 0.4554, 0.3134, 0.3160, ..., -0.0329, 0.0212, 0.1108]
INFO:root:[0][692/2187] Loss_D: 0.0439 Loss_G: 5.2492 R1: 0.0204 R2: 0.0117 w_avg: [ 0.4554, 0.3136, 0.3159, ..., -0.0331, 0.0213, 0.1109]
INFO:root:[0][693/2187] Loss_D: 0.0777 Loss_G: 4.3570 R1: 0.0237 R2: 0.0250 w_avg: [ 0.4551, 0.3133, 0.3156, ..., -0.0333, 0.0216, 0.1106]
INFO:root:[0][694/2187] Loss_D: 0.0982 Loss_G: 3.8727 R1: 0.0206 R2: 0.0197 w_avg: [ 0.4545, 0.3138, 0.3156, ..., -0.0335, 0.0212, 0.1108]
INFO:root:[0][695/2187] Loss_D: 0.0867 Loss_G: 4.1195 R1: 0.0225 R2: 0.0227 w_avg: [ 0.4552, 0.3139, 0.3158, ..., -0.0331, 0.0214, 0.1109]
INFO:root:[0][696/2187] Loss_D: 0.1022 Loss_G: 4.8279 R1: 0.0207 R2: 0.0231 w_avg: [ 0.4554, 0.3149, 0.3159, ..., -0.0333, 0.0211, 0.1109]
INFO:root:[0][697/2187] Loss_D: 0.0610 Loss_G: 4.2243 R1: 0.0214 R2: 0.0192 w_avg: [ 0.4556, 0.3154, 0.3158, ..., -0.0334, 0.0213, 0.1106]
INFO:root:[0][698/2187] Loss_D: 0.0891 Loss_G: 4.8177 R1: 0.0228 R2: 0.0202 w_avg: [ 0.4557, 0.3152, 0.3157, ..., -0.0335, 0.0212, 0.1110]
INFO:root:[0][699/2187] Loss_D: 0.0771 Loss_G: 4.9274 R1: 0.0189 R2: 0.0274 w_avg: [ 0.4565, 0.3152, 0.3155, ..., -0.0333, 0.0217, 0.1112]
INFO:root:[0][700/2187] Loss_D: 0.1103 Loss_G: 3.9955 R1: 0.0235 R2: 0.0229 w_avg: [ 0.4573, 0.3153, 0.3155, ..., -0.0332, 0.0222, 0.1109]
INFO:root:[0][701/2187] Loss_D: 0.1184 Loss_G: 4.5948 R1: 0.0204 R2: 0.0190 w_avg: [ 0.4574, 0.3152, 0.3159, ..., -0.0335, 0.0228, 0.1110]
INFO:root:[0][702/2187] Loss_D: 0.0756 Loss_G: 4.2211 R1: 0.0239 R2: 0.0150 w_avg: [ 0.4578, 0.3156, 0.3166, ..., -0.0334, 0.0227, 0.1112]
INFO:root:[0][703/2187] Loss_D: 0.1612 Loss_G: 3.3143 R1: 0.0193 R2: 0.0248 w_avg: [ 0.4580, 0.3158, 0.3172, ..., -0.0336, 0.0229, 0.1113]
INFO:root:[0][704/2187] Loss_D: 0.1491 Loss_G: 4.2133 R1: 0.0176 R2: 0.0046 w_avg: [ 0.4576, 0.3156, 0.3169, ..., -0.0335, 0.0228, 0.1113]
INFO:root:[0][705/2187] Loss_D: 0.0903 Loss_G: 4.3882 R1: 0.0199 R2: 0.0231 w_avg: [ 0.4578, 0.3160, 0.3182, ..., -0.0337, 0.0225, 0.1116]
INFO:root:[0][706/2187] Loss_D: 0.0824 Loss_G: 4.6926 R1: 0.0222 R2: 0.0193 w_avg: [ 0.4576, 0.3173, 0.3186, ..., -0.0338, 0.0225, 0.1121]
INFO:root:[0][707/2187] Loss_D: 0.0585 Loss_G: 4.4121 R1: 0.0208 R2: 0.0131 w_avg: [ 0.4576, 0.3176, 0.3185, ..., -0.0337, 0.0225, 0.1118]
INFO:root:[0][708/2187] Loss_D: 0.0984 Loss_G: 4.0202 R1: 0.0228 R2: 0.0178 w_avg: [ 0.4579, 0.3179, 0.3185, ..., -0.0338, 0.0223, 0.1118]
INFO:root:[0][709/2187] Loss_D: 0.0958 Loss_G: 3.9801 R1: 0.0256 R2: 0.0184 w_avg: [ 0.4585, 0.3179, 0.3191, ..., -0.0340, 0.0223, 0.1114]
INFO:root:[0][710/2187] Loss_D: 0.0769 Loss_G: 3.7024 R1: 0.0229 R2: 0.0224 w_avg: [ 0.4589, 0.3185, 0.3194, ..., -0.0341, 0.0222, 0.1112]
INFO:root:[0][711/2187] Loss_D: 0.1263 Loss_G: 3.9186 R1: 0.0235 R2: 0.0297 w_avg: [ 0.4581, 0.3184, 0.3191, ..., -0.0342, 0.0221, 0.1111]
INFO:root:[0][712/2187] Loss_D: 0.1978 Loss_G: 6.0553 R1: 0.0261 R2: 0.0135 w_avg: [ 0.4590, 0.3183, 0.3191, ..., -0.0339, 0.0221, 0.1118]
INFO:root:[0][713/2187] Loss_D: 0.2591 Loss_G: 6.3064 R1: 0.0228 R2: 0.0344 w_avg: [ 0.4597, 0.3181, 0.3194, ..., -0.0340, 0.0220, 0.1119]
INFO:root:[0][714/2187] Loss_D: 0.1729 Loss_G: 5.0617 R1: 0.0294 R2: 0.0317 w_avg: [ 0.4612, 0.3183, 0.3195, ..., -0.0342, 0.0220, 0.1123]
INFO:root:[0][715/2187] Loss_D: 0.1388 Loss_G: 3.8183 R1: 0.0237 R2: 0.0313 w_avg: [ 0.4612, 0.3183, 0.3193, ..., -0.0343, 0.0222, 0.1128]
INFO:root:[0][716/2187] Loss_D: 0.1389 Loss_G: 4.6418 R1: 0.0253 R2: 0.0213 w_avg: [ 0.4624, 0.3191, 0.3201, ..., -0.0345, 0.0221, 0.1127]
INFO:root:[0][717/2187] Loss_D: 0.1225 Loss_G: 4.2566 R1: 0.0249 R2: 0.0219 w_avg: [ 0.4629, 0.3188, 0.3203, ..., -0.0346, 0.0220, 0.1127]
INFO:root:[0][718/2187] Loss_D: 0.0756 Loss_G: 3.5502 R1: 0.0179 R2: 0.0234 w_avg: [ 0.4636, 0.3195, 0.3201, ..., -0.0346, 0.0218, 0.1129]
INFO:root:[0][719/2187] Loss_D: 0.0953 Loss_G: 4.1266 R1: 0.0192 R2: 0.0267 w_avg: [ 0.4633, 0.3200, 0.3203, ..., -0.0348, 0.0220, 0.1127]
INFO:root:[0][720/2187] Loss_D: 0.1850 Loss_G: 3.6575 R1: 0.0216 R2: 0.0204 w_avg: [ 0.4634, 0.3202, 0.3209, ..., -0.0351, 0.0218, 0.1133]
INFO:root:[0][721/2187] Loss_D: 0.0803 Loss_G: 3.7205 R1: 0.0321 R2: 0.0055 w_avg: [ 0.4636, 0.3209, 0.3214, ..., -0.0350, 0.0218, 0.1132]
INFO:root:[0][722/2187] Loss_D: 0.1614 Loss_G: 4.1918 R1: 0.0270 R2: 0.0227 w_avg: [ 0.4636, 0.3213, 0.3210, ..., -0.0351, 0.0214, 0.1138]
INFO:root:[0][723/2187] Loss_D: 0.0878 Loss_G: 3.4256 R1: 0.0167 R2: 0.0163 w_avg: [ 0.4628, 0.3210, 0.3213, ..., -0.0352, 0.0215, 0.1140]
INFO:root:[0][724/2187] Loss_D: 0.2239 Loss_G: 3.6350 R1: 0.0211 R2: 0.0154 w_avg: [ 0.4634, 0.3208, 0.3215, ..., -0.0355, 0.0217, 0.1143]
INFO:root:[0][725/2187] Loss_D: 0.1214 Loss_G: 3.6639 R1: 0.0197 R2: 0.0193 w_avg: [ 0.4631, 0.3208, 0.3208, ..., -0.0354, 0.0215, 0.1146]
INFO:root:[0][726/2187] Loss_D: 0.1353 Loss_G: 4.4399 R1: 0.0251 R2: 0.0205 w_avg: [ 0.4633, 0.3208, 0.3207, ..., -0.0353, 0.0219, 0.1146]
INFO:root:[0][727/2187] Loss_D: 0.1041 Loss_G: 3.7619 R1: 0.0243 R2: 0.0152 w_avg: [ 0.4634, 0.3214, 0.3210, ..., -0.0354, 0.0220, 0.1149]
INFO:root:[0][728/2187] Loss_D: 0.1158 Loss_G: 3.5853 R1: 0.0250 R2: 0.0205 w_avg: [ 0.4637, 0.3214, 0.3205, ..., -0.0357, 0.0220, 0.1151]
INFO:root:[0][729/2187] Loss_D: 0.1138 Loss_G: 4.0566 R1: 0.0237 R2: 0.0176 w_avg: [ 0.4643, 0.3216, 0.3211, ..., -0.0358, 0.0217, 0.1155]
INFO:root:[0][730/2187] Loss_D: 0.0926 Loss_G: 4.0838 R1: 0.0231 R2: 0.0184 w_avg: [ 0.4645, 0.3218, 0.3212, ..., -0.0359, 0.0218, 0.1152]
INFO:root:[0][731/2187] Loss_D: 0.0870 Loss_G: 4.0708 R1: 0.0212 R2: 0.0308 w_avg: [ 0.4648, 0.3220, 0.3216, ..., -0.0360, 0.0218, 0.1152]
INFO:root:[0][732/2187] Loss_D: 0.0730 Loss_G: 4.2141 R1: 0.0203 R2: 0.0205 w_avg: [ 0.4665, 0.3224, 0.3217, ..., -0.0359, 0.0220, 0.1153]
INFO:root:[0][733/2187] Loss_D: 0.0806 Loss_G: 3.9645 R1: 0.0209 R2: 0.0247 w_avg: [ 0.4670, 0.3227, 0.3218, ..., -0.0358, 0.0221, 0.1156]
INFO:root:[0][734/2187] Loss_D: 0.0687 Loss_G: 3.4339 R1: 0.0207 R2: 0.0183 w_avg: [ 0.4671, 0.3226, 0.3222, ..., -0.0357, 0.0224, 0.1154]
INFO:root:[0][735/2187] Loss_D: 0.0810 Loss_G: 3.6705 R1: 0.0230 R2: 0.0203 w_avg: [ 0.4674, 0.3233, 0.3224, ..., -0.0357, 0.0224, 0.1150]
INFO:root:[0][736/2187] Loss_D: 0.1036 Loss_G: 3.3845 R1: 0.0236 R2: 0.0200 w_avg: [ 0.4671, 0.3229, 0.3227, ..., -0.0358, 0.0225, 0.1152]
INFO:root:[0][737/2187] Loss_D: 0.1449 Loss_G: 4.5402 R1: 0.0276 R2: 0.0166 w_avg: [ 0.4676, 0.3235, 0.3230, ..., -0.0359, 0.0224, 0.1153]
INFO:root:[0][738/2187] Loss_D: 0.0959 Loss_G: 3.6298 R1: 0.0267 R2: 0.0190 w_avg: [ 0.4672, 0.3235, 0.3237, ..., -0.0358, 0.0226, 0.1151]
INFO:root:[0][739/2187] Loss_D: 0.1267 Loss_G: 4.3866 R1: 0.0263 R2: 0.0115 w_avg: [ 0.4683, 0.3245, 0.3239, ..., -0.0357, 0.0226, 0.1150]
INFO:root:[0][740/2187] Loss_D: 0.1502 Loss_G: 4.1152 R1: 0.0223 R2: 0.0358 w_avg: [ 0.4681, 0.3249, 0.3248, ..., -0.0356, 0.0225, 0.1153]
INFO:root:[0][741/2187] Loss_D: 0.1670 Loss_G: 3.9077 R1: 0.0291 R2: 0.0180 w_avg: [ 0.4686, 0.3251, 0.3247, ..., -0.0357, 0.0225, 0.1150]
INFO:root:[0][742/2187] Loss_D: 0.0897 Loss_G: 5.6193 R1: 0.0381 R2: 0.0174 w_avg: [ 0.4687, 0.3256, 0.3246, ..., -0.0352, 0.0224, 0.1149]
INFO:root:[0][743/2187] Loss_D: 0.0913 Loss_G: 5.9751 R1: 0.0312 R2: 0.0360 w_avg: [ 0.4688, 0.3256, 0.3249, ..., -0.0350, 0.0228, 0.1151]
INFO:root:[0][744/2187] Loss_D: 0.0977 Loss_G: 3.7880 R1: 0.0268 R2: 0.0273 w_avg: [ 0.4688, 0.3259, 0.3251, ..., -0.0350, 0.0226, 0.1153]
INFO:root:[0][745/2187] Loss_D: 0.1096 Loss_G: 4.3066 R1: 0.0250 R2: 0.0308 w_avg: [ 0.4685, 0.3258, 0.3252, ..., -0.0352, 0.0226, 0.1151]
INFO:root:[0][746/2187] Loss_D: 0.2677 Loss_G: 2.1855 R1: 0.0255 R2: 0.0245 w_avg: [ 0.4687, 0.3258, 0.3259, ..., -0.0354, 0.0226, 0.1151]
INFO:root:[0][747/2187] Loss_D: 0.3202 Loss_G: 5.0911 R1: 0.0223 R2: 0.0018 w_avg: [ 0.4693, 0.3261, 0.3258, ..., -0.0355, 0.0227, 0.1151]
INFO:root:[0][748/2187] Loss_D: 0.0708 Loss_G: 5.2945 R1: 0.0249 R2: 0.0211 w_avg: [ 0.4698, 0.3256, 0.3259, ..., -0.0354, 0.0232, 0.1152]
INFO:root:[0][749/2187] Loss_D: 0.2175 Loss_G: 4.9103 R1: 0.0267 R2: 0.0203 w_avg: [ 0.4697, 0.3252, 0.3263, ..., -0.0356, 0.0237, 0.1154]
INFO:root:[0][750/2187] Loss_D: 0.2337 Loss_G: 4.0553 R1: 0.0194 R2: 0.0369 w_avg: [ 0.4701, 0.3254, 0.3265, ..., -0.0356, 0.0236, 0.1154]
INFO:root:[0][751/2187] Loss_D: 0.1082 Loss_G: 3.9163 R1: 0.0193 R2: 0.0139 w_avg: [ 0.4703, 0.3261, 0.3268, ..., -0.0355, 0.0234, 0.1153]
INFO:root:[0][752/2187] Loss_D: 0.0982 Loss_G: 4.3408 R1: 0.0217 R2: 0.0113 w_avg: [ 0.4703, 0.3272, 0.3271, ..., -0.0359, 0.0236, 0.1153]
INFO:root:[0][753/2187] Loss_D: 0.1170 Loss_G: 4.6445 R1: 0.0210 R2: 0.0165 w_avg: [ 0.4703, 0.3270, 0.3271, ..., -0.0358, 0.0234, 0.1155]
INFO:root:[0][754/2187] Loss_D: 0.2221 Loss_G: 5.0722 R1: 0.0243 R2: 0.0164 w_avg: [ 0.4713, 0.3276, 0.3279, ..., -0.0360, 0.0235, 0.1159]
INFO:root:[0][755/2187] Loss_D: 0.1499 Loss_G: 5.2334 R1: 0.0178 R2: 0.0209 w_avg: [ 0.4711, 0.3275, 0.3273, ..., -0.0362, 0.0236, 0.1163]
INFO:root:[0][756/2187] Loss_D: 0.0555 Loss_G: 5.2308 R1: 0.0190 R2: 0.0179 w_avg: [ 0.4713, 0.3278, 0.3278, ..., -0.0362, 0.0236, 0.1164]
INFO:root:[0][757/2187] Loss_D: 0.1697 Loss_G: 4.0549 R1: 0.0245 R2: 0.0225 w_avg: [ 0.4718, 0.3279, 0.3277, ..., -0.0361, 0.0236, 0.1166]
INFO:root:[0][758/2187] Loss_D: 0.1240 Loss_G: 4.9340 R1: 0.0237 R2: 0.0227 w_avg: [ 0.4715, 0.3282, 0.3280, ..., -0.0358, 0.0236, 0.1165]
INFO:root:[0][759/2187] Loss_D: 0.1104 Loss_G: 3.9208 R1: 0.0232 R2: 0.0186 w_avg: [ 0.4716, 0.3280, 0.3283, ..., -0.0362, 0.0237, 0.1168]
INFO:root:[0][760/2187] Loss_D: 0.1150 Loss_G: 3.8243 R1: 0.0214 R2: 0.0206 w_avg: [ 0.4719, 0.3282, 0.3286, ..., -0.0364, 0.0235, 0.1168]
INFO:root:[0][761/2187] Loss_D: 0.0753 Loss_G: 4.7599 R1: 0.0270 R2: 0.0189 w_avg: [ 0.4714, 0.3277, 0.3286, ..., -0.0365, 0.0233, 0.1166]
INFO:root:[0][762/2187] Loss_D: 0.0914 Loss_G: 4.6501 R1: 0.0291 R2: 0.0196 w_avg: [ 0.4715, 0.3279, 0.3290, ..., -0.0367, 0.0237, 0.1170]
INFO:root:[0][763/2187] Loss_D: 0.1461 Loss_G: 4.3441 R1: 0.0244 R2: 0.0146 w_avg: [ 0.4713, 0.3282, 0.3294, ..., -0.0367, 0.0236, 0.1171]
INFO:root:[0][764/2187] Loss_D: 0.0683 Loss_G: 4.9666 R1: 0.0252 R2: 0.0194 w_avg: [ 0.4714, 0.3286, 0.3294, ..., -0.0370, 0.0239, 0.1174]
INFO:root:[0][765/2187] Loss_D: 0.0790 Loss_G: 3.5998 R1: 0.0235 R2: 0.0313 w_avg: [ 0.4709, 0.3288, 0.3294, ..., -0.0371, 0.0238, 0.1174]
INFO:root:[0][766/2187] Loss_D: 0.0902 Loss_G: 3.9512 R1: 0.0238 R2: 0.0165 w_avg: [ 0.4711, 0.3288, 0.3293, ..., -0.0372, 0.0235, 0.1176]
INFO:root:[0][767/2187] Loss_D: 0.1085 Loss_G: 4.4427 R1: 0.0315 R2: 0.0164 w_avg: [ 0.4705, 0.3291, 0.3292, ..., -0.0373, 0.0238, 0.1178]
INFO:root:[0][768/2187] Loss_D: 0.1566 Loss_G: 3.0598 R1: 0.0282 R2: 0.0189 w_avg: [ 0.4702, 0.3293, 0.3291, ..., -0.0374, 0.0237, 0.1184]
INFO:root:[0][769/2187] Loss_D: 0.1793 Loss_G: 3.8226 R1: 0.0259 R2: 0.0279 w_avg: [ 0.4708, 0.3295, 0.3296, ..., -0.0375, 0.0243, 0.1181]
INFO:root:[0][770/2187] Loss_D: 0.2868 Loss_G: 2.6748 R1: 0.0222 R2: 0.0261 w_avg: [ 0.4717, 0.3294, 0.3292, ..., -0.0377, 0.0246, 0.1183]
INFO:root:[0][771/2187] Loss_D: 0.1738 Loss_G: 5.5107 R1: 0.0296 R2: 0.0025 w_avg: [ 0.4714, 0.3304, 0.3291, ..., -0.0369, 0.0243, 0.1185]
INFO:root:[0][772/2187] Loss_D: 0.1079 Loss_G: 4.6454 R1: 0.0266 R2: 0.0190 w_avg: [ 0.4728, 0.3315, 0.3300, ..., -0.0372, 0.0243, 0.1189]
INFO:root:[0][773/2187] Loss_D: 0.2692 Loss_G: 5.0977 R1: 0.0175 R2: 0.0211 w_avg: [ 0.4734, 0.3315, 0.3304, ..., -0.0371, 0.0246, 0.1187]
INFO:root:[0][774/2187] Loss_D: 0.1014 Loss_G: 4.9022 R1: 0.0261 R2: 0.0201 w_avg: [ 0.4734, 0.3315, 0.3304, ..., -0.0370, 0.0247, 0.1185]
INFO:root:[0][775/2187] Loss_D: 0.1023 Loss_G: 3.9780 R1: 0.0211 R2: 0.0272 w_avg: [ 0.4736, 0.3317, 0.3304, ..., -0.0368, 0.0247, 0.1181]
INFO:root:[0][776/2187] Loss_D: 0.0970 Loss_G: 4.6929 R1: 0.0231 R2: 0.0250 w_avg: [ 0.4741, 0.3317, 0.3308, ..., -0.0369, 0.0247, 0.1181]
INFO:root:[0][777/2187] Loss_D: 0.0835 Loss_G: 3.4419 R1: 0.0184 R2: 0.0304 w_avg: [ 0.4741, 0.3321, 0.3304, ..., -0.0368, 0.0250, 0.1181]
INFO:root:[0][778/2187] Loss_D: 0.1901 Loss_G: 4.4441 R1: 0.0242 R2: 0.0262 w_avg: [ 0.4738, 0.3317, 0.3305, ..., -0.0371, 0.0250, 0.1180]
INFO:root:[0][779/2187] Loss_D: 0.3948 Loss_G: 2.9513 R1: 0.0317 R2: 0.0249 w_avg: [ 0.4746, 0.3318, 0.3302, ..., -0.0371, 0.0250, 0.1182]
INFO:root:[0][780/2187] Loss_D: 0.7684 Loss_G: 2.7986 R1: 0.0384 R2: 0.0150 w_avg: [ 0.4744, 0.3318, 0.3297, ..., -0.0372, 0.0250, 0.1181]
INFO:root:[0][781/2187] Loss_D: 0.2726 Loss_G: 3.2889 R1: 0.0261 R2: 0.0149 w_avg: [ 0.4747, 0.3321, 0.3303, ..., -0.0373, 0.0248, 0.1182]
INFO:root:[0][782/2187] Loss_D: 0.1935 Loss_G: 3.3671 R1: 0.0292 R2: 0.0159 w_avg: [ 0.4752, 0.3323, 0.3309, ..., -0.0375, 0.0246, 0.1182]
INFO:root:[0][783/2187] Loss_D: 0.2337 Loss_G: 3.4558 R1: 0.0261 R2: 0.0155 w_avg: [ 0.4746, 0.3323, 0.3314, ..., -0.0375, 0.0244, 0.1178]
INFO:root:[0][784/2187] Loss_D: 0.1325 Loss_G: 4.0200 R1: 0.0234 R2: 0.0117 w_avg: [ 0.4746, 0.3325, 0.3314, ..., -0.0376, 0.0242, 0.1180]
INFO:root:[0][785/2187] Loss_D: 0.0820 Loss_G: 3.8391 R1: 0.0291 R2: 0.0165 w_avg: [ 0.4755, 0.3333, 0.3318, ..., -0.0374, 0.0240, 0.1183]
INFO:root:[0][786/2187] Loss_D: 0.1819 Loss_G: 4.5017 R1: 0.0345 R2: 0.0266 w_avg: [ 0.4752, 0.3338, 0.3317, ..., -0.0376, 0.0240, 0.1181]
INFO:root:[0][787/2187] Loss_D: 0.1200 Loss_G: 3.4085 R1: 0.0309 R2: 0.0163 w_avg: [ 0.4752, 0.3332, 0.3314, ..., -0.0376, 0.0242, 0.1178]
INFO:root:[0][788/2187] Loss_D: 0.1588 Loss_G: 3.4313 R1: 0.0303 R2: 0.0199 w_avg: [ 0.4755, 0.3333, 0.3313, ..., -0.0377, 0.0244, 0.1177]
INFO:root:[0][789/2187] Loss_D: 0.1377 Loss_G: 4.1861 R1: 0.0367 R2: 0.0208 w_avg: [ 0.4766, 0.3336, 0.3324, ..., -0.0378, 0.0244, 0.1186]
INFO:root:[0][790/2187] Loss_D: 0.1132 Loss_G: 3.7276 R1: 0.0318 R2: 0.0278 w_avg: [ 0.4765, 0.3336, 0.3328, ..., -0.0379, 0.0243, 0.1187]
INFO:root:[0][791/2187] Loss_D: 0.1444 Loss_G: 4.2847 R1: 0.0359 R2: 0.0291 w_avg: [ 0.4768, 0.3337, 0.3330, ..., -0.0381, 0.0242, 0.1187]
INFO:root:[0][792/2187] Loss_D: 0.1458 Loss_G: 3.5409 R1: 0.0244 R2: 0.0252 w_avg: [ 0.4772, 0.3339, 0.3331, ..., -0.0382, 0.0241, 0.1189]
INFO:root:[0][793/2187] Loss_D: 0.0842 Loss_G: 3.2789 R1: 0.0278 R2: 0.0119 w_avg: [ 0.4772, 0.3343, 0.3333, ..., -0.0379, 0.0244, 0.1192]
INFO:root:[0][794/2187] Loss_D: 0.1153 Loss_G: 3.9290 R1: 0.0270 R2: 0.0221 w_avg: [ 0.4776, 0.3346, 0.3333, ..., -0.0383, 0.0246, 0.1194]
INFO:root:[0][795/2187] Loss_D: 0.1418 Loss_G: 3.7462 R1: 0.0315 R2: 0.0258 w_avg: [ 0.4771, 0.3346, 0.3331, ..., -0.0384, 0.0245, 0.1193]
INFO:root:[0][796/2187] Loss_D: 0.1189 Loss_G: 4.0748 R1: 0.0320 R2: 0.0285 w_avg: [ 0.4776, 0.3348, 0.3338, ..., -0.0385, 0.0242, 0.1196]
INFO:root:[0][797/2187] Loss_D: 0.2059 Loss_G: 3.4244 R1: 0.0321 R2: 0.0272 w_avg: [ 0.4779, 0.3343, 0.3339, ..., -0.0387, 0.0240, 0.1196]
INFO:root:[0][798/2187] Loss_D: 0.2030 Loss_G: 4.0872 R1: 0.0296 R2: 0.0142 w_avg: [ 0.4780, 0.3347, 0.3338, ..., -0.0389, 0.0237, 0.1202]
INFO:root:[0][799/2187] Loss_D: 0.3187 Loss_G: 3.1522 R1: 0.0367 R2: 0.0266 w_avg: [ 0.4783, 0.3352, 0.3339, ..., -0.0390, 0.0237, 0.1203]
INFO:root:[0][800/2187] Loss_D: 0.1409 Loss_G: 3.1122 R1: 0.0300 R2: 0.0036 w_avg: [ 0.4779, 0.3355, 0.3338, ..., -0.0389, 0.0235, 0.1207]
INFO:root:[0][801/2187] Loss_D: 0.3252 Loss_G: 2.9711 R1: 0.0240 R2: 0.0152 w_avg: [ 0.4785, 0.3355, 0.3336, ..., -0.0390, 0.0237, 0.1209]
INFO:root:[0][802/2187] Loss_D: 0.2101 Loss_G: 4.6326 R1: 0.0252 R2: 0.0031 w_avg: [ 0.4787, 0.3358, 0.3338, ..., -0.0387, 0.0235, 0.1212]
INFO:root:[0][803/2187] Loss_D: 0.1385 Loss_G: 4.1479 R1: 0.0276 R2: 0.0203 w_avg: [ 0.4786, 0.3358, 0.3339, ..., -0.0385, 0.0233, 0.1212]
INFO:root:[0][804/2187] Loss_D: 0.1587 Loss_G: 4.1555 R1: 0.0233 R2: 0.0207 w_avg: [ 0.4791, 0.3367, 0.3340, ..., -0.0385, 0.0232, 0.1211]
INFO:root:[0][805/2187] Loss_D: 0.1184 Loss_G: 4.6725 R1: 0.0437 R2: 0.0115 w_avg: [ 0.4790, 0.3361, 0.3339, ..., -0.0386, 0.0232, 0.1219]
INFO:root:[0][806/2187] Loss_D: 0.1328 Loss_G: 4.5519 R1: 0.0373 R2: 0.0218 w_avg: [ 0.4786, 0.3368, 0.3341, ..., -0.0382, 0.0231, 0.1220]
INFO:root:[0][807/2187] Loss_D: 0.1301 Loss_G: 4.3909 R1: 0.0309 R2: 0.0219 w_avg: [ 0.4789, 0.3367, 0.3344, ..., -0.0382, 0.0234, 0.1217]
INFO:root:[0][808/2187] Loss_D: 0.1656 Loss_G: 4.7367 R1: 0.0307 R2: 0.0080 w_avg: [ 0.4795, 0.3370, 0.3344, ..., -0.0383, 0.0237, 0.1218]
INFO:root:[0][809/2187] Loss_D: 0.0833 Loss_G: 4.3469 R1: 0.0292 R2: 0.0271 w_avg: [ 0.4795, 0.3370, 0.3346, ..., -0.0384, 0.0235, 0.1218]
INFO:root:[0][810/2187] Loss_D: 0.1301 Loss_G: 4.6160 R1: 0.0269 R2: 0.0359 w_avg: [ 0.4795, 0.3372, 0.3344, ..., -0.0378, 0.0236, 0.1220]
INFO:root:[0][811/2187] Loss_D: 0.1320 Loss_G: 5.1145 R1: 0.0235 R2: 0.0296 w_avg: [ 0.4792, 0.3367, 0.3341, ..., -0.0376, 0.0235, 0.1220]
INFO:root:[0][812/2187] Loss_D: 0.1601 Loss_G: 3.7939 R1: 0.0279 R2: 0.0252 w_avg: [ 0.4794, 0.3367, 0.3341, ..., -0.0379, 0.0234, 0.1221]
INFO:root:[0][813/2187] Loss_D: 0.1275 Loss_G: 4.7836 R1: 0.0435 R2: 0.0186 w_avg: [ 0.4798, 0.3362, 0.3344, ..., -0.0380, 0.0237, 0.1221]
INFO:root:[0][814/2187] Loss_D: 0.1089 Loss_G: 4.5153 R1: 0.0319 R2: 0.0250 w_avg: [ 0.4797, 0.3367, 0.3342, ..., -0.0377, 0.0238, 0.1220]
INFO:root:[0][815/2187] Loss_D: 0.1205 Loss_G: 5.1288 R1: 0.0283 R2: 0.0339 w_avg: [ 0.4797, 0.3365, 0.3342, ..., -0.0378, 0.0239, 0.1220]
INFO:root:[0][816/2187] Loss_D: 0.1745 Loss_G: 3.8068 R1: 0.0315 R2: 0.0326 w_avg: [ 0.4803, 0.3361, 0.3343, ..., -0.0379, 0.0238, 0.1219]
INFO:root:[0][817/2187] Loss_D: 0.2001 Loss_G: 3.0501 R1: 0.0298 R2: 0.0264 w_avg: [ 0.4804, 0.3367, 0.3344, ..., -0.0383, 0.0240, 0.1220]
INFO:root:[0][818/2187] Loss_D: 0.1559 Loss_G: 2.8571 R1: 0.0255 R2: 0.0279 w_avg: [ 0.4806, 0.3367, 0.3344, ..., -0.0384, 0.0236, 0.1216]
INFO:root:[0][819/2187] Loss_D: 0.1232 Loss_G: 3.5992 R1: 0.0256 R2: 0.0152 w_avg: [ 0.4809, 0.3373, 0.3344, ..., -0.0384, 0.0235, 0.1217]
INFO:root:[0][820/2187] Loss_D: 0.1167 Loss_G: 4.1397 R1: 0.0222 R2: 0.0276 w_avg: [ 0.4814, 0.3372, 0.3347, ..., -0.0386, 0.0239, 0.1218]
INFO:root:[0][821/2187] Loss_D: 0.2083 Loss_G: 3.8676 R1: 0.0246 R2: 0.0238 w_avg: [ 0.4815, 0.3372, 0.3344, ..., -0.0389, 0.0239, 0.1221]
INFO:root:[0][822/2187] Loss_D: 0.1046 Loss_G: 3.5390 R1: 0.0288 R2: 0.0218 w_avg: [ 0.4814, 0.3377, 0.3345, ..., -0.0390, 0.0240, 0.1224]
INFO:root:[0][823/2187] Loss_D: 0.4284 Loss_G: 2.2028 R1: 0.0222 R2: 0.0258 w_avg: [ 0.4823, 0.3375, 0.3344, ..., -0.0392, 0.0239, 0.1228]
INFO:root:[0][824/2187] Loss_D: 0.2809 Loss_G: 3.7160 R1: 0.0217 R2: 0.0049 w_avg: [ 0.4827, 0.3378, 0.3346, ..., -0.0392, 0.0243, 0.1231]
INFO:root:[0][825/2187] Loss_D: 0.2834 Loss_G: 4.0601 R1: 0.0284 R2: 0.0268 w_avg: [ 0.4828, 0.3381, 0.3345, ..., -0.0391, 0.0240, 0.1235]
INFO:root:[0][826/2187] Loss_D: 0.4583 Loss_G: 3.2433 R1: 0.0302 R2: 0.0133 w_avg: [ 0.4833, 0.3381, 0.3344, ..., -0.0391, 0.0241, 0.1236]
INFO:root:[0][827/2187] Loss_D: 0.1275 Loss_G: 3.4620 R1: 0.0315 R2: 0.0144 w_avg: [ 0.4831, 0.3379, 0.3339, ..., -0.0393, 0.0242, 0.1233]
INFO:root:[0][828/2187] Loss_D: 0.1486 Loss_G: 4.4989 R1: 0.0324 R2: 0.0199 w_avg: [ 0.4829, 0.3376, 0.3338, ..., -0.0395, 0.0242, 0.1231]
INFO:root:[0][829/2187] Loss_D: 0.0802 Loss_G: 3.4652 R1: 0.0308 R2: 0.0190 w_avg: [ 0.4825, 0.3373, 0.3335, ..., -0.0398, 0.0244, 0.1232]
INFO:root:[0][830/2187] Loss_D: 0.1424 Loss_G: 3.9004 R1: 0.0320 R2: 0.0226 w_avg: [ 0.4830, 0.3378, 0.3336, ..., -0.0399, 0.0244, 0.1230]
INFO:root:[0][831/2187] Loss_D: 0.0865 Loss_G: 3.7816 R1: 0.0244 R2: 0.0209 w_avg: [ 0.4830, 0.3377, 0.3330, ..., -0.0399, 0.0243, 0.1232]
INFO:root:[0][832/2187] Loss_D: 0.1116 Loss_G: 3.1776 R1: 0.0319 R2: 0.0265 w_avg: [ 0.4825, 0.3377, 0.3326, ..., -0.0399, 0.0242, 0.1230]
INFO:root:[0][833/2187] Loss_D: 0.2370 Loss_G: 3.2481 R1: 0.0300 R2: 0.0248 w_avg: [ 0.4822, 0.3376, 0.3332, ..., -0.0395, 0.0244, 0.1230]
INFO:root:[0][834/2187] Loss_D: 0.1720 Loss_G: 3.8771 R1: 0.0257 R2: 0.0267 w_avg: [ 0.4820, 0.3384, 0.3330, ..., -0.0396, 0.0245, 0.1230]
INFO:root:[0][835/2187] Loss_D: 0.2367 Loss_G: 3.4813 R1: 0.0302 R2: 0.0316 w_avg: [ 0.4816, 0.3386, 0.3326, ..., -0.0398, 0.0243, 0.1229]
INFO:root:[0][836/2187] Loss_D: 0.0878 Loss_G: 3.6970 R1: 0.0253 R2: 0.0176 w_avg: [ 0.4827, 0.3398, 0.3327, ..., -0.0395, 0.0248, 0.1235]
INFO:root:[0][837/2187] Loss_D: 0.2261 Loss_G: 2.7051 R1: 0.0282 R2: 0.0235 w_avg: [ 0.4830, 0.3401, 0.3332, ..., -0.0396, 0.0250, 0.1235]
INFO:root:[0][838/2187] Loss_D: 0.1277 Loss_G: 3.9430 R1: 0.0270 R2: 0.0144 w_avg: [ 0.4829, 0.3400, 0.3331, ..., -0.0395, 0.0249, 0.1234]
INFO:root:[0][839/2187] Loss_D: 0.2528 Loss_G: 4.1033 R1: 0.0222 R2: 0.0181 w_avg: [ 0.4833, 0.3401, 0.3333, ..., -0.0395, 0.0249, 0.1236]
INFO:root:[0][840/2187] Loss_D: 0.1680 Loss_G: 3.4709 R1: 0.0273 R2: 0.0205 w_avg: [ 0.4832, 0.3400, 0.3331, ..., -0.0397, 0.0251, 0.1236]
INFO:root:[0][841/2187] Loss_D: 0.2610 Loss_G: 3.8179 R1: 0.0237 R2: 0.0241 w_avg: [ 0.4834, 0.3396, 0.3331, ..., -0.0397, 0.0254, 0.1237]
INFO:root:[0][842/2187] Loss_D: 0.1311 Loss_G: 4.7719 R1: 0.0457 R2: 0.0111 w_avg: [ 0.4838, 0.3399, 0.3333, ..., -0.0398, 0.0256, 0.1241]
INFO:root:[0][843/2187] Loss_D: 0.1497 Loss_G: 3.7895 R1: 0.0340 R2: 0.0443 w_avg: [ 0.4845, 0.3405, 0.3332, ..., -0.0399, 0.0260, 0.1242]
INFO:root:[0][844/2187] Loss_D: 0.1470 Loss_G: 4.2425 R1: 0.0376 R2: 0.0297 w_avg: [ 0.4847, 0.3405, 0.3328, ..., -0.0401, 0.0265, 0.1247]
INFO:root:[0][845/2187] Loss_D: 0.3206 Loss_G: 3.7775 R1: 0.0342 R2: 0.0320 w_avg: [ 0.4840, 0.3403, 0.3323, ..., -0.0404, 0.0265, 0.1248]
INFO:root:[0][846/2187] Loss_D: 0.2968 Loss_G: 3.9963 R1: 0.0301 R2: 0.0216 w_avg: [ 0.4842, 0.3406, 0.3328, ..., -0.0403, 0.0265, 0.1252]
INFO:root:[0][847/2187] Loss_D: 0.0971 Loss_G: 4.3395 R1: 0.0269 R2: 0.0084 w_avg: [ 0.4842, 0.3405, 0.3332, ..., -0.0403, 0.0269, 0.1247]
INFO:root:[0][848/2187] Loss_D: 0.1405 Loss_G: 4.1268 R1: 0.0311 R2: 0.0262 w_avg: [ 0.4837, 0.3412, 0.3327, ..., -0.0405, 0.0271, 0.1247]
INFO:root:[0][849/2187] Loss_D: 0.1641 Loss_G: 4.1586 R1: 0.0437 R2: 0.0246 w_avg: [ 0.4847, 0.3422, 0.3324, ..., -0.0406, 0.0272, 0.1247]
INFO:root:[0][850/2187] Loss_D: 0.1469 Loss_G: 4.2369 R1: 0.0332 R2: 0.0249 w_avg: [ 0.4845, 0.3427, 0.3324, ..., -0.0406, 0.0272, 0.1253]
INFO:root:[0][851/2187] Loss_D: 0.1629 Loss_G: 3.2533 R1: 0.0346 R2: 0.0243 w_avg: [ 0.4841, 0.3431, 0.3328, ..., -0.0405, 0.0268, 0.1252]
INFO:root:[0][852/2187] Loss_D: 0.1862 Loss_G: 3.9314 R1: 0.0364 R2: 0.0240 w_avg: [ 0.4853, 0.3437, 0.3338, ..., -0.0401, 0.0270, 0.1252]
INFO:root:[0][853/2187] Loss_D: 0.1333 Loss_G: 3.0127 R1: 0.0307 R2: 0.0288 w_avg: [ 0.4854, 0.3435, 0.3344, ..., -0.0403, 0.0269, 0.1257]
INFO:root:[0][854/2187] Loss_D: 0.1131 Loss_G: 3.8606 R1: 0.0371 R2: 0.0177 w_avg: [ 0.4852, 0.3434, 0.3345, ..., -0.0406, 0.0271, 0.1258]
INFO:root:[0][855/2187] Loss_D: 0.0865 Loss_G: 4.5112 R1: 0.0336 R2: 0.0185 w_avg: [ 0.4849, 0.3431, 0.3348, ..., -0.0405, 0.0269, 0.1262]
INFO:root:[0][856/2187] Loss_D: 0.1183 Loss_G: 3.8453 R1: 0.0289 R2: 0.0330 w_avg: [ 0.4843, 0.3428, 0.3347, ..., -0.0406, 0.0268, 0.1264]
INFO:root:[0][857/2187] Loss_D: 0.1243 Loss_G: 3.9403 R1: 0.0203 R2: 0.0266 w_avg: [ 0.4844, 0.3426, 0.3349, ..., -0.0406, 0.0267, 0.1261]
INFO:root:[0][858/2187] Loss_D: 0.1647 Loss_G: 4.3974 R1: 0.0250 R2: 0.0253 w_avg: [ 0.4841, 0.3428, 0.3350, ..., -0.0406, 0.0267, 0.1262]
INFO:root:[0][859/2187] Loss_D: 0.1173 Loss_G: 3.7281 R1: 0.0254 R2: 0.0249 w_avg: [ 0.4845, 0.3427, 0.3349, ..., -0.0405, 0.0270, 0.1261]
INFO:root:[0][860/2187] Loss_D: 0.1080 Loss_G: 3.2966 R1: 0.0196 R2: 0.0211 w_avg: [ 0.4842, 0.3423, 0.3346, ..., -0.0406, 0.0273, 0.1260]
INFO:root:[0][861/2187] Loss_D: 0.0853 Loss_G: 4.5731 R1: 0.0228 R2: 0.0212 w_avg: [ 0.4843, 0.3428, 0.3350, ..., -0.0404, 0.0271, 0.1261]
INFO:root:[0][862/2187] Loss_D: 0.1226 Loss_G: 4.0456 R1: 0.0211 R2: 0.0283 w_avg: [ 0.4845, 0.3430, 0.3348, ..., -0.0403, 0.0269, 0.1260]
INFO:root:[0][863/2187] Loss_D: 0.0779 Loss_G: 4.4471 R1: 0.0254 R2: 0.0226 w_avg: [ 0.4847, 0.3430, 0.3347, ..., -0.0402, 0.0270, 0.1259]
INFO:root:[0][864/2187] Loss_D: 0.2422 Loss_G: 3.7728 R1: 0.0232 R2: 0.0274 w_avg: [ 0.4844, 0.3431, 0.3346, ..., -0.0405, 0.0268, 0.1263]
INFO:root:[0][865/2187] Loss_D: 0.1140 Loss_G: 4.6679 R1: 0.0213 R2: 0.0203 w_avg: [ 0.4850, 0.3431, 0.3348, ..., -0.0408, 0.0271, 0.1264]
INFO:root:[0][866/2187] Loss_D: 0.1925 Loss_G: 4.1637 R1: 0.0237 R2: 0.0300 w_avg: [ 0.4848, 0.3429, 0.3345, ..., -0.0408, 0.0271, 0.1265]
INFO:root:[0][867/2187] Loss_D: 0.2650 Loss_G: 3.4314 R1: 0.0282 R2: 0.0330 w_avg: [ 0.4846, 0.3431, 0.3345, ..., -0.0410, 0.0269, 0.1266]
INFO:root:[0][868/2187] Loss_D: 0.1980 Loss_G: 3.7588 R1: 0.0222 R2: 0.0273 w_avg: [ 0.4846, 0.3437, 0.3355, ..., -0.0408, 0.0267, 0.1262]
INFO:root:[0][869/2187] Loss_D: 0.2201 Loss_G: 2.4074 R1: 0.0238 R2: 0.0280 w_avg: [ 0.4852, 0.3440, 0.3355, ..., -0.0410, 0.0265, 0.1261]
INFO:root:[0][870/2187] Loss_D: 0.1966 Loss_G: 2.8749 R1: 0.0192 R2: 0.0194 w_avg: [ 0.4852, 0.3446, 0.3352, ..., -0.0409, 0.0265, 0.1263]
INFO:root:[0][871/2187] Loss_D: 0.1980 Loss_G: 3.7234 R1: 0.0268 R2: 0.0202 w_avg: [ 0.4849, 0.3450, 0.3353, ..., -0.0408, 0.0269, 0.1265]
INFO:root:[0][872/2187] Loss_D: 0.1386 Loss_G: 3.7898 R1: 0.0281 R2: 0.0184 w_avg: [ 0.4854, 0.3452, 0.3358, ..., -0.0408, 0.0268, 0.1263]
INFO:root:[0][873/2187] Loss_D: 0.1099 Loss_G: 4.6325 R1: 0.0288 R2: 0.0148 w_avg: [ 0.4852, 0.3452, 0.3357, ..., -0.0406, 0.0270, 0.1265]
INFO:root:[0][874/2187] Loss_D: 0.1129 Loss_G: 4.2627 R1: 0.0309 R2: 0.0265 w_avg: [ 0.4851, 0.3453, 0.3356, ..., -0.0409, 0.0277, 0.1266]
INFO:root:[0][875/2187] Loss_D: 0.1041 Loss_G: 3.6786 R1: 0.0259 R2: 0.0222 w_avg: [ 0.4850, 0.3455, 0.3363, ..., -0.0410, 0.0277, 0.1266]
INFO:root:[0][876/2187] Loss_D: 0.1840 Loss_G: 4.1134 R1: 0.0328 R2: 0.0203 w_avg: [ 0.4850, 0.3460, 0.3365, ..., -0.0411, 0.0274, 0.1266]
INFO:root:[0][877/2187] Loss_D: 0.0904 Loss_G: 3.2261 R1: 0.0214 R2: 0.0227 w_avg: [ 0.4842, 0.3469, 0.3364, ..., -0.0413, 0.0275, 0.1268]
INFO:root:[0][878/2187] Loss_D: 0.1083 Loss_G: 3.9516 R1: 0.0231 R2: 0.0199 w_avg: [ 0.4841, 0.3469, 0.3371, ..., -0.0415, 0.0276, 0.1267]
INFO:root:[0][879/2187] Loss_D: 0.1438 Loss_G: 4.2557 R1: 0.0238 R2: 0.0338 w_avg: [ 0.4847, 0.3469, 0.3374, ..., -0.0416, 0.0277, 0.1270]
INFO:root:[0][880/2187] Loss_D: 0.0800 Loss_G: 3.8966 R1: 0.0238 R2: 0.0262 w_avg: [ 0.4847, 0.3470, 0.3371, ..., -0.0414, 0.0276, 0.1268]
INFO:root:[0][881/2187] Loss_D: 0.1754 Loss_G: 3.7643 R1: 0.0210 R2: 0.0304 w_avg: [ 0.4849, 0.3473, 0.3370, ..., -0.0415, 0.0274, 0.1271]
INFO:root:[0][882/2187] Loss_D: 0.0992 Loss_G: 3.9397 R1: 0.0200 R2: 0.0237 w_avg: [ 0.4855, 0.3476, 0.3373, ..., -0.0414, 0.0277, 0.1272]
INFO:root:[0][883/2187] Loss_D: 0.2310 Loss_G: 3.1847 R1: 0.0217 R2: 0.0287 w_avg: [ 0.4853, 0.3474, 0.3372, ..., -0.0414, 0.0276, 0.1277]
INFO:root:[0][884/2187] Loss_D: 0.1339 Loss_G: 4.5128 R1: 0.0255 R2: 0.0073 w_avg: [ 0.4851, 0.3484, 0.3369, ..., -0.0413, 0.0277, 0.1280]
INFO:root:[0][885/2187] Loss_D: 0.2570 Loss_G: 4.7874 R1: 0.0329 R2: 0.0246 w_avg: [ 0.4850, 0.3480, 0.3371, ..., -0.0415, 0.0278, 0.1279]
INFO:root:[0][886/2187] Loss_D: 0.1378 Loss_G: 3.6896 R1: 0.0255 R2: 0.0333 w_avg: [ 0.4845, 0.3482, 0.3367, ..., -0.0418, 0.0279, 0.1279]
INFO:root:[0][887/2187] Loss_D: 0.1012 Loss_G: 4.1237 R1: 0.0270 R2: 0.0340 w_avg: [ 0.4839, 0.3482, 0.3364, ..., -0.0419, 0.0278, 0.1279]
INFO:root:[0][888/2187] Loss_D: 0.1098 Loss_G: 5.3882 R1: 0.0245 R2: 0.0279 w_avg: [ 0.4834, 0.3487, 0.3365, ..., -0.0419, 0.0280, 0.1283]
INFO:root:[0][889/2187] Loss_D: 0.1081 Loss_G: 3.8120 R1: 0.0242 R2: 0.0298 w_avg: [ 0.4837, 0.3485, 0.3370, ..., -0.0422, 0.0283, 0.1283]
INFO:root:[0][890/2187] Loss_D: 0.1918 Loss_G: 4.4614 R1: 0.0212 R2: 0.0341 w_avg: [ 0.4840, 0.3482, 0.3379, ..., -0.0420, 0.0280, 0.1280]
INFO:root:[0][891/2187] Loss_D: 0.0999 Loss_G: 5.0000 R1: 0.0260 R2: 0.0224 w_avg: [ 0.4849, 0.3482, 0.3379, ..., -0.0422, 0.0280, 0.1282]
INFO:root:[0][892/2187] Loss_D: 0.1817 Loss_G: 3.7154 R1: 0.0251 R2: 0.0247 w_avg: [ 0.4847, 0.3483, 0.3383, ..., -0.0424, 0.0279, 0.1283]
INFO:root:[0][893/2187] Loss_D: 0.1025 Loss_G: 4.1039 R1: 0.0236 R2: 0.0229 w_avg: [ 0.4848, 0.3486, 0.3384, ..., -0.0426, 0.0279, 0.1288]
INFO:root:[0][894/2187] Loss_D: 0.2883 Loss_G: 3.0349 R1: 0.0221 R2: 0.0230 w_avg: [ 0.4850, 0.3480, 0.3388, ..., -0.0426, 0.0287, 0.1287]
INFO:root:[0][895/2187] Loss_D: 0.1262 Loss_G: 3.3234 R1: 0.0202 R2: 0.0193 w_avg: [ 0.4852, 0.3479, 0.3391, ..., -0.0425, 0.0287, 0.1288]
INFO:root:[0][896/2187] Loss_D: 0.0981 Loss_G: 3.4454 R1: 0.0203 R2: 0.0225 w_avg: [ 0.4853, 0.3480, 0.3398, ..., -0.0425, 0.0286, 0.1289]
INFO:root:[0][897/2187] Loss_D: 0.1472 Loss_G: 3.2569 R1: 0.0212 R2: 0.0211 w_avg: [ 0.4851, 0.3479, 0.3397, ..., -0.0421, 0.0286, 0.1289]
INFO:root:[0][898/2187] Loss_D: 0.1245 Loss_G: 3.4785 R1: 0.0205 R2: 0.0178 w_avg: [ 0.4855, 0.3483, 0.3392, ..., -0.0423, 0.0287, 0.1291]
INFO:root:[0][899/2187] Loss_D: 0.1731 Loss_G: 4.2782 R1: 0.0208 R2: 0.0223 w_avg: [ 0.4849, 0.3493, 0.3392, ..., -0.0423, 0.0283, 0.1293]
INFO:root:[0][900/2187] Loss_D: 0.1560 Loss_G: 3.6006 R1: 0.0255 R2: 0.0225 w_avg: [ 0.4846, 0.3489, 0.3394, ..., -0.0422, 0.0281, 0.1292]
INFO:root:[0][901/2187] Loss_D: 0.1287 Loss_G: 4.6501 R1: 0.0269 R2: 0.0187 w_avg: [ 0.4850, 0.3491, 0.3388, ..., -0.0424, 0.0280, 0.1293]
INFO:root:[0][902/2187] Loss_D: 0.0831 Loss_G: 3.5796 R1: 0.0240 R2: 0.0186 w_avg: [ 0.4847, 0.3495, 0.3386, ..., -0.0421, 0.0280, 0.1295]
INFO:root:[0][903/2187] Loss_D: 0.0922 Loss_G: 3.7670 R1: 0.0245 R2: 0.0186 w_avg: [ 0.4847, 0.3492, 0.3382, ..., -0.0422, 0.0283, 0.1296]
INFO:root:[0][904/2187] Loss_D: 0.1397 Loss_G: 4.4538 R1: 0.0280 R2: 0.0255 w_avg: [ 0.4849, 0.3495, 0.3380, ..., -0.0425, 0.0281, 0.1296]
INFO:root:[0][905/2187] Loss_D: 0.0804 Loss_G: 4.7178 R1: 0.0284 R2: 0.0255 w_avg: [ 0.4849, 0.3499, 0.3386, ..., -0.0427, 0.0282, 0.1294]
INFO:root:[0][906/2187] Loss_D: 0.0768 Loss_G: 4.7356 R1: 0.0290 R2: 0.0216 w_avg: [ 0.4848, 0.3503, 0.3388, ..., -0.0427, 0.0281, 0.1296]
INFO:root:[0][907/2187] Loss_D: 0.0944 Loss_G: 3.5388 R1: 0.0322 R2: 0.0253 w_avg: [ 0.4851, 0.3506, 0.3391, ..., -0.0429, 0.0283, 0.1297]
INFO:root:[0][908/2187] Loss_D: 0.0918 Loss_G: 4.4471 R1: 0.0270 R2: 0.0224 w_avg: [ 0.4854, 0.3506, 0.3387, ..., -0.0430, 0.0284, 0.1295]
INFO:root:[0][909/2187] Loss_D: 0.0923 Loss_G: 3.4751 R1: 0.0283 R2: 0.0272 w_avg: [ 0.4861, 0.3501, 0.3392, ..., -0.0429, 0.0283, 0.1290]
INFO:root:[0][910/2187] Loss_D: 0.1365 Loss_G: 5.5453 R1: 0.0237 R2: 0.0308 w_avg: [ 0.4866, 0.3505, 0.3391, ..., -0.0429, 0.0281, 0.1288]
INFO:root:[0][911/2187] Loss_D: 0.0893 Loss_G: 4.2596 R1: 0.0306 R2: 0.0215 w_avg: [ 0.4875, 0.3510, 0.3391, ..., -0.0429, 0.0282, 0.1287]
INFO:root:[0][912/2187] Loss_D: 0.1250 Loss_G: 3.6686 R1: 0.0263 R2: 0.0295 w_avg: [ 0.4882, 0.3509, 0.3399, ..., -0.0431, 0.0283, 0.1286]
INFO:root:[0][913/2187] Loss_D: 0.1092 Loss_G: 4.2602 R1: 0.0258 R2: 0.0265 w_avg: [ 0.4884, 0.3509, 0.3405, ..., -0.0431, 0.0287, 0.1288]
INFO:root:[0][914/2187] Loss_D: 0.3233 Loss_G: 3.3804 R1: 0.0276 R2: 0.0272 w_avg: [ 0.4883, 0.3507, 0.3402, ..., -0.0433, 0.0289, 0.1292]
INFO:root:[0][915/2187] Loss_D: 0.2311 Loss_G: 4.2401 R1: 0.0224 R2: 0.0185 w_avg: [ 0.4888, 0.3508, 0.3405, ..., -0.0434, 0.0291, 0.1294]
INFO:root:[0][916/2187] Loss_D: 0.1478 Loss_G: 4.1987 R1: 0.0275 R2: 0.0265 w_avg: [ 0.4886, 0.3510, 0.3401, ..., -0.0435, 0.0293, 0.1291]
INFO:root:[0][917/2187] Loss_D: 0.1359 Loss_G: 3.2322 R1: 0.0271 R2: 0.0166 w_avg: [ 0.4890, 0.3510, 0.3403, ..., -0.0434, 0.0292, 0.1289]
INFO:root:[0][918/2187] Loss_D: 0.2528 Loss_G: 4.2955 R1: 0.0331 R2: 0.0340 w_avg: [ 0.4894, 0.3516, 0.3402, ..., -0.0437, 0.0294, 0.1290]
INFO:root:[0][919/2187] Loss_D: 0.1064 Loss_G: 4.0355 R1: 0.0280 R2: 0.0063 w_avg: [ 0.4892, 0.3514, 0.3401, ..., -0.0435, 0.0292, 0.1294]
INFO:root:[0][920/2187] Loss_D: 0.2142 Loss_G: 3.9460 R1: 0.0322 R2: 0.0203 w_avg: [ 0.4899, 0.3510, 0.3398, ..., -0.0436, 0.0291, 0.1296]
INFO:root:[0][921/2187] Loss_D: 0.0851 Loss_G: 4.0257 R1: 0.0285 R2: 0.0250 w_avg: [ 0.4904, 0.3511, 0.3401, ..., -0.0438, 0.0292, 0.1298]
INFO:root:[0][922/2187] Loss_D: 0.1873 Loss_G: 3.5020 R1: 0.0292 R2: 0.0326 w_avg: [ 0.4905, 0.3512, 0.3403, ..., -0.0440, 0.0294, 0.1300]
INFO:root:[0][923/2187] Loss_D: 0.1109 Loss_G: 3.4189 R1: 0.0288 R2: 0.0213 w_avg: [ 0.4905, 0.3517, 0.3402, ..., -0.0437, 0.0292, 0.1303]
INFO:root:[0][924/2187] Loss_D: 0.1490 Loss_G: 3.5847 R1: 0.0305 R2: 0.0308 w_avg: [ 0.4903, 0.3523, 0.3407, ..., -0.0439, 0.0295, 0.1298]
INFO:root:[0][925/2187] Loss_D: 0.0854 Loss_G: 4.2319 R1: 0.0319 R2: 0.0246 w_avg: [ 0.4908, 0.3526, 0.3411, ..., -0.0438, 0.0298, 0.1296]
INFO:root:[0][926/2187] Loss_D: 0.3508 Loss_G: 3.8685 R1: 0.0304 R2: 0.0281 w_avg: [ 0.4906, 0.3524, 0.3407, ..., -0.0438, 0.0302, 0.1307]
INFO:root:[0][927/2187] Loss_D: 0.2015 Loss_G: 5.0611 R1: 0.0362 R2: 0.0218 w_avg: [ 0.4903, 0.3524, 0.3406, ..., -0.0438, 0.0303, 0.1311]
INFO:root:[0][928/2187] Loss_D: 0.2774 Loss_G: 3.3136 R1: 0.0419 R2: 0.0362 w_avg: [ 0.4904, 0.3527, 0.3399, ..., -0.0438, 0.0301, 0.1315]
INFO:root:[0][929/2187] Loss_D: 0.3254 Loss_G: 4.9137 R1: 0.0321 R2: 0.0299 w_avg: [ 0.4907, 0.3534, 0.3403, ..., -0.0437, 0.0303, 0.1313]
INFO:root:[0][930/2187] Loss_D: 0.1304 Loss_G: 3.5085 R1: 0.0365 R2: 0.0389 w_avg: [ 0.4907, 0.3535, 0.3403, ..., -0.0437, 0.0302, 0.1313]
INFO:root:[0][931/2187] Loss_D: 0.7974 Loss_G: 3.1453 R1: 0.0345 R2: 0.0357 w_avg: [ 0.4906, 0.3532, 0.3399, ..., -0.0439, 0.0298, 0.1312]
INFO:root:[0][932/2187] Loss_D: 0.1836 Loss_G: 2.7796 R1: 0.0289 R2: 0.0052 w_avg: [ 0.4904, 0.3531, 0.3398, ..., -0.0441, 0.0298, 0.1314]
INFO:root:[0][933/2187] Loss_D: 0.1923 Loss_G: 3.0061 R1: 0.0401 R2: 0.0219 w_avg: [ 0.4902, 0.3533, 0.3397, ..., -0.0442, 0.0297, 0.1313]
INFO:root:[0][934/2187] Loss_D: 0.2618 Loss_G: 3.4882 R1: 0.0398 R2: 0.0273 w_avg: [ 0.4908, 0.3535, 0.3394, ..., -0.0442, 0.0296, 0.1316]
INFO:root:[0][935/2187] Loss_D: 0.1098 Loss_G: 4.0907 R1: 0.0367 R2: 0.0338 w_avg: [ 0.4909, 0.3534, 0.3402, ..., -0.0446, 0.0297, 0.1318]
INFO:root:[0][936/2187] Loss_D: 0.1188 Loss_G: 4.0159 R1: 0.0414 R2: 0.0428 w_avg: [ 0.4904, 0.3528, 0.3403, ..., -0.0447, 0.0299, 0.1315]
INFO:root:[0][937/2187] Loss_D: 0.3187 Loss_G: 2.6759 R1: 0.0335 R2: 0.0317 w_avg: [ 0.4906, 0.3532, 0.3411, ..., -0.0447, 0.0297, 0.1320]
INFO:root:[0][938/2187] Loss_D: 0.4678 Loss_G: 3.4010 R1: 0.0335 R2: 0.0173 w_avg: [ 0.4907, 0.3530, 0.3409, ..., -0.0444, 0.0296, 0.1322]
INFO:root:[0][939/2187] Loss_D: 0.2343 Loss_G: 2.9700 R1: 0.0367 R2: 0.0285 w_avg: [ 0.4912, 0.3532, 0.3412, ..., -0.0445, 0.0298, 0.1330]
INFO:root:[0][940/2187] Loss_D: 0.1887 Loss_G: 3.3216 R1: 0.0346 R2: 0.0252 w_avg: [ 0.4913, 0.3532, 0.3413, ..., -0.0443, 0.0295, 0.1330]
INFO:root:[0][941/2187] Loss_D: 0.1811 Loss_G: 3.0195 R1: 0.0364 R2: 0.0300 w_avg: [ 0.4912, 0.3533, 0.3419, ..., -0.0444, 0.0294, 0.1326]
INFO:root:[0][942/2187] Loss_D: 0.1451 Loss_G: 4.2771 R1: 0.0384 R2: 0.0273 w_avg: [ 0.4908, 0.3540, 0.3415, ..., -0.0444, 0.0294, 0.1325]
INFO:root:[0][943/2187] Loss_D: 0.2087 Loss_G: 3.3244 R1: 0.0349 R2: 0.0325 w_avg: [ 0.4902, 0.3543, 0.3415, ..., -0.0442, 0.0296, 0.1321]
INFO:root:[0][944/2187] Loss_D: 0.3131 Loss_G: 3.3775 R1: 0.0316 R2: 0.0305 w_avg: [ 0.4902, 0.3542, 0.3413, ..., -0.0439, 0.0299, 0.1325]
INFO:root:[0][945/2187] Loss_D: 0.1562 Loss_G: 2.9898 R1: 0.0340 R2: 0.0289 w_avg: [ 0.4903, 0.3541, 0.3417, ..., -0.0440, 0.0298, 0.1325]
INFO:root:[0][946/2187] Loss_D: 0.1389 Loss_G: 3.7351 R1: 0.0329 R2: 0.0296 w_avg: [ 0.4904, 0.3542, 0.3417, ..., -0.0441, 0.0299, 0.1323]
INFO:root:[0][947/2187] Loss_D: 0.2142 Loss_G: 3.1680 R1: 0.0305 R2: 0.0303 w_avg: [ 0.4898, 0.3541, 0.3413, ..., -0.0441, 0.0297, 0.1326]
INFO:root:[0][948/2187] Loss_D: 0.1659 Loss_G: 2.6632 R1: 0.0327 R2: 0.0278 w_avg: [ 0.4897, 0.3545, 0.3415, ..., -0.0440, 0.0297, 0.1328]
INFO:root:[0][949/2187] Loss_D: 0.1310 Loss_G: 3.3998 R1: 0.0354 R2: 0.0245 w_avg: [ 0.4890, 0.3546, 0.3415, ..., -0.0442, 0.0299, 0.1328]
INFO:root:[0][950/2187] Loss_D: 0.3132 Loss_G: 3.0214 R1: 0.0331 R2: 0.0298 w_avg: [ 0.4890, 0.3548, 0.3416, ..., -0.0440, 0.0295, 0.1327]
INFO:root:[0][951/2187] Loss_D: 0.3100 Loss_G: 2.9605 R1: 0.0346 R2: 0.0280 w_avg: [ 0.4890, 0.3548, 0.3420, ..., -0.0439, 0.0295, 0.1332]
INFO:root:[0][952/2187] Loss_D: 0.1630 Loss_G: 2.8038 R1: 0.0427 R2: 0.0322 w_avg: [ 0.4881, 0.3547, 0.3416, ..., -0.0438, 0.0295, 0.1334]
INFO:root:[0][953/2187] Loss_D: 0.3222 Loss_G: 3.3391 R1: 0.0387 R2: 0.0310 w_avg: [ 0.4888, 0.3552, 0.3416, ..., -0.0438, 0.0292, 0.1336]
INFO:root:[0][954/2187] Loss_D: 0.3330 Loss_G: 3.0113 R1: 0.0393 R2: 0.0273 w_avg: [ 0.4887, 0.3549, 0.3410, ..., -0.0440, 0.0294, 0.1334]
INFO:root:[0][955/2187] Loss_D: 0.1655 Loss_G: 2.3151 R1: 0.0400 R2: 0.0277 w_avg: [ 0.4889, 0.3550, 0.3410, ..., -0.0442, 0.0298, 0.1333]
INFO:root:[0][956/2187] Loss_D: 0.3040 Loss_G: 4.1136 R1: 0.0344 R2: 0.0273 w_avg: [ 0.4894, 0.3559, 0.3420, ..., -0.0444, 0.0298, 0.1334]
INFO:root:[0][957/2187] Loss_D: 0.2531 Loss_G: 3.8626 R1: 0.0328 R2: 0.0335 w_avg: [ 0.4892, 0.3553, 0.3416, ..., -0.0445, 0.0302, 0.1333]
INFO:root:[0][958/2187] Loss_D: 0.2906 Loss_G: 3.2680 R1: 0.0320 R2: 0.0312 w_avg: [ 0.4885, 0.3559, 0.3418, ..., -0.0448, 0.0302, 0.1333]
INFO:root:[0][959/2187] Loss_D: 0.2122 Loss_G: 3.8355 R1: 0.0314 R2: 0.0248 w_avg: [ 0.4889, 0.3562, 0.3416, ..., -0.0447, 0.0303, 0.1338]
INFO:root:[0][960/2187] Loss_D: 0.1458 Loss_G: 2.6718 R1: 0.0366 R2: 0.0286 w_avg: [ 0.4885, 0.3560, 0.3413, ..., -0.0449, 0.0305, 0.1339]
INFO:root:[0][961/2187] Loss_D: 0.1586 Loss_G: 2.9931 R1: 0.0322 R2: 0.0276 w_avg: [ 0.4891, 0.3559, 0.3415, ..., -0.0452, 0.0306, 0.1338]
INFO:root:[0][962/2187] Loss_D: 0.3176 Loss_G: 3.4415 R1: 0.0388 R2: 0.0322 w_avg: [ 0.4899, 0.3564, 0.3419, ..., -0.0451, 0.0306, 0.1338]
INFO:root:[0][963/2187] Loss_D: 0.1770 Loss_G: 2.8138 R1: 0.0407 R2: 0.0276 w_avg: [ 0.4898, 0.3563, 0.3418, ..., -0.0450, 0.0309, 0.1337]
INFO:root:[0][964/2187] Loss_D: 0.1624 Loss_G: 3.1976 R1: 0.0388 R2: 0.0314 w_avg: [ 0.4899, 0.3562, 0.3421, ..., -0.0448, 0.0315, 0.1343]
INFO:root:[0][965/2187] Loss_D: 0.1986 Loss_G: 2.8982 R1: 0.0353 R2: 0.0274 w_avg: [ 0.4899, 0.3561, 0.3422, ..., -0.0450, 0.0316, 0.1346]
INFO:root:[0][966/2187] Loss_D: 0.2359 Loss_G: 2.9161 R1: 0.0393 R2: 0.0320 w_avg: [ 0.4904, 0.3560, 0.3423, ..., -0.0452, 0.0320, 0.1350]
INFO:root:[0][967/2187] Loss_D: 0.2049 Loss_G: 3.5054 R1: 0.0408 R2: 0.0306 w_avg: [ 0.4905, 0.3565, 0.3419, ..., -0.0453, 0.0320, 0.1359]
INFO:root:[0][968/2187] Loss_D: 0.2293 Loss_G: 2.9566 R1: 0.0359 R2: 0.0348 w_avg: [ 0.4901, 0.3565, 0.3414, ..., -0.0453, 0.0321, 0.1360]
INFO:root:[0][969/2187] Loss_D: 0.1492 Loss_G: 3.1852 R1: 0.0357 R2: 0.0310 w_avg: [ 0.4903, 0.3562, 0.3406, ..., -0.0451, 0.0318, 0.1358]
INFO:root:[0][970/2187] Loss_D: 0.1928 Loss_G: 2.9154 R1: 0.0412 R2: 0.0283 w_avg: [ 0.4898, 0.3563, 0.3406, ..., -0.0453, 0.0318, 0.1358]
INFO:root:[0][971/2187] Loss_D: 0.2345 Loss_G: 3.2013 R1: 0.0354 R2: 0.0327 w_avg: [ 0.4898, 0.3561, 0.3404, ..., -0.0453, 0.0319, 0.1357]
INFO:root:[0][972/2187] Loss_D: 0.2115 Loss_G: 2.9949 R1: 0.0375 R2: 0.0254 w_avg: [ 0.4901, 0.3559, 0.3402, ..., -0.0454, 0.0317, 0.1363]
INFO:root:[0][973/2187] Loss_D: 0.1986 Loss_G: 3.0011 R1: 0.0401 R2: 0.0309 w_avg: [ 0.4901, 0.3554, 0.3401, ..., -0.0457, 0.0321, 0.1361]
INFO:root:[0][974/2187] Loss_D: 0.1245 Loss_G: 3.0868 R1: 0.0377 R2: 0.0265 w_avg: [ 0.4896, 0.3551, 0.3400, ..., -0.0458, 0.0321, 0.1361]
INFO:root:[0][975/2187] Loss_D: 0.3398 Loss_G: 2.4523 R1: 0.0423 R2: 0.0357 w_avg: [ 0.4899, 0.3554, 0.3402, ..., -0.0457, 0.0318, 0.1362]
INFO:root:[0][976/2187] Loss_D: 0.2718 Loss_G: 2.8064 R1: 0.0384 R2: 0.0243 w_avg: [ 0.4899, 0.3554, 0.3400, ..., -0.0458, 0.0320, 0.1363]
INFO:root:[0][977/2187] Loss_D: 0.2226 Loss_G: 3.1290 R1: 0.0391 R2: 0.0347 w_avg: [ 0.4897, 0.3559, 0.3400, ..., -0.0457, 0.0321, 0.1361]
INFO:root:[0][978/2187] Loss_D: 0.2334 Loss_G: 3.6771 R1: 0.0429 R2: 0.0337 w_avg: [ 0.4896, 0.3553, 0.3400, ..., -0.0457, 0.0325, 0.1362]
INFO:root:[0][979/2187] Loss_D: 0.1936 Loss_G: 3.4060 R1: 0.0451 R2: 0.0393 w_avg: [ 0.4894, 0.3555, 0.3400, ..., -0.0454, 0.0332, 0.1357]
INFO:root:[0][980/2187] Loss_D: 0.2441 Loss_G: 3.1138 R1: 0.0400 R2: 0.0426 w_avg: [ 0.4894, 0.3559, 0.3399, ..., -0.0454, 0.0331, 0.1357]
INFO:root:[0][981/2187] Loss_D: 0.6195 Loss_G: 2.4179 R1: 0.0408 R2: 0.0326 w_avg: [ 0.4903, 0.3569, 0.3399, ..., -0.0453, 0.0331, 0.1357]
INFO:root:[0][982/2187] Loss_D: 0.2269 Loss_G: 3.3945 R1: 0.0334 R2: 0.0120 w_avg: [ 0.4898, 0.3564, 0.3399, ..., -0.0454, 0.0330, 0.1359]
INFO:root:[0][983/2187] Loss_D: 0.1798 Loss_G: 2.7028 R1: 0.0431 R2: 0.0286 w_avg: [ 0.4894, 0.3567, 0.3398, ..., -0.0454, 0.0329, 0.1361]
INFO:root:[0][984/2187] Loss_D: 0.2403 Loss_G: 3.1883 R1: 0.0417 R2: 0.0293 w_avg: [ 0.4893, 0.3570, 0.3402, ..., -0.0452, 0.0329, 0.1363]
INFO:root:[0][985/2187] Loss_D: 0.2635 Loss_G: 3.2569 R1: 0.0453 R2: 0.0389 w_avg: [ 0.4897, 0.3572, 0.3400, ..., -0.0453, 0.0333, 0.1364]
INFO:root:[0][986/2187] Loss_D: 0.2042 Loss_G: 2.9499 R1: 0.0473 R2: 0.0467 w_avg: [ 0.4895, 0.3572, 0.3404, ..., -0.0451, 0.0332, 0.1362]
INFO:root:[0][987/2187] Loss_D: 0.2637 Loss_G: 3.3250 R1: 0.0426 R2: 0.0419 w_avg: [ 0.4893, 0.3577, 0.3402, ..., -0.0448, 0.0329, 0.1369]
INFO:root:[0][988/2187] Loss_D: 0.1650 Loss_G: 2.6935 R1: 0.0418 R2: 0.0383 w_avg: [ 0.4890, 0.3572, 0.3399, ..., -0.0449, 0.0327, 0.1374]
INFO:root:[0][989/2187] Loss_D: 0.2727 Loss_G: 2.6754 R1: 0.0370 R2: 0.0356 w_avg: [ 0.4886, 0.3570, 0.3397, ..., -0.0448, 0.0332, 0.1373]
INFO:root:[0][990/2187] Loss_D: 0.2515 Loss_G: 3.3801 R1: 0.0441 R2: 0.0319 w_avg: [ 0.4885, 0.3570, 0.3398, ..., -0.0446, 0.0335, 0.1374]
INFO:root:[0][991/2187] Loss_D: 0.1644 Loss_G: 3.1612 R1: 0.0399 R2: 0.0304 w_avg: [ 0.4888, 0.3568, 0.3400, ..., -0.0443, 0.0334, 0.1374]
INFO:root:[0][992/2187] Loss_D: 0.3037 Loss_G: 2.4203 R1: 0.0417 R2: 0.0340 w_avg: [ 0.4892, 0.3569, 0.3404, ..., -0.0445, 0.0334, 0.1372]
INFO:root:[0][993/2187] Loss_D: 0.2991 Loss_G: 3.1380 R1: 0.0234 R2: 0.0101 w_avg: [ 0.4895, 0.3570, 0.3405, ..., -0.0448, 0.0336, 0.1372]
INFO:root:[0][994/2187] Loss_D: 0.3256 Loss_G: 3.6238 R1: 0.0385 R2: 0.0397 w_avg: [ 0.4886, 0.3578, 0.3403, ..., -0.0449, 0.0333, 0.1371]
INFO:root:[0][995/2187] Loss_D: 0.1609 Loss_G: 3.3124 R1: 0.0386 R2: 0.0207 w_avg: [ 0.4886, 0.3579, 0.3410, ..., -0.0452, 0.0332, 0.1372]
INFO:root:[0][996/2187] Loss_D: 0.2983 Loss_G: 3.4854 R1: 0.0429 R2: 0.0361 w_avg: [ 0.4884, 0.3576, 0.3406, ..., -0.0451, 0.0332, 0.1371]
INFO:root:[0][997/2187] Loss_D: 0.1779 Loss_G: 3.3622 R1: 0.0386 R2: 0.0245 w_avg: [ 0.4884, 0.3572, 0.3401, ..., -0.0453, 0.0335, 0.1376]
INFO:root:[0][998/2187] Loss_D: 0.1639 Loss_G: 3.2413 R1: 0.0417 R2: 0.0332 w_avg: [ 0.4889, 0.3569, 0.3401, ..., -0.0453, 0.0336, 0.1374]
INFO:root:[0][999/2187] Loss_D: 0.2657 Loss_G: 2.2753 R1: 0.0385 R2: 0.0405 w_avg: [ 0.4893, 0.3568, 0.3402, ..., -0.0454, 0.0334, 0.1378]
INFO:root:[0][1000/2187] Loss_D: 0.3154 Loss_G: 2.9428 R1: 0.0377 R2: 0.0293 w_avg: [ 0.4894, 0.3569, 0.3401, ..., -0.0457, 0.0333, 0.1376]
INFO:root:[0][1001/2187] Loss_D: 0.2198 Loss_G: 2.6554 R1: 0.0395 R2: 0.0238 w_avg: [ 0.4892, 0.3568, 0.3405, ..., -0.0458, 0.0333, 0.1377]
INFO:root:[0][1002/2187] Loss_D: 0.1864 Loss_G: 2.5138 R1: 0.0373 R2: 0.0254 w_avg: [ 0.4885, 0.3565, 0.3404, ..., -0.0460, 0.0337, 0.1376]
INFO:root:[0][1003/2187] Loss_D: 0.1661 Loss_G: 2.3602 R1: 0.0397 R2: 0.0233 w_avg: [ 0.4889, 0.3569, 0.3407, ..., -0.0460, 0.0339, 0.1381]
INFO:root:[0][1004/2187] Loss_D: 0.1500 Loss_G: 3.0762 R1: 0.0397 R2: 0.0307 w_avg: [ 0.4897, 0.3571, 0.3406, ..., -0.0463, 0.0338, 0.1382]
INFO:root:[0][1005/2187] Loss_D: 0.1954 Loss_G: 3.0965 R1: 0.0421 R2: 0.0352 w_avg: [ 0.4894, 0.3567, 0.3407, ..., -0.0464, 0.0339, 0.1382]
INFO:root:[0][1006/2187] Loss_D: 0.1623 Loss_G: 2.5009 R1: 0.0391 R2: 0.0313 w_avg: [ 0.4897, 0.3569, 0.3404, ..., -0.0464, 0.0340, 0.1384]
INFO:root:[0][1007/2187] Loss_D: 0.1569 Loss_G: 2.5715 R1: 0.0381 R2: 0.0297 w_avg: [ 0.4896, 0.3568, 0.3405, ..., -0.0465, 0.0340, 0.1382]
INFO:root:[0][1008/2187] Loss_D: 0.1584 Loss_G: 3.1680 R1: 0.0390 R2: 0.0289 w_avg: [ 0.4898, 0.3567, 0.3404, ..., -0.0465, 0.0339, 0.1382]
INFO:root:[0][1009/2187] Loss_D: 0.1499 Loss_G: 3.4881 R1: 0.0385 R2: 0.0314 w_avg: [ 0.4906, 0.3563, 0.3404, ..., -0.0463, 0.0339, 0.1384]
INFO:root:[0][1010/2187] Loss_D: 0.2460 Loss_G: 3.3098 R1: 0.0405 R2: 0.0350 w_avg: [ 0.4907, 0.3564, 0.3411, ..., -0.0464, 0.0335, 0.1388]
INFO:root:[0][1011/2187] Loss_D: 0.3907 Loss_G: 1.7644 R1: 0.0374 R2: 0.0253 w_avg: [ 0.4904, 0.3568, 0.3411, ..., -0.0465, 0.0335, 0.1387]
INFO:root:[0][1012/2187] Loss_D: 0.2433 Loss_G: 3.0407 R1: 0.0374 R2: 0.0211 w_avg: [ 0.4909, 0.3567, 0.3413, ..., -0.0466, 0.0347, 0.1382]
INFO:root:[0][1013/2187] Loss_D: 0.2144 Loss_G: 2.7659 R1: 0.0405 R2: 0.0292 w_avg: [ 0.4910, 0.3569, 0.3407, ..., -0.0460, 0.0350, 0.1385]
INFO:root:[0][1014/2187] Loss_D: 0.1857 Loss_G: 2.8879 R1: 0.0403 R2: 0.0246 w_avg: [ 0.4905, 0.3568, 0.3403, ..., -0.0463, 0.0349, 0.1388]
INFO:root:[0][1015/2187] Loss_D: 0.2282 Loss_G: 2.9269 R1: 0.0419 R2: 0.0311 w_avg: [ 0.4903, 0.3567, 0.3401, ..., -0.0463, 0.0352, 0.1388]
INFO:root:[0][1016/2187] Loss_D: 0.2050 Loss_G: 3.5654 R1: 0.0437 R2: 0.0341 w_avg: [ 0.4906, 0.3569, 0.3407, ..., -0.0462, 0.0350, 0.1390]
INFO:root:[0][1017/2187] Loss_D: 0.1489 Loss_G: 3.5268 R1: 0.0442 R2: 0.0430 w_avg: [ 0.4908, 0.3576, 0.3417, ..., -0.0463, 0.0351, 0.1387]
INFO:root:[0][1018/2187] Loss_D: 0.1804 Loss_G: 3.9891 R1: 0.0432 R2: 0.0374 w_avg: [ 0.4905, 0.3572, 0.3410, ..., -0.0463, 0.0354, 0.1391]
INFO:root:[0][1019/2187] Loss_D: 0.2102 Loss_G: 3.4393 R1: 0.0550 R2: 0.0317 w_avg: [ 0.4902, 0.3573, 0.3413, ..., -0.0465, 0.0355, 0.1391]
INFO:root:[0][1020/2187] Loss_D: 0.2057 Loss_G: 3.5180 R1: 0.0462 R2: 0.0390 w_avg: [ 0.4905, 0.3579, 0.3421, ..., -0.0469, 0.0357, 0.1391]
INFO:root:[0][1021/2187] Loss_D: 0.3265 Loss_G: 2.7924 R1: 0.0420 R2: 0.0434 w_avg: [ 0.4905, 0.3585, 0.3419, ..., -0.0467, 0.0356, 0.1391]
INFO:root:[0][1022/2187] Loss_D: 0.4139 Loss_G: 2.6271 R1: 0.0353 R2: 0.0187 w_avg: [ 0.4902, 0.3581, 0.3413, ..., -0.0467, 0.0356, 0.1386]
INFO:root:[0][1023/2187] Loss_D: 0.1978 Loss_G: 3.5683 R1: 0.0434 R2: 0.0309 w_avg: [ 0.4892, 0.3582, 0.3409, ..., -0.0468, 0.0356, 0.1389]
INFO:root:[0][1024/2187] Loss_D: 0.2165 Loss_G: 3.3094 R1: 0.0390 R2: 0.0329 w_avg: [ 0.4888, 0.3585, 0.3410, ..., -0.0468, 0.0354, 0.1389]
INFO:root:[0][1025/2187] Loss_D: 0.2687 Loss_G: 2.8294 R1: 0.0366 R2: 0.0357 w_avg: [ 0.4886, 0.3583, 0.3408, ..., -0.0469, 0.0352, 0.1387]
INFO:root:[0][1026/2187] Loss_D: 0.2411 Loss_G: 3.3009 R1: 0.0364 R2: 0.0310 w_avg: [ 0.4884, 0.3585, 0.3406, ..., -0.0466, 0.0350, 0.1385]
INFO:root:[0][1027/2187] Loss_D: 0.2898 Loss_G: 4.0235 R1: 0.0504 R2: 0.0182 w_avg: [ 0.4882, 0.3583, 0.3405, ..., -0.0469, 0.0351, 0.1382]
INFO:root:[0][1028/2187] Loss_D: 0.1630 Loss_G: 3.0626 R1: 0.0380 R2: 0.0330 w_avg: [ 0.4881, 0.3583, 0.3406, ..., -0.0468, 0.0351, 0.1383]
INFO:root:[0][1029/2187] Loss_D: 0.3959 Loss_G: 3.6249 R1: 0.0378 R2: 0.0419 w_avg: [ 0.4882, 0.3587, 0.3404, ..., -0.0469, 0.0349, 0.1379]
INFO:root:[0][1030/2187] Loss_D: 0.2827 Loss_G: 2.5086 R1: 0.0387 R2: 0.0213 w_avg: [ 0.4879, 0.3583, 0.3399, ..., -0.0471, 0.0350, 0.1384]
INFO:root:[0][1031/2187] Loss_D: 0.2735 Loss_G: 2.6476 R1: 0.0427 R2: 0.0361 w_avg: [ 0.4883, 0.3589, 0.3401, ..., -0.0473, 0.0353, 0.1393]
INFO:root:[0][1032/2187] Loss_D: 0.1382 Loss_G: 2.6947 R1: 0.0398 R2: 0.0248 w_avg: [ 0.4879, 0.3588, 0.3402, ..., -0.0474, 0.0350, 0.1393]
INFO:root:[0][1033/2187] Loss_D: 0.1769 Loss_G: 3.0538 R1: 0.0366 R2: 0.0399 w_avg: [ 0.4879, 0.3585, 0.3402, ..., -0.0471, 0.0352, 0.1393]
INFO:root:[0][1034/2187] Loss_D: 0.1589 Loss_G: 3.7710 R1: 0.0408 R2: 0.0261 w_avg: [ 0.4875, 0.3582, 0.3402, ..., -0.0473, 0.0350, 0.1393]
INFO:root:[0][1035/2187] Loss_D: 0.1724 Loss_G: 3.0442 R1: 0.0408 R2: 0.0441 w_avg: [ 0.4870, 0.3588, 0.3401, ..., -0.0475, 0.0348, 0.1397]
INFO:root:[0][1036/2187] Loss_D: 0.1835 Loss_G: 3.2178 R1: 0.0410 R2: 0.0379 w_avg: [ 0.4873, 0.3593, 0.3403, ..., -0.0478, 0.0347, 0.1399]
INFO:root:[0][1037/2187] Loss_D: 0.1464 Loss_G: 3.8136 R1: 0.0437 R2: 0.0368 w_avg: [ 0.4872, 0.3595, 0.3406, ..., -0.0480, 0.0345, 0.1401]
INFO:root:[0][1038/2187] Loss_D: 0.2247 Loss_G: 3.2601 R1: 0.0407 R2: 0.0422 w_avg: [ 0.4868, 0.3594, 0.3403, ..., -0.0482, 0.0343, 0.1402]
INFO:root:[0][1039/2187] Loss_D: 0.1728 Loss_G: 3.6284 R1: 0.0425 R2: 0.0243 w_avg: [ 0.4872, 0.3595, 0.3405, ..., -0.0481, 0.0343, 0.1406]
INFO:root:[0][1040/2187] Loss_D: 0.2038 Loss_G: 4.1585 R1: 0.0433 R2: 0.0431 w_avg: [ 0.4871, 0.3593, 0.3401, ..., -0.0481, 0.0345, 0.1412]
INFO:root:[0][1041/2187] Loss_D: 0.3155 Loss_G: 3.0948 R1: 0.0372 R2: 0.0493 w_avg: [ 0.4873, 0.3598, 0.3406, ..., -0.0479, 0.0345, 0.1410]
INFO:root:[0][1042/2187] Loss_D: 0.3322 Loss_G: 3.0095 R1: 0.0346 R2: 0.0251 w_avg: [ 0.4878, 0.3602, 0.3405, ..., -0.0481, 0.0345, 0.1413]
INFO:root:[0][1043/2187] Loss_D: 0.3451 Loss_G: 2.2518 R1: 0.0459 R2: 0.0415 w_avg: [ 0.4874, 0.3600, 0.3408, ..., -0.0481, 0.0342, 0.1412]
INFO:root:[0][1044/2187] Loss_D: 0.2681 Loss_G: 2.8866 R1: 0.0288 R2: 0.0210 w_avg: [ 0.4878, 0.3594, 0.3407, ..., -0.0481, 0.0342, 0.1414]
INFO:root:[0][1045/2187] Loss_D: 0.2116 Loss_G: 3.4993 R1: 0.0404 R2: 0.0323 w_avg: [ 0.4888, 0.3592, 0.3408, ..., -0.0482, 0.0345, 0.1414]
INFO:root:[0][1046/2187] Loss_D: 0.1872 Loss_G: 3.3861 R1: 0.0415 R2: 0.0379 w_avg: [ 0.4886, 0.3596, 0.3410, ..., -0.0484, 0.0344, 0.1414]
INFO:root:[0][1047/2187] Loss_D: 0.2813 Loss_G: 3.2547 R1: 0.0361 R2: 0.0336 w_avg: [ 0.4891, 0.3596, 0.3411, ..., -0.0485, 0.0341, 0.1414]
INFO:root:[0][1048/2187] Loss_D: 0.1733 Loss_G: 4.2602 R1: 0.0356 R2: 0.0264 w_avg: [ 0.4889, 0.3595, 0.3406, ..., -0.0485, 0.0341, 0.1413]
INFO:root:[0][1049/2187] Loss_D: 0.1683 Loss_G: 4.0342 R1: 0.0436 R2: 0.0327 w_avg: [ 0.4887, 0.3599, 0.3412, ..., -0.0484, 0.0343, 0.1412]
INFO:root:[0][1050/2187] Loss_D: 0.3090 Loss_G: 3.7564 R1: 0.0418 R2: 0.0400 w_avg: [ 0.4889, 0.3604, 0.3407, ..., -0.0487, 0.0344, 0.1419]
INFO:root:[0][1051/2187] Loss_D: 0.1934 Loss_G: 3.2970 R1: 0.0344 R2: 0.0391 w_avg: [ 0.4889, 0.3600, 0.3405, ..., -0.0490, 0.0343, 0.1423]
INFO:root:[0][1052/2187] Loss_D: 0.4526 Loss_G: 2.9625 R1: 0.0329 R2: 0.0410 w_avg: [ 0.4886, 0.3594, 0.3398, ..., -0.0492, 0.0343, 0.1423]
INFO:root:[0][1053/2187] Loss_D: 0.2459 Loss_G: 3.0091 R1: 0.0423 R2: 0.0270 w_avg: [ 0.4883, 0.3595, 0.3392, ..., -0.0494, 0.0343, 0.1424]
INFO:root:[0][1054/2187] Loss_D: 0.2411 Loss_G: 2.9341 R1: 0.0429 R2: 0.0371 w_avg: [ 0.4878, 0.3597, 0.3395, ..., -0.0496, 0.0344, 0.1425]
INFO:root:[0][1055/2187] Loss_D: 0.2633 Loss_G: 2.4640 R1: 0.0431 R2: 0.0374 w_avg: [ 0.4881, 0.3594, 0.3394, ..., -0.0496, 0.0347, 0.1424]
INFO:root:[0][1056/2187] Loss_D: 0.2733 Loss_G: 2.1581 R1: 0.0369 R2: 0.0305 w_avg: [ 0.4882, 0.3593, 0.3399, ..., -0.0497, 0.0345, 0.1425]
INFO:root:[0][1057/2187] Loss_D: 0.2742 Loss_G: 2.9812 R1: 0.0268 R2: 0.0185 w_avg: [ 0.4879, 0.3598, 0.3398, ..., -0.0495, 0.0345, 0.1426]
INFO:root:[0][1058/2187] Loss_D: 0.1909 Loss_G: 2.1527 R1: 0.0342 R2: 0.0332 w_avg: [ 0.4880, 0.3603, 0.3396, ..., -0.0497, 0.0344, 0.1425]
INFO:root:[0][1059/2187] Loss_D: 0.3705 Loss_G: 2.4411 R1: 0.0315 R2: 0.0414 w_avg: [ 0.4884, 0.3608, 0.3396, ..., -0.0499, 0.0347, 0.1421]
INFO:root:[0][1060/2187] Loss_D: 0.2317 Loss_G: 3.0275 R1: 0.0354 R2: 0.0261 w_avg: [ 0.4879, 0.3609, 0.3400, ..., -0.0496, 0.0346, 0.1421]
INFO:root:[0][1061/2187] Loss_D: 0.3529 Loss_G: 3.6270 R1: 0.0386 R2: 0.0302 w_avg: [ 0.4880, 0.3610, 0.3408, ..., -0.0492, 0.0347, 0.1427]
INFO:root:[0][1062/2187] Loss_D: 0.2346 Loss_G: 3.4493 R1: 0.0427 R2: 0.0411 w_avg: [ 0.4882, 0.3615, 0.3405, ..., -0.0487, 0.0346, 0.1426]
INFO:root:[0][1063/2187] Loss_D: 0.3707 Loss_G: 2.6382 R1: 0.0378 R2: 0.0440 w_avg: [ 0.4875, 0.3610, 0.3402, ..., -0.0489, 0.0348, 0.1424]
INFO:root:[0][1064/2187] Loss_D: 0.2010 Loss_G: 3.0255 R1: 0.0321 R2: 0.0204 w_avg: [ 0.4874, 0.3616, 0.3400, ..., -0.0490, 0.0347, 0.1422]
INFO:root:[0][1065/2187] Loss_D: 0.1711 Loss_G: 3.3857 R1: 0.0379 R2: 0.0295 w_avg: [ 0.4875, 0.3614, 0.3395, ..., -0.0492, 0.0349, 0.1422]
INFO:root:[0][1066/2187] Loss_D: 0.2713 Loss_G: 3.1124 R1: 0.0402 R2: 0.0386 w_avg: [ 0.4872, 0.3613, 0.3390, ..., -0.0493, 0.0349, 0.1424]
INFO:root:[0][1067/2187] Loss_D: 0.2478 Loss_G: 2.9671 R1: 0.0329 R2: 0.0312 w_avg: [ 0.4867, 0.3615, 0.3392, ..., -0.0490, 0.0348, 0.1427]
INFO:root:[0][1068/2187] Loss_D: 0.3230 Loss_G: 4.4562 R1: 0.0375 R2: 0.0250 w_avg: [ 0.4864, 0.3618, 0.3397, ..., -0.0493, 0.0348, 0.1430]
INFO:root:[0][1069/2187] Loss_D: 0.4017 Loss_G: 3.1644 R1: 0.0483 R2: 0.0476 w_avg: [ 0.4869, 0.3612, 0.3400, ..., -0.0496, 0.0354, 0.1427]
INFO:root:[0][1070/2187] Loss_D: 0.2516 Loss_G: 3.2420 R1: 0.0396 R2: 0.0388 w_avg: [ 0.4866, 0.3609, 0.3398, ..., -0.0499, 0.0356, 0.1427]
INFO:root:[0][1071/2187] Loss_D: 0.2694 Loss_G: 2.4708 R1: 0.0378 R2: 0.0241 w_avg: [ 0.4864, 0.3609, 0.3397, ..., -0.0500, 0.0357, 0.1434]
INFO:root:[0][1072/2187] Loss_D: 0.2534 Loss_G: 2.7079 R1: 0.0324 R2: 0.0320 w_avg: [ 0.4857, 0.3605, 0.3399, ..., -0.0500, 0.0359, 0.1437]
INFO:root:[0][1073/2187] Loss_D: 0.2189 Loss_G: 2.9224 R1: 0.0356 R2: 0.0311 w_avg: [ 0.4854, 0.3609, 0.3404, ..., -0.0502, 0.0358, 0.1433]
INFO:root:[0][1074/2187] Loss_D: 0.3354 Loss_G: 3.4323 R1: 0.0325 R2: 0.0219 w_avg: [ 0.4851, 0.3610, 0.3405, ..., -0.0504, 0.0361, 0.1431]
INFO:root:[0][1075/2187] Loss_D: 0.2562 Loss_G: 4.1529 R1: 0.0406 R2: 0.0387 w_avg: [ 0.4859, 0.3618, 0.3402, ..., -0.0507, 0.0363, 0.1430]
INFO:root:[0][1076/2187] Loss_D: 0.1659 Loss_G: 2.3519 R1: 0.0377 R2: 0.0388 w_avg: [ 0.4858, 0.3621, 0.3400, ..., -0.0505, 0.0366, 0.1433]
INFO:root:[0][1077/2187] Loss_D: 0.3885 Loss_G: 2.3541 R1: 0.0380 R2: 0.0411 w_avg: [ 0.4851, 0.3618, 0.3398, ..., -0.0505, 0.0365, 0.1430]
INFO:root:[0][1078/2187] Loss_D: 0.3616 Loss_G: 2.9159 R1: 0.0342 R2: 0.0255 w_avg: [ 0.4850, 0.3616, 0.3394, ..., -0.0509, 0.0366, 0.1429]
INFO:root:[0][1079/2187] Loss_D: 0.2469 Loss_G: 3.1978 R1: 0.0346 R2: 0.0281 w_avg: [ 0.4847, 0.3612, 0.3395, ..., -0.0511, 0.0366, 0.1427]
INFO:root:[0][1080/2187] Loss_D: 0.2467 Loss_G: 2.8889 R1: 0.0377 R2: 0.0350 w_avg: [ 0.4847, 0.3612, 0.3392, ..., -0.0510, 0.0366, 0.1425]
INFO:root:[0][1081/2187] Loss_D: 0.2368 Loss_G: 3.3704 R1: 0.0392 R2: 0.0307 w_avg: [ 0.4843, 0.3614, 0.3388, ..., -0.0511, 0.0365, 0.1422]
INFO:root:[0][1082/2187] Loss_D: 0.1857 Loss_G: 2.9983 R1: 0.0352 R2: 0.0352 w_avg: [ 0.4842, 0.3610, 0.3386, ..., -0.0513, 0.0364, 0.1423]
INFO:root:[0][1083/2187] Loss_D: 0.1844 Loss_G: 2.4077 R1: 0.0337 R2: 0.0326 w_avg: [ 0.4843, 0.3604, 0.3388, ..., -0.0515, 0.0362, 0.1417]
INFO:root:[0][1084/2187] Loss_D: 0.5117 Loss_G: 3.3634 R1: 0.0367 R2: 0.0222 w_avg: [ 0.4844, 0.3605, 0.3388, ..., -0.0515, 0.0365, 0.1422]
INFO:root:[0][1085/2187] Loss_D: 0.3243 Loss_G: 4.1400 R1: 0.0832 R2: 0.0290 w_avg: [ 0.4838, 0.3604, 0.3387, ..., -0.0515, 0.0366, 0.1423]
INFO:root:[0][1086/2187] Loss_D: 0.8407 Loss_G: 4.0119 R1: 0.0328 R2: 0.0341 w_avg: [ 0.4837, 0.3605, 0.3386, ..., -0.0515, 0.0367, 0.1424]
INFO:root:[0][1087/2187] Loss_D: 0.1960 Loss_G: 2.7864 R1: 0.0245 R2: 0.0269 w_avg: [ 0.4836, 0.3602, 0.3388, ..., -0.0516, 0.0366, 0.1424]
INFO:root:[0][1088/2187] Loss_D: 0.3009 Loss_G: 2.9678 R1: 0.0231 R2: 0.0299 w_avg: [ 0.4831, 0.3604, 0.3385, ..., -0.0517, 0.0364, 0.1427]
INFO:root:[0][1089/2187] Loss_D: 0.2853 Loss_G: 3.1593 R1: 0.0237 R2: 0.0256 w_avg: [ 0.4826, 0.3613, 0.3383, ..., -0.0519, 0.0363, 0.1428]
INFO:root:[0][1090/2187] Loss_D: 0.2743 Loss_G: 2.5143 R1: 0.0259 R2: 0.0289 w_avg: [ 0.4818, 0.3613, 0.3377, ..., -0.0521, 0.0363, 0.1427]
INFO:root:[0][1091/2187] Loss_D: 0.2052 Loss_G: 2.1936 R1: 0.0270 R2: 0.0345 w_avg: [ 0.4816, 0.3614, 0.3371, ..., -0.0520, 0.0362, 0.1426]
INFO:root:[0][1092/2187] Loss_D: 0.3397 Loss_G: 2.3778 R1: 0.0279 R2: 0.0400 w_avg: [ 0.4810, 0.3611, 0.3367, ..., -0.0520, 0.0359, 0.1429]
INFO:root:[0][1093/2187] Loss_D: 0.1947 Loss_G: 2.7467 R1: 0.0285 R2: 0.0402 w_avg: [ 0.4810, 0.3614, 0.3360, ..., -0.0522, 0.0360, 0.1426]
INFO:root:[0][1094/2187] Loss_D: 0.2344 Loss_G: 2.3453 R1: 0.0333 R2: 0.0334 w_avg: [ 0.4810, 0.3617, 0.3363, ..., -0.0524, 0.0358, 0.1424]
INFO:root:[0][1095/2187] Loss_D: 0.4518 Loss_G: 2.7628 R1: 0.0323 R2: 0.0366 w_avg: [ 0.4804, 0.3617, 0.3365, ..., -0.0524, 0.0359, 0.1423]
INFO:root:[0][1096/2187] Loss_D: 0.4357 Loss_G: 2.2714 R1: 0.0322 R2: 0.0348 w_avg: [ 0.4806, 0.3621, 0.3368, ..., -0.0524, 0.0356, 0.1421]
INFO:root:[0][1097/2187] Loss_D: 0.2669 Loss_G: 3.0832 R1: 0.0249 R2: 0.0106 w_avg: [ 0.4801, 0.3620, 0.3366, ..., -0.0527, 0.0359, 0.1421]
INFO:root:[0][1098/2187] Loss_D: 0.1738 Loss_G: 2.6405 R1: 0.0312 R2: 0.0271 w_avg: [ 0.4800, 0.3621, 0.3374, ..., -0.0527, 0.0356, 0.1419]
INFO:root:[0][1099/2187] Loss_D: 0.1842 Loss_G: 2.9455 R1: 0.0309 R2: 0.0368 w_avg: [ 0.4798, 0.3623, 0.3377, ..., -0.0528, 0.0359, 0.1420]
INFO:root:[0][1100/2187] Loss_D: 0.1808 Loss_G: 3.3832 R1: 0.0384 R2: 0.0285 w_avg: [ 0.4801, 0.3622, 0.3376, ..., -0.0528, 0.0369, 0.1418]
INFO:root:[0][1101/2187] Loss_D: 0.2050 Loss_G: 3.7315 R1: 0.0335 R2: 0.0366 w_avg: [ 0.4806, 0.3626, 0.3376, ..., -0.0529, 0.0370, 0.1415]
INFO:root:[0][1102/2187] Loss_D: 0.2831 Loss_G: 3.4798 R1: 0.0355 R2: 0.0412 w_avg: [ 0.4807, 0.3635, 0.3378, ..., -0.0531, 0.0372, 0.1413]
INFO:root:[0][1103/2187] Loss_D: 0.1231 Loss_G: 2.8706 R1: 0.0319 R2: 0.0278 w_avg: [ 0.4810, 0.3637, 0.3379, ..., -0.0531, 0.0371, 0.1414]
INFO:root:[0][1104/2187] Loss_D: 0.3097 Loss_G: 2.3937 R1: 0.0282 R2: 0.0354 w_avg: [ 0.4813, 0.3639, 0.3381, ..., -0.0532, 0.0368, 0.1414]
INFO:root:[0][1105/2187] Loss_D: 0.2188 Loss_G: 2.4470 R1: 0.0355 R2: 0.0276 w_avg: [ 0.4819, 0.3640, 0.3380, ..., -0.0534, 0.0368, 0.1413]
INFO:root:[0][1106/2187] Loss_D: 0.1791 Loss_G: 3.0246 R1: 0.0306 R2: 0.0299 w_avg: [ 0.4813, 0.3644, 0.3379, ..., -0.0534, 0.0367, 0.1414]
INFO:root:[0][1107/2187] Loss_D: 0.1513 Loss_G: 3.9304 R1: 0.0311 R2: 0.0346 w_avg: [ 0.4808, 0.3640, 0.3371, ..., -0.0534, 0.0367, 0.1420]
INFO:root:[0][1108/2187] Loss_D: 0.2961 Loss_G: 3.2489 R1: 0.0351 R2: 0.0379 w_avg: [ 0.4811, 0.3650, 0.3368, ..., -0.0533, 0.0364, 0.1426]
INFO:root:[0][1109/2187] Loss_D: 0.2601 Loss_G: 3.9190 R1: 0.0383 R2: 0.0419 w_avg: [ 0.4807, 0.3653, 0.3366, ..., -0.0535, 0.0363, 0.1426]
INFO:root:[0][1110/2187] Loss_D: 0.2391 Loss_G: 3.2260 R1: 0.0306 R2: 0.0411 w_avg: [ 0.4808, 0.3654, 0.3366, ..., -0.0538, 0.0363, 0.1425]
INFO:root:[0][1111/2187] Loss_D: 0.7819 Loss_G: 2.7054 R1: 0.0292 R2: 0.0375 w_avg: [ 0.4808, 0.3654, 0.3363, ..., -0.0538, 0.0364, 0.1427]
INFO:root:[0][1112/2187] Loss_D: 0.2149 Loss_G: 1.8779 R1: 0.0301 R2: 0.0199 w_avg: [ 0.4803, 0.3655, 0.3364, ..., -0.0540, 0.0365, 0.1426]
INFO:root:[0][1113/2187] Loss_D: 0.8383 Loss_G: 2.1429 R1: 0.0308 R2: 0.0298 w_avg: [ 0.4802, 0.3652, 0.3368, ..., -0.0540, 0.0365, 0.1422]
INFO:root:[0][1114/2187] Loss_D: 0.5844 Loss_G: 1.8300 R1: 0.0247 R2: 0.0239 w_avg: [ 0.4798, 0.3648, 0.3364, ..., -0.0543, 0.0368, 0.1419]
INFO:root:[0][1115/2187] Loss_D: 0.3904 Loss_G: 2.0965 R1: 0.0269 R2: 0.0234 w_avg: [ 0.4797, 0.3650, 0.3370, ..., -0.0541, 0.0367, 0.1418]
INFO:root:[0][1116/2187] Loss_D: 0.2362 Loss_G: 2.3278 R1: 0.0262 R2: 0.0227 w_avg: [ 0.4798, 0.3651, 0.3372, ..., -0.0541, 0.0365, 0.1420]
INFO:root:[0][1117/2187] Loss_D: 0.3201 Loss_G: 2.3908 R1: 0.0254 R2: 0.0317 w_avg: [ 0.4800, 0.3651, 0.3372, ..., -0.0541, 0.0367, 0.1419]
INFO:root:[0][1118/2187] Loss_D: 0.2721 Loss_G: 1.9952 R1: 0.0232 R2: 0.0267 w_avg: [ 0.4797, 0.3652, 0.3375, ..., -0.0542, 0.0370, 0.1419]
INFO:root:[0][1119/2187] Loss_D: 0.2725 Loss_G: 2.4519 R1: 0.0260 R2: 0.0279 w_avg: [ 0.4791, 0.3652, 0.3374, ..., -0.0543, 0.0369, 0.1418]
INFO:root:[0][1120/2187] Loss_D: 0.3672 Loss_G: 2.3887 R1: 0.0265 R2: 0.0277 w_avg: [ 0.4790, 0.3654, 0.3368, ..., -0.0541, 0.0367, 0.1418]
INFO:root:[0][1121/2187] Loss_D: 0.3760 Loss_G: 2.6256 R1: 0.0257 R2: 0.0245 w_avg: [ 0.4793, 0.3653, 0.3366, ..., -0.0537, 0.0364, 0.1419]
INFO:root:[0][1122/2187] Loss_D: 0.2071 Loss_G: 2.6346 R1: 0.0267 R2: 0.0229 w_avg: [ 0.4800, 0.3653, 0.3364, ..., -0.0534, 0.0364, 0.1427]
INFO:root:[0][1123/2187] Loss_D: 0.1890 Loss_G: 2.3214 R1: 0.0297 R2: 0.0272 w_avg: [ 0.4803, 0.3654, 0.3358, ..., -0.0535, 0.0363, 0.1426]
INFO:root:[0][1124/2187] Loss_D: 0.3386 Loss_G: 2.9334 R1: 0.0322 R2: 0.0314 w_avg: [ 0.4803, 0.3657, 0.3357, ..., -0.0535, 0.0362, 0.1424]
INFO:root:[0][1125/2187] Loss_D: 0.3113 Loss_G: 2.4529 R1: 0.0263 R2: 0.0261 w_avg: [ 0.4798, 0.3659, 0.3358, ..., -0.0535, 0.0361, 0.1423]
INFO:root:[0][1126/2187] Loss_D: 0.2413 Loss_G: 3.2810 R1: 0.0284 R2: 0.0188 w_avg: [ 0.4799, 0.3660, 0.3361, ..., -0.0534, 0.0360, 0.1427]
INFO:root:[0][1127/2187] Loss_D: 0.4021 Loss_G: 2.7429 R1: 0.0298 R2: 0.0297 w_avg: [ 0.4798, 0.3662, 0.3360, ..., -0.0535, 0.0360, 0.1423]
INFO:root:[0][1128/2187] Loss_D: 0.2431 Loss_G: 2.4295 R1: 0.0346 R2: 0.0184 w_avg: [ 0.4795, 0.3662, 0.3358, ..., -0.0536, 0.0360, 0.1420]
INFO:root:[0][1129/2187] Loss_D: 0.3070 Loss_G: 2.8159 R1: 0.0299 R2: 0.0297 w_avg: [ 0.4792, 0.3669, 0.3360, ..., -0.0537, 0.0364, 0.1420]
INFO:root:[0][1130/2187] Loss_D: 0.4019 Loss_G: 2.7231 R1: 0.0344 R2: 0.0373 w_avg: [ 0.4795, 0.3671, 0.3356, ..., -0.0536, 0.0359, 0.1424]
INFO:root:[0][1131/2187] Loss_D: 0.2373 Loss_G: 2.3400 R1: 0.0314 R2: 0.0214 w_avg: [ 0.4787, 0.3671, 0.3355, ..., -0.0535, 0.0359, 0.1425]
INFO:root:[0][1132/2187] Loss_D: 0.2792 Loss_G: 3.2734 R1: 0.0333 R2: 0.0205 w_avg: [ 0.4785, 0.3669, 0.3356, ..., -0.0536, 0.0361, 0.1423]
INFO:root:[0][1133/2187] Loss_D: 0.1513 Loss_G: 3.2389 R1: 0.0365 R2: 0.0222 w_avg: [ 0.4794, 0.3674, 0.3358, ..., -0.0536, 0.0363, 0.1420]
INFO:root:[0][1134/2187] Loss_D: 0.1800 Loss_G: 2.6999 R1: 0.0342 R2: 0.0341 w_avg: [ 0.4793, 0.3676, 0.3356, ..., -0.0535, 0.0363, 0.1420]
INFO:root:[0][1135/2187] Loss_D: 0.2702 Loss_G: 2.8706 R1: 0.0335 R2: 0.0393 w_avg: [ 0.4787, 0.3681, 0.3363, ..., -0.0537, 0.0363, 0.1419]
INFO:root:[0][1136/2187] Loss_D: 0.1891 Loss_G: 3.2175 R1: 0.0346 R2: 0.0280 w_avg: [ 0.4784, 0.3678, 0.3364, ..., -0.0533, 0.0365, 0.1422]
INFO:root:[0][1137/2187] Loss_D: 0.2576 Loss_G: 3.6166 R1: 0.0294 R2: 0.0324 w_avg: [ 0.4779, 0.3676, 0.3361, ..., -0.0535, 0.0371, 0.1421]
INFO:root:[0][1138/2187] Loss_D: 0.2466 Loss_G: 2.9016 R1: 0.0351 R2: 0.0275 w_avg: [ 0.4782, 0.3677, 0.3362, ..., -0.0536, 0.0372, 0.1426]
INFO:root:[0][1139/2187] Loss_D: 0.1686 Loss_G: 3.1888 R1: 0.0315 R2: 0.0340 w_avg: [ 0.4782, 0.3676, 0.3359, ..., -0.0537, 0.0369, 0.1423]
INFO:root:[0][1140/2187] Loss_D: 0.2221 Loss_G: 2.8711 R1: 0.0323 R2: 0.0353 w_avg: [ 0.4778, 0.3678, 0.3361, ..., -0.0536, 0.0370, 0.1422]
INFO:root:[0][1141/2187] Loss_D: 0.2217 Loss_G: 4.2053 R1: 0.0313 R2: 0.0247 w_avg: [ 0.4778, 0.3680, 0.3358, ..., -0.0537, 0.0367, 0.1421]
INFO:root:[0][1142/2187] Loss_D: 0.3396 Loss_G: 3.1004 R1: 0.0316 R2: 0.0389 w_avg: [ 0.4774, 0.3684, 0.3361, ..., -0.0538, 0.0367, 0.1422]
INFO:root:[0][1143/2187] Loss_D: 0.1424 Loss_G: 2.4155 R1: 0.0375 R2: 0.0270 w_avg: [ 0.4768, 0.3687, 0.3361, ..., -0.0537, 0.0366, 0.1429]
INFO:root:[0][1144/2187] Loss_D: 0.2158 Loss_G: 3.0884 R1: 0.0312 R2: 0.0410 w_avg: [ 0.4765, 0.3687, 0.3362, ..., -0.0535, 0.0367, 0.1426]
INFO:root:[0][1145/2187] Loss_D: 0.2759 Loss_G: 2.7018 R1: 0.0347 R2: 0.0379 w_avg: [ 0.4765, 0.3684, 0.3361, ..., -0.0536, 0.0365, 0.1425]
INFO:root:[0][1146/2187] Loss_D: 0.2974 Loss_G: 2.6238 R1: 0.0296 R2: 0.0265 w_avg: [ 0.4767, 0.3681, 0.3361, ..., -0.0538, 0.0365, 0.1424]
INFO:root:[0][1147/2187] Loss_D: 0.1658 Loss_G: 2.3890 R1: 0.0321 R2: 0.0299 w_avg: [ 0.4763, 0.3684, 0.3362, ..., -0.0538, 0.0366, 0.1419]
INFO:root:[0][1148/2187] Loss_D: 0.2087 Loss_G: 2.0001 R1: 0.0349 R2: 0.0366 w_avg: [ 0.4763, 0.3682, 0.3360, ..., -0.0541, 0.0369, 0.1417]
INFO:root:[0][1149/2187] Loss_D: 0.2176 Loss_G: 2.9951 R1: 0.0320 R2: 0.0299 w_avg: [ 0.4767, 0.3685, 0.3357, ..., -0.0538, 0.0372, 0.1417]
INFO:root:[0][1150/2187] Loss_D: 0.2485 Loss_G: 2.9072 R1: 0.0344 R2: 0.0213 w_avg: [ 0.4764, 0.3687, 0.3360, ..., -0.0540, 0.0371, 0.1414]
INFO:root:[0][1151/2187] Loss_D: 0.1889 Loss_G: 2.4728 R1: 0.0351 R2: 0.0357 w_avg: [ 0.4760, 0.3688, 0.3360, ..., -0.0537, 0.0373, 0.1409]
INFO:root:[0][1152/2187] Loss_D: 0.3305 Loss_G: 2.5063 R1: 0.0367 R2: 0.0322 w_avg: [ 0.4762, 0.3689, 0.3361, ..., -0.0540, 0.0373, 0.1412]
INFO:root:[0][1153/2187] Loss_D: 0.1781 Loss_G: 2.9431 R1: 0.0339 R2: 0.0162 w_avg: [ 0.4762, 0.3688, 0.3361, ..., -0.0541, 0.0375, 0.1410]
INFO:root:[0][1154/2187] Loss_D: 0.5359 Loss_G: 2.7752 R1: 0.0406 R2: 0.0214 w_avg: [ 0.4760, 0.3694, 0.3360, ..., -0.0542, 0.0377, 0.1411]
INFO:root:[0][1155/2187] Loss_D: 0.3256 Loss_G: 3.9889 R1: 0.0407 R2: 0.0410 w_avg: [ 0.4770, 0.3690, 0.3364, ..., -0.0543, 0.0377, 0.1415]
INFO:root:[0][1156/2187] Loss_D: 0.2169 Loss_G: 3.8267 R1: 0.0368 R2: 0.0309 w_avg: [ 0.4779, 0.3687, 0.3364, ..., -0.0544, 0.0377, 0.1414]
INFO:root:[0][1157/2187] Loss_D: 0.1910 Loss_G: 4.2386 R1: 0.0435 R2: 0.0264 w_avg: [ 0.4787, 0.3692, 0.3369, ..., -0.0543, 0.0376, 0.1413]
INFO:root:[0][1158/2187] Loss_D: 0.4639 Loss_G: 3.4301 R1: 0.0319 R2: 0.0372 w_avg: [ 0.4790, 0.3694, 0.3365, ..., -0.0542, 0.0379, 0.1413]
INFO:root:[0][1159/2187] Loss_D: 0.3450 Loss_G: 3.8484 R1: 0.0403 R2: 0.0403 w_avg: [ 0.4785, 0.3692, 0.3363, ..., -0.0542, 0.0379, 0.1415]
INFO:root:[0][1160/2187] Loss_D: 0.1017 Loss_G: 3.2354 R1: 0.0404 R2: 0.0154 w_avg: [ 0.4784, 0.3697, 0.3363, ..., -0.0543, 0.0380, 0.1418]
INFO:root:[0][1161/2187] Loss_D: 0.1481 Loss_G: 3.0142 R1: 0.0404 R2: 0.0304 w_avg: [ 0.4786, 0.3695, 0.3361, ..., -0.0540, 0.0380, 0.1414]
INFO:root:[0][1162/2187] Loss_D: 0.4519 Loss_G: 4.2422 R1: 0.0270 R2: 0.0252 w_avg: [ 0.4792, 0.3693, 0.3359, ..., -0.0540, 0.0379, 0.1411]
INFO:root:[0][1163/2187] Loss_D: 0.2864 Loss_G: 3.1842 R1: 0.0312 R2: 0.0192 w_avg: [ 0.4797, 0.3704, 0.3361, ..., -0.0541, 0.0377, 0.1409]
INFO:root:[0][1164/2187] Loss_D: 0.3022 Loss_G: 3.4258 R1: 0.0348 R2: 0.0332 w_avg: [ 0.4796, 0.3703, 0.3362, ..., -0.0544, 0.0378, 0.1406]
INFO:root:[0][1165/2187] Loss_D: 0.4616 Loss_G: 2.5123 R1: 0.0347 R2: 0.0316 w_avg: [ 0.4798, 0.3702, 0.3363, ..., -0.0544, 0.0378, 0.1405]
INFO:root:[0][1166/2187] Loss_D: 0.3247 Loss_G: 3.0239 R1: 0.0360 R2: 0.0299 w_avg: [ 0.4799, 0.3700, 0.3364, ..., -0.0547, 0.0377, 0.1404]
INFO:root:[0][1167/2187] Loss_D: 0.3413 Loss_G: 2.9665 R1: 0.0351 R2: 0.0240 w_avg: [ 0.4799, 0.3695, 0.3365, ..., -0.0547, 0.0380, 0.1404]
INFO:root:[0][1168/2187] Loss_D: 0.2657 Loss_G: 3.4562 R1: 0.0378 R2: 0.0267 w_avg: [ 0.4793, 0.3697, 0.3370, ..., -0.0547, 0.0380, 0.1405]
INFO:root:[0][1169/2187] Loss_D: 0.3069 Loss_G: 3.4727 R1: 0.0340 R2: 0.0324 w_avg: [ 0.4786, 0.3701, 0.3368, ..., -0.0545, 0.0378, 0.1405]
INFO:root:[0][1170/2187] Loss_D: 0.3038 Loss_G: 2.7294 R1: 0.0373 R2: 0.0319 w_avg: [ 0.4780, 0.3702, 0.3372, ..., -0.0546, 0.0378, 0.1405]
INFO:root:[0][1171/2187] Loss_D: 0.1305 Loss_G: 3.0087 R1: 0.0401 R2: 0.0240 w_avg: [ 0.4776, 0.3697, 0.3370, ..., -0.0547, 0.0377, 0.1404]
INFO:root:[0][1172/2187] Loss_D: 0.2714 Loss_G: 3.9463 R1: 0.0372 R2: 0.0337 w_avg: [ 0.4771, 0.3693, 0.3368, ..., -0.0548, 0.0379, 0.1409]
INFO:root:[0][1173/2187] Loss_D: 0.2282 Loss_G: 2.8876 R1: 0.0413 R2: 0.0399 w_avg: [ 0.4772, 0.3690, 0.3373, ..., -0.0547, 0.0380, 0.1406]
INFO:root:[0][1174/2187] Loss_D: 0.5429 Loss_G: 4.7645 R1: 0.0331 R2: 0.0302 w_avg: [ 0.4770, 0.3694, 0.3374, ..., -0.0546, 0.0379, 0.1407]
INFO:root:[0][1175/2187] Loss_D: 0.1532 Loss_G: 5.2448 R1: 0.0305 R2: 0.0505 w_avg: [ 0.4765, 0.3695, 0.3368, ..., -0.0548, 0.0377, 0.1406]
INFO:root:[0][1176/2187] Loss_D: 0.5605 Loss_G: 5.3853 R1: 0.0328 R2: 0.0502 w_avg: [ 0.4762, 0.3692, 0.3368, ..., -0.0544, 0.0375, 0.1405]
INFO:root:[0][1177/2187] Loss_D: 0.1794 Loss_G: 3.0227 R1: 0.0382 R2: 0.0368 w_avg: [ 0.4760, 0.3687, 0.3368, ..., -0.0543, 0.0377, 0.1403]
INFO:root:[0][1178/2187] Loss_D: 0.4902 Loss_G: 4.0787 R1: 0.0326 R2: 0.0277 w_avg: [ 0.4759, 0.3692, 0.3374, ..., -0.0540, 0.0374, 0.1403]
INFO:root:[0][1179/2187] Loss_D: 0.1721 Loss_G: 3.4496 R1: 0.0369 R2: 0.0315 w_avg: [ 0.4760, 0.3693, 0.3376, ..., -0.0542, 0.0378, 0.1406]
INFO:root:[0][1180/2187] Loss_D: 0.4208 Loss_G: 4.1151 R1: 0.0316 R2: 0.0313 w_avg: [ 0.4760, 0.3696, 0.3382, ..., -0.0544, 0.0382, 0.1407]
INFO:root:[0][1181/2187] Loss_D: 0.1506 Loss_G: 3.3615 R1: 0.0280 R2: 0.0307 w_avg: [ 0.4759, 0.3705, 0.3385, ..., -0.0547, 0.0388, 0.1403]
INFO:root:[0][1182/2187] Loss_D: 0.2647 Loss_G: 3.2720 R1: 0.0275 R2: 0.0296 w_avg: [ 0.4763, 0.3705, 0.3388, ..., -0.0547, 0.0393, 0.1403]
INFO:root:[0][1183/2187] Loss_D: 0.1349 Loss_G: 3.3121 R1: 0.0292 R2: 0.0263 w_avg: [ 0.4756, 0.3702, 0.3386, ..., -0.0548, 0.0393, 0.1406]
INFO:root:[0][1184/2187] Loss_D: 0.4535 Loss_G: 3.3020 R1: 0.0277 R2: 0.0384 w_avg: [ 0.4754, 0.3703, 0.3395, ..., -0.0548, 0.0394, 0.1403]
INFO:root:[0][1185/2187] Loss_D: 0.3190 Loss_G: 3.2080 R1: 0.0354 R2: 0.0310 w_avg: [ 0.4754, 0.3706, 0.3396, ..., -0.0551, 0.0396, 0.1403]
INFO:root:[0][1186/2187] Loss_D: 0.1955 Loss_G: 3.4003 R1: 0.0370 R2: 0.0411 w_avg: [ 0.4753, 0.3705, 0.3395, ..., -0.0553, 0.0394, 0.1403]
INFO:root:[0][1187/2187] Loss_D: 0.1824 Loss_G: 3.5237 R1: 0.0356 R2: 0.0332 w_avg: [ 0.4747, 0.3703, 0.3392, ..., -0.0553, 0.0394, 0.1400]
INFO:root:[0][1188/2187] Loss_D: 0.2116 Loss_G: 3.2219 R1: 0.0360 R2: 0.0366 w_avg: [ 0.4747, 0.3707, 0.3391, ..., -0.0551, 0.0394, 0.1398]
INFO:root:[0][1189/2187] Loss_D: 0.1956 Loss_G: 3.0027 R1: 0.0329 R2: 0.0334 w_avg: [ 0.4745, 0.3708, 0.3396, ..., -0.0553, 0.0400, 0.1395]
INFO:root:[0][1190/2187] Loss_D: 0.2218 Loss_G: 2.8341 R1: 0.0318 R2: 0.0395 w_avg: [ 0.4748, 0.3712, 0.3402, ..., -0.0554, 0.0396, 0.1398]
INFO:root:[0][1191/2187] Loss_D: 0.4501 Loss_G: 3.3845 R1: 0.0345 R2: 0.0414 w_avg: [ 0.4746, 0.3710, 0.3403, ..., -0.0554, 0.0401, 0.1400]
INFO:root:[0][1192/2187] Loss_D: 0.1171 Loss_G: 3.0557 R1: 0.0332 R2: 0.0275 w_avg: [ 0.4744, 0.3708, 0.3400, ..., -0.0555, 0.0401, 0.1399]
INFO:root:[0][1193/2187] Loss_D: 0.2573 Loss_G: 3.5023 R1: 0.0299 R2: 0.0354 w_avg: [ 0.4742, 0.3707, 0.3401, ..., -0.0558, 0.0400, 0.1395]
INFO:root:[0][1194/2187] Loss_D: 0.2639 Loss_G: 3.0369 R1: 0.0325 R2: 0.0289 w_avg: [ 0.4738, 0.3708, 0.3400, ..., -0.0558, 0.0399, 0.1395]
INFO:root:[0][1195/2187] Loss_D: 0.2265 Loss_G: 2.2398 R1: 0.0314 R2: 0.0333 w_avg: [ 0.4736, 0.3710, 0.3399, ..., -0.0556, 0.0400, 0.1394]
INFO:root:[0][1196/2187] Loss_D: 0.2447 Loss_G: 2.2500 R1: 0.0295 R2: 0.0343 w_avg: [ 0.4728, 0.3709, 0.3396, ..., -0.0556, 0.0403, 0.1393]
INFO:root:[0][1197/2187] Loss_D: 0.1293 Loss_G: 3.4823 R1: 0.0380 R2: 0.0224 w_avg: [ 0.4727, 0.3707, 0.3393, ..., -0.0555, 0.0403, 0.1393]
INFO:root:[0][1198/2187] Loss_D: 0.1661 Loss_G: 2.8523 R1: 0.0314 R2: 0.0321 w_avg: [ 0.4725, 0.3714, 0.3396, ..., -0.0556, 0.0401, 0.1394]
INFO:root:[0][1199/2187] Loss_D: 0.1700 Loss_G: 3.9434 R1: 0.0362 R2: 0.0194 w_avg: [ 0.4723, 0.3714, 0.3394, ..., -0.0559, 0.0401, 0.1393]
INFO:root:[0][1200/2187] Loss_D: 0.2111 Loss_G: 4.2117 R1: 0.0353 R2: 0.0452 w_avg: [ 0.4723, 0.3716, 0.3396, ..., -0.0560, 0.0400, 0.1393]
INFO:root:[0][1201/2187] Loss_D: 0.1964 Loss_G: 2.8857 R1: 0.0403 R2: 0.0300 w_avg: [ 0.4722, 0.3717, 0.3396, ..., -0.0561, 0.0401, 0.1392]
INFO:root:[0][1202/2187] Loss_D: 0.2451 Loss_G: 3.6101 R1: 0.0348 R2: 0.0392 w_avg: [ 0.4719, 0.3719, 0.3393, ..., -0.0562, 0.0398, 0.1395]
INFO:root:[0][1203/2187] Loss_D: 0.2854 Loss_G: 4.3745 R1: 0.0426 R2: 0.0360 w_avg: [ 0.4717, 0.3717, 0.3393, ..., -0.0561, 0.0398, 0.1397]
INFO:root:[0][1204/2187] Loss_D: 0.4944 Loss_G: 3.2049 R1: 0.0331 R2: 0.0331 w_avg: [ 0.4715, 0.3716, 0.3390, ..., -0.0562, 0.0399, 0.1395]
INFO:root:[0][1205/2187] Loss_D: 0.3096 Loss_G: 2.9093 R1: 0.0281 R2: 0.0334 w_avg: [ 0.4719, 0.3718, 0.3391, ..., -0.0563, 0.0397, 0.1399]
INFO:root:[0][1206/2187] Loss_D: 0.2546 Loss_G: 3.2775 R1: 0.0301 R2: 0.0373 w_avg: [ 0.4720, 0.3715, 0.3390, ..., -0.0564, 0.0399, 0.1398]
INFO:root:[0][1207/2187] Loss_D: 0.2228 Loss_G: 3.0555 R1: 0.0326 R2: 0.0333 w_avg: [ 0.4720, 0.3712, 0.3391, ..., -0.0566, 0.0399, 0.1394]
INFO:root:[0][1208/2187] Loss_D: 0.1812 Loss_G: 3.4571 R1: 0.0318 R2: 0.0360 w_avg: [ 0.4723, 0.3706, 0.3387, ..., -0.0568, 0.0397, 0.1391]
INFO:root:[0][1209/2187] Loss_D: 0.2240 Loss_G: 2.9299 R1: 0.0302 R2: 0.0305 w_avg: [ 0.4723, 0.3707, 0.3388, ..., -0.0568, 0.0402, 0.1392]
INFO:root:[0][1210/2187] Loss_D: 0.2912 Loss_G: 2.8485 R1: 0.0359 R2: 0.0384 w_avg: [ 0.4723, 0.3707, 0.3387, ..., -0.0568, 0.0399, 0.1394]
INFO:root:[0][1211/2187] Loss_D: 0.3115 Loss_G: 2.6323 R1: 0.0371 R2: 0.0347 w_avg: [ 0.4722, 0.3705, 0.3386, ..., -0.0569, 0.0398, 0.1393]
INFO:root:[0][1212/2187] Loss_D: 0.2818 Loss_G: 2.5773 R1: 0.0365 R2: 0.0327 w_avg: [ 0.4721, 0.3711, 0.3382, ..., -0.0567, 0.0395, 0.1391]
INFO:root:[0][1213/2187] Loss_D: 0.3613 Loss_G: 3.5149 R1: 0.0337 R2: 0.0369 w_avg: [ 0.4727, 0.3711, 0.3387, ..., -0.0561, 0.0397, 0.1397]
INFO:root:[0][1214/2187] Loss_D: 0.2675 Loss_G: 2.4956 R1: 0.0333 R2: 0.0345 w_avg: [ 0.4723, 0.3714, 0.3392, ..., -0.0563, 0.0395, 0.1394]
INFO:root:[0][1215/2187] Loss_D: 0.2538 Loss_G: 2.9766 R1: 0.0374 R2: 0.0326 w_avg: [ 0.4720, 0.3717, 0.3387, ..., -0.0563, 0.0393, 0.1392]
INFO:root:[0][1216/2187] Loss_D: 0.2604 Loss_G: 2.4099 R1: 0.0413 R2: 0.0220 w_avg: [ 0.4717, 0.3715, 0.3388, ..., -0.0565, 0.0395, 0.1391]
INFO:root:[0][1217/2187] Loss_D: 0.3673 Loss_G: 2.6556 R1: 0.0408 R2: 0.0350 w_avg: [ 0.4714, 0.3716, 0.3387, ..., -0.0567, 0.0398, 0.1390]
INFO:root:[0][1218/2187] Loss_D: 0.4731 Loss_G: 2.4381 R1: 0.0377 R2: 0.0338 w_avg: [ 0.4713, 0.3722, 0.3383, ..., -0.0567, 0.0400, 0.1389]
INFO:root:[0][1219/2187] Loss_D: 0.2597 Loss_G: 3.0503 R1: 0.0380 R2: 0.0364 w_avg: [ 0.4710, 0.3721, 0.3385, ..., -0.0570, 0.0405, 0.1390]
INFO:root:[0][1220/2187] Loss_D: 0.3529 Loss_G: 3.0672 R1: 0.0418 R2: 0.0306 w_avg: [ 0.4710, 0.3721, 0.3380, ..., -0.0571, 0.0410, 0.1388]
INFO:root:[0][1221/2187] Loss_D: 0.2677 Loss_G: 2.6426 R1: 0.0360 R2: 0.0346 w_avg: [ 0.4709, 0.3720, 0.3380, ..., -0.0574, 0.0410, 0.1384]
INFO:root:[0][1222/2187] Loss_D: 0.2504 Loss_G: 2.2380 R1: 0.0388 R2: 0.0364 w_avg: [ 0.4704, 0.3725, 0.3374, ..., -0.0573, 0.0408, 0.1384]
INFO:root:[0][1223/2187] Loss_D: 0.4207 Loss_G: 2.7042 R1: 0.0380 R2: 0.0346 w_avg: [ 0.4703, 0.3728, 0.3372, ..., -0.0575, 0.0405, 0.1385]
INFO:root:[0][1224/2187] Loss_D: 0.2403 Loss_G: 2.3738 R1: 0.0374 R2: 0.0297 w_avg: [ 0.4700, 0.3731, 0.3373, ..., -0.0573, 0.0402, 0.1382]
INFO:root:[0][1225/2187] Loss_D: 0.2497 Loss_G: 3.1142 R1: 0.0423 R2: 0.0315 w_avg: [ 0.4700, 0.3732, 0.3380, ..., -0.0575, 0.0404, 0.1385]
INFO:root:[0][1226/2187] Loss_D: 0.2405 Loss_G: 2.4536 R1: 0.0407 R2: 0.0362 w_avg: [ 0.4693, 0.3731, 0.3379, ..., -0.0575, 0.0403, 0.1387]
INFO:root:[0][1227/2187] Loss_D: 0.3213 Loss_G: 2.8544 R1: 0.0450 R2: 0.0272 w_avg: [ 0.4693, 0.3733, 0.3385, ..., -0.0577, 0.0401, 0.1390]
INFO:root:[0][1228/2187] Loss_D: 0.2313 Loss_G: 3.5469 R1: 0.0431 R2: 0.0247 w_avg: [ 0.4694, 0.3734, 0.3388, ..., -0.0578, 0.0400, 0.1386]
INFO:root:[0][1229/2187] Loss_D: 0.1931 Loss_G: 2.6785 R1: 0.0391 R2: 0.0354 w_avg: [ 0.4693, 0.3735, 0.3392, ..., -0.0579, 0.0405, 0.1383]
INFO:root:[0][1230/2187] Loss_D: 0.3041 Loss_G: 3.0333 R1: 0.0379 R2: 0.0428 w_avg: [ 0.4686, 0.3735, 0.3389, ..., -0.0580, 0.0407, 0.1386]
INFO:root:[0][1231/2187] Loss_D: 0.2061 Loss_G: 3.0268 R1: 0.0425 R2: 0.0381 w_avg: [ 0.4686, 0.3738, 0.3388, ..., -0.0583, 0.0403, 0.1383]
INFO:root:[0][1232/2187] Loss_D: 0.4157 Loss_G: 2.3592 R1: 0.0377 R2: 0.0466 w_avg: [ 0.4682, 0.3738, 0.3384, ..., -0.0585, 0.0404, 0.1380]
INFO:root:[0][1233/2187] Loss_D: 0.1821 Loss_G: 3.0092 R1: 0.0368 R2: 0.0102 w_avg: [ 0.4679, 0.3732, 0.3381, ..., -0.0588, 0.0403, 0.1381]
INFO:root:[0][1234/2187] Loss_D: 0.1621 Loss_G: 2.2299 R1: 0.0441 R2: 0.0355 w_avg: [ 0.4675, 0.3730, 0.3377, ..., -0.0589, 0.0401, 0.1383]
INFO:root:[0][1235/2187] Loss_D: 0.2778 Loss_G: 2.8532 R1: 0.0411 R2: 0.0316 w_avg: [ 0.4677, 0.3725, 0.3375, ..., -0.0589, 0.0400, 0.1387]
INFO:root:[0][1236/2187] Loss_D: 0.2107 Loss_G: 2.8275 R1: 0.0379 R2: 0.0220 w_avg: [ 0.4677, 0.3723, 0.3373, ..., -0.0590, 0.0406, 0.1385]
INFO:root:[0][1237/2187] Loss_D: 0.1443 Loss_G: 2.4023 R1: 0.0388 R2: 0.0272 w_avg: [ 0.4672, 0.3726, 0.3371, ..., -0.0591, 0.0405, 0.1385]
INFO:root:[0][1238/2187] Loss_D: 0.1768 Loss_G: 3.1922 R1: 0.0411 R2: 0.0277 w_avg: [ 0.4674, 0.3724, 0.3373, ..., -0.0590, 0.0404, 0.1387]
INFO:root:[0][1239/2187] Loss_D: 0.2384 Loss_G: 2.9301 R1: 0.0417 R2: 0.0328 w_avg: [ 0.4672, 0.3723, 0.3372, ..., -0.0590, 0.0404, 0.1388]
INFO:root:[0][1240/2187] Loss_D: 0.2355 Loss_G: 2.8670 R1: 0.0407 R2: 0.0413 w_avg: [ 0.4670, 0.3721, 0.3373, ..., -0.0590, 0.0410, 0.1387]
INFO:root:[0][1241/2187] Loss_D: 0.2316 Loss_G: 2.8095 R1: 0.0403 R2: 0.0349 w_avg: [ 0.4668, 0.3723, 0.3372, ..., -0.0592, 0.0409, 0.1383]
INFO:root:[0][1242/2187] Loss_D: 0.1438 Loss_G: 2.9708 R1: 0.0398 R2: 0.0297 w_avg: [ 0.4672, 0.3729, 0.3377, ..., -0.0592, 0.0407, 0.1381]
INFO:root:[0][1243/2187] Loss_D: 0.1607 Loss_G: 2.6182 R1: 0.0355 R2: 0.0273 w_avg: [ 0.4670, 0.3735, 0.3375, ..., -0.0594, 0.0406, 0.1381]
INFO:root:[0][1244/2187] Loss_D: 0.4181 Loss_G: 3.3286 R1: 0.0421 R2: 0.0318 w_avg: [ 0.4667, 0.3730, 0.3372, ..., -0.0592, 0.0406, 0.1381]
INFO:root:[0][1245/2187] Loss_D: 0.5254 Loss_G: 2.7733 R1: 0.0440 R2: 0.0316 w_avg: [ 0.4669, 0.3732, 0.3373, ..., -0.0593, 0.0407, 0.1385]
INFO:root:[0][1246/2187] Loss_D: 0.3071 Loss_G: 2.3486 R1: 0.0432 R2: 0.0371 w_avg: [ 0.4667, 0.3736, 0.3376, ..., -0.0595, 0.0409, 0.1388]
INFO:root:[0][1247/2187] Loss_D: 0.4660 Loss_G: 3.4542 R1: 0.0463 R2: 0.0342 w_avg: [ 0.4663, 0.3731, 0.3372, ..., -0.0598, 0.0409, 0.1391]
INFO:root:[0][1248/2187] Loss_D: 0.2435 Loss_G: 2.1612 R1: 0.0401 R2: 0.0225 w_avg: [ 0.4661, 0.3731, 0.3374, ..., -0.0598, 0.0408, 0.1389]
INFO:root:[0][1249/2187] Loss_D: 0.2771 Loss_G: 2.9168 R1: 0.0351 R2: 0.0296 w_avg: [ 0.4654, 0.3732, 0.3374, ..., -0.0599, 0.0407, 0.1389]
INFO:root:[0][1250/2187] Loss_D: 0.3613 Loss_G: 2.8737 R1: 0.0379 R2: 0.0406 w_avg: [ 0.4652, 0.3735, 0.3378, ..., -0.0598, 0.0406, 0.1394]
INFO:root:[0][1251/2187] Loss_D: 0.2851 Loss_G: 2.9478 R1: 0.0396 R2: 0.0278 w_avg: [ 0.4659, 0.3739, 0.3380, ..., -0.0600, 0.0406, 0.1392]
INFO:root:[0][1252/2187] Loss_D: 0.2049 Loss_G: 2.7963 R1: 0.0384 R2: 0.0312 w_avg: [ 0.4654, 0.3737, 0.3379, ..., -0.0600, 0.0404, 0.1391]
INFO:root:[0][1253/2187] Loss_D: 0.1772 Loss_G: 2.3806 R1: 0.0396 R2: 0.0331 w_avg: [ 0.4659, 0.3738, 0.3380, ..., -0.0598, 0.0402, 0.1391]
INFO:root:[0][1254/2187] Loss_D: 0.2413 Loss_G: 2.9628 R1: 0.0335 R2: 0.0296 w_avg: [ 0.4652, 0.3737, 0.3379, ..., -0.0601, 0.0400, 0.1391]
INFO:root:[0][1255/2187] Loss_D: 0.1419 Loss_G: 3.1278 R1: 0.0357 R2: 0.0210 w_avg: [ 0.4653, 0.3734, 0.3382, ..., -0.0602, 0.0404, 0.1390]
INFO:root:[0][1256/2187] Loss_D: 0.1768 Loss_G: 3.0476 R1: 0.0381 R2: 0.0262 w_avg: [ 0.4650, 0.3735, 0.3378, ..., -0.0602, 0.0403, 0.1391]
INFO:root:[0][1257/2187] Loss_D: 0.1732 Loss_G: 2.7554 R1: 0.0395 R2: 0.0348 w_avg: [ 0.4647, 0.3735, 0.3385, ..., -0.0597, 0.0401, 0.1391]
INFO:root:[0][1258/2187] Loss_D: 0.2161 Loss_G: 3.3635 R1: 0.0427 R2: 0.0387 w_avg: [ 0.4648, 0.3738, 0.3390, ..., -0.0596, 0.0400, 0.1394]
INFO:root:[0][1259/2187] Loss_D: 0.1646 Loss_G: 2.9400 R1: 0.0403 R2: 0.0332 w_avg: [ 0.4646, 0.3737, 0.3385, ..., -0.0594, 0.0400, 0.1399]
INFO:root:[0][1260/2187] Loss_D: 0.2760 Loss_G: 3.1296 R1: 0.0382 R2: 0.0382 w_avg: [ 0.4642, 0.3735, 0.3382, ..., -0.0594, 0.0399, 0.1400]
INFO:root:[0][1261/2187] Loss_D: 0.3450 Loss_G: 3.0331 R1: 0.0364 R2: 0.0283 w_avg: [ 0.4645, 0.3736, 0.3387, ..., -0.0593, 0.0398, 0.1398]
INFO:root:[0][1262/2187] Loss_D: 0.4648 Loss_G: 2.1139 R1: 0.0375 R2: 0.0340 w_avg: [ 0.4652, 0.3740, 0.3389, ..., -0.0594, 0.0396, 0.1399]
INFO:root:[0][1263/2187] Loss_D: 0.7713 Loss_G: 2.2948 R1: 0.0325 R2: 0.0253 w_avg: [ 0.4651, 0.3741, 0.3386, ..., -0.0596, 0.0394, 0.1403]
INFO:root:[0][1264/2187] Loss_D: 0.1677 Loss_G: 2.6970 R1: 0.0379 R2: 0.0146 w_avg: [ 0.4647, 0.3741, 0.3387, ..., -0.0597, 0.0393, 0.1403]
INFO:root:[0][1265/2187] Loss_D: 0.2918 Loss_G: 2.2005 R1: 0.0339 R2: 0.0224 w_avg: [ 0.4643, 0.3745, 0.3383, ..., -0.0599, 0.0390, 0.1405]
INFO:root:[0][1266/2187] Loss_D: 0.3335 Loss_G: 2.8042 R1: 0.0384 R2: 0.0291 w_avg: [ 0.4647, 0.3746, 0.3382, ..., -0.0598, 0.0388, 0.1405]
INFO:root:[0][1267/2187] Loss_D: 0.2189 Loss_G: 2.5475 R1: 0.0342 R2: 0.0285 w_avg: [ 0.4646, 0.3745, 0.3379, ..., -0.0600, 0.0388, 0.1402]
INFO:root:[0][1268/2187] Loss_D: 0.3597 Loss_G: 3.4742 R1: 0.0326 R2: 0.0328 w_avg: [ 0.4648, 0.3745, 0.3379, ..., -0.0604, 0.0387, 0.1407]
INFO:root:[0][1269/2187] Loss_D: 0.3649 Loss_G: 2.9978 R1: 0.0286 R2: 0.0236 w_avg: [ 0.4647, 0.3749, 0.3380, ..., -0.0606, 0.0386, 0.1405]
INFO:root:[0][1270/2187] Loss_D: 0.2476 Loss_G: 2.4473 R1: 0.0363 R2: 0.0308 w_avg: [ 0.4641, 0.3746, 0.3381, ..., -0.0604, 0.0387, 0.1405]
INFO:root:[0][1271/2187] Loss_D: 0.1954 Loss_G: 2.5733 R1: 0.0375 R2: 0.0280 w_avg: [ 0.4643, 0.3751, 0.3383, ..., -0.0601, 0.0385, 0.1404]
INFO:root:[0][1272/2187] Loss_D: 0.2317 Loss_G: 2.5939 R1: 0.0377 R2: 0.0302 w_avg: [ 0.4642, 0.3746, 0.3380, ..., -0.0599, 0.0386, 0.1405]
INFO:root:[0][1273/2187] Loss_D: 0.3332 Loss_G: 2.7879 R1: 0.0401 R2: 0.0309 w_avg: [ 0.4640, 0.3743, 0.3379, ..., -0.0599, 0.0389, 0.1403]
INFO:root:[0][1274/2187] Loss_D: 0.2868 Loss_G: 2.4549 R1: 0.0385 R2: 0.0282 w_avg: [ 0.4641, 0.3745, 0.3384, ..., -0.0598, 0.0385, 0.1406]
INFO:root:[0][1275/2187] Loss_D: 0.2742 Loss_G: 2.9447 R1: 0.0390 R2: 0.0274 w_avg: [ 0.4640, 0.3744, 0.3390, ..., -0.0599, 0.0384, 0.1407]
INFO:root:[0][1276/2187] Loss_D: 0.3818 Loss_G: 2.5329 R1: 0.0390 R2: 0.0241 w_avg: [ 0.4638, 0.3742, 0.3387, ..., -0.0601, 0.0380, 0.1405]
INFO:root:[0][1277/2187] Loss_D: 0.4453 Loss_G: 3.3374 R1: 0.0443 R2: 0.0363 w_avg: [ 0.4640, 0.3743, 0.3382, ..., -0.0597, 0.0379, 0.1407]
INFO:root:[0][1278/2187] Loss_D: 0.2564 Loss_G: 2.6413 R1: 0.0419 R2: 0.0175 w_avg: [ 0.4641, 0.3741, 0.3382, ..., -0.0597, 0.0376, 0.1408]
INFO:root:[0][1279/2187] Loss_D: 0.2193 Loss_G: 3.0834 R1: 0.0443 R2: 0.0291 w_avg: [ 0.4637, 0.3740, 0.3378, ..., -0.0596, 0.0376, 0.1409]
INFO:root:[0][1280/2187] Loss_D: 0.2947 Loss_G: 2.9629 R1: 0.0400 R2: 0.0339 w_avg: [ 0.4634, 0.3737, 0.3377, ..., -0.0598, 0.0377, 0.1412]
INFO:root:[0][1281/2187] Loss_D: 0.3284 Loss_G: 2.5872 R1: 0.0366 R2: 0.0341 w_avg: [ 0.4629, 0.3736, 0.3373, ..., -0.0599, 0.0374, 0.1407]
INFO:root:[0][1282/2187] Loss_D: 0.4104 Loss_G: 2.4492 R1: 0.0335 R2: 0.0200 w_avg: [ 0.4621, 0.3735, 0.3365, ..., -0.0599, 0.0370, 0.1404]
INFO:root:[0][1283/2187] Loss_D: 0.2420 Loss_G: 2.2494 R1: 0.0413 R2: 0.0276 w_avg: [ 0.4620, 0.3736, 0.3364, ..., -0.0599, 0.0369, 0.1409]
INFO:root:[0][1284/2187] Loss_D: 0.2388 Loss_G: 3.0285 R1: 0.0431 R2: 0.0267 w_avg: [ 0.4617, 0.3738, 0.3366, ..., -0.0602, 0.0366, 0.1406]
INFO:root:[0][1285/2187] Loss_D: 0.2604 Loss_G: 2.6332 R1: 0.0397 R2: 0.0331 w_avg: [ 0.4615, 0.3733, 0.3371, ..., -0.0602, 0.0370, 0.1408]
INFO:root:[0][1286/2187] Loss_D: 0.2073 Loss_G: 2.7495 R1: 0.0460 R2: 0.0241 w_avg: [ 0.4613, 0.3730, 0.3368, ..., -0.0603, 0.0367, 0.1408]
INFO:root:[0][1287/2187] Loss_D: 0.2057 Loss_G: 2.8364 R1: 0.0398 R2: 0.0325 w_avg: [ 0.4619, 0.3731, 0.3369, ..., -0.0604, 0.0366, 0.1405]
INFO:root:[0][1288/2187] Loss_D: 0.3865 Loss_G: 2.9263 R1: 0.0483 R2: 0.0284 w_avg: [ 0.4621, 0.3735, 0.3367, ..., -0.0602, 0.0369, 0.1404]
INFO:root:[0][1289/2187] Loss_D: 0.3389 Loss_G: 3.7751 R1: 0.0471 R2: 0.0466 w_avg: [ 0.4619, 0.3730, 0.3367, ..., -0.0603, 0.0369, 0.1402]
INFO:root:[0][1290/2187] Loss_D: 0.5371 Loss_G: 3.9111 R1: 0.0553 R2: 0.0357 w_avg: [ 0.4613, 0.3723, 0.3368, ..., -0.0605, 0.0366, 0.1400]
INFO:root:[0][1291/2187] Loss_D: 0.3662 Loss_G: 2.5587 R1: 0.0366 R2: 0.0343 w_avg: [ 0.4614, 0.3722, 0.3369, ..., -0.0602, 0.0363, 0.1401]
INFO:root:[0][1292/2187] Loss_D: 0.3316 Loss_G: 3.1895 R1: 0.0412 R2: 0.0338 w_avg: [ 0.4611, 0.3726, 0.3367, ..., -0.0604, 0.0364, 0.1402]
INFO:root:[0][1293/2187] Loss_D: 0.3361 Loss_G: 3.0196 R1: 0.0402 R2: 0.0355 w_avg: [ 0.4605, 0.3730, 0.3362, ..., -0.0606, 0.0367, 0.1399]
INFO:root:[0][1294/2187] Loss_D: 0.2085 Loss_G: 3.0439 R1: 0.0407 R2: 0.0351 w_avg: [ 0.4600, 0.3725, 0.3363, ..., -0.0608, 0.0365, 0.1397]
INFO:root:[0][1295/2187] Loss_D: 0.2392 Loss_G: 2.3210 R1: 0.0452 R2: 0.0245 w_avg: [ 0.4602, 0.3723, 0.3362, ..., -0.0608, 0.0365, 0.1401]
INFO:root:[0][1296/2187] Loss_D: 0.1831 Loss_G: 2.7196 R1: 0.0441 R2: 0.0335 w_avg: [ 0.4593, 0.3729, 0.3366, ..., -0.0610, 0.0364, 0.1405]
INFO:root:[0][1297/2187] Loss_D: 0.4764 Loss_G: 3.1764 R1: 0.0395 R2: 0.0392 w_avg: [ 0.4596, 0.3728, 0.3367, ..., -0.0609, 0.0361, 0.1409]
INFO:root:[0][1298/2187] Loss_D: 0.4289 Loss_G: 3.2359 R1: 0.0533 R2: 0.0201 w_avg: [ 0.4585, 0.3729, 0.3364, ..., -0.0610, 0.0357, 0.1406]
INFO:root:[0][1299/2187] Loss_D: 0.2632 Loss_G: 2.6371 R1: 0.0457 R2: 0.0191 w_avg: [ 0.4590, 0.3732, 0.3367, ..., -0.0612, 0.0356, 0.1404]
INFO:root:[0][1300/2187] Loss_D: 0.1738 Loss_G: 4.5259 R1: 0.0440 R2: 0.0212 w_avg: [ 0.4595, 0.3733, 0.3372, ..., -0.0612, 0.0360, 0.1404]
INFO:root:[0][1301/2187] Loss_D: 0.1755 Loss_G: 3.2293 R1: 0.0388 R2: 0.0253 w_avg: [ 0.4594, 0.3741, 0.3376, ..., -0.0611, 0.0360, 0.1407]
INFO:root:[0][1302/2187] Loss_D: 0.1647 Loss_G: 2.5901 R1: 0.0379 R2: 0.0306 w_avg: [ 0.4589, 0.3749, 0.3379, ..., -0.0611, 0.0358, 0.1405]
INFO:root:[0][1303/2187] Loss_D: 0.3287 Loss_G: 2.9291 R1: 0.0399 R2: 0.0363 w_avg: [ 0.4585, 0.3747, 0.3379, ..., -0.0610, 0.0360, 0.1406]
INFO:root:[0][1304/2187] Loss_D: 0.4161 Loss_G: 2.8395 R1: 0.0421 R2: 0.0413 w_avg: [ 0.4587, 0.3745, 0.3381, ..., -0.0608, 0.0362, 0.1408]
INFO:root:[0][1305/2187] Loss_D: 0.2410 Loss_G: 3.0720 R1: 0.0359 R2: 0.0287 w_avg: [ 0.4583, 0.3747, 0.3375, ..., -0.0610, 0.0361, 0.1409]
INFO:root:[0][1306/2187] Loss_D: 0.1939 Loss_G: 2.9834 R1: 0.0345 R2: 0.0229 w_avg: [ 0.4577, 0.3749, 0.3376, ..., -0.0611, 0.0358, 0.1411]
INFO:root:[0][1307/2187] Loss_D: 0.3067 Loss_G: 2.9766 R1: 0.0401 R2: 0.0333 w_avg: [ 0.4579, 0.3744, 0.3381, ..., -0.0609, 0.0358, 0.1413]
INFO:root:[0][1308/2187] Loss_D: 0.2641 Loss_G: 3.8483 R1: 0.0371 R2: 0.0212 w_avg: [ 0.4577, 0.3744, 0.3376, ..., -0.0609, 0.0357, 0.1412]
INFO:root:[0][1309/2187] Loss_D: 0.3000 Loss_G: 3.0110 R1: 0.0351 R2: 0.0426 w_avg: [ 0.4575, 0.3749, 0.3377, ..., -0.0611, 0.0358, 0.1411]
INFO:root:[0][1310/2187] Loss_D: 0.2843 Loss_G: 3.7834 R1: 0.0411 R2: 0.0497 w_avg: [ 0.4572, 0.3750, 0.3377, ..., -0.0613, 0.0359, 0.1410]
INFO:root:[0][1311/2187] Loss_D: 0.6328 Loss_G: 3.3751 R1: 0.0521 R2: 0.0432 w_avg: [ 0.4571, 0.3748, 0.3378, ..., -0.0614, 0.0358, 0.1411]
INFO:root:[0][1312/2187] Loss_D: 0.2164 Loss_G: 2.9465 R1: 0.0369 R2: 0.0167 w_avg: [ 0.4571, 0.3752, 0.3376, ..., -0.0617, 0.0356, 0.1409]
INFO:root:[0][1313/2187] Loss_D: 0.9109 Loss_G: 3.5300 R1: 0.0368 R2: 0.0353 w_avg: [ 0.4565, 0.3757, 0.3375, ..., -0.0618, 0.0355, 0.1409]
INFO:root:[0][1314/2187] Loss_D: 0.1343 Loss_G: 2.9135 R1: 0.0341 R2: 0.0200 w_avg: [ 0.4564, 0.3757, 0.3378, ..., -0.0619, 0.0354, 0.1411]
INFO:root:[0][1315/2187] Loss_D: 0.2039 Loss_G: 3.4326 R1: 0.0356 R2: 0.0247 w_avg: [ 0.4560, 0.3759, 0.3380, ..., -0.0621, 0.0352, 0.1415]
INFO:root:[0][1316/2187] Loss_D: 0.1708 Loss_G: 2.7044 R1: 0.0313 R2: 0.0304 w_avg: [ 0.4559, 0.3759, 0.3380, ..., -0.0620, 0.0353, 0.1413]
INFO:root:[0][1317/2187] Loss_D: 0.2267 Loss_G: 2.9557 R1: 0.0387 R2: 0.0302 w_avg: [ 0.4561, 0.3761, 0.3381, ..., -0.0622, 0.0351, 0.1410]
INFO:root:[0][1318/2187] Loss_D: 0.4804 Loss_G: 2.2229 R1: 0.0333 R2: 0.0404 w_avg: [ 0.4552, 0.3764, 0.3377, ..., -0.0623, 0.0350, 0.1409]
INFO:root:[0][1319/2187] Loss_D: 0.5003 Loss_G: 2.2975 R1: 0.0301 R2: 0.0268 w_avg: [ 0.4552, 0.3766, 0.3380, ..., -0.0624, 0.0350, 0.1407]
INFO:root:[0][1320/2187] Loss_D: 0.2542 Loss_G: 2.7233 R1: 0.0283 R2: 0.0128 w_avg: [ 0.4549, 0.3769, 0.3378, ..., -0.0626, 0.0349, 0.1406]
INFO:root:[0][1321/2187] Loss_D: 0.2206 Loss_G: 1.9223 R1: 0.0352 R2: 0.0251 w_avg: [ 0.4544, 0.3764, 0.3377, ..., -0.0626, 0.0349, 0.1402]
INFO:root:[0][1322/2187] Loss_D: 0.3905 Loss_G: 2.6516 R1: 0.0353 R2: 0.0306 w_avg: [ 0.4537, 0.3763, 0.3378, ..., -0.0629, 0.0351, 0.1403]
INFO:root:[0][1323/2187] Loss_D: 0.3617 Loss_G: 2.5571 R1: 0.0334 R2: 0.0256 w_avg: [ 0.4533, 0.3761, 0.3378, ..., -0.0630, 0.0357, 0.1400]
INFO:root:[0][1324/2187] Loss_D: 0.2063 Loss_G: 2.4080 R1: 0.0375 R2: 0.0222 w_avg: [ 0.4533, 0.3764, 0.3377, ..., -0.0630, 0.0354, 0.1398]
INFO:root:[0][1325/2187] Loss_D: 0.2689 Loss_G: 2.4245 R1: 0.0371 R2: 0.0307 w_avg: [ 0.4539, 0.3761, 0.3381, ..., -0.0631, 0.0354, 0.1397]
INFO:root:[0][1326/2187] Loss_D: 0.3061 Loss_G: 2.1832 R1: 0.0295 R2: 0.0229 w_avg: [ 0.4537, 0.3762, 0.3378, ..., -0.0630, 0.0352, 0.1398]
INFO:root:[0][1327/2187] Loss_D: 0.3571 Loss_G: 2.5616 R1: 0.0335 R2: 0.0271 w_avg: [ 0.4536, 0.3768, 0.3371, ..., -0.0630, 0.0351, 0.1398]
INFO:root:[0][1328/2187] Loss_D: 0.2643 Loss_G: 2.5676 R1: 0.0326 R2: 0.0245 w_avg: [ 0.4537, 0.3771, 0.3375, ..., -0.0631, 0.0355, 0.1398]
INFO:root:[0][1329/2187] Loss_D: 0.2256 Loss_G: 2.7426 R1: 0.0453 R2: 0.0305 w_avg: [ 0.4532, 0.3771, 0.3374, ..., -0.0631, 0.0356, 0.1401]
INFO:root:[0][1330/2187] Loss_D: 0.2275 Loss_G: 2.7508 R1: 0.0426 R2: 0.0266 w_avg: [ 0.4533, 0.3772, 0.3371, ..., -0.0633, 0.0354, 0.1400]
INFO:root:[0][1331/2187] Loss_D: 0.2968 Loss_G: 3.5463 R1: 0.0440 R2: 0.0312 w_avg: [ 0.4527, 0.3772, 0.3377, ..., -0.0631, 0.0354, 0.1399]
INFO:root:[0][1332/2187] Loss_D: 0.4154 Loss_G: 3.3483 R1: 0.0413 R2: 0.0405 w_avg: [ 0.4521, 0.3775, 0.3379, ..., -0.0631, 0.0353, 0.1397]
INFO:root:[0][1333/2187] Loss_D: 0.2071 Loss_G: 3.0968 R1: 0.0428 R2: 0.0318 w_avg: [ 0.4517, 0.3777, 0.3380, ..., -0.0629, 0.0356, 0.1397]
INFO:root:[0][1334/2187] Loss_D: 0.3084 Loss_G: 2.4144 R1: 0.0389 R2: 0.0299 w_avg: [ 0.4517, 0.3776, 0.3383, ..., -0.0628, 0.0358, 0.1395]
INFO:root:[0][1335/2187] Loss_D: 0.3574 Loss_G: 3.5275 R1: 0.0399 R2: 0.0301 w_avg: [ 0.4513, 0.3778, 0.3384, ..., -0.0631, 0.0359, 0.1395]
INFO:root:[0][1336/2187] Loss_D: 0.1904 Loss_G: 2.2383 R1: 0.0395 R2: 0.0294 w_avg: [ 0.4513, 0.3779, 0.3381, ..., -0.0629, 0.0360, 0.1395]
INFO:root:[0][1337/2187] Loss_D: 0.3575 Loss_G: 2.9205 R1: 0.0398 R2: 0.0345 w_avg: [ 0.4512, 0.3775, 0.3382, ..., -0.0630, 0.0364, 0.1395]
INFO:root:[0][1338/2187] Loss_D: 0.2796 Loss_G: 2.9928 R1: 0.0393 R2: 0.0292 w_avg: [ 0.4510, 0.3782, 0.3380, ..., -0.0628, 0.0363, 0.1396]
INFO:root:[0][1339/2187] Loss_D: 0.1732 Loss_G: 2.8834 R1: 0.0436 R2: 0.0208 w_avg: [ 0.4508, 0.3783, 0.3382, ..., -0.0628, 0.0364, 0.1393]
INFO:root:[0][1340/2187] Loss_D: 0.1982 Loss_G: 3.3054 R1: 0.0427 R2: 0.0333 w_avg: [ 0.4502, 0.3782, 0.3381, ..., -0.0631, 0.0365, 0.1396]
INFO:root:[0][1341/2187] Loss_D: 0.1894 Loss_G: 3.1588 R1: 0.0454 R2: 0.0391 w_avg: [ 0.4498, 0.3786, 0.3376, ..., -0.0633, 0.0363, 0.1394]
INFO:root:[0][1342/2187] Loss_D: 0.2282 Loss_G: 2.6187 R1: 0.0388 R2: 0.0393 w_avg: [ 0.4498, 0.3784, 0.3380, ..., -0.0635, 0.0362, 0.1393]
INFO:root:[0][1343/2187] Loss_D: 0.1803 Loss_G: 3.3328 R1: 0.0447 R2: 0.0421 w_avg: [ 0.4498, 0.3786, 0.3379, ..., -0.0633, 0.0360, 0.1392]
INFO:root:[0][1344/2187] Loss_D: 0.2543 Loss_G: 3.3492 R1: 0.0443 R2: 0.0403 w_avg: [ 0.4496, 0.3789, 0.3378, ..., -0.0634, 0.0360, 0.1392]
INFO:root:[0][1345/2187] Loss_D: 0.1891 Loss_G: 2.6091 R1: 0.0357 R2: 0.0312 w_avg: [ 0.4497, 0.3785, 0.3375, ..., -0.0636, 0.0358, 0.1391]
INFO:root:[0][1346/2187] Loss_D: 0.2365 Loss_G: 3.6213 R1: 0.0392 R2: 0.0330 w_avg: [ 0.4506, 0.3789, 0.3377, ..., -0.0636, 0.0361, 0.1392]
INFO:root:[0][1347/2187] Loss_D: 0.1550 Loss_G: 2.2929 R1: 0.0311 R2: 0.0338 w_avg: [ 0.4506, 0.3787, 0.3377, ..., -0.0638, 0.0359, 0.1392]
INFO:root:[0][1348/2187] Loss_D: 0.3111 Loss_G: 5.0909 R1: 0.0383 R2: 0.0280 w_avg: [ 0.4508, 0.3791, 0.3382, ..., -0.0639, 0.0360, 0.1390]
INFO:root:[0][1349/2187] Loss_D: 0.2234 Loss_G: 3.6800 R1: 0.0364 R2: 0.0348 w_avg: [ 0.4503, 0.3789, 0.3380, ..., -0.0641, 0.0359, 0.1394]
INFO:root:[0][1350/2187] Loss_D: 0.1086 Loss_G: 2.8969 R1: 0.0390 R2: 0.0364 w_avg: [ 0.4498, 0.3787, 0.3376, ..., -0.0640, 0.0358, 0.1394]
INFO:root:[0][1351/2187] Loss_D: 0.2063 Loss_G: 3.3372 R1: 0.0366 R2: 0.0389 w_avg: [ 0.4495, 0.3788, 0.3373, ..., -0.0642, 0.0358, 0.1390]
INFO:root:[0][1352/2187] Loss_D: 0.2979 Loss_G: 2.5671 R1: 0.0355 R2: 0.0353 w_avg: [ 0.4493, 0.3787, 0.3375, ..., -0.0643, 0.0359, 0.1388]
INFO:root:[0][1353/2187] Loss_D: 0.2867 Loss_G: 3.1712 R1: 0.0319 R2: 0.0339 w_avg: [ 0.4492, 0.3793, 0.3374, ..., -0.0641, 0.0356, 0.1394]
INFO:root:[0][1354/2187] Loss_D: 0.2254 Loss_G: 2.5502 R1: 0.0304 R2: 0.0335 w_avg: [ 0.4489, 0.3793, 0.3374, ..., -0.0641, 0.0352, 0.1392]
INFO:root:[0][1355/2187] Loss_D: 0.5736 Loss_G: 3.0324 R1: 0.0341 R2: 0.0406 w_avg: [ 0.4490, 0.3792, 0.3372, ..., -0.0644, 0.0351, 0.1390]
INFO:root:[0][1356/2187] Loss_D: 0.4365 Loss_G: 2.5511 R1: 0.0281 R2: 0.0317 w_avg: [ 0.4490, 0.3798, 0.3372, ..., -0.0643, 0.0352, 0.1389]
INFO:root:[0][1357/2187] Loss_D: 0.3392 Loss_G: 2.8126 R1: 0.0300 R2: 0.0256 w_avg: [ 0.4493, 0.3798, 0.3372, ..., -0.0643, 0.0352, 0.1387]
INFO:root:[0][1358/2187] Loss_D: 0.2391 Loss_G: 2.3053 R1: 0.0329 R2: 0.0239 w_avg: [ 0.4490, 0.3793, 0.3373, ..., -0.0642, 0.0353, 0.1385]
INFO:root:[0][1359/2187] Loss_D: 0.2466 Loss_G: 2.9283 R1: 0.0391 R2: 0.0262 w_avg: [ 0.4486, 0.3795, 0.3376, ..., -0.0641, 0.0358, 0.1382]
INFO:root:[0][1360/2187] Loss_D: 0.2155 Loss_G: 2.7811 R1: 0.0408 R2: 0.0150 w_avg: [ 0.4489, 0.3805, 0.3385, ..., -0.0639, 0.0358, 0.1379]
INFO:root:[0][1361/2187] Loss_D: 0.1892 Loss_G: 3.1040 R1: 0.0431 R2: 0.0320 w_avg: [ 0.4485, 0.3801, 0.3385, ..., -0.0641, 0.0359, 0.1377]
INFO:root:[0][1362/2187] Loss_D: 0.2404 Loss_G: 2.6491 R1: 0.0419 R2: 0.0427 w_avg: [ 0.4481, 0.3800, 0.3378, ..., -0.0639, 0.0360, 0.1381]
INFO:root:[0][1363/2187] Loss_D: 0.2259 Loss_G: 3.5355 R1: 0.0415 R2: 0.0397 w_avg: [ 0.4477, 0.3795, 0.3377, ..., -0.0641, 0.0358, 0.1381]
INFO:root:[0][1364/2187] Loss_D: 0.2132 Loss_G: 3.3050 R1: 0.0410 R2: 0.0422 w_avg: [ 0.4474, 0.3801, 0.3384, ..., -0.0640, 0.0358, 0.1381]
INFO:root:[0][1365/2187] Loss_D: 0.2504 Loss_G: 3.1365 R1: 0.0426 R2: 0.0389 w_avg: [ 0.4474, 0.3799, 0.3383, ..., -0.0643, 0.0357, 0.1378]
INFO:root:[0][1366/2187] Loss_D: 0.1317 Loss_G: 2.6682 R1: 0.0384 R2: 0.0376 w_avg: [ 0.4469, 0.3800, 0.3384, ..., -0.0642, 0.0356, 0.1376]
INFO:root:[0][1367/2187] Loss_D: 0.7356 Loss_G: 3.4322 R1: 0.0363 R2: 0.0391 w_avg: [ 0.4470, 0.3806, 0.3384, ..., -0.0644, 0.0360, 0.1374]
INFO:root:[0][1368/2187] Loss_D: 0.1922 Loss_G: 2.5676 R1: 0.0375 R2: 0.0338 w_avg: [ 0.4468, 0.3806, 0.3380, ..., -0.0642, 0.0361, 0.1374]
INFO:root:[0][1369/2187] Loss_D: 0.4598 Loss_G: 2.5741 R1: 0.0379 R2: 0.0350 w_avg: [ 0.4466, 0.3803, 0.3377, ..., -0.0642, 0.0358, 0.1374]
INFO:root:[0][1370/2187] Loss_D: 0.2076 Loss_G: 3.1195 R1: 0.0333 R2: 0.0296 w_avg: [ 0.4461, 0.3799, 0.3373, ..., -0.0644, 0.0359, 0.1370]
INFO:root:[0][1371/2187] Loss_D: 0.2005 Loss_G: 2.9247 R1: 0.0321 R2: 0.0268 w_avg: [ 0.4460, 0.3799, 0.3371, ..., -0.0644, 0.0363, 0.1367]
INFO:root:[0][1372/2187] Loss_D: 0.2580 Loss_G: 2.5933 R1: 0.0326 R2: 0.0292 w_avg: [ 0.4460, 0.3799, 0.3372, ..., -0.0645, 0.0360, 0.1364]
INFO:root:[0][1373/2187] Loss_D: 0.1936 Loss_G: 3.2980 R1: 0.0310 R2: 0.0275 w_avg: [ 0.4451, 0.3795, 0.3368, ..., -0.0646, 0.0363, 0.1364]
INFO:root:[0][1374/2187] Loss_D: 0.1506 Loss_G: 2.4934 R1: 0.0354 R2: 0.0316 w_avg: [ 0.4449, 0.3798, 0.3365, ..., -0.0648, 0.0364, 0.1365]
INFO:root:[0][1375/2187] Loss_D: 0.4947 Loss_G: 2.9776 R1: 0.0311 R2: 0.0346 w_avg: [ 0.4446, 0.3795, 0.3366, ..., -0.0650, 0.0364, 0.1364]
INFO:root:[0][1376/2187] Loss_D: 0.2783 Loss_G: 2.4445 R1: 0.0348 R2: 0.0171 w_avg: [ 0.4439, 0.3793, 0.3367, ..., -0.0650, 0.0362, 0.1362]
INFO:root:[0][1377/2187] Loss_D: 0.2727 Loss_G: 2.7341 R1: 0.0359 R2: 0.0266 w_avg: [ 0.4437, 0.3794, 0.3370, ..., -0.0651, 0.0364, 0.1361]
INFO:root:[0][1378/2187] Loss_D: 0.2820 Loss_G: 2.7430 R1: 0.0435 R2: 0.0323 w_avg: [ 0.4435, 0.3798, 0.3364, ..., -0.0652, 0.0361, 0.1358]
INFO:root:[0][1379/2187] Loss_D: 0.2536 Loss_G: 3.4607 R1: 0.0370 R2: 0.0340 w_avg: [ 0.4435, 0.3798, 0.3362, ..., -0.0652, 0.0364, 0.1358]
INFO:root:[0][1380/2187] Loss_D: 0.3828 Loss_G: 3.3275 R1: 0.0459 R2: 0.0325 w_avg: [ 0.4428, 0.3798, 0.3358, ..., -0.0654, 0.0364, 0.1356]
INFO:root:[0][1381/2187] Loss_D: 0.3449 Loss_G: 3.2701 R1: 0.0377 R2: 0.0375 w_avg: [ 0.4425, 0.3800, 0.3359, ..., -0.0655, 0.0361, 0.1354]
INFO:root:[0][1382/2187] Loss_D: 0.3687 Loss_G: 2.7252 R1: 0.0394 R2: 0.0348 w_avg: [ 0.4433, 0.3798, 0.3362, ..., -0.0656, 0.0364, 0.1360]
INFO:root:[0][1383/2187] Loss_D: 0.4806 Loss_G: 2.8309 R1: 0.0315 R2: 0.0308 w_avg: [ 0.4431, 0.3796, 0.3359, ..., -0.0657, 0.0363, 0.1363]
INFO:root:[0][1384/2187] Loss_D: 0.3500 Loss_G: 3.6457 R1: 0.0339 R2: 0.0240 w_avg: [ 0.4428, 0.3795, 0.3356, ..., -0.0658, 0.0365, 0.1363]
INFO:root:[0][1385/2187] Loss_D: 0.2492 Loss_G: 2.9176 R1: 0.0364 R2: 0.0286 w_avg: [ 0.4427, 0.3797, 0.3356, ..., -0.0657, 0.0365, 0.1364]
INFO:root:[0][1386/2187] Loss_D: 0.2604 Loss_G: 2.8926 R1: 0.0337 R2: 0.0274 w_avg: [ 0.4425, 0.3797, 0.3356, ..., -0.0658, 0.0365, 0.1364]
INFO:root:[0][1387/2187] Loss_D: 0.2357 Loss_G: 2.5347 R1: 0.0349 R2: 0.0323 w_avg: [ 0.4424, 0.3799, 0.3354, ..., -0.0657, 0.0365, 0.1359]
INFO:root:[0][1388/2187] Loss_D: 0.3710 Loss_G: 2.5712 R1: 0.0361 R2: 0.0329 w_avg: [ 0.4418, 0.3802, 0.3354, ..., -0.0657, 0.0361, 0.1357]
INFO:root:[0][1389/2187] Loss_D: 0.4434 Loss_G: 2.8266 R1: 0.0348 R2: 0.0306 w_avg: [ 0.4420, 0.3804, 0.3353, ..., -0.0659, 0.0360, 0.1357]
INFO:root:[0][1390/2187] Loss_D: 0.2482 Loss_G: 2.3173 R1: 0.0432 R2: 0.0260 w_avg: [ 0.4416, 0.3810, 0.3352, ..., -0.0660, 0.0358, 0.1356]
INFO:root:[0][1391/2187] Loss_D: 0.3933 Loss_G: 3.3838 R1: 0.0395 R2: 0.0281 w_avg: [ 0.4416, 0.3814, 0.3348, ..., -0.0661, 0.0356, 0.1359]
INFO:root:[0][1392/2187] Loss_D: 0.2148 Loss_G: 2.9039 R1: 0.0340 R2: 0.0260 w_avg: [ 0.4415, 0.3811, 0.3344, ..., -0.0658, 0.0358, 0.1359]
INFO:root:[0][1393/2187] Loss_D: 0.2547 Loss_G: 3.5461 R1: 0.0390 R2: 0.0258 w_avg: [ 0.4423, 0.3817, 0.3348, ..., -0.0658, 0.0354, 0.1357]
INFO:root:[0][1394/2187] Loss_D: 0.3174 Loss_G: 3.0093 R1: 0.0430 R2: 0.0292 w_avg: [ 0.4420, 0.3822, 0.3347, ..., -0.0657, 0.0355, 0.1355]
INFO:root:[0][1395/2187] Loss_D: 0.4532 Loss_G: 3.5406 R1: 0.0378 R2: 0.0374 w_avg: [ 0.4414, 0.3819, 0.3344, ..., -0.0658, 0.0354, 0.1355]
INFO:root:[0][1396/2187] Loss_D: 0.1928 Loss_G: 2.9432 R1: 0.0433 R2: 0.0324 w_avg: [ 0.4412, 0.3820, 0.3345, ..., -0.0660, 0.0355, 0.1354]
INFO:root:[0][1397/2187] Loss_D: 0.3848 Loss_G: 3.0123 R1: 0.0442 R2: 0.0390 w_avg: [ 0.4412, 0.3821, 0.3351, ..., -0.0661, 0.0355, 0.1356]
INFO:root:[0][1398/2187] Loss_D: 0.1911 Loss_G: 2.9099 R1: 0.0453 R2: 0.0341 w_avg: [ 0.4408, 0.3828, 0.3350, ..., -0.0662, 0.0355, 0.1357]
INFO:root:[0][1399/2187] Loss_D: 0.2328 Loss_G: 2.8755 R1: 0.0426 R2: 0.0348 w_avg: [ 0.4406, 0.3829, 0.3354, ..., -0.0664, 0.0354, 0.1356]
INFO:root:[0][1400/2187] Loss_D: 0.2510 Loss_G: 3.7654 R1: 0.0395 R2: 0.0366 w_avg: [ 0.4405, 0.3834, 0.3356, ..., -0.0663, 0.0355, 0.1356]
INFO:root:[0][1401/2187] Loss_D: 0.1637 Loss_G: 3.2591 R1: 0.0436 R2: 0.0346 w_avg: [ 0.4407, 0.3840, 0.3357, ..., -0.0662, 0.0352, 0.1357]
INFO:root:[0][1402/2187] Loss_D: 0.2862 Loss_G: 4.0150 R1: 0.0422 R2: 0.0424 w_avg: [ 0.4405, 0.3838, 0.3354, ..., -0.0665, 0.0353, 0.1352]
INFO:root:[0][1403/2187] Loss_D: 0.4403 Loss_G: 2.9257 R1: 0.0372 R2: 0.0387 w_avg: [ 0.4410, 0.3842, 0.3365, ..., -0.0663, 0.0351, 0.1353]
INFO:root:[0][1404/2187] Loss_D: 0.4339 Loss_G: 2.5068 R1: 0.0371 R2: 0.0356 w_avg: [ 0.4405, 0.3844, 0.3361, ..., -0.0664, 0.0351, 0.1349]
INFO:root:[0][1405/2187] Loss_D: 0.2152 Loss_G: 2.5813 R1: 0.0371 R2: 0.0336 w_avg: [ 0.4398, 0.3850, 0.3358, ..., -0.0663, 0.0346, 0.1353]
INFO:root:[0][1406/2187] Loss_D: 0.3800 Loss_G: 2.5547 R1: 0.0356 R2: 0.0327 w_avg: [ 0.4393, 0.3850, 0.3355, ..., -0.0661, 0.0351, 0.1351]
INFO:root:[0][1407/2187] Loss_D: 0.4220 Loss_G: 2.1134 R1: 0.0342 R2: 0.0294 w_avg: [ 0.4394, 0.3845, 0.3351, ..., -0.0662, 0.0355, 0.1347]
INFO:root:[0][1408/2187] Loss_D: 0.3098 Loss_G: 2.4056 R1: 0.0428 R2: 0.0354 w_avg: [ 0.4395, 0.3847, 0.3346, ..., -0.0663, 0.0356, 0.1346]
INFO:root:[0][1409/2187] Loss_D: 0.2279 Loss_G: 2.6318 R1: 0.0374 R2: 0.0266 w_avg: [ 0.4389, 0.3853, 0.3346, ..., -0.0662, 0.0357, 0.1349]
INFO:root:[0][1410/2187] Loss_D: 0.5338 Loss_G: 2.8163 R1: 0.0355 R2: 0.0291 w_avg: [ 0.4389, 0.3851, 0.3341, ..., -0.0661, 0.0354, 0.1345]
INFO:root:[0][1411/2187] Loss_D: 0.3878 Loss_G: 2.6529 R1: 0.0375 R2: 0.0298 w_avg: [ 0.4388, 0.3848, 0.3336, ..., -0.0660, 0.0355, 0.1347]
INFO:root:[0][1412/2187] Loss_D: 0.3660 Loss_G: 2.3136 R1: 0.0384 R2: 0.0272 w_avg: [ 0.4381, 0.3849, 0.3331, ..., -0.0658, 0.0358, 0.1351]
INFO:root:[0][1413/2187] Loss_D: 0.3398 Loss_G: 2.4070 R1: 0.0423 R2: 0.0318 w_avg: [ 0.4387, 0.3850, 0.3327, ..., -0.0659, 0.0357, 0.1350]
INFO:root:[0][1414/2187] Loss_D: 0.2775 Loss_G: 1.9849 R1: 0.0414 R2: 0.0365 w_avg: [ 0.4390, 0.3844, 0.3333, ..., -0.0661, 0.0364, 0.1347]
INFO:root:[0][1415/2187] Loss_D: 0.3113 Loss_G: 2.8323 R1: 0.0370 R2: 0.0281 w_avg: [ 0.4390, 0.3841, 0.3329, ..., -0.0661, 0.0368, 0.1345]
INFO:root:[0][1416/2187] Loss_D: 0.1695 Loss_G: 2.0352 R1: 0.0414 R2: 0.0316 w_avg: [ 0.4390, 0.3836, 0.3327, ..., -0.0663, 0.0367, 0.1344]
INFO:root:[0][1417/2187] Loss_D: 0.3953 Loss_G: 3.5091 R1: 0.0438 R2: 0.0488 w_avg: [ 0.4389, 0.3838, 0.3326, ..., -0.0665, 0.0367, 0.1346]
INFO:root:[0][1418/2187] Loss_D: 0.3062 Loss_G: 3.3742 R1: 0.0419 R2: 0.0365 w_avg: [ 0.4385, 0.3834, 0.3322, ..., -0.0667, 0.0366, 0.1344]
INFO:root:[0][1419/2187] Loss_D: 0.3632 Loss_G: 3.0099 R1: 0.0404 R2: 0.0387 w_avg: [ 0.4387, 0.3833, 0.3324, ..., -0.0668, 0.0364, 0.1348]
INFO:root:[0][1420/2187] Loss_D: 0.4089 Loss_G: 3.2381 R1: 0.0395 R2: 0.0320 w_avg: [ 0.4382, 0.3832, 0.3323, ..., -0.0670, 0.0361, 0.1347]
INFO:root:[0][1421/2187] Loss_D: 0.3955 Loss_G: 2.6888 R1: 0.0418 R2: 0.0412 w_avg: [ 0.4383, 0.3827, 0.3321, ..., -0.0672, 0.0364, 0.1345]
INFO:root:[0][1422/2187] Loss_D: 0.1731 Loss_G: 2.4787 R1: 0.0400 R2: 0.0294 w_avg: [ 0.4381, 0.3824, 0.3318, ..., -0.0671, 0.0366, 0.1344]
INFO:root:[0][1423/2187] Loss_D: 0.2643 Loss_G: 2.5986 R1: 0.0406 R2: 0.0321 w_avg: [ 0.4378, 0.3822, 0.3316, ..., -0.0669, 0.0371, 0.1343]
INFO:root:[0][1424/2187] Loss_D: 0.2588 Loss_G: 3.2631 R1: 0.0454 R2: 0.0374 w_avg: [ 0.4377, 0.3823, 0.3318, ..., -0.0672, 0.0373, 0.1343]
INFO:root:[0][1425/2187] Loss_D: 0.4090 Loss_G: 2.7320 R1: 0.0435 R2: 0.0354 w_avg: [ 0.4371, 0.3824, 0.3316, ..., -0.0671, 0.0372, 0.1344]
INFO:root:[0][1426/2187] Loss_D: 0.3017 Loss_G: 2.5460 R1: 0.0398 R2: 0.0296 w_avg: [ 0.4368, 0.3820, 0.3317, ..., -0.0673, 0.0373, 0.1340]
INFO:root:[0][1427/2187] Loss_D: 0.3827 Loss_G: 3.0684 R1: 0.0418 R2: 0.0327 w_avg: [ 0.4363, 0.3822, 0.3310, ..., -0.0672, 0.0370, 0.1345]
INFO:root:[0][1428/2187] Loss_D: 0.2517 Loss_G: 3.4863 R1: 0.0393 R2: 0.0287 w_avg: [ 0.4363, 0.3831, 0.3310, ..., -0.0670, 0.0368, 0.1347]
INFO:root:[0][1429/2187] Loss_D: 0.2879 Loss_G: 2.8893 R1: 0.0367 R2: 0.0400 w_avg: [ 0.4358, 0.3833, 0.3305, ..., -0.0668, 0.0367, 0.1352]
INFO:root:[0][1430/2187] Loss_D: 0.1765 Loss_G: 3.3718 R1: 0.0411 R2: 0.0296 w_avg: [ 0.4359, 0.3831, 0.3307, ..., -0.0668, 0.0370, 0.1349]
INFO:root:[0][1431/2187] Loss_D: 0.3202 Loss_G: 3.7884 R1: 0.0396 R2: 0.0334 w_avg: [ 0.4361, 0.3833, 0.3305, ..., -0.0670, 0.0366, 0.1346]
INFO:root:[0][1432/2187] Loss_D: 0.2586 Loss_G: 3.6514 R1: 0.0339 R2: 0.0343 w_avg: [ 0.4358, 0.3832, 0.3307, ..., -0.0672, 0.0366, 0.1349]
INFO:root:[0][1433/2187] Loss_D: 0.2309 Loss_G: 3.8566 R1: 0.0391 R2: 0.0346 w_avg: [ 0.4354, 0.3835, 0.3303, ..., -0.0673, 0.0366, 0.1349]
INFO:root:[0][1434/2187] Loss_D: 0.4178 Loss_G: 3.7258 R1: 0.0377 R2: 0.0399 w_avg: [ 0.4358, 0.3843, 0.3303, ..., -0.0673, 0.0366, 0.1352]
INFO:root:[0][1435/2187] Loss_D: 0.2591 Loss_G: 2.4560 R1: 0.0396 R2: 0.0269 w_avg: [ 0.4360, 0.3845, 0.3304, ..., -0.0675, 0.0366, 0.1350]
INFO:root:[0][1436/2187] Loss_D: 0.1488 Loss_G: 3.7145 R1: 0.0348 R2: 0.0236 w_avg: [ 0.4358, 0.3850, 0.3303, ..., -0.0674, 0.0365, 0.1350]
INFO:root:[0][1437/2187] Loss_D: 0.6554 Loss_G: 5.6580 R1: 0.0329 R2: 0.0194 w_avg: [ 0.4358, 0.3844, 0.3300, ..., -0.0675, 0.0368, 0.1354]
INFO:root:[0][1438/2187] Loss_D: 0.2399 Loss_G: 3.3150 R1: 0.0302 R2: 0.0149 w_avg: [ 0.4360, 0.3839, 0.3299, ..., -0.0676, 0.0369, 0.1351]
INFO:root:[0][1439/2187] Loss_D: 0.4331 Loss_G: 3.2495 R1: 0.0334 R2: 0.0200 w_avg: [ 0.4368, 0.3837, 0.3297, ..., -0.0677, 0.0369, 0.1356]
INFO:root:[0][1440/2187] Loss_D: 0.1959 Loss_G: 3.5772 R1: 0.0400 R2: 0.0190 w_avg: [ 0.4371, 0.3838, 0.3301, ..., -0.0679, 0.0370, 0.1358]
INFO:root:[0][1441/2187] Loss_D: 0.2399 Loss_G: 3.2680 R1: 0.0400 R2: 0.0242 w_avg: [ 0.4364, 0.3836, 0.3301, ..., -0.0676, 0.0367, 0.1354]
INFO:root:[0][1442/2187] Loss_D: 0.1893 Loss_G: 4.4647 R1: 0.0380 R2: 0.0206 w_avg: [ 0.4362, 0.3836, 0.3302, ..., -0.0678, 0.0367, 0.1356]
INFO:root:[0][1443/2187] Loss_D: 0.2750 Loss_G: 3.7559 R1: 0.0372 R2: 0.0266 w_avg: [ 0.4357, 0.3832, 0.3301, ..., -0.0678, 0.0364, 0.1353]
INFO:root:[0][1444/2187] Loss_D: 0.1468 Loss_G: 4.0952 R1: 0.0426 R2: 0.0282 w_avg: [ 0.4354, 0.3838, 0.3297, ..., -0.0676, 0.0362, 0.1352]
INFO:root:[0][1445/2187] Loss_D: 0.1368 Loss_G: 3.7407 R1: 0.0378 R2: 0.0232 w_avg: [ 0.4356, 0.3836, 0.3295, ..., -0.0674, 0.0359, 0.1354]
INFO:root:[0][1446/2187] Loss_D: 0.4331 Loss_G: 3.2064 R1: 0.0396 R2: 0.0430 w_avg: [ 0.4357, 0.3840, 0.3295, ..., -0.0675, 0.0358, 0.1354]
INFO:root:[0][1447/2187] Loss_D: 0.4108 Loss_G: 1.9035 R1: 0.0337 R2: 0.0338 w_avg: [ 0.4357, 0.3843, 0.3296, ..., -0.0675, 0.0360, 0.1355]
INFO:root:[0][1448/2187] Loss_D: 0.4215 Loss_G: 3.0989 R1: 0.0297 R2: 0.0241 w_avg: [ 0.4353, 0.3846, 0.3300, ..., -0.0672, 0.0363, 0.1353]
INFO:root:[0][1449/2187] Loss_D: 0.2041 Loss_G: 3.2695 R1: 0.0368 R2: 0.0152 w_avg: [ 0.4346, 0.3840, 0.3299, ..., -0.0673, 0.0362, 0.1352]
INFO:root:[0][1450/2187] Loss_D: 0.3103 Loss_G: 3.6462 R1: 0.0444 R2: 0.0254 w_avg: [ 0.4347, 0.3844, 0.3296, ..., -0.0673, 0.0362, 0.1352]
INFO:root:[0][1451/2187] Loss_D: 0.2183 Loss_G: 4.4535 R1: 0.0550 R2: 0.0317 w_avg: [ 0.4340, 0.3841, 0.3296, ..., -0.0674, 0.0364, 0.1351]
INFO:root:[0][1452/2187] Loss_D: 0.1377 Loss_G: 3.4528 R1: 0.0384 R2: 0.0306 w_avg: [ 0.4336, 0.3840, 0.3290, ..., -0.0674, 0.0362, 0.1350]
INFO:root:[0][1453/2187] Loss_D: 0.3102 Loss_G: 2.3641 R1: 0.0407 R2: 0.0376 w_avg: [ 0.4333, 0.3843, 0.3296, ..., -0.0673, 0.0357, 0.1356]
INFO:root:[0][1454/2187] Loss_D: 0.4291 Loss_G: 3.1903 R1: 0.0375 R2: 0.0497 w_avg: [ 0.4330, 0.3846, 0.3292, ..., -0.0672, 0.0355, 0.1355]
INFO:root:[0][1455/2187] Loss_D: 0.2513 Loss_G: 4.4112 R1: 0.0355 R2: 0.0335 w_avg: [ 0.4332, 0.3847, 0.3292, ..., -0.0675, 0.0355, 0.1354]
INFO:root:[0][1456/2187] Loss_D: 0.1885 Loss_G: 3.3617 R1: 0.0342 R2: 0.0304 w_avg: [ 0.4332, 0.3853, 0.3295, ..., -0.0675, 0.0354, 0.1353]
INFO:root:[0][1457/2187] Loss_D: 0.4794 Loss_G: 2.9711 R1: 0.0377 R2: 0.0319 w_avg: [ 0.4331, 0.3849, 0.3291, ..., -0.0673, 0.0356, 0.1354]
INFO:root:[0][1458/2187] Loss_D: 0.2765 Loss_G: 2.8980 R1: 0.0364 R2: 0.0283 w_avg: [ 0.4324, 0.3852, 0.3289, ..., -0.0673, 0.0354, 0.1351]
INFO:root:[0][1459/2187] Loss_D: 0.3331 Loss_G: 3.1790 R1: 0.0379 R2: 0.0290 w_avg: [ 0.4320, 0.3850, 0.3289, ..., -0.0676, 0.0356, 0.1348]
INFO:root:[0][1460/2187] Loss_D: 0.3746 Loss_G: 2.6216 R1: 0.0289 R2: 0.0250 w_avg: [ 0.4320, 0.3852, 0.3288, ..., -0.0675, 0.0358, 0.1348]
INFO:root:[0][1461/2187] Loss_D: 0.3592 Loss_G: 2.5537 R1: 0.0337 R2: 0.0301 w_avg: [ 0.4320, 0.3854, 0.3292, ..., -0.0676, 0.0359, 0.1351]
INFO:root:[0][1462/2187] Loss_D: 0.3895 Loss_G: 3.0551 R1: 0.0298 R2: 0.0286 w_avg: [ 0.4316, 0.3854, 0.3287, ..., -0.0677, 0.0357, 0.1351]
INFO:root:[0][1463/2187] Loss_D: 0.2901 Loss_G: 2.1153 R1: 0.0314 R2: 0.0322 w_avg: [ 0.4318, 0.3852, 0.3286, ..., -0.0678, 0.0357, 0.1350]
INFO:root:[0][1464/2187] Loss_D: 0.3209 Loss_G: 3.1885 R1: 0.0323 R2: 0.0278 w_avg: [ 0.4315, 0.3852, 0.3284, ..., -0.0679, 0.0358, 0.1346]
INFO:root:[0][1465/2187] Loss_D: 0.3645 Loss_G: 2.7410 R1: 0.0333 R2: 0.0346 w_avg: [ 0.4309, 0.3851, 0.3280, ..., -0.0678, 0.0355, 0.1349]
INFO:root:[0][1466/2187] Loss_D: 0.2390 Loss_G: 2.7213 R1: 0.0319 R2: 0.0329 w_avg: [ 0.4310, 0.3854, 0.3283, ..., -0.0680, 0.0354, 0.1348]
INFO:root:[0][1467/2187] Loss_D: 0.2630 Loss_G: 2.9227 R1: 0.0325 R2: 0.0311 w_avg: [ 0.4317, 0.3855, 0.3280, ..., -0.0681, 0.0353, 0.1349]
INFO:root:[0][1468/2187] Loss_D: 0.3145 Loss_G: 3.0678 R1: 0.0335 R2: 0.0307 w_avg: [ 0.4313, 0.3856, 0.3278, ..., -0.0680, 0.0352, 0.1355]
INFO:root:[0][1469/2187] Loss_D: 0.1591 Loss_G: 2.4730 R1: 0.0339 R2: 0.0269 w_avg: [ 0.4307, 0.3858, 0.3276, ..., -0.0681, 0.0352, 0.1356]
INFO:root:[0][1470/2187] Loss_D: 0.5344 Loss_G: 2.5678 R1: 0.0384 R2: 0.0347 w_avg: [ 0.4308, 0.3853, 0.3269, ..., -0.0681, 0.0350, 0.1351]
INFO:root:[0][1471/2187] Loss_D: 0.3504 Loss_G: 2.9360 R1: 0.0330 R2: 0.0199 w_avg: [ 0.4303, 0.3851, 0.3269, ..., -0.0683, 0.0353, 0.1351]
INFO:root:[0][1472/2187] Loss_D: 0.3010 Loss_G: 4.2003 R1: 0.0326 R2: 0.0314 w_avg: [ 0.4297, 0.3849, 0.3265, ..., -0.0684, 0.0353, 0.1347]
INFO:root:[0][1473/2187] Loss_D: 0.1035 Loss_G: 3.2351 R1: 0.0459 R2: 0.0173 w_avg: [ 0.4292, 0.3848, 0.3263, ..., -0.0685, 0.0356, 0.1346]
INFO:root:[0][1474/2187] Loss_D: 0.5853 Loss_G: 4.2345 R1: 0.0445 R2: 0.0326 w_avg: [ 0.4293, 0.3844, 0.3264, ..., -0.0684, 0.0359, 0.1347]
INFO:root:[0][1475/2187] Loss_D: 0.2118 Loss_G: 3.0190 R1: 0.0299 R2: 0.0217 w_avg: [ 0.4290, 0.3838, 0.3264, ..., -0.0683, 0.0360, 0.1346]
INFO:root:[0][1476/2187] Loss_D: 0.6664 Loss_G: 2.3734 R1: 0.0302 R2: 0.0279 w_avg: [ 0.4288, 0.3838, 0.3266, ..., -0.0680, 0.0359, 0.1350]
INFO:root:[0][1477/2187] Loss_D: 0.2713 Loss_G: 2.4374 R1: 0.0271 R2: 0.0203 w_avg: [ 0.4283, 0.3834, 0.3267, ..., -0.0679, 0.0364, 0.1347]
INFO:root:[0][1478/2187] Loss_D: 0.3181 Loss_G: 2.5086 R1: 0.0285 R2: 0.0265 w_avg: [ 0.4278, 0.3831, 0.3263, ..., -0.0681, 0.0365, 0.1344]
INFO:root:[0][1479/2187] Loss_D: 0.2006 Loss_G: 2.0179 R1: 0.0334 R2: 0.0259 w_avg: [ 0.4276, 0.3828, 0.3261, ..., -0.0682, 0.0366, 0.1345]
INFO:root:[0][1480/2187] Loss_D: 0.3653 Loss_G: 1.9966 R1: 0.0301 R2: 0.0295 w_avg: [ 0.4271, 0.3827, 0.3261, ..., -0.0683, 0.0365, 0.1342]
INFO:root:[0][1481/2187] Loss_D: 0.2366 Loss_G: 2.1366 R1: 0.0310 R2: 0.0244 w_avg: [ 0.4271, 0.3822, 0.3260, ..., -0.0684, 0.0364, 0.1339]
INFO:root:[0][1482/2187] Loss_D: 0.2733 Loss_G: 2.1683 R1: 0.0322 R2: 0.0326 w_avg: [ 0.4268, 0.3824, 0.3261, ..., -0.0687, 0.0363, 0.1336]
INFO:root:[0][1483/2187] Loss_D: 0.3286 Loss_G: 1.6336 R1: 0.0311 R2: 0.0291 w_avg: [ 0.4266, 0.3824, 0.3256, ..., -0.0688, 0.0360, 0.1335]
INFO:root:[0][1484/2187] Loss_D: 0.3308 Loss_G: 2.1106 R1: 0.0290 R2: 0.0262 w_avg: [ 0.4261, 0.3827, 0.3259, ..., -0.0690, 0.0358, 0.1331]
INFO:root:[0][1485/2187] Loss_D: 0.3324 Loss_G: 2.4796 R1: 0.0339 R2: 0.0324 w_avg: [ 0.4262, 0.3831, 0.3257, ..., -0.0687, 0.0357, 0.1330]
INFO:root:[0][1486/2187] Loss_D: 0.3519 Loss_G: 2.7472 R1: 0.0343 R2: 0.0314 w_avg: [ 0.4257, 0.3830, 0.3253, ..., -0.0687, 0.0357, 0.1330]
INFO:root:[0][1487/2187] Loss_D: 0.3702 Loss_G: 2.3133 R1: 0.0368 R2: 0.0393 w_avg: [ 0.4255, 0.3825, 0.3257, ..., -0.0687, 0.0355, 0.1331]
INFO:root:[0][1488/2187] Loss_D: 0.2451 Loss_G: 2.1939 R1: 0.0353 R2: 0.0315 w_avg: [ 0.4251, 0.3830, 0.3257, ..., -0.0690, 0.0353, 0.1329]
INFO:root:[0][1489/2187] Loss_D: 0.3612 Loss_G: 2.1536 R1: 0.0349 R2: 0.0266 w_avg: [ 0.4253, 0.3832, 0.3263, ..., -0.0690, 0.0354, 0.1327]
INFO:root:[0][1490/2187] Loss_D: 0.3286 Loss_G: 2.5363 R1: 0.0395 R2: 0.0348 w_avg: [ 0.4250, 0.3832, 0.3267, ..., -0.0688, 0.0353, 0.1325]
INFO:root:[0][1491/2187] Loss_D: 0.3277 Loss_G: 2.6200 R1: 0.0346 R2: 0.0406 w_avg: [ 0.4248, 0.3828, 0.3263, ..., -0.0687, 0.0350, 0.1325]
INFO:root:[0][1492/2187] Loss_D: 0.3316 Loss_G: 2.5825 R1: 0.0388 R2: 0.0384 w_avg: [ 0.4242, 0.3832, 0.3264, ..., -0.0690, 0.0348, 0.1320]
INFO:root:[0][1493/2187] Loss_D: 0.4665 Loss_G: 3.4374 R1: 0.0351 R2: 0.0330 w_avg: [ 0.4238, 0.3831, 0.3264, ..., -0.0693, 0.0347, 0.1319]
INFO:root:[0][1494/2187] Loss_D: 0.3387 Loss_G: 2.3376 R1: 0.0375 R2: 0.0311 w_avg: [ 0.4237, 0.3830, 0.3262, ..., -0.0694, 0.0348, 0.1318]
INFO:root:[0][1495/2187] Loss_D: 0.1853 Loss_G: 2.6215 R1: 0.0390 R2: 0.0299 w_avg: [ 0.4232, 0.3824, 0.3262, ..., -0.0694, 0.0346, 0.1315]
INFO:root:[0][1496/2187] Loss_D: 0.2499 Loss_G: 2.6675 R1: 0.0311 R2: 0.0327 w_avg: [ 0.4227, 0.3824, 0.3265, ..., -0.0693, 0.0346, 0.1317]
INFO:root:[0][1497/2187] Loss_D: 0.2574 Loss_G: 2.5170 R1: 0.0412 R2: 0.0291 w_avg: [ 0.4225, 0.3824, 0.3265, ..., -0.0692, 0.0345, 0.1316]
INFO:root:[0][1498/2187] Loss_D: 0.2779 Loss_G: 3.4261 R1: 0.0386 R2: 0.0342 w_avg: [ 0.4220, 0.3828, 0.3267, ..., -0.0690, 0.0344, 0.1319]
INFO:root:[0][1499/2187] Loss_D: 0.2883 Loss_G: 2.8897 R1: 0.0423 R2: 0.0310 w_avg: [ 0.4215, 0.3831, 0.3268, ..., -0.0691, 0.0346, 0.1318]
INFO:root:[0][1500/2187] Loss_D: 0.3148 Loss_G: 3.1151 R1: 0.0422 R2: 0.0319 w_avg: [ 0.4217, 0.3829, 0.3274, ..., -0.0693, 0.0346, 0.1317]
INFO:root:[0][1501/2187] Loss_D: 0.2775 Loss_G: 3.2811 R1: 0.0414 R2: 0.0310 w_avg: [ 0.4215, 0.3831, 0.3269, ..., -0.0691, 0.0346, 0.1319]
INFO:root:[0][1502/2187] Loss_D: 0.3273 Loss_G: 2.8489 R1: 0.0461 R2: 0.0384 w_avg: [ 0.4208, 0.3831, 0.3267, ..., -0.0693, 0.0345, 0.1318]
INFO:root:[0][1503/2187] Loss_D: 0.2660 Loss_G: 2.2098 R1: 0.0467 R2: 0.0433 w_avg: [ 0.4202, 0.3825, 0.3268, ..., -0.0693, 0.0346, 0.1315]
INFO:root:[0][1504/2187] Loss_D: 0.2653 Loss_G: 2.5711 R1: 0.0472 R2: 0.0338 w_avg: [ 0.4197, 0.3827, 0.3265, ..., -0.0695, 0.0348, 0.1316]
INFO:root:[0][1505/2187] Loss_D: 0.3317 Loss_G: 2.8208 R1: 0.0440 R2: 0.0346 w_avg: [ 0.4193, 0.3831, 0.3262, ..., -0.0695, 0.0348, 0.1318]
INFO:root:[0][1506/2187] Loss_D: 0.2643 Loss_G: 2.6121 R1: 0.0436 R2: 0.0320 w_avg: [ 0.4190, 0.3828, 0.3266, ..., -0.0695, 0.0346, 0.1316]
INFO:root:[0][1507/2187] Loss_D: 0.2107 Loss_G: 3.2658 R1: 0.0469 R2: 0.0308 w_avg: [ 0.4193, 0.3830, 0.3265, ..., -0.0697, 0.0346, 0.1314]
INFO:root:[0][1508/2187] Loss_D: 0.3027 Loss_G: 2.0708 R1: 0.0428 R2: 0.0328 w_avg: [ 0.4190, 0.3828, 0.3267, ..., -0.0699, 0.0350, 0.1316]
INFO:root:[0][1509/2187] Loss_D: 0.4490 Loss_G: 2.2044 R1: 0.0396 R2: 0.0403 w_avg: [ 0.4190, 0.3827, 0.3265, ..., -0.0701, 0.0354, 0.1312]
INFO:root:[0][1510/2187] Loss_D: 0.3237 Loss_G: 3.5719 R1: 0.0408 R2: 0.0236 w_avg: [ 0.4183, 0.3830, 0.3262, ..., -0.0696, 0.0351, 0.1314]
INFO:root:[0][1511/2187] Loss_D: 0.2747 Loss_G: 3.0126 R1: 0.0389 R2: 0.0270 w_avg: [ 0.4183, 0.3829, 0.3266, ..., -0.0699, 0.0351, 0.1315]
INFO:root:[0][1512/2187] Loss_D: 0.2735 Loss_G: 2.1900 R1: 0.0420 R2: 0.0246 w_avg: [ 0.4178, 0.3828, 0.3264, ..., -0.0699, 0.0350, 0.1315]
INFO:root:[0][1513/2187] Loss_D: 0.3489 Loss_G: 3.3535 R1: 0.0380 R2: 0.0275 w_avg: [ 0.4171, 0.3824, 0.3267, ..., -0.0701, 0.0351, 0.1311]
INFO:root:[0][1514/2187] Loss_D: 0.2222 Loss_G: 3.7749 R1: 0.0384 R2: 0.0252 w_avg: [ 0.4163, 0.3827, 0.3265, ..., -0.0702, 0.0349, 0.1311]
INFO:root:[0][1515/2187] Loss_D: 0.2898 Loss_G: 3.3413 R1: 0.0454 R2: 0.0327 w_avg: [ 0.4159, 0.3823, 0.3266, ..., -0.0702, 0.0348, 0.1310]
INFO:root:[0][1516/2187] Loss_D: 0.4297 Loss_G: 2.9748 R1: 0.0394 R2: 0.0244 w_avg: [ 0.4161, 0.3825, 0.3269, ..., -0.0701, 0.0349, 0.1310]
INFO:root:[0][1517/2187] Loss_D: 0.2137 Loss_G: 3.0427 R1: 0.0434 R2: 0.0279 w_avg: [ 0.4158, 0.3823, 0.3268, ..., -0.0702, 0.0350, 0.1311]
INFO:root:[0][1518/2187] Loss_D: 0.2283 Loss_G: 2.5893 R1: 0.0411 R2: 0.0305 w_avg: [ 0.4153, 0.3821, 0.3263, ..., -0.0704, 0.0351, 0.1309]
INFO:root:[0][1519/2187] Loss_D: 0.2552 Loss_G: 2.8949 R1: 0.0413 R2: 0.0372 w_avg: [ 0.4147, 0.3819, 0.3257, ..., -0.0704, 0.0350, 0.1316]
INFO:root:[0][1520/2187] Loss_D: 0.2823 Loss_G: 3.5467 R1: 0.0435 R2: 0.0343 w_avg: [ 0.4142, 0.3819, 0.3255, ..., -0.0703, 0.0352, 0.1318]
INFO:root:[0][1521/2187] Loss_D: 0.2668 Loss_G: 3.3923 R1: 0.0399 R2: 0.0118 w_avg: [ 0.4137, 0.3817, 0.3249, ..., -0.0704, 0.0352, 0.1319]
INFO:root:[0][1522/2187] Loss_D: 0.2086 Loss_G: 3.4505 R1: 0.0441 R2: 0.0150 w_avg: [ 0.4139, 0.3829, 0.3253, ..., -0.0706, 0.0352, 0.1322]
INFO:root:[0][1523/2187] Loss_D: 0.1830 Loss_G: 3.4245 R1: 0.0423 R2: 0.0474 w_avg: [ 0.4140, 0.3832, 0.3252, ..., -0.0707, 0.0354, 0.1328]
INFO:root:[0][1524/2187] Loss_D: 0.1398 Loss_G: 4.3215 R1: 0.0443 R2: 0.0289 w_avg: [ 0.4135, 0.3831, 0.3248, ..., -0.0708, 0.0355, 0.1330]
INFO:root:[0][1525/2187] Loss_D: 0.2220 Loss_G: 4.5970 R1: 0.0444 R2: 0.0377 w_avg: [ 0.4127, 0.3835, 0.3253, ..., -0.0708, 0.0356, 0.1327]
INFO:root:[0][1526/2187] Loss_D: 0.1968 Loss_G: 3.5934 R1: 0.0296 R2: 0.0357 w_avg: [ 0.4130, 0.3835, 0.3251, ..., -0.0710, 0.0354, 0.1325]
INFO:root:[0][1527/2187] Loss_D: 0.3511 Loss_G: 2.5396 R1: 0.0329 R2: 0.0356 w_avg: [ 0.4130, 0.3838, 0.3255, ..., -0.0711, 0.0357, 0.1321]
INFO:root:[0][1528/2187] Loss_D: 0.5187 Loss_G: 2.6305 R1: 0.0270 R2: 0.0288 w_avg: [ 0.4131, 0.3838, 0.3256, ..., -0.0713, 0.0360, 0.1322]
INFO:root:[0][1529/2187] Loss_D: 0.3819 Loss_G: 1.8885 R1: 0.0329 R2: 0.0362 w_avg: [ 0.4137, 0.3839, 0.3251, ..., -0.0714, 0.0359, 0.1320]
INFO:root:[0][1530/2187] Loss_D: 0.5306 Loss_G: 2.3192 R1: 0.0384 R2: 0.0403 w_avg: [ 0.4134, 0.3834, 0.3248, ..., -0.0717, 0.0360, 0.1316]
INFO:root:[0][1531/2187] Loss_D: 0.3815 Loss_G: 2.2374 R1: 0.0319 R2: 0.0298 w_avg: [ 0.4133, 0.3839, 0.3255, ..., -0.0716, 0.0360, 0.1314]
INFO:root:[0][1532/2187] Loss_D: 0.2710 Loss_G: 1.8985 R1: 0.0342 R2: 0.0359 w_avg: [ 0.4134, 0.3837, 0.3253, ..., -0.0717, 0.0362, 0.1314]
INFO:root:[0][1533/2187] Loss_D: 0.2957 Loss_G: 2.7801 R1: 0.0362 R2: 0.0350 w_avg: [ 0.4132, 0.3838, 0.3252, ..., -0.0719, 0.0360, 0.1310]
INFO:root:[0][1534/2187] Loss_D: 0.5233 Loss_G: 2.5308 R1: 0.0362 R2: 0.0340 w_avg: [ 0.4128, 0.3841, 0.3249, ..., -0.0717, 0.0360, 0.1310]
INFO:root:[0][1535/2187] Loss_D: 0.4233 Loss_G: 2.9669 R1: 0.0370 R2: 0.0297 w_avg: [ 0.4127, 0.3840, 0.3253, ..., -0.0719, 0.0366, 0.1306]
INFO:root:[0][1536/2187] Loss_D: 0.4265 Loss_G: 2.2927 R1: 0.0329 R2: 0.0258 w_avg: [ 0.4129, 0.3840, 0.3252, ..., -0.0721, 0.0368, 0.1305]
INFO:root:[0][1537/2187] Loss_D: 0.2979 Loss_G: 2.7488 R1: 0.0292 R2: 0.0262 w_avg: [ 0.4125, 0.3843, 0.3252, ..., -0.0724, 0.0370, 0.1308]
INFO:root:[0][1538/2187] Loss_D: 0.4303 Loss_G: 2.4337 R1: 0.0353 R2: 0.0274 w_avg: [ 0.4126, 0.3846, 0.3251, ..., -0.0725, 0.0368, 0.1307]
INFO:root:[0][1539/2187] Loss_D: 0.3595 Loss_G: 2.5953 R1: 0.0358 R2: 0.0325 w_avg: [ 0.4123, 0.3845, 0.3247, ..., -0.0725, 0.0367, 0.1303]
INFO:root:[0][1540/2187] Loss_D: 0.2072 Loss_G: 2.1027 R1: 0.0354 R2: 0.0325 w_avg: [ 0.4119, 0.3849, 0.3241, ..., -0.0726, 0.0367, 0.1302]
INFO:root:[0][1541/2187] Loss_D: 0.4867 Loss_G: 2.8823 R1: 0.0305 R2: 0.0352 w_avg: [ 0.4119, 0.3850, 0.3238, ..., -0.0727, 0.0365, 0.1305]
INFO:root:[0][1542/2187] Loss_D: 0.3169 Loss_G: 2.0147 R1: 0.0342 R2: 0.0273 w_avg: [ 0.4116, 0.3849, 0.3241, ..., -0.0729, 0.0364, 0.1304]
INFO:root:[0][1543/2187] Loss_D: 0.1592 Loss_G: 2.0584 R1: 0.0313 R2: 0.0284 w_avg: [ 0.4111, 0.3845, 0.3239, ..., -0.0731, 0.0365, 0.1304]
INFO:root:[0][1544/2187] Loss_D: 0.2418 Loss_G: 2.2370 R1: 0.0359 R2: 0.0249 w_avg: [ 0.4108, 0.3847, 0.3241, ..., -0.0731, 0.0364, 0.1307]
INFO:root:[0][1545/2187] Loss_D: 0.2285 Loss_G: 2.8523 R1: 0.0369 R2: 0.0265 w_avg: [ 0.4108, 0.3848, 0.3239, ..., -0.0731, 0.0365, 0.1306]
INFO:root:[0][1546/2187] Loss_D: 0.3383 Loss_G: 2.8872 R1: 0.0353 R2: 0.0349 w_avg: [ 0.4106, 0.3844, 0.3241, ..., -0.0733, 0.0366, 0.1306]
INFO:root:[0][1547/2187] Loss_D: 0.2179 Loss_G: 2.5761 R1: 0.0373 R2: 0.0307 w_avg: [ 0.4103, 0.3842, 0.3239, ..., -0.0734, 0.0366, 0.1308]
INFO:root:[0][1548/2187] Loss_D: 0.2371 Loss_G: 2.8842 R1: 0.0384 R2: 0.0240 w_avg: [ 0.4103, 0.3845, 0.3238, ..., -0.0732, 0.0368, 0.1307]
INFO:root:[0][1549/2187] Loss_D: 0.1909 Loss_G: 2.6155 R1: 0.0385 R2: 0.0309 w_avg: [ 0.4101, 0.3845, 0.3242, ..., -0.0732, 0.0369, 0.1305]
INFO:root:[0][1550/2187] Loss_D: 0.3676 Loss_G: 3.6511 R1: 0.0412 R2: 0.0371 w_avg: [ 0.4100, 0.3843, 0.3241, ..., -0.0734, 0.0371, 0.1306]
INFO:root:[0][1551/2187] Loss_D: 0.2617 Loss_G: 3.1567 R1: 0.0400 R2: 0.0281 w_avg: [ 0.4099, 0.3850, 0.3241, ..., -0.0735, 0.0369, 0.1303]
INFO:root:[0][1552/2187] Loss_D: 0.4709 Loss_G: 3.5899 R1: 0.0555 R2: 0.0322 w_avg: [ 0.4096, 0.3848, 0.3239, ..., -0.0735, 0.0369, 0.1299]
INFO:root:[0][1553/2187] Loss_D: 0.2717 Loss_G: 3.0477 R1: 0.0421 R2: 0.0350 w_avg: [ 0.4094, 0.3852, 0.3239, ..., -0.0736, 0.0365, 0.1300]
INFO:root:[0][1554/2187] Loss_D: 0.2245 Loss_G: 2.8409 R1: 0.0362 R2: 0.0413 w_avg: [ 0.4092, 0.3851, 0.3239, ..., -0.0733, 0.0370, 0.1296]
INFO:root:[0][1555/2187] Loss_D: 0.2102 Loss_G: 3.3330 R1: 0.0377 R2: 0.0287 w_avg: [ 0.4091, 0.3851, 0.3242, ..., -0.0734, 0.0367, 0.1295]
INFO:root:[0][1556/2187] Loss_D: 0.3229 Loss_G: 2.3478 R1: 0.0359 R2: 0.0298 w_avg: [ 0.4083, 0.3852, 0.3238, ..., -0.0736, 0.0367, 0.1295]
INFO:root:[0][1557/2187] Loss_D: 0.2557 Loss_G: 1.8967 R1: 0.0331 R2: 0.0279 w_avg: [ 0.4081, 0.3858, 0.3236, ..., -0.0737, 0.0367, 0.1301]
INFO:root:[0][1558/2187] Loss_D: 0.2809 Loss_G: 1.9051 R1: 0.0389 R2: 0.0298 w_avg: [ 0.4076, 0.3855, 0.3236, ..., -0.0740, 0.0365, 0.1300]
INFO:root:[0][1559/2187] Loss_D: 1.0176 Loss_G: 4.1573 R1: 0.0337 R2: 0.0261 w_avg: [ 0.4072, 0.3859, 0.3235, ..., -0.0740, 0.0365, 0.1299]
INFO:root:[0][1560/2187] Loss_D: 0.4398 Loss_G: 3.2009 R1: 0.0383 R2: 0.0457 w_avg: [ 0.4071, 0.3860, 0.3230, ..., -0.0738, 0.0365, 0.1300]
INFO:root:[0][1561/2187] Loss_D: 0.2989 Loss_G: 3.0236 R1: 0.0438 R2: 0.0415 w_avg: [ 0.4072, 0.3863, 0.3225, ..., -0.0739, 0.0365, 0.1302]
INFO:root:[0][1562/2187] Loss_D: 0.2119 Loss_G: 2.7194 R1: 0.0441 R2: 0.0390 w_avg: [ 0.4072, 0.3869, 0.3221, ..., -0.0737, 0.0363, 0.1304]
INFO:root:[0][1563/2187] Loss_D: 0.3317 Loss_G: 2.6577 R1: 0.0394 R2: 0.0387 w_avg: [ 0.4074, 0.3872, 0.3221, ..., -0.0738, 0.0362, 0.1301]
INFO:root:[0][1564/2187] Loss_D: 0.1796 Loss_G: 3.3518 R1: 0.0394 R2: 0.0295 w_avg: [ 0.4075, 0.3871, 0.3222, ..., -0.0735, 0.0360, 0.1299]
INFO:root:[0][1565/2187] Loss_D: 0.3225 Loss_G: 2.3184 R1: 0.0381 R2: 0.0374 w_avg: [ 0.4075, 0.3880, 0.3223, ..., -0.0735, 0.0358, 0.1299]
INFO:root:[0][1566/2187] Loss_D: 0.6155 Loss_G: 2.5890 R1: 0.0342 R2: 0.0355 w_avg: [ 0.4079, 0.3882, 0.3225, ..., -0.0737, 0.0359, 0.1297]
INFO:root:[0][1567/2187] Loss_D: 0.3750 Loss_G: 2.7276 R1: 0.0399 R2: 0.0268 w_avg: [ 0.4083, 0.3878, 0.3222, ..., -0.0739, 0.0362, 0.1298]
INFO:root:[0][1568/2187] Loss_D: 0.3687 Loss_G: 3.3442 R1: 0.0344 R2: 0.0231 w_avg: [ 0.4083, 0.3877, 0.3220, ..., -0.0737, 0.0362, 0.1295]
INFO:root:[0][1569/2187] Loss_D: 0.2614 Loss_G: 2.8334 R1: 0.0357 R2: 0.0336 w_avg: [ 0.4085, 0.3882, 0.3225, ..., -0.0740, 0.0363, 0.1291]
INFO:root:[0][1570/2187] Loss_D: 0.4121 Loss_G: 2.5932 R1: 0.0387 R2: 0.0346 w_avg: [ 0.4085, 0.3881, 0.3222, ..., -0.0740, 0.0360, 0.1287]
INFO:root:[0][1571/2187] Loss_D: 0.4744 Loss_G: 2.7074 R1: 0.0365 R2: 0.0371 w_avg: [ 0.4080, 0.3883, 0.3217, ..., -0.0741, 0.0359, 0.1286]
INFO:root:[0][1572/2187] Loss_D: 0.2896 Loss_G: 2.8701 R1: 0.0375 R2: 0.0248 w_avg: [ 0.4075, 0.3881, 0.3212, ..., -0.0737, 0.0358, 0.1281]
INFO:root:[0][1573/2187] Loss_D: 0.1962 Loss_G: 2.0062 R1: 0.0332 R2: 0.0308 w_avg: [ 0.4075, 0.3881, 0.3215, ..., -0.0736, 0.0357, 0.1281]
INFO:root:[0][1574/2187] Loss_D: 0.2473 Loss_G: 2.3588 R1: 0.0302 R2: 0.0371 w_avg: [ 0.4070, 0.3885, 0.3214, ..., -0.0737, 0.0352, 0.1280]
INFO:root:[0][1575/2187] Loss_D: 0.3213 Loss_G: 2.4808 R1: 0.0357 R2: 0.0314 w_avg: [ 0.4067, 0.3885, 0.3211, ..., -0.0738, 0.0348, 0.1279]
INFO:root:[0][1576/2187] Loss_D: 0.5474 Loss_G: 2.4153 R1: 0.0375 R2: 0.0358 w_avg: [ 0.4064, 0.3884, 0.3212, ..., -0.0738, 0.0348, 0.1276]
INFO:root:[0][1577/2187] Loss_D: 0.1571 Loss_G: 2.1534 R1: 0.0405 R2: 0.0170 w_avg: [ 0.4060, 0.3886, 0.3213, ..., -0.0740, 0.0350, 0.1276]
INFO:root:[0][1578/2187] Loss_D: 0.2583 Loss_G: 2.4018 R1: 0.0403 R2: 0.0294 w_avg: [ 0.4057, 0.3885, 0.3217, ..., -0.0742, 0.0346, 0.1276]
INFO:root:[0][1579/2187] Loss_D: 0.2654 Loss_G: 2.6735 R1: 0.0391 R2: 0.0336 w_avg: [ 0.4053, 0.3886, 0.3213, ..., -0.0740, 0.0344, 0.1275]
INFO:root:[0][1580/2187] Loss_D: 0.2902 Loss_G: 2.7850 R1: 0.0456 R2: 0.0367 w_avg: [ 0.4055, 0.3887, 0.3214, ..., -0.0741, 0.0344, 0.1275]
INFO:root:[0][1581/2187] Loss_D: 0.3374 Loss_G: 2.4163 R1: 0.0444 R2: 0.0401 w_avg: [ 0.4058, 0.3883, 0.3218, ..., -0.0741, 0.0351, 0.1276]
INFO:root:[0][1582/2187] Loss_D: 0.3147 Loss_G: 2.4486 R1: 0.0456 R2: 0.0384 w_avg: [ 0.4058, 0.3881, 0.3214, ..., -0.0743, 0.0356, 0.1275]
INFO:root:[0][1583/2187] Loss_D: 0.3027 Loss_G: 2.4081 R1: 0.0394 R2: 0.0339 w_avg: [ 0.4056, 0.3882, 0.3212, ..., -0.0743, 0.0358, 0.1276]
INFO:root:[0][1584/2187] Loss_D: 0.6905 Loss_G: 3.5228 R1: 0.0416 R2: 0.0446 w_avg: [ 0.4059, 0.3883, 0.3218, ..., -0.0743, 0.0359, 0.1274]
INFO:root:[0][1585/2187] Loss_D: 0.3701 Loss_G: 2.5652 R1: 0.0410 R2: 0.0321 w_avg: [ 0.4062, 0.3882, 0.3216, ..., -0.0744, 0.0357, 0.1272]
INFO:root:[0][1586/2187] Loss_D: 0.3086 Loss_G: 3.0326 R1: 0.0487 R2: 0.0396 w_avg: [ 0.4055, 0.3880, 0.3211, ..., -0.0746, 0.0359, 0.1273]
INFO:root:[0][1587/2187] Loss_D: 0.2674 Loss_G: 2.3475 R1: 0.0428 R2: 0.0306 w_avg: [ 0.4052, 0.3874, 0.3207, ..., -0.0746, 0.0360, 0.1273]
INFO:root:[0][1588/2187] Loss_D: 0.1742 Loss_G: 2.2515 R1: 0.0421 R2: 0.0367 w_avg: [ 0.4049, 0.3876, 0.3204, ..., -0.0746, 0.0359, 0.1273]
INFO:root:[0][1589/2187] Loss_D: 0.3588 Loss_G: 2.5751 R1: 0.0349 R2: 0.0384 w_avg: [ 0.4050, 0.3878, 0.3204, ..., -0.0747, 0.0359, 0.1273]
INFO:root:[0][1590/2187] Loss_D: 0.4435 Loss_G: 2.9406 R1: 0.0353 R2: 0.0315 w_avg: [ 0.4049, 0.3875, 0.3206, ..., -0.0747, 0.0360, 0.1273]
INFO:root:[0][1591/2187] Loss_D: 0.2805 Loss_G: 2.4219 R1: 0.0388 R2: 0.0352 w_avg: [ 0.4057, 0.3875, 0.3205, ..., -0.0749, 0.0361, 0.1273]
INFO:root:[0][1592/2187] Loss_D: 0.2591 Loss_G: 2.1081 R1: 0.0361 R2: 0.0397 w_avg: [ 0.4060, 0.3876, 0.3205, ..., -0.0748, 0.0364, 0.1271]
INFO:root:[0][1593/2187] Loss_D: 0.2721 Loss_G: 2.0490 R1: 0.0361 R2: 0.0352 w_avg: [ 0.4059, 0.3872, 0.3202, ..., -0.0750, 0.0366, 0.1270]
INFO:root:[0][1594/2187] Loss_D: 0.3658 Loss_G: 2.4292 R1: 0.0397 R2: 0.0341 w_avg: [ 0.4056, 0.3878, 0.3201, ..., -0.0748, 0.0364, 0.1268]
INFO:root:[0][1595/2187] Loss_D: 0.2106 Loss_G: 2.6325 R1: 0.0384 R2: 0.0344 w_avg: [ 0.4054, 0.3877, 0.3198, ..., -0.0748, 0.0368, 0.1267]
INFO:root:[0][1596/2187] Loss_D: 0.3094 Loss_G: 2.5687 R1: 0.0399 R2: 0.0408 w_avg: [ 0.4050, 0.3880, 0.3197, ..., -0.0745, 0.0368, 0.1266]
INFO:root:[0][1597/2187] Loss_D: 0.1998 Loss_G: 2.6841 R1: 0.0419 R2: 0.0221 w_avg: [ 0.4048, 0.3880, 0.3198, ..., -0.0743, 0.0368, 0.1266]
INFO:root:[0][1598/2187] Loss_D: 0.3315 Loss_G: 2.2723 R1: 0.0412 R2: 0.0321 w_avg: [ 0.4052, 0.3879, 0.3199, ..., -0.0743, 0.0369, 0.1263]
INFO:root:[0][1599/2187] Loss_D: 0.3673 Loss_G: 1.7745 R1: 0.0326 R2: 0.0356 w_avg: [ 0.4048, 0.3876, 0.3200, ..., -0.0741, 0.0369, 0.1265]
INFO:root:[0][1600/2187] Loss_D: 0.3355 Loss_G: 2.0694 R1: 0.0332 R2: 0.0355 w_avg: [ 0.4048, 0.3873, 0.3200, ..., -0.0743, 0.0371, 0.1261]
INFO:root:[0][1601/2187] Loss_D: 0.3217 Loss_G: 2.1978 R1: 0.0340 R2: 0.0284 w_avg: [ 0.4042, 0.3875, 0.3201, ..., -0.0745, 0.0367, 0.1259]
INFO:root:[0][1602/2187] Loss_D: 0.3732 Loss_G: 2.0488 R1: 0.0359 R2: 0.0308 w_avg: [ 0.4039, 0.3877, 0.3208, ..., -0.0743, 0.0366, 0.1256]
INFO:root:[0][1603/2187] Loss_D: 0.3927 Loss_G: 2.2247 R1: 0.0303 R2: 0.0249 w_avg: [ 0.4039, 0.3876, 0.3206, ..., -0.0745, 0.0366, 0.1254]
INFO:root:[0][1604/2187] Loss_D: 0.2764 Loss_G: 2.2809 R1: 0.0451 R2: 0.0365 w_avg: [ 0.4034, 0.3873, 0.3206, ..., -0.0748, 0.0365, 0.1260]
INFO:root:[0][1605/2187] Loss_D: 0.2065 Loss_G: 2.5501 R1: 0.0386 R2: 0.0227 w_avg: [ 0.4029, 0.3870, 0.3207, ..., -0.0749, 0.0366, 0.1261]
INFO:root:[0][1606/2187] Loss_D: 0.2710 Loss_G: 2.4253 R1: 0.0419 R2: 0.0283 w_avg: [ 0.4025, 0.3869, 0.3204, ..., -0.0750, 0.0368, 0.1260]
INFO:root:[0][1607/2187] Loss_D: 0.2678 Loss_G: 2.3054 R1: 0.0372 R2: 0.0361 w_avg: [ 0.4026, 0.3868, 0.3199, ..., -0.0752, 0.0365, 0.1259]
INFO:root:[0][1608/2187] Loss_D: 0.3686 Loss_G: 2.6682 R1: 0.0396 R2: 0.0362 w_avg: [ 0.4023, 0.3870, 0.3201, ..., -0.0749, 0.0363, 0.1260]
INFO:root:[0][1609/2187] Loss_D: 0.3289 Loss_G: 2.7767 R1: 0.0345 R2: 0.0304 w_avg: [ 0.4024, 0.3870, 0.3202, ..., -0.0751, 0.0363, 0.1259]
INFO:root:[0][1610/2187] Loss_D: 0.3359 Loss_G: 2.6040 R1: 0.0337 R2: 0.0296 w_avg: [ 0.4023, 0.3870, 0.3199, ..., -0.0749, 0.0359, 0.1259]
INFO:root:[0][1611/2187] Loss_D: 0.3026 Loss_G: 3.3846 R1: 0.0425 R2: 0.0327 w_avg: [ 0.4025, 0.3872, 0.3200, ..., -0.0747, 0.0358, 0.1261]
INFO:root:[0][1612/2187] Loss_D: 0.4647 Loss_G: 3.1787 R1: 0.0364 R2: 0.0315 w_avg: [ 0.4022, 0.3867, 0.3196, ..., -0.0750, 0.0358, 0.1258]
INFO:root:[0][1613/2187] Loss_D: 0.2522 Loss_G: 2.3411 R1: 0.0419 R2: 0.0333 w_avg: [ 0.4026, 0.3863, 0.3199, ..., -0.0751, 0.0359, 0.1255]
INFO:root:[0][1614/2187] Loss_D: 0.3118 Loss_G: 2.9744 R1: 0.0396 R2: 0.0286 w_avg: [ 0.4021, 0.3864, 0.3199, ..., -0.0751, 0.0355, 0.1255]
INFO:root:[0][1615/2187] Loss_D: 0.3161 Loss_G: 3.2327 R1: 0.0373 R2: 0.0330 w_avg: [ 0.4017, 0.3856, 0.3195, ..., -0.0753, 0.0359, 0.1255]
INFO:root:[0][1616/2187] Loss_D: 0.3857 Loss_G: 2.3956 R1: 0.0376 R2: 0.0319 w_avg: [ 0.4013, 0.3853, 0.3198, ..., -0.0754, 0.0358, 0.1254]
INFO:root:[0][1617/2187] Loss_D: 0.3793 Loss_G: 2.5997 R1: 0.0382 R2: 0.0334 w_avg: [ 0.4007, 0.3851, 0.3196, ..., -0.0756, 0.0359, 0.1252]
INFO:root:[0][1618/2187] Loss_D: 0.2817 Loss_G: 2.2115 R1: 0.0411 R2: 0.0365 w_avg: [ 0.4001, 0.3846, 0.3193, ..., -0.0756, 0.0360, 0.1249]
INFO:root:[0][1619/2187] Loss_D: 0.2879 Loss_G: 2.0424 R1: 0.0382 R2: 0.0329 w_avg: [ 0.3995, 0.3849, 0.3189, ..., -0.0752, 0.0359, 0.1248]
INFO:root:[0][1620/2187] Loss_D: 0.3598 Loss_G: 2.6226 R1: 0.0396 R2: 0.0370 w_avg: [ 0.3996, 0.3848, 0.3184, ..., -0.0752, 0.0363, 0.1251]
INFO:root:[0][1621/2187] Loss_D: 0.3265 Loss_G: 2.8325 R1: 0.0387 R2: 0.0347 w_avg: [ 0.3994, 0.3845, 0.3186, ..., -0.0752, 0.0365, 0.1249]
INFO:root:[0][1622/2187] Loss_D: 0.3612 Loss_G: 2.3099 R1: 0.0407 R2: 0.0311 w_avg: [ 0.3989, 0.3845, 0.3183, ..., -0.0753, 0.0365, 0.1247]
INFO:root:[0][1623/2187] Loss_D: 0.3066 Loss_G: 2.8542 R1: 0.0320 R2: 0.0279 w_avg: [ 0.3984, 0.3843, 0.3181, ..., -0.0756, 0.0362, 0.1245]
INFO:root:[0][1624/2187] Loss_D: 0.2941 Loss_G: 2.3336 R1: 0.0324 R2: 0.0313 w_avg: [ 0.3985, 0.3841, 0.3179, ..., -0.0759, 0.0363, 0.1249]
INFO:root:[0][1625/2187] Loss_D: 0.4771 Loss_G: 3.2018 R1: 0.0313 R2: 0.0326 w_avg: [ 0.3979, 0.3843, 0.3177, ..., -0.0760, 0.0361, 0.1249]
INFO:root:[0][1626/2187] Loss_D: 0.2705 Loss_G: 3.1274 R1: 0.0380 R2: 0.0217 w_avg: [ 0.3972, 0.3838, 0.3174, ..., -0.0761, 0.0362, 0.1248]
INFO:root:[0][1627/2187] Loss_D: 0.4018 Loss_G: 2.9461 R1: 0.0376 R2: 0.0364 w_avg: [ 0.3973, 0.3835, 0.3172, ..., -0.0759, 0.0359, 0.1246]
INFO:root:[0][1628/2187] Loss_D: 0.3673 Loss_G: 2.2219 R1: 0.0417 R2: 0.0366 w_avg: [ 0.3969, 0.3830, 0.3173, ..., -0.0761, 0.0365, 0.1244]
INFO:root:[0][1629/2187] Loss_D: 0.3405 Loss_G: 2.2588 R1: 0.0377 R2: 0.0349 w_avg: [ 0.3962, 0.3827, 0.3169, ..., -0.0759, 0.0365, 0.1244]
INFO:root:[0][1630/2187] Loss_D: 0.3371 Loss_G: 2.7131 R1: 0.0393 R2: 0.0339 w_avg: [ 0.3962, 0.3827, 0.3166, ..., -0.0758, 0.0365, 0.1246]
INFO:root:[0][1631/2187] Loss_D: 0.2741 Loss_G: 2.5414 R1: 0.0332 R2: 0.0307 w_avg: [ 0.3958, 0.3828, 0.3162, ..., -0.0759, 0.0364, 0.1245]
INFO:root:[0][1632/2187] Loss_D: 0.3355 Loss_G: 2.7329 R1: 0.0397 R2: 0.0303 w_avg: [ 0.3957, 0.3826, 0.3163, ..., -0.0759, 0.0362, 0.1242]
INFO:root:[0][1633/2187] Loss_D: 0.2624 Loss_G: 2.4721 R1: 0.0439 R2: 0.0291 w_avg: [ 0.3954, 0.3828, 0.3160, ..., -0.0759, 0.0364, 0.1242]
INFO:root:[0][1634/2187] Loss_D: 0.1927 Loss_G: 2.5383 R1: 0.0442 R2: 0.0261 w_avg: [ 0.3952, 0.3824, 0.3157, ..., -0.0760, 0.0362, 0.1243]
INFO:root:[0][1635/2187] Loss_D: 0.3944 Loss_G: 2.6969 R1: 0.0407 R2: 0.0396 w_avg: [ 0.3949, 0.3825, 0.3158, ..., -0.0761, 0.0361, 0.1246]
INFO:root:[0][1636/2187] Loss_D: 0.4633 Loss_G: 2.8596 R1: 0.0393 R2: 0.0282 w_avg: [ 0.3950, 0.3821, 0.3157, ..., -0.0762, 0.0363, 0.1247]
INFO:root:[0][1637/2187] Loss_D: 0.1769 Loss_G: 2.5272 R1: 0.0377 R2: 0.0293 w_avg: [ 0.3950, 0.3827, 0.3160, ..., -0.0761, 0.0364, 0.1243]
INFO:root:[0][1638/2187] Loss_D: 0.3568 Loss_G: 2.7237 R1: 0.0331 R2: 0.0281 w_avg: [ 0.3951, 0.3831, 0.3157, ..., -0.0763, 0.0366, 0.1243]
INFO:root:[0][1639/2187] Loss_D: 0.2324 Loss_G: 2.2919 R1: 0.0382 R2: 0.0249 w_avg: [ 0.3948, 0.3825, 0.3156, ..., -0.0765, 0.0367, 0.1239]
INFO:root:[0][1640/2187] Loss_D: 0.2727 Loss_G: 2.8078 R1: 0.0370 R2: 0.0354 w_avg: [ 0.3952, 0.3823, 0.3156, ..., -0.0766, 0.0369, 0.1238]
INFO:root:[0][1641/2187] Loss_D: 0.2768 Loss_G: 2.4207 R1: 0.0363 R2: 0.0370 w_avg: [ 0.3956, 0.3820, 0.3153, ..., -0.0767, 0.0372, 0.1240]
INFO:root:[0][1642/2187] Loss_D: 0.3109 Loss_G: 2.2007 R1: 0.0359 R2: 0.0345 w_avg: [ 0.3953, 0.3819, 0.3160, ..., -0.0768, 0.0372, 0.1240]
INFO:root:[0][1643/2187] Loss_D: 0.2510 Loss_G: 2.6061 R1: 0.0395 R2: 0.0421 w_avg: [ 0.3952, 0.3822, 0.3163, ..., -0.0768, 0.0374, 0.1237]
INFO:root:[0][1644/2187] Loss_D: 0.3202 Loss_G: 2.5497 R1: 0.0331 R2: 0.0248 w_avg: [ 0.3949, 0.3815, 0.3163, ..., -0.0767, 0.0380, 0.1238]
INFO:root:[0][1645/2187] Loss_D: 0.3606 Loss_G: 2.6565 R1: 0.0356 R2: 0.0332 w_avg: [ 0.3947, 0.3819, 0.3168, ..., -0.0768, 0.0379, 0.1237]
INFO:root:[0][1646/2187] Loss_D: 0.2781 Loss_G: 2.0814 R1: 0.0386 R2: 0.0381 w_avg: [ 0.3942, 0.3814, 0.3165, ..., -0.0767, 0.0378, 0.1237]
INFO:root:[0][1647/2187] Loss_D: 0.4356 Loss_G: 2.6091 R1: 0.0383 R2: 0.0395 w_avg: [ 0.3937, 0.3813, 0.3164, ..., -0.0766, 0.0375, 0.1235]
INFO:root:[0][1648/2187] Loss_D: 0.4662 Loss_G: 2.5937 R1: 0.0336 R2: 0.0344 w_avg: [ 0.3929, 0.3809, 0.3162, ..., -0.0768, 0.0375, 0.1233]
INFO:root:[0][1649/2187] Loss_D: 0.4022 Loss_G: 3.1155 R1: 0.0308 R2: 0.0174 w_avg: [ 0.3929, 0.3805, 0.3157, ..., -0.0769, 0.0377, 0.1229]
INFO:root:[0][1650/2187] Loss_D: 0.2609 Loss_G: 2.9372 R1: 0.0350 R2: 0.0243 w_avg: [ 0.3929, 0.3803, 0.3157, ..., -0.0769, 0.0374, 0.1231]
INFO:root:[0][1651/2187] Loss_D: 0.3087 Loss_G: 2.6608 R1: 0.0337 R2: 0.0250 w_avg: [ 0.3929, 0.3807, 0.3160, ..., -0.0768, 0.0373, 0.1229]
INFO:root:[0][1652/2187] Loss_D: 0.2679 Loss_G: 2.2390 R1: 0.0386 R2: 0.0392 w_avg: [ 0.3925, 0.3803, 0.3160, ..., -0.0770, 0.0370, 0.1227]
INFO:root:[0][1653/2187] Loss_D: 0.4507 Loss_G: 3.2221 R1: 0.0391 R2: 0.0399 w_avg: [ 0.3920, 0.3802, 0.3153, ..., -0.0768, 0.0367, 0.1230]
INFO:root:[0][1654/2187] Loss_D: 0.9963 Loss_G: 2.4990 R1: 0.0300 R2: 0.0299 w_avg: [ 0.3917, 0.3802, 0.3148, ..., -0.0767, 0.0365, 0.1228]
INFO:root:[0][1655/2187] Loss_D: 0.4810 Loss_G: 1.8637 R1: 0.0254 R2: 0.0153 w_avg: [ 0.3911, 0.3802, 0.3148, ..., -0.0766, 0.0362, 0.1228]
INFO:root:[0][1656/2187] Loss_D: 0.3499 Loss_G: 2.2407 R1: 0.0236 R2: 0.0160 w_avg: [ 0.3911, 0.3802, 0.3155, ..., -0.0767, 0.0362, 0.1227]
INFO:root:[0][1657/2187] Loss_D: 0.2930 Loss_G: 2.2595 R1: 0.0263 R2: 0.0217 w_avg: [ 0.3907, 0.3802, 0.3154, ..., -0.0767, 0.0360, 0.1227]
INFO:root:[0][1658/2187] Loss_D: 0.3571 Loss_G: 2.5309 R1: 0.0268 R2: 0.0202 w_avg: [ 0.3903, 0.3798, 0.3154, ..., -0.0767, 0.0362, 0.1228]
INFO:root:[0][1659/2187] Loss_D: 0.2941 Loss_G: 3.0260 R1: 0.0282 R2: 0.0258 w_avg: [ 0.3903, 0.3795, 0.3151, ..., -0.0769, 0.0359, 0.1228]
INFO:root:[0][1660/2187] Loss_D: 0.2318 Loss_G: 2.5207 R1: 0.0267 R2: 0.0256 w_avg: [ 0.3898, 0.3796, 0.3149, ..., -0.0771, 0.0359, 0.1226]
INFO:root:[0][1661/2187] Loss_D: 0.3820 Loss_G: 2.0151 R1: 0.0298 R2: 0.0265 w_avg: [ 0.3896, 0.3793, 0.3147, ..., -0.0771, 0.0357, 0.1223]
INFO:root:[0][1662/2187] Loss_D: 0.3115 Loss_G: 3.2021 R1: 0.0308 R2: 0.0172 w_avg: [ 0.3895, 0.3793, 0.3145, ..., -0.0772, 0.0358, 0.1220]
INFO:root:[0][1663/2187] Loss_D: 0.3606 Loss_G: 2.6211 R1: 0.0294 R2: 0.0248 w_avg: [ 0.3906, 0.3796, 0.3147, ..., -0.0769, 0.0360, 0.1219]
INFO:root:[0][1664/2187] Loss_D: 0.3278 Loss_G: 1.8691 R1: 0.0284 R2: 0.0250 w_avg: [ 0.3901, 0.3799, 0.3146, ..., -0.0770, 0.0358, 0.1216]
INFO:root:[0][1665/2187] Loss_D: 0.2708 Loss_G: 2.3111 R1: 0.0273 R2: 0.0261 w_avg: [ 0.3898, 0.3803, 0.3147, ..., -0.0770, 0.0359, 0.1213]
INFO:root:[0][1666/2187] Loss_D: 0.3981 Loss_G: 2.3848 R1: 0.0305 R2: 0.0280 w_avg: [ 0.3899, 0.3802, 0.3145, ..., -0.0771, 0.0360, 0.1209]
INFO:root:[0][1667/2187] Loss_D: 0.3133 Loss_G: 2.5554 R1: 0.0309 R2: 0.0244 w_avg: [ 0.3894, 0.3801, 0.3144, ..., -0.0772, 0.0358, 0.1209]
INFO:root:[0][1668/2187] Loss_D: 0.3003 Loss_G: 2.2063 R1: 0.0291 R2: 0.0246 w_avg: [ 0.3890, 0.3794, 0.3139, ..., -0.0774, 0.0360, 0.1207]
INFO:root:[0][1669/2187] Loss_D: 0.1770 Loss_G: 2.3214 R1: 0.0355 R2: 0.0188 w_avg: [ 0.3894, 0.3798, 0.3142, ..., -0.0776, 0.0360, 0.1205]
INFO:root:[0][1670/2187] Loss_D: 0.3526 Loss_G: 2.3724 R1: 0.0346 R2: 0.0259 w_avg: [ 0.3894, 0.3802, 0.3144, ..., -0.0775, 0.0358, 0.1207]
INFO:root:[0][1671/2187] Loss_D: 0.2910 Loss_G: 2.1646 R1: 0.0328 R2: 0.0265 w_avg: [ 0.3895, 0.3797, 0.3142, ..., -0.0774, 0.0364, 0.1208]
INFO:root:[0][1672/2187] Loss_D: 0.2946 Loss_G: 2.4932 R1: 0.0379 R2: 0.0314 w_avg: [ 0.3894, 0.3794, 0.3140, ..., -0.0776, 0.0368, 0.1207]
INFO:root:[0][1673/2187] Loss_D: 0.2618 Loss_G: 2.6207 R1: 0.0436 R2: 0.0342 w_avg: [ 0.3898, 0.3793, 0.3138, ..., -0.0776, 0.0369, 0.1209]
INFO:root:[0][1674/2187] Loss_D: 0.3367 Loss_G: 3.0528 R1: 0.0373 R2: 0.0286 w_avg: [ 0.3892, 0.3790, 0.3139, ..., -0.0776, 0.0373, 0.1208]
INFO:root:[0][1675/2187] Loss_D: 0.1964 Loss_G: 3.0529 R1: 0.0413 R2: 0.0260 w_avg: [ 0.3889, 0.3789, 0.3137, ..., -0.0778, 0.0374, 0.1205]
INFO:root:[0][1676/2187] Loss_D: 0.3214 Loss_G: 2.4405 R1: 0.0405 R2: 0.0282 w_avg: [ 0.3885, 0.3782, 0.3131, ..., -0.0779, 0.0373, 0.1203]
INFO:root:[0][1677/2187] Loss_D: 0.2085 Loss_G: 3.0135 R1: 0.0426 R2: 0.0225 w_avg: [ 0.3880, 0.3775, 0.3131, ..., -0.0780, 0.0371, 0.1201]
INFO:root:[0][1678/2187] Loss_D: 0.2468 Loss_G: 2.7553 R1: 0.0429 R2: 0.0384 w_avg: [ 0.3875, 0.3771, 0.3128, ..., -0.0780, 0.0374, 0.1198]
INFO:root:[0][1679/2187] Loss_D: 0.2454 Loss_G: 2.6035 R1: 0.0397 R2: 0.0317 w_avg: [ 0.3873, 0.3770, 0.3133, ..., -0.0781, 0.0371, 0.1196]
INFO:root:[0][1680/2187] Loss_D: 0.3215 Loss_G: 2.6348 R1: 0.0375 R2: 0.0362 w_avg: [ 0.3871, 0.3772, 0.3131, ..., -0.0782, 0.0377, 0.1200]
INFO:root:[0][1681/2187] Loss_D: 0.4761 Loss_G: 2.3200 R1: 0.0437 R2: 0.0389 w_avg: [ 0.3867, 0.3774, 0.3125, ..., -0.0784, 0.0373, 0.1200]
INFO:root:[0][1682/2187] Loss_D: 0.4245 Loss_G: 2.6971 R1: 0.0459 R2: 0.0442 w_avg: [ 0.3865, 0.3773, 0.3124, ..., -0.0784, 0.0375, 0.1202]
INFO:root:[0][1683/2187] Loss_D: 0.3935 Loss_G: 3.0945 R1: 0.0395 R2: 0.0408 w_avg: [ 0.3867, 0.3772, 0.3123, ..., -0.0786, 0.0374, 0.1199]
INFO:root:[0][1684/2187] Loss_D: 0.2541 Loss_G: 2.5757 R1: 0.0383 R2: 0.0402 w_avg: [ 0.3863, 0.3772, 0.3125, ..., -0.0786, 0.0376, 0.1201]
INFO:root:[0][1685/2187] Loss_D: 0.3480 Loss_G: 2.3518 R1: 0.0393 R2: 0.0384 w_avg: [ 0.3858, 0.3775, 0.3126, ..., -0.0784, 0.0372, 0.1197]
INFO:root:[0][1686/2187] Loss_D: 0.4369 Loss_G: 2.3589 R1: 0.0426 R2: 0.0428 w_avg: [ 0.3857, 0.3777, 0.3121, ..., -0.0786, 0.0377, 0.1201]
INFO:root:[0][1687/2187] Loss_D: 0.2801 Loss_G: 2.5321 R1: 0.0410 R2: 0.0320 w_avg: [ 0.3854, 0.3778, 0.3121, ..., -0.0785, 0.0376, 0.1205]
INFO:root:[0][1688/2187] Loss_D: 0.2874 Loss_G: 3.0191 R1: 0.0366 R2: 0.0363 w_avg: [ 0.3851, 0.3777, 0.3119, ..., -0.0787, 0.0377, 0.1202]
INFO:root:[0][1689/2187] Loss_D: 0.3159 Loss_G: 2.0533 R1: 0.0399 R2: 0.0305 w_avg: [ 0.3849, 0.3779, 0.3121, ..., -0.0789, 0.0375, 0.1201]
INFO:root:[0][1690/2187] Loss_D: 0.2297 Loss_G: 2.3511 R1: 0.0356 R2: 0.0316 w_avg: [ 0.3846, 0.3779, 0.3119, ..., -0.0787, 0.0373, 0.1202]
INFO:root:[0][1691/2187] Loss_D: 0.2043 Loss_G: 2.1297 R1: 0.0381 R2: 0.0326 w_avg: [ 0.3842, 0.3773, 0.3118, ..., -0.0787, 0.0371, 0.1199]
INFO:root:[0][1692/2187] Loss_D: 0.3489 Loss_G: 2.8758 R1: 0.0381 R2: 0.0387 w_avg: [ 0.3840, 0.3772, 0.3118, ..., -0.0787, 0.0369, 0.1195]
INFO:root:[0][1693/2187] Loss_D: 0.2457 Loss_G: 3.4381 R1: 0.0408 R2: 0.0354 w_avg: [ 0.3844, 0.3773, 0.3118, ..., -0.0787, 0.0370, 0.1196]
INFO:root:[0][1694/2187] Loss_D: 0.1740 Loss_G: 3.4148 R1: 0.0367 R2: 0.0600 w_avg: [ 0.3845, 0.3769, 0.3120, ..., -0.0786, 0.0369, 0.1192]
INFO:root:[0][1695/2187] Loss_D: 0.2734 Loss_G: 3.4364 R1: 0.0420 R2: 0.0382 w_avg: [ 0.3842, 0.3771, 0.3116, ..., -0.0783, 0.0367, 0.1196]
INFO:root:[0][1696/2187] Loss_D: 0.1783 Loss_G: 4.1479 R1: 0.0415 R2: 0.0236 w_avg: [ 0.3838, 0.3764, 0.3109, ..., -0.0783, 0.0366, 0.1199]
INFO:root:[0][1697/2187] Loss_D: 0.2024 Loss_G: 3.0048 R1: 0.0407 R2: 0.0354 w_avg: [ 0.3837, 0.3761, 0.3106, ..., -0.0785, 0.0369, 0.1199]
INFO:root:[0][1698/2187] Loss_D: 0.2243 Loss_G: 2.6337 R1: 0.0320 R2: 0.0479 w_avg: [ 0.3832, 0.3757, 0.3103, ..., -0.0784, 0.0371, 0.1197]
INFO:root:[0][1699/2187] Loss_D: 0.3040 Loss_G: 2.9817 R1: 0.0321 R2: 0.0340 w_avg: [ 0.3830, 0.3752, 0.3104, ..., -0.0783, 0.0373, 0.1196]
INFO:root:[0][1700/2187] Loss_D: 0.3006 Loss_G: 3.2238 R1: 0.0358 R2: 0.0452 w_avg: [ 0.3832, 0.3752, 0.3105, ..., -0.0781, 0.0374, 0.1196]
INFO:root:[0][1701/2187] Loss_D: 0.3679 Loss_G: 3.9260 R1: 0.0354 R2: 0.0355 w_avg: [ 0.3826, 0.3751, 0.3099, ..., -0.0779, 0.0372, 0.1197]
INFO:root:[0][1702/2187] Loss_D: 0.2499 Loss_G: 2.6891 R1: 0.0354 R2: 0.0383 w_avg: [ 0.3821, 0.3746, 0.3096, ..., -0.0779, 0.0376, 0.1198]
INFO:root:[0][1703/2187] Loss_D: 0.2510 Loss_G: 2.9866 R1: 0.0319 R2: 0.0347 w_avg: [ 0.3824, 0.3747, 0.3099, ..., -0.0781, 0.0374, 0.1196]
INFO:root:[0][1704/2187] Loss_D: 0.2356 Loss_G: 3.4559 R1: 0.0384 R2: 0.0384 w_avg: [ 0.3828, 0.3744, 0.3103, ..., -0.0782, 0.0372, 0.1197]
INFO:root:[0][1705/2187] Loss_D: 0.1720 Loss_G: 3.3357 R1: 0.0381 R2: 0.0426 w_avg: [ 0.3829, 0.3740, 0.3105, ..., -0.0783, 0.0371, 0.1196]
INFO:root:[0][1706/2187] Loss_D: 0.2655 Loss_G: 4.3491 R1: 0.0381 R2: 0.0367 w_avg: [ 0.3827, 0.3734, 0.3101, ..., -0.0785, 0.0372, 0.1194]
INFO:root:[0][1707/2187] Loss_D: 0.1962 Loss_G: 2.5026 R1: 0.0355 R2: 0.0302 w_avg: [ 0.3829, 0.3733, 0.3109, ..., -0.0785, 0.0370, 0.1194]
INFO:root:[0][1708/2187] Loss_D: 0.6525 Loss_G: 3.0739 R1: 0.0368 R2: 0.0397 w_avg: [ 0.3825, 0.3728, 0.3107, ..., -0.0786, 0.0371, 0.1194]
INFO:root:[0][1709/2187] Loss_D: 0.3558 Loss_G: 2.5591 R1: 0.0417 R2: 0.0439 w_avg: [ 0.3819, 0.3719, 0.3107, ..., -0.0786, 0.0373, 0.1193]
INFO:root:[0][1710/2187] Loss_D: 0.4240 Loss_G: 2.1529 R1: 0.0424 R2: 0.0428 w_avg: [ 0.3816, 0.3719, 0.3107, ..., -0.0786, 0.0371, 0.1190]
INFO:root:[0][1711/2187] Loss_D: 0.4505 Loss_G: 2.8891 R1: 0.0353 R2: 0.0295 w_avg: [ 0.3821, 0.3714, 0.3109, ..., -0.0788, 0.0370, 0.1191]
INFO:root:[0][1712/2187] Loss_D: 0.1741 Loss_G: 2.5542 R1: 0.0370 R2: 0.0292 w_avg: [ 0.3822, 0.3716, 0.3108, ..., -0.0790, 0.0368, 0.1193]
INFO:root:[0][1713/2187] Loss_D: 0.3443 Loss_G: 2.1353 R1: 0.0390 R2: 0.0309 w_avg: [ 0.3816, 0.3717, 0.3105, ..., -0.0791, 0.0365, 0.1193]
INFO:root:[0][1714/2187] Loss_D: 0.2702 Loss_G: 2.0351 R1: 0.0443 R2: 0.0325 w_avg: [ 0.3815, 0.3715, 0.3102, ..., -0.0794, 0.0364, 0.1193]
INFO:root:[0][1715/2187] Loss_D: 0.2758 Loss_G: 2.3441 R1: 0.0403 R2: 0.0357 w_avg: [ 0.3813, 0.3714, 0.3103, ..., -0.0793, 0.0366, 0.1195]
INFO:root:[0][1716/2187] Loss_D: 0.3344 Loss_G: 2.2551 R1: 0.0420 R2: 0.0297 w_avg: [ 0.3815, 0.3710, 0.3105, ..., -0.0794, 0.0366, 0.1190]
INFO:root:[0][1717/2187] Loss_D: 0.3307 Loss_G: 2.4400 R1: 0.0437 R2: 0.0383 w_avg: [ 0.3813, 0.3714, 0.3102, ..., -0.0795, 0.0366, 0.1186]
INFO:root:[0][1718/2187] Loss_D: 0.3738 Loss_G: 2.0944 R1: 0.0379 R2: 0.0329 w_avg: [ 0.3809, 0.3716, 0.3098, ..., -0.0797, 0.0364, 0.1188]
INFO:root:[0][1719/2187] Loss_D: 0.2245 Loss_G: 1.9001 R1: 0.0400 R2: 0.0272 w_avg: [ 0.3811, 0.3714, 0.3094, ..., -0.0797, 0.0364, 0.1188]
INFO:root:[0][1720/2187] Loss_D: 0.2236 Loss_G: 2.3204 R1: 0.0377 R2: 0.0256 w_avg: [ 0.3806, 0.3708, 0.3093, ..., -0.0795, 0.0362, 0.1186]
INFO:root:[0][1721/2187] Loss_D: 0.3401 Loss_G: 1.9370 R1: 0.0372 R2: 0.0273 w_avg: [ 0.3807, 0.3704, 0.3093, ..., -0.0797, 0.0363, 0.1184]
INFO:root:[0][1722/2187] Loss_D: 0.1999 Loss_G: 2.0101 R1: 0.0409 R2: 0.0277 w_avg: [ 0.3803, 0.3704, 0.3089, ..., -0.0796, 0.0359, 0.1182]
INFO:root:[0][1723/2187] Loss_D: 0.2332 Loss_G: 2.5736 R1: 0.0402 R2: 0.0345 w_avg: [ 0.3802, 0.3703, 0.3087, ..., -0.0796, 0.0358, 0.1179]
INFO:root:[0][1724/2187] Loss_D: 0.2870 Loss_G: 2.2919 R1: 0.0403 R2: 0.0315 w_avg: [ 0.3800, 0.3700, 0.3091, ..., -0.0795, 0.0358, 0.1178]
INFO:root:[0][1725/2187] Loss_D: 0.3066 Loss_G: 2.9394 R1: 0.0419 R2: 0.0369 w_avg: [ 0.3798, 0.3697, 0.3083, ..., -0.0795, 0.0358, 0.1177]
INFO:root:[0][1726/2187] Loss_D: 0.2427 Loss_G: 2.8123 R1: 0.0437 R2: 0.0282 w_avg: [ 0.3792, 0.3699, 0.3078, ..., -0.0798, 0.0354, 0.1177]
INFO:root:[0][1727/2187] Loss_D: 0.2135 Loss_G: 2.7320 R1: 0.0453 R2: 0.0309 w_avg: [ 0.3792, 0.3699, 0.3080, ..., -0.0799, 0.0353, 0.1178]
INFO:root:[0][1728/2187] Loss_D: 0.3766 Loss_G: 3.0295 R1: 0.0451 R2: 0.0389 w_avg: [ 0.3789, 0.3694, 0.3078, ..., -0.0799, 0.0351, 0.1176]
INFO:root:[0][1729/2187] Loss_D: 0.5785 Loss_G: 3.6137 R1: 0.0424 R2: 0.0389 w_avg: [ 0.3787, 0.3695, 0.3080, ..., -0.0797, 0.0352, 0.1180]
INFO:root:[0][1730/2187] Loss_D: 0.2464 Loss_G: 3.4743 R1: 0.0439 R2: 0.0301 w_avg: [ 0.3785, 0.3697, 0.3078, ..., -0.0798, 0.0350, 0.1180]
INFO:root:[0][1731/2187] Loss_D: 0.5312 Loss_G: 2.8563 R1: 0.0366 R2: 0.0343 w_avg: [ 0.3790, 0.3702, 0.3077, ..., -0.0797, 0.0351, 0.1179]
INFO:root:[0][1732/2187] Loss_D: 0.3495 Loss_G: 2.9570 R1: 0.0381 R2: 0.0318 w_avg: [ 0.3788, 0.3700, 0.3076, ..., -0.0797, 0.0349, 0.1177]
INFO:root:[0][1733/2187] Loss_D: 0.2635 Loss_G: 3.1965 R1: 0.0384 R2: 0.0330 w_avg: [ 0.3786, 0.3699, 0.3073, ..., -0.0798, 0.0350, 0.1181]
INFO:root:[0][1734/2187] Loss_D: 0.5958 Loss_G: 3.9225 R1: 0.0381 R2: 0.0356 w_avg: [ 0.3785, 0.3695, 0.3072, ..., -0.0799, 0.0354, 0.1178]
INFO:root:[0][1735/2187] Loss_D: 0.0856 Loss_G: 3.6297 R1: 0.0399 R2: 0.0106 w_avg: [ 0.3784, 0.3697, 0.3072, ..., -0.0800, 0.0354, 0.1178]
INFO:root:[0][1736/2187] Loss_D: 0.1531 Loss_G: 3.4902 R1: 0.0405 R2: 0.0143 w_avg: [ 0.3778, 0.3695, 0.3067, ..., -0.0798, 0.0352, 0.1177]
INFO:root:[0][1737/2187] Loss_D: 0.2353 Loss_G: 2.4455 R1: 0.0365 R2: 0.0402 w_avg: [ 0.3779, 0.3700, 0.3071, ..., -0.0800, 0.0354, 0.1175]
INFO:root:[0][1738/2187] Loss_D: 0.4009 Loss_G: 2.6924 R1: 0.0354 R2: 0.0417 w_avg: [ 0.3781, 0.3702, 0.3067, ..., -0.0801, 0.0355, 0.1176]
INFO:root:[0][1739/2187] Loss_D: 0.3513 Loss_G: 2.9837 R1: 0.0384 R2: 0.0357 w_avg: [ 0.3777, 0.3702, 0.3061, ..., -0.0801, 0.0356, 0.1177]
INFO:root:[0][1740/2187] Loss_D: 0.3043 Loss_G: 2.6232 R1: 0.0361 R2: 0.0357 w_avg: [ 0.3776, 0.3701, 0.3058, ..., -0.0801, 0.0354, 0.1177]
INFO:root:[0][1741/2187] Loss_D: 0.2761 Loss_G: 2.4439 R1: 0.0310 R2: 0.0300 w_avg: [ 0.3771, 0.3700, 0.3058, ..., -0.0800, 0.0358, 0.1179]
INFO:root:[0][1742/2187] Loss_D: 0.4446 Loss_G: 2.7416 R1: 0.0397 R2: 0.0342 w_avg: [ 0.3770, 0.3694, 0.3057, ..., -0.0800, 0.0358, 0.1176]
INFO:root:[0][1743/2187] Loss_D: 0.2752 Loss_G: 2.5885 R1: 0.0334 R2: 0.0282 w_avg: [ 0.3769, 0.3691, 0.3060, ..., -0.0803, 0.0355, 0.1173]
INFO:root:[0][1744/2187] Loss_D: 0.1848 Loss_G: 2.2852 R1: 0.0330 R2: 0.0225 w_avg: [ 0.3763, 0.3689, 0.3062, ..., -0.0803, 0.0359, 0.1170]
INFO:root:[0][1745/2187] Loss_D: 0.4485 Loss_G: 2.4026 R1: 0.0383 R2: 0.0277 w_avg: [ 0.3761, 0.3692, 0.3057, ..., -0.0806, 0.0360, 0.1171]
INFO:root:[0][1746/2187] Loss_D: 0.3625 Loss_G: 2.4635 R1: 0.0366 R2: 0.0281 w_avg: [ 0.3756, 0.3690, 0.3053, ..., -0.0807, 0.0357, 0.1169]
INFO:root:[0][1747/2187] Loss_D: 0.3653 Loss_G: 2.8103 R1: 0.0402 R2: 0.0301 w_avg: [ 0.3754, 0.3688, 0.3048, ..., -0.0808, 0.0361, 0.1167]
INFO:root:[0][1748/2187] Loss_D: 0.3654 Loss_G: 2.6712 R1: 0.0389 R2: 0.0291 w_avg: [ 0.3755, 0.3692, 0.3044, ..., -0.0810, 0.0360, 0.1172]
INFO:root:[0][1749/2187] Loss_D: 0.1884 Loss_G: 2.0587 R1: 0.0416 R2: 0.0241 w_avg: [ 0.3750, 0.3688, 0.3042, ..., -0.0812, 0.0360, 0.1169]
INFO:root:[0][1750/2187] Loss_D: 0.4594 Loss_G: 2.3086 R1: 0.0378 R2: 0.0371 w_avg: [ 0.3745, 0.3688, 0.3038, ..., -0.0813, 0.0358, 0.1169]
INFO:root:[0][1751/2187] Loss_D: 0.3757 Loss_G: 1.7917 R1: 0.0367 R2: 0.0318 w_avg: [ 0.3746, 0.3683, 0.3036, ..., -0.0812, 0.0359, 0.1168]
INFO:root:[0][1752/2187] Loss_D: 0.2543 Loss_G: 2.0357 R1: 0.0398 R2: 0.0287 w_avg: [ 0.3739, 0.3683, 0.3031, ..., -0.0813, 0.0357, 0.1170]
INFO:root:[0][1753/2187] Loss_D: 0.3416 Loss_G: 2.6349 R1: 0.0286 R2: 0.0266 w_avg: [ 0.3738, 0.3685, 0.3031, ..., -0.0814, 0.0361, 0.1166]
INFO:root:[0][1754/2187] Loss_D: 0.2320 Loss_G: 2.4325 R1: 0.0403 R2: 0.0300 w_avg: [ 0.3729, 0.3682, 0.3023, ..., -0.0813, 0.0363, 0.1167]
INFO:root:[0][1755/2187] Loss_D: 0.3186 Loss_G: 2.6188 R1: 0.0376 R2: 0.0306 w_avg: [ 0.3730, 0.3681, 0.3024, ..., -0.0813, 0.0362, 0.1163]
INFO:root:[0][1756/2187] Loss_D: 0.3268 Loss_G: 2.7535 R1: 0.0376 R2: 0.0301 w_avg: [ 0.3723, 0.3681, 0.3023, ..., -0.0813, 0.0363, 0.1161]
INFO:root:[0][1757/2187] Loss_D: 0.1253 Loss_G: 2.8985 R1: 0.0382 R2: 0.0267 w_avg: [ 0.3729, 0.3680, 0.3023, ..., -0.0814, 0.0362, 0.1162]
INFO:root:[0][1758/2187] Loss_D: 0.2426 Loss_G: 2.0779 R1: 0.0406 R2: 0.0352 w_avg: [ 0.3729, 0.3685, 0.3026, ..., -0.0816, 0.0361, 0.1160]
INFO:root:[0][1759/2187] Loss_D: 0.4437 Loss_G: 2.7385 R1: 0.0372 R2: 0.0359 w_avg: [ 0.3733, 0.3688, 0.3024, ..., -0.0818, 0.0364, 0.1158]
INFO:root:[0][1760/2187] Loss_D: 0.2739 Loss_G: 2.1739 R1: 0.0354 R2: 0.0241 w_avg: [ 0.3726, 0.3694, 0.3023, ..., -0.0817, 0.0361, 0.1160]
INFO:root:[0][1761/2187] Loss_D: 0.2307 Loss_G: 1.8891 R1: 0.0379 R2: 0.0303 w_avg: [ 0.3724, 0.3691, 0.3018, ..., -0.0817, 0.0362, 0.1158]
INFO:root:[0][1762/2187] Loss_D: 0.2733 Loss_G: 2.1235 R1: 0.0380 R2: 0.0338 w_avg: [ 0.3721, 0.3692, 0.3015, ..., -0.0817, 0.0360, 0.1157]
INFO:root:[0][1763/2187] Loss_D: 0.2149 Loss_G: 2.6085 R1: 0.0403 R2: 0.0318 w_avg: [ 0.3718, 0.3688, 0.3012, ..., -0.0817, 0.0360, 0.1158]
INFO:root:[0][1764/2187] Loss_D: 0.2880 Loss_G: 2.4504 R1: 0.0368 R2: 0.0333 w_avg: [ 0.3714, 0.3688, 0.3008, ..., -0.0817, 0.0361, 0.1158]
INFO:root:[0][1765/2187] Loss_D: 0.2163 Loss_G: 2.2967 R1: 0.0428 R2: 0.0337 w_avg: [ 0.3712, 0.3685, 0.3007, ..., -0.0817, 0.0362, 0.1158]
INFO:root:[0][1766/2187] Loss_D: 0.4837 Loss_G: 2.5551 R1: 0.0409 R2: 0.0377 w_avg: [ 0.3704, 0.3686, 0.3008, ..., -0.0817, 0.0359, 0.1157]
INFO:root:[0][1767/2187] Loss_D: 0.3029 Loss_G: 2.5877 R1: 0.0394 R2: 0.0249 w_avg: [ 0.3707, 0.3687, 0.3006, ..., -0.0819, 0.0359, 0.1155]
INFO:root:[0][1768/2187] Loss_D: 0.3856 Loss_G: 2.1236 R1: 0.0435 R2: 0.0333 w_avg: [ 0.3704, 0.3689, 0.3000, ..., -0.0821, 0.0358, 0.1154]
INFO:root:[0][1769/2187] Loss_D: 0.4502 Loss_G: 2.6655 R1: 0.0376 R2: 0.0275 w_avg: [ 0.3706, 0.3688, 0.3001, ..., -0.0823, 0.0357, 0.1155]
INFO:root:[0][1770/2187] Loss_D: 0.3439 Loss_G: 2.7748 R1: 0.0417 R2: 0.0284 w_avg: [ 0.3705, 0.3686, 0.3000, ..., -0.0824, 0.0359, 0.1152]
INFO:root:[0][1771/2187] Loss_D: 0.2737 Loss_G: 2.8534 R1: 0.0399 R2: 0.0337 w_avg: [ 0.3700, 0.3683, 0.2996, ..., -0.0826, 0.0364, 0.1151]
INFO:root:[0][1772/2187] Loss_D: 0.2844 Loss_G: 2.2386 R1: 0.0406 R2: 0.0285 w_avg: [ 0.3699, 0.3684, 0.2990, ..., -0.0826, 0.0362, 0.1155]
INFO:root:[0][1773/2187] Loss_D: 0.2348 Loss_G: 3.2025 R1: 0.0419 R2: 0.0286 w_avg: [ 0.3697, 0.3680, 0.2995, ..., -0.0826, 0.0359, 0.1152]
INFO:root:[0][1774/2187] Loss_D: 0.2239 Loss_G: 3.1513 R1: 0.0418 R2: 0.0295 w_avg: [ 0.3697, 0.3682, 0.2990, ..., -0.0825, 0.0356, 0.1154]
INFO:root:[0][1775/2187] Loss_D: 0.2989 Loss_G: 2.7288 R1: 0.0424 R2: 0.0317 w_avg: [ 0.3693, 0.3682, 0.2987, ..., -0.0824, 0.0359, 0.1152]
INFO:root:[0][1776/2187] Loss_D: 0.4126 Loss_G: 3.5705 R1: 0.0366 R2: 0.0303 w_avg: [ 0.3690, 0.3683, 0.2985, ..., -0.0827, 0.0360, 0.1152]
INFO:root:[0][1777/2187] Loss_D: 0.2321 Loss_G: 3.4771 R1: 0.0455 R2: 0.0328 w_avg: [ 0.3684, 0.3681, 0.2983, ..., -0.0827, 0.0360, 0.1152]
INFO:root:[0][1778/2187] Loss_D: 0.4385 Loss_G: 3.5415 R1: 0.0355 R2: 0.0341 w_avg: [ 0.3678, 0.3682, 0.2984, ..., -0.0828, 0.0359, 0.1150]
INFO:root:[0][1779/2187] Loss_D: 0.4727 Loss_G: 3.0314 R1: 0.0402 R2: 0.0400 w_avg: [ 0.3681, 0.3683, 0.2987, ..., -0.0827, 0.0358, 0.1148]
INFO:root:[0][1780/2187] Loss_D: 0.2185 Loss_G: 2.7623 R1: 0.0315 R2: 0.0219 w_avg: [ 0.3686, 0.3679, 0.2990, ..., -0.0829, 0.0363, 0.1143]
INFO:root:[0][1781/2187] Loss_D: 0.3281 Loss_G: 3.3550 R1: 0.0375 R2: 0.0239 w_avg: [ 0.3687, 0.3679, 0.2994, ..., -0.0829, 0.0362, 0.1140]
INFO:root:[0][1782/2187] Loss_D: 0.2813 Loss_G: 2.6750 R1: 0.0397 R2: 0.0369 w_avg: [ 0.3680, 0.3680, 0.2994, ..., -0.0827, 0.0362, 0.1140]
INFO:root:[0][1783/2187] Loss_D: 0.3147 Loss_G: 3.1671 R1: 0.0408 R2: 0.0302 w_avg: [ 0.3675, 0.3679, 0.2995, ..., -0.0828, 0.0360, 0.1141]
INFO:root:[0][1784/2187] Loss_D: 0.2493 Loss_G: 3.2930 R1: 0.0433 R2: 0.0343 w_avg: [ 0.3675, 0.3678, 0.2997, ..., -0.0829, 0.0360, 0.1141]
INFO:root:[0][1785/2187] Loss_D: 0.3121 Loss_G: 2.1834 R1: 0.0452 R2: 0.0392 w_avg: [ 0.3673, 0.3677, 0.2992, ..., -0.0827, 0.0360, 0.1139]
INFO:root:[0][1786/2187] Loss_D: 0.5779 Loss_G: 3.1317 R1: 0.0361 R2: 0.0430 w_avg: [ 0.3674, 0.3674, 0.2991, ..., -0.0830, 0.0362, 0.1140]
INFO:root:[0][1787/2187] Loss_D: 0.1977 Loss_G: 2.7375 R1: 0.0460 R2: 0.0296 w_avg: [ 0.3674, 0.3669, 0.2994, ..., -0.0831, 0.0365, 0.1135]
INFO:root:[0][1788/2187] Loss_D: 0.2219 Loss_G: 2.4165 R1: 0.0421 R2: 0.0369 w_avg: [ 0.3672, 0.3667, 0.2996, ..., -0.0831, 0.0363, 0.1138]
INFO:root:[0][1789/2187] Loss_D: 0.2707 Loss_G: 2.6318 R1: 0.0415 R2: 0.0295 w_avg: [ 0.3673, 0.3665, 0.2999, ..., -0.0832, 0.0366, 0.1139]
INFO:root:[0][1790/2187] Loss_D: 0.3106 Loss_G: 2.4623 R1: 0.0453 R2: 0.0300 w_avg: [ 0.3673, 0.3668, 0.2999, ..., -0.0832, 0.0364, 0.1137]
INFO:root:[0][1791/2187] Loss_D: 0.2652 Loss_G: 2.8757 R1: 0.0422 R2: 0.0346 w_avg: [ 0.3670, 0.3675, 0.3000, ..., -0.0833, 0.0362, 0.1137]
INFO:root:[0][1792/2187] Loss_D: 0.2466 Loss_G: 2.8687 R1: 0.0439 R2: 0.0366 w_avg: [ 0.3665, 0.3670, 0.3004, ..., -0.0833, 0.0362, 0.1136]
INFO:root:[0][1793/2187] Loss_D: 0.2446 Loss_G: 3.2855 R1: 0.0499 R2: 0.0503 w_avg: [ 0.3663, 0.3676, 0.3003, ..., -0.0835, 0.0362, 0.1134]
INFO:root:[0][1794/2187] Loss_D: 0.1477 Loss_G: 2.9623 R1: 0.0427 R2: 0.0335 w_avg: [ 0.3660, 0.3669, 0.3006, ..., -0.0834, 0.0362, 0.1130]
INFO:root:[0][1795/2187] Loss_D: 0.3050 Loss_G: 1.8118 R1: 0.0423 R2: 0.0383 w_avg: [ 0.3661, 0.3669, 0.3009, ..., -0.0832, 0.0359, 0.1127]
INFO:root:[0][1796/2187] Loss_D: 0.4670 Loss_G: 2.5308 R1: 0.0389 R2: 0.0353 w_avg: [ 0.3661, 0.3668, 0.3003, ..., -0.0833, 0.0361, 0.1124]
INFO:root:[0][1797/2187] Loss_D: 0.2051 Loss_G: 2.2316 R1: 0.0406 R2: 0.0263 w_avg: [ 0.3658, 0.3669, 0.3001, ..., -0.0834, 0.0363, 0.1121]
INFO:root:[0][1798/2187] Loss_D: 0.1751 Loss_G: 3.1467 R1: 0.0431 R2: 0.0310 w_avg: [ 0.3653, 0.3672, 0.2999, ..., -0.0835, 0.0361, 0.1119]
INFO:root:[0][1799/2187] Loss_D: 0.2507 Loss_G: 2.4861 R1: 0.0424 R2: 0.0329 w_avg: [ 0.3662, 0.3673, 0.3003, ..., -0.0836, 0.0363, 0.1117]
INFO:root:[0][1800/2187] Loss_D: 0.3791 Loss_G: 1.9673 R1: 0.0450 R2: 0.0328 w_avg: [ 0.3659, 0.3675, 0.3003, ..., -0.0836, 0.0362, 0.1115]
INFO:root:[0][1801/2187] Loss_D: 0.2661 Loss_G: 3.2523 R1: 0.0450 R2: 0.0273 w_avg: [ 0.3660, 0.3672, 0.3006, ..., -0.0835, 0.0361, 0.1113]
INFO:root:[0][1802/2187] Loss_D: 0.3224 Loss_G: 2.8776 R1: 0.0392 R2: 0.0414 w_avg: [ 0.3657, 0.3672, 0.3011, ..., -0.0833, 0.0364, 0.1113]
INFO:root:[0][1803/2187] Loss_D: 0.2774 Loss_G: 2.3095 R1: 0.0422 R2: 0.0332 w_avg: [ 0.3652, 0.3670, 0.3009, ..., -0.0834, 0.0361, 0.1115]
INFO:root:[0][1804/2187] Loss_D: 0.3676 Loss_G: 2.2337 R1: 0.0421 R2: 0.0350 w_avg: [ 0.3650, 0.3670, 0.3012, ..., -0.0833, 0.0361, 0.1113]
INFO:root:[0][1805/2187] Loss_D: 0.2528 Loss_G: 2.1239 R1: 0.0397 R2: 0.0275 w_avg: [ 0.3648, 0.3671, 0.3009, ..., -0.0833, 0.0359, 0.1116]
INFO:root:[0][1806/2187] Loss_D: 0.3294 Loss_G: 4.2522 R1: 0.0408 R2: 0.0397 w_avg: [ 0.3648, 0.3672, 0.3009, ..., -0.0835, 0.0359, 0.1111]
INFO:root:[0][1807/2187] Loss_D: 0.2532 Loss_G: 3.4781 R1: 0.0588 R2: 0.0379 w_avg: [ 0.3643, 0.3670, 0.3010, ..., -0.0835, 0.0358, 0.1109]
INFO:root:[0][1808/2187] Loss_D: 0.1982 Loss_G: 2.5359 R1: 0.0400 R2: 0.0347 w_avg: [ 0.3648, 0.3669, 0.3009, ..., -0.0836, 0.0359, 0.1107]
INFO:root:[0][1809/2187] Loss_D: 0.6469 Loss_G: 4.2156 R1: 0.0450 R2: 0.0294 w_avg: [ 0.3645, 0.3668, 0.3011, ..., -0.0838, 0.0358, 0.1104]
INFO:root:[0][1810/2187] Loss_D: 0.3848 Loss_G: 2.8046 R1: 0.0544 R2: 0.0368 w_avg: [ 0.3650, 0.3668, 0.3015, ..., -0.0837, 0.0358, 0.1103]
INFO:root:[0][1811/2187] Loss_D: 0.6209 Loss_G: 3.0562 R1: 0.0414 R2: 0.0451 w_avg: [ 0.3652, 0.3669, 0.3015, ..., -0.0838, 0.0358, 0.1102]
INFO:root:[0][1812/2187] Loss_D: 0.2683 Loss_G: 2.6645 R1: 0.0392 R2: 0.0378 w_avg: [ 0.3648, 0.3665, 0.3014, ..., -0.0840, 0.0358, 0.1101]
INFO:root:[0][1813/2187] Loss_D: 0.6823 Loss_G: 2.8915 R1: 0.0357 R2: 0.0363 w_avg: [ 0.3645, 0.3667, 0.3013, ..., -0.0842, 0.0357, 0.1100]
INFO:root:[0][1814/2187] Loss_D: 0.3095 Loss_G: 2.2639 R1: 0.0402 R2: 0.0414 w_avg: [ 0.3648, 0.3667, 0.3012, ..., -0.0842, 0.0356, 0.1105]
INFO:root:[0][1815/2187] Loss_D: 0.2890 Loss_G: 2.2058 R1: 0.0398 R2: 0.0431 w_avg: [ 0.3645, 0.3670, 0.3012, ..., -0.0841, 0.0356, 0.1102]
INFO:root:[0][1816/2187] Loss_D: 0.2999 Loss_G: 2.3500 R1: 0.0400 R2: 0.0468 w_avg: [ 0.3644, 0.3669, 0.3008, ..., -0.0840, 0.0355, 0.1101]
INFO:root:[0][1817/2187] Loss_D: 0.3493 Loss_G: 2.5339 R1: 0.0462 R2: 0.0513 w_avg: [ 0.3646, 0.3672, 0.3013, ..., -0.0840, 0.0357, 0.1098]
INFO:root:[0][1818/2187] Loss_D: 0.3661 Loss_G: 2.5288 R1: 0.0412 R2: 0.0413 w_avg: [ 0.3645, 0.3668, 0.3015, ..., -0.0841, 0.0356, 0.1095]
INFO:root:[0][1819/2187] Loss_D: 0.2925 Loss_G: 2.0583 R1: 0.0383 R2: 0.0391 w_avg: [ 0.3653, 0.3672, 0.3016, ..., -0.0840, 0.0355, 0.1096]
INFO:root:[0][1820/2187] Loss_D: 0.3585 Loss_G: 2.5173 R1: 0.0356 R2: 0.0278 w_avg: [ 0.3655, 0.3674, 0.3017, ..., -0.0836, 0.0353, 0.1096]
INFO:root:[0][1821/2187] Loss_D: 0.2853 Loss_G: 2.6598 R1: 0.0392 R2: 0.0294 w_avg: [ 0.3656, 0.3682, 0.3014, ..., -0.0838, 0.0353, 0.1097]
INFO:root:[0][1822/2187] Loss_D: 0.2343 Loss_G: 1.9068 R1: 0.0359 R2: 0.0293 w_avg: [ 0.3651, 0.3685, 0.3018, ..., -0.0837, 0.0351, 0.1096]
INFO:root:[0][1823/2187] Loss_D: 0.3520 Loss_G: 2.1800 R1: 0.0409 R2: 0.0385 w_avg: [ 0.3646, 0.3680, 0.3012, ..., -0.0837, 0.0352, 0.1097]
INFO:root:[0][1824/2187] Loss_D: 0.2447 Loss_G: 2.5163 R1: 0.0389 R2: 0.0291 w_avg: [ 0.3646, 0.3679, 0.3011, ..., -0.0840, 0.0353, 0.1093]
INFO:root:[0][1825/2187] Loss_D: 0.2879 Loss_G: 2.5773 R1: 0.0412 R2: 0.0256 w_avg: [ 0.3641, 0.3679, 0.3007, ..., -0.0840, 0.0352, 0.1096]
INFO:root:[0][1826/2187] Loss_D: 0.3083 Loss_G: 2.2565 R1: 0.0371 R2: 0.0327 w_avg: [ 0.3642, 0.3683, 0.3008, ..., -0.0839, 0.0350, 0.1098]
INFO:root:[0][1827/2187] Loss_D: 0.3645 Loss_G: 2.4423 R1: 0.0371 R2: 0.0364 w_avg: [ 0.3641, 0.3686, 0.3007, ..., -0.0836, 0.0349, 0.1102]
INFO:root:[0][1828/2187] Loss_D: 0.4368 Loss_G: 2.3360 R1: 0.0390 R2: 0.0388 w_avg: [ 0.3640, 0.3682, 0.3004, ..., -0.0837, 0.0352, 0.1099]
INFO:root:[0][1829/2187] Loss_D: 0.3942 Loss_G: 3.0756 R1: 0.0349 R2: 0.0317 w_avg: [ 0.3638, 0.3678, 0.3004, ..., -0.0837, 0.0350, 0.1098]
INFO:root:[0][1830/2187] Loss_D: 0.3085 Loss_G: 2.3484 R1: 0.0341 R2: 0.0271 w_avg: [ 0.3636, 0.3676, 0.3000, ..., -0.0838, 0.0349, 0.1100]
INFO:root:[0][1831/2187] Loss_D: 0.2991 Loss_G: 2.5741 R1: 0.0375 R2: 0.0338 w_avg: [ 0.3632, 0.3673, 0.2997, ..., -0.0839, 0.0350, 0.1102]
INFO:root:[0][1832/2187] Loss_D: 0.2900 Loss_G: 2.3287 R1: 0.0418 R2: 0.0378 w_avg: [ 0.3634, 0.3673, 0.2997, ..., -0.0837, 0.0351, 0.1105]
INFO:root:[0][1833/2187] Loss_D: 0.4398 Loss_G: 3.1654 R1: 0.0398 R2: 0.0335 w_avg: [ 0.3629, 0.3677, 0.2993, ..., -0.0838, 0.0350, 0.1102]
INFO:root:[0][1834/2187] Loss_D: 0.3897 Loss_G: 2.1992 R1: 0.0388 R2: 0.0218 w_avg: [ 0.3626, 0.3676, 0.2989, ..., -0.0840, 0.0350, 0.1104]
INFO:root:[0][1835/2187] Loss_D: 0.3029 Loss_G: 2.6753 R1: 0.0348 R2: 0.0334 w_avg: [ 0.3628, 0.3671, 0.2992, ..., -0.0839, 0.0350, 0.1105]
INFO:root:[0][1836/2187] Loss_D: 0.3300 Loss_G: 2.8674 R1: 0.0388 R2: 0.0414 w_avg: [ 0.3628, 0.3667, 0.2993, ..., -0.0840, 0.0350, 0.1108]
INFO:root:[0][1837/2187] Loss_D: 0.2976 Loss_G: 2.5560 R1: 0.0370 R2: 0.0362 w_avg: [ 0.3623, 0.3662, 0.2988, ..., -0.0843, 0.0349, 0.1104]
INFO:root:[0][1838/2187] Loss_D: 0.2527 Loss_G: 1.7840 R1: 0.0373 R2: 0.0314 w_avg: [ 0.3624, 0.3670, 0.2993, ..., -0.0842, 0.0348, 0.1105]
INFO:root:[0][1839/2187] Loss_D: 0.2918 Loss_G: 2.8009 R1: 0.0372 R2: 0.0315 w_avg: [ 0.3622, 0.3669, 0.2992, ..., -0.0844, 0.0347, 0.1105]
INFO:root:[0][1840/2187] Loss_D: 0.2034 Loss_G: 2.2641 R1: 0.0400 R2: 0.0312 w_avg: [ 0.3621, 0.3669, 0.2993, ..., -0.0846, 0.0348, 0.1105]
INFO:root:[0][1841/2187] Loss_D: 0.2041 Loss_G: 3.1644 R1: 0.0440 R2: 0.0319 w_avg: [ 0.3622, 0.3670, 0.2988, ..., -0.0847, 0.0346, 0.1104]
INFO:root:[0][1842/2187] Loss_D: 0.2501 Loss_G: 1.9626 R1: 0.0397 R2: 0.0305 w_avg: [ 0.3620, 0.3671, 0.2984, ..., -0.0849, 0.0345, 0.1101]
INFO:root:[0][1843/2187] Loss_D: 0.3751 Loss_G: 2.5807 R1: 0.0376 R2: 0.0367 w_avg: [ 0.3615, 0.3671, 0.2986, ..., -0.0850, 0.0343, 0.1099]
INFO:root:[0][1844/2187] Loss_D: 0.3582 Loss_G: 3.4202 R1: 0.0420 R2: 0.0340 w_avg: [ 0.3614, 0.3668, 0.2987, ..., -0.0849, 0.0340, 0.1103]
INFO:root:[0][1845/2187] Loss_D: 0.3115 Loss_G: 2.6795 R1: 0.0392 R2: 0.0409 w_avg: [ 0.3614, 0.3670, 0.2986, ..., -0.0850, 0.0340, 0.1100]
INFO:root:[0][1846/2187] Loss_D: 0.5321 Loss_G: 2.3461 R1: 0.0388 R2: 0.0419 w_avg: [ 0.3609, 0.3667, 0.2984, ..., -0.0850, 0.0339, 0.1098]
INFO:root:[0][1847/2187] Loss_D: 0.4079 Loss_G: 2.2666 R1: 0.0395 R2: 0.0407 w_avg: [ 0.3606, 0.3672, 0.2982, ..., -0.0852, 0.0341, 0.1097]
INFO:root:[0][1848/2187] Loss_D: 0.4514 Loss_G: 2.9278 R1: 0.0349 R2: 0.0316 w_avg: [ 0.3598, 0.3668, 0.2978, ..., -0.0854, 0.0341, 0.1095]
INFO:root:[0][1849/2187] Loss_D: 0.2813 Loss_G: 2.6477 R1: 0.0355 R2: 0.0292 w_avg: [ 0.3599, 0.3669, 0.2974, ..., -0.0855, 0.0339, 0.1094]
INFO:root:[0][1850/2187] Loss_D: 0.1962 Loss_G: 2.4992 R1: 0.0389 R2: 0.0302 w_avg: [ 0.3597, 0.3663, 0.2971, ..., -0.0857, 0.0338, 0.1092]
INFO:root:[0][1851/2187] Loss_D: 0.3597 Loss_G: 2.4019 R1: 0.0352 R2: 0.0252 w_avg: [ 0.3598, 0.3670, 0.2967, ..., -0.0858, 0.0338, 0.1093]
INFO:root:[0][1852/2187] Loss_D: 0.5086 Loss_G: 2.5501 R1: 0.0335 R2: 0.0372 w_avg: [ 0.3597, 0.3670, 0.2968, ..., -0.0859, 0.0338, 0.1094]
INFO:root:[0][1853/2187] Loss_D: 0.2932 Loss_G: 2.3120 R1: 0.0342 R2: 0.0341 w_avg: [ 0.3597, 0.3668, 0.2966, ..., -0.0857, 0.0337, 0.1092]
INFO:root:[0][1854/2187] Loss_D: 0.2795 Loss_G: 2.7664 R1: 0.0347 R2: 0.0286 w_avg: [ 0.3596, 0.3670, 0.2966, ..., -0.0859, 0.0335, 0.1089]
INFO:root:[0][1855/2187] Loss_D: 0.3632 Loss_G: 2.8948 R1: 0.0321 R2: 0.0295 w_avg: [ 0.3601, 0.3672, 0.2966, ..., -0.0859, 0.0333, 0.1091]
INFO:root:[0][1856/2187] Loss_D: 0.2377 Loss_G: 2.4881 R1: 0.0338 R2: 0.0310 w_avg: [ 0.3599, 0.3675, 0.2962, ..., -0.0861, 0.0333, 0.1089]
INFO:root:[0][1857/2187] Loss_D: 0.2703 Loss_G: 3.1675 R1: 0.0352 R2: 0.0332 w_avg: [ 0.3601, 0.3677, 0.2957, ..., -0.0864, 0.0334, 0.1092]
INFO:root:[0][1858/2187] Loss_D: 0.2336 Loss_G: 2.4401 R1: 0.0393 R2: 0.0367 w_avg: [ 0.3608, 0.3680, 0.2957, ..., -0.0864, 0.0338, 0.1095]
INFO:root:[0][1859/2187] Loss_D: 0.2285 Loss_G: 3.2735 R1: 0.0389 R2: 0.0280 w_avg: [ 0.3604, 0.3679, 0.2958, ..., -0.0867, 0.0337, 0.1093]
INFO:root:[0][1860/2187] Loss_D: 0.2962 Loss_G: 2.7338 R1: 0.0359 R2: 0.0360 w_avg: [ 0.3601, 0.3687, 0.2956, ..., -0.0868, 0.0336, 0.1090]
INFO:root:[0][1861/2187] Loss_D: 0.2349 Loss_G: 3.7611 R1: 0.0404 R2: 0.0329 w_avg: [ 0.3599, 0.3685, 0.2955, ..., -0.0868, 0.0337, 0.1091]
INFO:root:[0][1862/2187] Loss_D: 0.2739 Loss_G: 3.4665 R1: 0.0436 R2: 0.0383 w_avg: [ 0.3598, 0.3681, 0.2958, ..., -0.0867, 0.0340, 0.1089]
INFO:root:[0][1863/2187] Loss_D: 0.2899 Loss_G: 4.9006 R1: 0.0448 R2: 0.0504 w_avg: [ 0.3595, 0.3677, 0.2958, ..., -0.0868, 0.0342, 0.1088]
INFO:root:[0][1864/2187] Loss_D: 0.2402 Loss_G: 3.4792 R1: 0.0553 R2: 0.0415 w_avg: [ 0.3595, 0.3677, 0.2954, ..., -0.0869, 0.0344, 0.1088]
INFO:root:[0][1865/2187] Loss_D: 0.1758 Loss_G: 3.3563 R1: 0.0457 R2: 0.0327 w_avg: [ 0.3590, 0.3678, 0.2956, ..., -0.0871, 0.0340, 0.1086]
INFO:root:[0][1866/2187] Loss_D: 0.3096 Loss_G: 3.2395 R1: 0.0433 R2: 0.0351 w_avg: [ 0.3587, 0.3677, 0.2953, ..., -0.0870, 0.0342, 0.1085]
INFO:root:[0][1867/2187] Loss_D: 0.3480 Loss_G: 3.5188 R1: 0.0366 R2: 0.0370 w_avg: [ 0.3588, 0.3675, 0.2952, ..., -0.0868, 0.0342, 0.1083]
INFO:root:[0][1868/2187] Loss_D: 0.5205 Loss_G: 2.8082 R1: 0.0391 R2: 0.0402 w_avg: [ 0.3586, 0.3671, 0.2953, ..., -0.0869, 0.0342, 0.1084]
INFO:root:[0][1869/2187] Loss_D: 0.2877 Loss_G: 2.4812 R1: 0.0402 R2: 0.0340 w_avg: [ 0.3585, 0.3673, 0.2949, ..., -0.0869, 0.0343, 0.1085]
INFO:root:[0][1870/2187] Loss_D: 0.4194 Loss_G: 2.4949 R1: 0.0367 R2: 0.0313 w_avg: [ 0.3582, 0.3674, 0.2944, ..., -0.0870, 0.0342, 0.1087]
INFO:root:[0][1871/2187] Loss_D: 0.2664 Loss_G: 2.4609 R1: 0.0415 R2: 0.0344 w_avg: [ 0.3585, 0.3675, 0.2948, ..., -0.0865, 0.0340, 0.1085]
INFO:root:[0][1872/2187] Loss_D: 0.2430 Loss_G: 3.0107 R1: 0.0381 R2: 0.0363 w_avg: [ 0.3584, 0.3678, 0.2949, ..., -0.0862, 0.0338, 0.1085]
INFO:root:[0][1873/2187] Loss_D: 0.3976 Loss_G: 2.4614 R1: 0.0418 R2: 0.0417 w_avg: [ 0.3583, 0.3675, 0.2953, ..., -0.0861, 0.0341, 0.1086]
INFO:root:[0][1874/2187] Loss_D: 0.2701 Loss_G: 3.0123 R1: 0.0393 R2: 0.0585 w_avg: [ 0.3582, 0.3673, 0.2950, ..., -0.0862, 0.0340, 0.1087]
INFO:root:[0][1875/2187] Loss_D: 0.1978 Loss_G: 2.7224 R1: 0.0461 R2: 0.0328 w_avg: [ 0.3582, 0.3671, 0.2949, ..., -0.0863, 0.0340, 0.1085]
INFO:root:[0][1876/2187] Loss_D: 0.4120 Loss_G: 2.8510 R1: 0.0396 R2: 0.0362 w_avg: [ 0.3580, 0.3671, 0.2948, ..., -0.0864, 0.0339, 0.1083]
INFO:root:[0][1877/2187] Loss_D: 0.3292 Loss_G: 2.5770 R1: 0.0352 R2: 0.0296 w_avg: [ 0.3577, 0.3662, 0.2948, ..., -0.0866, 0.0343, 0.1082]
INFO:root:[0][1878/2187] Loss_D: 0.3257 Loss_G: 2.9914 R1: 0.0280 R2: 0.0202 w_avg: [ 0.3575, 0.3662, 0.2949, ..., -0.0866, 0.0343, 0.1081]
INFO:root:[0][1879/2187] Loss_D: 0.3685 Loss_G: 2.3574 R1: 0.0341 R2: 0.0337 w_avg: [ 0.3573, 0.3660, 0.2952, ..., -0.0866, 0.0343, 0.1079]
INFO:root:[0][1880/2187] Loss_D: 0.2594 Loss_G: 2.6485 R1: 0.0387 R2: 0.0278 w_avg: [ 0.3573, 0.3663, 0.2950, ..., -0.0867, 0.0342, 0.1078]
INFO:root:[0][1881/2187] Loss_D: 0.2472 Loss_G: 2.3929 R1: 0.0432 R2: 0.0343 w_avg: [ 0.3566, 0.3662, 0.2951, ..., -0.0867, 0.0341, 0.1075]
INFO:root:[0][1882/2187] Loss_D: 0.3636 Loss_G: 2.5317 R1: 0.0409 R2: 0.0332 w_avg: [ 0.3568, 0.3665, 0.2950, ..., -0.0867, 0.0342, 0.1074]
INFO:root:[0][1883/2187] Loss_D: 0.2259 Loss_G: 2.2506 R1: 0.0366 R2: 0.0287 w_avg: [ 0.3569, 0.3661, 0.2943, ..., -0.0863, 0.0342, 0.1078]
INFO:root:[0][1884/2187] Loss_D: 0.2962 Loss_G: 3.0817 R1: 0.0353 R2: 0.0258 w_avg: [ 0.3569, 0.3657, 0.2941, ..., -0.0862, 0.0341, 0.1075]
INFO:root:[0][1885/2187] Loss_D: 0.3272 Loss_G: 3.2343 R1: 0.0414 R2: 0.0271 w_avg: [ 0.3564, 0.3658, 0.2947, ..., -0.0864, 0.0343, 0.1074]
INFO:root:[0][1886/2187] Loss_D: 0.3042 Loss_G: 1.9262 R1: 0.0404 R2: 0.0306 w_avg: [ 0.3561, 0.3661, 0.2951, ..., -0.0864, 0.0341, 0.1071]
INFO:root:[0][1887/2187] Loss_D: 0.2575 Loss_G: 2.2730 R1: 0.0455 R2: 0.0355 w_avg: [ 0.3557, 0.3666, 0.2953, ..., -0.0867, 0.0339, 0.1069]
INFO:root:[0][1888/2187] Loss_D: 0.2386 Loss_G: 2.7757 R1: 0.0473 R2: 0.0440 w_avg: [ 0.3553, 0.3668, 0.2950, ..., -0.0867, 0.0339, 0.1068]
INFO:root:[0][1889/2187] Loss_D: 0.4666 Loss_G: 3.6282 R1: 0.0433 R2: 0.0375 w_avg: [ 0.3551, 0.3669, 0.2951, ..., -0.0866, 0.0342, 0.1066]
INFO:root:[0][1890/2187] Loss_D: 0.2612 Loss_G: 2.3843 R1: 0.0421 R2: 0.0344 w_avg: [ 0.3553, 0.3666, 0.2955, ..., -0.0867, 0.0342, 0.1067]
INFO:root:[0][1891/2187] Loss_D: 0.3530 Loss_G: 2.3519 R1: 0.0362 R2: 0.0329 w_avg: [ 0.3546, 0.3661, 0.2954, ..., -0.0866, 0.0340, 0.1067]
INFO:root:[0][1892/2187] Loss_D: 0.3544 Loss_G: 2.0673 R1: 0.0430 R2: 0.0348 w_avg: [ 0.3549, 0.3655, 0.2954, ..., -0.0869, 0.0342, 0.1068]
INFO:root:[0][1893/2187] Loss_D: 0.2686 Loss_G: 2.8137 R1: 0.0391 R2: 0.0311 w_avg: [ 0.3546, 0.3656, 0.2956, ..., -0.0870, 0.0339, 0.1070]
INFO:root:[0][1894/2187] Loss_D: 0.2579 Loss_G: 2.4426 R1: 0.0377 R2: 0.0226 w_avg: [ 0.3542, 0.3650, 0.2957, ..., -0.0872, 0.0340, 0.1070]
INFO:root:[0][1895/2187] Loss_D: 0.2922 Loss_G: 2.3332 R1: 0.0421 R2: 0.0317 w_avg: [ 0.3541, 0.3649, 0.2955, ..., -0.0872, 0.0339, 0.1072]
INFO:root:[0][1896/2187] Loss_D: 0.2881 Loss_G: 2.1546 R1: 0.0409 R2: 0.0354 w_avg: [ 0.3543, 0.3650, 0.2952, ..., -0.0873, 0.0338, 0.1072]
INFO:root:[0][1897/2187] Loss_D: 0.4615 Loss_G: 2.6718 R1: 0.0370 R2: 0.0342 w_avg: [ 0.3543, 0.3646, 0.2947, ..., -0.0873, 0.0338, 0.1072]
INFO:root:[0][1898/2187] Loss_D: 0.3648 Loss_G: 1.7306 R1: 0.0337 R2: 0.0252 w_avg: [ 0.3540, 0.3645, 0.2945, ..., -0.0872, 0.0339, 0.1071]
INFO:root:[0][1899/2187] Loss_D: 0.2838 Loss_G: 2.1962 R1: 0.0304 R2: 0.0213 w_avg: [ 0.3537, 0.3650, 0.2948, ..., -0.0874, 0.0338, 0.1068]
INFO:root:[0][1900/2187] Loss_D: 0.3300 Loss_G: 2.6878 R1: 0.0356 R2: 0.0300 w_avg: [ 0.3532, 0.3648, 0.2947, ..., -0.0873, 0.0338, 0.1067]
INFO:root:[0][1901/2187] Loss_D: 0.5875 Loss_G: 2.1943 R1: 0.0390 R2: 0.0335 w_avg: [ 0.3532, 0.3651, 0.2945, ..., -0.0870, 0.0334, 0.1064]
INFO:root:[0][1902/2187] Loss_D: 0.3257 Loss_G: 2.4534 R1: 0.0414 R2: 0.0298 w_avg: [ 0.3531, 0.3648, 0.2945, ..., -0.0871, 0.0333, 0.1065]
INFO:root:[0][1903/2187] Loss_D: 0.3074 Loss_G: 2.6067 R1: 0.0432 R2: 0.0351 w_avg: [ 0.3529, 0.3645, 0.2945, ..., -0.0870, 0.0334, 0.1063]
INFO:root:[0][1904/2187] Loss_D: 0.2912 Loss_G: 2.8349 R1: 0.0427 R2: 0.0440 w_avg: [ 0.3523, 0.3639, 0.2946, ..., -0.0872, 0.0334, 0.1060]
INFO:root:[0][1905/2187] Loss_D: 0.2461 Loss_G: 3.0311 R1: 0.0463 R2: 0.0276 w_avg: [ 0.3521, 0.3636, 0.2949, ..., -0.0871, 0.0338, 0.1059]
INFO:root:[0][1906/2187] Loss_D: 0.2509 Loss_G: 2.4879 R1: 0.0431 R2: 0.0290 w_avg: [ 0.3517, 0.3637, 0.2947, ..., -0.0873, 0.0337, 0.1059]
INFO:root:[0][1907/2187] Loss_D: 0.3106 Loss_G: 2.8094 R1: 0.0418 R2: 0.0443 w_avg: [ 0.3515, 0.3633, 0.2943, ..., -0.0875, 0.0338, 0.1058]
INFO:root:[0][1908/2187] Loss_D: 0.2891 Loss_G: 2.7621 R1: 0.0437 R2: 0.0274 w_avg: [ 0.3512, 0.3626, 0.2942, ..., -0.0875, 0.0338, 0.1058]
INFO:root:[0][1909/2187] Loss_D: 0.2927 Loss_G: 3.2826 R1: 0.0429 R2: 0.0379 w_avg: [ 0.3507, 0.3625, 0.2939, ..., -0.0871, 0.0338, 0.1059]
INFO:root:[0][1910/2187] Loss_D: 0.2957 Loss_G: 2.6723 R1: 0.0447 R2: 0.0357 w_avg: [ 0.3509, 0.3626, 0.2941, ..., -0.0872, 0.0339, 0.1062]
INFO:root:[0][1911/2187] Loss_D: 0.2738 Loss_G: 2.0476 R1: 0.0525 R2: 0.0428 w_avg: [ 0.3509, 0.3626, 0.2943, ..., -0.0872, 0.0341, 0.1061]
INFO:root:[0][1912/2187] Loss_D: 0.5408 Loss_G: 1.8041 R1: 0.0407 R2: 0.0402 w_avg: [ 0.3506, 0.3625, 0.2941, ..., -0.0871, 0.0338, 0.1064]
INFO:root:[0][1913/2187] Loss_D: 0.3082 Loss_G: 2.1050 R1: 0.0446 R2: 0.0311 w_avg: [ 0.3505, 0.3622, 0.2941, ..., -0.0871, 0.0338, 0.1063]
INFO:root:[0][1914/2187] Loss_D: 0.3166 Loss_G: 2.7936 R1: 0.0428 R2: 0.0317 w_avg: [ 0.3509, 0.3618, 0.2939, ..., -0.0872, 0.0342, 0.1063]
INFO:root:[0][1915/2187] Loss_D: 0.2609 Loss_G: 2.2128 R1: 0.0424 R2: 0.0365 w_avg: [ 0.3510, 0.3615, 0.2937, ..., -0.0872, 0.0341, 0.1063]
INFO:root:[0][1916/2187] Loss_D: 0.3219 Loss_G: 2.6172 R1: 0.0393 R2: 0.0314 w_avg: [ 0.3512, 0.3617, 0.2936, ..., -0.0869, 0.0339, 0.1062]
INFO:root:[0][1917/2187] Loss_D: 0.3018 Loss_G: 2.8529 R1: 0.0486 R2: 0.0389 w_avg: [ 0.3508, 0.3615, 0.2933, ..., -0.0869, 0.0340, 0.1063]
INFO:root:[0][1918/2187] Loss_D: 0.2306 Loss_G: 3.8354 R1: 0.0382 R2: 0.0261 w_avg: [ 0.3507, 0.3616, 0.2938, ..., -0.0870, 0.0343, 0.1059]
INFO:root:[0][1919/2187] Loss_D: 0.5784 Loss_G: 1.9263 R1: 0.0385 R2: 0.0335 w_avg: [ 0.3508, 0.3616, 0.2938, ..., -0.0872, 0.0342, 0.1062]
INFO:root:[0][1920/2187] Loss_D: 0.2848 Loss_G: 2.8114 R1: 0.0328 R2: 0.0203 w_avg: [ 0.3513, 0.3615, 0.2942, ..., -0.0873, 0.0342, 0.1061]
INFO:root:[0][1921/2187] Loss_D: 0.3528 Loss_G: 2.3878 R1: 0.0419 R2: 0.0265 w_avg: [ 0.3512, 0.3614, 0.2939, ..., -0.0875, 0.0343, 0.1059]
INFO:root:[0][1922/2187] Loss_D: 0.3065 Loss_G: 2.6234 R1: 0.0439 R2: 0.0325 w_avg: [ 0.3511, 0.3609, 0.2942, ..., -0.0876, 0.0342, 0.1059]
INFO:root:[0][1923/2187] Loss_D: 0.2533 Loss_G: 2.2709 R1: 0.0425 R2: 0.0309 w_avg: [ 0.3507, 0.3606, 0.2937, ..., -0.0877, 0.0345, 0.1059]
INFO:root:[0][1924/2187] Loss_D: 0.3333 Loss_G: 2.5034 R1: 0.0415 R2: 0.0436 w_avg: [ 0.3504, 0.3603, 0.2936, ..., -0.0879, 0.0344, 0.1057]
INFO:root:[0][1925/2187] Loss_D: 0.2443 Loss_G: 2.8639 R1: 0.0450 R2: 0.0346 w_avg: [ 0.3494, 0.3604, 0.2929, ..., -0.0878, 0.0345, 0.1062]
INFO:root:[0][1926/2187] Loss_D: 0.3267 Loss_G: 1.9556 R1: 0.0375 R2: 0.0462 w_avg: [ 0.3493, 0.3605, 0.2926, ..., -0.0878, 0.0349, 0.1065]
INFO:root:[0][1927/2187] Loss_D: 0.3213 Loss_G: 2.3816 R1: 0.0431 R2: 0.0327 w_avg: [ 0.3490, 0.3603, 0.2929, ..., -0.0876, 0.0350, 0.1062]
INFO:root:[0][1928/2187] Loss_D: 0.2566 Loss_G: 2.6079 R1: 0.0494 R2: 0.0269 w_avg: [ 0.3485, 0.3605, 0.2925, ..., -0.0875, 0.0348, 0.1061]
INFO:root:[0][1929/2187] Loss_D: 0.2552 Loss_G: 1.6328 R1: 0.0411 R2: 0.0338 w_avg: [ 0.3484, 0.3598, 0.2926, ..., -0.0877, 0.0349, 0.1061]
INFO:root:[0][1930/2187] Loss_D: 0.2828 Loss_G: 2.7271 R1: 0.0402 R2: 0.0343 w_avg: [ 0.3480, 0.3599, 0.2923, ..., -0.0876, 0.0349, 0.1059]
INFO:root:[0][1931/2187] Loss_D: 0.2799 Loss_G: 2.7117 R1: 0.0376 R2: 0.0379 w_avg: [ 0.3477, 0.3601, 0.2923, ..., -0.0878, 0.0348, 0.1062]
INFO:root:[0][1932/2187] Loss_D: 0.4027 Loss_G: 2.1882 R1: 0.0411 R2: 0.0378 w_avg: [ 0.3474, 0.3594, 0.2919, ..., -0.0879, 0.0346, 0.1061]
INFO:root:[0][1933/2187] Loss_D: 0.3096 Loss_G: 2.5987 R1: 0.0431 R2: 0.0388 w_avg: [ 0.3472, 0.3596, 0.2920, ..., -0.0876, 0.0345, 0.1061]
INFO:root:[0][1934/2187] Loss_D: 0.2705 Loss_G: 2.9411 R1: 0.0386 R2: 0.0356 w_avg: [ 0.3469, 0.3592, 0.2920, ..., -0.0877, 0.0343, 0.1061]
INFO:root:[0][1935/2187] Loss_D: 0.4639 Loss_G: 3.0087 R1: 0.0357 R2: 0.0300 w_avg: [ 0.3469, 0.3588, 0.2918, ..., -0.0879, 0.0343, 0.1061]
INFO:root:[0][1936/2187] Loss_D: 0.3303 Loss_G: 2.3077 R1: 0.0385 R2: 0.0378 w_avg: [ 0.3471, 0.3588, 0.2916, ..., -0.0881, 0.0341, 0.1058]
INFO:root:[0][1937/2187] Loss_D: 0.2560 Loss_G: 1.8780 R1: 0.0403 R2: 0.0345 w_avg: [ 0.3471, 0.3587, 0.2913, ..., -0.0881, 0.0342, 0.1057]
INFO:root:[0][1938/2187] Loss_D: 0.3153 Loss_G: 2.9779 R1: 0.0466 R2: 0.0421 w_avg: [ 0.3468, 0.3589, 0.2915, ..., -0.0883, 0.0342, 0.1056]
INFO:root:[0][1939/2187] Loss_D: 0.3520 Loss_G: 2.4087 R1: 0.0453 R2: 0.0448 w_avg: [ 0.3462, 0.3590, 0.2916, ..., -0.0882, 0.0345, 0.1053]
INFO:root:[0][1940/2187] Loss_D: 0.3410 Loss_G: 2.8270 R1: 0.0452 R2: 0.0335 w_avg: [ 0.3460, 0.3588, 0.2914, ..., -0.0883, 0.0345, 0.1054]
INFO:root:[0][1941/2187] Loss_D: 0.2688 Loss_G: 2.7498 R1: 0.0433 R2: 0.0393 w_avg: [ 0.3459, 0.3588, 0.2912, ..., -0.0882, 0.0349, 0.1052]
INFO:root:[0][1942/2187] Loss_D: 0.4353 Loss_G: 2.8227 R1: 0.0512 R2: 0.0341 w_avg: [ 0.3455, 0.3587, 0.2913, ..., -0.0884, 0.0351, 0.1051]
INFO:root:[0][1943/2187] Loss_D: 0.5702 Loss_G: 2.5151 R1: 0.0478 R2: 0.0438 w_avg: [ 0.3453, 0.3588, 0.2910, ..., -0.0884, 0.0350, 0.1049]
INFO:root:[0][1944/2187] Loss_D: 0.4742 Loss_G: 3.0040 R1: 0.0375 R2: 0.0339 w_avg: [ 0.3452, 0.3592, 0.2908, ..., -0.0886, 0.0354, 0.1049]
INFO:root:[0][1945/2187] Loss_D: 0.1981 Loss_G: 2.3230 R1: 0.0405 R2: 0.0414 w_avg: [ 0.3454, 0.3596, 0.2906, ..., -0.0889, 0.0355, 0.1050]
INFO:root:[0][1946/2187] Loss_D: 0.2479 Loss_G: 2.6001 R1: 0.0451 R2: 0.0408 w_avg: [ 0.3453, 0.3595, 0.2902, ..., -0.0890, 0.0356, 0.1048]
INFO:root:[0][1947/2187] Loss_D: 0.4431 Loss_G: 2.8993 R1: 0.0489 R2: 0.0320 w_avg: [ 0.3452, 0.3588, 0.2900, ..., -0.0888, 0.0353, 0.1047]
INFO:root:[0][1948/2187] Loss_D: 0.2673 Loss_G: 2.3465 R1: 0.0446 R2: 0.0381 w_avg: [ 0.3456, 0.3589, 0.2899, ..., -0.0889, 0.0354, 0.1048]
INFO:root:[0][1949/2187] Loss_D: 0.2588 Loss_G: 1.8471 R1: 0.0473 R2: 0.0361 w_avg: [ 0.3450, 0.3591, 0.2897, ..., -0.0889, 0.0351, 0.1049]
INFO:root:[0][1950/2187] Loss_D: 0.5825 Loss_G: 2.3647 R1: 0.0410 R2: 0.0574 w_avg: [ 0.3449, 0.3587, 0.2894, ..., -0.0890, 0.0351, 0.1049]
INFO:root:[0][1951/2187] Loss_D: 0.3789 Loss_G: 2.1038 R1: 0.0382 R2: 0.0321 w_avg: [ 0.3443, 0.3586, 0.2888, ..., -0.0889, 0.0351, 0.1052]
INFO:root:[0][1952/2187] Loss_D: 0.2161 Loss_G: 2.5583 R1: 0.0390 R2: 0.0340 w_avg: [ 0.3439, 0.3585, 0.2884, ..., -0.0888, 0.0353, 0.1053]
INFO:root:[0][1953/2187] Loss_D: 0.2869 Loss_G: 2.4169 R1: 0.0323 R2: 0.0365 w_avg: [ 0.3435, 0.3582, 0.2884, ..., -0.0890, 0.0356, 0.1049]
INFO:root:[0][1954/2187] Loss_D: 0.2377 Loss_G: 2.3978 R1: 0.0395 R2: 0.0385 w_avg: [ 0.3434, 0.3578, 0.2881, ..., -0.0891, 0.0364, 0.1050]
INFO:root:[0][1955/2187] Loss_D: 0.2162 Loss_G: 2.5496 R1: 0.0379 R2: 0.0374 w_avg: [ 0.3426, 0.3580, 0.2880, ..., -0.0892, 0.0365, 0.1051]
INFO:root:[0][1956/2187] Loss_D: 0.3481 Loss_G: 2.1427 R1: 0.0388 R2: 0.0350 w_avg: [ 0.3425, 0.3578, 0.2882, ..., -0.0892, 0.0368, 0.1050]
INFO:root:[0][1957/2187] Loss_D: 0.3027 Loss_G: 2.2229 R1: 0.0440 R2: 0.0342 w_avg: [ 0.3430, 0.3584, 0.2883, ..., -0.0892, 0.0366, 0.1053]
INFO:root:[0][1958/2187] Loss_D: 0.3363 Loss_G: 2.3601 R1: 0.0367 R2: 0.0277 w_avg: [ 0.3432, 0.3584, 0.2878, ..., -0.0893, 0.0368, 0.1051]
INFO:root:[0][1959/2187] Loss_D: 0.1806 Loss_G: 2.3706 R1: 0.0407 R2: 0.0324 w_avg: [ 0.3428, 0.3583, 0.2875, ..., -0.0895, 0.0364, 0.1054]
INFO:root:[0][1960/2187] Loss_D: 0.4510 Loss_G: 2.3104 R1: 0.0410 R2: 0.0309 w_avg: [ 0.3425, 0.3583, 0.2878, ..., -0.0896, 0.0363, 0.1049]
INFO:root:[0][1961/2187] Loss_D: 0.3176 Loss_G: 2.5875 R1: 0.0441 R2: 0.0360 w_avg: [ 0.3423, 0.3582, 0.2881, ..., -0.0898, 0.0365, 0.1049]
INFO:root:[0][1962/2187] Loss_D: 0.3131 Loss_G: 2.1678 R1: 0.0432 R2: 0.0221 w_avg: [ 0.3422, 0.3583, 0.2883, ..., -0.0900, 0.0364, 0.1046]
INFO:root:[0][1963/2187] Loss_D: 0.3544 Loss_G: 2.7606 R1: 0.0421 R2: 0.0259 w_avg: [ 0.3417, 0.3580, 0.2882, ..., -0.0901, 0.0363, 0.1044]
INFO:root:[0][1964/2187] Loss_D: 0.3364 Loss_G: 2.8313 R1: 0.0389 R2: 0.0276 w_avg: [ 0.3414, 0.3580, 0.2877, ..., -0.0902, 0.0367, 0.1042]
INFO:root:[0][1965/2187] Loss_D: 0.3520 Loss_G: 2.0756 R1: 0.0415 R2: 0.0368 w_avg: [ 0.3418, 0.3575, 0.2874, ..., -0.0904, 0.0369, 0.1040]
INFO:root:[0][1966/2187] Loss_D: 0.4304 Loss_G: 2.5032 R1: 0.0511 R2: 0.0349 w_avg: [ 0.3418, 0.3575, 0.2868, ..., -0.0904, 0.0369, 0.1040]
INFO:root:[0][1967/2187] Loss_D: 0.2538 Loss_G: 2.8557 R1: 0.0479 R2: 0.0281 w_avg: [ 0.3415, 0.3572, 0.2869, ..., -0.0904, 0.0367, 0.1036]
INFO:root:[0][1968/2187] Loss_D: 0.3277 Loss_G: 2.5066 R1: 0.0425 R2: 0.0397 w_avg: [ 0.3420, 0.3571, 0.2870, ..., -0.0905, 0.0368, 0.1034]
INFO:root:[0][1969/2187] Loss_D: 0.3169 Loss_G: 2.3623 R1: 0.0465 R2: 0.0409 w_avg: [ 0.3418, 0.3570, 0.2869, ..., -0.0906, 0.0367, 0.1030]
INFO:root:[0][1970/2187] Loss_D: 0.2572 Loss_G: 2.6483 R1: 0.0440 R2: 0.0516 w_avg: [ 0.3415, 0.3568, 0.2872, ..., -0.0907, 0.0366, 0.1027]
INFO:root:[0][1971/2187] Loss_D: 0.4090 Loss_G: 3.7560 R1: 0.0465 R2: 0.0385 w_avg: [ 0.3413, 0.3565, 0.2869, ..., -0.0908, 0.0367, 0.1029]
INFO:root:[0][1972/2187] Loss_D: 0.2336 Loss_G: 2.8763 R1: 0.0425 R2: 0.0289 w_avg: [ 0.3415, 0.3568, 0.2871, ..., -0.0908, 0.0365, 0.1028]
INFO:root:[0][1973/2187] Loss_D: 0.3923 Loss_G: 1.6982 R1: 0.0454 R2: 0.0335 w_avg: [ 0.3413, 0.3568, 0.2872, ..., -0.0908, 0.0363, 0.1029]
INFO:root:[0][1974/2187] Loss_D: 0.3216 Loss_G: 3.8200 R1: 0.0382 R2: 0.0190 w_avg: [ 0.3413, 0.3568, 0.2869, ..., -0.0911, 0.0366, 0.1033]
INFO:root:[0][1975/2187] Loss_D: 0.2629 Loss_G: 2.9608 R1: 0.0463 R2: 0.0291 w_avg: [ 0.3415, 0.3569, 0.2867, ..., -0.0911, 0.0366, 0.1033]
INFO:root:[0][1976/2187] Loss_D: 0.4537 Loss_G: 2.6860 R1: 0.0387 R2: 0.0223 w_avg: [ 0.3417, 0.3572, 0.2870, ..., -0.0913, 0.0366, 0.1033]
INFO:root:[0][1977/2187] Loss_D: 0.2726 Loss_G: 2.2695 R1: 0.0383 R2: 0.0282 w_avg: [ 0.3417, 0.3570, 0.2869, ..., -0.0914, 0.0369, 0.1032]
INFO:root:[0][1978/2187] Loss_D: 0.3333 Loss_G: 2.7671 R1: 0.0399 R2: 0.0471 w_avg: [ 0.3414, 0.3573, 0.2868, ..., -0.0913, 0.0371, 0.1033]
INFO:root:[0][1979/2187] Loss_D: 0.3347 Loss_G: 2.3404 R1: 0.0443 R2: 0.0382 w_avg: [ 0.3413, 0.3568, 0.2866, ..., -0.0915, 0.0376, 0.1037]
INFO:root:[0][1980/2187] Loss_D: 0.3461 Loss_G: 2.6167 R1: 0.0478 R2: 0.0439 w_avg: [ 0.3413, 0.3577, 0.2865, ..., -0.0912, 0.0374, 0.1039]
INFO:root:[0][1981/2187] Loss_D: 0.3244 Loss_G: 2.6332 R1: 0.0392 R2: 0.0392 w_avg: [ 0.3408, 0.3574, 0.2864, ..., -0.0914, 0.0373, 0.1039]
INFO:root:[0][1982/2187] Loss_D: 0.3400 Loss_G: 2.3484 R1: 0.0399 R2: 0.0402 w_avg: [ 0.3409, 0.3572, 0.2869, ..., -0.0915, 0.0370, 0.1036]
INFO:root:[0][1983/2187] Loss_D: 0.5044 Loss_G: 2.8239 R1: 0.0381 R2: 0.0434 w_avg: [ 0.3409, 0.3568, 0.2866, ..., -0.0917, 0.0371, 0.1039]
INFO:root:[0][1984/2187] Loss_D: 0.4577 Loss_G: 2.3564 R1: 0.0343 R2: 0.0264 w_avg: [ 0.3410, 0.3571, 0.2864, ..., -0.0918, 0.0368, 0.1038]
INFO:root:[0][1985/2187] Loss_D: 0.3038 Loss_G: 2.1494 R1: 0.0468 R2: 0.0338 w_avg: [ 0.3405, 0.3570, 0.2865, ..., -0.0920, 0.0372, 0.1035]
INFO:root:[0][1986/2187] Loss_D: 0.1773 Loss_G: 2.8153 R1: 0.0408 R2: 0.0287 w_avg: [ 0.3411, 0.3571, 0.2867, ..., -0.0920, 0.0376, 0.1034]
INFO:root:[0][1987/2187] Loss_D: 0.3310 Loss_G: 2.6679 R1: 0.0365 R2: 0.0324 w_avg: [ 0.3410, 0.3574, 0.2866, ..., -0.0918, 0.0375, 0.1033]
INFO:root:[0][1988/2187] Loss_D: 0.3446 Loss_G: 2.6281 R1: 0.0389 R2: 0.0381 w_avg: [ 0.3410, 0.3574, 0.2869, ..., -0.0917, 0.0375, 0.1033]
INFO:root:[0][1989/2187] Loss_D: 0.2046 Loss_G: 2.6394 R1: 0.0416 R2: 0.0321 w_avg: [ 0.3404, 0.3575, 0.2863, ..., -0.0914, 0.0376, 0.1036]
INFO:root:[0][1990/2187] Loss_D: 0.2805 Loss_G: 2.1790 R1: 0.0400 R2: 0.0385 w_avg: [ 0.3411, 0.3580, 0.2864, ..., -0.0916, 0.0373, 0.1034]
INFO:root:[0][1991/2187] Loss_D: 0.2735 Loss_G: 1.9769 R1: 0.0396 R2: 0.0347 w_avg: [ 0.3408, 0.3577, 0.2858, ..., -0.0916, 0.0373, 0.1034]
INFO:root:[0][1992/2187] Loss_D: 0.2970 Loss_G: 2.5095 R1: 0.0410 R2: 0.0307 w_avg: [ 0.3402, 0.3571, 0.2856, ..., -0.0917, 0.0374, 0.1031]
INFO:root:[0][1993/2187] Loss_D: 0.3464 Loss_G: 2.4615 R1: 0.0406 R2: 0.0414 w_avg: [ 0.3401, 0.3567, 0.2855, ..., -0.0916, 0.0371, 0.1029]
INFO:root:[0][1994/2187] Loss_D: 0.3583 Loss_G: 2.4819 R1: 0.0447 R2: 0.0449 w_avg: [ 0.3400, 0.3569, 0.2853, ..., -0.0914, 0.0368, 0.1036]
INFO:root:[0][1995/2187] Loss_D: 0.2874 Loss_G: 2.5978 R1: 0.0423 R2: 0.0306 w_avg: [ 0.3400, 0.3568, 0.2850, ..., -0.0916, 0.0366, 0.1035]
INFO:root:[0][1996/2187] Loss_D: 0.2566 Loss_G: 2.5212 R1: 0.0472 R2: 0.0302 w_avg: [ 0.3399, 0.3568, 0.2847, ..., -0.0916, 0.0363, 0.1036]
INFO:root:[0][1997/2187] Loss_D: 0.2237 Loss_G: 2.8730 R1: 0.0454 R2: 0.0301 w_avg: [ 0.3396, 0.3562, 0.2842, ..., -0.0918, 0.0365, 0.1036]
INFO:root:[0][1998/2187] Loss_D: 0.2764 Loss_G: 2.4871 R1: 0.0405 R2: 0.0395 w_avg: [ 0.3397, 0.3564, 0.2840, ..., -0.0915, 0.0362, 0.1035]
INFO:root:[0][1999/2187] Loss_D: 0.3042 Loss_G: 2.3904 R1: 0.0454 R2: 0.0446 w_avg: [ 0.3395, 0.3561, 0.2839, ..., -0.0914, 0.0363, 0.1032]
INFO:root:[0][2000/2187] Loss_D: 0.3176 Loss_G: 2.5139 R1: 0.0433 R2: 0.0347 w_avg: [ 0.3392, 0.3562, 0.2839, ..., -0.0914, 0.0363, 0.1034]
INFO:root:[0][2001/2187] Loss_D: 0.3523 Loss_G: 2.7214 R1: 0.0397 R2: 0.0372 w_avg: [ 0.3396, 0.3561, 0.2838, ..., -0.0914, 0.0366, 0.1032]
INFO:root:[0][2002/2187] Loss_D: 0.3264 Loss_G: 2.6956 R1: 0.0424 R2: 0.0293 w_avg: [ 0.3392, 0.3560, 0.2835, ..., -0.0915, 0.0364, 0.1033]
INFO:root:[0][2003/2187] Loss_D: 0.2600 Loss_G: 3.4363 R1: 0.0451 R2: 0.0404 w_avg: [ 0.3390, 0.3560, 0.2831, ..., -0.0909, 0.0363, 0.1034]
INFO:root:[0][2004/2187] Loss_D: 0.2136 Loss_G: 2.3740 R1: 0.0436 R2: 0.0314 w_avg: [ 0.3390, 0.3558, 0.2832, ..., -0.0911, 0.0364, 0.1034]
INFO:root:[0][2005/2187] Loss_D: 0.3051 Loss_G: 2.5402 R1: 0.0378 R2: 0.0297 w_avg: [ 0.3388, 0.3555, 0.2831, ..., -0.0913, 0.0366, 0.1029]
INFO:root:[0][2006/2187] Loss_D: 0.3348 Loss_G: 2.0363 R1: 0.0440 R2: 0.0471 w_avg: [ 0.3387, 0.3554, 0.2834, ..., -0.0913, 0.0368, 0.1030]
INFO:root:[0][2007/2187] Loss_D: 0.2939 Loss_G: 2.5747 R1: 0.0444 R2: 0.0393 w_avg: [ 0.3385, 0.3549, 0.2833, ..., -0.0914, 0.0368, 0.1028]
INFO:root:[0][2008/2187] Loss_D: 0.3143 Loss_G: 2.5023 R1: 0.0524 R2: 0.0428 w_avg: [ 0.3387, 0.3551, 0.2835, ..., -0.0915, 0.0370, 0.1025]
INFO:root:[0][2009/2187] Loss_D: 0.2518 Loss_G: 2.5240 R1: 0.0446 R2: 0.0416 w_avg: [ 0.3382, 0.3546, 0.2835, ..., -0.0916, 0.0370, 0.1023]
INFO:root:[0][2010/2187] Loss_D: 0.4308 Loss_G: 2.6958 R1: 0.0461 R2: 0.0474 w_avg: [ 0.3378, 0.3540, 0.2831, ..., -0.0917, 0.0370, 0.1025]
INFO:root:[0][2011/2187] Loss_D: 0.4539 Loss_G: 3.0465 R1: 0.0472 R2: 0.0349 w_avg: [ 0.3380, 0.3541, 0.2836, ..., -0.0916, 0.0371, 0.1022]
INFO:root:[0][2012/2187] Loss_D: 0.2969 Loss_G: 3.0163 R1: 0.0405 R2: 0.0445 w_avg: [ 0.3376, 0.3535, 0.2832, ..., -0.0918, 0.0370, 0.1018]
INFO:root:[0][2013/2187] Loss_D: 0.4541 Loss_G: 2.4001 R1: 0.0428 R2: 0.0426 w_avg: [ 0.3375, 0.3536, 0.2830, ..., -0.0917, 0.0372, 0.1014]
INFO:root:[0][2014/2187] Loss_D: 0.2245 Loss_G: 2.2768 R1: 0.0413 R2: 0.0364 w_avg: [ 0.3373, 0.3534, 0.2827, ..., -0.0917, 0.0373, 0.1012]
INFO:root:[0][2015/2187] Loss_D: 0.2497 Loss_G: 2.6790 R1: 0.0382 R2: 0.0347 w_avg: [ 0.3378, 0.3533, 0.2826, ..., -0.0917, 0.0375, 0.1010]
INFO:root:[0][2016/2187] Loss_D: 0.3669 Loss_G: 2.7754 R1: 0.0463 R2: 0.0370 w_avg: [ 0.3374, 0.3535, 0.2822, ..., -0.0914, 0.0374, 0.1010]
INFO:root:[0][2017/2187] Loss_D: 0.2867 Loss_G: 2.4240 R1: 0.0442 R2: 0.0330 w_avg: [ 0.3376, 0.3536, 0.2830, ..., -0.0916, 0.0378, 0.1007]
INFO:root:[0][2018/2187] Loss_D: 0.2600 Loss_G: 2.6791 R1: 0.0472 R2: 0.0386 w_avg: [ 0.3374, 0.3537, 0.2831, ..., -0.0918, 0.0374, 0.1004]
INFO:root:[0][2019/2187] Loss_D: 0.2048 Loss_G: 2.3783 R1: 0.0388 R2: 0.0292 w_avg: [ 0.3373, 0.3533, 0.2834, ..., -0.0918, 0.0373, 0.1003]
INFO:root:[0][2020/2187] Loss_D: 0.2977 Loss_G: 3.0883 R1: 0.0417 R2: 0.0261 w_avg: [ 0.3369, 0.3530, 0.2837, ..., -0.0918, 0.0373, 0.1003]
INFO:root:[0][2021/2187] Loss_D: 0.3534 Loss_G: 2.1824 R1: 0.0387 R2: 0.0372 w_avg: [ 0.3370, 0.3525, 0.2835, ..., -0.0919, 0.0371, 0.1003]
INFO:root:[0][2022/2187] Loss_D: 0.2708 Loss_G: 2.7486 R1: 0.0404 R2: 0.0159 w_avg: [ 0.3370, 0.3523, 0.2832, ..., -0.0918, 0.0374, 0.1003]
INFO:root:[0][2023/2187] Loss_D: 0.2478 Loss_G: 3.3777 R1: 0.0419 R2: 0.0392 w_avg: [ 0.3366, 0.3523, 0.2828, ..., -0.0920, 0.0372, 0.1003]
INFO:root:[0][2024/2187] Loss_D: 0.3331 Loss_G: 2.6505 R1: 0.0465 R2: 0.0392 w_avg: [ 0.3367, 0.3526, 0.2826, ..., -0.0921, 0.0373, 0.1002]
INFO:root:[0][2025/2187] Loss_D: 0.1773 Loss_G: 2.4709 R1: 0.0448 R2: 0.0379 w_avg: [ 0.3367, 0.3529, 0.2829, ..., -0.0922, 0.0375, 0.0999]
INFO:root:[0][2026/2187] Loss_D: 0.3413 Loss_G: 3.0191 R1: 0.0446 R2: 0.0482 w_avg: [ 0.3370, 0.3527, 0.2828, ..., -0.0923, 0.0381, 0.0995]
INFO:root:[0][2027/2187] Loss_D: 0.3073 Loss_G: 3.1593 R1: 0.0432 R2: 0.0299 w_avg: [ 0.3368, 0.3524, 0.2823, ..., -0.0922, 0.0381, 0.0993]
INFO:root:[0][2028/2187] Loss_D: 0.4788 Loss_G: 2.2670 R1: 0.0399 R2: 0.0378 w_avg: [ 0.3363, 0.3521, 0.2821, ..., -0.0923, 0.0382, 0.0991]
INFO:root:[0][2029/2187] Loss_D: 0.2783 Loss_G: 2.1803 R1: 0.0401 R2: 0.0294 w_avg: [ 0.3362, 0.3518, 0.2820, ..., -0.0925, 0.0380, 0.0991]
INFO:root:[0][2030/2187] Loss_D: 0.3679 Loss_G: 2.0922 R1: 0.0401 R2: 0.0393 w_avg: [ 0.3360, 0.3516, 0.2816, ..., -0.0925, 0.0381, 0.0989]
INFO:root:[0][2031/2187] Loss_D: 0.2812 Loss_G: 2.0797 R1: 0.0406 R2: 0.0289 w_avg: [ 0.3361, 0.3520, 0.2816, ..., -0.0925, 0.0382, 0.0989]
INFO:root:[0][2032/2187] Loss_D: 0.4369 Loss_G: 2.6288 R1: 0.0482 R2: 0.0422 w_avg: [ 0.3358, 0.3521, 0.2813, ..., -0.0925, 0.0388, 0.0989]
INFO:root:[0][2033/2187] Loss_D: 0.2186 Loss_G: 2.7474 R1: 0.0426 R2: 0.0277 w_avg: [ 0.3353, 0.3520, 0.2815, ..., -0.0925, 0.0387, 0.0986]
INFO:root:[0][2034/2187] Loss_D: 0.3006 Loss_G: 2.2552 R1: 0.0415 R2: 0.0279 w_avg: [ 0.3349, 0.3520, 0.2811, ..., -0.0927, 0.0385, 0.0985]
INFO:root:[0][2035/2187] Loss_D: 0.1917 Loss_G: 2.3879 R1: 0.0427 R2: 0.0253 w_avg: [ 0.3347, 0.3514, 0.2813, ..., -0.0927, 0.0389, 0.0981]
INFO:root:[0][2036/2187] Loss_D: 0.1586 Loss_G: 2.5134 R1: 0.0421 R2: 0.0229 w_avg: [ 0.3351, 0.3514, 0.2811, ..., -0.0928, 0.0387, 0.0982]
INFO:root:[0][2037/2187] Loss_D: 0.2271 Loss_G: 2.5462 R1: 0.0414 R2: 0.0316 w_avg: [ 0.3346, 0.3513, 0.2810, ..., -0.0929, 0.0387, 0.0982]
INFO:root:[0][2038/2187] Loss_D: 0.2412 Loss_G: 2.7297 R1: 0.0420 R2: 0.0309 w_avg: [ 0.3346, 0.3509, 0.2806, ..., -0.0930, 0.0388, 0.0980]
INFO:root:[0][2039/2187] Loss_D: 0.4332 Loss_G: 2.4300 R1: 0.0409 R2: 0.0397 w_avg: [ 0.3344, 0.3509, 0.2804, ..., -0.0931, 0.0389, 0.0981]
INFO:root:[0][2040/2187] Loss_D: 0.3514 Loss_G: 2.0738 R1: 0.0373 R2: 0.0241 w_avg: [ 0.3342, 0.3514, 0.2804, ..., -0.0933, 0.0389, 0.0979]
INFO:root:[0][2041/2187] Loss_D: 0.2864 Loss_G: 2.7298 R1: 0.0347 R2: 0.0238 w_avg: [ 0.3337, 0.3514, 0.2807, ..., -0.0935, 0.0388, 0.0976]
INFO:root:[0][2042/2187] Loss_D: 0.2541 Loss_G: 2.7861 R1: 0.0386 R2: 0.0280 w_avg: [ 0.3336, 0.3512, 0.2806, ..., -0.0937, 0.0390, 0.0977]
INFO:root:[0][2043/2187] Loss_D: 0.2272 Loss_G: 3.2327 R1: 0.0409 R2: 0.0260 w_avg: [ 0.3334, 0.3514, 0.2806, ..., -0.0936, 0.0388, 0.0976]
INFO:root:[0][2044/2187] Loss_D: 0.3384 Loss_G: 2.2126 R1: 0.0378 R2: 0.0342 w_avg: [ 0.3337, 0.3512, 0.2803, ..., -0.0936, 0.0390, 0.0974]
INFO:root:[0][2045/2187] Loss_D: 0.2395 Loss_G: 2.9039 R1: 0.0452 R2: 0.0271 w_avg: [ 0.3335, 0.3507, 0.2800, ..., -0.0937, 0.0389, 0.0973]
INFO:root:[0][2046/2187] Loss_D: 0.3247 Loss_G: 2.9728 R1: 0.0475 R2: 0.0239 w_avg: [ 0.3331, 0.3502, 0.2804, ..., -0.0939, 0.0393, 0.0970]
INFO:root:[0][2047/2187] Loss_D: 0.2946 Loss_G: 2.8398 R1: 0.0510 R2: 0.0414 w_avg: [ 0.3326, 0.3502, 0.2803, ..., -0.0939, 0.0391, 0.0969]
INFO:root:[0][2048/2187] Loss_D: 0.3898 Loss_G: 2.4542 R1: 0.0501 R2: 0.0360 w_avg: [ 0.3329, 0.3502, 0.2799, ..., -0.0940, 0.0389, 0.0972]
INFO:root:[0][2049/2187] Loss_D: 0.2312 Loss_G: 2.2183 R1: 0.0460 R2: 0.0439 w_avg: [ 0.3326, 0.3505, 0.2800, ..., -0.0939, 0.0388, 0.0972]
INFO:root:[0][2050/2187] Loss_D: 0.3850 Loss_G: 2.8554 R1: 0.0444 R2: 0.0408 w_avg: [ 0.3326, 0.3504, 0.2801, ..., -0.0939, 0.0392, 0.0971]
INFO:root:[0][2051/2187] Loss_D: 0.1480 Loss_G: 3.5728 R1: 0.0448 R2: 0.0326 w_avg: [ 0.3322, 0.3505, 0.2798, ..., -0.0941, 0.0393, 0.0968]
INFO:root:[0][2052/2187] Loss_D: 0.2952 Loss_G: 3.7743 R1: 0.0465 R2: 0.0376 w_avg: [ 0.3319, 0.3508, 0.2797, ..., -0.0940, 0.0392, 0.0967]
INFO:root:[0][2053/2187] Loss_D: 0.1812 Loss_G: 3.0931 R1: 0.0435 R2: 0.0338 w_avg: [ 0.3316, 0.3506, 0.2792, ..., -0.0941, 0.0391, 0.0965]
INFO:root:[0][2054/2187] Loss_D: 0.2144 Loss_G: 3.0604 R1: 0.0409 R2: 0.0354 w_avg: [ 0.3313, 0.3504, 0.2794, ..., -0.0941, 0.0393, 0.0967]
INFO:root:[0][2055/2187] Loss_D: 0.2658 Loss_G: 2.8089 R1: 0.0363 R2: 0.0322 w_avg: [ 0.3308, 0.3504, 0.2793, ..., -0.0941, 0.0391, 0.0967]
INFO:root:[0][2056/2187] Loss_D: 0.1847 Loss_G: 3.2348 R1: 0.0347 R2: 0.0262 w_avg: [ 0.3309, 0.3504, 0.2791, ..., -0.0942, 0.0390, 0.0964]
INFO:root:[0][2057/2187] Loss_D: 0.2900 Loss_G: 2.9514 R1: 0.0365 R2: 0.0281 w_avg: [ 0.3309, 0.3499, 0.2787, ..., -0.0942, 0.0389, 0.0963]
INFO:root:[0][2058/2187] Loss_D: 0.2907 Loss_G: 2.1035 R1: 0.0437 R2: 0.0443 w_avg: [ 0.3307, 0.3499, 0.2782, ..., -0.0941, 0.0386, 0.0961]
INFO:root:[0][2059/2187] Loss_D: 0.2345 Loss_G: 2.8347 R1: 0.0474 R2: 0.0334 w_avg: [ 0.3303, 0.3495, 0.2785, ..., -0.0941, 0.0387, 0.0961]
INFO:root:[0][2060/2187] Loss_D: 0.5483 Loss_G: 2.8297 R1: 0.0441 R2: 0.0367 w_avg: [ 0.3301, 0.3491, 0.2788, ..., -0.0942, 0.0388, 0.0960]
INFO:root:[0][2061/2187] Loss_D: 0.3700 Loss_G: 2.1445 R1: 0.0344 R2: 0.0344 w_avg: [ 0.3298, 0.3491, 0.2782, ..., -0.0941, 0.0390, 0.0964]
INFO:root:[0][2062/2187] Loss_D: 0.2597 Loss_G: 2.2048 R1: 0.0344 R2: 0.0168 w_avg: [ 0.3296, 0.3495, 0.2779, ..., -0.0941, 0.0390, 0.0963]
INFO:root:[0][2063/2187] Loss_D: 0.1775 Loss_G: 2.1320 R1: 0.0414 R2: 0.0288 w_avg: [ 0.3297, 0.3497, 0.2781, ..., -0.0941, 0.0392, 0.0961]
INFO:root:[0][2064/2187] Loss_D: 0.2095 Loss_G: 3.0226 R1: 0.0391 R2: 0.0307 w_avg: [ 0.3291, 0.3502, 0.2779, ..., -0.0943, 0.0390, 0.0962]
INFO:root:[0][2065/2187] Loss_D: 0.3352 Loss_G: 3.0080 R1: 0.0432 R2: 0.0358 w_avg: [ 0.3288, 0.3501, 0.2776, ..., -0.0943, 0.0391, 0.0963]
INFO:root:[0][2066/2187] Loss_D: 0.3923 Loss_G: 2.1075 R1: 0.0349 R2: 0.0327 w_avg: [ 0.3289, 0.3496, 0.2775, ..., -0.0945, 0.0393, 0.0962]
INFO:root:[0][2067/2187] Loss_D: 0.2986 Loss_G: 2.7356 R1: 0.0348 R2: 0.0334 w_avg: [ 0.3287, 0.3493, 0.2777, ..., -0.0944, 0.0393, 0.0968]
INFO:root:[0][2068/2187] Loss_D: 0.2939 Loss_G: 2.4641 R1: 0.0368 R2: 0.0215 w_avg: [ 0.3285, 0.3495, 0.2777, ..., -0.0946, 0.0399, 0.0969]
INFO:root:[0][2069/2187] Loss_D: 0.3363 Loss_G: 3.0351 R1: 0.0425 R2: 0.0434 w_avg: [ 0.3288, 0.3495, 0.2779, ..., -0.0947, 0.0399, 0.0970]
INFO:root:[0][2070/2187] Loss_D: 0.3737 Loss_G: 2.6168 R1: 0.0404 R2: 0.0314 w_avg: [ 0.3285, 0.3493, 0.2777, ..., -0.0946, 0.0397, 0.0972]
INFO:root:[0][2071/2187] Loss_D: 0.4023 Loss_G: 2.5723 R1: 0.0399 R2: 0.0287 w_avg: [ 0.3284, 0.3490, 0.2775, ..., -0.0946, 0.0395, 0.0970]
INFO:root:[0][2072/2187] Loss_D: 0.2396 Loss_G: 2.4055 R1: 0.0387 R2: 0.0216 w_avg: [ 0.3285, 0.3492, 0.2775, ..., -0.0948, 0.0394, 0.0970]
INFO:root:[0][2073/2187] Loss_D: 0.4141 Loss_G: 2.8743 R1: 0.0380 R2: 0.0331 w_avg: [ 0.3284, 0.3493, 0.2779, ..., -0.0947, 0.0393, 0.0973]
INFO:root:[0][2074/2187] Loss_D: 0.1690 Loss_G: 2.5060 R1: 0.0400 R2: 0.0309 w_avg: [ 0.3282, 0.3499, 0.2779, ..., -0.0948, 0.0396, 0.0972]
INFO:root:[0][2075/2187] Loss_D: 0.3027 Loss_G: 3.1119 R1: 0.0438 R2: 0.0324 w_avg: [ 0.3281, 0.3498, 0.2781, ..., -0.0949, 0.0394, 0.0974]
INFO:root:[0][2076/2187] Loss_D: 0.2193 Loss_G: 2.0639 R1: 0.0459 R2: 0.0327 w_avg: [ 0.3276, 0.3497, 0.2777, ..., -0.0949, 0.0392, 0.0976]
INFO:root:[0][2077/2187] Loss_D: 0.5023 Loss_G: 1.9436 R1: 0.0434 R2: 0.0377 w_avg: [ 0.3270, 0.3496, 0.2772, ..., -0.0952, 0.0390, 0.0975]
INFO:root:[0][2078/2187] Loss_D: 0.5223 Loss_G: 2.3498 R1: 0.0342 R2: 0.0345 w_avg: [ 0.3271, 0.3503, 0.2771, ..., -0.0952, 0.0388, 0.0975]
INFO:root:[0][2079/2187] Loss_D: 0.4172 Loss_G: 1.8084 R1: 0.0376 R2: 0.0220 w_avg: [ 0.3268, 0.3504, 0.2771, ..., -0.0951, 0.0386, 0.0974]
INFO:root:[0][2080/2187] Loss_D: 0.3049 Loss_G: 2.8351 R1: 0.0434 R2: 0.0296 w_avg: [ 0.3262, 0.3504, 0.2768, ..., -0.0950, 0.0385, 0.0970]
INFO:root:[0][2081/2187] Loss_D: 0.1745 Loss_G: 2.0052 R1: 0.0398 R2: 0.0289 w_avg: [ 0.3261, 0.3507, 0.2767, ..., -0.0952, 0.0389, 0.0972]
INFO:root:[0][2082/2187] Loss_D: 0.3943 Loss_G: 2.5960 R1: 0.0434 R2: 0.0406 w_avg: [ 0.3261, 0.3505, 0.2769, ..., -0.0945, 0.0387, 0.0971]
INFO:root:[0][2083/2187] Loss_D: 0.3049 Loss_G: 3.1642 R1: 0.0472 R2: 0.0450 w_avg: [ 0.3259, 0.3507, 0.2764, ..., -0.0944, 0.0388, 0.0971]
INFO:root:[0][2084/2187] Loss_D: 0.3767 Loss_G: 2.2615 R1: 0.0454 R2: 0.0423 w_avg: [ 0.3261, 0.3504, 0.2761, ..., -0.0946, 0.0390, 0.0966]
INFO:root:[0][2085/2187] Loss_D: 0.3971 Loss_G: 2.4835 R1: 0.0429 R2: 0.0476 w_avg: [ 0.3256, 0.3504, 0.2759, ..., -0.0947, 0.0390, 0.0966]
INFO:root:[0][2086/2187] Loss_D: 0.5898 Loss_G: 2.4795 R1: 0.0466 R2: 0.0402 w_avg: [ 0.3256, 0.3507, 0.2756, ..., -0.0946, 0.0392, 0.0963]
INFO:root:[0][2087/2187] Loss_D: 0.3181 Loss_G: 2.5634 R1: 0.0414 R2: 0.0378 w_avg: [ 0.3252, 0.3506, 0.2757, ..., -0.0947, 0.0393, 0.0961]
INFO:root:[0][2088/2187] Loss_D: 0.4620 Loss_G: 2.0687 R1: 0.0446 R2: 0.0440 w_avg: [ 0.3250, 0.3505, 0.2755, ..., -0.0946, 0.0394, 0.0958]
INFO:root:[0][2089/2187] Loss_D: 0.3099 Loss_G: 2.0419 R1: 0.0348 R2: 0.0369 w_avg: [ 0.3245, 0.3507, 0.2753, ..., -0.0948, 0.0397, 0.0957]
INFO:root:[0][2090/2187] Loss_D: 0.3347 Loss_G: 2.2705 R1: 0.0375 R2: 0.0291 w_avg: [ 0.3242, 0.3511, 0.2757, ..., -0.0946, 0.0393, 0.0955]
INFO:root:[0][2091/2187] Loss_D: 0.4213 Loss_G: 2.4202 R1: 0.0357 R2: 0.0305 w_avg: [ 0.3238, 0.3508, 0.2754, ..., -0.0948, 0.0395, 0.0951]
INFO:root:[0][2092/2187] Loss_D: 0.3924 Loss_G: 2.1750 R1: 0.0405 R2: 0.0335 w_avg: [ 0.3234, 0.3514, 0.2756, ..., -0.0946, 0.0394, 0.0952]
INFO:root:[0][2093/2187] Loss_D: 0.2991 Loss_G: 2.2766 R1: 0.0431 R2: 0.0333 w_avg: [ 0.3234, 0.3511, 0.2754, ..., -0.0949, 0.0395, 0.0950]
INFO:root:[0][2094/2187] Loss_D: 0.2840 Loss_G: 1.8489 R1: 0.0431 R2: 0.0328 w_avg: [ 0.3228, 0.3505, 0.2749, ..., -0.0950, 0.0394, 0.0951]
INFO:root:[0][2095/2187] Loss_D: 0.4683 Loss_G: 2.2466 R1: 0.0426 R2: 0.0341 w_avg: [ 0.3227, 0.3509, 0.2753, ..., -0.0951, 0.0395, 0.0948]
INFO:root:[0][2096/2187] Loss_D: 0.3455 Loss_G: 2.8881 R1: 0.0372 R2: 0.0290 w_avg: [ 0.3227, 0.3518, 0.2753, ..., -0.0950, 0.0396, 0.0945]
INFO:root:[0][2097/2187] Loss_D: 0.4501 Loss_G: 2.7649 R1: 0.0412 R2: 0.0437 w_avg: [ 0.3225, 0.3517, 0.2753, ..., -0.0952, 0.0400, 0.0944]
INFO:root:[0][2098/2187] Loss_D: 0.2612 Loss_G: 2.2936 R1: 0.0380 R2: 0.0285 w_avg: [ 0.3220, 0.3515, 0.2753, ..., -0.0952, 0.0398, 0.0943]
INFO:root:[0][2099/2187] Loss_D: 0.3388 Loss_G: 2.0598 R1: 0.0374 R2: 0.0358 w_avg: [ 0.3214, 0.3515, 0.2753, ..., -0.0951, 0.0397, 0.0941]
INFO:root:[0][2100/2187] Loss_D: 0.3073 Loss_G: 2.5675 R1: 0.0376 R2: 0.0277 w_avg: [ 0.3207, 0.3516, 0.2750, ..., -0.0952, 0.0393, 0.0942]
INFO:root:[0][2101/2187] Loss_D: 0.3454 Loss_G: 2.2956 R1: 0.0401 R2: 0.0279 w_avg: [ 0.3203, 0.3514, 0.2748, ..., -0.0952, 0.0394, 0.0942]
INFO:root:[0][2102/2187] Loss_D: 0.2871 Loss_G: 2.2565 R1: 0.0385 R2: 0.0331 w_avg: [ 0.3201, 0.3514, 0.2755, ..., -0.0952, 0.0397, 0.0940]
INFO:root:[0][2103/2187] Loss_D: 0.4017 Loss_G: 2.5044 R1: 0.0385 R2: 0.0382 w_avg: [ 0.3196, 0.3514, 0.2753, ..., -0.0952, 0.0397, 0.0937]
INFO:root:[0][2104/2187] Loss_D: 0.2913 Loss_G: 2.5632 R1: 0.0401 R2: 0.0308 w_avg: [ 0.3198, 0.3514, 0.2752, ..., -0.0954, 0.0395, 0.0933]
INFO:root:[0][2105/2187] Loss_D: 0.1856 Loss_G: 1.6244 R1: 0.0439 R2: 0.0367 w_avg: [ 0.3197, 0.3517, 0.2749, ..., -0.0953, 0.0393, 0.0933]
INFO:root:[0][2106/2187] Loss_D: 0.3748 Loss_G: 2.6724 R1: 0.0359 R2: 0.0352 w_avg: [ 0.3194, 0.3515, 0.2756, ..., -0.0953, 0.0393, 0.0932]
INFO:root:[0][2107/2187] Loss_D: 0.3160 Loss_G: 2.1657 R1: 0.0456 R2: 0.0447 w_avg: [ 0.3196, 0.3520, 0.2756, ..., -0.0953, 0.0393, 0.0933]
INFO:root:[0][2108/2187] Loss_D: 0.5874 Loss_G: 1.9955 R1: 0.0460 R2: 0.0407 w_avg: [ 0.3193, 0.3519, 0.2754, ..., -0.0954, 0.0391, 0.0931]
INFO:root:[0][2109/2187] Loss_D: 0.2713 Loss_G: 2.6879 R1: 0.0429 R2: 0.0241 w_avg: [ 0.3192, 0.3519, 0.2752, ..., -0.0954, 0.0395, 0.0927]
INFO:root:[0][2110/2187] Loss_D: 0.5059 Loss_G: 2.5983 R1: 0.0444 R2: 0.0430 w_avg: [ 0.3195, 0.3517, 0.2754, ..., -0.0956, 0.0395, 0.0929]
INFO:root:[0][2111/2187] Loss_D: 0.3053 Loss_G: 2.5944 R1: 0.0359 R2: 0.0319 w_avg: [ 0.3189, 0.3512, 0.2754, ..., -0.0958, 0.0393, 0.0932]
INFO:root:[0][2112/2187] Loss_D: 0.3425 Loss_G: 2.3942 R1: 0.0361 R2: 0.0359 w_avg: [ 0.3188, 0.3513, 0.2752, ..., -0.0959, 0.0393, 0.0933]
INFO:root:[0][2113/2187] Loss_D: 0.3589 Loss_G: 1.9255 R1: 0.0391 R2: 0.0306 w_avg: [ 0.3188, 0.3512, 0.2749, ..., -0.0958, 0.0395, 0.0933]
INFO:root:[0][2114/2187] Loss_D: 0.3688 Loss_G: 1.5219 R1: 0.0369 R2: 0.0350 w_avg: [ 0.3194, 0.3514, 0.2753, ..., -0.0956, 0.0397, 0.0932]
INFO:root:[0][2115/2187] Loss_D: 0.5447 Loss_G: 2.8263 R1: 0.0311 R2: 0.0255 w_avg: [ 0.3190, 0.3510, 0.2749, ..., -0.0958, 0.0398, 0.0926]
INFO:root:[0][2116/2187] Loss_D: 0.4657 Loss_G: 2.1295 R1: 0.0335 R2: 0.0289 w_avg: [ 0.3191, 0.3507, 0.2746, ..., -0.0960, 0.0402, 0.0927]
INFO:root:[0][2117/2187] Loss_D: 0.3702 Loss_G: 1.9086 R1: 0.0401 R2: 0.0355 w_avg: [ 0.3187, 0.3508, 0.2749, ..., -0.0960, 0.0399, 0.0927]
INFO:root:[0][2118/2187] Loss_D: 0.3905 Loss_G: 2.1101 R1: 0.0368 R2: 0.0364 w_avg: [ 0.3188, 0.3505, 0.2745, ..., -0.0961, 0.0399, 0.0927]
INFO:root:[0][2119/2187] Loss_D: 0.4075 Loss_G: 2.1636 R1: 0.0364 R2: 0.0283 w_avg: [ 0.3185, 0.3502, 0.2755, ..., -0.0963, 0.0399, 0.0927]
INFO:root:[0][2120/2187] Loss_D: 0.4838 Loss_G: 2.0051 R1: 0.0329 R2: 0.0300 w_avg: [ 0.3183, 0.3502, 0.2754, ..., -0.0962, 0.0396, 0.0924]
INFO:root:[0][2121/2187] Loss_D: 0.4471 Loss_G: 2.5150 R1: 0.0260 R2: 0.0257 w_avg: [ 0.3186, 0.3496, 0.2757, ..., -0.0962, 0.0400, 0.0923]
INFO:root:[0][2122/2187] Loss_D: 0.3246 Loss_G: 2.1696 R1: 0.0365 R2: 0.0340 w_avg: [ 0.3187, 0.3492, 0.2762, ..., -0.0961, 0.0399, 0.0919]
INFO:root:[0][2123/2187] Loss_D: 0.2593 Loss_G: 1.9950 R1: 0.0395 R2: 0.0409 w_avg: [ 0.3184, 0.3491, 0.2764, ..., -0.0959, 0.0398, 0.0919]
INFO:root:[0][2124/2187] Loss_D: 0.2832 Loss_G: 2.4064 R1: 0.0359 R2: 0.0423 w_avg: [ 0.3183, 0.3491, 0.2764, ..., -0.0959, 0.0399, 0.0917]
INFO:root:[0][2125/2187] Loss_D: 0.2935 Loss_G: 2.2664 R1: 0.0443 R2: 0.0318 w_avg: [ 0.3182, 0.3496, 0.2765, ..., -0.0957, 0.0396, 0.0916]
INFO:root:[0][2126/2187] Loss_D: 0.3648 Loss_G: 2.3560 R1: 0.0397 R2: 0.0343 w_avg: [ 0.3183, 0.3497, 0.2765, ..., -0.0956, 0.0396, 0.0918]
INFO:root:[0][2127/2187] Loss_D: 0.2930 Loss_G: 2.6040 R1: 0.0385 R2: 0.0340 w_avg: [ 0.3179, 0.3495, 0.2769, ..., -0.0958, 0.0395, 0.0915]
INFO:root:[0][2128/2187] Loss_D: 0.3982 Loss_G: 2.4804 R1: 0.0425 R2: 0.0308 w_avg: [ 0.3176, 0.3493, 0.2771, ..., -0.0959, 0.0395, 0.0910]
INFO:root:[0][2129/2187] Loss_D: 0.3034 Loss_G: 2.1443 R1: 0.0405 R2: 0.0336 w_avg: [ 0.3176, 0.3497, 0.2774, ..., -0.0959, 0.0398, 0.0910]
INFO:root:[0][2130/2187] Loss_D: 0.3703 Loss_G: 2.4664 R1: 0.0405 R2: 0.0317 w_avg: [ 0.3179, 0.3496, 0.2781, ..., -0.0961, 0.0398, 0.0910]
INFO:root:[0][2131/2187] Loss_D: 0.4256 Loss_G: 2.4634 R1: 0.0440 R2: 0.0377 w_avg: [ 0.3175, 0.3496, 0.2779, ..., -0.0961, 0.0395, 0.0911]
INFO:root:[0][2132/2187] Loss_D: 0.2907 Loss_G: 2.7097 R1: 0.0407 R2: 0.0437 w_avg: [ 0.3172, 0.3490, 0.2773, ..., -0.0961, 0.0393, 0.0911]
INFO:root:[0][2133/2187] Loss_D: 0.2269 Loss_G: 1.9832 R1: 0.0415 R2: 0.0359 w_avg: [ 0.3167, 0.3484, 0.2771, ..., -0.0962, 0.0395, 0.0912]
INFO:root:[0][2134/2187] Loss_D: 0.3226 Loss_G: 2.8108 R1: 0.0470 R2: 0.0427 w_avg: [ 0.3168, 0.3482, 0.2771, ..., -0.0964, 0.0395, 0.0915]
INFO:root:[0][2135/2187] Loss_D: 0.2502 Loss_G: 2.7309 R1: 0.0419 R2: 0.0363 w_avg: [ 0.3164, 0.3482, 0.2773, ..., -0.0964, 0.0394, 0.0915]
INFO:root:[0][2136/2187] Loss_D: 0.1889 Loss_G: 2.4360 R1: 0.0423 R2: 0.0410 w_avg: [ 0.3162, 0.3478, 0.2771, ..., -0.0966, 0.0396, 0.0913]
INFO:root:[0][2137/2187] Loss_D: 0.3922 Loss_G: 2.7504 R1: 0.0400 R2: 0.0399 w_avg: [ 0.3163, 0.3474, 0.2767, ..., -0.0966, 0.0396, 0.0915]
INFO:root:[0][2138/2187] Loss_D: 0.2870 Loss_G: 2.8049 R1: 0.0482 R2: 0.0331 w_avg: [ 0.3162, 0.3468, 0.2762, ..., -0.0966, 0.0396, 0.0914]
INFO:root:[0][2139/2187] Loss_D: 0.3228 Loss_G: 3.0089 R1: 0.0522 R2: 0.0374 w_avg: [ 0.3164, 0.3471, 0.2766, ..., -0.0963, 0.0397, 0.0913]
INFO:root:[0][2140/2187] Loss_D: 0.3359 Loss_G: 3.6535 R1: 0.0473 R2: 0.0443 w_avg: [ 0.3166, 0.3475, 0.2766, ..., -0.0963, 0.0395, 0.0913]
INFO:root:[0][2141/2187] Loss_D: 0.2676 Loss_G: 2.5641 R1: 0.0500 R2: 0.0402 w_avg: [ 0.3167, 0.3471, 0.2767, ..., -0.0964, 0.0396, 0.0909]
INFO:root:[0][2142/2187] Loss_D: 0.3825 Loss_G: 2.3392 R1: 0.0430 R2: 0.0435 w_avg: [ 0.3165, 0.3470, 0.2766, ..., -0.0965, 0.0399, 0.0907]
INFO:root:[0][2143/2187] Loss_D: 0.2512 Loss_G: 2.2902 R1: 0.0441 R2: 0.0318 w_avg: [ 0.3167, 0.3471, 0.2766, ..., -0.0965, 0.0397, 0.0907]
INFO:root:[0][2144/2187] Loss_D: 0.2807 Loss_G: 2.9320 R1: 0.0432 R2: 0.0322 w_avg: [ 0.3166, 0.3469, 0.2763, ..., -0.0966, 0.0398, 0.0904]
INFO:root:[0][2145/2187] Loss_D: 0.4277 Loss_G: 2.9244 R1: 0.0403 R2: 0.0283 w_avg: [ 0.3170, 0.3470, 0.2758, ..., -0.0968, 0.0400, 0.0903]
INFO:root:[0][2146/2187] Loss_D: 0.1719 Loss_G: 2.7150 R1: 0.0392 R2: 0.0268 w_avg: [ 0.3168, 0.3469, 0.2761, ..., -0.0969, 0.0399, 0.0905]
INFO:root:[0][2147/2187] Loss_D: 0.3123 Loss_G: 2.4310 R1: 0.0426 R2: 0.0317 w_avg: [ 0.3166, 0.3467, 0.2757, ..., -0.0969, 0.0398, 0.0905]
INFO:root:[0][2148/2187] Loss_D: 0.4014 Loss_G: 2.0840 R1: 0.0361 R2: 0.0273 w_avg: [ 0.3163, 0.3462, 0.2755, ..., -0.0969, 0.0396, 0.0906]
INFO:root:[0][2149/2187] Loss_D: 0.2233 Loss_G: 2.5102 R1: 0.0438 R2: 0.0232 w_avg: [ 0.3165, 0.3465, 0.2757, ..., -0.0968, 0.0396, 0.0904]
INFO:root:[0][2150/2187] Loss_D: 0.3612 Loss_G: 2.6368 R1: 0.0471 R2: 0.0255 w_avg: [ 0.3160, 0.3459, 0.2753, ..., -0.0969, 0.0398, 0.0906]
INFO:root:[0][2151/2187] Loss_D: 0.3519 Loss_G: 2.7921 R1: 0.0448 R2: 0.0359 w_avg: [ 0.3159, 0.3459, 0.2749, ..., -0.0970, 0.0396, 0.0906]
INFO:root:[0][2152/2187] Loss_D: 0.3653 Loss_G: 2.9709 R1: 0.0421 R2: 0.0316 w_avg: [ 0.3158, 0.3456, 0.2748, ..., -0.0969, 0.0396, 0.0907]
INFO:root:[0][2153/2187] Loss_D: 0.3790 Loss_G: 2.5787 R1: 0.0363 R2: 0.0304 w_avg: [ 0.3160, 0.3455, 0.2749, ..., -0.0971, 0.0398, 0.0908]
INFO:root:[0][2154/2187] Loss_D: 0.3015 Loss_G: 2.7608 R1: 0.0478 R2: 0.0299 w_avg: [ 0.3155, 0.3450, 0.2746, ..., -0.0971, 0.0397, 0.0904]
INFO:root:[0][2155/2187] Loss_D: 0.5330 Loss_G: 1.9718 R1: 0.0482 R2: 0.0370 w_avg: [ 0.3153, 0.3448, 0.2746, ..., -0.0972, 0.0394, 0.0905]
INFO:root:[0][2156/2187] Loss_D: 0.3225 Loss_G: 3.2835 R1: 0.0436 R2: 0.0211 w_avg: [ 0.3150, 0.3445, 0.2744, ..., -0.0974, 0.0394, 0.0904]
INFO:root:[0][2157/2187] Loss_D: 0.3118 Loss_G: 3.1994 R1: 0.0444 R2: 0.0319 w_avg: [ 0.3148, 0.3444, 0.2745, ..., -0.0975, 0.0397, 0.0903]
INFO:root:[0][2158/2187] Loss_D: 0.2085 Loss_G: 1.8856 R1: 0.0425 R2: 0.0280 w_avg: [ 0.3153, 0.3444, 0.2743, ..., -0.0976, 0.0396, 0.0902]
INFO:root:[0][2159/2187] Loss_D: 0.3149 Loss_G: 2.4457 R1: 0.0476 R2: 0.0371 w_avg: [ 0.3155, 0.3444, 0.2744, ..., -0.0978, 0.0396, 0.0905]
INFO:root:[0][2160/2187] Loss_D: 0.3500 Loss_G: 4.1399 R1: 0.0447 R2: 0.0476 w_avg: [ 0.3151, 0.3447, 0.2745, ..., -0.0979, 0.0401, 0.0903]
INFO:root:[0][2161/2187] Loss_D: 0.3041 Loss_G: 2.5295 R1: 0.0495 R2: 0.0335 w_avg: [ 0.3153, 0.3452, 0.2745, ..., -0.0978, 0.0402, 0.0905]
INFO:root:[0][2162/2187] Loss_D: 0.4054 Loss_G: 2.6930 R1: 0.0469 R2: 0.0366 w_avg: [ 0.3151, 0.3450, 0.2745, ..., -0.0980, 0.0404, 0.0906]
INFO:root:[0][2163/2187] Loss_D: 0.2259 Loss_G: 2.4245 R1: 0.0450 R2: 0.0266 w_avg: [ 0.3147, 0.3446, 0.2740, ..., -0.0981, 0.0404, 0.0905]
INFO:root:[0][2164/2187] Loss_D: 0.2073 Loss_G: 2.7294 R1: 0.0389 R2: 0.0235 w_avg: [ 0.3149, 0.3446, 0.2746, ..., -0.0981, 0.0401, 0.0902]
INFO:root:[0][2165/2187] Loss_D: 0.3271 Loss_G: 2.6020 R1: 0.0355 R2: 0.0269 w_avg: [ 0.3146, 0.3442, 0.2741, ..., -0.0982, 0.0401, 0.0903]
INFO:root:[0][2166/2187] Loss_D: 0.2284 Loss_G: 2.1862 R1: 0.0385 R2: 0.0247 w_avg: [ 0.3141, 0.3441, 0.2740, ..., -0.0981, 0.0403, 0.0903]
INFO:root:[0][2167/2187] Loss_D: 0.2899 Loss_G: 2.6789 R1: 0.0442 R2: 0.0317 w_avg: [ 0.3141, 0.3437, 0.2740, ..., -0.0982, 0.0403, 0.0911]
INFO:root:[0][2168/2187] Loss_D: 0.2486 Loss_G: 4.0551 R1: 0.0394 R2: 0.0429 w_avg: [ 0.3133, 0.3435, 0.2738, ..., -0.0982, 0.0401, 0.0908]
INFO:root:[0][2169/2187] Loss_D: 0.1776 Loss_G: 2.0109 R1: 0.0577 R2: 0.0287 w_avg: [ 0.3131, 0.3433, 0.2738, ..., -0.0983, 0.0401, 0.0911]
INFO:root:[0][2170/2187] Loss_D: 0.2924 Loss_G: 2.6999 R1: 0.0446 R2: 0.0282 w_avg: [ 0.3132, 0.3434, 0.2736, ..., -0.0983, 0.0407, 0.0912]
INFO:root:[0][2171/2187] Loss_D: 0.2182 Loss_G: 2.7055 R1: 0.0378 R2: 0.0314 w_avg: [ 0.3134, 0.3431, 0.2737, ..., -0.0985, 0.0406, 0.0910]
INFO:root:[0][2172/2187] Loss_D: 0.1864 Loss_G: 2.9760 R1: 0.0385 R2: 0.0248 w_avg: [ 0.3133, 0.3431, 0.2738, ..., -0.0987, 0.0407, 0.0908]
INFO:root:[0][2173/2187] Loss_D: 0.1857 Loss_G: 3.0551 R1: 0.0425 R2: 0.0252 w_avg: [ 0.3128, 0.3433, 0.2736, ..., -0.0988, 0.0406, 0.0907]
INFO:root:[0][2174/2187] Loss_D: 0.3431 Loss_G: 3.0439 R1: 0.0404 R2: 0.0268 w_avg: [ 0.3125, 0.3430, 0.2736, ..., -0.0989, 0.0405, 0.0906]
INFO:root:[0][2175/2187] Loss_D: 0.3472 Loss_G: 2.9782 R1: 0.0406 R2: 0.0448 w_avg: [ 0.3127, 0.3430, 0.2735, ..., -0.0990, 0.0406, 0.0907]
INFO:root:[0][2176/2187] Loss_D: 0.3567 Loss_G: 2.8710 R1: 0.0428 R2: 0.0407 w_avg: [ 0.3125, 0.3429, 0.2732, ..., -0.0992, 0.0406, 0.0903]
INFO:root:[0][2177/2187] Loss_D: 0.7393 Loss_G: 2.3314 R1: 0.0466 R2: 0.0423 w_avg: [ 0.3119, 0.3423, 0.2728, ..., -0.0994, 0.0407, 0.0901]
INFO:root:[0][2178/2187] Loss_D: 0.5918 Loss_G: 2.3991 R1: 0.0353 R2: 0.0250 w_avg: [ 0.3118, 0.3421, 0.2728, ..., -0.0994, 0.0407, 0.0901]
INFO:root:[0][2179/2187] Loss_D: 0.3191 Loss_G: 1.7388 R1: 0.0328 R2: 0.0234 w_avg: [ 0.3115, 0.3421, 0.2725, ..., -0.0993, 0.0407, 0.0899]
INFO:root:[0][2180/2187] Loss_D: 0.6097 Loss_G: 2.3518 R1: 0.0358 R2: 0.0343 w_avg: [ 0.3118, 0.3417, 0.2726, ..., -0.0993, 0.0407, 0.0896]
INFO:root:[0][2181/2187] Loss_D: 0.2850 Loss_G: 1.9982 R1: 0.0385 R2: 0.0276 w_avg: [ 0.3118, 0.3415, 0.2728, ..., -0.0993, 0.0409, 0.0897]
INFO:root:[0][2182/2187] Loss_D: 0.3094 Loss_G: 2.4920 R1: 0.0377 R2: 0.0307 w_avg: [ 0.3116, 0.3418, 0.2730, ..., -0.0992, 0.0407, 0.0899]
INFO:root:[0][2183/2187] Loss_D: 0.4400 Loss_G: 2.0204 R1: 0.0385 R2: 0.0289 w_avg: [ 0.3113, 0.3418, 0.2727, ..., -0.0992, 0.0406, 0.0896]
INFO:root:[0][2184/2187] Loss_D: 0.2331 Loss_G: 2.5810 R1: 0.0413 R2: 0.0332 w_avg: [ 0.3110, 0.3417, 0.2723, ..., -0.0993, 0.0405, 0.0896]
INFO:root:[0][2185/2187] Loss_D: 0.2387 Loss_G: 2.3335 R1: 0.0466 R2: 0.0354 w_avg: [ 0.3111, 0.3415, 0.2729, ..., -0.0992, 0.0406, 0.0897]
INFO:root:[0][2186/2187] Loss_D: 0.2462 Loss_G: 2.3811 R1: 0.0404 R2: 0.0349 w_avg: [ 0.3113, 0.3417, 0.2727, ..., -0.0991, 0.0405, 0.0898]
INFO:root:[1][0/2187] Loss_D: 0.3077 Loss_G: 1.9836 R1: 0.0445 R2: 0.0411 w_avg: [ 0.3110, 0.3413, 0.2731, ..., -0.0993, 0.0403, 0.0899]
INFO:root:[1][1/2187] Loss_D: 0.4743 Loss_G: 2.3356 R1: 0.0407 R2: 0.0422 w_avg: [ 0.3105, 0.3412, 0.2730, ..., -0.0993, 0.0403, 0.0898]
INFO:root:[1][2/2187] Loss_D: 0.3307 Loss_G: 2.4358 R1: 0.0466 R2: 0.0395 w_avg: [ 0.3110, 0.3410, 0.2726, ..., -0.0992, 0.0404, 0.0899]
INFO:root:[1][3/2187] Loss_D: 0.2684 Loss_G: 1.8283 R1: 0.0446 R2: 0.0380 w_avg: [ 0.3109, 0.3409, 0.2723, ..., -0.0993, 0.0402, 0.0898]
INFO:root:[1][4/2187] Loss_D: 0.2822 Loss_G: 2.4178 R1: 0.0420 R2: 0.0329 w_avg: [ 0.3109, 0.3406, 0.2717, ..., -0.0993, 0.0403, 0.0899]
INFO:root:[1][5/2187] Loss_D: 0.3252 Loss_G: 2.5893 R1: 0.0409 R2: 0.0339 w_avg: [ 0.3107, 0.3402, 0.2716, ..., -0.0992, 0.0400, 0.0900]
INFO:root:[1][6/2187] Loss_D: 0.3014 Loss_G: 2.5162 R1: 0.0371 R2: 0.0284 w_avg: [ 0.3104, 0.3398, 0.2710, ..., -0.0989, 0.0399, 0.0899]
INFO:root:[1][7/2187] Loss_D: 0.3444 Loss_G: 2.0455 R1: 0.0366 R2: 0.0277 w_avg: [ 0.3104, 0.3397, 0.2710, ..., -0.0989, 0.0401, 0.0898]
INFO:root:[1][8/2187] Loss_D: 0.3339 Loss_G: 2.2970 R1: 0.0374 R2: 0.0323 w_avg: [ 0.3111, 0.3396, 0.2709, ..., -0.0991, 0.0402, 0.0901]
INFO:root:[1][9/2187] Loss_D: 0.3135 Loss_G: 2.4225 R1: 0.0415 R2: 0.0333 w_avg: [ 0.3109, 0.3399, 0.2706, ..., -0.0991, 0.0401, 0.0902]
INFO:root:[1][10/2187] Loss_D: 0.2753 Loss_G: 2.6591 R1: 0.0416 R2: 0.0305 w_avg: [ 0.3105, 0.3396, 0.2704, ..., -0.0992, 0.0407, 0.0903]
INFO:root:[1][11/2187] Loss_D: 0.2263 Loss_G: 1.8908 R1: 0.0427 R2: 0.0375 w_avg: [ 0.3110, 0.3392, 0.2710, ..., -0.0991, 0.0408, 0.0902]
INFO:root:[1][12/2187] Loss_D: 0.3822 Loss_G: 2.2868 R1: 0.0431 R2: 0.0436 w_avg: [ 0.3113, 0.3394, 0.2714, ..., -0.0993, 0.0408, 0.0901]
INFO:root:[1][13/2187] Loss_D: 0.2751 Loss_G: 2.2746 R1: 0.0435 R2: 0.0335 w_avg: [ 0.3116, 0.3397, 0.2710, ..., -0.0994, 0.0410, 0.0901]
INFO:root:[1][14/2187] Loss_D: 0.3293 Loss_G: 1.7372 R1: 0.0450 R2: 0.0308 w_avg: [ 0.3115, 0.3394, 0.2709, ..., -0.0996, 0.0408, 0.0899]
INFO:root:[1][15/2187] Loss_D: 0.2962 Loss_G: 2.2265 R1: 0.0431 R2: 0.0294 w_avg: [ 0.3111, 0.3392, 0.2705, ..., -0.0994, 0.0407, 0.0900]
INFO:root:[1][16/2187] Loss_D: 0.3933 Loss_G: 2.3835 R1: 0.0477 R2: 0.0435 w_avg: [ 0.3113, 0.3390, 0.2706, ..., -0.0995, 0.0405, 0.0901]
INFO:root:[1][17/2187] Loss_D: 0.2861 Loss_G: 2.2991 R1: 0.0433 R2: 0.0313 w_avg: [ 0.3111, 0.3396, 0.2708, ..., -0.0996, 0.0409, 0.0899]
INFO:root:[1][18/2187] Loss_D: 0.3129 Loss_G: 2.8242 R1: 0.0461 R2: 0.0291 w_avg: [ 0.3108, 0.3394, 0.2704, ..., -0.0996, 0.0408, 0.0905]
INFO:root:[1][19/2187] Loss_D: 0.2004 Loss_G: 2.8670 R1: 0.0476 R2: 0.0254 w_avg: [ 0.3105, 0.3390, 0.2704, ..., -0.0996, 0.0406, 0.0903]
INFO:root:[1][20/2187] Loss_D: 0.2440 Loss_G: 2.2144 R1: 0.0566 R2: 0.0340 w_avg: [ 0.3103, 0.3393, 0.2699, ..., -0.0995, 0.0403, 0.0902]
INFO:root:[1][21/2187] Loss_D: 0.4079 Loss_G: 2.2329 R1: 0.0512 R2: 0.0453 w_avg: [ 0.3095, 0.3390, 0.2698, ..., -0.0994, 0.0402, 0.0902]
INFO:root:[1][22/2187] Loss_D: 0.3548 Loss_G: 2.2892 R1: 0.0475 R2: 0.0370 w_avg: [ 0.3095, 0.3395, 0.2705, ..., -0.0995, 0.0399, 0.0901]
INFO:root:[1][23/2187] Loss_D: 0.5448 Loss_G: 1.7114 R1: 0.0371 R2: 0.0330 w_avg: [ 0.3089, 0.3395, 0.2708, ..., -0.0996, 0.0398, 0.0898]
INFO:root:[1][24/2187] Loss_D: 0.2962 Loss_G: 2.7081 R1: 0.0420 R2: 0.0280 w_avg: [ 0.3088, 0.3394, 0.2707, ..., -0.0995, 0.0399, 0.0901]
INFO:root:[1][25/2187] Loss_D: 0.3460 Loss_G: 2.0393 R1: 0.0436 R2: 0.0309 w_avg: [ 0.3094, 0.3396, 0.2709, ..., -0.0996, 0.0401, 0.0903]
INFO:root:[1][26/2187] Loss_D: 0.4487 Loss_G: 2.6698 R1: 0.0403 R2: 0.0292 w_avg: [ 0.3094, 0.3399, 0.2707, ..., -0.0996, 0.0397, 0.0905]
INFO:root:[1][27/2187] Loss_D: 0.3944 Loss_G: 2.6160 R1: 0.0469 R2: 0.0420 w_avg: [ 0.3091, 0.3398, 0.2709, ..., -0.0996, 0.0397, 0.0903]
INFO:root:[1][28/2187] Loss_D: 0.3734 Loss_G: 2.6466 R1: 0.0454 R2: 0.0363 w_avg: [ 0.3087, 0.3400, 0.2707, ..., -0.0995, 0.0398, 0.0901]
INFO:root:[1][29/2187] Loss_D: 0.2821 Loss_G: 2.7139 R1: 0.0475 R2: 0.0373 w_avg: [ 0.3089, 0.3401, 0.2719, ..., -0.0996, 0.0397, 0.0901]
INFO:root:[1][30/2187] Loss_D: 0.3178 Loss_G: 2.8406 R1: 0.0503 R2: 0.0349 w_avg: [ 0.3086, 0.3403, 0.2717, ..., -0.0992, 0.0395, 0.0900]
INFO:root:[1][31/2187] Loss_D: 0.3159 Loss_G: 2.0145 R1: 0.0420 R2: 0.0351 w_avg: [ 0.3082, 0.3398, 0.2715, ..., -0.0994, 0.0392, 0.0901]
INFO:root:[1][32/2187] Loss_D: 0.4421 Loss_G: 2.8057 R1: 0.0428 R2: 0.0489 w_avg: [ 0.3084, 0.3399, 0.2714, ..., -0.0994, 0.0393, 0.0900]
INFO:root:[1][33/2187] Loss_D: 0.4383 Loss_G: 1.9157 R1: 0.0480 R2: 0.0529 w_avg: [ 0.3082, 0.3394, 0.2711, ..., -0.0994, 0.0391, 0.0900]
INFO:root:[1][34/2187] Loss_D: 0.2939 Loss_G: 2.0887 R1: 0.0544 R2: 0.0423 w_avg: [ 0.3084, 0.3393, 0.2710, ..., -0.0994, 0.0388, 0.0897]
INFO:root:[1][35/2187] Loss_D: 0.3987 Loss_G: 2.5335 R1: 0.0516 R2: 0.0338 w_avg: [ 0.3082, 0.3386, 0.2707, ..., -0.0996, 0.0388, 0.0895]
INFO:root:[1][36/2187] Loss_D: 0.3260 Loss_G: 2.3431 R1: 0.0375 R2: 0.0328 w_avg: [ 0.3078, 0.3387, 0.2706, ..., -0.0997, 0.0387, 0.0894]
INFO:root:[1][37/2187] Loss_D: 0.2758 Loss_G: 2.9278 R1: 0.0447 R2: 0.0297 w_avg: [ 0.3076, 0.3390, 0.2707, ..., -0.0994, 0.0385, 0.0891]
INFO:root:[1][38/2187] Loss_D: 0.3000 Loss_G: 2.3623 R1: 0.0456 R2: 0.0397 w_avg: [ 0.3077, 0.3395, 0.2709, ..., -0.0995, 0.0385, 0.0892]
INFO:root:[1][39/2187] Loss_D: 0.3183 Loss_G: 2.5822 R1: 0.0427 R2: 0.0380 w_avg: [ 0.3077, 0.3399, 0.2709, ..., -0.0995, 0.0387, 0.0890]
INFO:root:[1][40/2187] Loss_D: 0.2944 Loss_G: 2.6560 R1: 0.0433 R2: 0.0251 w_avg: [ 0.3073, 0.3398, 0.2713, ..., -0.0995, 0.0386, 0.0887]
INFO:root:[1][41/2187] Loss_D: 0.1972 Loss_G: 1.7319 R1: 0.0501 R2: 0.0344 w_avg: [ 0.3073, 0.3397, 0.2708, ..., -0.0996, 0.0386, 0.0890]
INFO:root:[1][42/2187] Loss_D: 0.2911 Loss_G: 2.0248 R1: 0.0482 R2: 0.0438 w_avg: [ 0.3070, 0.3402, 0.2711, ..., -0.0995, 0.0383, 0.0888]
INFO:root:[1][43/2187] Loss_D: 0.3106 Loss_G: 2.3684 R1: 0.0427 R2: 0.0290 w_avg: [ 0.3069, 0.3402, 0.2718, ..., -0.0994, 0.0384, 0.0891]
INFO:root:[1][44/2187] Loss_D: 0.2929 Loss_G: 2.5607 R1: 0.0424 R2: 0.0275 w_avg: [ 0.3069, 0.3402, 0.2718, ..., -0.0996, 0.0387, 0.0889]
INFO:root:[1][45/2187] Loss_D: 0.3571 Loss_G: 2.3981 R1: 0.0425 R2: 0.0263 w_avg: [ 0.3066, 0.3398, 0.2721, ..., -0.0996, 0.0392, 0.0887]
INFO:root:[1][46/2187] Loss_D: 0.2648 Loss_G: 2.5973 R1: 0.0447 R2: 0.0289 w_avg: [ 0.3070, 0.3396, 0.2721, ..., -0.0996, 0.0393, 0.0888]
INFO:root:[1][47/2187] Loss_D: 0.3805 Loss_G: 2.9109 R1: 0.0430 R2: 0.0320 w_avg: [ 0.3069, 0.3396, 0.2719, ..., -0.0996, 0.0396, 0.0886]
INFO:root:[1][48/2187] Loss_D: 0.2720 Loss_G: 2.3775 R1: 0.0487 R2: 0.0387 w_avg: [ 0.3069, 0.3397, 0.2718, ..., -0.0996, 0.0396, 0.0885]
INFO:root:[1][49/2187] Loss_D: 0.4522 Loss_G: 2.6382 R1: 0.0480 R2: 0.0361 w_avg: [ 0.3062, 0.3395, 0.2719, ..., -0.0994, 0.0397, 0.0889]
INFO:root:[1][50/2187] Loss_D: 0.3430 Loss_G: 3.1276 R1: 0.0545 R2: 0.0420 w_avg: [ 0.3064, 0.3395, 0.2717, ..., -0.0995, 0.0394, 0.0891]
INFO:root:[1][51/2187] Loss_D: 0.2938 Loss_G: 2.7694 R1: 0.0413 R2: 0.0459 w_avg: [ 0.3061, 0.3392, 0.2715, ..., -0.0997, 0.0395, 0.0896]
INFO:root:[1][52/2187] Loss_D: 0.2645 Loss_G: 2.6150 R1: 0.0448 R2: 0.0410 w_avg: [ 0.3056, 0.3394, 0.2714, ..., -0.0997, 0.0392, 0.0893]
INFO:root:[1][53/2187] Loss_D: 0.2021 Loss_G: 2.4624 R1: 0.0420 R2: 0.0392 w_avg: [ 0.3052, 0.3390, 0.2712, ..., -0.0997, 0.0391, 0.0893]
INFO:root:[1][54/2187] Loss_D: 0.5067 Loss_G: 2.2598 R1: 0.0492 R2: 0.0449 w_avg: [ 0.3048, 0.3389, 0.2709, ..., -0.0997, 0.0391, 0.0893]
INFO:root:[1][55/2187] Loss_D: 0.2566 Loss_G: 2.6276 R1: 0.0449 R2: 0.0383 w_avg: [ 0.3044, 0.3385, 0.2713, ..., -0.0997, 0.0392, 0.0892]
INFO:root:[1][56/2187] Loss_D: 0.6795 Loss_G: 2.2057 R1: 0.0453 R2: 0.0470 w_avg: [ 0.3042, 0.3384, 0.2711, ..., -0.0999, 0.0391, 0.0890]
INFO:root:[1][57/2187] Loss_D: 0.2200 Loss_G: 1.9493 R1: 0.0408 R2: 0.0220 w_avg: [ 0.3042, 0.3380, 0.2712, ..., -0.0997, 0.0392, 0.0889]
INFO:root:[1][58/2187] Loss_D: 0.7641 Loss_G: 2.5346 R1: 0.0342 R2: 0.0387 w_avg: [ 0.3041, 0.3380, 0.2708, ..., -0.0997, 0.0389, 0.0886]
INFO:root:[1][59/2187] Loss_D: 0.4386 Loss_G: 2.0535 R1: 0.0276 R2: 0.0180 w_avg: [ 0.3038, 0.3382, 0.2709, ..., -0.0999, 0.0387, 0.0885]
INFO:root:[1][60/2187] Loss_D: 0.3973 Loss_G: 2.5948 R1: 0.0343 R2: 0.0314 w_avg: [ 0.3043, 0.3385, 0.2713, ..., -0.1000, 0.0389, 0.0883]
INFO:root:[1][61/2187] Loss_D: 0.3670 Loss_G: 2.9675 R1: 0.0333 R2: 0.0249 w_avg: [ 0.3041, 0.3383, 0.2709, ..., -0.1001, 0.0389, 0.0882]
INFO:root:[1][62/2187] Loss_D: 0.2744 Loss_G: 2.5130 R1: 0.0380 R2: 0.0271 w_avg: [ 0.3039, 0.3385, 0.2708, ..., -0.0999, 0.0389, 0.0884]
INFO:root:[1][63/2187] Loss_D: 0.1991 Loss_G: 2.3935 R1: 0.0351 R2: 0.0338 w_avg: [ 0.3041, 0.3384, 0.2702, ..., -0.0998, 0.0392, 0.0882]
INFO:root:[1][64/2187] Loss_D: 0.6237 Loss_G: 2.3441 R1: 0.0357 R2: 0.0464 w_avg: [ 0.3040, 0.3390, 0.2703, ..., -0.1000, 0.0396, 0.0884]
INFO:root:[1][65/2187] Loss_D: 0.2926 Loss_G: 1.9085 R1: 0.0363 R2: 0.0291 w_avg: [ 0.3037, 0.3387, 0.2705, ..., -0.1001, 0.0397, 0.0883]
INFO:root:[1][66/2187] Loss_D: 0.2972 Loss_G: 2.5006 R1: 0.0362 R2: 0.0265 w_avg: [ 0.3036, 0.3385, 0.2704, ..., -0.1002, 0.0398, 0.0883]
INFO:root:[1][67/2187] Loss_D: 0.3013 Loss_G: 2.2567 R1: 0.0380 R2: 0.0300 w_avg: [ 0.3038, 0.3382, 0.2704, ..., -0.1004, 0.0397, 0.0882]
INFO:root:[1][68/2187] Loss_D: 0.3639 Loss_G: 2.0953 R1: 0.0352 R2: 0.0330 w_avg: [ 0.3036, 0.3383, 0.2700, ..., -0.1003, 0.0396, 0.0880]
INFO:root:[1][69/2187] Loss_D: 0.3832 Loss_G: 2.2805 R1: 0.0365 R2: 0.0333 w_avg: [ 0.3033, 0.3382, 0.2698, ..., -0.1003, 0.0398, 0.0879]
INFO:root:[1][70/2187] Loss_D: 0.2927 Loss_G: 2.4239 R1: 0.0437 R2: 0.0394 w_avg: [ 0.3028, 0.3379, 0.2696, ..., -0.1005, 0.0397, 0.0881]
INFO:root:[1][71/2187] Loss_D: 0.4125 Loss_G: 2.5485 R1: 0.0428 R2: 0.0290 w_avg: [ 0.3025, 0.3382, 0.2697, ..., -0.1007, 0.0396, 0.0880]
INFO:root:[1][72/2187] Loss_D: 0.2978 Loss_G: 2.1906 R1: 0.0418 R2: 0.0340 w_avg: [ 0.3026, 0.3386, 0.2697, ..., -0.1008, 0.0396, 0.0881]
INFO:root:[1][73/2187] Loss_D: 0.2444 Loss_G: 2.9414 R1: 0.0450 R2: 0.0335 w_avg: [ 0.3022, 0.3382, 0.2695, ..., -0.1008, 0.0397, 0.0877]
INFO:root:[1][74/2187] Loss_D: 0.3654 Loss_G: 2.3575 R1: 0.0428 R2: 0.0392 w_avg: [ 0.3020, 0.3380, 0.2690, ..., -0.1008, 0.0400, 0.0875]
INFO:root:[1][75/2187] Loss_D: 0.3662 Loss_G: 2.3022 R1: 0.0413 R2: 0.0298 w_avg: [ 0.3018, 0.3382, 0.2688, ..., -0.1009, 0.0401, 0.0875]
INFO:root:[1][76/2187] Loss_D: 0.2836 Loss_G: 3.2987 R1: 0.0432 R2: 0.0318 w_avg: [ 0.3015, 0.3377, 0.2685, ..., -0.1007, 0.0401, 0.0880]
INFO:root:[1][77/2187] Loss_D: 0.2871 Loss_G: 2.4416 R1: 0.0420 R2: 0.0384 w_avg: [ 0.3010, 0.3376, 0.2686, ..., -0.1004, 0.0402, 0.0879]
INFO:root:[1][78/2187] Loss_D: 0.3444 Loss_G: 2.8898 R1: 0.0453 R2: 0.0301 w_avg: [ 0.3007, 0.3374, 0.2686, ..., -0.1005, 0.0404, 0.0879]
INFO:root:[1][79/2187] Loss_D: 0.4352 Loss_G: 2.0457 R1: 0.0372 R2: 0.0409 w_avg: [ 0.3008, 0.3372, 0.2687, ..., -0.1008, 0.0403, 0.0875]
INFO:root:[1][80/2187] Loss_D: 0.3713 Loss_G: 2.2734 R1: 0.0476 R2: 0.0292 w_avg: [ 0.3003, 0.3368, 0.2687, ..., -0.1008, 0.0402, 0.0873]
INFO:root:[1][81/2187] Loss_D: 0.2780 Loss_G: 2.4251 R1: 0.0424 R2: 0.0255 w_avg: [ 0.3006, 0.3367, 0.2688, ..., -0.1009, 0.0403, 0.0873]
INFO:root:[1][82/2187] Loss_D: 0.3685 Loss_G: 2.8947 R1: 0.0431 R2: 0.0331 w_avg: [ 0.3004, 0.3366, 0.2687, ..., -0.1011, 0.0405, 0.0873]
INFO:root:[1][83/2187] Loss_D: 0.2784 Loss_G: 2.4445 R1: 0.0415 R2: 0.0229 w_avg: [ 0.3004, 0.3363, 0.2688, ..., -0.1012, 0.0406, 0.0876]
INFO:root:[1][84/2187] Loss_D: 0.2590 Loss_G: 2.2191 R1: 0.0427 R2: 0.0304 w_avg: [ 0.2999, 0.3369, 0.2687, ..., -0.1011, 0.0404, 0.0874]
INFO:root:[1][85/2187] Loss_D: 0.3217 Loss_G: 2.5287 R1: 0.0477 R2: 0.0325 w_avg: [ 0.2998, 0.3369, 0.2690, ..., -0.1009, 0.0406, 0.0873]
INFO:root:[1][86/2187] Loss_D: 0.2293 Loss_G: 2.1916 R1: 0.0407 R2: 0.0341 w_avg: [ 0.2997, 0.3367, 0.2689, ..., -0.1011, 0.0408, 0.0873]
INFO:root:[1][87/2187] Loss_D: 0.3480 Loss_G: 1.9964 R1: 0.0467 R2: 0.0331 w_avg: [ 0.2992, 0.3369, 0.2689, ..., -0.1011, 0.0408, 0.0870]
INFO:root:[1][88/2187] Loss_D: 0.2146 Loss_G: 2.2343 R1: 0.0524 R2: 0.0251 w_avg: [ 0.2993, 0.3370, 0.2685, ..., -0.1012, 0.0408, 0.0867]
INFO:root:[1][89/2187] Loss_D: 0.2767 Loss_G: 2.7630 R1: 0.0439 R2: 0.0361 w_avg: [ 0.2996, 0.3369, 0.2693, ..., -0.1015, 0.0409, 0.0865]
INFO:root:[1][90/2187] Loss_D: 0.4914 Loss_G: 2.6269 R1: 0.0413 R2: 0.0444 w_avg: [ 0.2995, 0.3368, 0.2693, ..., -0.1014, 0.0407, 0.0865]
INFO:root:[1][91/2187] Loss_D: 0.4388 Loss_G: 2.6562 R1: 0.0470 R2: 0.0368 w_avg: [ 0.2990, 0.3364, 0.2692, ..., -0.1015, 0.0409, 0.0866]
INFO:root:[1][92/2187] Loss_D: 0.3517 Loss_G: 2.4422 R1: 0.0391 R2: 0.0289 w_avg: [ 0.2990, 0.3361, 0.2690, ..., -0.1017, 0.0412, 0.0865]
INFO:root:[1][93/2187] Loss_D: 0.3446 Loss_G: 2.9459 R1: 0.0356 R2: 0.0282 w_avg: [ 0.2987, 0.3357, 0.2687, ..., -0.1019, 0.0411, 0.0868]
INFO:root:[1][94/2187] Loss_D: 0.2076 Loss_G: 3.3426 R1: 0.0424 R2: 0.0350 w_avg: [ 0.2986, 0.3359, 0.2684, ..., -0.1020, 0.0408, 0.0867]
INFO:root:[1][95/2187] Loss_D: 0.2569 Loss_G: 3.4843 R1: 0.0424 R2: 0.0458 w_avg: [ 0.2991, 0.3361, 0.2686, ..., -0.1021, 0.0406, 0.0864]
INFO:root:[1][96/2187] Loss_D: 0.2905 Loss_G: 3.2311 R1: 0.0512 R2: 0.0426 w_avg: [ 0.2987, 0.3360, 0.2689, ..., -0.1021, 0.0405, 0.0860]
INFO:root:[1][97/2187] Loss_D: 0.3112 Loss_G: 2.6844 R1: 0.0491 R2: 0.0407 w_avg: [ 0.2984, 0.3366, 0.2689, ..., -0.1021, 0.0403, 0.0858]
INFO:root:[1][98/2187] Loss_D: 0.2857 Loss_G: 2.5797 R1: 0.0508 R2: 0.0355 w_avg: [ 0.2983, 0.3365, 0.2690, ..., -0.1023, 0.0411, 0.0861]
INFO:root:[1][99/2187] Loss_D: 0.4462 Loss_G: 2.2901 R1: 0.0511 R2: 0.0360 w_avg: [ 0.2983, 0.3367, 0.2687, ..., -0.1023, 0.0409, 0.0860]
INFO:root:[1][100/2187] Loss_D: 0.5045 Loss_G: 2.9162 R1: 0.0398 R2: 0.0370 w_avg: [ 0.2977, 0.3363, 0.2683, ..., -0.1024, 0.0406, 0.0859]
INFO:root:[1][101/2187] Loss_D: 0.2598 Loss_G: 2.7988 R1: 0.0407 R2: 0.0291 w_avg: [ 0.2975, 0.3360, 0.2681, ..., -0.1025, 0.0407, 0.0858]
INFO:root:[1][102/2187] Loss_D: 0.2420 Loss_G: 2.7855 R1: 0.0436 R2: 0.0296 w_avg: [ 0.2973, 0.3360, 0.2682, ..., -0.1024, 0.0405, 0.0858]
INFO:root:[1][103/2187] Loss_D: 0.3661 Loss_G: 2.2292 R1: 0.0397 R2: 0.0349 w_avg: [ 0.2970, 0.3360, 0.2681, ..., -0.1021, 0.0406, 0.0856]
INFO:root:[1][104/2187] Loss_D: 0.5115 Loss_G: 2.6508 R1: 0.0366 R2: 0.0471 w_avg: [ 0.2975, 0.3364, 0.2677, ..., -0.1022, 0.0406, 0.0856]
INFO:root:[1][105/2187] Loss_D: 0.2930 Loss_G: 2.3464 R1: 0.0647 R2: 0.0233 w_avg: [ 0.2974, 0.3358, 0.2678, ..., -0.1022, 0.0408, 0.0855]
INFO:root:[1][106/2187] Loss_D: 0.6900 Loss_G: 2.2709 R1: 0.0433 R2: 0.0430 w_avg: [ 0.2974, 0.3358, 0.2681, ..., -0.1022, 0.0404, 0.0856]
INFO:root:[1][107/2187] Loss_D: 0.3924 Loss_G: 2.2958 R1: 0.0387 R2: 0.0238 w_avg: [ 0.2975, 0.3358, 0.2681, ..., -0.1024, 0.0409, 0.0852]
INFO:root:[1][108/2187] Loss_D: 0.3858 Loss_G: 2.6155 R1: 0.0355 R2: 0.0239 w_avg: [ 0.2972, 0.3360, 0.2682, ..., -0.1023, 0.0409, 0.0852]
INFO:root:[1][109/2187] Loss_D: 0.2828 Loss_G: 1.8845 R1: 0.0445 R2: 0.0286 w_avg: [ 0.2970, 0.3355, 0.2687, ..., -0.1024, 0.0409, 0.0850]
INFO:root:[1][110/2187] Loss_D: 0.3534 Loss_G: 2.2403 R1: 0.0394 R2: 0.0362 w_avg: [ 0.2971, 0.3359, 0.2686, ..., -0.1022, 0.0406, 0.0849]
INFO:root:[1][111/2187] Loss_D: 0.3063 Loss_G: 2.4554 R1: 0.0435 R2: 0.0296 w_avg: [ 0.2972, 0.3365, 0.2689, ..., -0.1020, 0.0402, 0.0851]
INFO:root:[1][112/2187] Loss_D: 0.2945 Loss_G: 1.9693 R1: 0.0452 R2: 0.0389 w_avg: [ 0.2972, 0.3365, 0.2687, ..., -0.1016, 0.0399, 0.0850]
INFO:root:[1][113/2187] Loss_D: 0.2812 Loss_G: 2.1054 R1: 0.0422 R2: 0.0348 w_avg: [ 0.2972, 0.3363, 0.2687, ..., -0.1017, 0.0401, 0.0852]
INFO:root:[1][114/2187] Loss_D: 0.4211 Loss_G: 2.5532 R1: 0.0475 R2: 0.0443 w_avg: [ 0.2970, 0.3367, 0.2690, ..., -0.1017, 0.0400, 0.0852]
INFO:root:[1][115/2187] Loss_D: 0.3424 Loss_G: 1.8064 R1: 0.0460 R2: 0.0363 w_avg: [ 0.2969, 0.3360, 0.2688, ..., -0.1018, 0.0400, 0.0851]
INFO:root:[1][116/2187] Loss_D: 0.3945 Loss_G: 2.2895 R1: 0.0425 R2: 0.0385 w_avg: [ 0.2963, 0.3361, 0.2688, ..., -0.1018, 0.0397, 0.0851]
INFO:root:[1][117/2187] Loss_D: 0.2666 Loss_G: 2.1397 R1: 0.0378 R2: 0.0289 w_avg: [ 0.2964, 0.3362, 0.2685, ..., -0.1020, 0.0401, 0.0852]
INFO:root:[1][118/2187] Loss_D: 0.3157 Loss_G: 1.9717 R1: 0.0353 R2: 0.0269 w_avg: [ 0.2961, 0.3363, 0.2690, ..., -0.1022, 0.0400, 0.0848]
INFO:root:[1][119/2187] Loss_D: 0.2732 Loss_G: 2.2799 R1: 0.0431 R2: 0.0269 w_avg: [ 0.2962, 0.3362, 0.2684, ..., -0.1021, 0.0399, 0.0846]
INFO:root:[1][120/2187] Loss_D: 0.4054 Loss_G: 3.1367 R1: 0.0405 R2: 0.0336 w_avg: [ 0.2958, 0.3358, 0.2690, ..., -0.1020, 0.0399, 0.0843]
INFO:root:[1][121/2187] Loss_D: 0.4319 Loss_G: 2.8370 R1: 0.0379 R2: 0.0400 w_avg: [ 0.2963, 0.3355, 0.2690, ..., -0.1018, 0.0397, 0.0843]
INFO:root:[1][122/2187] Loss_D: 0.3110 Loss_G: 2.6045 R1: 0.0419 R2: 0.0263 w_avg: [ 0.2964, 0.3359, 0.2692, ..., -0.1018, 0.0398, 0.0846]
INFO:root:[1][123/2187] Loss_D: 0.3657 Loss_G: 2.7390 R1: 0.0373 R2: 0.0360 w_avg: [ 0.2958, 0.3355, 0.2690, ..., -0.1018, 0.0398, 0.0845]
INFO:root:[1][124/2187] Loss_D: 0.3052 Loss_G: 3.0455 R1: 0.0422 R2: 0.0339 w_avg: [ 0.2953, 0.3352, 0.2686, ..., -0.1015, 0.0399, 0.0844]
INFO:root:[1][125/2187] Loss_D: 0.3024 Loss_G: 2.7814 R1: 0.0447 R2: 0.0432 w_avg: [ 0.2951, 0.3346, 0.2685, ..., -0.1014, 0.0400, 0.0841]
INFO:root:[1][126/2187] Loss_D: 0.6218 Loss_G: 2.3675 R1: 0.0387 R2: 0.0371 w_avg: [ 0.2956, 0.3349, 0.2685, ..., -0.1013, 0.0399, 0.0841]
INFO:root:[1][127/2187] Loss_D: 0.8482 Loss_G: 2.1956 R1: 0.0330 R2: 0.0344 w_avg: [ 0.2957, 0.3356, 0.2683, ..., -0.1012, 0.0396, 0.0840]
INFO:root:[1][128/2187] Loss_D: 0.3583 Loss_G: 2.1848 R1: 0.0320 R2: 0.0202 w_avg: [ 0.2950, 0.3352, 0.2685, ..., -0.1013, 0.0398, 0.0837]
INFO:root:[1][129/2187] Loss_D: 0.3035 Loss_G: 2.6521 R1: 0.0332 R2: 0.0173 w_avg: [ 0.2950, 0.3354, 0.2682, ..., -0.1012, 0.0398, 0.0837]
INFO:root:[1][130/2187] Loss_D: 0.2362 Loss_G: 2.5928 R1: 0.0371 R2: 0.0301 w_avg: [ 0.2947, 0.3354, 0.2682, ..., -0.1013, 0.0398, 0.0839]
INFO:root:[1][131/2187] Loss_D: 0.4039 Loss_G: 2.2848 R1: 0.0353 R2: 0.0326 w_avg: [ 0.2946, 0.3354, 0.2677, ..., -0.1015, 0.0397, 0.0836]
INFO:root:[1][132/2187] Loss_D: 0.2896 Loss_G: 2.2808 R1: 0.0391 R2: 0.0319 w_avg: [ 0.2942, 0.3349, 0.2674, ..., -0.1015, 0.0396, 0.0832]
INFO:root:[1][133/2187] Loss_D: 0.4448 Loss_G: 2.4712 R1: 0.0383 R2: 0.0387 w_avg: [ 0.2943, 0.3348, 0.2677, ..., -0.1017, 0.0396, 0.0835]
INFO:root:[1][134/2187] Loss_D: 0.2742 Loss_G: 2.5940 R1: 0.0414 R2: 0.0330 w_avg: [ 0.2939, 0.3348, 0.2676, ..., -0.1017, 0.0394, 0.0833]
INFO:root:[1][135/2187] Loss_D: 0.3541 Loss_G: 2.2286 R1: 0.0469 R2: 0.0337 w_avg: [ 0.2935, 0.3343, 0.2675, ..., -0.1019, 0.0393, 0.0833]
INFO:root:[1][136/2187] Loss_D: 0.2908 Loss_G: 1.7224 R1: 0.0381 R2: 0.0365 w_avg: [ 0.2931, 0.3339, 0.2672, ..., -0.1018, 0.0393, 0.0832]
INFO:root:[1][137/2187] Loss_D: 0.5104 Loss_G: 2.8996 R1: 0.0465 R2: 0.0384 w_avg: [ 0.2930, 0.3336, 0.2672, ..., -0.1019, 0.0392, 0.0832]
INFO:root:[1][138/2187] Loss_D: 0.4175 Loss_G: 2.5963 R1: 0.0397 R2: 0.0391 w_avg: [ 0.2931, 0.3336, 0.2670, ..., -0.1018, 0.0390, 0.0831]
INFO:root:[1][139/2187] Loss_D: 0.5056 Loss_G: 2.1763 R1: 0.0391 R2: 0.0396 w_avg: [ 0.2932, 0.3335, 0.2669, ..., -0.1015, 0.0389, 0.0833]
INFO:root:[1][140/2187] Loss_D: 0.3262 Loss_G: 2.5544 R1: 0.0359 R2: 0.0221 w_avg: [ 0.2931, 0.3334, 0.2669, ..., -0.1013, 0.0386, 0.0834]
INFO:root:[1][141/2187] Loss_D: 0.2341 Loss_G: 2.0649 R1: 0.0401 R2: 0.0248 w_avg: [ 0.2929, 0.3333, 0.2669, ..., -0.1015, 0.0382, 0.0837]
INFO:root:[1][142/2187] Loss_D: 0.3484 Loss_G: 2.5108 R1: 0.0433 R2: 0.0293 w_avg: [ 0.2932, 0.3332, 0.2671, ..., -0.1015, 0.0387, 0.0835]
INFO:root:[1][143/2187] Loss_D: 0.5812 Loss_G: 2.1530 R1: 0.0429 R2: 0.0425 w_avg: [ 0.2930, 0.3329, 0.2672, ..., -0.1015, 0.0387, 0.0833]
INFO:root:[1][144/2187] Loss_D: 0.3665 Loss_G: 1.8504 R1: 0.0335 R2: 0.0326 w_avg: [ 0.2925, 0.3325, 0.2673, ..., -0.1015, 0.0387, 0.0833]
INFO:root:[1][145/2187] Loss_D: 0.4028 Loss_G: 2.0507 R1: 0.0394 R2: 0.0231 w_avg: [ 0.2924, 0.3330, 0.2671, ..., -0.1014, 0.0384, 0.0835]
INFO:root:[1][146/2187] Loss_D: 0.3744 Loss_G: 2.2884 R1: 0.0374 R2: 0.0259 w_avg: [ 0.2927, 0.3328, 0.2670, ..., -0.1014, 0.0386, 0.0835]
INFO:root:[1][147/2187] Loss_D: 0.3735 Loss_G: 2.1530 R1: 0.0379 R2: 0.0314 w_avg: [ 0.2926, 0.3326, 0.2668, ..., -0.1016, 0.0391, 0.0834]
INFO:root:[1][148/2187] Loss_D: 0.2559 Loss_G: 2.2011 R1: 0.0429 R2: 0.0279 w_avg: [ 0.2925, 0.3329, 0.2665, ..., -0.1015, 0.0394, 0.0839]
INFO:root:[1][149/2187] Loss_D: 0.3287 Loss_G: 2.4335 R1: 0.0458 R2: 0.0379 w_avg: [ 0.2922, 0.3323, 0.2661, ..., -0.1015, 0.0394, 0.0837]
INFO:root:[1][150/2187] Loss_D: 0.2571 Loss_G: 2.0893 R1: 0.0395 R2: 0.0323 w_avg: [ 0.2918, 0.3322, 0.2657, ..., -0.1016, 0.0395, 0.0837]
INFO:root:[1][151/2187] Loss_D: 0.2784 Loss_G: 2.0428 R1: 0.0435 R2: 0.0452 w_avg: [ 0.2916, 0.3317, 0.2656, ..., -0.1017, 0.0395, 0.0833]
INFO:root:[1][152/2187] Loss_D: 0.4373 Loss_G: 2.5068 R1: 0.0361 R2: 0.0352 w_avg: [ 0.2912, 0.3315, 0.2657, ..., -0.1016, 0.0396, 0.0831]
INFO:root:[1][153/2187] Loss_D: 0.3365 Loss_G: 2.4908 R1: 0.0453 R2: 0.0279 w_avg: [ 0.2917, 0.3317, 0.2652, ..., -0.1018, 0.0394, 0.0832]
INFO:root:[1][154/2187] Loss_D: 0.3266 Loss_G: 2.3015 R1: 0.0446 R2: 0.0229 w_avg: [ 0.2917, 0.3319, 0.2658, ..., -0.1019, 0.0393, 0.0829]
INFO:root:[1][155/2187] Loss_D: 0.3705 Loss_G: 2.6735 R1: 0.0494 R2: 0.0360 w_avg: [ 0.2915, 0.3324, 0.2656, ..., -0.1020, 0.0397, 0.0829]
INFO:root:[1][156/2187] Loss_D: 0.5769 Loss_G: 2.2769 R1: 0.0470 R2: 0.0457 w_avg: [ 0.2915, 0.3326, 0.2653, ..., -0.1019, 0.0398, 0.0829]
INFO:root:[1][157/2187] Loss_D: 0.3544 Loss_G: 2.8184 R1: 0.0403 R2: 0.0300 w_avg: [ 0.2909, 0.3329, 0.2654, ..., -0.1016, 0.0398, 0.0830]
INFO:root:[1][158/2187] Loss_D: 0.3351 Loss_G: 2.1671 R1: 0.0414 R2: 0.0378 w_avg: [ 0.2913, 0.3325, 0.2655, ..., -0.1016, 0.0398, 0.0826]
INFO:root:[1][159/2187] Loss_D: 0.5044 Loss_G: 2.7627 R1: 0.0434 R2: 0.0378 w_avg: [ 0.2917, 0.3323, 0.2654, ..., -0.1017, 0.0399, 0.0826]
INFO:root:[1][160/2187] Loss_D: 0.2929 Loss_G: 2.2435 R1: 0.0471 R2: 0.0287 w_avg: [ 0.2919, 0.3321, 0.2655, ..., -0.1017, 0.0399, 0.0823]
INFO:root:[1][161/2187] Loss_D: 0.3490 Loss_G: 3.0353 R1: 0.0442 R2: 0.0361 w_avg: [ 0.2917, 0.3317, 0.2654, ..., -0.1020, 0.0403, 0.0819]
INFO:root:[1][162/2187] Loss_D: 0.4053 Loss_G: 2.5485 R1: 0.0497 R2: 0.0348 w_avg: [ 0.2918, 0.3312, 0.2651, ..., -0.1020, 0.0403, 0.0821]
INFO:root:[1][163/2187] Loss_D: 0.2693 Loss_G: 2.9283 R1: 0.0431 R2: 0.0374 w_avg: [ 0.2918, 0.3313, 0.2648, ..., -0.1020, 0.0406, 0.0820]
INFO:root:[1][164/2187] Loss_D: 0.2078 Loss_G: 2.2657 R1: 0.0489 R2: 0.0332 w_avg: [ 0.2922, 0.3308, 0.2644, ..., -0.1020, 0.0406, 0.0817]
INFO:root:[1][165/2187] Loss_D: 0.4430 Loss_G: 2.1013 R1: 0.0473 R2: 0.0393 w_avg: [ 0.2921, 0.3309, 0.2641, ..., -0.1019, 0.0411, 0.0822]
INFO:root:[1][166/2187] Loss_D: 0.3477 Loss_G: 2.0822 R1: 0.0359 R2: 0.0205 w_avg: [ 0.2920, 0.3313, 0.2642, ..., -0.1020, 0.0411, 0.0819]
INFO:root:[1][167/2187] Loss_D: 0.3447 Loss_G: 2.2927 R1: 0.0343 R2: 0.0322 w_avg: [ 0.2925, 0.3309, 0.2644, ..., -0.1020, 0.0408, 0.0819]
INFO:root:[1][168/2187] Loss_D: 0.3576 Loss_G: 2.4262 R1: 0.0361 R2: 0.0288 w_avg: [ 0.2926, 0.3306, 0.2644, ..., -0.1021, 0.0411, 0.0815]
INFO:root:[1][169/2187] Loss_D: 0.3175 Loss_G: 2.4845 R1: 0.0389 R2: 0.0316 w_avg: [ 0.2925, 0.3305, 0.2649, ..., -0.1021, 0.0413, 0.0812]
INFO:root:[1][170/2187] Loss_D: 0.2702 Loss_G: 2.9112 R1: 0.0453 R2: 0.0205 w_avg: [ 0.2923, 0.3309, 0.2647, ..., -0.1021, 0.0412, 0.0812]
INFO:root:[1][171/2187] Loss_D: 0.2581 Loss_G: 2.5611 R1: 0.0401 R2: 0.0315 w_avg: [ 0.2920, 0.3308, 0.2645, ..., -0.1022, 0.0413, 0.0811]
INFO:root:[1][172/2187] Loss_D: 0.2653 Loss_G: 2.6517 R1: 0.0441 R2: 0.0242 w_avg: [ 0.2924, 0.3311, 0.2646, ..., -0.1023, 0.0413, 0.0810]
INFO:root:[1][173/2187] Loss_D: 0.2713 Loss_G: 2.0632 R1: 0.0467 R2: 0.0397 w_avg: [ 0.2926, 0.3310, 0.2647, ..., -0.1025, 0.0417, 0.0810]
INFO:root:[1][174/2187] Loss_D: 0.4806 Loss_G: 2.6951 R1: 0.0416 R2: 0.0383 w_avg: [ 0.2927, 0.3310, 0.2649, ..., -0.1025, 0.0416, 0.0809]
INFO:root:[1][175/2187] Loss_D: 0.3622 Loss_G: 2.2554 R1: 0.0458 R2: 0.0358 w_avg: [ 0.2930, 0.3308, 0.2655, ..., -0.1026, 0.0416, 0.0805]
INFO:root:[1][176/2187] Loss_D: 0.3347 Loss_G: 1.9160 R1: 0.0407 R2: 0.0334 w_avg: [ 0.2930, 0.3305, 0.2659, ..., -0.1024, 0.0417, 0.0804]
INFO:root:[1][177/2187] Loss_D: 0.2769 Loss_G: 2.4167 R1: 0.0418 R2: 0.0251 w_avg: [ 0.2924, 0.3306, 0.2654, ..., -0.1026, 0.0416, 0.0802]
INFO:root:[1][178/2187] Loss_D: 0.2623 Loss_G: 2.5058 R1: 0.0469 R2: 0.0261 w_avg: [ 0.2922, 0.3304, 0.2656, ..., -0.1024, 0.0418, 0.0801]
INFO:root:[1][179/2187] Loss_D: 0.2585 Loss_G: 2.3681 R1: 0.0427 R2: 0.0246 w_avg: [ 0.2918, 0.3301, 0.2655, ..., -0.1025, 0.0419, 0.0799]
INFO:root:[1][180/2187] Loss_D: 0.2704 Loss_G: 2.4293 R1: 0.0508 R2: 0.0300 w_avg: [ 0.2921, 0.3296, 0.2655, ..., -0.1026, 0.0422, 0.0800]
INFO:root:[1][181/2187] Loss_D: 0.3055 Loss_G: 2.7140 R1: 0.0486 R2: 0.0307 w_avg: [ 0.2919, 0.3294, 0.2653, ..., -0.1028, 0.0420, 0.0798]
INFO:root:[1][182/2187] Loss_D: 0.4089 Loss_G: 2.2694 R1: 0.0459 R2: 0.0375 w_avg: [ 0.2917, 0.3293, 0.2648, ..., -0.1025, 0.0417, 0.0798]
INFO:root:[1][183/2187] Loss_D: 0.4597 Loss_G: 2.3253 R1: 0.0458 R2: 0.0296 w_avg: [ 0.2915, 0.3290, 0.2646, ..., -0.1024, 0.0418, 0.0796]
INFO:root:[1][184/2187] Loss_D: 0.2335 Loss_G: 2.5154 R1: 0.0438 R2: 0.0387 w_avg: [ 0.2913, 0.3286, 0.2642, ..., -0.1025, 0.0420, 0.0795]
INFO:root:[1][185/2187] Loss_D: 0.3615 Loss_G: 2.8367 R1: 0.0445 R2: 0.0386 w_avg: [ 0.2909, 0.3282, 0.2637, ..., -0.1024, 0.0417, 0.0791]
INFO:root:[1][186/2187] Loss_D: 0.2677 Loss_G: 2.8521 R1: 0.0510 R2: 0.0394 w_avg: [ 0.2906, 0.3281, 0.2632, ..., -0.1024, 0.0416, 0.0794]
INFO:root:[1][187/2187] Loss_D: 0.3067 Loss_G: 2.9066 R1: 0.0457 R2: 0.0389 w_avg: [ 0.2902, 0.3281, 0.2630, ..., -0.1024, 0.0413, 0.0794]
INFO:root:[1][188/2187] Loss_D: 0.2238 Loss_G: 2.3238 R1: 0.0527 R2: 0.0393 w_avg: [ 0.2900, 0.3277, 0.2627, ..., -0.1025, 0.0415, 0.0790]
INFO:root:[1][189/2187] Loss_D: 0.2430 Loss_G: 2.2452 R1: 0.0529 R2: 0.0363 w_avg: [ 0.2899, 0.3275, 0.2631, ..., -0.1026, 0.0415, 0.0787]
INFO:root:[1][190/2187] Loss_D: 0.4007 Loss_G: 2.0942 R1: 0.0407 R2: 0.0386 w_avg: [ 0.2904, 0.3273, 0.2633, ..., -0.1025, 0.0415, 0.0792]
INFO:root:[1][191/2187] Loss_D: 0.3012 Loss_G: 2.4745 R1: 0.0405 R2: 0.0242 w_avg: [ 0.2901, 0.3268, 0.2631, ..., -0.1027, 0.0417, 0.0788]
INFO:root:[1][192/2187] Loss_D: 0.3308 Loss_G: 1.7596 R1: 0.0490 R2: 0.0244 w_avg: [ 0.2900, 0.3268, 0.2637, ..., -0.1028, 0.0418, 0.0786]
INFO:root:[1][193/2187] Loss_D: 0.4608 Loss_G: 2.3015 R1: 0.0514 R2: 0.0350 w_avg: [ 0.2896, 0.3272, 0.2635, ..., -0.1027, 0.0416, 0.0786]
INFO:root:[1][194/2187] Loss_D: 0.3341 Loss_G: 2.8620 R1: 0.0421 R2: 0.0229 w_avg: [ 0.2896, 0.3267, 0.2632, ..., -0.1026, 0.0418, 0.0782]
INFO:root:[1][195/2187] Loss_D: 0.4771 Loss_G: 2.5532 R1: 0.0423 R2: 0.0348 w_avg: [ 0.2903, 0.3263, 0.2629, ..., -0.1026, 0.0417, 0.0783]
INFO:root:[1][196/2187] Loss_D: 0.3987 Loss_G: 2.5327 R1: 0.0510 R2: 0.0358 w_avg: [ 0.2904, 0.3262, 0.2629, ..., -0.1026, 0.0416, 0.0785]
INFO:root:[1][197/2187] Loss_D: 0.2967 Loss_G: 2.8155 R1: 0.0557 R2: 0.0350 w_avg: [ 0.2910, 0.3261, 0.2625, ..., -0.1028, 0.0414, 0.0781]
INFO:root:[1][198/2187] Loss_D: 0.3103 Loss_G: 2.3339 R1: 0.0463 R2: 0.0307 w_avg: [ 0.2913, 0.3267, 0.2631, ..., -0.1028, 0.0411, 0.0783]
INFO:root:[1][199/2187] Loss_D: 0.4854 Loss_G: 2.4262 R1: 0.0466 R2: 0.0449 w_avg: [ 0.2915, 0.3267, 0.2629, ..., -0.1028, 0.0414, 0.0780]
INFO:root:[1][200/2187] Loss_D: 0.3078 Loss_G: 2.0915 R1: 0.0365 R2: 0.0204 w_avg: [ 0.2914, 0.3269, 0.2627, ..., -0.1029, 0.0411, 0.0782]
INFO:root:[1][201/2187] Loss_D: 0.3107 Loss_G: 2.5622 R1: 0.0460 R2: 0.0263 w_avg: [ 0.2913, 0.3266, 0.2623, ..., -0.1030, 0.0413, 0.0787]
INFO:root:[1][202/2187] Loss_D: 0.2227 Loss_G: 2.1838 R1: 0.0450 R2: 0.0280 w_avg: [ 0.2913, 0.3266, 0.2622, ..., -0.1030, 0.0410, 0.0785]
INFO:root:[1][203/2187] Loss_D: 0.3272 Loss_G: 3.0624 R1: 0.0463 R2: 0.0375 w_avg: [ 0.2918, 0.3266, 0.2629, ..., -0.1031, 0.0412, 0.0785]
INFO:root:[1][204/2187] Loss_D: 0.3768 Loss_G: 3.2729 R1: 0.0481 R2: 0.0381 w_avg: [ 0.2917, 0.3267, 0.2629, ..., -0.1031, 0.0410, 0.0784]
INFO:root:[1][205/2187] Loss_D: 0.3408 Loss_G: 2.5599 R1: 0.0520 R2: 0.0362 w_avg: [ 0.2916, 0.3269, 0.2628, ..., -0.1031, 0.0410, 0.0784]
INFO:root:[1][206/2187] Loss_D: 0.3840 Loss_G: 2.5123 R1: 0.0495 R2: 0.0463 w_avg: [ 0.2916, 0.3275, 0.2628, ..., -0.1030, 0.0407, 0.0784]
INFO:root:[1][207/2187] Loss_D: 0.2348 Loss_G: 2.2790 R1: 0.0543 R2: 0.0258 w_avg: [ 0.2913, 0.3276, 0.2632, ..., -0.1031, 0.0405, 0.0780]
INFO:root:[1][208/2187] Loss_D: 0.2558 Loss_G: 2.5215 R1: 0.0478 R2: 0.0334 w_avg: [ 0.2911, 0.3277, 0.2634, ..., -0.1033, 0.0408, 0.0777]
INFO:root:[1][209/2187] Loss_D: 0.3225 Loss_G: 2.5023 R1: 0.0444 R2: 0.0323 w_avg: [ 0.2906, 0.3282, 0.2632, ..., -0.1033, 0.0407, 0.0778]
INFO:root:[1][210/2187] Loss_D: 0.3208 Loss_G: 2.3008 R1: 0.0438 R2: 0.0486 w_avg: [ 0.2904, 0.3281, 0.2627, ..., -0.1032, 0.0406, 0.0780]
INFO:root:[1][211/2187] Loss_D: 0.4910 Loss_G: 2.3291 R1: 0.0450 R2: 0.0353 w_avg: [ 0.2907, 0.3288, 0.2629, ..., -0.1032, 0.0412, 0.0777]
INFO:root:[1][212/2187] Loss_D: 0.4183 Loss_G: 1.8906 R1: 0.0365 R2: 0.0388 w_avg: [ 0.2903, 0.3283, 0.2627, ..., -0.1032, 0.0415, 0.0775]
INFO:root:[1][213/2187] Loss_D: 0.3053 Loss_G: 1.9537 R1: 0.0439 R2: 0.0299 w_avg: [ 0.2902, 0.3285, 0.2632, ..., -0.1034, 0.0418, 0.0773]
INFO:root:[1][214/2187] Loss_D: 0.3974 Loss_G: 2.5375 R1: 0.0440 R2: 0.0344 w_avg: [ 0.2903, 0.3284, 0.2635, ..., -0.1035, 0.0416, 0.0769]
INFO:root:[1][215/2187] Loss_D: 0.5153 Loss_G: 2.0086 R1: 0.0358 R2: 0.0323 w_avg: [ 0.2901, 0.3285, 0.2632, ..., -0.1036, 0.0416, 0.0767]
INFO:root:[1][216/2187] Loss_D: 0.6103 Loss_G: 2.2390 R1: 0.0358 R2: 0.0341 w_avg: [ 0.2896, 0.3285, 0.2629, ..., -0.1037, 0.0417, 0.0767]
INFO:root:[1][217/2187] Loss_D: 0.3724 Loss_G: 2.6386 R1: 0.0352 R2: 0.0219 w_avg: [ 0.2899, 0.3287, 0.2629, ..., -0.1038, 0.0419, 0.0765]
INFO:root:[1][218/2187] Loss_D: 0.5345 Loss_G: 2.2862 R1: 0.0364 R2: 0.0461 w_avg: [ 0.2897, 0.3283, 0.2626, ..., -0.1039, 0.0420, 0.0764]
INFO:root:[1][219/2187] Loss_D: 0.3320 Loss_G: 2.2004 R1: 0.0470 R2: 0.0292 w_avg: [ 0.2892, 0.3283, 0.2628, ..., -0.1038, 0.0421, 0.0768]
INFO:root:[1][220/2187] Loss_D: 0.3715 Loss_G: 2.4230 R1: 0.0419 R2: 0.0255 w_avg: [ 0.2891, 0.3281, 0.2627, ..., -0.1040, 0.0422, 0.0768]
INFO:root:[1][221/2187] Loss_D: 0.3170 Loss_G: 2.5827 R1: 0.0410 R2: 0.0263 w_avg: [ 0.2886, 0.3283, 0.2625, ..., -0.1039, 0.0420, 0.0766]
INFO:root:[1][222/2187] Loss_D: 0.2540 Loss_G: 2.2832 R1: 0.0407 R2: 0.0345 w_avg: [ 0.2890, 0.3283, 0.2619, ..., -0.1039, 0.0419, 0.0768]
INFO:root:[1][223/2187] Loss_D: 0.3095 Loss_G: 1.9979 R1: 0.0423 R2: 0.0407 w_avg: [ 0.2888, 0.3281, 0.2621, ..., -0.1040, 0.0421, 0.0766]
INFO:root:[1][224/2187] Loss_D: 0.4261 Loss_G: 2.3904 R1: 0.0447 R2: 0.0388 w_avg: [ 0.2885, 0.3278, 0.2620, ..., -0.1042, 0.0425, 0.0763]
INFO:root:[1][225/2187] Loss_D: 0.4753 Loss_G: 2.6663 R1: 0.0413 R2: 0.0449 w_avg: [ 0.2882, 0.3276, 0.2619, ..., -0.1042, 0.0425, 0.0763]
INFO:root:[1][226/2187] Loss_D: 0.3152 Loss_G: 2.4785 R1: 0.0451 R2: 0.0370 w_avg: [ 0.2886, 0.3276, 0.2621, ..., -0.1042, 0.0426, 0.0763]
INFO:root:[1][227/2187] Loss_D: 0.2047 Loss_G: 2.1153 R1: 0.0436 R2: 0.0340 w_avg: [ 0.2883, 0.3275, 0.2620, ..., -0.1044, 0.0427, 0.0762]
INFO:root:[1][228/2187] Loss_D: 0.3668 Loss_G: 2.2362 R1: 0.0428 R2: 0.0367 w_avg: [ 0.2883, 0.3273, 0.2618, ..., -0.1045, 0.0428, 0.0762]
INFO:root:[1][229/2187] Loss_D: 0.3590 Loss_G: 2.7063 R1: 0.0392 R2: 0.0285 w_avg: [ 0.2882, 0.3273, 0.2618, ..., -0.1047, 0.0428, 0.0760]
INFO:root:[1][230/2187] Loss_D: 0.3217 Loss_G: 2.2857 R1: 0.0365 R2: 0.0325 w_avg: [ 0.2876, 0.3277, 0.2617, ..., -0.1047, 0.0424, 0.0760]
INFO:root:[1][231/2187] Loss_D: 0.4931 Loss_G: 2.1996 R1: 0.0341 R2: 0.0360 w_avg: [ 0.2878, 0.3276, 0.2617, ..., -0.1047, 0.0424, 0.0760]
INFO:root:[1][232/2187] Loss_D: 0.2976 Loss_G: 2.7574 R1: 0.0418 R2: 0.0315 w_avg: [ 0.2876, 0.3275, 0.2615, ..., -0.1047, 0.0424, 0.0759]
INFO:root:[1][233/2187] Loss_D: 0.3281 Loss_G: 3.0754 R1: 0.0482 R2: 0.0447 w_avg: [ 0.2879, 0.3273, 0.2616, ..., -0.1046, 0.0426, 0.0756]
INFO:root:[1][234/2187] Loss_D: 0.4810 Loss_G: 2.0167 R1: 0.0420 R2: 0.0442 w_avg: [ 0.2871, 0.3276, 0.2614, ..., -0.1046, 0.0424, 0.0760]
INFO:root:[1][235/2187] Loss_D: 0.3427 Loss_G: 1.9188 R1: 0.0403 R2: 0.0358 w_avg: [ 0.2870, 0.3278, 0.2610, ..., -0.1046, 0.0422, 0.0764]
INFO:root:[1][236/2187] Loss_D: 0.3466 Loss_G: 2.0024 R1: 0.0383 R2: 0.0307 w_avg: [ 0.2870, 0.3283, 0.2609, ..., -0.1044, 0.0420, 0.0765]
INFO:root:[1][237/2187] Loss_D: 0.4531 Loss_G: 1.7512 R1: 0.0375 R2: 0.0362 w_avg: [ 0.2868, 0.3277, 0.2608, ..., -0.1044, 0.0420, 0.0766]
INFO:root:[1][238/2187] Loss_D: 0.3022 Loss_G: 1.8919 R1: 0.0391 R2: 0.0316 w_avg: [ 0.2866, 0.3277, 0.2602, ..., -0.1046, 0.0425, 0.0765]
INFO:root:[1][239/2187] Loss_D: 0.2742 Loss_G: 2.0373 R1: 0.0399 R2: 0.0321 w_avg: [ 0.2865, 0.3275, 0.2602, ..., -0.1047, 0.0424, 0.0762]
INFO:root:[1][240/2187] Loss_D: 0.2638 Loss_G: 2.3791 R1: 0.0374 R2: 0.0355 w_avg: [ 0.2866, 0.3273, 0.2600, ..., -0.1047, 0.0426, 0.0762]
INFO:root:[1][241/2187] Loss_D: 0.6682 Loss_G: 2.2106 R1: 0.0387 R2: 0.0421 w_avg: [ 0.2867, 0.3266, 0.2601, ..., -0.1047, 0.0426, 0.0766]
INFO:root:[1][242/2187] Loss_D: 0.6658 Loss_G: 2.1627 R1: 0.0362 R2: 0.0347 w_avg: [ 0.2866, 0.3266, 0.2598, ..., -0.1047, 0.0428, 0.0765]
INFO:root:[1][243/2187] Loss_D: 0.3839 Loss_G: 2.0740 R1: 0.0368 R2: 0.0269 w_avg: [ 0.2864, 0.3266, 0.2599, ..., -0.1048, 0.0428, 0.0762]
INFO:root:[1][244/2187] Loss_D: 0.2346 Loss_G: 2.4367 R1: 0.0377 R2: 0.0213 w_avg: [ 0.2865, 0.3271, 0.2596, ..., -0.1046, 0.0427, 0.0762]
INFO:root:[1][245/2187] Loss_D: 0.3109 Loss_G: 2.1932 R1: 0.0365 R2: 0.0292 w_avg: [ 0.2865, 0.3267, 0.2599, ..., -0.1047, 0.0427, 0.0761]
INFO:root:[1][246/2187] Loss_D: 0.4554 Loss_G: 2.0660 R1: 0.0346 R2: 0.0295 w_avg: [ 0.2864, 0.3268, 0.2598, ..., -0.1049, 0.0427, 0.0759]
INFO:root:[1][247/2187] Loss_D: 0.2422 Loss_G: 2.2211 R1: 0.0395 R2: 0.0292 w_avg: [ 0.2870, 0.3270, 0.2602, ..., -0.1050, 0.0426, 0.0759]
INFO:root:[1][248/2187] Loss_D: 0.2889 Loss_G: 1.8820 R1: 0.0394 R2: 0.0317 w_avg: [ 0.2868, 0.3274, 0.2604, ..., -0.1050, 0.0427, 0.0758]
INFO:root:[1][249/2187] Loss_D: 0.4127 Loss_G: 2.6173 R1: 0.0411 R2: 0.0337 w_avg: [ 0.2864, 0.3273, 0.2603, ..., -0.1051, 0.0425, 0.0757]
INFO:root:[1][250/2187] Loss_D: 0.3057 Loss_G: 2.0125 R1: 0.0382 R2: 0.0293 w_avg: [ 0.2857, 0.3270, 0.2603, ..., -0.1053, 0.0426, 0.0758]
INFO:root:[1][251/2187] Loss_D: 0.3149 Loss_G: 2.0806 R1: 0.0380 R2: 0.0338 w_avg: [ 0.2857, 0.3267, 0.2604, ..., -0.1052, 0.0422, 0.0755]
INFO:root:[1][252/2187] Loss_D: 0.3747 Loss_G: 2.1673 R1: 0.0376 R2: 0.0289 w_avg: [ 0.2853, 0.3266, 0.2609, ..., -0.1055, 0.0424, 0.0754]
INFO:root:[1][253/2187] Loss_D: 0.4899 Loss_G: 2.1826 R1: 0.0314 R2: 0.0267 w_avg: [ 0.2851, 0.3263, 0.2607, ..., -0.1053, 0.0424, 0.0754]
INFO:root:[1][254/2187] Loss_D: 0.2673 Loss_G: 2.6432 R1: 0.0407 R2: 0.0213 w_avg: [ 0.2848, 0.3263, 0.2604, ..., -0.1055, 0.0428, 0.0752]
INFO:root:[1][255/2187] Loss_D: 0.2612 Loss_G: 2.5278 R1: 0.0393 R2: 0.0251 w_avg: [ 0.2844, 0.3263, 0.2603, ..., -0.1053, 0.0427, 0.0751]
INFO:root:[1][256/2187] Loss_D: 0.2208 Loss_G: 2.4787 R1: 0.0445 R2: 0.0304 w_avg: [ 0.2841, 0.3264, 0.2603, ..., -0.1056, 0.0429, 0.0752]
INFO:root:[1][257/2187] Loss_D: 0.3443 Loss_G: 3.0591 R1: 0.0427 R2: 0.0366 w_avg: [ 0.2840, 0.3264, 0.2601, ..., -0.1056, 0.0429, 0.0753]
INFO:root:[1][258/2187] Loss_D: 0.3511 Loss_G: 2.1588 R1: 0.0420 R2: 0.0257 w_avg: [ 0.2838, 0.3264, 0.2600, ..., -0.1057, 0.0429, 0.0753]
INFO:root:[1][259/2187] Loss_D: 0.4063 Loss_G: 2.5772 R1: 0.0412 R2: 0.0308 w_avg: [ 0.2838, 0.3264, 0.2602, ..., -0.1059, 0.0427, 0.0752]
INFO:root:[1][260/2187] Loss_D: 0.2390 Loss_G: 2.7670 R1: 0.0385 R2: 0.0207 w_avg: [ 0.2835, 0.3267, 0.2606, ..., -0.1059, 0.0428, 0.0752]
INFO:root:[1][261/2187] Loss_D: 0.2491 Loss_G: 2.1767 R1: 0.0473 R2: 0.0297 w_avg: [ 0.2835, 0.3267, 0.2604, ..., -0.1059, 0.0428, 0.0750]
INFO:root:[1][262/2187] Loss_D: 0.3234 Loss_G: 2.7008 R1: 0.0443 R2: 0.0396 w_avg: [ 0.2835, 0.3267, 0.2601, ..., -0.1056, 0.0429, 0.0749]
INFO:root:[1][263/2187] Loss_D: 0.4536 Loss_G: 2.7727 R1: 0.0411 R2: 0.0346 w_avg: [ 0.2835, 0.3264, 0.2598, ..., -0.1054, 0.0427, 0.0749]
INFO:root:[1][264/2187] Loss_D: 0.2318 Loss_G: 2.2113 R1: 0.0419 R2: 0.0258 w_avg: [ 0.2833, 0.3260, 0.2599, ..., -0.1056, 0.0429, 0.0744]
INFO:root:[1][265/2187] Loss_D: 0.3254 Loss_G: 2.8178 R1: 0.0427 R2: 0.0319 w_avg: [ 0.2827, 0.3258, 0.2599, ..., -0.1057, 0.0430, 0.0743]
INFO:root:[1][266/2187] Loss_D: 0.5169 Loss_G: 2.2035 R1: 0.0438 R2: 0.0391 w_avg: [ 0.2829, 0.3255, 0.2599, ..., -0.1057, 0.0430, 0.0742]
INFO:root:[1][267/2187] Loss_D: 0.4574 Loss_G: 2.9631 R1: 0.0352 R2: 0.0248 w_avg: [ 0.2826, 0.3256, 0.2600, ..., -0.1059, 0.0431, 0.0740]
INFO:root:[1][268/2187] Loss_D: 0.2280 Loss_G: 2.6582 R1: 0.0435 R2: 0.0323 w_avg: [ 0.2825, 0.3258, 0.2598, ..., -0.1060, 0.0429, 0.0740]
INFO:root:[1][269/2187] Loss_D: 0.2819 Loss_G: 2.8067 R1: 0.0436 R2: 0.0306 w_avg: [ 0.2820, 0.3260, 0.2599, ..., -0.1061, 0.0428, 0.0737]
INFO:root:[1][270/2187] Loss_D: 0.2788 Loss_G: 2.3520 R1: 0.0477 R2: 0.0362 w_avg: [ 0.2818, 0.3256, 0.2597, ..., -0.1060, 0.0429, 0.0738]
INFO:root:[1][271/2187] Loss_D: 0.3380 Loss_G: 2.0264 R1: 0.0465 R2: 0.0406 w_avg: [ 0.2816, 0.3255, 0.2596, ..., -0.1062, 0.0429, 0.0734]
INFO:root:[1][272/2187] Loss_D: 0.3576 Loss_G: 2.4713 R1: 0.0463 R2: 0.0431 w_avg: [ 0.2810, 0.3250, 0.2589, ..., -0.1063, 0.0430, 0.0737]
INFO:root:[1][273/2187] Loss_D: 0.3647 Loss_G: 2.7023 R1: 0.0460 R2: 0.0413 w_avg: [ 0.2809, 0.3247, 0.2590, ..., -0.1064, 0.0431, 0.0740]
INFO:root:[1][274/2187] Loss_D: 0.4434 Loss_G: 2.3947 R1: 0.0416 R2: 0.0382 w_avg: [ 0.2806, 0.3246, 0.2593, ..., -0.1060, 0.0434, 0.0740]
INFO:root:[1][275/2187] Loss_D: 0.3455 Loss_G: 2.1289 R1: 0.0376 R2: 0.0340 w_avg: [ 0.2804, 0.3247, 0.2590, ..., -0.1060, 0.0432, 0.0738]
INFO:root:[1][276/2187] Loss_D: 0.2956 Loss_G: 2.1663 R1: 0.0379 R2: 0.0248 w_avg: [ 0.2800, 0.3245, 0.2587, ..., -0.1059, 0.0429, 0.0735]
INFO:root:[1][277/2187] Loss_D: 0.3874 Loss_G: 2.5905 R1: 0.0338 R2: 0.0280 w_avg: [ 0.2803, 0.3246, 0.2588, ..., -0.1057, 0.0429, 0.0735]
INFO:root:[1][278/2187] Loss_D: 0.3402 Loss_G: 2.2331 R1: 0.0443 R2: 0.0312 w_avg: [ 0.2805, 0.3250, 0.2593, ..., -0.1056, 0.0428, 0.0734]
INFO:root:[1][279/2187] Loss_D: 0.4319 Loss_G: 2.1685 R1: 0.0351 R2: 0.0302 w_avg: [ 0.2798, 0.3245, 0.2592, ..., -0.1055, 0.0428, 0.0731]
INFO:root:[1][280/2187] Loss_D: 0.2976 Loss_G: 2.4722 R1: 0.0385 R2: 0.0199 w_avg: [ 0.2803, 0.3249, 0.2593, ..., -0.1054, 0.0426, 0.0729]
INFO:root:[1][281/2187] Loss_D: 0.4280 Loss_G: 2.2358 R1: 0.0385 R2: 0.0238 w_avg: [ 0.2802, 0.3242, 0.2592, ..., -0.1056, 0.0426, 0.0727]
INFO:root:[1][282/2187] Loss_D: 0.3678 Loss_G: 1.9871 R1: 0.0455 R2: 0.0373 w_avg: [ 0.2803, 0.3243, 0.2598, ..., -0.1058, 0.0425, 0.0724]
INFO:root:[1][283/2187] Loss_D: 0.2277 Loss_G: 2.1361 R1: 0.0442 R2: 0.0285 w_avg: [ 0.2809, 0.3252, 0.2599, ..., -0.1059, 0.0422, 0.0722]
INFO:root:[1][284/2187] Loss_D: 0.2529 Loss_G: 3.1033 R1: 0.0405 R2: 0.0302 w_avg: [ 0.2810, 0.3253, 0.2600, ..., -0.1060, 0.0424, 0.0725]
INFO:root:[1][285/2187] Loss_D: 0.2155 Loss_G: 2.5047 R1: 0.0391 R2: 0.0368 w_avg: [ 0.2809, 0.3248, 0.2598, ..., -0.1059, 0.0425, 0.0725]
INFO:root:[1][286/2187] Loss_D: 0.2599 Loss_G: 2.6934 R1: 0.0426 R2: 0.0306 w_avg: [ 0.2804, 0.3250, 0.2595, ..., -0.1062, 0.0423, 0.0722]
INFO:root:[1][287/2187] Loss_D: 0.2645 Loss_G: 2.2379 R1: 0.0485 R2: 0.0370 w_avg: [ 0.2803, 0.3251, 0.2592, ..., -0.1063, 0.0422, 0.0721]
INFO:root:[1][288/2187] Loss_D: 0.1798 Loss_G: 2.5129 R1: 0.0452 R2: 0.0217 w_avg: [ 0.2797, 0.3248, 0.2586, ..., -0.1062, 0.0420, 0.0721]
INFO:root:[1][289/2187] Loss_D: 0.4024 Loss_G: 3.5153 R1: 0.0479 R2: 0.0348 w_avg: [ 0.2798, 0.3243, 0.2582, ..., -0.1062, 0.0425, 0.0721]
INFO:root:[1][290/2187] Loss_D: 0.2400 Loss_G: 3.0912 R1: 0.0454 R2: 0.0205 w_avg: [ 0.2797, 0.3249, 0.2585, ..., -0.1063, 0.0426, 0.0723]
INFO:root:[1][291/2187] Loss_D: 0.3700 Loss_G: 2.8765 R1: 0.0535 R2: 0.0629 w_avg: [ 0.2795, 0.3251, 0.2583, ..., -0.1063, 0.0424, 0.0724]
INFO:root:[1][292/2187] Loss_D: 0.4546 Loss_G: 3.4081 R1: 0.0429 R2: 0.0438 w_avg: [ 0.2793, 0.3248, 0.2579, ..., -0.1065, 0.0424, 0.0726]
INFO:root:[1][293/2187] Loss_D: 0.4538 Loss_G: 2.2811 R1: 0.0392 R2: 0.0366 w_avg: [ 0.2796, 0.3245, 0.2580, ..., -0.1066, 0.0422, 0.0729]
INFO:root:[1][294/2187] Loss_D: 0.2153 Loss_G: 2.2051 R1: 0.0327 R2: 0.0221 w_avg: [ 0.2794, 0.3244, 0.2582, ..., -0.1069, 0.0424, 0.0727]
INFO:root:[1][295/2187] Loss_D: 0.3042 Loss_G: 2.0680 R1: 0.0369 R2: 0.0289 w_avg: [ 0.2791, 0.3246, 0.2583, ..., -0.1069, 0.0422, 0.0725]
INFO:root:[1][296/2187] Loss_D: 0.5840 Loss_G: 2.8100 R1: 0.0324 R2: 0.0304 w_avg: [ 0.2794, 0.3242, 0.2581, ..., -0.1068, 0.0420, 0.0723]
INFO:root:[1][297/2187] Loss_D: 0.3416 Loss_G: 2.0927 R1: 0.0327 R2: 0.0318 w_avg: [ 0.2791, 0.3244, 0.2582, ..., -0.1067, 0.0421, 0.0725]
INFO:root:[1][298/2187] Loss_D: 0.2973 Loss_G: 3.6418 R1: 0.0340 R2: 0.0329 w_avg: [ 0.2792, 0.3241, 0.2587, ..., -0.1068, 0.0421, 0.0722]
INFO:root:[1][299/2187] Loss_D: 0.2223 Loss_G: 2.6954 R1: 0.0354 R2: 0.0393 w_avg: [ 0.2794, 0.3240, 0.2583, ..., -0.1065, 0.0421, 0.0725]
INFO:root:[1][300/2187] Loss_D: 0.3323 Loss_G: 2.6279 R1: 0.0365 R2: 0.0402 w_avg: [ 0.2791, 0.3239, 0.2586, ..., -0.1066, 0.0423, 0.0725]
INFO:root:[1][301/2187] Loss_D: 0.3570 Loss_G: 2.7486 R1: 0.0358 R2: 0.0383 w_avg: [ 0.2792, 0.3235, 0.2584, ..., -0.1067, 0.0425, 0.0722]
INFO:root:[1][302/2187] Loss_D: 0.4816 Loss_G: 2.1239 R1: 0.0404 R2: 0.0404 w_avg: [ 0.2790, 0.3238, 0.2587, ..., -0.1066, 0.0422, 0.0723]
INFO:root:[1][303/2187] Loss_D: 0.4257 Loss_G: 2.3847 R1: 0.0306 R2: 0.0313 w_avg: [ 0.2785, 0.3238, 0.2582, ..., -0.1066, 0.0424, 0.0719]
INFO:root:[1][304/2187] Loss_D: 0.4829 Loss_G: 2.0669 R1: 0.0309 R2: 0.0386 w_avg: [ 0.2782, 0.3237, 0.2589, ..., -0.1068, 0.0427, 0.0717]
INFO:root:[1][305/2187] Loss_D: 0.3887 Loss_G: 2.3316 R1: 0.0344 R2: 0.0351 w_avg: [ 0.2781, 0.3236, 0.2589, ..., -0.1068, 0.0426, 0.0712]
INFO:root:[1][306/2187] Loss_D: 0.5534 Loss_G: 1.8540 R1: 0.0368 R2: 0.0261 w_avg: [ 0.2779, 0.3241, 0.2587, ..., -0.1068, 0.0423, 0.0714]
INFO:root:[1][307/2187] Loss_D: 0.3856 Loss_G: 2.1326 R1: 0.0359 R2: 0.0351 w_avg: [ 0.2782, 0.3245, 0.2584, ..., -0.1070, 0.0422, 0.0714]
INFO:root:[1][308/2187] Loss_D: 0.2680 Loss_G: 2.5081 R1: 0.0345 R2: 0.0258 w_avg: [ 0.2777, 0.3243, 0.2580, ..., -0.1067, 0.0418, 0.0713]
INFO:root:[1][309/2187] Loss_D: 0.3337 Loss_G: 2.7968 R1: 0.0384 R2: 0.0347 w_avg: [ 0.2778, 0.3254, 0.2586, ..., -0.1067, 0.0417, 0.0712]
INFO:root:[1][310/2187] Loss_D: 0.2566 Loss_G: 2.4587 R1: 0.0349 R2: 0.0298 w_avg: [ 0.2778, 0.3247, 0.2588, ..., -0.1068, 0.0418, 0.0713]
INFO:root:[1][311/2187] Loss_D: 0.4249 Loss_G: 1.8658 R1: 0.0399 R2: 0.0355 w_avg: [ 0.2776, 0.3245, 0.2592, ..., -0.1068, 0.0416, 0.0712]
INFO:root:[1][312/2187] Loss_D: 0.3174 Loss_G: 2.1768 R1: 0.0351 R2: 0.0338 w_avg: [ 0.2769, 0.3245, 0.2590, ..., -0.1064, 0.0415, 0.0712]
INFO:root:[1][313/2187] Loss_D: 0.3156 Loss_G: 2.4991 R1: 0.0384 R2: 0.0336 w_avg: [ 0.2770, 0.3245, 0.2594, ..., -0.1063, 0.0415, 0.0711]
INFO:root:[1][314/2187] Loss_D: 0.3697 Loss_G: 3.2381 R1: 0.0457 R2: 0.0416 w_avg: [ 0.2771, 0.3240, 0.2590, ..., -0.1063, 0.0417, 0.0711]
INFO:root:[1][315/2187] Loss_D: 0.3840 Loss_G: 2.1911 R1: 0.0453 R2: 0.0421 w_avg: [ 0.2780, 0.3238, 0.2589, ..., -0.1063, 0.0416, 0.0712]
INFO:root:[1][316/2187] Loss_D: 0.3774 Loss_G: 3.2975 R1: 0.0478 R2: 0.0396 w_avg: [ 0.2783, 0.3235, 0.2590, ..., -0.1063, 0.0415, 0.0712]
INFO:root:[1][317/2187] Loss_D: 0.4629 Loss_G: 2.7502 R1: 0.0454 R2: 0.0427 w_avg: [ 0.2785, 0.3234, 0.2595, ..., -0.1062, 0.0416, 0.0712]
INFO:root:[1][318/2187] Loss_D: 0.3549 Loss_G: 2.4171 R1: 0.0437 R2: 0.0340 w_avg: [ 0.2785, 0.3231, 0.2591, ..., -0.1062, 0.0414, 0.0709]
INFO:root:[1][319/2187] Loss_D: 0.2805 Loss_G: 2.9353 R1: 0.0464 R2: 0.0369 w_avg: [ 0.2783, 0.3230, 0.2588, ..., -0.1060, 0.0411, 0.0708]
INFO:root:[1][320/2187] Loss_D: 0.3264 Loss_G: 2.0184 R1: 0.0435 R2: 0.0323 w_avg: [ 0.2780, 0.3227, 0.2588, ..., -0.1060, 0.0411, 0.0707]
INFO:root:[1][321/2187] Loss_D: 0.2818 Loss_G: 2.5306 R1: 0.0388 R2: 0.0346 w_avg: [ 0.2782, 0.3226, 0.2585, ..., -0.1061, 0.0412, 0.0708]
INFO:root:[1][322/2187] Loss_D: 0.4174 Loss_G: 2.4021 R1: 0.0375 R2: 0.0372 w_avg: [ 0.2781, 0.3225, 0.2587, ..., -0.1062, 0.0412, 0.0707]
INFO:root:[1][323/2187] Loss_D: 0.3976 Loss_G: 2.4793 R1: 0.0428 R2: 0.0331 w_avg: [ 0.2780, 0.3224, 0.2586, ..., -0.1064, 0.0414, 0.0706]
INFO:root:[1][324/2187] Loss_D: 0.4473 Loss_G: 2.2106 R1: 0.0406 R2: 0.0320 w_avg: [ 0.2778, 0.3222, 0.2582, ..., -0.1065, 0.0415, 0.0704]
INFO:root:[1][325/2187] Loss_D: 0.3511 Loss_G: 2.3396 R1: 0.0389 R2: 0.0306 w_avg: [ 0.2777, 0.3222, 0.2577, ..., -0.1066, 0.0416, 0.0704]
INFO:root:[1][326/2187] Loss_D: 0.3149 Loss_G: 2.4287 R1: 0.0388 R2: 0.0289 w_avg: [ 0.2775, 0.3222, 0.2576, ..., -0.1066, 0.0418, 0.0703]
INFO:root:[1][327/2187] Loss_D: 0.2722 Loss_G: 2.0500 R1: 0.0346 R2: 0.0319 w_avg: [ 0.2779, 0.3222, 0.2572, ..., -0.1067, 0.0420, 0.0704]
INFO:root:[1][328/2187] Loss_D: 0.2343 Loss_G: 2.3945 R1: 0.0422 R2: 0.0268 w_avg: [ 0.2778, 0.3222, 0.2570, ..., -0.1066, 0.0417, 0.0703]
INFO:root:[1][329/2187] Loss_D: 0.3461 Loss_G: 2.1730 R1: 0.0392 R2: 0.0359 w_avg: [ 0.2775, 0.3222, 0.2569, ..., -0.1067, 0.0418, 0.0704]
INFO:root:[1][330/2187] Loss_D: 0.5157 Loss_G: 2.9537 R1: 0.0457 R2: 0.0312 w_avg: [ 0.2782, 0.3221, 0.2569, ..., -0.1065, 0.0416, 0.0702]
INFO:root:[1][331/2187] Loss_D: 0.3862 Loss_G: 2.7585 R1: 0.0415 R2: 0.0374 w_avg: [ 0.2780, 0.3223, 0.2565, ..., -0.1064, 0.0415, 0.0705]
INFO:root:[1][332/2187] Loss_D: 0.3042 Loss_G: 2.6552 R1: 0.0411 R2: 0.0327 w_avg: [ 0.2779, 0.3220, 0.2561, ..., -0.1062, 0.0413, 0.0702]
INFO:root:[1][333/2187] Loss_D: 0.3882 Loss_G: 2.2779 R1: 0.0415 R2: 0.0342 w_avg: [ 0.2775, 0.3219, 0.2562, ..., -0.1063, 0.0414, 0.0701]
INFO:root:[1][334/2187] Loss_D: 0.3984 Loss_G: 2.4125 R1: 0.0394 R2: 0.0336 w_avg: [ 0.2775, 0.3219, 0.2560, ..., -0.1063, 0.0419, 0.0699]
INFO:root:[1][335/2187] Loss_D: 0.3404 Loss_G: 2.1319 R1: 0.0420 R2: 0.0426 w_avg: [ 0.2777, 0.3215, 0.2556, ..., -0.1062, 0.0419, 0.0696]
INFO:root:[1][336/2187] Loss_D: 0.2831 Loss_G: 2.2707 R1: 0.0450 R2: 0.0386 w_avg: [ 0.2778, 0.3211, 0.2554, ..., -0.1064, 0.0423, 0.0695]
INFO:root:[1][337/2187] Loss_D: 0.3769 Loss_G: 2.5887 R1: 0.0453 R2: 0.0378 w_avg: [ 0.2774, 0.3208, 0.2558, ..., -0.1065, 0.0425, 0.0695]
INFO:root:[1][338/2187] Loss_D: 0.2578 Loss_G: 2.6120 R1: 0.0387 R2: 0.0352 w_avg: [ 0.2776, 0.3210, 0.2555, ..., -0.1066, 0.0422, 0.0693]
INFO:root:[1][339/2187] Loss_D: 0.2281 Loss_G: 2.5158 R1: 0.0467 R2: 0.0257 w_avg: [ 0.2775, 0.3210, 0.2550, ..., -0.1064, 0.0421, 0.0695]
INFO:root:[1][340/2187] Loss_D: 0.2084 Loss_G: 2.8937 R1: 0.0431 R2: 0.0374 w_avg: [ 0.2775, 0.3206, 0.2549, ..., -0.1063, 0.0424, 0.0694]
INFO:root:[1][341/2187] Loss_D: 0.2760 Loss_G: 2.0856 R1: 0.0429 R2: 0.0384 w_avg: [ 0.2775, 0.3209, 0.2547, ..., -0.1064, 0.0422, 0.0695]
INFO:root:[1][342/2187] Loss_D: 0.4308 Loss_G: 2.7553 R1: 0.0475 R2: 0.0349 w_avg: [ 0.2775, 0.3206, 0.2544, ..., -0.1065, 0.0423, 0.0694]
INFO:root:[1][343/2187] Loss_D: 0.3220 Loss_G: 2.2690 R1: 0.0414 R2: 0.0400 w_avg: [ 0.2774, 0.3200, 0.2540, ..., -0.1065, 0.0422, 0.0690]
INFO:root:[1][344/2187] Loss_D: 0.3433 Loss_G: 1.9753 R1: 0.0429 R2: 0.0368 w_avg: [ 0.2768, 0.3199, 0.2540, ..., -0.1065, 0.0425, 0.0692]
INFO:root:[1][345/2187] Loss_D: 0.3670 Loss_G: 2.2062 R1: 0.0418 R2: 0.0368 w_avg: [ 0.2766, 0.3202, 0.2537, ..., -0.1065, 0.0426, 0.0691]
INFO:root:[1][346/2187] Loss_D: 0.4036 Loss_G: 1.8069 R1: 0.0460 R2: 0.0382 w_avg: [ 0.2767, 0.3202, 0.2535, ..., -0.1064, 0.0427, 0.0694]
INFO:root:[1][347/2187] Loss_D: 0.2820 Loss_G: 2.3992 R1: 0.0501 R2: 0.0315 w_avg: [ 0.2764, 0.3200, 0.2533, ..., -0.1064, 0.0428, 0.0693]
INFO:root:[1][348/2187] Loss_D: 0.2959 Loss_G: 1.5040 R1: 0.0460 R2: 0.0433 w_avg: [ 0.2759, 0.3196, 0.2536, ..., -0.1066, 0.0427, 0.0689]
INFO:root:[1][349/2187] Loss_D: 0.4777 Loss_G: 1.8621 R1: 0.0455 R2: 0.0455 w_avg: [ 0.2755, 0.3194, 0.2533, ..., -0.1067, 0.0426, 0.0688]
INFO:root:[1][350/2187] Loss_D: 0.2807 Loss_G: 2.0398 R1: 0.0392 R2: 0.0440 w_avg: [ 0.2753, 0.3195, 0.2533, ..., -0.1069, 0.0426, 0.0687]
INFO:root:[1][351/2187] Loss_D: 0.3231 Loss_G: 1.8705 R1: 0.0453 R2: 0.0445 w_avg: [ 0.2751, 0.3193, 0.2531, ..., -0.1070, 0.0428, 0.0688]
INFO:root:[1][352/2187] Loss_D: 0.2295 Loss_G: 1.9613 R1: 0.0464 R2: 0.0402 w_avg: [ 0.2751, 0.3193, 0.2534, ..., -0.1068, 0.0428, 0.0688]
INFO:root:[1][353/2187] Loss_D: 0.2557 Loss_G: 2.4842 R1: 0.0478 R2: 0.0328 w_avg: [ 0.2754, 0.3193, 0.2537, ..., -0.1070, 0.0426, 0.0686]
INFO:root:[1][354/2187] Loss_D: 0.2070 Loss_G: 1.8494 R1: 0.0440 R2: 0.0273 w_avg: [ 0.2750, 0.3190, 0.2537, ..., -0.1071, 0.0427, 0.0685]
INFO:root:[1][355/2187] Loss_D: 0.3340 Loss_G: 2.4806 R1: 0.0536 R2: 0.0358 w_avg: [ 0.2748, 0.3187, 0.2535, ..., -0.1071, 0.0426, 0.0683]
INFO:root:[1][356/2187] Loss_D: 0.4945 Loss_G: 2.4283 R1: 0.0536 R2: 0.0389 w_avg: [ 0.2746, 0.3188, 0.2534, ..., -0.1071, 0.0428, 0.0682]
INFO:root:[1][357/2187] Loss_D: 0.4994 Loss_G: 2.3549 R1: 0.0441 R2: 0.0416 w_avg: [ 0.2742, 0.3182, 0.2534, ..., -0.1070, 0.0427, 0.0679]
INFO:root:[1][358/2187] Loss_D: 0.3519 Loss_G: 2.3438 R1: 0.0446 R2: 0.0396 w_avg: [ 0.2746, 0.3182, 0.2535, ..., -0.1070, 0.0429, 0.0680]
INFO:root:[1][359/2187] Loss_D: 0.3184 Loss_G: 2.2088 R1: 0.0413 R2: 0.0397 w_avg: [ 0.2749, 0.3186, 0.2532, ..., -0.1069, 0.0427, 0.0680]
INFO:root:[1][360/2187] Loss_D: 0.2475 Loss_G: 2.3028 R1: 0.0369 R2: 0.0233 w_avg: [ 0.2747, 0.3186, 0.2535, ..., -0.1069, 0.0431, 0.0677]
INFO:root:[1][361/2187] Loss_D: 0.3149 Loss_G: 2.5473 R1: 0.0384 R2: 0.0312 w_avg: [ 0.2750, 0.3186, 0.2538, ..., -0.1067, 0.0433, 0.0677]
INFO:root:[1][362/2187] Loss_D: 0.3810 Loss_G: 2.4856 R1: 0.0389 R2: 0.0252 w_avg: [ 0.2750, 0.3190, 0.2536, ..., -0.1068, 0.0435, 0.0676]
INFO:root:[1][363/2187] Loss_D: 0.3106 Loss_G: 2.1410 R1: 0.0403 R2: 0.0390 w_avg: [ 0.2748, 0.3188, 0.2540, ..., -0.1070, 0.0433, 0.0678]
INFO:root:[1][364/2187] Loss_D: 0.3069 Loss_G: 1.6651 R1: 0.0419 R2: 0.0381 w_avg: [ 0.2746, 0.3190, 0.2540, ..., -0.1069, 0.0433, 0.0677]
INFO:root:[1][365/2187] Loss_D: 0.3114 Loss_G: 1.7578 R1: 0.0430 R2: 0.0313 w_avg: [ 0.2745, 0.3192, 0.2537, ..., -0.1071, 0.0432, 0.0677]
INFO:root:[1][366/2187] Loss_D: 0.6169 Loss_G: 2.5462 R1: 0.0369 R2: 0.0391 w_avg: [ 0.2742, 0.3190, 0.2537, ..., -0.1071, 0.0430, 0.0675]
INFO:root:[1][367/2187] Loss_D: 0.3518 Loss_G: 2.8334 R1: 0.0389 R2: 0.0199 w_avg: [ 0.2742, 0.3191, 0.2535, ..., -0.1071, 0.0430, 0.0676]
INFO:root:[1][368/2187] Loss_D: 0.2512 Loss_G: 2.5921 R1: 0.0505 R2: 0.0351 w_avg: [ 0.2744, 0.3196, 0.2538, ..., -0.1072, 0.0429, 0.0676]
INFO:root:[1][369/2187] Loss_D: 0.2484 Loss_G: 3.2001 R1: 0.0486 R2: 0.0373 w_avg: [ 0.2749, 0.3195, 0.2538, ..., -0.1075, 0.0428, 0.0677]
INFO:root:[1][370/2187] Loss_D: 0.3993 Loss_G: 2.8700 R1: 0.0478 R2: 0.0523 w_avg: [ 0.2751, 0.3191, 0.2538, ..., -0.1075, 0.0431, 0.0680]
INFO:root:[1][371/2187] Loss_D: 0.2594 Loss_G: 2.0944 R1: 0.0517 R2: 0.0447 w_avg: [ 0.2748, 0.3194, 0.2538, ..., -0.1076, 0.0432, 0.0679]
INFO:root:[1][372/2187] Loss_D: 0.4355 Loss_G: 1.9647 R1: 0.0529 R2: 0.0481 w_avg: [ 0.2748, 0.3197, 0.2538, ..., -0.1076, 0.0431, 0.0684]
INFO:root:[1][373/2187] Loss_D: 0.4155 Loss_G: 2.7985 R1: 0.0409 R2: 0.0342 w_avg: [ 0.2742, 0.3192, 0.2531, ..., -0.1073, 0.0430, 0.0684]
INFO:root:[1][374/2187] Loss_D: 0.2292 Loss_G: 2.1771 R1: 0.0496 R2: 0.0224 w_avg: [ 0.2741, 0.3195, 0.2532, ..., -0.1074, 0.0427, 0.0682]
INFO:root:[1][375/2187] Loss_D: 0.4178 Loss_G: 2.9326 R1: 0.0443 R2: 0.0357 w_avg: [ 0.2741, 0.3192, 0.2533, ..., -0.1071, 0.0425, 0.0681]
INFO:root:[1][376/2187] Loss_D: 0.3220 Loss_G: 2.4653 R1: 0.0435 R2: 0.0313 w_avg: [ 0.2740, 0.3194, 0.2538, ..., -0.1069, 0.0423, 0.0679]
INFO:root:[1][377/2187] Loss_D: 0.3725 Loss_G: 2.1195 R1: 0.0476 R2: 0.0384 w_avg: [ 0.2737, 0.3189, 0.2538, ..., -0.1068, 0.0429, 0.0678]
INFO:root:[1][378/2187] Loss_D: 0.3562 Loss_G: 2.6255 R1: 0.0416 R2: 0.0284 w_avg: [ 0.2734, 0.3187, 0.2540, ..., -0.1070, 0.0430, 0.0676]
INFO:root:[1][379/2187] Loss_D: 0.2848 Loss_G: 2.5849 R1: 0.0355 R2: 0.0430 w_avg: [ 0.2731, 0.3185, 0.2537, ..., -0.1069, 0.0428, 0.0674]
INFO:root:[1][380/2187] Loss_D: 0.4429 Loss_G: 2.5734 R1: 0.0390 R2: 0.0409 w_avg: [ 0.2732, 0.3183, 0.2534, ..., -0.1070, 0.0428, 0.0673]
INFO:root:[1][381/2187] Loss_D: 0.1923 Loss_G: 2.8522 R1: 0.0410 R2: 0.0446 w_avg: [ 0.2732, 0.3177, 0.2532, ..., -0.1070, 0.0433, 0.0670]
INFO:root:[1][382/2187] Loss_D: 0.2705 Loss_G: 3.3086 R1: 0.0398 R2: 0.0436 w_avg: [ 0.2730, 0.3176, 0.2531, ..., -0.1069, 0.0433, 0.0671]
INFO:root:[1][383/2187] Loss_D: 0.1811 Loss_G: 2.2796 R1: 0.0427 R2: 0.0499 w_avg: [ 0.2732, 0.3182, 0.2527, ..., -0.1071, 0.0433, 0.0672]
INFO:root:[1][384/2187] Loss_D: 0.3366 Loss_G: 2.9515 R1: 0.0496 R2: 0.0390 w_avg: [ 0.2730, 0.3178, 0.2522, ..., -0.1071, 0.0435, 0.0674]
INFO:root:[1][385/2187] Loss_D: 0.2118 Loss_G: 3.0556 R1: 0.0411 R2: 0.0281 w_avg: [ 0.2728, 0.3175, 0.2517, ..., -0.1072, 0.0436, 0.0673]
INFO:root:[1][386/2187] Loss_D: 0.2366 Loss_G: 2.3187 R1: 0.0379 R2: 0.0269 w_avg: [ 0.2723, 0.3178, 0.2517, ..., -0.1074, 0.0434, 0.0672]
INFO:root:[1][387/2187] Loss_D: 0.2489 Loss_G: 2.4923 R1: 0.0423 R2: 0.0361 w_avg: [ 0.2719, 0.3178, 0.2519, ..., -0.1074, 0.0432, 0.0676]
INFO:root:[1][388/2187] Loss_D: 0.2218 Loss_G: 2.4754 R1: 0.0414 R2: 0.0343 w_avg: [ 0.2716, 0.3179, 0.2520, ..., -0.1075, 0.0436, 0.0675]
INFO:root:[1][389/2187] Loss_D: 0.2196 Loss_G: 2.3117 R1: 0.0419 R2: 0.0360 w_avg: [ 0.2721, 0.3179, 0.2517, ..., -0.1075, 0.0433, 0.0677]
INFO:root:[1][390/2187] Loss_D: 0.4787 Loss_G: 3.0760 R1: 0.0423 R2: 0.0421 w_avg: [ 0.2721, 0.3180, 0.2516, ..., -0.1077, 0.0437, 0.0676]
INFO:root:[1][391/2187] Loss_D: 0.2840 Loss_G: 2.2616 R1: 0.0412 R2: 0.0320 w_avg: [ 0.2722, 0.3181, 0.2513, ..., -0.1078, 0.0434, 0.0675]
INFO:root:[1][392/2187] Loss_D: 0.2901 Loss_G: 3.0631 R1: 0.0426 R2: 0.0332 w_avg: [ 0.2721, 0.3181, 0.2512, ..., -0.1074, 0.0436, 0.0674]
INFO:root:[1][393/2187] Loss_D: 0.3575 Loss_G: 2.2965 R1: 0.0384 R2: 0.0293 w_avg: [ 0.2718, 0.3179, 0.2509, ..., -0.1076, 0.0435, 0.0678]
INFO:root:[1][394/2187] Loss_D: 0.4504 Loss_G: 2.3082 R1: 0.0317 R2: 0.0389 w_avg: [ 0.2720, 0.3178, 0.2508, ..., -0.1077, 0.0437, 0.0677]
INFO:root:[1][395/2187] Loss_D: 0.2450 Loss_G: 2.2722 R1: 0.0476 R2: 0.0310 w_avg: [ 0.2719, 0.3178, 0.2506, ..., -0.1075, 0.0433, 0.0677]
INFO:root:[1][396/2187] Loss_D: 0.4332 Loss_G: 3.1385 R1: 0.0440 R2: 0.0332 w_avg: [ 0.2717, 0.3177, 0.2501, ..., -0.1078, 0.0435, 0.0680]
INFO:root:[1][397/2187] Loss_D: 0.2558 Loss_G: 3.2873 R1: 0.0474 R2: 0.0410 w_avg: [ 0.2711, 0.3176, 0.2498, ..., -0.1078, 0.0435, 0.0680]
INFO:root:[1][398/2187] Loss_D: 0.3456 Loss_G: 2.5562 R1: 0.0516 R2: 0.0571 w_avg: [ 0.2711, 0.3175, 0.2501, ..., -0.1078, 0.0434, 0.0677]
INFO:root:[1][399/2187] Loss_D: 0.3223 Loss_G: 2.7569 R1: 0.0545 R2: 0.0500 w_avg: [ 0.2707, 0.3170, 0.2498, ..., -0.1080, 0.0437, 0.0678]
INFO:root:[1][400/2187] Loss_D: 0.2509 Loss_G: 2.9030 R1: 0.0476 R2: 0.0407 w_avg: [ 0.2708, 0.3171, 0.2500, ..., -0.1079, 0.0435, 0.0681]
INFO:root:[1][401/2187] Loss_D: 0.4124 Loss_G: 2.3345 R1: 0.0436 R2: 0.0445 w_avg: [ 0.2708, 0.3166, 0.2501, ..., -0.1080, 0.0432, 0.0681]
INFO:root:[1][402/2187] Loss_D: 0.2945 Loss_G: 2.2927 R1: 0.0467 R2: 0.0354 w_avg: [ 0.2707, 0.3165, 0.2498, ..., -0.1081, 0.0431, 0.0681]
INFO:root:[1][403/2187] Loss_D: 0.4076 Loss_G: 2.4675 R1: 0.0446 R2: 0.0383 w_avg: [ 0.2710, 0.3168, 0.2496, ..., -0.1082, 0.0432, 0.0682]
INFO:root:[1][404/2187] Loss_D: 0.3403 Loss_G: 3.1213 R1: 0.0428 R2: 0.0351 w_avg: [ 0.2709, 0.3164, 0.2496, ..., -0.1081, 0.0436, 0.0682]
INFO:root:[1][405/2187] Loss_D: 0.2509 Loss_G: 2.6985 R1: 0.0375 R2: 0.0399 w_avg: [ 0.2713, 0.3163, 0.2496, ..., -0.1081, 0.0437, 0.0681]
INFO:root:[1][406/2187] Loss_D: 0.2296 Loss_G: 2.9204 R1: 0.0424 R2: 0.0374 w_avg: [ 0.2709, 0.3160, 0.2495, ..., -0.1082, 0.0435, 0.0679]
INFO:root:[1][407/2187] Loss_D: 0.2365 Loss_G: 3.2076 R1: 0.0441 R2: 0.0378 w_avg: [ 0.2716, 0.3169, 0.2496, ..., -0.1083, 0.0434, 0.0681]
INFO:root:[1][408/2187] Loss_D: 0.2383 Loss_G: 2.5900 R1: 0.0428 R2: 0.0370 w_avg: [ 0.2713, 0.3168, 0.2497, ..., -0.1083, 0.0436, 0.0681]
INFO:root:[1][409/2187] Loss_D: 0.3107 Loss_G: 2.0947 R1: 0.0407 R2: 0.0489 w_avg: [ 0.2709, 0.3166, 0.2500, ..., -0.1080, 0.0436, 0.0679]
INFO:root:[1][410/2187] Loss_D: 0.5796 Loss_G: 2.3825 R1: 0.0350 R2: 0.0387 w_avg: [ 0.2706, 0.3166, 0.2495, ..., -0.1081, 0.0435, 0.0681]
INFO:root:[1][411/2187] Loss_D: 0.3647 Loss_G: 2.5149 R1: 0.0396 R2: 0.0334 w_avg: [ 0.2704, 0.3166, 0.2492, ..., -0.1080, 0.0433, 0.0680]
INFO:root:[1][412/2187] Loss_D: 0.2980 Loss_G: 2.3939 R1: 0.0333 R2: 0.0339 w_avg: [ 0.2705, 0.3169, 0.2492, ..., -0.1080, 0.0434, 0.0679]
INFO:root:[1][413/2187] Loss_D: 0.3507 Loss_G: 2.1840 R1: 0.0307 R2: 0.0349 w_avg: [ 0.2707, 0.3168, 0.2493, ..., -0.1080, 0.0434, 0.0679]
INFO:root:[1][414/2187] Loss_D: 0.2660 Loss_G: 2.0796 R1: 0.0341 R2: 0.0299 w_avg: [ 0.2703, 0.3166, 0.2495, ..., -0.1081, 0.0435, 0.0678]
INFO:root:[1][415/2187] Loss_D: 0.4606 Loss_G: 2.1194 R1: 0.0324 R2: 0.0373 w_avg: [ 0.2700, 0.3166, 0.2492, ..., -0.1081, 0.0436, 0.0677]
INFO:root:[1][416/2187] Loss_D: 0.2998 Loss_G: 2.4725 R1: 0.0388 R2: 0.0302 w_avg: [ 0.2702, 0.3164, 0.2495, ..., -0.1079, 0.0432, 0.0678]
INFO:root:[1][417/2187] Loss_D: 0.2086 Loss_G: 3.4313 R1: 0.0481 R2: 0.0415 w_avg: [ 0.2700, 0.3161, 0.2493, ..., -0.1080, 0.0432, 0.0676]
INFO:root:[1][418/2187] Loss_D: 0.2389 Loss_G: 3.1784 R1: 0.0371 R2: 0.0325 w_avg: [ 0.2697, 0.3158, 0.2495, ..., -0.1081, 0.0434, 0.0677]
INFO:root:[1][419/2187] Loss_D: 0.1653 Loss_G: 2.3212 R1: 0.0411 R2: 0.0307 w_avg: [ 0.2695, 0.3159, 0.2494, ..., -0.1083, 0.0439, 0.0672]
INFO:root:[1][420/2187] Loss_D: 0.3630 Loss_G: 3.0195 R1: 0.0383 R2: 0.0331 w_avg: [ 0.2697, 0.3163, 0.2497, ..., -0.1083, 0.0439, 0.0674]
INFO:root:[1][421/2187] Loss_D: 0.4142 Loss_G: 1.9684 R1: 0.0426 R2: 0.0378 w_avg: [ 0.2696, 0.3162, 0.2497, ..., -0.1083, 0.0441, 0.0673]
INFO:root:[1][422/2187] Loss_D: 0.4076 Loss_G: 2.4647 R1: 0.0397 R2: 0.0397 w_avg: [ 0.2693, 0.3167, 0.2492, ..., -0.1081, 0.0439, 0.0672]
INFO:root:[1][423/2187] Loss_D: 0.3066 Loss_G: 2.4378 R1: 0.0427 R2: 0.0286 w_avg: [ 0.2693, 0.3162, 0.2493, ..., -0.1082, 0.0438, 0.0669]
INFO:root:[1][424/2187] Loss_D: 0.3090 Loss_G: 2.7631 R1: 0.0366 R2: 0.0272 w_avg: [ 0.2693, 0.3164, 0.2495, ..., -0.1083, 0.0436, 0.0666]
INFO:root:[1][425/2187] Loss_D: 0.3606 Loss_G: 2.3752 R1: 0.0346 R2: 0.0448 w_avg: [ 0.2691, 0.3162, 0.2494, ..., -0.1082, 0.0437, 0.0666]
INFO:root:[1][426/2187] Loss_D: 0.2103 Loss_G: 2.2198 R1: 0.0385 R2: 0.0273 w_avg: [ 0.2692, 0.3158, 0.2498, ..., -0.1083, 0.0436, 0.0662]
INFO:root:[1][427/2187] Loss_D: 0.4170 Loss_G: 2.0738 R1: 0.0370 R2: 0.0433 w_avg: [ 0.2693, 0.3159, 0.2499, ..., -0.1082, 0.0436, 0.0661]
INFO:root:[1][428/2187] Loss_D: 0.3314 Loss_G: 2.4402 R1: 0.0346 R2: 0.0341 w_avg: [ 0.2689, 0.3154, 0.2497, ..., -0.1084, 0.0434, 0.0658]
INFO:root:[1][429/2187] Loss_D: 0.3138 Loss_G: 2.7562 R1: 0.0337 R2: 0.0273 w_avg: [ 0.2685, 0.3158, 0.2492, ..., -0.1084, 0.0433, 0.0661]
INFO:root:[1][430/2187] Loss_D: 0.3666 Loss_G: 2.5630 R1: 0.0406 R2: 0.0336 w_avg: [ 0.2683, 0.3159, 0.2487, ..., -0.1083, 0.0435, 0.0662]
INFO:root:[1][431/2187] Loss_D: 0.3699 Loss_G: 2.3602 R1: 0.0473 R2: 0.0363 w_avg: [ 0.2680, 0.3158, 0.2488, ..., -0.1082, 0.0435, 0.0661]
INFO:root:[1][432/2187] Loss_D: 0.4060 Loss_G: 2.1180 R1: 0.0412 R2: 0.0406 w_avg: [ 0.2678, 0.3160, 0.2486, ..., -0.1082, 0.0434, 0.0659]
INFO:root:[1][433/2187] Loss_D: 0.3187 Loss_G: 3.1399 R1: 0.0378 R2: 0.0341 w_avg: [ 0.2674, 0.3158, 0.2488, ..., -0.1083, 0.0437, 0.0660]
INFO:root:[1][434/2187] Loss_D: 0.2702 Loss_G: 1.9503 R1: 0.0452 R2: 0.0348 w_avg: [ 0.2671, 0.3153, 0.2486, ..., -0.1082, 0.0438, 0.0657]
INFO:root:[1][435/2187] Loss_D: 0.4061 Loss_G: 3.0910 R1: 0.0474 R2: 0.0409 w_avg: [ 0.2668, 0.3150, 0.2486, ..., -0.1083, 0.0439, 0.0657]
INFO:root:[1][436/2187] Loss_D: 0.2569 Loss_G: 2.0250 R1: 0.0468 R2: 0.0411 w_avg: [ 0.2667, 0.3151, 0.2484, ..., -0.1083, 0.0441, 0.0658]
INFO:root:[1][437/2187] Loss_D: 0.2726 Loss_G: 2.1712 R1: 0.0398 R2: 0.0401 w_avg: [ 0.2667, 0.3157, 0.2488, ..., -0.1084, 0.0438, 0.0657]
INFO:root:[1][438/2187] Loss_D: 0.3758 Loss_G: 2.2885 R1: 0.0376 R2: 0.0439 w_avg: [ 0.2670, 0.3153, 0.2487, ..., -0.1085, 0.0439, 0.0655]
INFO:root:[1][439/2187] Loss_D: 0.3591 Loss_G: 2.5986 R1: 0.0393 R2: 0.0376 w_avg: [ 0.2668, 0.3151, 0.2488, ..., -0.1086, 0.0441, 0.0654]
INFO:root:[1][440/2187] Loss_D: 0.4069 Loss_G: 2.3088 R1: 0.0410 R2: 0.0461 w_avg: [ 0.2667, 0.3153, 0.2487, ..., -0.1086, 0.0441, 0.0656]
INFO:root:[1][441/2187] Loss_D: 0.2384 Loss_G: 2.3972 R1: 0.0399 R2: 0.0349 w_avg: [ 0.2667, 0.3156, 0.2493, ..., -0.1087, 0.0444, 0.0653]
INFO:root:[1][442/2187] Loss_D: 0.3446 Loss_G: 2.5379 R1: 0.0384 R2: 0.0323 w_avg: [ 0.2668, 0.3155, 0.2490, ..., -0.1088, 0.0444, 0.0651]
INFO:root:[1][443/2187] Loss_D: 0.2171 Loss_G: 2.7114 R1: 0.0445 R2: 0.0460 w_avg: [ 0.2670, 0.3153, 0.2491, ..., -0.1085, 0.0441, 0.0652]
INFO:root:[1][444/2187] Loss_D: 0.2416 Loss_G: 2.4106 R1: 0.0400 R2: 0.0373 w_avg: [ 0.2670, 0.3154, 0.2490, ..., -0.1086, 0.0442, 0.0651]
INFO:root:[1][445/2187] Loss_D: 0.2364 Loss_G: 2.9867 R1: 0.0414 R2: 0.0309 w_avg: [ 0.2674, 0.3154, 0.2495, ..., -0.1087, 0.0443, 0.0648]
INFO:root:[1][446/2187] Loss_D: 0.1960 Loss_G: 3.1462 R1: 0.0353 R2: 0.0310 w_avg: [ 0.2675, 0.3160, 0.2493, ..., -0.1087, 0.0442, 0.0645]
INFO:root:[1][447/2187] Loss_D: 0.4767 Loss_G: 2.6084 R1: 0.0357 R2: 0.0384 w_avg: [ 0.2673, 0.3164, 0.2493, ..., -0.1089, 0.0445, 0.0644]
INFO:root:[1][448/2187] Loss_D: 0.2927 Loss_G: 2.8718 R1: 0.0319 R2: 0.0356 w_avg: [ 0.2671, 0.3166, 0.2495, ..., -0.1088, 0.0447, 0.0645]
INFO:root:[1][449/2187] Loss_D: 0.2123 Loss_G: 2.8569 R1: 0.0333 R2: 0.0387 w_avg: [ 0.2672, 0.3162, 0.2497, ..., -0.1089, 0.0446, 0.0643]
INFO:root:[1][450/2187] Loss_D: 0.5934 Loss_G: 2.3235 R1: 0.0377 R2: 0.0397 w_avg: [ 0.2671, 0.3159, 0.2497, ..., -0.1090, 0.0444, 0.0641]
INFO:root:[1][451/2187] Loss_D: 0.4202 Loss_G: 2.0979 R1: 0.0481 R2: 0.0334 w_avg: [ 0.2667, 0.3157, 0.2496, ..., -0.1092, 0.0443, 0.0640]
INFO:root:[1][452/2187] Loss_D: 0.4359 Loss_G: 2.3634 R1: 0.0386 R2: 0.0382 w_avg: [ 0.2665, 0.3160, 0.2494, ..., -0.1093, 0.0441, 0.0640]
INFO:root:[1][453/2187] Loss_D: 0.3381 Loss_G: 2.5519 R1: 0.0377 R2: 0.0374 w_avg: [ 0.2665, 0.3163, 0.2495, ..., -0.1094, 0.0439, 0.0640]
INFO:root:[1][454/2187] Loss_D: 0.3403 Loss_G: 2.3458 R1: 0.0411 R2: 0.0348 w_avg: [ 0.2662, 0.3161, 0.2494, ..., -0.1094, 0.0436, 0.0638]
INFO:root:[1][455/2187] Loss_D: 0.1836 Loss_G: 2.7677 R1: 0.0380 R2: 0.0280 w_avg: [ 0.2657, 0.3157, 0.2493, ..., -0.1096, 0.0435, 0.0637]
INFO:root:[1][456/2187] Loss_D: 0.2322 Loss_G: 2.5384 R1: 0.0385 R2: 0.0377 w_avg: [ 0.2654, 0.3157, 0.2493, ..., -0.1095, 0.0438, 0.0637]
INFO:root:[1][457/2187] Loss_D: 0.2550 Loss_G: 2.0735 R1: 0.0421 R2: 0.0347 w_avg: [ 0.2655, 0.3154, 0.2491, ..., -0.1096, 0.0437, 0.0635]
INFO:root:[1][458/2187] Loss_D: 0.2048 Loss_G: 2.8297 R1: 0.0441 R2: 0.0382 w_avg: [ 0.2655, 0.3153, 0.2491, ..., -0.1096, 0.0439, 0.0633]
INFO:root:[1][459/2187] Loss_D: 0.2189 Loss_G: 2.6598 R1: 0.0425 R2: 0.0363 w_avg: [ 0.2659, 0.3150, 0.2494, ..., -0.1098, 0.0437, 0.0631]
INFO:root:[1][460/2187] Loss_D: 0.3245 Loss_G: 2.0667 R1: 0.0490 R2: 0.0396 w_avg: [ 0.2664, 0.3152, 0.2497, ..., -0.1097, 0.0438, 0.0630]
INFO:root:[1][461/2187] Loss_D: 0.3344 Loss_G: 2.5504 R1: 0.0475 R2: 0.0360 w_avg: [ 0.2665, 0.3149, 0.2497, ..., -0.1099, 0.0437, 0.0629]
INFO:root:[1][462/2187] Loss_D: 0.3403 Loss_G: 2.5566 R1: 0.0509 R2: 0.0389 w_avg: [ 0.2666, 0.3148, 0.2497, ..., -0.1095, 0.0438, 0.0627]
INFO:root:[1][463/2187] Loss_D: 0.3218 Loss_G: 2.7886 R1: 0.0515 R2: 0.0342 w_avg: [ 0.2668, 0.3150, 0.2500, ..., -0.1095, 0.0442, 0.0625]
INFO:root:[1][464/2187] Loss_D: 0.4199 Loss_G: 2.5566 R1: 0.0431 R2: 0.0341 w_avg: [ 0.2666, 0.3146, 0.2497, ..., -0.1096, 0.0443, 0.0625]
INFO:root:[1][465/2187] Loss_D: 0.1540 Loss_G: 2.9253 R1: 0.0438 R2: 0.0190 w_avg: [ 0.2663, 0.3146, 0.2493, ..., -0.1095, 0.0443, 0.0623]
INFO:root:[1][466/2187] Loss_D: 0.3043 Loss_G: 2.7358 R1: 0.0405 R2: 0.0270 w_avg: [ 0.2658, 0.3141, 0.2491, ..., -0.1095, 0.0444, 0.0620]
INFO:root:[1][467/2187] Loss_D: 0.3443 Loss_G: 2.3113 R1: 0.0431 R2: 0.0390 w_avg: [ 0.2661, 0.3142, 0.2489, ..., -0.1095, 0.0442, 0.0619]
INFO:root:[1][468/2187] Loss_D: 0.2630 Loss_G: 2.0519 R1: 0.0431 R2: 0.0385 w_avg: [ 0.2661, 0.3139, 0.2491, ..., -0.1096, 0.0440, 0.0617]
INFO:root:[1][469/2187] Loss_D: 0.6771 Loss_G: 2.6693 R1: 0.0460 R2: 0.0401 w_avg: [ 0.2661, 0.3141, 0.2492, ..., -0.1096, 0.0437, 0.0617]
INFO:root:[1][470/2187] Loss_D: 0.3127 Loss_G: 2.1033 R1: 0.0333 R2: 0.0168 w_avg: [ 0.2665, 0.3142, 0.2494, ..., -0.1094, 0.0437, 0.0616]
INFO:root:[1][471/2187] Loss_D: 0.4440 Loss_G: 2.4981 R1: 0.0373 R2: 0.0317 w_avg: [ 0.2669, 0.3150, 0.2500, ..., -0.1095, 0.0439, 0.0615]
INFO:root:[1][472/2187] Loss_D: 0.2728 Loss_G: 1.9765 R1: 0.0446 R2: 0.0326 w_avg: [ 0.2669, 0.3150, 0.2499, ..., -0.1096, 0.0441, 0.0611]
INFO:root:[1][473/2187] Loss_D: 0.3081 Loss_G: 1.9612 R1: 0.0478 R2: 0.0443 w_avg: [ 0.2669, 0.3157, 0.2498, ..., -0.1096, 0.0442, 0.0612]
INFO:root:[1][474/2187] Loss_D: 0.4324 Loss_G: 2.1940 R1: 0.0386 R2: 0.0377 w_avg: [ 0.2671, 0.3160, 0.2501, ..., -0.1098, 0.0440, 0.0613]
INFO:root:[1][475/2187] Loss_D: 0.4209 Loss_G: 2.0895 R1: 0.0402 R2: 0.0318 w_avg: [ 0.2668, 0.3156, 0.2500, ..., -0.1099, 0.0441, 0.0612]
INFO:root:[1][476/2187] Loss_D: 0.5191 Loss_G: 2.2564 R1: 0.0467 R2: 0.0362 w_avg: [ 0.2668, 0.3155, 0.2498, ..., -0.1099, 0.0439, 0.0611]
INFO:root:[1][477/2187] Loss_D: 0.3877 Loss_G: 2.3344 R1: 0.0413 R2: 0.0310 w_avg: [ 0.2667, 0.3153, 0.2495, ..., -0.1100, 0.0439, 0.0614]
INFO:root:[1][478/2187] Loss_D: 0.1822 Loss_G: 1.9050 R1: 0.0426 R2: 0.0187 w_avg: [ 0.2670, 0.3157, 0.2499, ..., -0.1100, 0.0442, 0.0613]
INFO:root:[1][479/2187] Loss_D: 0.2680 Loss_G: 1.8395 R1: 0.0429 R2: 0.0394 w_avg: [ 0.2667, 0.3155, 0.2499, ..., -0.1101, 0.0442, 0.0610]
INFO:root:[1][480/2187] Loss_D: 0.4099 Loss_G: 2.3743 R1: 0.0415 R2: 0.0336 w_avg: [ 0.2664, 0.3151, 0.2496, ..., -0.1102, 0.0445, 0.0607]
INFO:root:[1][481/2187] Loss_D: 0.4700 Loss_G: 2.8539 R1: 0.0448 R2: 0.0449 w_avg: [ 0.2665, 0.3149, 0.2497, ..., -0.1101, 0.0444, 0.0608]
INFO:root:[1][482/2187] Loss_D: 0.4021 Loss_G: 2.6976 R1: 0.0439 R2: 0.0328 w_avg: [ 0.2661, 0.3147, 0.2496, ..., -0.1101, 0.0447, 0.0608]
INFO:root:[1][483/2187] Loss_D: 0.3519 Loss_G: 2.3723 R1: 0.0424 R2: 0.0372 w_avg: [ 0.2664, 0.3145, 0.2490, ..., -0.1100, 0.0446, 0.0608]
INFO:root:[1][484/2187] Loss_D: 0.3961 Loss_G: 2.2761 R1: 0.0411 R2: 0.0366 w_avg: [ 0.2663, 0.3149, 0.2490, ..., -0.1101, 0.0442, 0.0604]
INFO:root:[1][485/2187] Loss_D: 0.3223 Loss_G: 2.1440 R1: 0.0358 R2: 0.0365 w_avg: [ 0.2661, 0.3152, 0.2493, ..., -0.1102, 0.0439, 0.0602]
INFO:root:[1][486/2187] Loss_D: 0.2557 Loss_G: 3.1275 R1: 0.0430 R2: 0.0291 w_avg: [ 0.2659, 0.3151, 0.2491, ..., -0.1101, 0.0435, 0.0601]
INFO:root:[1][487/2187] Loss_D: 0.3381 Loss_G: 2.4698 R1: 0.0478 R2: 0.0297 w_avg: [ 0.2659, 0.3148, 0.2492, ..., -0.1102, 0.0434, 0.0600]
INFO:root:[1][488/2187] Loss_D: 0.3304 Loss_G: 2.1583 R1: 0.0495 R2: 0.0253 w_avg: [ 0.2659, 0.3145, 0.2495, ..., -0.1102, 0.0433, 0.0600]
INFO:root:[1][489/2187] Loss_D: 0.2401 Loss_G: 2.5718 R1: 0.0434 R2: 0.0357 w_avg: [ 0.2662, 0.3145, 0.2493, ..., -0.1102, 0.0432, 0.0599]
INFO:root:[1][490/2187] Loss_D: 0.2938 Loss_G: 3.4958 R1: 0.0453 R2: 0.0400 w_avg: [ 0.2665, 0.3144, 0.2496, ..., -0.1100, 0.0432, 0.0596]
INFO:root:[1][491/2187] Loss_D: 0.2841 Loss_G: 3.2721 R1: 0.0452 R2: 0.0221 w_avg: [ 0.2666, 0.3145, 0.2500, ..., -0.1100, 0.0432, 0.0603]
INFO:root:[1][492/2187] Loss_D: 0.1381 Loss_G: 3.3260 R1: 0.0523 R2: 0.0162 w_avg: [ 0.2663, 0.3142, 0.2499, ..., -0.1101, 0.0429, 0.0601]
INFO:root:[1][493/2187] Loss_D: 0.1387 Loss_G: 3.1653 R1: 0.0484 R2: 0.0267 w_avg: [ 0.2662, 0.3141, 0.2495, ..., -0.1103, 0.0429, 0.0599]
INFO:root:[1][494/2187] Loss_D: 0.2635 Loss_G: 3.7113 R1: 0.0422 R2: 0.0358 w_avg: [ 0.2659, 0.3141, 0.2495, ..., -0.1104, 0.0426, 0.0601]
INFO:root:[1][495/2187] Loss_D: 0.4795 Loss_G: 2.8496 R1: 0.0413 R2: 0.0520 w_avg: [ 0.2659, 0.3145, 0.2495, ..., -0.1103, 0.0428, 0.0600]
INFO:root:[1][496/2187] Loss_D: 0.2883 Loss_G: 2.9466 R1: 0.0435 R2: 0.0335 w_avg: [ 0.2659, 0.3144, 0.2495, ..., -0.1104, 0.0427, 0.0602]
INFO:root:[1][497/2187] Loss_D: 0.3614 Loss_G: 2.6807 R1: 0.0448 R2: 0.0400 w_avg: [ 0.2655, 0.3144, 0.2498, ..., -0.1106, 0.0425, 0.0600]
INFO:root:[1][498/2187] Loss_D: 0.2804 Loss_G: 2.4656 R1: 0.0380 R2: 0.0394 w_avg: [ 0.2653, 0.3144, 0.2501, ..., -0.1105, 0.0426, 0.0602]
INFO:root:[1][499/2187] Loss_D: 0.3196 Loss_G: 2.4671 R1: 0.0372 R2: 0.0407 w_avg: [ 0.2651, 0.3151, 0.2502, ..., -0.1103, 0.0424, 0.0604]
INFO:root:[1][500/2187] Loss_D: 0.3360 Loss_G: 2.2557 R1: 0.0371 R2: 0.0329 w_avg: [ 0.2649, 0.3151, 0.2503, ..., -0.1103, 0.0424, 0.0605]
INFO:root:[1][501/2187] Loss_D: 0.5101 Loss_G: 2.4048 R1: 0.0397 R2: 0.0403 w_avg: [ 0.2647, 0.3152, 0.2504, ..., -0.1105, 0.0421, 0.0604]
INFO:root:[1][502/2187] Loss_D: 0.4281 Loss_G: 2.9426 R1: 0.0415 R2: 0.0365 w_avg: [ 0.2649, 0.3152, 0.2501, ..., -0.1105, 0.0419, 0.0605]
INFO:root:[1][503/2187] Loss_D: 0.2432 Loss_G: 2.3774 R1: 0.0372 R2: 0.0270 w_avg: [ 0.2646, 0.3149, 0.2501, ..., -0.1101, 0.0419, 0.0604]
INFO:root:[1][504/2187] Loss_D: 0.3101 Loss_G: 2.4232 R1: 0.0418 R2: 0.0289 w_avg: [ 0.2642, 0.3152, 0.2501, ..., -0.1102, 0.0418, 0.0604]
INFO:root:[1][505/2187] Loss_D: 0.2353 Loss_G: 2.6840 R1: 0.0427 R2: 0.0296 w_avg: [ 0.2644, 0.3150, 0.2502, ..., -0.1101, 0.0420, 0.0605]
INFO:root:[1][506/2187] Loss_D: 0.2955 Loss_G: 2.3224 R1: 0.0390 R2: 0.0365 w_avg: [ 0.2647, 0.3150, 0.2505, ..., -0.1099, 0.0418, 0.0605]
INFO:root:[1][507/2187] Loss_D: 0.2632 Loss_G: 2.5020 R1: 0.0405 R2: 0.0342 w_avg: [ 0.2643, 0.3149, 0.2510, ..., -0.1100, 0.0417, 0.0603]
INFO:root:[1][508/2187] Loss_D: 0.2572 Loss_G: 2.6908 R1: 0.0415 R2: 0.0350 w_avg: [ 0.2641, 0.3141, 0.2507, ..., -0.1100, 0.0419, 0.0603]
INFO:root:[1][509/2187] Loss_D: 0.2815 Loss_G: 2.6167 R1: 0.0416 R2: 0.0347 w_avg: [ 0.2638, 0.3141, 0.2508, ..., -0.1099, 0.0419, 0.0601]
INFO:root:[1][510/2187] Loss_D: 0.4643 Loss_G: 3.1201 R1: 0.0468 R2: 0.0398 w_avg: [ 0.2640, 0.3140, 0.2507, ..., -0.1100, 0.0419, 0.0600]
INFO:root:[1][511/2187] Loss_D: 0.3063 Loss_G: 2.6261 R1: 0.0508 R2: 0.0422 w_avg: [ 0.2636, 0.3138, 0.2503, ..., -0.1100, 0.0417, 0.0603]
INFO:root:[1][512/2187] Loss_D: 0.3246 Loss_G: 2.2889 R1: 0.0477 R2: 0.0377 w_avg: [ 0.2637, 0.3136, 0.2504, ..., -0.1102, 0.0419, 0.0600]
INFO:root:[1][513/2187] Loss_D: 0.3105 Loss_G: 2.6974 R1: 0.0463 R2: 0.0372 w_avg: [ 0.2636, 0.3131, 0.2504, ..., -0.1102, 0.0423, 0.0599]
INFO:root:[1][514/2187] Loss_D: 0.1847 Loss_G: 2.1720 R1: 0.0437 R2: 0.0374 w_avg: [ 0.2633, 0.3132, 0.2499, ..., -0.1104, 0.0422, 0.0597]
INFO:root:[1][515/2187] Loss_D: 0.4072 Loss_G: 2.2362 R1: 0.0453 R2: 0.0368 w_avg: [ 0.2633, 0.3137, 0.2503, ..., -0.1105, 0.0420, 0.0597]
INFO:root:[1][516/2187] Loss_D: 0.4579 Loss_G: 2.1940 R1: 0.0411 R2: 0.0336 w_avg: [ 0.2630, 0.3136, 0.2502, ..., -0.1106, 0.0420, 0.0597]
INFO:root:[1][517/2187] Loss_D: 0.4210 Loss_G: 2.5317 R1: 0.0432 R2: 0.0380 w_avg: [ 0.2626, 0.3131, 0.2500, ..., -0.1105, 0.0418, 0.0598]
INFO:root:[1][518/2187] Loss_D: 0.3044 Loss_G: 2.3416 R1: 0.0417 R2: 0.0285 w_avg: [ 0.2620, 0.3133, 0.2504, ..., -0.1106, 0.0416, 0.0596]
INFO:root:[1][519/2187] Loss_D: 0.5441 Loss_G: 1.7517 R1: 0.0459 R2: 0.0467 w_avg: [ 0.2618, 0.3128, 0.2506, ..., -0.1104, 0.0417, 0.0596]
INFO:root:[1][520/2187] Loss_D: 0.3840 Loss_G: 2.3243 R1: 0.0408 R2: 0.0428 w_avg: [ 0.2618, 0.3129, 0.2501, ..., -0.1103, 0.0419, 0.0600]
INFO:root:[1][521/2187] Loss_D: 0.2758 Loss_G: 2.0474 R1: 0.0484 R2: 0.0239 w_avg: [ 0.2617, 0.3129, 0.2501, ..., -0.1102, 0.0420, 0.0597]
INFO:root:[1][522/2187] Loss_D: 0.3820 Loss_G: 2.2657 R1: 0.0395 R2: 0.0356 w_avg: [ 0.2613, 0.3129, 0.2498, ..., -0.1103, 0.0418, 0.0598]
INFO:root:[1][523/2187] Loss_D: 0.4134 Loss_G: 2.3726 R1: 0.0389 R2: 0.0357 w_avg: [ 0.2615, 0.3127, 0.2502, ..., -0.1103, 0.0424, 0.0597]
INFO:root:[1][524/2187] Loss_D: 0.2988 Loss_G: 2.9973 R1: 0.0394 R2: 0.0371 w_avg: [ 0.2612, 0.3124, 0.2503, ..., -0.1103, 0.0427, 0.0596]
INFO:root:[1][525/2187] Loss_D: 0.2406 Loss_G: 3.1873 R1: 0.0556 R2: 0.0285 w_avg: [ 0.2608, 0.3124, 0.2505, ..., -0.1102, 0.0427, 0.0597]
INFO:root:[1][526/2187] Loss_D: 0.3382 Loss_G: 2.6709 R1: 0.0394 R2: 0.0357 w_avg: [ 0.2610, 0.3123, 0.2508, ..., -0.1102, 0.0432, 0.0597]
INFO:root:[1][527/2187] Loss_D: 0.3834 Loss_G: 2.3801 R1: 0.0416 R2: 0.0370 w_avg: [ 0.2610, 0.3119, 0.2509, ..., -0.1100, 0.0432, 0.0600]
INFO:root:[1][528/2187] Loss_D: 0.2333 Loss_G: 2.0182 R1: 0.0356 R2: 0.0313 w_avg: [ 0.2609, 0.3120, 0.2507, ..., -0.1101, 0.0433, 0.0599]
INFO:root:[1][529/2187] Loss_D: 0.4808 Loss_G: 2.1007 R1: 0.0398 R2: 0.0335 w_avg: [ 0.2605, 0.3119, 0.2501, ..., -0.1103, 0.0432, 0.0598]
INFO:root:[1][530/2187] Loss_D: 0.4567 Loss_G: 2.4079 R1: 0.0400 R2: 0.0416 w_avg: [ 0.2608, 0.3120, 0.2496, ..., -0.1104, 0.0429, 0.0599]
INFO:root:[1][531/2187] Loss_D: 0.3082 Loss_G: 1.7868 R1: 0.0386 R2: 0.0460 w_avg: [ 0.2606, 0.3119, 0.2492, ..., -0.1105, 0.0429, 0.0597]
INFO:root:[1][532/2187] Loss_D: 0.3478 Loss_G: 1.7124 R1: 0.0358 R2: 0.0418 w_avg: [ 0.2606, 0.3115, 0.2489, ..., -0.1104, 0.0431, 0.0598]
INFO:root:[1][533/2187] Loss_D: 0.2720 Loss_G: 1.8763 R1: 0.0407 R2: 0.0399 w_avg: [ 0.2610, 0.3115, 0.2490, ..., -0.1104, 0.0430, 0.0598]
INFO:root:[1][534/2187] Loss_D: 0.3711 Loss_G: 2.2472 R1: 0.0415 R2: 0.0401 w_avg: [ 0.2614, 0.3116, 0.2488, ..., -0.1105, 0.0433, 0.0597]
INFO:root:[1][535/2187] Loss_D: 0.3942 Loss_G: 2.5278 R1: 0.0362 R2: 0.0336 w_avg: [ 0.2609, 0.3116, 0.2489, ..., -0.1107, 0.0436, 0.0597]
INFO:root:[1][536/2187] Loss_D: 0.2998 Loss_G: 2.0777 R1: 0.0414 R2: 0.0300 w_avg: [ 0.2610, 0.3112, 0.2488, ..., -0.1107, 0.0435, 0.0595]
INFO:root:[1][537/2187] Loss_D: 0.4934 Loss_G: 2.0625 R1: 0.0492 R2: 0.0412 w_avg: [ 0.2606, 0.3111, 0.2484, ..., -0.1108, 0.0432, 0.0591]
INFO:root:[1][538/2187] Loss_D: 0.3299 Loss_G: 2.2076 R1: 0.0414 R2: 0.0376 w_avg: [ 0.2603, 0.3106, 0.2479, ..., -0.1108, 0.0433, 0.0592]
INFO:root:[1][539/2187] Loss_D: 0.2659 Loss_G: 2.4598 R1: 0.0414 R2: 0.0247 w_avg: [ 0.2601, 0.3106, 0.2477, ..., -0.1109, 0.0431, 0.0591]
INFO:root:[1][540/2187] Loss_D: 0.3660 Loss_G: 3.1015 R1: 0.0423 R2: 0.0361 w_avg: [ 0.2600, 0.3108, 0.2478, ..., -0.1105, 0.0433, 0.0591]
INFO:root:[1][541/2187] Loss_D: 0.2553 Loss_G: 2.7152 R1: 0.0461 R2: 0.0300 w_avg: [ 0.2595, 0.3105, 0.2474, ..., -0.1107, 0.0431, 0.0591]
INFO:root:[1][542/2187] Loss_D: 0.2323 Loss_G: 2.8936 R1: 0.0466 R2: 0.0316 w_avg: [ 0.2593, 0.3102, 0.2478, ..., -0.1108, 0.0437, 0.0587]
INFO:root:[1][543/2187] Loss_D: 0.3036 Loss_G: 3.4804 R1: 0.0411 R2: 0.0376 w_avg: [ 0.2589, 0.3102, 0.2476, ..., -0.1108, 0.0434, 0.0588]
INFO:root:[1][544/2187] Loss_D: 0.1932 Loss_G: 3.0139 R1: 0.0458 R2: 0.0313 w_avg: [ 0.2589, 0.3100, 0.2476, ..., -0.1110, 0.0431, 0.0587]
INFO:root:[1][545/2187] Loss_D: 0.3315 Loss_G: 2.6531 R1: 0.0408 R2: 0.0417 w_avg: [ 0.2586, 0.3095, 0.2475, ..., -0.1109, 0.0435, 0.0584]
INFO:root:[1][546/2187] Loss_D: 0.3017 Loss_G: 2.2038 R1: 0.0339 R2: 0.0368 w_avg: [ 0.2584, 0.3095, 0.2473, ..., -0.1109, 0.0436, 0.0586]
INFO:root:[1][547/2187] Loss_D: 0.3612 Loss_G: 2.0002 R1: 0.0420 R2: 0.0376 w_avg: [ 0.2584, 0.3094, 0.2472, ..., -0.1109, 0.0437, 0.0585]
INFO:root:[1][548/2187] Loss_D: 0.2657 Loss_G: 1.6511 R1: 0.0439 R2: 0.0343 w_avg: [ 0.2579, 0.3094, 0.2467, ..., -0.1111, 0.0435, 0.0583]
INFO:root:[1][549/2187] Loss_D: 0.4029 Loss_G: 2.6205 R1: 0.0413 R2: 0.0352 w_avg: [ 0.2578, 0.3092, 0.2471, ..., -0.1112, 0.0433, 0.0581]
INFO:root:[1][550/2187] Loss_D: 0.2135 Loss_G: 2.8371 R1: 0.0367 R2: 0.0346 w_avg: [ 0.2578, 0.3089, 0.2472, ..., -0.1112, 0.0437, 0.0579]
INFO:root:[1][551/2187] Loss_D: 0.2523 Loss_G: 3.0656 R1: 0.0394 R2: 0.0237 w_avg: [ 0.2581, 0.3087, 0.2471, ..., -0.1111, 0.0438, 0.0577]
INFO:root:[1][552/2187] Loss_D: 0.1995 Loss_G: 2.1997 R1: 0.0437 R2: 0.0360 w_avg: [ 0.2577, 0.3083, 0.2470, ..., -0.1112, 0.0437, 0.0578]
INFO:root:[1][553/2187] Loss_D: 0.3098 Loss_G: 1.8592 R1: 0.0389 R2: 0.0391 w_avg: [ 0.2576, 0.3084, 0.2472, ..., -0.1114, 0.0436, 0.0578]
INFO:root:[1][554/2187] Loss_D: 0.2806 Loss_G: 2.6006 R1: 0.0421 R2: 0.0360 w_avg: [ 0.2578, 0.3083, 0.2472, ..., -0.1114, 0.0434, 0.0577]
INFO:root:[1][555/2187] Loss_D: 0.2797 Loss_G: 2.5821 R1: 0.0422 R2: 0.0342 w_avg: [ 0.2578, 0.3087, 0.2475, ..., -0.1115, 0.0435, 0.0574]
INFO:root:[1][556/2187] Loss_D: 0.3380 Loss_G: 2.4843 R1: 0.0385 R2: 0.0334 w_avg: [ 0.2575, 0.3091, 0.2475, ..., -0.1115, 0.0432, 0.0574]
INFO:root:[1][557/2187] Loss_D: 0.3412 Loss_G: 3.0881 R1: 0.0434 R2: 0.0416 w_avg: [ 0.2574, 0.3090, 0.2475, ..., -0.1116, 0.0429, 0.0573]
INFO:root:[1][558/2187] Loss_D: 0.2813 Loss_G: 2.3482 R1: 0.0449 R2: 0.0343 w_avg: [ 0.2575, 0.3088, 0.2480, ..., -0.1115, 0.0433, 0.0574]
INFO:root:[1][559/2187] Loss_D: 0.3247 Loss_G: 1.9548 R1: 0.0441 R2: 0.0461 w_avg: [ 0.2575, 0.3092, 0.2479, ..., -0.1115, 0.0432, 0.0575]
INFO:root:[1][560/2187] Loss_D: 0.2819 Loss_G: 2.0594 R1: 0.0432 R2: 0.0408 w_avg: [ 0.2572, 0.3092, 0.2484, ..., -0.1114, 0.0434, 0.0575]
INFO:root:[1][561/2187] Loss_D: 0.2834 Loss_G: 2.2591 R1: 0.0464 R2: 0.0399 w_avg: [ 0.2570, 0.3094, 0.2486, ..., -0.1115, 0.0434, 0.0575]
INFO:root:[1][562/2187] Loss_D: 0.2086 Loss_G: 3.4804 R1: 0.0394 R2: 0.0401 w_avg: [ 0.2568, 0.3092, 0.2484, ..., -0.1117, 0.0431, 0.0575]
INFO:root:[1][563/2187] Loss_D: 0.3242 Loss_G: 2.4428 R1: 0.0493 R2: 0.0325 w_avg: [ 0.2563, 0.3094, 0.2482, ..., -0.1117, 0.0428, 0.0572]
INFO:root:[1][564/2187] Loss_D: 0.2743 Loss_G: 2.8376 R1: 0.0435 R2: 0.0358 w_avg: [ 0.2565, 0.3088, 0.2480, ..., -0.1118, 0.0428, 0.0574]
INFO:root:[1][565/2187] Loss_D: 0.3027 Loss_G: 2.1625 R1: 0.0376 R2: 0.0354 w_avg: [ 0.2562, 0.3083, 0.2481, ..., -0.1119, 0.0427, 0.0575]
INFO:root:[1][566/2187] Loss_D: 0.2723 Loss_G: 2.5836 R1: 0.0390 R2: 0.0329 w_avg: [ 0.2562, 0.3085, 0.2480, ..., -0.1119, 0.0427, 0.0572]
INFO:root:[1][567/2187] Loss_D: 0.3459 Loss_G: 2.9636 R1: 0.0398 R2: 0.0297 w_avg: [ 0.2558, 0.3086, 0.2482, ..., -0.1120, 0.0429, 0.0569]
INFO:root:[1][568/2187] Loss_D: 0.2696 Loss_G: 2.2820 R1: 0.0376 R2: 0.0266 w_avg: [ 0.2560, 0.3084, 0.2484, ..., -0.1118, 0.0429, 0.0570]
INFO:root:[1][569/2187] Loss_D: 0.3546 Loss_G: 2.3538 R1: 0.0432 R2: 0.0413 w_avg: [ 0.2557, 0.3084, 0.2480, ..., -0.1118, 0.0427, 0.0568]
INFO:root:[1][570/2187] Loss_D: 0.2712 Loss_G: 2.5192 R1: 0.0382 R2: 0.0269 w_avg: [ 0.2559, 0.3084, 0.2480, ..., -0.1119, 0.0425, 0.0570]
INFO:root:[1][571/2187] Loss_D: 0.4179 Loss_G: 1.8598 R1: 0.0411 R2: 0.0372 w_avg: [ 0.2558, 0.3085, 0.2481, ..., -0.1119, 0.0431, 0.0569]
INFO:root:[1][572/2187] Loss_D: 0.3680 Loss_G: 2.5089 R1: 0.0432 R2: 0.0337 w_avg: [ 0.2557, 0.3086, 0.2478, ..., -0.1118, 0.0436, 0.0574]
INFO:root:[1][573/2187] Loss_D: 0.3802 Loss_G: 2.4240 R1: 0.0326 R2: 0.0338 w_avg: [ 0.2554, 0.3083, 0.2475, ..., -0.1117, 0.0435, 0.0572]
INFO:root:[1][574/2187] Loss_D: 0.3091 Loss_G: 1.8912 R1: 0.0428 R2: 0.0345 w_avg: [ 0.2550, 0.3079, 0.2479, ..., -0.1118, 0.0436, 0.0568]
INFO:root:[1][575/2187] Loss_D: 0.2658 Loss_G: 2.0513 R1: 0.0405 R2: 0.0418 w_avg: [ 0.2547, 0.3076, 0.2476, ..., -0.1120, 0.0434, 0.0567]
INFO:root:[1][576/2187] Loss_D: 0.4374 Loss_G: 1.8676 R1: 0.0366 R2: 0.0356 w_avg: [ 0.2546, 0.3071, 0.2478, ..., -0.1120, 0.0432, 0.0563]
INFO:root:[1][577/2187] Loss_D: 0.4145 Loss_G: 2.5202 R1: 0.0390 R2: 0.0266 w_avg: [ 0.2548, 0.3070, 0.2477, ..., -0.1121, 0.0433, 0.0562]
INFO:root:[1][578/2187] Loss_D: 0.4277 Loss_G: 2.2267 R1: 0.0430 R2: 0.0357 w_avg: [ 0.2549, 0.3071, 0.2479, ..., -0.1122, 0.0432, 0.0562]
INFO:root:[1][579/2187] Loss_D: 0.3325 Loss_G: 2.6671 R1: 0.0393 R2: 0.0199 w_avg: [ 0.2553, 0.3066, 0.2474, ..., -0.1122, 0.0434, 0.0559]
INFO:root:[1][580/2187] Loss_D: 0.1730 Loss_G: 3.0543 R1: 0.0386 R2: 0.0227 w_avg: [ 0.2552, 0.3069, 0.2473, ..., -0.1123, 0.0436, 0.0560]
INFO:root:[1][581/2187] Loss_D: 0.1963 Loss_G: 2.4389 R1: 0.0353 R2: 0.0259 w_avg: [ 0.2551, 0.3068, 0.2471, ..., -0.1124, 0.0438, 0.0556]
INFO:root:[1][582/2187] Loss_D: 0.4670 Loss_G: 1.9689 R1: 0.0422 R2: 0.0374 w_avg: [ 0.2548, 0.3068, 0.2469, ..., -0.1123, 0.0438, 0.0553]
INFO:root:[1][583/2187] Loss_D: 0.4827 Loss_G: 2.8015 R1: 0.0433 R2: 0.0326 w_avg: [ 0.2553, 0.3066, 0.2465, ..., -0.1124, 0.0441, 0.0555]
INFO:root:[1][584/2187] Loss_D: 0.3546 Loss_G: 2.7650 R1: 0.0411 R2: 0.0289 w_avg: [ 0.2551, 0.3066, 0.2467, ..., -0.1123, 0.0441, 0.0556]
INFO:root:[1][585/2187] Loss_D: 0.2746 Loss_G: 2.2935 R1: 0.0380 R2: 0.0353 w_avg: [ 0.2551, 0.3062, 0.2465, ..., -0.1124, 0.0437, 0.0554]
INFO:root:[1][586/2187] Loss_D: 0.3331 Loss_G: 2.0968 R1: 0.0426 R2: 0.0334 w_avg: [ 0.2551, 0.3060, 0.2466, ..., -0.1125, 0.0440, 0.0555]
INFO:root:[1][587/2187] Loss_D: 0.6500 Loss_G: 3.0366 R1: 0.0396 R2: 0.0368 w_avg: [ 0.2557, 0.3063, 0.2466, ..., -0.1125, 0.0438, 0.0555]
INFO:root:[1][588/2187] Loss_D: 0.3561 Loss_G: 2.6418 R1: 0.0352 R2: 0.0326 w_avg: [ 0.2556, 0.3060, 0.2464, ..., -0.1125, 0.0441, 0.0556]
INFO:root:[1][589/2187] Loss_D: 0.2645 Loss_G: 1.9718 R1: 0.0377 R2: 0.0260 w_avg: [ 0.2555, 0.3061, 0.2461, ..., -0.1125, 0.0441, 0.0554]
INFO:root:[1][590/2187] Loss_D: 0.3010 Loss_G: 2.0834 R1: 0.0404 R2: 0.0393 w_avg: [ 0.2554, 0.3063, 0.2460, ..., -0.1126, 0.0443, 0.0555]
INFO:root:[1][591/2187] Loss_D: 0.2955 Loss_G: 1.9330 R1: 0.0352 R2: 0.0335 w_avg: [ 0.2553, 0.3063, 0.2458, ..., -0.1126, 0.0443, 0.0556]
INFO:root:[1][592/2187] Loss_D: 0.2652 Loss_G: 2.2507 R1: 0.0384 R2: 0.0341 w_avg: [ 0.2553, 0.3063, 0.2456, ..., -0.1125, 0.0441, 0.0559]
INFO:root:[1][593/2187] Loss_D: 0.3353 Loss_G: 2.3324 R1: 0.0399 R2: 0.0320 w_avg: [ 0.2552, 0.3062, 0.2457, ..., -0.1122, 0.0440, 0.0563]
INFO:root:[1][594/2187] Loss_D: 0.4318 Loss_G: 2.4855 R1: 0.0394 R2: 0.0340 w_avg: [ 0.2550, 0.3061, 0.2462, ..., -0.1124, 0.0439, 0.0560]
INFO:root:[1][595/2187] Loss_D: 0.3138 Loss_G: 1.9246 R1: 0.0488 R2: 0.0333 w_avg: [ 0.2547, 0.3056, 0.2459, ..., -0.1125, 0.0444, 0.0561]
INFO:root:[1][596/2187] Loss_D: 0.3186 Loss_G: 2.2155 R1: 0.0404 R2: 0.0324 w_avg: [ 0.2546, 0.3054, 0.2459, ..., -0.1126, 0.0444, 0.0559]
INFO:root:[1][597/2187] Loss_D: 0.4976 Loss_G: 2.5366 R1: 0.0412 R2: 0.0323 w_avg: [ 0.2545, 0.3053, 0.2455, ..., -0.1123, 0.0440, 0.0558]
INFO:root:[1][598/2187] Loss_D: 0.4506 Loss_G: 3.1367 R1: 0.0360 R2: 0.0247 w_avg: [ 0.2543, 0.3053, 0.2454, ..., -0.1123, 0.0443, 0.0557]
INFO:root:[1][599/2187] Loss_D: 0.3516 Loss_G: 2.2913 R1: 0.0405 R2: 0.0293 w_avg: [ 0.2543, 0.3051, 0.2458, ..., -0.1125, 0.0447, 0.0554]
INFO:root:[1][600/2187] Loss_D: 0.3333 Loss_G: 2.0217 R1: 0.0381 R2: 0.0336 w_avg: [ 0.2540, 0.3051, 0.2459, ..., -0.1124, 0.0447, 0.0554]
INFO:root:[1][601/2187] Loss_D: 0.4204 Loss_G: 2.3229 R1: 0.0397 R2: 0.0365 w_avg: [ 0.2539, 0.3046, 0.2458, ..., -0.1126, 0.0448, 0.0557]
INFO:root:[1][602/2187] Loss_D: 0.3915 Loss_G: 2.6569 R1: 0.0372 R2: 0.0202 w_avg: [ 0.2539, 0.3045, 0.2455, ..., -0.1125, 0.0446, 0.0559]
INFO:root:[1][603/2187] Loss_D: 0.2672 Loss_G: 2.3060 R1: 0.0471 R2: 0.0324 w_avg: [ 0.2540, 0.3047, 0.2455, ..., -0.1125, 0.0443, 0.0558]
INFO:root:[1][604/2187] Loss_D: 0.2962 Loss_G: 2.1920 R1: 0.0439 R2: 0.0485 w_avg: [ 0.2540, 0.3046, 0.2462, ..., -0.1126, 0.0443, 0.0556]
INFO:root:[1][605/2187] Loss_D: 0.3235 Loss_G: 2.6084 R1: 0.0469 R2: 0.0360 w_avg: [ 0.2536, 0.3042, 0.2460, ..., -0.1125, 0.0443, 0.0553]
INFO:root:[1][606/2187] Loss_D: 0.2344 Loss_G: 2.6577 R1: 0.0442 R2: 0.0359 w_avg: [ 0.2541, 0.3046, 0.2459, ..., -0.1123, 0.0446, 0.0551]
INFO:root:[1][607/2187] Loss_D: 0.4201 Loss_G: 1.6535 R1: 0.0466 R2: 0.0392 w_avg: [ 0.2542, 0.3047, 0.2463, ..., -0.1122, 0.0446, 0.0551]
INFO:root:[1][608/2187] Loss_D: 0.4099 Loss_G: 2.4594 R1: 0.0481 R2: 0.0351 w_avg: [ 0.2543, 0.3047, 0.2461, ..., -0.1121, 0.0447, 0.0551]
INFO:root:[1][609/2187] Loss_D: 0.4153 Loss_G: 2.1489 R1: 0.0464 R2: 0.0419 w_avg: [ 0.2540, 0.3043, 0.2460, ..., -0.1122, 0.0449, 0.0551]
INFO:root:[1][610/2187] Loss_D: 0.2710 Loss_G: 1.5666 R1: 0.0371 R2: 0.0355 w_avg: [ 0.2537, 0.3040, 0.2457, ..., -0.1123, 0.0446, 0.0548]
INFO:root:[1][611/2187] Loss_D: 0.3893 Loss_G: 2.3214 R1: 0.0409 R2: 0.0334 w_avg: [ 0.2537, 0.3036, 0.2451, ..., -0.1124, 0.0447, 0.0546]
INFO:root:[1][612/2187] Loss_D: 0.3054 Loss_G: 2.6483 R1: 0.0470 R2: 0.0400 w_avg: [ 0.2537, 0.3032, 0.2448, ..., -0.1123, 0.0448, 0.0547]
INFO:root:[1][613/2187] Loss_D: 0.2519 Loss_G: 2.2139 R1: 0.0420 R2: 0.0468 w_avg: [ 0.2533, 0.3030, 0.2449, ..., -0.1125, 0.0445, 0.0547]
INFO:root:[1][614/2187] Loss_D: 0.4279 Loss_G: 2.4102 R1: 0.0440 R2: 0.0453 w_avg: [ 0.2528, 0.3032, 0.2451, ..., -0.1124, 0.0446, 0.0544]
INFO:root:[1][615/2187] Loss_D: 0.3466 Loss_G: 2.4540 R1: 0.0429 R2: 0.0367 w_avg: [ 0.2524, 0.3028, 0.2451, ..., -0.1124, 0.0446, 0.0547]
INFO:root:[1][616/2187] Loss_D: 0.3558 Loss_G: 3.1080 R1: 0.0504 R2: 0.0349 w_avg: [ 0.2529, 0.3032, 0.2454, ..., -0.1124, 0.0448, 0.0546]
INFO:root:[1][617/2187] Loss_D: 0.2896 Loss_G: 2.3055 R1: 0.0468 R2: 0.0364 w_avg: [ 0.2528, 0.3034, 0.2449, ..., -0.1125, 0.0447, 0.0546]
INFO:root:[1][618/2187] Loss_D: 0.3859 Loss_G: 2.4410 R1: 0.0424 R2: 0.0400 w_avg: [ 0.2523, 0.3033, 0.2446, ..., -0.1126, 0.0451, 0.0543]
INFO:root:[1][619/2187] Loss_D: 0.2010 Loss_G: 2.2843 R1: 0.0386 R2: 0.0305 w_avg: [ 0.2525, 0.3030, 0.2450, ..., -0.1124, 0.0451, 0.0541]
INFO:root:[1][620/2187] Loss_D: 0.3709 Loss_G: 1.9184 R1: 0.0426 R2: 0.0353 w_avg: [ 0.2525, 0.3032, 0.2448, ..., -0.1124, 0.0451, 0.0541]
INFO:root:[1][621/2187] Loss_D: 0.4169 Loss_G: 2.5997 R1: 0.0477 R2: 0.0422 w_avg: [ 0.2525, 0.3029, 0.2447, ..., -0.1124, 0.0448, 0.0540]
INFO:root:[1][622/2187] Loss_D: 0.4110 Loss_G: 2.2842 R1: 0.0425 R2: 0.0357 w_avg: [ 0.2527, 0.3032, 0.2446, ..., -0.1122, 0.0447, 0.0539]
INFO:root:[1][623/2187] Loss_D: 0.2507 Loss_G: 1.5353 R1: 0.0403 R2: 0.0414 w_avg: [ 0.2529, 0.3031, 0.2447, ..., -0.1123, 0.0449, 0.0538]
INFO:root:[1][624/2187] Loss_D: 0.4650 Loss_G: 2.3883 R1: 0.0430 R2: 0.0394 w_avg: [ 0.2529, 0.3026, 0.2448, ..., -0.1123, 0.0453, 0.0535]
INFO:root:[1][625/2187] Loss_D: 0.4002 Loss_G: 2.1331 R1: 0.0416 R2: 0.0429 w_avg: [ 0.2536, 0.3032, 0.2449, ..., -0.1122, 0.0453, 0.0537]
INFO:root:[1][626/2187] Loss_D: 0.4111 Loss_G: 1.9792 R1: 0.0419 R2: 0.0366 w_avg: [ 0.2536, 0.3034, 0.2449, ..., -0.1122, 0.0453, 0.0536]
INFO:root:[1][627/2187] Loss_D: 0.3552 Loss_G: 1.9655 R1: 0.0447 R2: 0.0297 w_avg: [ 0.2535, 0.3028, 0.2449, ..., -0.1124, 0.0455, 0.0535]
INFO:root:[1][628/2187] Loss_D: 0.3824 Loss_G: 2.1913 R1: 0.0446 R2: 0.0367 w_avg: [ 0.2533, 0.3033, 0.2444, ..., -0.1121, 0.0452, 0.0538]
INFO:root:[1][629/2187] Loss_D: 0.3625 Loss_G: 2.6738 R1: 0.0446 R2: 0.0356 w_avg: [ 0.2537, 0.3030, 0.2445, ..., -0.1122, 0.0449, 0.0537]
INFO:root:[1][630/2187] Loss_D: 0.2445 Loss_G: 2.2763 R1: 0.0416 R2: 0.0322 w_avg: [ 0.2536, 0.3030, 0.2444, ..., -0.1123, 0.0451, 0.0536]
INFO:root:[1][631/2187] Loss_D: 0.4299 Loss_G: 2.4305 R1: 0.0433 R2: 0.0320 w_avg: [ 0.2538, 0.3028, 0.2442, ..., -0.1124, 0.0451, 0.0536]
INFO:root:[1][632/2187] Loss_D: 0.3537 Loss_G: 3.0633 R1: 0.0409 R2: 0.0263 w_avg: [ 0.2535, 0.3031, 0.2442, ..., -0.1123, 0.0453, 0.0535]
INFO:root:[1][633/2187] Loss_D: 0.2462 Loss_G: 2.7365 R1: 0.0434 R2: 0.0358 w_avg: [ 0.2534, 0.3032, 0.2442, ..., -0.1124, 0.0456, 0.0533]
INFO:root:[1][634/2187] Loss_D: 0.2444 Loss_G: 1.9305 R1: 0.0427 R2: 0.0445 w_avg: [ 0.2540, 0.3033, 0.2447, ..., -0.1124, 0.0456, 0.0532]
INFO:root:[1][635/2187] Loss_D: 0.3077 Loss_G: 2.2515 R1: 0.0437 R2: 0.0443 w_avg: [ 0.2542, 0.3034, 0.2447, ..., -0.1122, 0.0455, 0.0531]
INFO:root:[1][636/2187] Loss_D: 0.3196 Loss_G: 2.3937 R1: 0.0404 R2: 0.0428 w_avg: [ 0.2542, 0.3033, 0.2448, ..., -0.1121, 0.0454, 0.0529]
INFO:root:[1][637/2187] Loss_D: 0.3767 Loss_G: 2.0679 R1: 0.0450 R2: 0.0381 w_avg: [ 0.2543, 0.3033, 0.2444, ..., -0.1123, 0.0454, 0.0529]
INFO:root:[1][638/2187] Loss_D: 0.2915 Loss_G: 2.2371 R1: 0.0423 R2: 0.0388 w_avg: [ 0.2538, 0.3033, 0.2442, ..., -0.1125, 0.0452, 0.0526]
INFO:root:[1][639/2187] Loss_D: 0.3184 Loss_G: 2.5819 R1: 0.0417 R2: 0.0340 w_avg: [ 0.2545, 0.3034, 0.2444, ..., -0.1126, 0.0453, 0.0524]
INFO:root:[1][640/2187] Loss_D: 0.2955 Loss_G: 2.1962 R1: 0.0457 R2: 0.0379 w_avg: [ 0.2542, 0.3036, 0.2442, ..., -0.1126, 0.0452, 0.0523]
INFO:root:[1][641/2187] Loss_D: 0.3587 Loss_G: 1.9228 R1: 0.0459 R2: 0.0462 w_avg: [ 0.2539, 0.3037, 0.2446, ..., -0.1125, 0.0450, 0.0524]
INFO:root:[1][642/2187] Loss_D: 0.4015 Loss_G: 1.9193 R1: 0.0428 R2: 0.0423 w_avg: [ 0.2540, 0.3039, 0.2446, ..., -0.1125, 0.0452, 0.0525]
INFO:root:[1][643/2187] Loss_D: 0.2585 Loss_G: 2.5467 R1: 0.0415 R2: 0.0331 w_avg: [ 0.2542, 0.3036, 0.2443, ..., -0.1125, 0.0451, 0.0524]
INFO:root:[1][644/2187] Loss_D: 0.3644 Loss_G: 2.5297 R1: 0.0368 R2: 0.0335 w_avg: [ 0.2540, 0.3030, 0.2443, ..., -0.1124, 0.0453, 0.0521]
INFO:root:[1][645/2187] Loss_D: 0.3748 Loss_G: 1.9045 R1: 0.0408 R2: 0.0287 w_avg: [ 0.2540, 0.3036, 0.2441, ..., -0.1122, 0.0450, 0.0523]
INFO:root:[1][646/2187] Loss_D: 0.4698 Loss_G: 3.4187 R1: 0.0400 R2: 0.0385 w_avg: [ 0.2540, 0.3038, 0.2439, ..., -0.1124, 0.0448, 0.0522]
INFO:root:[1][647/2187] Loss_D: 0.2733 Loss_G: 2.4225 R1: 0.0399 R2: 0.0337 w_avg: [ 0.2541, 0.3037, 0.2440, ..., -0.1122, 0.0449, 0.0520]
INFO:root:[1][648/2187] Loss_D: 0.3596 Loss_G: 2.8386 R1: 0.0464 R2: 0.0405 w_avg: [ 0.2541, 0.3036, 0.2441, ..., -0.1122, 0.0449, 0.0520]
INFO:root:[1][649/2187] Loss_D: 0.2884 Loss_G: 2.8448 R1: 0.0481 R2: 0.0373 w_avg: [ 0.2535, 0.3036, 0.2440, ..., -0.1122, 0.0446, 0.0520]
INFO:root:[1][650/2187] Loss_D: 0.3163 Loss_G: 2.0693 R1: 0.0472 R2: 0.0446 w_avg: [ 0.2532, 0.3033, 0.2444, ..., -0.1121, 0.0447, 0.0518]
INFO:root:[1][651/2187] Loss_D: 0.4386 Loss_G: 3.0076 R1: 0.0481 R2: 0.0383 w_avg: [ 0.2529, 0.3033, 0.2443, ..., -0.1122, 0.0445, 0.0518]
INFO:root:[1][652/2187] Loss_D: 0.4372 Loss_G: 1.9938 R1: 0.0423 R2: 0.0397 w_avg: [ 0.2534, 0.3029, 0.2440, ..., -0.1123, 0.0448, 0.0522]
INFO:root:[1][653/2187] Loss_D: 0.3839 Loss_G: 2.5236 R1: 0.0455 R2: 0.0296 w_avg: [ 0.2533, 0.3031, 0.2437, ..., -0.1123, 0.0448, 0.0524]
INFO:root:[1][654/2187] Loss_D: 0.3037 Loss_G: 2.8046 R1: 0.0545 R2: 0.0310 w_avg: [ 0.2532, 0.3033, 0.2438, ..., -0.1122, 0.0446, 0.0528]
INFO:root:[1][655/2187] Loss_D: 0.3092 Loss_G: 2.2526 R1: 0.0505 R2: 0.0446 w_avg: [ 0.2532, 0.3029, 0.2435, ..., -0.1123, 0.0450, 0.0525]
INFO:root:[1][656/2187] Loss_D: 0.3913 Loss_G: 2.6811 R1: 0.0505 R2: 0.0389 w_avg: [ 0.2530, 0.3028, 0.2430, ..., -0.1125, 0.0450, 0.0528]
INFO:root:[1][657/2187] Loss_D: 0.3168 Loss_G: 2.1842 R1: 0.0485 R2: 0.0389 w_avg: [ 0.2526, 0.3029, 0.2429, ..., -0.1125, 0.0446, 0.0530]
INFO:root:[1][658/2187] Loss_D: 0.2177 Loss_G: 2.5471 R1: 0.0457 R2: 0.0383 w_avg: [ 0.2524, 0.3030, 0.2428, ..., -0.1125, 0.0448, 0.0529]
INFO:root:[1][659/2187] Loss_D: 0.2111 Loss_G: 2.2802 R1: 0.0416 R2: 0.0438 w_avg: [ 0.2524, 0.3034, 0.2431, ..., -0.1126, 0.0447, 0.0531]
INFO:root:[1][660/2187] Loss_D: 0.3178 Loss_G: 2.5030 R1: 0.0449 R2: 0.0449 w_avg: [ 0.2521, 0.3030, 0.2430, ..., -0.1127, 0.0450, 0.0529]
INFO:root:[1][661/2187] Loss_D: 0.4546 Loss_G: 2.7218 R1: 0.0467 R2: 0.0350 w_avg: [ 0.2518, 0.3033, 0.2426, ..., -0.1126, 0.0445, 0.0530]
INFO:root:[1][662/2187] Loss_D: 0.3356 Loss_G: 2.1765 R1: 0.0449 R2: 0.0341 w_avg: [ 0.2512, 0.3029, 0.2422, ..., -0.1127, 0.0443, 0.0527]
INFO:root:[1][663/2187] Loss_D: 0.5183 Loss_G: 1.8868 R1: 0.0478 R2: 0.0423 w_avg: [ 0.2512, 0.3029, 0.2426, ..., -0.1127, 0.0442, 0.0524]
INFO:root:[1][664/2187] Loss_D: 0.3266 Loss_G: 2.7169 R1: 0.0469 R2: 0.0322 w_avg: [ 0.2514, 0.3034, 0.2428, ..., -0.1126, 0.0441, 0.0528]
INFO:root:[1][665/2187] Loss_D: 0.2596 Loss_G: 2.0012 R1: 0.0430 R2: 0.0332 w_avg: [ 0.2511, 0.3032, 0.2434, ..., -0.1127, 0.0441, 0.0528]
INFO:root:[1][666/2187] Loss_D: 0.3480 Loss_G: 2.6047 R1: 0.0430 R2: 0.0380 w_avg: [ 0.2507, 0.3034, 0.2433, ..., -0.1127, 0.0439, 0.0528]
INFO:root:[1][667/2187] Loss_D: 0.3453 Loss_G: 2.7519 R1: 0.0405 R2: 0.0346 w_avg: [ 0.2506, 0.3033, 0.2437, ..., -0.1126, 0.0439, 0.0523]
INFO:root:[1][668/2187] Loss_D: 0.2786 Loss_G: 2.6289 R1: 0.0370 R2: 0.0334 w_avg: [ 0.2512, 0.3034, 0.2435, ..., -0.1125, 0.0435, 0.0521]
INFO:root:[1][669/2187] Loss_D: 0.3688 Loss_G: 2.0711 R1: 0.0414 R2: 0.0355 w_avg: [ 0.2520, 0.3033, 0.2436, ..., -0.1124, 0.0435, 0.0525]
INFO:root:[1][670/2187] Loss_D: 0.3284 Loss_G: 2.4147 R1: 0.0387 R2: 0.0366 w_avg: [ 0.2519, 0.3034, 0.2440, ..., -0.1125, 0.0436, 0.0522]
INFO:root:[1][671/2187] Loss_D: 0.3249 Loss_G: 2.0805 R1: 0.0414 R2: 0.0438 w_avg: [ 0.2519, 0.3035, 0.2442, ..., -0.1125, 0.0433, 0.0522]
INFO:root:[1][672/2187] Loss_D: 0.3391 Loss_G: 2.3287 R1: 0.0441 R2: 0.0391 w_avg: [ 0.2515, 0.3033, 0.2443, ..., -0.1126, 0.0434, 0.0520]
INFO:root:[1][673/2187] Loss_D: 0.4648 Loss_G: 2.2243 R1: 0.0397 R2: 0.0335 w_avg: [ 0.2513, 0.3035, 0.2442, ..., -0.1124, 0.0433, 0.0520]
INFO:root:[1][674/2187] Loss_D: 0.2178 Loss_G: 2.3925 R1: 0.0430 R2: 0.0225 w_avg: [ 0.2510, 0.3037, 0.2448, ..., -0.1124, 0.0433, 0.0519]
INFO:root:[1][675/2187] Loss_D: 0.4077 Loss_G: 2.0063 R1: 0.0433 R2: 0.0325 w_avg: [ 0.2508, 0.3040, 0.2455, ..., -0.1121, 0.0432, 0.0517]
INFO:root:[1][676/2187] Loss_D: 0.2898 Loss_G: 2.2281 R1: 0.0477 R2: 0.0317 w_avg: [ 0.2506, 0.3041, 0.2458, ..., -0.1122, 0.0432, 0.0518]
INFO:root:[1][677/2187] Loss_D: 0.3334 Loss_G: 2.3266 R1: 0.0481 R2: 0.0388 w_avg: [ 0.2507, 0.3047, 0.2456, ..., -0.1118, 0.0430, 0.0518]
INFO:root:[1][678/2187] Loss_D: 0.3595 Loss_G: 2.3265 R1: 0.0444 R2: 0.0431 w_avg: [ 0.2508, 0.3045, 0.2459, ..., -0.1115, 0.0432, 0.0516]
INFO:root:[1][679/2187] Loss_D: 0.4012 Loss_G: 2.6724 R1: 0.0486 R2: 0.0416 w_avg: [ 0.2505, 0.3043, 0.2460, ..., -0.1116, 0.0433, 0.0514]
INFO:root:[1][680/2187] Loss_D: 0.4060 Loss_G: 2.3505 R1: 0.0477 R2: 0.0413 w_avg: [ 0.2506, 0.3041, 0.2456, ..., -0.1117, 0.0438, 0.0512]
INFO:root:[1][681/2187] Loss_D: 0.3188 Loss_G: 1.8707 R1: 0.0476 R2: 0.0361 w_avg: [ 0.2505, 0.3046, 0.2454, ..., -0.1115, 0.0436, 0.0514]
INFO:root:[1][682/2187] Loss_D: 0.4630 Loss_G: 2.5782 R1: 0.0526 R2: 0.0501 w_avg: [ 0.2507, 0.3048, 0.2456, ..., -0.1116, 0.0434, 0.0517]
INFO:root:[1][683/2187] Loss_D: 0.6354 Loss_G: 2.2847 R1: 0.0470 R2: 0.0490 w_avg: [ 0.2512, 0.3046, 0.2458, ..., -0.1116, 0.0432, 0.0516]
INFO:root:[1][684/2187] Loss_D: 0.3007 Loss_G: 1.8328 R1: 0.0438 R2: 0.0362 w_avg: [ 0.2508, 0.3044, 0.2455, ..., -0.1113, 0.0434, 0.0516]
INFO:root:[1][685/2187] Loss_D: 0.4815 Loss_G: 1.6967 R1: 0.0365 R2: 0.0337 w_avg: [ 0.2507, 0.3045, 0.2454, ..., -0.1115, 0.0430, 0.0515]
INFO:root:[1][686/2187] Loss_D: 0.4568 Loss_G: 2.7573 R1: 0.0388 R2: 0.0331 w_avg: [ 0.2501, 0.3049, 0.2455, ..., -0.1116, 0.0430, 0.0513]
INFO:root:[1][687/2187] Loss_D: 0.3743 Loss_G: 1.9157 R1: 0.0405 R2: 0.0316 w_avg: [ 0.2498, 0.3051, 0.2456, ..., -0.1115, 0.0427, 0.0513]
INFO:root:[1][688/2187] Loss_D: 0.3262 Loss_G: 1.9797 R1: 0.0418 R2: 0.0356 w_avg: [ 0.2494, 0.3055, 0.2458, ..., -0.1111, 0.0428, 0.0515]
INFO:root:[1][689/2187] Loss_D: 0.3723 Loss_G: 1.8692 R1: 0.0470 R2: 0.0382 w_avg: [ 0.2496, 0.3053, 0.2454, ..., -0.1112, 0.0427, 0.0514]
INFO:root:[1][690/2187] Loss_D: 0.4913 Loss_G: 1.9092 R1: 0.0410 R2: 0.0620 w_avg: [ 0.2495, 0.3050, 0.2457, ..., -0.1113, 0.0428, 0.0515]
INFO:root:[1][691/2187] Loss_D: 0.5391 Loss_G: 2.5208 R1: 0.0443 R2: 0.0380 w_avg: [ 0.2495, 0.3048, 0.2455, ..., -0.1109, 0.0428, 0.0513]
INFO:root:[1][692/2187] Loss_D: 0.2625 Loss_G: 2.2893 R1: 0.0443 R2: 0.0310 w_avg: [ 0.2493, 0.3045, 0.2460, ..., -0.1110, 0.0433, 0.0511]
INFO:root:[1][693/2187] Loss_D: 0.2975 Loss_G: 1.9924 R1: 0.0423 R2: 0.0343 w_avg: [ 0.2488, 0.3044, 0.2460, ..., -0.1109, 0.0430, 0.0516]
INFO:root:[1][694/2187] Loss_D: 0.3440 Loss_G: 2.1954 R1: 0.0433 R2: 0.0388 w_avg: [ 0.2489, 0.3043, 0.2462, ..., -0.1110, 0.0432, 0.0517]
INFO:root:[1][695/2187] Loss_D: 0.4316 Loss_G: 2.3732 R1: 0.0433 R2: 0.0381 w_avg: [ 0.2487, 0.3043, 0.2464, ..., -0.1111, 0.0437, 0.0514]
INFO:root:[1][696/2187] Loss_D: 0.3869 Loss_G: 2.6752 R1: 0.0424 R2: 0.0473 w_avg: [ 0.2483, 0.3042, 0.2465, ..., -0.1111, 0.0436, 0.0516]
INFO:root:[1][697/2187] Loss_D: 0.2969 Loss_G: 2.2537 R1: 0.0422 R2: 0.0332 w_avg: [ 0.2487, 0.3042, 0.2467, ..., -0.1113, 0.0439, 0.0518]
INFO:root:[1][698/2187] Loss_D: 0.4037 Loss_G: 2.0305 R1: 0.0393 R2: 0.0458 w_avg: [ 0.2483, 0.3038, 0.2464, ..., -0.1113, 0.0437, 0.0516]
INFO:root:[1][699/2187] Loss_D: 0.5149 Loss_G: 2.1476 R1: 0.0507 R2: 0.0461 w_avg: [ 0.2484, 0.3038, 0.2463, ..., -0.1111, 0.0434, 0.0515]
INFO:root:[1][700/2187] Loss_D: 0.4257 Loss_G: 2.6726 R1: 0.0394 R2: 0.0398 w_avg: [ 0.2485, 0.3046, 0.2463, ..., -0.1111, 0.0432, 0.0519]
INFO:root:[1][701/2187] Loss_D: 0.3994 Loss_G: 2.2422 R1: 0.0414 R2: 0.0419 w_avg: [ 0.2483, 0.3047, 0.2458, ..., -0.1113, 0.0432, 0.0521]
INFO:root:[1][702/2187] Loss_D: 0.2369 Loss_G: 2.3752 R1: 0.0415 R2: 0.0243 w_avg: [ 0.2482, 0.3056, 0.2463, ..., -0.1114, 0.0430, 0.0526]
INFO:root:[1][703/2187] Loss_D: 0.3302 Loss_G: 2.1931 R1: 0.0416 R2: 0.0365 w_avg: [ 0.2484, 0.3055, 0.2463, ..., -0.1113, 0.0429, 0.0527]
INFO:root:[1][704/2187] Loss_D: 0.3055 Loss_G: 2.2884 R1: 0.0459 R2: 0.0362 w_avg: [ 0.2480, 0.3050, 0.2466, ..., -0.1111, 0.0427, 0.0529]
INFO:root:[1][705/2187] Loss_D: 0.2466 Loss_G: 1.9803 R1: 0.0409 R2: 0.0284 w_avg: [ 0.2484, 0.3048, 0.2465, ..., -0.1110, 0.0426, 0.0528]
INFO:root:[1][706/2187] Loss_D: 0.2788 Loss_G: 2.4906 R1: 0.0435 R2: 0.0436 w_avg: [ 0.2484, 0.3050, 0.2471, ..., -0.1109, 0.0424, 0.0526]
INFO:root:[1][707/2187] Loss_D: 0.3636 Loss_G: 2.6506 R1: 0.0407 R2: 0.0565 w_avg: [ 0.2481, 0.3045, 0.2470, ..., -0.1109, 0.0423, 0.0523]
INFO:root:[1][708/2187] Loss_D: 0.2938 Loss_G: 2.9587 R1: 0.0443 R2: 0.0289 w_avg: [ 0.2482, 0.3047, 0.2472, ..., -0.1109, 0.0423, 0.0523]
INFO:root:[1][709/2187] Loss_D: 0.1767 Loss_G: 2.7937 R1: 0.0362 R2: 0.0351 w_avg: [ 0.2482, 0.3046, 0.2469, ..., -0.1106, 0.0423, 0.0522]
INFO:root:[1][710/2187] Loss_D: 0.4336 Loss_G: 2.2800 R1: 0.0450 R2: 0.0352 w_avg: [ 0.2481, 0.3046, 0.2468, ..., -0.1104, 0.0420, 0.0520]
INFO:root:[1][711/2187] Loss_D: 0.3608 Loss_G: 2.4445 R1: 0.0401 R2: 0.0383 w_avg: [ 0.2475, 0.3044, 0.2465, ..., -0.1103, 0.0423, 0.0519]
INFO:root:[1][712/2187] Loss_D: 0.3184 Loss_G: 2.4161 R1: 0.0406 R2: 0.0328 w_avg: [ 0.2475, 0.3040, 0.2460, ..., -0.1105, 0.0426, 0.0520]
INFO:root:[1][713/2187] Loss_D: 0.3746 Loss_G: 2.3409 R1: 0.0379 R2: 0.0449 w_avg: [ 0.2476, 0.3038, 0.2458, ..., -0.1106, 0.0425, 0.0519]
INFO:root:[1][714/2187] Loss_D: 0.3840 Loss_G: 2.7641 R1: 0.0369 R2: 0.0346 w_avg: [ 0.2475, 0.3032, 0.2457, ..., -0.1105, 0.0426, 0.0517]
INFO:root:[1][715/2187] Loss_D: 0.2453 Loss_G: 2.6651 R1: 0.0402 R2: 0.0267 w_avg: [ 0.2480, 0.3033, 0.2459, ..., -0.1106, 0.0427, 0.0518]
INFO:root:[1][716/2187] Loss_D: 0.2583 Loss_G: 2.2677 R1: 0.0433 R2: 0.0322 w_avg: [ 0.2475, 0.3032, 0.2455, ..., -0.1108, 0.0427, 0.0519]
INFO:root:[1][717/2187] Loss_D: 0.4260 Loss_G: 1.7481 R1: 0.0438 R2: 0.0350 w_avg: [ 0.2482, 0.3030, 0.2456, ..., -0.1106, 0.0429, 0.0516]
INFO:root:[1][718/2187] Loss_D: 0.3176 Loss_G: 2.7647 R1: 0.0516 R2: 0.0360 w_avg: [ 0.2485, 0.3027, 0.2453, ..., -0.1106, 0.0428, 0.0514]
INFO:root:[1][719/2187] Loss_D: 0.6091 Loss_G: 2.3276 R1: 0.0391 R2: 0.0345 w_avg: [ 0.2486, 0.3024, 0.2452, ..., -0.1106, 0.0427, 0.0514]
INFO:root:[1][720/2187] Loss_D: 0.4670 Loss_G: 2.2349 R1: 0.0369 R2: 0.0312 w_avg: [ 0.2489, 0.3025, 0.2448, ..., -0.1107, 0.0425, 0.0515]
INFO:root:[1][721/2187] Loss_D: 0.2543 Loss_G: 2.4088 R1: 0.0381 R2: 0.0273 w_avg: [ 0.2487, 0.3026, 0.2444, ..., -0.1109, 0.0423, 0.0513]
INFO:root:[1][722/2187] Loss_D: 0.4216 Loss_G: 2.5693 R1: 0.0338 R2: 0.0344 w_avg: [ 0.2490, 0.3027, 0.2448, ..., -0.1109, 0.0422, 0.0512]
INFO:root:[1][723/2187] Loss_D: 0.3036 Loss_G: 2.2511 R1: 0.0379 R2: 0.0310 w_avg: [ 0.2492, 0.3029, 0.2451, ..., -0.1109, 0.0422, 0.0508]
INFO:root:[1][724/2187] Loss_D: 0.2409 Loss_G: 2.6528 R1: 0.0344 R2: 0.0279 w_avg: [ 0.2496, 0.3031, 0.2454, ..., -0.1107, 0.0426, 0.0508]
INFO:root:[1][725/2187] Loss_D: 0.4028 Loss_G: 2.2999 R1: 0.0380 R2: 0.0355 w_avg: [ 0.2501, 0.3028, 0.2454, ..., -0.1108, 0.0427, 0.0504]
INFO:root:[1][726/2187] Loss_D: 0.2560 Loss_G: 1.9831 R1: 0.0331 R2: 0.0298 w_avg: [ 0.2502, 0.3028, 0.2450, ..., -0.1109, 0.0430, 0.0504]
INFO:root:[1][727/2187] Loss_D: 0.4418 Loss_G: 2.3277 R1: 0.0333 R2: 0.0376 w_avg: [ 0.2499, 0.3026, 0.2448, ..., -0.1110, 0.0430, 0.0502]
INFO:root:[1][728/2187] Loss_D: 0.4603 Loss_G: 2.3395 R1: 0.0347 R2: 0.0230 w_avg: [ 0.2500, 0.3026, 0.2450, ..., -0.1110, 0.0427, 0.0508]
INFO:root:[1][729/2187] Loss_D: 0.3810 Loss_G: 1.7595 R1: 0.0348 R2: 0.0343 w_avg: [ 0.2499, 0.3029, 0.2455, ..., -0.1108, 0.0427, 0.0505]
INFO:root:[1][730/2187] Loss_D: 0.3334 Loss_G: 2.5935 R1: 0.0411 R2: 0.0301 w_avg: [ 0.2501, 0.3031, 0.2458, ..., -0.1110, 0.0427, 0.0504]
INFO:root:[1][731/2187] Loss_D: 0.3449 Loss_G: 2.8203 R1: 0.0406 R2: 0.0283 w_avg: [ 0.2501, 0.3028, 0.2456, ..., -0.1109, 0.0427, 0.0501]
INFO:root:[1][732/2187] Loss_D: 0.2445 Loss_G: 3.0225 R1: 0.0346 R2: 0.0258 w_avg: [ 0.2495, 0.3028, 0.2456, ..., -0.1111, 0.0429, 0.0500]
INFO:root:[1][733/2187] Loss_D: 0.3042 Loss_G: 2.6345 R1: 0.0364 R2: 0.0318 w_avg: [ 0.2496, 0.3027, 0.2459, ..., -0.1111, 0.0426, 0.0497]
INFO:root:[1][734/2187] Loss_D: 0.1805 Loss_G: 2.4687 R1: 0.0332 R2: 0.0200 w_avg: [ 0.2494, 0.3024, 0.2457, ..., -0.1109, 0.0427, 0.0496]
INFO:root:[1][735/2187] Loss_D: 0.2317 Loss_G: 2.9767 R1: 0.0341 R2: 0.0253 w_avg: [ 0.2493, 0.3021, 0.2453, ..., -0.1109, 0.0427, 0.0495]
INFO:root:[1][736/2187] Loss_D: 0.3711 Loss_G: 2.4749 R1: 0.0345 R2: 0.0290 w_avg: [ 0.2495, 0.3024, 0.2454, ..., -0.1110, 0.0429, 0.0495]
INFO:root:[1][737/2187] Loss_D: 0.4535 Loss_G: 2.1903 R1: 0.0313 R2: 0.0308 w_avg: [ 0.2489, 0.3022, 0.2452, ..., -0.1112, 0.0428, 0.0495]
INFO:root:[1][738/2187] Loss_D: 0.4072 Loss_G: 2.2347 R1: 0.0321 R2: 0.0212 w_avg: [ 0.2486, 0.3020, 0.2449, ..., -0.1111, 0.0428, 0.0494]
INFO:root:[1][739/2187] Loss_D: 0.2307 Loss_G: 2.1793 R1: 0.0383 R2: 0.0245 w_avg: [ 0.2480, 0.3019, 0.2452, ..., -0.1108, 0.0425, 0.0496]
INFO:root:[1][740/2187] Loss_D: 0.2805 Loss_G: 2.8621 R1: 0.0408 R2: 0.0283 w_avg: [ 0.2477, 0.3020, 0.2450, ..., -0.1108, 0.0425, 0.0497]
INFO:root:[1][741/2187] Loss_D: 0.3819 Loss_G: 1.9922 R1: 0.0412 R2: 0.0423 w_avg: [ 0.2476, 0.3020, 0.2455, ..., -0.1108, 0.0424, 0.0495]
INFO:root:[1][742/2187] Loss_D: 0.2630 Loss_G: 1.7879 R1: 0.0394 R2: 0.0447 w_avg: [ 0.2476, 0.3022, 0.2455, ..., -0.1108, 0.0423, 0.0495]
INFO:root:[1][743/2187] Loss_D: 0.4510 Loss_G: 1.8541 R1: 0.0424 R2: 0.0425 w_avg: [ 0.2474, 0.3017, 0.2454, ..., -0.1109, 0.0422, 0.0494]
INFO:root:[1][744/2187] Loss_D: 0.3877 Loss_G: 2.6745 R1: 0.0341 R2: 0.0179 w_avg: [ 0.2471, 0.3012, 0.2450, ..., -0.1110, 0.0421, 0.0497]
INFO:root:[1][745/2187] Loss_D: 0.3287 Loss_G: 2.5761 R1: 0.0430 R2: 0.0367 w_avg: [ 0.2472, 0.3018, 0.2452, ..., -0.1111, 0.0419, 0.0495]
INFO:root:[1][746/2187] Loss_D: 0.3189 Loss_G: 2.0726 R1: 0.0451 R2: 0.0392 w_avg: [ 0.2475, 0.3022, 0.2453, ..., -0.1111, 0.0419, 0.0500]
INFO:root:[1][747/2187] Loss_D: 0.4972 Loss_G: 2.8488 R1: 0.0448 R2: 0.0408 w_avg: [ 0.2472, 0.3022, 0.2455, ..., -0.1111, 0.0420, 0.0499]
INFO:root:[1][748/2187] Loss_D: 0.2254 Loss_G: 2.3619 R1: 0.0393 R2: 0.0419 w_avg: [ 0.2479, 0.3025, 0.2456, ..., -0.1108, 0.0421, 0.0499]
INFO:root:[1][749/2187] Loss_D: 0.3710 Loss_G: 2.4669 R1: 0.0432 R2: 0.0555 w_avg: [ 0.2479, 0.3018, 0.2456, ..., -0.1109, 0.0424, 0.0499]
INFO:root:[1][750/2187] Loss_D: 0.3623 Loss_G: 2.5896 R1: 0.0375 R2: 0.0376 w_avg: [ 0.2480, 0.3013, 0.2458, ..., -0.1110, 0.0423, 0.0496]
INFO:root:[1][751/2187] Loss_D: 0.2609 Loss_G: 3.0559 R1: 0.0359 R2: 0.0376 w_avg: [ 0.2481, 0.3011, 0.2455, ..., -0.1113, 0.0421, 0.0494]
INFO:root:[1][752/2187] Loss_D: 0.8452 Loss_G: 2.2027 R1: 0.0382 R2: 0.0357 w_avg: [ 0.2483, 0.3017, 0.2456, ..., -0.1114, 0.0425, 0.0493]
INFO:root:[1][753/2187] Loss_D: 0.6423 Loss_G: 2.3658 R1: 0.0279 R2: 0.0323 w_avg: [ 0.2481, 0.3013, 0.2454, ..., -0.1115, 0.0424, 0.0490]
INFO:root:[1][754/2187] Loss_D: 0.5966 Loss_G: 1.6600 R1: 0.0290 R2: 0.0332 w_avg: [ 0.2484, 0.3010, 0.2455, ..., -0.1114, 0.0429, 0.0490]
INFO:root:[1][755/2187] Loss_D: 0.2482 Loss_G: 2.1150 R1: 0.0285 R2: 0.0290 w_avg: [ 0.2481, 0.3008, 0.2455, ..., -0.1115, 0.0428, 0.0489]
INFO:root:[1][756/2187] Loss_D: 0.4960 Loss_G: 2.6859 R1: 0.0336 R2: 0.0469 w_avg: [ 0.2480, 0.3009, 0.2450, ..., -0.1115, 0.0427, 0.0488]
INFO:root:[1][757/2187] Loss_D: 0.3382 Loss_G: 2.2196 R1: 0.0345 R2: 0.0239 w_avg: [ 0.2480, 0.3015, 0.2448, ..., -0.1116, 0.0428, 0.0490]
INFO:root:[1][758/2187] Loss_D: 0.2292 Loss_G: 2.7387 R1: 0.0357 R2: 0.0232 w_avg: [ 0.2479, 0.3014, 0.2447, ..., -0.1115, 0.0425, 0.0488]
INFO:root:[1][759/2187] Loss_D: 0.2239 Loss_G: 2.6528 R1: 0.0308 R2: 0.0259 w_avg: [ 0.2482, 0.3017, 0.2443, ..., -0.1116, 0.0426, 0.0489]
INFO:root:[1][760/2187] Loss_D: 0.2370 Loss_G: 2.4806 R1: 0.0286 R2: 0.0269 w_avg: [ 0.2484, 0.3019, 0.2440, ..., -0.1114, 0.0429, 0.0488]
INFO:root:[1][761/2187] Loss_D: 0.2144 Loss_G: 2.7485 R1: 0.0273 R2: 0.0267 w_avg: [ 0.2479, 0.3017, 0.2437, ..., -0.1112, 0.0426, 0.0490]
INFO:root:[1][762/2187] Loss_D: 0.2977 Loss_G: 2.3354 R1: 0.0304 R2: 0.0293 w_avg: [ 0.2477, 0.3017, 0.2435, ..., -0.1113, 0.0425, 0.0489]
INFO:root:[1][763/2187] Loss_D: 0.4860 Loss_G: 2.2505 R1: 0.0325 R2: 0.0343 w_avg: [ 0.2477, 0.3017, 0.2435, ..., -0.1113, 0.0424, 0.0487]
INFO:root:[1][764/2187] Loss_D: 0.4605 Loss_G: 2.3133 R1: 0.0325 R2: 0.0350 w_avg: [ 0.2477, 0.3015, 0.2437, ..., -0.1112, 0.0425, 0.0487]
INFO:root:[1][765/2187] Loss_D: 0.4545 Loss_G: 2.3303 R1: 0.0305 R2: 0.0299 w_avg: [ 0.2483, 0.3015, 0.2437, ..., -0.1114, 0.0425, 0.0488]
INFO:root:[1][766/2187] Loss_D: 0.3285 Loss_G: 2.6462 R1: 0.0315 R2: 0.0266 w_avg: [ 0.2480, 0.3012, 0.2435, ..., -0.1115, 0.0428, 0.0485]
INFO:root:[1][767/2187] Loss_D: 0.4238 Loss_G: 2.3445 R1: 0.0336 R2: 0.0320 w_avg: [ 0.2486, 0.3013, 0.2445, ..., -0.1115, 0.0430, 0.0485]
INFO:root:[1][768/2187] Loss_D: 0.3638 Loss_G: 2.4636 R1: 0.0303 R2: 0.0327 w_avg: [ 0.2486, 0.3015, 0.2444, ..., -0.1115, 0.0431, 0.0483]
INFO:root:[1][769/2187] Loss_D: 0.3322 Loss_G: 2.5606 R1: 0.0354 R2: 0.0375 w_avg: [ 0.2482, 0.3009, 0.2442, ..., -0.1113, 0.0431, 0.0484]
INFO:root:[1][770/2187] Loss_D: 0.4311 Loss_G: 2.3863 R1: 0.0367 R2: 0.0282 w_avg: [ 0.2480, 0.3008, 0.2439, ..., -0.1111, 0.0432, 0.0481]
INFO:root:[1][771/2187] Loss_D: 0.3652 Loss_G: 1.9772 R1: 0.0345 R2: 0.0313 w_avg: [ 0.2477, 0.3011, 0.2441, ..., -0.1109, 0.0432, 0.0480]
INFO:root:[1][772/2187] Loss_D: 0.5448 Loss_G: 1.9623 R1: 0.0356 R2: 0.0359 w_avg: [ 0.2478, 0.3012, 0.2445, ..., -0.1108, 0.0430, 0.0482]
INFO:root:[1][773/2187] Loss_D: 0.3547 Loss_G: 1.9729 R1: 0.0356 R2: 0.0299 w_avg: [ 0.2478, 0.3012, 0.2447, ..., -0.1108, 0.0428, 0.0481]
INFO:root:[1][774/2187] Loss_D: 0.3205 Loss_G: 1.9868 R1: 0.0313 R2: 0.0284 w_avg: [ 0.2476, 0.3012, 0.2446, ..., -0.1110, 0.0427, 0.0482]
INFO:root:[1][775/2187] Loss_D: 0.3285 Loss_G: 2.3710 R1: 0.0360 R2: 0.0268 w_avg: [ 0.2474, 0.3010, 0.2446, ..., -0.1111, 0.0425, 0.0479]
INFO:root:[1][776/2187] Loss_D: 0.1926 Loss_G: 2.2101 R1: 0.0388 R2: 0.0294 w_avg: [ 0.2482, 0.3016, 0.2450, ..., -0.1112, 0.0428, 0.0477]
INFO:root:[1][777/2187] Loss_D: 0.3434 Loss_G: 2.4830 R1: 0.0379 R2: 0.0346 w_avg: [ 0.2482, 0.3021, 0.2450, ..., -0.1114, 0.0431, 0.0478]
INFO:root:[1][778/2187] Loss_D: 0.2249 Loss_G: 2.2717 R1: 0.0391 R2: 0.0293 w_avg: [ 0.2482, 0.3017, 0.2450, ..., -0.1112, 0.0431, 0.0478]
INFO:root:[1][779/2187] Loss_D: 0.2767 Loss_G: 2.7206 R1: 0.0488 R2: 0.0314 w_avg: [ 0.2480, 0.3015, 0.2448, ..., -0.1111, 0.0435, 0.0482]
INFO:root:[1][780/2187] Loss_D: 0.3661 Loss_G: 2.2530 R1: 0.0503 R2: 0.0394 w_avg: [ 0.2477, 0.3016, 0.2445, ..., -0.1111, 0.0435, 0.0483]
INFO:root:[1][781/2187] Loss_D: 0.4772 Loss_G: 1.8692 R1: 0.0394 R2: 0.0479 w_avg: [ 0.2476, 0.3015, 0.2442, ..., -0.1114, 0.0432, 0.0483]
INFO:root:[1][782/2187] Loss_D: 0.4663 Loss_G: 2.2840 R1: 0.0370 R2: 0.0437 w_avg: [ 0.2476, 0.3019, 0.2443, ..., -0.1114, 0.0436, 0.0481]
INFO:root:[1][783/2187] Loss_D: 0.3959 Loss_G: 1.9209 R1: 0.0352 R2: 0.0259 w_avg: [ 0.2471, 0.3021, 0.2445, ..., -0.1115, 0.0433, 0.0478]
INFO:root:[1][784/2187] Loss_D: 0.3591 Loss_G: 2.2325 R1: 0.0381 R2: 0.0270 w_avg: [ 0.2469, 0.3018, 0.2442, ..., -0.1117, 0.0440, 0.0477]
INFO:root:[1][785/2187] Loss_D: 0.3535 Loss_G: 2.2897 R1: 0.0339 R2: 0.0341 w_avg: [ 0.2467, 0.3018, 0.2443, ..., -0.1119, 0.0443, 0.0475]
INFO:root:[1][786/2187] Loss_D: 0.2830 Loss_G: 1.9673 R1: 0.0369 R2: 0.0302 w_avg: [ 0.2465, 0.3018, 0.2440, ..., -0.1117, 0.0441, 0.0480]
INFO:root:[1][787/2187] Loss_D: 0.3198 Loss_G: 2.5405 R1: 0.0366 R2: 0.0360 w_avg: [ 0.2465, 0.3018, 0.2443, ..., -0.1119, 0.0442, 0.0479]
INFO:root:[1][788/2187] Loss_D: 0.2946 Loss_G: 2.1673 R1: 0.0343 R2: 0.0333 w_avg: [ 0.2463, 0.3017, 0.2440, ..., -0.1120, 0.0439, 0.0482]
INFO:root:[1][789/2187] Loss_D: 0.4149 Loss_G: 3.2055 R1: 0.0379 R2: 0.0563 w_avg: [ 0.2465, 0.3022, 0.2440, ..., -0.1122, 0.0442, 0.0483]
INFO:root:[1][790/2187] Loss_D: 0.4296 Loss_G: 3.1886 R1: 0.0408 R2: 0.0285 w_avg: [ 0.2465, 0.3024, 0.2441, ..., -0.1121, 0.0440, 0.0483]
INFO:root:[1][791/2187] Loss_D: 0.3144 Loss_G: 2.2763 R1: 0.0342 R2: 0.0251 w_avg: [ 0.2461, 0.3026, 0.2443, ..., -0.1121, 0.0439, 0.0480]
INFO:root:[1][792/2187] Loss_D: 0.2402 Loss_G: 2.1979 R1: 0.0298 R2: 0.0289 w_avg: [ 0.2457, 0.3025, 0.2442, ..., -0.1121, 0.0438, 0.0479]
INFO:root:[1][793/2187] Loss_D: 0.2660 Loss_G: 2.3553 R1: 0.0289 R2: 0.0308 w_avg: [ 0.2454, 0.3023, 0.2438, ..., -0.1121, 0.0440, 0.0476]
INFO:root:[1][794/2187] Loss_D: 0.4076 Loss_G: 2.3057 R1: 0.0332 R2: 0.0346 w_avg: [ 0.2454, 0.3021, 0.2442, ..., -0.1122, 0.0443, 0.0474]
INFO:root:[1][795/2187] Loss_D: 0.4245 Loss_G: 2.0908 R1: 0.0313 R2: 0.0345 w_avg: [ 0.2455, 0.3024, 0.2441, ..., -0.1122, 0.0439, 0.0477]
INFO:root:[1][796/2187] Loss_D: 0.4493 Loss_G: 2.1730 R1: 0.0336 R2: 0.0373 w_avg: [ 0.2451, 0.3025, 0.2438, ..., -0.1119, 0.0439, 0.0477]
INFO:root:[1][797/2187] Loss_D: 0.5781 Loss_G: 2.1782 R1: 0.0346 R2: 0.0407 w_avg: [ 0.2456, 0.3027, 0.2436, ..., -0.1120, 0.0440, 0.0477]
INFO:root:[1][798/2187] Loss_D: 0.5286 Loss_G: 1.8845 R1: 0.0276 R2: 0.0346 w_avg: [ 0.2457, 0.3024, 0.2437, ..., -0.1120, 0.0437, 0.0475]
INFO:root:[1][799/2187] Loss_D: 0.4047 Loss_G: 2.2131 R1: 0.0340 R2: 0.0316 w_avg: [ 0.2452, 0.3025, 0.2432, ..., -0.1120, 0.0438, 0.0474]
INFO:root:[1][800/2187] Loss_D: 0.2318 Loss_G: 1.9500 R1: 0.0319 R2: 0.0307 w_avg: [ 0.2448, 0.3024, 0.2431, ..., -0.1120, 0.0437, 0.0472]
INFO:root:[1][801/2187] Loss_D: 0.3335 Loss_G: 2.0236 R1: 0.0341 R2: 0.0242 w_avg: [ 0.2446, 0.3027, 0.2432, ..., -0.1119, 0.0435, 0.0470]
INFO:root:[1][802/2187] Loss_D: 0.4982 Loss_G: 2.4658 R1: 0.0387 R2: 0.0348 w_avg: [ 0.2448, 0.3025, 0.2433, ..., -0.1121, 0.0433, 0.0467]
INFO:root:[1][803/2187] Loss_D: 0.2864 Loss_G: 2.1217 R1: 0.0349 R2: 0.0287 w_avg: [ 0.2449, 0.3023, 0.2431, ..., -0.1121, 0.0432, 0.0467]
INFO:root:[1][804/2187] Loss_D: 0.3982 Loss_G: 2.2799 R1: 0.0364 R2: 0.0285 w_avg: [ 0.2447, 0.3019, 0.2425, ..., -0.1120, 0.0429, 0.0467]
INFO:root:[1][805/2187] Loss_D: 0.3186 Loss_G: 2.0448 R1: 0.0377 R2: 0.0319 w_avg: [ 0.2449, 0.3017, 0.2421, ..., -0.1121, 0.0429, 0.0464]
INFO:root:[1][806/2187] Loss_D: 0.3236 Loss_G: 1.8141 R1: 0.0385 R2: 0.0329 w_avg: [ 0.2449, 0.3018, 0.2421, ..., -0.1122, 0.0432, 0.0465]
INFO:root:[1][807/2187] Loss_D: 0.5627 Loss_G: 1.9554 R1: 0.0354 R2: 0.0386 w_avg: [ 0.2448, 0.3018, 0.2421, ..., -0.1123, 0.0433, 0.0465]
INFO:root:[1][808/2187] Loss_D: 0.3575 Loss_G: 1.7784 R1: 0.0418 R2: 0.0349 w_avg: [ 0.2449, 0.3018, 0.2417, ..., -0.1123, 0.0438, 0.0467]
INFO:root:[1][809/2187] Loss_D: 0.3948 Loss_G: 2.4474 R1: 0.0411 R2: 0.0334 w_avg: [ 0.2445, 0.3019, 0.2418, ..., -0.1122, 0.0436, 0.0468]
INFO:root:[1][810/2187] Loss_D: 0.3351 Loss_G: 2.1756 R1: 0.0376 R2: 0.0267 w_avg: [ 0.2444, 0.3016, 0.2416, ..., -0.1124, 0.0434, 0.0466]
INFO:root:[1][811/2187] Loss_D: 0.4311 Loss_G: 2.8714 R1: 0.0326 R2: 0.0287 w_avg: [ 0.2442, 0.3014, 0.2414, ..., -0.1124, 0.0435, 0.0467]
INFO:root:[1][812/2187] Loss_D: 0.5720 Loss_G: 2.6805 R1: 0.0299 R2: 0.0263 w_avg: [ 0.2444, 0.3020, 0.2415, ..., -0.1120, 0.0436, 0.0468]
INFO:root:[1][813/2187] Loss_D: 0.3168 Loss_G: 2.2982 R1: 0.0304 R2: 0.0289 w_avg: [ 0.2439, 0.3016, 0.2408, ..., -0.1119, 0.0437, 0.0467]
INFO:root:[1][814/2187] Loss_D: 0.3792 Loss_G: 2.0611 R1: 0.0346 R2: 0.0416 w_avg: [ 0.2438, 0.3015, 0.2404, ..., -0.1120, 0.0438, 0.0466]
INFO:root:[1][815/2187] Loss_D: 0.3076 Loss_G: 1.9566 R1: 0.0346 R2: 0.0504 w_avg: [ 0.2433, 0.3011, 0.2405, ..., -0.1122, 0.0438, 0.0464]
INFO:root:[1][816/2187] Loss_D: 0.3186 Loss_G: 2.6103 R1: 0.0378 R2: 0.0333 w_avg: [ 0.2430, 0.3007, 0.2406, ..., -0.1124, 0.0439, 0.0462]
INFO:root:[1][817/2187] Loss_D: 0.2589 Loss_G: 2.5771 R1: 0.0361 R2: 0.0405 w_avg: [ 0.2426, 0.3005, 0.2407, ..., -0.1123, 0.0438, 0.0461]
INFO:root:[1][818/2187] Loss_D: 0.2974 Loss_G: 2.3181 R1: 0.0376 R2: 0.0337 w_avg: [ 0.2429, 0.3006, 0.2404, ..., -0.1124, 0.0436, 0.0460]
INFO:root:[1][819/2187] Loss_D: 0.5562 Loss_G: 2.3233 R1: 0.0393 R2: 0.0379 w_avg: [ 0.2428, 0.3008, 0.2402, ..., -0.1124, 0.0436, 0.0460]
INFO:root:[1][820/2187] Loss_D: 0.2534 Loss_G: 2.1061 R1: 0.0430 R2: 0.0313 w_avg: [ 0.2429, 0.3005, 0.2401, ..., -0.1125, 0.0434, 0.0457]
INFO:root:[1][821/2187] Loss_D: 0.4599 Loss_G: 2.5186 R1: 0.0473 R2: 0.0410 w_avg: [ 0.2432, 0.3004, 0.2402, ..., -0.1125, 0.0434, 0.0459]
INFO:root:[1][822/2187] Loss_D: 0.5379 Loss_G: 2.8396 R1: 0.0379 R2: 0.0370 w_avg: [ 0.2428, 0.3000, 0.2402, ..., -0.1127, 0.0433, 0.0457]
INFO:root:[1][823/2187] Loss_D: 0.4977 Loss_G: 2.7248 R1: 0.0399 R2: 0.0320 w_avg: [ 0.2436, 0.3000, 0.2406, ..., -0.1127, 0.0432, 0.0456]
INFO:root:[1][824/2187] Loss_D: 0.2623 Loss_G: 2.2980 R1: 0.0414 R2: 0.0405 w_avg: [ 0.2436, 0.2997, 0.2403, ..., -0.1128, 0.0432, 0.0453]
INFO:root:[1][825/2187] Loss_D: 0.3808 Loss_G: 1.8392 R1: 0.0383 R2: 0.0341 w_avg: [ 0.2432, 0.2997, 0.2404, ..., -0.1127, 0.0432, 0.0454]
INFO:root:[1][826/2187] Loss_D: 0.3400 Loss_G: 3.2301 R1: 0.0373 R2: 0.0293 w_avg: [ 0.2430, 0.2997, 0.2401, ..., -0.1129, 0.0431, 0.0452]
INFO:root:[1][827/2187] Loss_D: 0.2740 Loss_G: 2.7207 R1: 0.0396 R2: 0.0308 w_avg: [ 0.2438, 0.2998, 0.2404, ..., -0.1130, 0.0430, 0.0451]
INFO:root:[1][828/2187] Loss_D: 0.2786 Loss_G: 2.4850 R1: 0.0390 R2: 0.0358 w_avg: [ 0.2440, 0.2997, 0.2405, ..., -0.1129, 0.0430, 0.0448]
INFO:root:[1][829/2187] Loss_D: 0.4626 Loss_G: 2.2297 R1: 0.0437 R2: 0.0387 w_avg: [ 0.2444, 0.3000, 0.2404, ..., -0.1130, 0.0432, 0.0449]
INFO:root:[1][830/2187] Loss_D: 0.2783 Loss_G: 1.7168 R1: 0.0502 R2: 0.0402 w_avg: [ 0.2446, 0.3002, 0.2404, ..., -0.1131, 0.0433, 0.0449]
INFO:root:[1][831/2187] Loss_D: 0.3345 Loss_G: 1.6077 R1: 0.0444 R2: 0.0455 w_avg: [ 0.2442, 0.3006, 0.2405, ..., -0.1132, 0.0431, 0.0450]
INFO:root:[1][832/2187] Loss_D: 0.4281 Loss_G: 2.0385 R1: 0.0467 R2: 0.0457 w_avg: [ 0.2440, 0.3005, 0.2403, ..., -0.1127, 0.0428, 0.0453]
INFO:root:[1][833/2187] Loss_D: 0.4687 Loss_G: 1.9845 R1: 0.0413 R2: 0.0399 w_avg: [ 0.2438, 0.3004, 0.2401, ..., -0.1128, 0.0425, 0.0451]
INFO:root:[1][834/2187] Loss_D: 0.4208 Loss_G: 2.5291 R1: 0.0367 R2: 0.0303 w_avg: [ 0.2437, 0.3001, 0.2407, ..., -0.1129, 0.0427, 0.0449]
INFO:root:[1][835/2187] Loss_D: 0.5468 Loss_G: 2.4423 R1: 0.0356 R2: 0.0363 w_avg: [ 0.2437, 0.3001, 0.2403, ..., -0.1130, 0.0429, 0.0453]
INFO:root:[1][836/2187] Loss_D: 0.4949 Loss_G: 1.9860 R1: 0.0348 R2: 0.0309 w_avg: [ 0.2437, 0.2998, 0.2405, ..., -0.1130, 0.0428, 0.0456]
INFO:root:[1][837/2187] Loss_D: 0.3306 Loss_G: 2.4150 R1: 0.0365 R2: 0.0300 w_avg: [ 0.2441, 0.3000, 0.2404, ..., -0.1129, 0.0428, 0.0456]
INFO:root:[1][838/2187] Loss_D: 0.2742 Loss_G: 2.3356 R1: 0.0351 R2: 0.0244 w_avg: [ 0.2445, 0.2997, 0.2401, ..., -0.1129, 0.0430, 0.0457]
INFO:root:[1][839/2187] Loss_D: 0.2307 Loss_G: 2.0647 R1: 0.0347 R2: 0.0324 w_avg: [ 0.2445, 0.2993, 0.2401, ..., -0.1129, 0.0434, 0.0456]
INFO:root:[1][840/2187] Loss_D: 0.4396 Loss_G: 1.8453 R1: 0.0383 R2: 0.0318 w_avg: [ 0.2441, 0.2993, 0.2399, ..., -0.1128, 0.0433, 0.0454]
INFO:root:[1][841/2187] Loss_D: 0.3556 Loss_G: 1.6977 R1: 0.0389 R2: 0.0252 w_avg: [ 0.2443, 0.2993, 0.2395, ..., -0.1128, 0.0434, 0.0456]
INFO:root:[1][842/2187] Loss_D: 0.4045 Loss_G: 2.5285 R1: 0.0388 R2: 0.0393 w_avg: [ 0.2444, 0.2990, 0.2398, ..., -0.1126, 0.0434, 0.0454]
INFO:root:[1][843/2187] Loss_D: 0.5146 Loss_G: 1.8855 R1: 0.0362 R2: 0.0360 w_avg: [ 0.2441, 0.2985, 0.2399, ..., -0.1126, 0.0431, 0.0451]
INFO:root:[1][844/2187] Loss_D: 0.2512 Loss_G: 2.1212 R1: 0.0334 R2: 0.0196 w_avg: [ 0.2437, 0.2986, 0.2395, ..., -0.1128, 0.0431, 0.0448]
INFO:root:[1][845/2187] Loss_D: 0.3024 Loss_G: 1.7500 R1: 0.0393 R2: 0.0340 w_avg: [ 0.2439, 0.2988, 0.2393, ..., -0.1125, 0.0430, 0.0453]
INFO:root:[1][846/2187] Loss_D: 0.3006 Loss_G: 2.4071 R1: 0.0421 R2: 0.0304 w_avg: [ 0.2439, 0.2986, 0.2391, ..., -0.1126, 0.0430, 0.0449]
INFO:root:[1][847/2187] Loss_D: 0.4260 Loss_G: 2.5352 R1: 0.0427 R2: 0.0353 w_avg: [ 0.2436, 0.2985, 0.2387, ..., -0.1127, 0.0427, 0.0448]
INFO:root:[1][848/2187] Loss_D: 0.3147 Loss_G: 2.3506 R1: 0.0405 R2: 0.0330 w_avg: [ 0.2443, 0.2985, 0.2387, ..., -0.1130, 0.0427, 0.0450]
INFO:root:[1][849/2187] Loss_D: 0.3318 Loss_G: 2.3813 R1: 0.0372 R2: 0.0424 w_avg: [ 0.2438, 0.2986, 0.2391, ..., -0.1130, 0.0425, 0.0450]
INFO:root:[1][850/2187] Loss_D: 0.3960 Loss_G: 2.8236 R1: 0.0421 R2: 0.0408 w_avg: [ 0.2436, 0.2986, 0.2388, ..., -0.1132, 0.0427, 0.0452]
INFO:root:[1][851/2187] Loss_D: 0.3833 Loss_G: 2.1800 R1: 0.0324 R2: 0.0303 w_avg: [ 0.2437, 0.2990, 0.2385, ..., -0.1131, 0.0428, 0.0450]
INFO:root:[1][852/2187] Loss_D: 0.3329 Loss_G: 2.0674 R1: 0.0368 R2: 0.0292 w_avg: [ 0.2435, 0.2989, 0.2383, ..., -0.1132, 0.0426, 0.0450]
INFO:root:[1][853/2187] Loss_D: 0.4470 Loss_G: 2.3649 R1: 0.0388 R2: 0.0287 w_avg: [ 0.2433, 0.2992, 0.2383, ..., -0.1133, 0.0426, 0.0452]
INFO:root:[1][854/2187] Loss_D: 0.3678 Loss_G: 2.2766 R1: 0.0387 R2: 0.0335 w_avg: [ 0.2431, 0.2995, 0.2382, ..., -0.1133, 0.0424, 0.0453]
INFO:root:[1][855/2187] Loss_D: 0.4856 Loss_G: 2.7456 R1: 0.0377 R2: 0.0397 w_avg: [ 0.2431, 0.2991, 0.2384, ..., -0.1133, 0.0422, 0.0450]
INFO:root:[1][856/2187] Loss_D: 0.4169 Loss_G: 3.4033 R1: 0.0486 R2: 0.0324 w_avg: [ 0.2432, 0.2991, 0.2384, ..., -0.1132, 0.0421, 0.0449]
INFO:root:[1][857/2187] Loss_D: 0.2583 Loss_G: 3.1128 R1: 0.0408 R2: 0.0295 w_avg: [ 0.2434, 0.2989, 0.2379, ..., -0.1128, 0.0423, 0.0448]
INFO:root:[1][858/2187] Loss_D: 0.3355 Loss_G: 2.7325 R1: 0.0374 R2: 0.0344 w_avg: [ 0.2431, 0.2985, 0.2376, ..., -0.1129, 0.0426, 0.0450]
INFO:root:[1][859/2187] Loss_D: 0.5505 Loss_G: 3.1058 R1: 0.0394 R2: 0.0420 w_avg: [ 0.2428, 0.2983, 0.2373, ..., -0.1128, 0.0425, 0.0449]
INFO:root:[1][860/2187] Loss_D: 0.2668 Loss_G: 2.8529 R1: 0.0384 R2: 0.0320 w_avg: [ 0.2424, 0.2980, 0.2371, ..., -0.1129, 0.0425, 0.0448]
INFO:root:[1][861/2187] Loss_D: 0.4335 Loss_G: 2.6061 R1: 0.0445 R2: 0.0383 w_avg: [ 0.2420, 0.2979, 0.2368, ..., -0.1130, 0.0425, 0.0449]
INFO:root:[1][862/2187] Loss_D: 0.3042 Loss_G: 2.6511 R1: 0.0402 R2: 0.0379 w_avg: [ 0.2415, 0.2974, 0.2363, ..., -0.1130, 0.0425, 0.0450]
INFO:root:[1][863/2187] Loss_D: 0.3778 Loss_G: 3.1185 R1: 0.0446 R2: 0.0356 w_avg: [ 0.2417, 0.2970, 0.2361, ..., -0.1130, 0.0427, 0.0448]
INFO:root:[1][864/2187] Loss_D: 0.3938 Loss_G: 2.5564 R1: 0.0372 R2: 0.0459 w_avg: [ 0.2417, 0.2966, 0.2358, ..., -0.1132, 0.0429, 0.0453]
INFO:root:[1][865/2187] Loss_D: 0.3771 Loss_G: 2.8521 R1: 0.0443 R2: 0.0448 w_avg: [ 0.2415, 0.2961, 0.2354, ..., -0.1132, 0.0427, 0.0453]
INFO:root:[1][866/2187] Loss_D: 0.3463 Loss_G: 2.3319 R1: 0.0394 R2: 0.0342 w_avg: [ 0.2416, 0.2957, 0.2353, ..., -0.1133, 0.0426, 0.0451]
INFO:root:[1][867/2187] Loss_D: 0.3525 Loss_G: 3.1223 R1: 0.0378 R2: 0.0358 w_avg: [ 0.2419, 0.2957, 0.2356, ..., -0.1133, 0.0422, 0.0446]
INFO:root:[1][868/2187] Loss_D: 0.3698 Loss_G: 3.1344 R1: 0.0342 R2: 0.0440 w_avg: [ 0.2419, 0.2965, 0.2357, ..., -0.1131, 0.0418, 0.0446]
INFO:root:[1][869/2187] Loss_D: 0.4546 Loss_G: 2.4817 R1: 0.0451 R2: 0.0492 w_avg: [ 0.2418, 0.2960, 0.2361, ..., -0.1131, 0.0416, 0.0445]
INFO:root:[1][870/2187] Loss_D: 0.6838 Loss_G: 2.6278 R1: 0.0401 R2: 0.0559 w_avg: [ 0.2415, 0.2960, 0.2363, ..., -0.1131, 0.0416, 0.0442]
INFO:root:[1][871/2187] Loss_D: 0.4206 Loss_G: 2.0785 R1: 0.0392 R2: 0.0373 w_avg: [ 0.2418, 0.2958, 0.2362, ..., -0.1131, 0.0416, 0.0440]
INFO:root:[1][872/2187] Loss_D: 0.3489 Loss_G: 2.1911 R1: 0.0400 R2: 0.0363 w_avg: [ 0.2418, 0.2954, 0.2360, ..., -0.1132, 0.0418, 0.0438]
INFO:root:[1][873/2187] Loss_D: 0.6530 Loss_G: 1.6297 R1: 0.0336 R2: 0.0382 w_avg: [ 0.2419, 0.2949, 0.2360, ..., -0.1133, 0.0420, 0.0439]
INFO:root:[1][874/2187] Loss_D: 0.3061 Loss_G: 2.3456 R1: 0.0351 R2: 0.0306 w_avg: [ 0.2421, 0.2948, 0.2355, ..., -0.1132, 0.0419, 0.0442]
INFO:root:[1][875/2187] Loss_D: 0.3513 Loss_G: 2.3813 R1: 0.0355 R2: 0.0381 w_avg: [ 0.2421, 0.2951, 0.2355, ..., -0.1131, 0.0420, 0.0443]
INFO:root:[1][876/2187] Loss_D: 0.2873 Loss_G: 2.1896 R1: 0.0346 R2: 0.0282 w_avg: [ 0.2417, 0.2954, 0.2353, ..., -0.1131, 0.0419, 0.0443]
INFO:root:[1][877/2187] Loss_D: 0.3856 Loss_G: 2.3382 R1: 0.0344 R2: 0.0332 w_avg: [ 0.2418, 0.2951, 0.2352, ..., -0.1134, 0.0419, 0.0446]
INFO:root:[1][878/2187] Loss_D: 0.2674 Loss_G: 2.9258 R1: 0.0354 R2: 0.0311 w_avg: [ 0.2421, 0.2953, 0.2354, ..., -0.1134, 0.0417, 0.0445]
INFO:root:[1][879/2187] Loss_D: 0.2936 Loss_G: 2.2205 R1: 0.0297 R2: 0.0327 w_avg: [ 0.2420, 0.2953, 0.2353, ..., -0.1132, 0.0419, 0.0445]
INFO:root:[1][880/2187] Loss_D: 0.4020 Loss_G: 2.7893 R1: 0.0361 R2: 0.0373 w_avg: [ 0.2419, 0.2951, 0.2351, ..., -0.1132, 0.0421, 0.0445]
INFO:root:[1][881/2187] Loss_D: 0.4588 Loss_G: 2.4948 R1: 0.0333 R2: 0.0376 w_avg: [ 0.2416, 0.2952, 0.2350, ..., -0.1132, 0.0424, 0.0448]
INFO:root:[1][882/2187] Loss_D: 0.4074 Loss_G: 3.0197 R1: 0.0395 R2: 0.0364 w_avg: [ 0.2415, 0.2949, 0.2347, ..., -0.1131, 0.0423, 0.0447]
INFO:root:[1][883/2187] Loss_D: 0.3011 Loss_G: 2.7253 R1: 0.0417 R2: 0.0320 w_avg: [ 0.2412, 0.2951, 0.2351, ..., -0.1131, 0.0423, 0.0447]
INFO:root:[1][884/2187] Loss_D: 0.3187 Loss_G: 2.4927 R1: 0.0343 R2: 0.0393 w_avg: [ 0.2411, 0.2947, 0.2349, ..., -0.1132, 0.0425, 0.0448]
INFO:root:[1][885/2187] Loss_D: 0.3330 Loss_G: 1.8716 R1: 0.0338 R2: 0.0369 w_avg: [ 0.2408, 0.2945, 0.2348, ..., -0.1132, 0.0427, 0.0446]
INFO:root:[1][886/2187] Loss_D: 0.2386 Loss_G: 2.2512 R1: 0.0350 R2: 0.0364 w_avg: [ 0.2404, 0.2948, 0.2347, ..., -0.1133, 0.0425, 0.0447]
INFO:root:[1][887/2187] Loss_D: 0.3457 Loss_G: 2.2140 R1: 0.0318 R2: 0.0383 w_avg: [ 0.2401, 0.2948, 0.2346, ..., -0.1133, 0.0424, 0.0445]
INFO:root:[1][888/2187] Loss_D: 0.3947 Loss_G: 2.2349 R1: 0.0326 R2: 0.0341 w_avg: [ 0.2400, 0.2947, 0.2347, ..., -0.1133, 0.0422, 0.0444]
INFO:root:[1][889/2187] Loss_D: 0.2890 Loss_G: 2.6472 R1: 0.0330 R2: 0.0300 w_avg: [ 0.2398, 0.2950, 0.2351, ..., -0.1135, 0.0421, 0.0441]
INFO:root:[1][890/2187] Loss_D: 0.4239 Loss_G: 2.2066 R1: 0.0335 R2: 0.0363 w_avg: [ 0.2399, 0.2952, 0.2354, ..., -0.1137, 0.0422, 0.0439]
INFO:root:[1][891/2187] Loss_D: 0.3659 Loss_G: 2.2717 R1: 0.0365 R2: 0.0289 w_avg: [ 0.2398, 0.2950, 0.2354, ..., -0.1137, 0.0423, 0.0439]
INFO:root:[1][892/2187] Loss_D: 0.3290 Loss_G: 2.2713 R1: 0.0344 R2: 0.0323 w_avg: [ 0.2398, 0.2946, 0.2355, ..., -0.1139, 0.0422, 0.0439]
INFO:root:[1][893/2187] Loss_D: 0.2772 Loss_G: 2.1897 R1: 0.0404 R2: 0.0349 w_avg: [ 0.2399, 0.2945, 0.2355, ..., -0.1136, 0.0422, 0.0441]
INFO:root:[1][894/2187] Loss_D: 0.4544 Loss_G: 2.1292 R1: 0.0365 R2: 0.0328 w_avg: [ 0.2401, 0.2945, 0.2356, ..., -0.1136, 0.0425, 0.0439]
INFO:root:[1][895/2187] Loss_D: 0.4622 Loss_G: 2.2220 R1: 0.0369 R2: 0.0302 w_avg: [ 0.2402, 0.2948, 0.2355, ..., -0.1137, 0.0423, 0.0436]
INFO:root:[1][896/2187] Loss_D: 0.3086 Loss_G: 2.0357 R1: 0.0337 R2: 0.0227 w_avg: [ 0.2397, 0.2945, 0.2351, ..., -0.1138, 0.0423, 0.0437]
INFO:root:[1][897/2187] Loss_D: 0.2456 Loss_G: 2.4819 R1: 0.0350 R2: 0.0254 w_avg: [ 0.2395, 0.2944, 0.2347, ..., -0.1137, 0.0423, 0.0439]
INFO:root:[1][898/2187] Loss_D: 0.3226 Loss_G: 2.3615 R1: 0.0329 R2: 0.0323 w_avg: [ 0.2393, 0.2942, 0.2349, ..., -0.1138, 0.0423, 0.0438]
INFO:root:[1][899/2187] Loss_D: 0.4519 Loss_G: 2.6143 R1: 0.0352 R2: 0.0308 w_avg: [ 0.2390, 0.2944, 0.2347, ..., -0.1140, 0.0426, 0.0438]
INFO:root:[1][900/2187] Loss_D: 0.8048 Loss_G: 2.0888 R1: 0.0341 R2: 0.0332 w_avg: [ 0.2395, 0.2947, 0.2347, ..., -0.1139, 0.0429, 0.0436]
INFO:root:[1][901/2187] Loss_D: 0.3965 Loss_G: 1.7547 R1: 0.0434 R2: 0.0184 w_avg: [ 0.2393, 0.2942, 0.2345, ..., -0.1141, 0.0429, 0.0434]
INFO:root:[1][902/2187] Loss_D: 0.3287 Loss_G: 2.1617 R1: 0.0310 R2: 0.0213 w_avg: [ 0.2389, 0.2941, 0.2345, ..., -0.1142, 0.0432, 0.0435]
INFO:root:[1][903/2187] Loss_D: 0.7522 Loss_G: 2.5106 R1: 0.0340 R2: 0.0444 w_avg: [ 0.2393, 0.2940, 0.2344, ..., -0.1141, 0.0433, 0.0434]
INFO:root:[1][904/2187] Loss_D: 0.3527 Loss_G: 2.1273 R1: 0.0385 R2: 0.0233 w_avg: [ 0.2390, 0.2937, 0.2347, ..., -0.1142, 0.0432, 0.0432]
INFO:root:[1][905/2187] Loss_D: 0.3034 Loss_G: 2.4961 R1: 0.0378 R2: 0.0256 w_avg: [ 0.2392, 0.2934, 0.2348, ..., -0.1139, 0.0434, 0.0430]
INFO:root:[1][906/2187] Loss_D: 0.3225 Loss_G: 1.9433 R1: 0.0366 R2: 0.0332 w_avg: [ 0.2393, 0.2935, 0.2346, ..., -0.1137, 0.0435, 0.0430]
INFO:root:[1][907/2187] Loss_D: 0.4534 Loss_G: 1.8730 R1: 0.0354 R2: 0.0348 w_avg: [ 0.2393, 0.2935, 0.2345, ..., -0.1138, 0.0435, 0.0427]
INFO:root:[1][908/2187] Loss_D: 0.3893 Loss_G: 2.2020 R1: 0.0362 R2: 0.0270 w_avg: [ 0.2391, 0.2936, 0.2341, ..., -0.1139, 0.0434, 0.0428]
INFO:root:[1][909/2187] Loss_D: 0.2768 Loss_G: 2.4981 R1: 0.0332 R2: 0.0259 w_avg: [ 0.2389, 0.2933, 0.2346, ..., -0.1139, 0.0433, 0.0428]
INFO:root:[1][910/2187] Loss_D: 0.2576 Loss_G: 2.0439 R1: 0.0339 R2: 0.0349 w_avg: [ 0.2383, 0.2929, 0.2348, ..., -0.1139, 0.0432, 0.0426]
INFO:root:[1][911/2187] Loss_D: 0.4366 Loss_G: 1.8511 R1: 0.0368 R2: 0.0431 w_avg: [ 0.2387, 0.2939, 0.2353, ..., -0.1139, 0.0433, 0.0426]
INFO:root:[1][912/2187] Loss_D: 0.4206 Loss_G: 2.0830 R1: 0.0385 R2: 0.0342 w_avg: [ 0.2387, 0.2938, 0.2356, ..., -0.1137, 0.0432, 0.0421]
INFO:root:[1][913/2187] Loss_D: 0.4161 Loss_G: 2.2645 R1: 0.0360 R2: 0.0358 w_avg: [ 0.2385, 0.2933, 0.2353, ..., -0.1139, 0.0431, 0.0421]
INFO:root:[1][914/2187] Loss_D: 0.4596 Loss_G: 2.5187 R1: 0.0359 R2: 0.0374 w_avg: [ 0.2386, 0.2934, 0.2354, ..., -0.1140, 0.0433, 0.0418]
INFO:root:[1][915/2187] Loss_D: 0.4639 Loss_G: 1.8269 R1: 0.0363 R2: 0.0334 w_avg: [ 0.2386, 0.2936, 0.2354, ..., -0.1142, 0.0434, 0.0421]
INFO:root:[1][916/2187] Loss_D: 0.3077 Loss_G: 2.5365 R1: 0.0354 R2: 0.0406 w_avg: [ 0.2387, 0.2939, 0.2354, ..., -0.1141, 0.0431, 0.0419]
INFO:root:[1][917/2187] Loss_D: 0.3969 Loss_G: 1.8908 R1: 0.0353 R2: 0.0378 w_avg: [ 0.2385, 0.2945, 0.2351, ..., -0.1138, 0.0428, 0.0418]
INFO:root:[1][918/2187] Loss_D: 0.3450 Loss_G: 2.2641 R1: 0.0383 R2: 0.0424 w_avg: [ 0.2384, 0.2943, 0.2350, ..., -0.1139, 0.0428, 0.0420]
INFO:root:[1][919/2187] Loss_D: 0.3403 Loss_G: 2.7190 R1: 0.0432 R2: 0.0342 w_avg: [ 0.2384, 0.2943, 0.2352, ..., -0.1140, 0.0428, 0.0418]
INFO:root:[1][920/2187] Loss_D: 0.3486 Loss_G: 2.3049 R1: 0.0351 R2: 0.0396 w_avg: [ 0.2384, 0.2939, 0.2353, ..., -0.1141, 0.0431, 0.0419]
INFO:root:[1][921/2187] Loss_D: 0.5912 Loss_G: 2.8786 R1: 0.0371 R2: 0.0404 w_avg: [ 0.2381, 0.2938, 0.2353, ..., -0.1141, 0.0431, 0.0417]
INFO:root:[1][922/2187] Loss_D: 0.2511 Loss_G: 1.8375 R1: 0.0373 R2: 0.0357 w_avg: [ 0.2381, 0.2937, 0.2352, ..., -0.1142, 0.0429, 0.0415]
INFO:root:[1][923/2187] Loss_D: 0.5085 Loss_G: 2.1293 R1: 0.0358 R2: 0.0316 w_avg: [ 0.2383, 0.2935, 0.2350, ..., -0.1144, 0.0429, 0.0414]
INFO:root:[1][924/2187] Loss_D: 0.3013 Loss_G: 2.7054 R1: 0.0355 R2: 0.0246 w_avg: [ 0.2379, 0.2935, 0.2348, ..., -0.1144, 0.0427, 0.0417]
INFO:root:[1][925/2187] Loss_D: 0.6211 Loss_G: 2.1787 R1: 0.0383 R2: 0.0327 w_avg: [ 0.2376, 0.2936, 0.2348, ..., -0.1145, 0.0425, 0.0418]
INFO:root:[1][926/2187] Loss_D: 0.7143 Loss_G: 2.1210 R1: 0.0344 R2: 0.0345 w_avg: [ 0.2374, 0.2937, 0.2344, ..., -0.1144, 0.0425, 0.0417]
INFO:root:[1][927/2187] Loss_D: 0.4300 Loss_G: 1.7533 R1: 0.0371 R2: 0.0266 w_avg: [ 0.2374, 0.2939, 0.2345, ..., -0.1144, 0.0424, 0.0417]
INFO:root:[1][928/2187] Loss_D: 0.3120 Loss_G: 1.7861 R1: 0.0368 R2: 0.0339 w_avg: [ 0.2372, 0.2936, 0.2343, ..., -0.1146, 0.0426, 0.0415]
INFO:root:[1][929/2187] Loss_D: 0.2866 Loss_G: 2.0441 R1: 0.0385 R2: 0.0365 w_avg: [ 0.2370, 0.2932, 0.2347, ..., -0.1142, 0.0423, 0.0416]
INFO:root:[1][930/2187] Loss_D: 0.7567 Loss_G: 1.9301 R1: 0.0392 R2: 0.0419 w_avg: [ 0.2365, 0.2926, 0.2342, ..., -0.1142, 0.0420, 0.0418]
INFO:root:[1][931/2187] Loss_D: 0.5162 Loss_G: 2.1088 R1: 0.0376 R2: 0.0336 w_avg: [ 0.2360, 0.2924, 0.2339, ..., -0.1142, 0.0418, 0.0420]
INFO:root:[1][932/2187] Loss_D: 0.3221 Loss_G: 2.1311 R1: 0.0300 R2: 0.0251 w_avg: [ 0.2358, 0.2927, 0.2338, ..., -0.1143, 0.0416, 0.0421]
INFO:root:[1][933/2187] Loss_D: 0.4829 Loss_G: 1.8579 R1: 0.0379 R2: 0.0255 w_avg: [ 0.2361, 0.2925, 0.2335, ..., -0.1144, 0.0420, 0.0423]
INFO:root:[1][934/2187] Loss_D: 0.3092 Loss_G: 2.1249 R1: 0.0385 R2: 0.0262 w_avg: [ 0.2359, 0.2925, 0.2337, ..., -0.1145, 0.0420, 0.0420]
INFO:root:[1][935/2187] Loss_D: 0.3860 Loss_G: 1.7243 R1: 0.0374 R2: 0.0292 w_avg: [ 0.2356, 0.2926, 0.2336, ..., -0.1145, 0.0422, 0.0417]
INFO:root:[1][936/2187] Loss_D: 0.5119 Loss_G: 1.6698 R1: 0.0303 R2: 0.0253 w_avg: [ 0.2354, 0.2925, 0.2338, ..., -0.1146, 0.0418, 0.0416]
INFO:root:[1][937/2187] Loss_D: 0.4108 Loss_G: 1.6074 R1: 0.0317 R2: 0.0226 w_avg: [ 0.2353, 0.2924, 0.2337, ..., -0.1146, 0.0418, 0.0414]
INFO:root:[1][938/2187] Loss_D: 0.3310 Loss_G: 2.2584 R1: 0.0358 R2: 0.0173 w_avg: [ 0.2354, 0.2926, 0.2335, ..., -0.1145, 0.0417, 0.0418]
INFO:root:[1][939/2187] Loss_D: 0.2579 Loss_G: 2.2560 R1: 0.0340 R2: 0.0297 w_avg: [ 0.2355, 0.2921, 0.2335, ..., -0.1146, 0.0418, 0.0415]
INFO:root:[1][940/2187] Loss_D: 0.3876 Loss_G: 1.8671 R1: 0.0360 R2: 0.0336 w_avg: [ 0.2352, 0.2921, 0.2335, ..., -0.1147, 0.0419, 0.0415]
INFO:root:[1][941/2187] Loss_D: 0.4196 Loss_G: 2.0555 R1: 0.0346 R2: 0.0324 w_avg: [ 0.2349, 0.2918, 0.2337, ..., -0.1148, 0.0422, 0.0414]
INFO:root:[1][942/2187] Loss_D: 0.4244 Loss_G: 2.0742 R1: 0.0369 R2: 0.0366 w_avg: [ 0.2350, 0.2919, 0.2339, ..., -0.1150, 0.0420, 0.0414]
INFO:root:[1][943/2187] Loss_D: 0.4621 Loss_G: 2.0430 R1: 0.0395 R2: 0.0404 w_avg: [ 0.2349, 0.2918, 0.2337, ..., -0.1151, 0.0423, 0.0416]
INFO:root:[1][944/2187] Loss_D: 0.4284 Loss_G: 2.4029 R1: 0.0326 R2: 0.0366 w_avg: [ 0.2350, 0.2918, 0.2334, ..., -0.1150, 0.0421, 0.0416]
INFO:root:[1][945/2187] Loss_D: 0.3571 Loss_G: 3.1199 R1: 0.0330 R2: 0.0390 w_avg: [ 0.2350, 0.2916, 0.2332, ..., -0.1149, 0.0425, 0.0419]
INFO:root:[1][946/2187] Loss_D: 0.2748 Loss_G: 2.6565 R1: 0.0353 R2: 0.0273 w_avg: [ 0.2348, 0.2914, 0.2328, ..., -0.1149, 0.0424, 0.0421]
INFO:root:[1][947/2187] Loss_D: 0.2839 Loss_G: 2.3025 R1: 0.0293 R2: 0.0269 w_avg: [ 0.2348, 0.2917, 0.2327, ..., -0.1147, 0.0420, 0.0425]
INFO:root:[1][948/2187] Loss_D: 0.3294 Loss_G: 2.6170 R1: 0.0374 R2: 0.0305 w_avg: [ 0.2347, 0.2913, 0.2327, ..., -0.1148, 0.0424, 0.0424]
INFO:root:[1][949/2187] Loss_D: 0.2356 Loss_G: 2.4379 R1: 0.0297 R2: 0.0327 w_avg: [ 0.2343, 0.2909, 0.2323, ..., -0.1146, 0.0425, 0.0422]
INFO:root:[1][950/2187] Loss_D: 0.2293 Loss_G: 2.9808 R1: 0.0308 R2: 0.0307 w_avg: [ 0.2342, 0.2905, 0.2324, ..., -0.1147, 0.0426, 0.0421]
INFO:root:[1][951/2187] Loss_D: 0.2440 Loss_G: 2.8561 R1: 0.0359 R2: 0.0354 w_avg: [ 0.2342, 0.2909, 0.2323, ..., -0.1147, 0.0427, 0.0418]
INFO:root:[1][952/2187] Loss_D: 0.3179 Loss_G: 2.5073 R1: 0.0317 R2: 0.0370 w_avg: [ 0.2340, 0.2910, 0.2319, ..., -0.1147, 0.0428, 0.0415]
INFO:root:[1][953/2187] Loss_D: 0.3348 Loss_G: 1.9759 R1: 0.0303 R2: 0.0453 w_avg: [ 0.2338, 0.2907, 0.2320, ..., -0.1144, 0.0429, 0.0416]
INFO:root:[1][954/2187] Loss_D: 0.3094 Loss_G: 1.9306 R1: 0.0337 R2: 0.0256 w_avg: [ 0.2339, 0.2910, 0.2320, ..., -0.1145, 0.0431, 0.0416]
INFO:root:[1][955/2187] Loss_D: 0.3017 Loss_G: 2.2353 R1: 0.0367 R2: 0.0281 w_avg: [ 0.2341, 0.2913, 0.2320, ..., -0.1144, 0.0430, 0.0414]
INFO:root:[1][956/2187] Loss_D: 0.2403 Loss_G: 2.5905 R1: 0.0411 R2: 0.0279 w_avg: [ 0.2339, 0.2909, 0.2322, ..., -0.1144, 0.0429, 0.0412]
INFO:root:[1][957/2187] Loss_D: 0.4064 Loss_G: 2.4382 R1: 0.0353 R2: 0.0333 w_avg: [ 0.2334, 0.2910, 0.2323, ..., -0.1143, 0.0431, 0.0410]
INFO:root:[1][958/2187] Loss_D: 0.2803 Loss_G: 2.1782 R1: 0.0452 R2: 0.0268 w_avg: [ 0.2330, 0.2906, 0.2323, ..., -0.1141, 0.0429, 0.0410]
INFO:root:[1][959/2187] Loss_D: 0.3937 Loss_G: 2.0750 R1: 0.0415 R2: 0.0399 w_avg: [ 0.2328, 0.2904, 0.2320, ..., -0.1141, 0.0431, 0.0407]
INFO:root:[1][960/2187] Loss_D: 0.3160 Loss_G: 2.3343 R1: 0.0449 R2: 0.0340 w_avg: [ 0.2332, 0.2903, 0.2324, ..., -0.1143, 0.0430, 0.0404]
INFO:root:[1][961/2187] Loss_D: 0.3372 Loss_G: 1.7120 R1: 0.0432 R2: 0.0265 w_avg: [ 0.2328, 0.2906, 0.2321, ..., -0.1143, 0.0428, 0.0403]
INFO:root:[1][962/2187] Loss_D: 0.3710 Loss_G: 2.8377 R1: 0.0356 R2: 0.0391 w_avg: [ 0.2327, 0.2910, 0.2323, ..., -0.1143, 0.0428, 0.0401]
INFO:root:[1][963/2187] Loss_D: 0.5244 Loss_G: 2.8024 R1: 0.0429 R2: 0.0419 w_avg: [ 0.2328, 0.2906, 0.2322, ..., -0.1143, 0.0431, 0.0400]
INFO:root:[1][964/2187] Loss_D: 0.2537 Loss_G: 2.5391 R1: 0.0436 R2: 0.0404 w_avg: [ 0.2331, 0.2904, 0.2326, ..., -0.1145, 0.0438, 0.0397]
INFO:root:[1][965/2187] Loss_D: 0.4807 Loss_G: 2.4555 R1: 0.0397 R2: 0.0425 w_avg: [ 0.2334, 0.2907, 0.2332, ..., -0.1144, 0.0436, 0.0396]
INFO:root:[1][966/2187] Loss_D: 0.5294 Loss_G: 2.4746 R1: 0.0450 R2: 0.0294 w_avg: [ 0.2336, 0.2916, 0.2330, ..., -0.1145, 0.0436, 0.0398]
INFO:root:[1][967/2187] Loss_D: 0.3658 Loss_G: 2.5309 R1: 0.0464 R2: 0.0340 w_avg: [ 0.2340, 0.2914, 0.2333, ..., -0.1147, 0.0434, 0.0395]
INFO:root:[1][968/2187] Loss_D: 0.3632 Loss_G: 2.3946 R1: 0.0381 R2: 0.0385 w_avg: [ 0.2338, 0.2914, 0.2331, ..., -0.1146, 0.0434, 0.0397]
INFO:root:[1][969/2187] Loss_D: 0.3646 Loss_G: 1.8537 R1: 0.0421 R2: 0.0348 w_avg: [ 0.2339, 0.2914, 0.2334, ..., -0.1148, 0.0435, 0.0394]
INFO:root:[1][970/2187] Loss_D: 0.3096 Loss_G: 3.1146 R1: 0.0481 R2: 0.0339 w_avg: [ 0.2335, 0.2913, 0.2334, ..., -0.1148, 0.0434, 0.0398]
INFO:root:[1][971/2187] Loss_D: 0.2979 Loss_G: 2.0087 R1: 0.0468 R2: 0.0397 w_avg: [ 0.2336, 0.2913, 0.2333, ..., -0.1149, 0.0435, 0.0398]
INFO:root:[1][972/2187] Loss_D: 0.4190 Loss_G: 2.2664 R1: 0.0427 R2: 0.0529 w_avg: [ 0.2336, 0.2912, 0.2334, ..., -0.1149, 0.0436, 0.0398]
INFO:root:[1][973/2187] Loss_D: 0.2392 Loss_G: 2.0896 R1: 0.0514 R2: 0.0297 w_avg: [ 0.2335, 0.2907, 0.2338, ..., -0.1150, 0.0433, 0.0396]
INFO:root:[1][974/2187] Loss_D: 0.3421 Loss_G: 2.8158 R1: 0.0453 R2: 0.0424 w_avg: [ 0.2339, 0.2909, 0.2338, ..., -0.1148, 0.0432, 0.0398]
INFO:root:[1][975/2187] Loss_D: 0.2336 Loss_G: 2.6119 R1: 0.0441 R2: 0.0391 w_avg: [ 0.2340, 0.2907, 0.2334, ..., -0.1149, 0.0433, 0.0395]
INFO:root:[1][976/2187] Loss_D: 0.3141 Loss_G: 2.7185 R1: 0.0403 R2: 0.0342 w_avg: [ 0.2336, 0.2905, 0.2329, ..., -0.1151, 0.0434, 0.0398]
INFO:root:[1][977/2187] Loss_D: 0.1686 Loss_G: 2.6519 R1: 0.0390 R2: 0.0332 w_avg: [ 0.2337, 0.2909, 0.2329, ..., -0.1149, 0.0431, 0.0401]
INFO:root:[1][978/2187] Loss_D: 0.3267 Loss_G: 2.2774 R1: 0.0452 R2: 0.0393 w_avg: [ 0.2337, 0.2910, 0.2329, ..., -0.1147, 0.0431, 0.0400]
INFO:root:[1][979/2187] Loss_D: 0.4246 Loss_G: 2.7129 R1: 0.0472 R2: 0.0395 w_avg: [ 0.2337, 0.2907, 0.2324, ..., -0.1147, 0.0432, 0.0400]
INFO:root:[1][980/2187] Loss_D: 0.3893 Loss_G: 2.4016 R1: 0.0419 R2: 0.0460 w_avg: [ 0.2334, 0.2908, 0.2328, ..., -0.1148, 0.0431, 0.0397]
INFO:root:[1][981/2187] Loss_D: 0.3124 Loss_G: 2.4530 R1: 0.0391 R2: 0.0481 w_avg: [ 0.2336, 0.2912, 0.2329, ..., -0.1147, 0.0430, 0.0399]
INFO:root:[1][982/2187] Loss_D: 0.4284 Loss_G: 2.9056 R1: 0.0431 R2: 0.0458 w_avg: [ 0.2333, 0.2908, 0.2329, ..., -0.1147, 0.0429, 0.0399]
INFO:root:[1][983/2187] Loss_D: 0.4575 Loss_G: 2.6148 R1: 0.0393 R2: 0.0460 w_avg: [ 0.2331, 0.2905, 0.2328, ..., -0.1149, 0.0426, 0.0399]
INFO:root:[1][984/2187] Loss_D: 0.2685 Loss_G: 2.3855 R1: 0.0406 R2: 0.0338 w_avg: [ 0.2327, 0.2904, 0.2327, ..., -0.1149, 0.0424, 0.0400]
INFO:root:[1][985/2187] Loss_D: 0.2963 Loss_G: 2.6254 R1: 0.0398 R2: 0.0355 w_avg: [ 0.2326, 0.2900, 0.2327, ..., -0.1149, 0.0425, 0.0403]
INFO:root:[1][986/2187] Loss_D: 0.3902 Loss_G: 2.0205 R1: 0.0394 R2: 0.0394 w_avg: [ 0.2322, 0.2899, 0.2326, ..., -0.1148, 0.0422, 0.0399]
INFO:root:[1][987/2187] Loss_D: 0.3662 Loss_G: 1.5357 R1: 0.0379 R2: 0.0386 w_avg: [ 0.2319, 0.2896, 0.2330, ..., -0.1147, 0.0422, 0.0398]
INFO:root:[1][988/2187] Loss_D: 0.5862 Loss_G: 2.4445 R1: 0.0478 R2: 0.0403 w_avg: [ 0.2318, 0.2892, 0.2331, ..., -0.1146, 0.0426, 0.0396]
INFO:root:[1][989/2187] Loss_D: 0.5266 Loss_G: 2.2464 R1: 0.0435 R2: 0.0438 w_avg: [ 0.2314, 0.2885, 0.2330, ..., -0.1148, 0.0425, 0.0396]
INFO:root:[1][990/2187] Loss_D: 0.3776 Loss_G: 1.9184 R1: 0.0393 R2: 0.0519 w_avg: [ 0.2317, 0.2880, 0.2334, ..., -0.1148, 0.0424, 0.0398]
INFO:root:[1][991/2187] Loss_D: 0.4928 Loss_G: 2.2640 R1: 0.0362 R2: 0.0474 w_avg: [ 0.2315, 0.2879, 0.2333, ..., -0.1150, 0.0423, 0.0399]
INFO:root:[1][992/2187] Loss_D: 0.3886 Loss_G: 2.3822 R1: 0.0383 R2: 0.0459 w_avg: [ 0.2313, 0.2883, 0.2332, ..., -0.1149, 0.0422, 0.0400]
INFO:root:[1][993/2187] Loss_D: 0.4174 Loss_G: 2.8544 R1: 0.0352 R2: 0.0367 w_avg: [ 0.2314, 0.2884, 0.2335, ..., -0.1150, 0.0424, 0.0399]
INFO:root:[1][994/2187] Loss_D: 0.2501 Loss_G: 2.7320 R1: 0.0308 R2: 0.0344 w_avg: [ 0.2312, 0.2883, 0.2337, ..., -0.1151, 0.0425, 0.0397]
INFO:root:[1][995/2187] Loss_D: 0.3355 Loss_G: 2.2251 R1: 0.0304 R2: 0.0336 w_avg: [ 0.2306, 0.2883, 0.2334, ..., -0.1150, 0.0423, 0.0394]
INFO:root:[1][996/2187] Loss_D: 0.2926 Loss_G: 2.3975 R1: 0.0300 R2: 0.0311 w_avg: [ 0.2305, 0.2882, 0.2334, ..., -0.1152, 0.0421, 0.0394]
INFO:root:[1][997/2187] Loss_D: 0.2660 Loss_G: 2.3820 R1: 0.0279 R2: 0.0301 w_avg: [ 0.2303, 0.2885, 0.2338, ..., -0.1153, 0.0419, 0.0392]
INFO:root:[1][998/2187] Loss_D: 0.4589 Loss_G: 2.0051 R1: 0.0316 R2: 0.0383 w_avg: [ 0.2301, 0.2882, 0.2337, ..., -0.1152, 0.0418, 0.0390]
INFO:root:[1][999/2187] Loss_D: 0.3327 Loss_G: 2.3204 R1: 0.0371 R2: 0.0307 w_avg: [ 0.2299, 0.2883, 0.2337, ..., -0.1154, 0.0416, 0.0393]
INFO:root:[1][1000/2187] Loss_D: 0.6342 Loss_G: 2.8683 R1: 0.0326 R2: 0.0315 w_avg: [ 0.2303, 0.2883, 0.2344, ..., -0.1152, 0.0417, 0.0393]
INFO:root:[1][1001/2187] Loss_D: 0.5042 Loss_G: 2.1132 R1: 0.0334 R2: 0.0362 w_avg: [ 0.2303, 0.2880, 0.2346, ..., -0.1153, 0.0417, 0.0393]
INFO:root:[1][1002/2187] Loss_D: 0.3995 Loss_G: 2.3858 R1: 0.0425 R2: 0.0226 w_avg: [ 0.2299, 0.2878, 0.2343, ..., -0.1155, 0.0418, 0.0391]
INFO:root:[1][1003/2187] Loss_D: 0.4171 Loss_G: 2.3254 R1: 0.0375 R2: 0.0288 w_avg: [ 0.2299, 0.2879, 0.2344, ..., -0.1155, 0.0418, 0.0391]
INFO:root:[1][1004/2187] Loss_D: 0.3702 Loss_G: 2.0761 R1: 0.0408 R2: 0.0304 w_avg: [ 0.2299, 0.2876, 0.2344, ..., -0.1151, 0.0416, 0.0390]
INFO:root:[1][1005/2187] Loss_D: 0.2848 Loss_G: 2.5134 R1: 0.0381 R2: 0.0292 w_avg: [ 0.2302, 0.2873, 0.2344, ..., -0.1153, 0.0422, 0.0391]
INFO:root:[1][1006/2187] Loss_D: 0.3077 Loss_G: 2.6085 R1: 0.0405 R2: 0.0334 w_avg: [ 0.2303, 0.2873, 0.2343, ..., -0.1152, 0.0420, 0.0389]
INFO:root:[1][1007/2187] Loss_D: 0.2900 Loss_G: 2.8498 R1: 0.0403 R2: 0.0321 w_avg: [ 0.2300, 0.2873, 0.2347, ..., -0.1152, 0.0415, 0.0389]
INFO:root:[1][1008/2187] Loss_D: 0.3184 Loss_G: 1.9384 R1: 0.0426 R2: 0.0341 w_avg: [ 0.2294, 0.2867, 0.2345, ..., -0.1151, 0.0421, 0.0387]
INFO:root:[1][1009/2187] Loss_D: 0.2920 Loss_G: 2.2467 R1: 0.0411 R2: 0.0268 w_avg: [ 0.2297, 0.2866, 0.2346, ..., -0.1152, 0.0424, 0.0385]
INFO:root:[1][1010/2187] Loss_D: 0.2437 Loss_G: 2.2550 R1: 0.0441 R2: 0.0338 w_avg: [ 0.2294, 0.2865, 0.2342, ..., -0.1152, 0.0423, 0.0384]
INFO:root:[1][1011/2187] Loss_D: 0.3418 Loss_G: 2.1846 R1: 0.0447 R2: 0.0391 w_avg: [ 0.2293, 0.2861, 0.2341, ..., -0.1153, 0.0423, 0.0386]
INFO:root:[1][1012/2187] Loss_D: 0.4425 Loss_G: 2.1949 R1: 0.0397 R2: 0.0427 w_avg: [ 0.2294, 0.2859, 0.2340, ..., -0.1154, 0.0424, 0.0384]
INFO:root:[1][1013/2187] Loss_D: 0.3728 Loss_G: 3.4910 R1: 0.0367 R2: 0.0344 w_avg: [ 0.2291, 0.2860, 0.2342, ..., -0.1154, 0.0422, 0.0384]
INFO:root:[1][1014/2187] Loss_D: 0.2516 Loss_G: 2.0276 R1: 0.0349 R2: 0.0312 w_avg: [ 0.2291, 0.2857, 0.2342, ..., -0.1154, 0.0424, 0.0383]
INFO:root:[1][1015/2187] Loss_D: 0.4139 Loss_G: 2.5432 R1: 0.0391 R2: 0.0346 w_avg: [ 0.2288, 0.2855, 0.2340, ..., -0.1153, 0.0422, 0.0385]
INFO:root:[1][1016/2187] Loss_D: 0.4491 Loss_G: 1.6969 R1: 0.0404 R2: 0.0359 w_avg: [ 0.2287, 0.2854, 0.2339, ..., -0.1154, 0.0421, 0.0382]
INFO:root:[1][1017/2187] Loss_D: 0.4403 Loss_G: 2.3190 R1: 0.0397 R2: 0.0379 w_avg: [ 0.2287, 0.2853, 0.2335, ..., -0.1155, 0.0424, 0.0383]
INFO:root:[1][1018/2187] Loss_D: 0.5083 Loss_G: 2.1213 R1: 0.0378 R2: 0.0424 w_avg: [ 0.2289, 0.2852, 0.2333, ..., -0.1156, 0.0424, 0.0380]
INFO:root:[1][1019/2187] Loss_D: 0.3817 Loss_G: 2.2705 R1: 0.0447 R2: 0.0353 w_avg: [ 0.2287, 0.2855, 0.2336, ..., -0.1158, 0.0423, 0.0378]
INFO:root:[1][1020/2187] Loss_D: 0.4934 Loss_G: 2.5843 R1: 0.0404 R2: 0.0394 w_avg: [ 0.2291, 0.2856, 0.2337, ..., -0.1159, 0.0425, 0.0375]
INFO:root:[1][1021/2187] Loss_D: 0.3452 Loss_G: 1.8739 R1: 0.0351 R2: 0.0391 w_avg: [ 0.2288, 0.2858, 0.2336, ..., -0.1158, 0.0425, 0.0373]
INFO:root:[1][1022/2187] Loss_D: 0.6423 Loss_G: 2.1385 R1: 0.0393 R2: 0.0397 w_avg: [ 0.2287, 0.2856, 0.2338, ..., -0.1159, 0.0426, 0.0370]
INFO:root:[1][1023/2187] Loss_D: 0.2620 Loss_G: 2.4119 R1: 0.0370 R2: 0.0227 w_avg: [ 0.2284, 0.2856, 0.2338, ..., -0.1160, 0.0426, 0.0369]
INFO:root:[1][1024/2187] Loss_D: 0.4290 Loss_G: 2.5139 R1: 0.0362 R2: 0.0308 w_avg: [ 0.2283, 0.2857, 0.2341, ..., -0.1158, 0.0427, 0.0367]
INFO:root:[1][1025/2187] Loss_D: 0.3371 Loss_G: 2.3910 R1: 0.0371 R2: 0.0345 w_avg: [ 0.2286, 0.2857, 0.2341, ..., -0.1159, 0.0429, 0.0366]
INFO:root:[1][1026/2187] Loss_D: 0.6058 Loss_G: 1.6272 R1: 0.0358 R2: 0.0449 w_avg: [ 0.2286, 0.2860, 0.2338, ..., -0.1158, 0.0427, 0.0369]
INFO:root:[1][1027/2187] Loss_D: 0.4342 Loss_G: 2.3993 R1: 0.0354 R2: 0.0313 w_avg: [ 0.2284, 0.2858, 0.2342, ..., -0.1159, 0.0425, 0.0367]
INFO:root:[1][1028/2187] Loss_D: 0.2097 Loss_G: 1.7189 R1: 0.0366 R2: 0.0331 w_avg: [ 0.2279, 0.2855, 0.2340, ..., -0.1161, 0.0425, 0.0371]
INFO:root:[1][1029/2187] Loss_D: 0.3731 Loss_G: 2.0597 R1: 0.0380 R2: 0.0408 w_avg: [ 0.2279, 0.2853, 0.2336, ..., -0.1162, 0.0425, 0.0374]
INFO:root:[1][1030/2187] Loss_D: 0.3939 Loss_G: 2.6697 R1: 0.0384 R2: 0.0423 w_avg: [ 0.2283, 0.2851, 0.2338, ..., -0.1162, 0.0426, 0.0376]
INFO:root:[1][1031/2187] Loss_D: 0.3445 Loss_G: 2.0142 R1: 0.0393 R2: 0.0397 w_avg: [ 0.2285, 0.2855, 0.2338, ..., -0.1160, 0.0426, 0.0380]
INFO:root:[1][1032/2187] Loss_D: 0.3243 Loss_G: 2.2908 R1: 0.0386 R2: 0.0455 w_avg: [ 0.2282, 0.2857, 0.2335, ..., -0.1159, 0.0428, 0.0382]
INFO:root:[1][1033/2187] Loss_D: 0.4090 Loss_G: 2.4511 R1: 0.0416 R2: 0.0395 w_avg: [ 0.2280, 0.2853, 0.2334, ..., -0.1159, 0.0429, 0.0383]
INFO:root:[1][1034/2187] Loss_D: 0.3822 Loss_G: 1.7573 R1: 0.0417 R2: 0.0373 w_avg: [ 0.2280, 0.2855, 0.2333, ..., -0.1160, 0.0429, 0.0382]
INFO:root:[1][1035/2187] Loss_D: 0.4926 Loss_G: 1.8487 R1: 0.0433 R2: 0.0405 w_avg: [ 0.2277, 0.2855, 0.2334, ..., -0.1162, 0.0428, 0.0381]
INFO:root:[1][1036/2187] Loss_D: 0.6027 Loss_G: 2.7284 R1: 0.0380 R2: 0.0424 w_avg: [ 0.2277, 0.2855, 0.2334, ..., -0.1164, 0.0426, 0.0378]
INFO:root:[1][1037/2187] Loss_D: 0.2494 Loss_G: 2.2572 R1: 0.0330 R2: 0.0321 w_avg: [ 0.2275, 0.2855, 0.2333, ..., -0.1162, 0.0424, 0.0377]
INFO:root:[1][1038/2187] Loss_D: 0.3223 Loss_G: 2.5262 R1: 0.0350 R2: 0.0321 w_avg: [ 0.2279, 0.2858, 0.2335, ..., -0.1162, 0.0425, 0.0377]
INFO:root:[1][1039/2187] Loss_D: 0.3437 Loss_G: 2.2972 R1: 0.0372 R2: 0.0325 w_avg: [ 0.2281, 0.2858, 0.2334, ..., -0.1162, 0.0426, 0.0378]
INFO:root:[1][1040/2187] Loss_D: 0.4404 Loss_G: 1.6719 R1: 0.0389 R2: 0.0384 w_avg: [ 0.2281, 0.2860, 0.2328, ..., -0.1163, 0.0424, 0.0379]
INFO:root:[1][1041/2187] Loss_D: 0.2567 Loss_G: 1.9994 R1: 0.0413 R2: 0.0303 w_avg: [ 0.2276, 0.2858, 0.2326, ..., -0.1163, 0.0428, 0.0380]
INFO:root:[1][1042/2187] Loss_D: 0.4877 Loss_G: 2.2318 R1: 0.0339 R2: 0.0452 w_avg: [ 0.2275, 0.2856, 0.2324, ..., -0.1162, 0.0428, 0.0379]
INFO:root:[1][1043/2187] Loss_D: 0.2341 Loss_G: 2.1211 R1: 0.0419 R2: 0.0218 w_avg: [ 0.2277, 0.2853, 0.2321, ..., -0.1161, 0.0425, 0.0376]
INFO:root:[1][1044/2187] Loss_D: 0.3574 Loss_G: 2.4816 R1: 0.0401 R2: 0.0412 w_avg: [ 0.2277, 0.2850, 0.2324, ..., -0.1163, 0.0426, 0.0374]
INFO:root:[1][1045/2187] Loss_D: 0.2883 Loss_G: 2.0577 R1: 0.0363 R2: 0.0252 w_avg: [ 0.2274, 0.2851, 0.2321, ..., -0.1163, 0.0430, 0.0372]
INFO:root:[1][1046/2187] Loss_D: 0.4045 Loss_G: 2.1323 R1: 0.0368 R2: 0.0292 w_avg: [ 0.2274, 0.2853, 0.2325, ..., -0.1161, 0.0431, 0.0372]
INFO:root:[1][1047/2187] Loss_D: 0.2998 Loss_G: 2.1067 R1: 0.0344 R2: 0.0296 w_avg: [ 0.2274, 0.2850, 0.2326, ..., -0.1162, 0.0436, 0.0376]
INFO:root:[1][1048/2187] Loss_D: 0.3725 Loss_G: 2.0637 R1: 0.0374 R2: 0.0363 w_avg: [ 0.2275, 0.2849, 0.2329, ..., -0.1161, 0.0435, 0.0374]
INFO:root:[1][1049/2187] Loss_D: 0.5578 Loss_G: 2.9696 R1: 0.0347 R2: 0.0401 w_avg: [ 0.2270, 0.2850, 0.2326, ..., -0.1161, 0.0434, 0.0373]
INFO:root:[1][1050/2187] Loss_D: 0.4059 Loss_G: 2.5165 R1: 0.0418 R2: 0.0370 w_avg: [ 0.2268, 0.2849, 0.2324, ..., -0.1160, 0.0435, 0.0371]
INFO:root:[1][1051/2187] Loss_D: 0.2460 Loss_G: 2.8867 R1: 0.0411 R2: 0.0318 w_avg: [ 0.2269, 0.2849, 0.2327, ..., -0.1160, 0.0434, 0.0370]
INFO:root:[1][1052/2187] Loss_D: 0.2956 Loss_G: 2.5492 R1: 0.0334 R2: 0.0351 w_avg: [ 0.2264, 0.2844, 0.2327, ..., -0.1161, 0.0434, 0.0372]
INFO:root:[1][1053/2187] Loss_D: 0.2717 Loss_G: 2.4381 R1: 0.0308 R2: 0.0312 w_avg: [ 0.2261, 0.2846, 0.2329, ..., -0.1160, 0.0432, 0.0372]
INFO:root:[1][1054/2187] Loss_D: 0.5207 Loss_G: 2.6171 R1: 0.0294 R2: 0.0407 w_avg: [ 0.2268, 0.2845, 0.2322, ..., -0.1160, 0.0432, 0.0372]
INFO:root:[1][1055/2187] Loss_D: 0.2879 Loss_G: 2.2714 R1: 0.0286 R2: 0.0326 w_avg: [ 0.2267, 0.2845, 0.2322, ..., -0.1158, 0.0430, 0.0372]
INFO:root:[1][1056/2187] Loss_D: 0.6900 Loss_G: 2.7124 R1: 0.0296 R2: 0.0301 w_avg: [ 0.2265, 0.2844, 0.2319, ..., -0.1157, 0.0429, 0.0373]
INFO:root:[1][1057/2187] Loss_D: 0.3405 Loss_G: 2.7706 R1: 0.0309 R2: 0.0317 w_avg: [ 0.2266, 0.2844, 0.2323, ..., -0.1156, 0.0428, 0.0373]
INFO:root:[1][1058/2187] Loss_D: 0.3598 Loss_G: 1.4529 R1: 0.0298 R2: 0.0453 w_avg: [ 0.2266, 0.2844, 0.2323, ..., -0.1158, 0.0429, 0.0370]
INFO:root:[1][1059/2187] Loss_D: 0.3289 Loss_G: 1.6039 R1: 0.0337 R2: 0.0384 w_avg: [ 0.2265, 0.2842, 0.2321, ..., -0.1158, 0.0426, 0.0370]
INFO:root:[1][1060/2187] Loss_D: 0.5272 Loss_G: 2.2800 R1: 0.0318 R2: 0.0441 w_avg: [ 0.2264, 0.2845, 0.2328, ..., -0.1158, 0.0422, 0.0368]
INFO:root:[1][1061/2187] Loss_D: 0.2927 Loss_G: 2.5341 R1: 0.0409 R2: 0.0324 w_avg: [ 0.2261, 0.2844, 0.2324, ..., -0.1160, 0.0421, 0.0366]
INFO:root:[1][1062/2187] Loss_D: 0.4990 Loss_G: 2.3128 R1: 0.0361 R2: 0.0398 w_avg: [ 0.2263, 0.2842, 0.2322, ..., -0.1160, 0.0422, 0.0364]
INFO:root:[1][1063/2187] Loss_D: 0.3010 Loss_G: 1.8173 R1: 0.0404 R2: 0.0354 w_avg: [ 0.2263, 0.2841, 0.2326, ..., -0.1160, 0.0422, 0.0366]
INFO:root:[1][1064/2187] Loss_D: 0.3336 Loss_G: 2.0234 R1: 0.0338 R2: 0.0409 w_avg: [ 0.2263, 0.2840, 0.2325, ..., -0.1160, 0.0421, 0.0369]
INFO:root:[1][1065/2187] Loss_D: 0.3619 Loss_G: 2.0955 R1: 0.0349 R2: 0.0411 w_avg: [ 0.2263, 0.2840, 0.2325, ..., -0.1160, 0.0420, 0.0367]
INFO:root:[1][1066/2187] Loss_D: 0.4574 Loss_G: 2.6341 R1: 0.0383 R2: 0.0368 w_avg: [ 0.2261, 0.2837, 0.2321, ..., -0.1161, 0.0422, 0.0367]
INFO:root:[1][1067/2187] Loss_D: 0.3840 Loss_G: 2.3683 R1: 0.0361 R2: 0.0439 w_avg: [ 0.2258, 0.2840, 0.2324, ..., -0.1162, 0.0419, 0.0364]
INFO:root:[1][1068/2187] Loss_D: 0.3417 Loss_G: 2.5413 R1: 0.0366 R2: 0.0384 w_avg: [ 0.2254, 0.2838, 0.2322, ..., -0.1161, 0.0419, 0.0365]
INFO:root:[1][1069/2187] Loss_D: 0.2508 Loss_G: 2.5558 R1: 0.0372 R2: 0.0426 w_avg: [ 0.2252, 0.2837, 0.2320, ..., -0.1163, 0.0420, 0.0364]
INFO:root:[1][1070/2187] Loss_D: 0.2824 Loss_G: 2.1490 R1: 0.0385 R2: 0.0363 w_avg: [ 0.2253, 0.2838, 0.2320, ..., -0.1162, 0.0419, 0.0364]
INFO:root:[1][1071/2187] Loss_D: 0.2763 Loss_G: 2.4994 R1: 0.0388 R2: 0.0349 w_avg: [ 0.2258, 0.2840, 0.2322, ..., -0.1161, 0.0419, 0.0360]
INFO:root:[1][1072/2187] Loss_D: 0.2957 Loss_G: 1.9520 R1: 0.0355 R2: 0.0333 w_avg: [ 0.2253, 0.2837, 0.2321, ..., -0.1160, 0.0417, 0.0361]
INFO:root:[1][1073/2187] Loss_D: 0.2824 Loss_G: 2.3534 R1: 0.0362 R2: 0.0381 w_avg: [ 0.2248, 0.2836, 0.2321, ..., -0.1162, 0.0414, 0.0358]
INFO:root:[1][1074/2187] Loss_D: 0.6578 Loss_G: 3.0588 R1: 0.0385 R2: 0.0356 w_avg: [ 0.2244, 0.2838, 0.2323, ..., -0.1161, 0.0413, 0.0354]
INFO:root:[1][1075/2187] Loss_D: 0.2121 Loss_G: 2.5121 R1: 0.0382 R2: 0.0219 w_avg: [ 0.2247, 0.2835, 0.2324, ..., -0.1158, 0.0409, 0.0354]
INFO:root:[1][1076/2187] Loss_D: 0.1992 Loss_G: 2.6152 R1: 0.0335 R2: 0.0216 w_avg: [ 0.2243, 0.2829, 0.2321, ..., -0.1159, 0.0406, 0.0353]
INFO:root:[1][1077/2187] Loss_D: 0.3035 Loss_G: 2.3767 R1: 0.0348 R2: 0.0301 w_avg: [ 0.2244, 0.2827, 0.2320, ..., -0.1160, 0.0409, 0.0353]
INFO:root:[1][1078/2187] Loss_D: 0.4125 Loss_G: 2.3989 R1: 0.0407 R2: 0.0357 w_avg: [ 0.2243, 0.2825, 0.2317, ..., -0.1159, 0.0408, 0.0354]
INFO:root:[1][1079/2187] Loss_D: 0.2524 Loss_G: 2.2598 R1: 0.0354 R2: 0.0328 w_avg: [ 0.2241, 0.2826, 0.2314, ..., -0.1161, 0.0406, 0.0355]
INFO:root:[1][1080/2187] Loss_D: 0.3336 Loss_G: 1.9295 R1: 0.0366 R2: 0.0460 w_avg: [ 0.2241, 0.2822, 0.2311, ..., -0.1163, 0.0408, 0.0356]
INFO:root:[1][1081/2187] Loss_D: 0.2743 Loss_G: 1.7677 R1: 0.0414 R2: 0.0392 w_avg: [ 0.2245, 0.2825, 0.2314, ..., -0.1159, 0.0408, 0.0355]
INFO:root:[1][1082/2187] Loss_D: 0.2378 Loss_G: 1.7970 R1: 0.0404 R2: 0.0389 w_avg: [ 0.2245, 0.2824, 0.2322, ..., -0.1160, 0.0408, 0.0355]
INFO:root:[1][1083/2187] Loss_D: 0.5247 Loss_G: 2.5378 R1: 0.0387 R2: 0.0454 w_avg: [ 0.2244, 0.2822, 0.2325, ..., -0.1159, 0.0409, 0.0355]
INFO:root:[1][1084/2187] Loss_D: 0.3470 Loss_G: 2.4786 R1: 0.0410 R2: 0.0316 w_avg: [ 0.2245, 0.2820, 0.2321, ..., -0.1159, 0.0409, 0.0356]
INFO:root:[1][1085/2187] Loss_D: 0.2191 Loss_G: 2.5028 R1: 0.0388 R2: 0.0335 w_avg: [ 0.2244, 0.2818, 0.2323, ..., -0.1157, 0.0408, 0.0354]
INFO:root:[1][1086/2187] Loss_D: 0.4026 Loss_G: 2.2615 R1: 0.0400 R2: 0.0423 w_avg: [ 0.2240, 0.2817, 0.2320, ..., -0.1158, 0.0409, 0.0355]
INFO:root:[1][1087/2187] Loss_D: 0.3581 Loss_G: 2.3370 R1: 0.0468 R2: 0.0437 w_avg: [ 0.2238, 0.2816, 0.2320, ..., -0.1159, 0.0407, 0.0356]
INFO:root:[1][1088/2187] Loss_D: 0.3104 Loss_G: 2.5812 R1: 0.0520 R2: 0.0329 w_avg: [ 0.2238, 0.2818, 0.2318, ..., -0.1159, 0.0406, 0.0356]
INFO:root:[1][1089/2187] Loss_D: 0.3048 Loss_G: 2.3824 R1: 0.0457 R2: 0.0348 w_avg: [ 0.2235, 0.2818, 0.2320, ..., -0.1161, 0.0404, 0.0355]
INFO:root:[1][1090/2187] Loss_D: 0.3009 Loss_G: 2.5627 R1: 0.0424 R2: 0.0412 w_avg: [ 0.2238, 0.2822, 0.2324, ..., -0.1161, 0.0403, 0.0353]
INFO:root:[1][1091/2187] Loss_D: 0.2536 Loss_G: 2.7469 R1: 0.0427 R2: 0.0401 w_avg: [ 0.2238, 0.2821, 0.2327, ..., -0.1161, 0.0402, 0.0351]
INFO:root:[1][1092/2187] Loss_D: 0.4282 Loss_G: 1.9052 R1: 0.0453 R2: 0.0501 w_avg: [ 0.2238, 0.2816, 0.2332, ..., -0.1163, 0.0401, 0.0351]
INFO:root:[1][1093/2187] Loss_D: 0.2810 Loss_G: 2.0252 R1: 0.0409 R2: 0.0317 w_avg: [ 0.2242, 0.2816, 0.2337, ..., -0.1161, 0.0404, 0.0350]
INFO:root:[1][1094/2187] Loss_D: 0.2067 Loss_G: 1.8025 R1: 0.0395 R2: 0.0276 w_avg: [ 0.2241, 0.2814, 0.2340, ..., -0.1163, 0.0403, 0.0350]
INFO:root:[1][1095/2187] Loss_D: 0.4428 Loss_G: 2.2943 R1: 0.0374 R2: 0.0374 w_avg: [ 0.2240, 0.2812, 0.2340, ..., -0.1164, 0.0399, 0.0349]
INFO:root:[1][1096/2187] Loss_D: 0.6362 Loss_G: 1.4999 R1: 0.0374 R2: 0.0293 w_avg: [ 0.2242, 0.2807, 0.2340, ..., -0.1166, 0.0401, 0.0353]
INFO:root:[1][1097/2187] Loss_D: 0.5035 Loss_G: 2.1560 R1: 0.0354 R2: 0.0392 w_avg: [ 0.2241, 0.2806, 0.2346, ..., -0.1167, 0.0401, 0.0350]
INFO:root:[1][1098/2187] Loss_D: 0.2542 Loss_G: 1.7614 R1: 0.0333 R2: 0.0276 w_avg: [ 0.2236, 0.2806, 0.2342, ..., -0.1169, 0.0402, 0.0349]
INFO:root:[1][1099/2187] Loss_D: 0.5647 Loss_G: 2.4229 R1: 0.0378 R2: 0.0384 w_avg: [ 0.2236, 0.2809, 0.2339, ..., -0.1171, 0.0407, 0.0348]
INFO:root:[1][1100/2187] Loss_D: 0.3863 Loss_G: 2.5540 R1: 0.0307 R2: 0.0219 w_avg: [ 0.2243, 0.2809, 0.2337, ..., -0.1169, 0.0409, 0.0353]
INFO:root:[1][1101/2187] Loss_D: 0.4687 Loss_G: 2.9154 R1: 0.0324 R2: 0.0229 w_avg: [ 0.2245, 0.2809, 0.2340, ..., -0.1170, 0.0408, 0.0354]
INFO:root:[1][1102/2187] Loss_D: 0.4401 Loss_G: 2.6191 R1: 0.0363 R2: 0.0309 w_avg: [ 0.2243, 0.2809, 0.2341, ..., -0.1171, 0.0407, 0.0357]
INFO:root:[1][1103/2187] Loss_D: 0.3008 Loss_G: 2.7660 R1: 0.0354 R2: 0.0180 w_avg: [ 0.2241, 0.2810, 0.2342, ..., -0.1170, 0.0408, 0.0355]
INFO:root:[1][1104/2187] Loss_D: 0.1916 Loss_G: 2.6016 R1: 0.0354 R2: 0.0219 w_avg: [ 0.2238, 0.2808, 0.2339, ..., -0.1170, 0.0409, 0.0358]
INFO:root:[1][1105/2187] Loss_D: 0.2386 Loss_G: 2.0305 R1: 0.0354 R2: 0.0325 w_avg: [ 0.2238, 0.2814, 0.2344, ..., -0.1172, 0.0407, 0.0357]
INFO:root:[1][1106/2187] Loss_D: 0.4470 Loss_G: 2.2397 R1: 0.0394 R2: 0.0398 w_avg: [ 0.2238, 0.2814, 0.2341, ..., -0.1172, 0.0406, 0.0354]
INFO:root:[1][1107/2187] Loss_D: 0.3768 Loss_G: 2.5981 R1: 0.0365 R2: 0.0324 w_avg: [ 0.2235, 0.2816, 0.2341, ..., -0.1171, 0.0405, 0.0352]
INFO:root:[1][1108/2187] Loss_D: 0.2624 Loss_G: 1.8899 R1: 0.0392 R2: 0.0344 w_avg: [ 0.2238, 0.2817, 0.2342, ..., -0.1168, 0.0403, 0.0354]
INFO:root:[1][1109/2187] Loss_D: 0.5289 Loss_G: 1.6660 R1: 0.0449 R2: 0.0376 w_avg: [ 0.2236, 0.2816, 0.2339, ..., -0.1167, 0.0403, 0.0353]
INFO:root:[1][1110/2187] Loss_D: 0.3904 Loss_G: 2.5754 R1: 0.0400 R2: 0.0442 w_avg: [ 0.2233, 0.2815, 0.2336, ..., -0.1169, 0.0404, 0.0350]
INFO:root:[1][1111/2187] Loss_D: 0.3744 Loss_G: 2.9338 R1: 0.0397 R2: 0.0453 w_avg: [ 0.2233, 0.2815, 0.2334, ..., -0.1170, 0.0403, 0.0349]
INFO:root:[1][1112/2187] Loss_D: 0.6098 Loss_G: 2.4504 R1: 0.0411 R2: 0.0386 w_avg: [ 0.2237, 0.2815, 0.2335, ..., -0.1167, 0.0401, 0.0348]
INFO:root:[1][1113/2187] Loss_D: 0.3559 Loss_G: 2.0960 R1: 0.0414 R2: 0.0361 w_avg: [ 0.2234, 0.2816, 0.2333, ..., -0.1166, 0.0398, 0.0347]
INFO:root:[1][1114/2187] Loss_D: 0.3744 Loss_G: 2.7675 R1: 0.0396 R2: 0.0397 w_avg: [ 0.2234, 0.2816, 0.2336, ..., -0.1167, 0.0401, 0.0344]
INFO:root:[1][1115/2187] Loss_D: 0.3407 Loss_G: 2.3886 R1: 0.0419 R2: 0.0323 w_avg: [ 0.2236, 0.2817, 0.2332, ..., -0.1168, 0.0402, 0.0345]
INFO:root:[1][1116/2187] Loss_D: 0.2574 Loss_G: 2.4331 R1: 0.0369 R2: 0.0304 w_avg: [ 0.2231, 0.2812, 0.2333, ..., -0.1168, 0.0403, 0.0343]
INFO:root:[1][1117/2187] Loss_D: 0.3681 Loss_G: 2.7432 R1: 0.0427 R2: 0.0404 w_avg: [ 0.2232, 0.2812, 0.2334, ..., -0.1167, 0.0400, 0.0342]
INFO:root:[1][1118/2187] Loss_D: 0.4060 Loss_G: 1.9943 R1: 0.0399 R2: 0.0378 w_avg: [ 0.2230, 0.2810, 0.2333, ..., -0.1168, 0.0399, 0.0344]
INFO:root:[1][1119/2187] Loss_D: 0.4783 Loss_G: 2.1349 R1: 0.0408 R2: 0.0391 w_avg: [ 0.2236, 0.2811, 0.2335, ..., -0.1168, 0.0400, 0.0343]
INFO:root:[1][1120/2187] Loss_D: 0.2755 Loss_G: 2.0259 R1: 0.0369 R2: 0.0317 w_avg: [ 0.2235, 0.2811, 0.2335, ..., -0.1168, 0.0400, 0.0344]
INFO:root:[1][1121/2187] Loss_D: 0.4178 Loss_G: 2.4084 R1: 0.0364 R2: 0.0320 w_avg: [ 0.2231, 0.2808, 0.2330, ..., -0.1169, 0.0400, 0.0343]
INFO:root:[1][1122/2187] Loss_D: 0.3754 Loss_G: 2.3693 R1: 0.0335 R2: 0.0214 w_avg: [ 0.2229, 0.2805, 0.2328, ..., -0.1166, 0.0402, 0.0344]
INFO:root:[1][1123/2187] Loss_D: 0.2955 Loss_G: 2.5072 R1: 0.0385 R2: 0.0364 w_avg: [ 0.2227, 0.2804, 0.2329, ..., -0.1166, 0.0399, 0.0344]
INFO:root:[1][1124/2187] Loss_D: 0.3589 Loss_G: 1.8665 R1: 0.0367 R2: 0.0339 w_avg: [ 0.2229, 0.2805, 0.2325, ..., -0.1166, 0.0398, 0.0345]
INFO:root:[1][1125/2187] Loss_D: 0.3883 Loss_G: 2.1526 R1: 0.0394 R2: 0.0417 w_avg: [ 0.2234, 0.2807, 0.2328, ..., -0.1166, 0.0398, 0.0347]
INFO:root:[1][1126/2187] Loss_D: 0.2885 Loss_G: 1.8078 R1: 0.0357 R2: 0.0487 w_avg: [ 0.2236, 0.2812, 0.2330, ..., -0.1168, 0.0396, 0.0345]
INFO:root:[1][1127/2187] Loss_D: 0.2549 Loss_G: 2.1387 R1: 0.0325 R2: 0.0295 w_avg: [ 0.2235, 0.2812, 0.2325, ..., -0.1169, 0.0394, 0.0344]
INFO:root:[1][1128/2187] Loss_D: 0.2732 Loss_G: 2.4108 R1: 0.0378 R2: 0.0282 w_avg: [ 0.2232, 0.2808, 0.2323, ..., -0.1169, 0.0394, 0.0344]
INFO:root:[1][1129/2187] Loss_D: 0.2452 Loss_G: 2.3588 R1: 0.0378 R2: 0.0393 w_avg: [ 0.2234, 0.2811, 0.2324, ..., -0.1168, 0.0392, 0.0344]
INFO:root:[1][1130/2187] Loss_D: 0.3001 Loss_G: 2.1192 R1: 0.0362 R2: 0.0376 w_avg: [ 0.2235, 0.2805, 0.2325, ..., -0.1168, 0.0395, 0.0344]
INFO:root:[1][1131/2187] Loss_D: 0.2727 Loss_G: 3.0883 R1: 0.0427 R2: 0.0550 w_avg: [ 0.2238, 0.2805, 0.2321, ..., -0.1169, 0.0392, 0.0343]
INFO:root:[1][1132/2187] Loss_D: 0.2654 Loss_G: 2.7814 R1: 0.0384 R2: 0.0286 w_avg: [ 0.2237, 0.2808, 0.2317, ..., -0.1170, 0.0390, 0.0342]
INFO:root:[1][1133/2187] Loss_D: 0.1650 Loss_G: 3.0257 R1: 0.0443 R2: 0.0242 w_avg: [ 0.2234, 0.2805, 0.2317, ..., -0.1166, 0.0391, 0.0345]
INFO:root:[1][1134/2187] Loss_D: 0.2650 Loss_G: 3.0599 R1: 0.0442 R2: 0.0304 w_avg: [ 0.2231, 0.2805, 0.2317, ..., -0.1163, 0.0390, 0.0345]
INFO:root:[1][1135/2187] Loss_D: 0.3183 Loss_G: 2.4573 R1: 0.0372 R2: 0.0356 w_avg: [ 0.2228, 0.2801, 0.2318, ..., -0.1161, 0.0387, 0.0342]
INFO:root:[1][1136/2187] Loss_D: 0.7048 Loss_G: 2.2214 R1: 0.0407 R2: 0.0413 w_avg: [ 0.2226, 0.2803, 0.2318, ..., -0.1159, 0.0385, 0.0339]
INFO:root:[1][1137/2187] Loss_D: 0.3955 Loss_G: 2.4310 R1: 0.0394 R2: 0.0365 w_avg: [ 0.2227, 0.2799, 0.2317, ..., -0.1160, 0.0386, 0.0342]
INFO:root:[1][1138/2187] Loss_D: 0.4418 Loss_G: 2.1013 R1: 0.0455 R2: 0.0362 w_avg: [ 0.2221, 0.2797, 0.2313, ..., -0.1161, 0.0386, 0.0341]
INFO:root:[1][1139/2187] Loss_D: 0.3336 Loss_G: 1.8065 R1: 0.0355 R2: 0.0330 w_avg: [ 0.2218, 0.2799, 0.2314, ..., -0.1161, 0.0384, 0.0340]
INFO:root:[1][1140/2187] Loss_D: 0.4079 Loss_G: 2.4578 R1: 0.0391 R2: 0.0274 w_avg: [ 0.2215, 0.2798, 0.2317, ..., -0.1162, 0.0382, 0.0338]
INFO:root:[1][1141/2187] Loss_D: 0.3471 Loss_G: 2.2277 R1: 0.0389 R2: 0.0361 w_avg: [ 0.2210, 0.2798, 0.2319, ..., -0.1160, 0.0379, 0.0337]
INFO:root:[1][1142/2187] Loss_D: 0.3760 Loss_G: 2.1970 R1: 0.0367 R2: 0.0324 w_avg: [ 0.2207, 0.2799, 0.2319, ..., -0.1161, 0.0380, 0.0338]
INFO:root:[1][1143/2187] Loss_D: 0.4609 Loss_G: 2.2463 R1: 0.0395 R2: 0.0302 w_avg: [ 0.2206, 0.2795, 0.2316, ..., -0.1161, 0.0382, 0.0337]
INFO:root:[1][1144/2187] Loss_D: 0.3599 Loss_G: 2.0655 R1: 0.0423 R2: 0.0352 w_avg: [ 0.2203, 0.2796, 0.2314, ..., -0.1160, 0.0380, 0.0339]
INFO:root:[1][1145/2187] Loss_D: 0.3880 Loss_G: 2.4019 R1: 0.0387 R2: 0.0341 w_avg: [ 0.2199, 0.2793, 0.2317, ..., -0.1161, 0.0383, 0.0337]
INFO:root:[1][1146/2187] Loss_D: 0.2848 Loss_G: 2.2452 R1: 0.0428 R2: 0.0368 w_avg: [ 0.2200, 0.2793, 0.2317, ..., -0.1163, 0.0385, 0.0334]
INFO:root:[1][1147/2187] Loss_D: 0.4686 Loss_G: 2.2972 R1: 0.0434 R2: 0.0421 w_avg: [ 0.2202, 0.2795, 0.2316, ..., -0.1163, 0.0385, 0.0336]
INFO:root:[1][1148/2187] Loss_D: 0.3608 Loss_G: 2.4736 R1: 0.0416 R2: 0.0441 w_avg: [ 0.2199, 0.2792, 0.2315, ..., -0.1161, 0.0382, 0.0334]
INFO:root:[1][1149/2187] Loss_D: 0.3536 Loss_G: 2.3992 R1: 0.0397 R2: 0.0568 w_avg: [ 0.2205, 0.2792, 0.2316, ..., -0.1159, 0.0382, 0.0334]
INFO:root:[1][1150/2187] Loss_D: 0.3094 Loss_G: 2.6000 R1: 0.0601 R2: 0.0371 w_avg: [ 0.2200, 0.2791, 0.2316, ..., -0.1157, 0.0381, 0.0336]
INFO:root:[1][1151/2187] Loss_D: 0.2120 Loss_G: 2.2118 R1: 0.0427 R2: 0.0367 w_avg: [ 0.2200, 0.2790, 0.2315, ..., -0.1158, 0.0381, 0.0338]
INFO:root:[1][1152/2187] Loss_D: 0.3562 Loss_G: 2.3787 R1: 0.0414 R2: 0.0346 w_avg: [ 0.2202, 0.2787, 0.2313, ..., -0.1159, 0.0382, 0.0336]
INFO:root:[1][1153/2187] Loss_D: 0.4743 Loss_G: 2.2390 R1: 0.0469 R2: 0.0449 w_avg: [ 0.2207, 0.2787, 0.2312, ..., -0.1158, 0.0382, 0.0338]
INFO:root:[1][1154/2187] Loss_D: 0.2018 Loss_G: 2.5596 R1: 0.0449 R2: 0.0414 w_avg: [ 0.2208, 0.2786, 0.2307, ..., -0.1161, 0.0381, 0.0339]
INFO:root:[1][1155/2187] Loss_D: 0.6533 Loss_G: 2.2536 R1: 0.0427 R2: 0.0507 w_avg: [ 0.2215, 0.2786, 0.2302, ..., -0.1160, 0.0384, 0.0337]
INFO:root:[1][1156/2187] Loss_D: 0.3805 Loss_G: 2.0843 R1: 0.0434 R2: 0.0411 w_avg: [ 0.2214, 0.2785, 0.2301, ..., -0.1160, 0.0385, 0.0341]
INFO:root:[1][1157/2187] Loss_D: 0.3204 Loss_G: 1.4181 R1: 0.0419 R2: 0.0467 w_avg: [ 0.2212, 0.2781, 0.2299, ..., -0.1160, 0.0384, 0.0339]
INFO:root:[1][1158/2187] Loss_D: 0.7201 Loss_G: 2.3412 R1: 0.0448 R2: 0.0407 w_avg: [ 0.2215, 0.2779, 0.2296, ..., -0.1161, 0.0384, 0.0339]
INFO:root:[1][1159/2187] Loss_D: 0.3172 Loss_G: 2.0346 R1: 0.0386 R2: 0.0324 w_avg: [ 0.2224, 0.2781, 0.2297, ..., -0.1161, 0.0383, 0.0341]
INFO:root:[1][1160/2187] Loss_D: 0.2802 Loss_G: 2.2000 R1: 0.0346 R2: 0.0360 w_avg: [ 0.2220, 0.2779, 0.2294, ..., -0.1157, 0.0382, 0.0342]
INFO:root:[1][1161/2187] Loss_D: 0.4256 Loss_G: 2.3092 R1: 0.0373 R2: 0.0359 w_avg: [ 0.2219, 0.2776, 0.2292, ..., -0.1158, 0.0381, 0.0342]
INFO:root:[1][1162/2187] Loss_D: 0.3556 Loss_G: 2.4565 R1: 0.0389 R2: 0.0369 w_avg: [ 0.2222, 0.2774, 0.2290, ..., -0.1157, 0.0383, 0.0342]
INFO:root:[1][1163/2187] Loss_D: 0.3276 Loss_G: 2.2877 R1: 0.0333 R2: 0.0340 w_avg: [ 0.2223, 0.2774, 0.2289, ..., -0.1158, 0.0382, 0.0344]
INFO:root:[1][1164/2187] Loss_D: 0.3865 Loss_G: 2.5350 R1: 0.0381 R2: 0.0360 w_avg: [ 0.2220, 0.2772, 0.2288, ..., -0.1159, 0.0380, 0.0342]
INFO:root:[1][1165/2187] Loss_D: 0.7157 Loss_G: 2.0481 R1: 0.0382 R2: 0.0301 w_avg: [ 0.2217, 0.2771, 0.2289, ..., -0.1160, 0.0380, 0.0345]
INFO:root:[1][1166/2187] Loss_D: 0.2870 Loss_G: 2.6274 R1: 0.0347 R2: 0.0296 w_avg: [ 0.2215, 0.2768, 0.2286, ..., -0.1160, 0.0378, 0.0345]
INFO:root:[1][1167/2187] Loss_D: 0.3874 Loss_G: 2.8131 R1: 0.0338 R2: 0.0452 w_avg: [ 0.2212, 0.2765, 0.2288, ..., -0.1161, 0.0375, 0.0347]
INFO:root:[1][1168/2187] Loss_D: 0.2476 Loss_G: 2.5308 R1: 0.0393 R2: 0.0364 w_avg: [ 0.2212, 0.2767, 0.2288, ..., -0.1160, 0.0375, 0.0345]
INFO:root:[1][1169/2187] Loss_D: 0.2292 Loss_G: 2.7849 R1: 0.0395 R2: 0.0282 w_avg: [ 0.2209, 0.2768, 0.2287, ..., -0.1162, 0.0375, 0.0345]
INFO:root:[1][1170/2187] Loss_D: 0.2471 Loss_G: 2.7530 R1: 0.0415 R2: 0.0392 w_avg: [ 0.2208, 0.2761, 0.2290, ..., -0.1163, 0.0377, 0.0342]
INFO:root:[1][1171/2187] Loss_D: 0.2912 Loss_G: 2.7828 R1: 0.0386 R2: 0.0470 w_avg: [ 0.2208, 0.2760, 0.2287, ..., -0.1162, 0.0376, 0.0342]
INFO:root:[1][1172/2187] Loss_D: 0.3510 Loss_G: 2.4242 R1: 0.0439 R2: 0.0470 w_avg: [ 0.2208, 0.2754, 0.2282, ..., -0.1163, 0.0375, 0.0343]
INFO:root:[1][1173/2187] Loss_D: 0.3589 Loss_G: 2.6936 R1: 0.0420 R2: 0.0462 w_avg: [ 0.2202, 0.2755, 0.2280, ..., -0.1163, 0.0373, 0.0344]
INFO:root:[1][1174/2187] Loss_D: 0.4243 Loss_G: 2.9584 R1: 0.0402 R2: 0.0476 w_avg: [ 0.2202, 0.2751, 0.2279, ..., -0.1164, 0.0376, 0.0340]
INFO:root:[1][1175/2187] Loss_D: 0.3733 Loss_G: 3.1426 R1: 0.0426 R2: 0.0410 w_avg: [ 0.2205, 0.2756, 0.2279, ..., -0.1164, 0.0380, 0.0345]
INFO:root:[1][1176/2187] Loss_D: 0.2454 Loss_G: 2.6300 R1: 0.0413 R2: 0.0403 w_avg: [ 0.2202, 0.2755, 0.2274, ..., -0.1164, 0.0377, 0.0348]
INFO:root:[1][1177/2187] Loss_D: 0.3801 Loss_G: 2.6383 R1: 0.0441 R2: 0.0357 w_avg: [ 0.2197, 0.2758, 0.2272, ..., -0.1160, 0.0375, 0.0351]
INFO:root:[1][1178/2187] Loss_D: 0.3649 Loss_G: 3.0002 R1: 0.0432 R2: 0.0367 w_avg: [ 0.2193, 0.2755, 0.2270, ..., -0.1160, 0.0374, 0.0353]
INFO:root:[1][1179/2187] Loss_D: 0.2920 Loss_G: 2.6144 R1: 0.0360 R2: 0.0310 w_avg: [ 0.2190, 0.2752, 0.2270, ..., -0.1161, 0.0378, 0.0351]
INFO:root:[1][1180/2187] Loss_D: 0.5007 Loss_G: 2.2863 R1: 0.0384 R2: 0.0461 w_avg: [ 0.2189, 0.2750, 0.2269, ..., -0.1162, 0.0377, 0.0349]
INFO:root:[1][1181/2187] Loss_D: 0.1407 Loss_G: 2.9060 R1: 0.0375 R2: 0.0334 w_avg: [ 0.2185, 0.2752, 0.2271, ..., -0.1163, 0.0379, 0.0349]
INFO:root:[1][1182/2187] Loss_D: 0.1868 Loss_G: 2.8648 R1: 0.0359 R2: 0.0367 w_avg: [ 0.2188, 0.2750, 0.2269, ..., -0.1165, 0.0380, 0.0351]
INFO:root:[1][1183/2187] Loss_D: 0.2366 Loss_G: 2.7709 R1: 0.0390 R2: 0.0305 w_avg: [ 0.2182, 0.2748, 0.2267, ..., -0.1164, 0.0380, 0.0357]
INFO:root:[1][1184/2187] Loss_D: 0.3723 Loss_G: 2.7463 R1: 0.0382 R2: 0.0446 w_avg: [ 0.2185, 0.2746, 0.2262, ..., -0.1166, 0.0377, 0.0357]
INFO:root:[1][1185/2187] Loss_D: 0.4308 Loss_G: 2.6968 R1: 0.0380 R2: 0.0423 w_avg: [ 0.2183, 0.2744, 0.2261, ..., -0.1166, 0.0376, 0.0354]
INFO:root:[1][1186/2187] Loss_D: 0.3583 Loss_G: 2.6087 R1: 0.0408 R2: 0.0436 w_avg: [ 0.2182, 0.2749, 0.2259, ..., -0.1168, 0.0375, 0.0352]
INFO:root:[1][1187/2187] Loss_D: 0.3373 Loss_G: 2.4891 R1: 0.0329 R2: 0.0444 w_avg: [ 0.2185, 0.2746, 0.2259, ..., -0.1168, 0.0376, 0.0355]
INFO:root:[1][1188/2187] Loss_D: 0.2762 Loss_G: 2.1016 R1: 0.0394 R2: 0.0365 w_avg: [ 0.2184, 0.2746, 0.2259, ..., -0.1170, 0.0375, 0.0355]
INFO:root:[1][1189/2187] Loss_D: 0.4593 Loss_G: 2.1876 R1: 0.0352 R2: 0.0373 w_avg: [ 0.2181, 0.2745, 0.2259, ..., -0.1171, 0.0373, 0.0355]
INFO:root:[1][1190/2187] Loss_D: 0.4738 Loss_G: 2.7073 R1: 0.0353 R2: 0.0404 w_avg: [ 0.2187, 0.2741, 0.2260, ..., -0.1171, 0.0374, 0.0355]
INFO:root:[1][1191/2187] Loss_D: 0.3345 Loss_G: 2.1512 R1: 0.0323 R2: 0.0445 w_avg: [ 0.2188, 0.2741, 0.2254, ..., -0.1171, 0.0376, 0.0355]
INFO:root:[1][1192/2187] Loss_D: 0.3559 Loss_G: 2.3180 R1: 0.0289 R2: 0.0155 w_avg: [ 0.2192, 0.2747, 0.2254, ..., -0.1171, 0.0376, 0.0354]
INFO:root:[1][1193/2187] Loss_D: 0.2574 Loss_G: 3.1382 R1: 0.0334 R2: 0.0246 w_avg: [ 0.2192, 0.2745, 0.2252, ..., -0.1172, 0.0378, 0.0354]
INFO:root:[1][1194/2187] Loss_D: 0.2748 Loss_G: 2.8754 R1: 0.0332 R2: 0.0284 w_avg: [ 0.2192, 0.2750, 0.2262, ..., -0.1171, 0.0379, 0.0351]
INFO:root:[1][1195/2187] Loss_D: 0.1996 Loss_G: 2.8830 R1: 0.0353 R2: 0.0239 w_avg: [ 0.2196, 0.2756, 0.2262, ..., -0.1172, 0.0383, 0.0349]
INFO:root:[1][1196/2187] Loss_D: 0.1378 Loss_G: 1.9011 R1: 0.0373 R2: 0.0221 w_avg: [ 0.2203, 0.2762, 0.2263, ..., -0.1170, 0.0380, 0.0348]
INFO:root:[1][1197/2187] Loss_D: 0.5803 Loss_G: 1.9907 R1: 0.0344 R2: 0.0330 w_avg: [ 0.2197, 0.2762, 0.2260, ..., -0.1171, 0.0379, 0.0350]
INFO:root:[1][1198/2187] Loss_D: 0.3188 Loss_G: 2.2692 R1: 0.0350 R2: 0.0180 w_avg: [ 0.2200, 0.2759, 0.2260, ..., -0.1171, 0.0378, 0.0350]
INFO:root:[1][1199/2187] Loss_D: 0.4671 Loss_G: 2.7243 R1: 0.0348 R2: 0.0247 w_avg: [ 0.2197, 0.2767, 0.2258, ..., -0.1170, 0.0375, 0.0349]
INFO:root:[1][1200/2187] Loss_D: 0.3068 Loss_G: 2.4487 R1: 0.0371 R2: 0.0240 w_avg: [ 0.2195, 0.2765, 0.2255, ..., -0.1169, 0.0373, 0.0351]
INFO:root:[1][1201/2187] Loss_D: 0.2036 Loss_G: 3.1768 R1: 0.0390 R2: 0.0281 w_avg: [ 0.2199, 0.2764, 0.2259, ..., -0.1170, 0.0375, 0.0349]
INFO:root:[1][1202/2187] Loss_D: 0.3049 Loss_G: 3.1725 R1: 0.0376 R2: 0.0329 w_avg: [ 0.2197, 0.2767, 0.2260, ..., -0.1170, 0.0376, 0.0349]
INFO:root:[1][1203/2187] Loss_D: 0.1892 Loss_G: 3.6563 R1: 0.0425 R2: 0.0331 w_avg: [ 0.2194, 0.2768, 0.2262, ..., -0.1171, 0.0375, 0.0347]
INFO:root:[1][1204/2187] Loss_D: 0.2739 Loss_G: 3.5528 R1: 0.0420 R2: 0.0478 w_avg: [ 0.2190, 0.2765, 0.2260, ..., -0.1171, 0.0374, 0.0346]
INFO:root:[1][1205/2187] Loss_D: 0.3045 Loss_G: 2.3056 R1: 0.0389 R2: 0.0431 w_avg: [ 0.2192, 0.2763, 0.2262, ..., -0.1171, 0.0375, 0.0344]
INFO:root:[1][1206/2187] Loss_D: 0.3385 Loss_G: 3.2336 R1: 0.0410 R2: 0.0442 w_avg: [ 0.2195, 0.2766, 0.2269, ..., -0.1172, 0.0375, 0.0340]
INFO:root:[1][1207/2187] Loss_D: 0.2057 Loss_G: 2.9346 R1: 0.0418 R2: 0.0426 w_avg: [ 0.2190, 0.2766, 0.2268, ..., -0.1171, 0.0373, 0.0340]
INFO:root:[1][1208/2187] Loss_D: 0.1950 Loss_G: 2.7415 R1: 0.0374 R2: 0.0332 w_avg: [ 0.2195, 0.2768, 0.2267, ..., -0.1171, 0.0377, 0.0341]
INFO:root:[1][1209/2187] Loss_D: 0.2729 Loss_G: 2.2974 R1: 0.0387 R2: 0.0400 w_avg: [ 0.2197, 0.2767, 0.2268, ..., -0.1172, 0.0380, 0.0339]
INFO:root:[1][1210/2187] Loss_D: 0.4004 Loss_G: 3.3454 R1: 0.0373 R2: 0.0499 w_avg: [ 0.2201, 0.2765, 0.2269, ..., -0.1172, 0.0385, 0.0338]
INFO:root:[1][1211/2187] Loss_D: 0.2571 Loss_G: 3.0981 R1: 0.0415 R2: 0.0373 w_avg: [ 0.2198, 0.2761, 0.2265, ..., -0.1172, 0.0387, 0.0337]
INFO:root:[1][1212/2187] Loss_D: 0.2049 Loss_G: 2.5880 R1: 0.0334 R2: 0.0377 w_avg: [ 0.2197, 0.2761, 0.2263, ..., -0.1172, 0.0385, 0.0337]
INFO:root:[1][1213/2187] Loss_D: 0.3340 Loss_G: 2.3092 R1: 0.0328 R2: 0.0404 w_avg: [ 0.2198, 0.2757, 0.2263, ..., -0.1169, 0.0382, 0.0340]
INFO:root:[1][1214/2187] Loss_D: 0.5129 Loss_G: 2.8563 R1: 0.0422 R2: 0.0352 w_avg: [ 0.2197, 0.2759, 0.2265, ..., -0.1168, 0.0382, 0.0343]
INFO:root:[1][1215/2187] Loss_D: 0.4314 Loss_G: 2.8002 R1: 0.0366 R2: 0.0335 w_avg: [ 0.2198, 0.2758, 0.2268, ..., -0.1169, 0.0382, 0.0340]
INFO:root:[1][1216/2187] Loss_D: 0.3733 Loss_G: 2.3681 R1: 0.0362 R2: 0.0316 w_avg: [ 0.2206, 0.2759, 0.2268, ..., -0.1170, 0.0380, 0.0341]
INFO:root:[1][1217/2187] Loss_D: 0.3493 Loss_G: 2.4482 R1: 0.0382 R2: 0.0426 w_avg: [ 0.2203, 0.2756, 0.2267, ..., -0.1171, 0.0378, 0.0340]
INFO:root:[1][1218/2187] Loss_D: 0.3169 Loss_G: 2.5705 R1: 0.0399 R2: 0.0400 w_avg: [ 0.2201, 0.2753, 0.2263, ..., -0.1172, 0.0379, 0.0339]
INFO:root:[1][1219/2187] Loss_D: 0.4594 Loss_G: 2.4728 R1: 0.0413 R2: 0.0471 w_avg: [ 0.2201, 0.2756, 0.2261, ..., -0.1171, 0.0379, 0.0340]
INFO:root:[1][1220/2187] Loss_D: 0.3660 Loss_G: 2.1980 R1: 0.0370 R2: 0.0324 w_avg: [ 0.2203, 0.2758, 0.2260, ..., -0.1172, 0.0378, 0.0338]
INFO:root:[1][1221/2187] Loss_D: 0.4715 Loss_G: 2.5245 R1: 0.0415 R2: 0.0336 w_avg: [ 0.2204, 0.2762, 0.2260, ..., -0.1173, 0.0377, 0.0338]
INFO:root:[1][1222/2187] Loss_D: 0.3560 Loss_G: 2.2027 R1: 0.0421 R2: 0.0403 w_avg: [ 0.2203, 0.2763, 0.2265, ..., -0.1170, 0.0377, 0.0335]
INFO:root:[1][1223/2187] Loss_D: 0.2364 Loss_G: 2.8416 R1: 0.0403 R2: 0.0313 w_avg: [ 0.2206, 0.2763, 0.2263, ..., -0.1169, 0.0378, 0.0336]
INFO:root:[1][1224/2187] Loss_D: 0.3318 Loss_G: 2.5065 R1: 0.0448 R2: 0.0421 w_avg: [ 0.2204, 0.2761, 0.2267, ..., -0.1166, 0.0374, 0.0338]
INFO:root:[1][1225/2187] Loss_D: 0.3893 Loss_G: 2.5208 R1: 0.0487 R2: 0.0470 w_avg: [ 0.2208, 0.2766, 0.2268, ..., -0.1165, 0.0372, 0.0336]
INFO:root:[1][1226/2187] Loss_D: 0.3027 Loss_G: 3.6374 R1: 0.0498 R2: 0.0412 w_avg: [ 0.2209, 0.2763, 0.2268, ..., -0.1165, 0.0376, 0.0334]
INFO:root:[1][1227/2187] Loss_D: 0.2222 Loss_G: 2.8498 R1: 0.0468 R2: 0.0337 w_avg: [ 0.2211, 0.2768, 0.2271, ..., -0.1164, 0.0377, 0.0334]
INFO:root:[1][1228/2187] Loss_D: 0.2666 Loss_G: 2.8343 R1: 0.0405 R2: 0.0385 w_avg: [ 0.2212, 0.2766, 0.2274, ..., -0.1166, 0.0379, 0.0334]
INFO:root:[1][1229/2187] Loss_D: 0.3042 Loss_G: 2.0147 R1: 0.0419 R2: 0.0362 w_avg: [ 0.2208, 0.2764, 0.2276, ..., -0.1166, 0.0379, 0.0333]
INFO:root:[1][1230/2187] Loss_D: 0.3868 Loss_G: 2.0156 R1: 0.0430 R2: 0.0434 w_avg: [ 0.2206, 0.2765, 0.2276, ..., -0.1166, 0.0377, 0.0334]
INFO:root:[1][1231/2187] Loss_D: 0.5026 Loss_G: 2.5128 R1: 0.0442 R2: 0.0500 w_avg: [ 0.2206, 0.2766, 0.2279, ..., -0.1165, 0.0378, 0.0334]
INFO:root:[1][1232/2187] Loss_D: 0.5036 Loss_G: 2.5559 R1: 0.0376 R2: 0.0429 w_avg: [ 0.2203, 0.2765, 0.2275, ..., -0.1164, 0.0376, 0.0331]
INFO:root:[1][1233/2187] Loss_D: 0.4045 Loss_G: 2.3370 R1: 0.0431 R2: 0.0473 w_avg: [ 0.2202, 0.2761, 0.2274, ..., -0.1164, 0.0373, 0.0330]
INFO:root:[1][1234/2187] Loss_D: 0.2401 Loss_G: 1.6951 R1: 0.0411 R2: 0.0427 w_avg: [ 0.2197, 0.2761, 0.2275, ..., -0.1163, 0.0371, 0.0331]
INFO:root:[1][1235/2187] Loss_D: 0.3447 Loss_G: 2.4812 R1: 0.0419 R2: 0.0381 w_avg: [ 0.2194, 0.2757, 0.2273, ..., -0.1164, 0.0372, 0.0330]
INFO:root:[1][1236/2187] Loss_D: 0.4184 Loss_G: 2.2376 R1: 0.0431 R2: 0.0405 w_avg: [ 0.2196, 0.2755, 0.2274, ..., -0.1163, 0.0373, 0.0327]
INFO:root:[1][1237/2187] Loss_D: 0.3278 Loss_G: 2.3270 R1: 0.0400 R2: 0.0376 w_avg: [ 0.2199, 0.2754, 0.2273, ..., -0.1165, 0.0373, 0.0323]
INFO:root:[1][1238/2187] Loss_D: 0.3395 Loss_G: 2.2502 R1: 0.0410 R2: 0.0370 w_avg: [ 0.2202, 0.2750, 0.2274, ..., -0.1166, 0.0373, 0.0323]
INFO:root:[1][1239/2187] Loss_D: 0.3323 Loss_G: 2.3747 R1: 0.0381 R2: 0.0314 w_avg: [ 0.2199, 0.2745, 0.2273, ..., -0.1168, 0.0371, 0.0320]
INFO:root:[1][1240/2187] Loss_D: 0.2589 Loss_G: 2.6379 R1: 0.0420 R2: 0.0304 w_avg: [ 0.2201, 0.2747, 0.2274, ..., -0.1168, 0.0368, 0.0317]
INFO:root:[1][1241/2187] Loss_D: 0.3613 Loss_G: 2.6868 R1: 0.0412 R2: 0.0339 w_avg: [ 0.2202, 0.2744, 0.2276, ..., -0.1169, 0.0366, 0.0314]
INFO:root:[1][1242/2187] Loss_D: 0.1833 Loss_G: 2.3487 R1: 0.0370 R2: 0.0360 w_avg: [ 0.2198, 0.2745, 0.2276, ..., -0.1169, 0.0367, 0.0315]
INFO:root:[1][1243/2187] Loss_D: 0.2683 Loss_G: 2.3889 R1: 0.0393 R2: 0.0580 w_avg: [ 0.2195, 0.2744, 0.2282, ..., -0.1171, 0.0371, 0.0314]
INFO:root:[1][1244/2187] Loss_D: 0.4008 Loss_G: 2.2183 R1: 0.0427 R2: 0.0268 w_avg: [ 0.2196, 0.2744, 0.2283, ..., -0.1171, 0.0374, 0.0312]
INFO:root:[1][1245/2187] Loss_D: 0.3219 Loss_G: 2.5783 R1: 0.0445 R2: 0.0412 w_avg: [ 0.2199, 0.2740, 0.2285, ..., -0.1173, 0.0371, 0.0311]
INFO:root:[1][1246/2187] Loss_D: 0.2707 Loss_G: 2.6877 R1: 0.0420 R2: 0.0337 w_avg: [ 0.2198, 0.2738, 0.2284, ..., -0.1175, 0.0371, 0.0308]
INFO:root:[1][1247/2187] Loss_D: 0.3072 Loss_G: 2.4656 R1: 0.0430 R2: 0.0393 w_avg: [ 0.2195, 0.2734, 0.2282, ..., -0.1176, 0.0371, 0.0307]
INFO:root:[1][1248/2187] Loss_D: 0.2341 Loss_G: 2.1717 R1: 0.0413 R2: 0.0434 w_avg: [ 0.2192, 0.2730, 0.2284, ..., -0.1177, 0.0371, 0.0304]
INFO:root:[1][1249/2187] Loss_D: 0.4363 Loss_G: 2.7324 R1: 0.0459 R2: 0.0400 w_avg: [ 0.2191, 0.2727, 0.2282, ..., -0.1178, 0.0372, 0.0304]
INFO:root:[1][1250/2187] Loss_D: 0.3286 Loss_G: 4.0868 R1: 0.0521 R2: 0.0311 w_avg: [ 0.2194, 0.2729, 0.2282, ..., -0.1179, 0.0371, 0.0303]
INFO:root:[1][1251/2187] Loss_D: 0.1913 Loss_G: 2.7756 R1: 0.0375 R2: 0.0247 w_avg: [ 0.2192, 0.2723, 0.2284, ..., -0.1178, 0.0371, 0.0302]
INFO:root:[1][1252/2187] Loss_D: 0.2754 Loss_G: 2.7746 R1: 0.0404 R2: 0.0453 w_avg: [ 0.2195, 0.2720, 0.2283, ..., -0.1178, 0.0372, 0.0302]
INFO:root:[1][1253/2187] Loss_D: 0.4008 Loss_G: 2.4247 R1: 0.0385 R2: 0.0448 w_avg: [ 0.2192, 0.2718, 0.2280, ..., -0.1178, 0.0376, 0.0299]
INFO:root:[1][1254/2187] Loss_D: 0.1989 Loss_G: 2.7620 R1: 0.0453 R2: 0.0382 w_avg: [ 0.2190, 0.2719, 0.2281, ..., -0.1179, 0.0373, 0.0298]
INFO:root:[1][1255/2187] Loss_D: 0.2340 Loss_G: 2.2549 R1: 0.0384 R2: 0.0376 w_avg: [ 0.2191, 0.2720, 0.2279, ..., -0.1178, 0.0371, 0.0298]
INFO:root:[1][1256/2187] Loss_D: 0.5376 Loss_G: 2.3708 R1: 0.0409 R2: 0.0362 w_avg: [ 0.2196, 0.2723, 0.2280, ..., -0.1177, 0.0371, 0.0297]
INFO:root:[1][1257/2187] Loss_D: 0.2787 Loss_G: 2.4233 R1: 0.0401 R2: 0.0378 w_avg: [ 0.2195, 0.2723, 0.2278, ..., -0.1176, 0.0370, 0.0298]
INFO:root:[1][1258/2187] Loss_D: 0.3462 Loss_G: 2.4756 R1: 0.0429 R2: 0.0294 w_avg: [ 0.2190, 0.2728, 0.2276, ..., -0.1177, 0.0370, 0.0294]
INFO:root:[1][1259/2187] Loss_D: 0.2363 Loss_G: 1.9881 R1: 0.0376 R2: 0.0376 w_avg: [ 0.2192, 0.2726, 0.2277, ..., -0.1177, 0.0372, 0.0292]
INFO:root:[1][1260/2187] Loss_D: 0.3960 Loss_G: 2.8820 R1: 0.0364 R2: 0.0367 w_avg: [ 0.2190, 0.2725, 0.2276, ..., -0.1176, 0.0372, 0.0293]
INFO:root:[1][1261/2187] Loss_D: 0.3308 Loss_G: 2.3635 R1: 0.0378 R2: 0.0422 w_avg: [ 0.2190, 0.2726, 0.2275, ..., -0.1177, 0.0372, 0.0292]
INFO:root:[1][1262/2187] Loss_D: 0.3562 Loss_G: 1.7783 R1: 0.0447 R2: 0.0394 w_avg: [ 0.2185, 0.2724, 0.2276, ..., -0.1179, 0.0370, 0.0293]
INFO:root:[1][1263/2187] Loss_D: 0.3654 Loss_G: 2.5515 R1: 0.0453 R2: 0.0484 w_avg: [ 0.2188, 0.2725, 0.2278, ..., -0.1179, 0.0373, 0.0293]
INFO:root:[1][1264/2187] Loss_D: 0.6873 Loss_G: 2.5797 R1: 0.0517 R2: 0.0496 w_avg: [ 0.2190, 0.2729, 0.2279, ..., -0.1178, 0.0371, 0.0295]
INFO:root:[1][1265/2187] Loss_D: 0.3120 Loss_G: 1.7525 R1: 0.0392 R2: 0.0330 w_avg: [ 0.2191, 0.2727, 0.2283, ..., -0.1176, 0.0373, 0.0294]
INFO:root:[1][1266/2187] Loss_D: 0.3058 Loss_G: 1.8912 R1: 0.0391 R2: 0.0317 w_avg: [ 0.2189, 0.2725, 0.2282, ..., -0.1176, 0.0370, 0.0295]
INFO:root:[1][1267/2187] Loss_D: 0.5550 Loss_G: 1.8762 R1: 0.0391 R2: 0.0352 w_avg: [ 0.2188, 0.2725, 0.2281, ..., -0.1177, 0.0371, 0.0298]
INFO:root:[1][1268/2187] Loss_D: 0.3743 Loss_G: 2.3314 R1: 0.0330 R2: 0.0273 w_avg: [ 0.2189, 0.2726, 0.2279, ..., -0.1176, 0.0370, 0.0298]
INFO:root:[1][1269/2187] Loss_D: 0.2439 Loss_G: 2.2423 R1: 0.0372 R2: 0.0240 w_avg: [ 0.2191, 0.2724, 0.2281, ..., -0.1175, 0.0372, 0.0296]
INFO:root:[1][1270/2187] Loss_D: 0.2388 Loss_G: 2.3188 R1: 0.0386 R2: 0.0301 w_avg: [ 0.2188, 0.2722, 0.2278, ..., -0.1176, 0.0371, 0.0296]
INFO:root:[1][1271/2187] Loss_D: 0.4329 Loss_G: 2.0406 R1: 0.0418 R2: 0.0349 w_avg: [ 0.2192, 0.2722, 0.2276, ..., -0.1177, 0.0370, 0.0293]
INFO:root:[1][1272/2187] Loss_D: 0.3761 Loss_G: 2.1977 R1: 0.0385 R2: 0.0270 w_avg: [ 0.2189, 0.2725, 0.2271, ..., -0.1179, 0.0370, 0.0293]
INFO:root:[1][1273/2187] Loss_D: 0.4590 Loss_G: 2.3985 R1: 0.0419 R2: 0.0369 w_avg: [ 0.2189, 0.2724, 0.2271, ..., -0.1180, 0.0370, 0.0292]
INFO:root:[1][1274/2187] Loss_D: 0.3065 Loss_G: 2.0951 R1: 0.0407 R2: 0.0625 w_avg: [ 0.2187, 0.2724, 0.2270, ..., -0.1177, 0.0369, 0.0292]
INFO:root:[1][1275/2187] Loss_D: 0.3946 Loss_G: 2.7899 R1: 0.0391 R2: 0.0344 w_avg: [ 0.2188, 0.2721, 0.2272, ..., -0.1179, 0.0370, 0.0291]
INFO:root:[1][1276/2187] Loss_D: 0.2298 Loss_G: 2.6562 R1: 0.0358 R2: 0.0275 w_avg: [ 0.2184, 0.2722, 0.2270, ..., -0.1179, 0.0370, 0.0293]
INFO:root:[1][1277/2187] Loss_D: 0.4149 Loss_G: 2.1569 R1: 0.0354 R2: 0.0337 w_avg: [ 0.2187, 0.2718, 0.2267, ..., -0.1181, 0.0367, 0.0293]
INFO:root:[1][1278/2187] Loss_D: 0.3752 Loss_G: 2.2585 R1: 0.0435 R2: 0.0374 w_avg: [ 0.2187, 0.2714, 0.2267, ..., -0.1181, 0.0366, 0.0292]
INFO:root:[1][1279/2187] Loss_D: 0.5638 Loss_G: 2.4764 R1: 0.0406 R2: 0.0450 w_avg: [ 0.2185, 0.2713, 0.2267, ..., -0.1181, 0.0365, 0.0291]
INFO:root:[1][1280/2187] Loss_D: 0.1885 Loss_G: 2.3534 R1: 0.0404 R2: 0.0313 w_avg: [ 0.2188, 0.2715, 0.2264, ..., -0.1179, 0.0366, 0.0293]
INFO:root:[1][1281/2187] Loss_D: 0.2489 Loss_G: 1.8524 R1: 0.0375 R2: 0.0380 w_avg: [ 0.2189, 0.2713, 0.2264, ..., -0.1179, 0.0367, 0.0291]
INFO:root:[1][1282/2187] Loss_D: 0.4137 Loss_G: 2.1825 R1: 0.0401 R2: 0.0414 w_avg: [ 0.2188, 0.2713, 0.2263, ..., -0.1178, 0.0364, 0.0295]
INFO:root:[1][1283/2187] Loss_D: 0.4311 Loss_G: 2.2236 R1: 0.0433 R2: 0.0451 w_avg: [ 0.2185, 0.2714, 0.2261, ..., -0.1177, 0.0363, 0.0298]
INFO:root:[1][1284/2187] Loss_D: 0.2222 Loss_G: 2.8174 R1: 0.0405 R2: 0.0220 w_avg: [ 0.2184, 0.2717, 0.2258, ..., -0.1175, 0.0364, 0.0295]
INFO:root:[1][1285/2187] Loss_D: 0.3813 Loss_G: 2.7134 R1: 0.0461 R2: 0.0226 w_avg: [ 0.2183, 0.2718, 0.2256, ..., -0.1174, 0.0365, 0.0294]
INFO:root:[1][1286/2187] Loss_D: 0.2510 Loss_G: 2.0252 R1: 0.0357 R2: 0.0318 w_avg: [ 0.2179, 0.2719, 0.2252, ..., -0.1174, 0.0364, 0.0291]
INFO:root:[1][1287/2187] Loss_D: 0.2731 Loss_G: 2.5974 R1: 0.0397 R2: 0.0437 w_avg: [ 0.2182, 0.2723, 0.2253, ..., -0.1173, 0.0363, 0.0291]
INFO:root:[1][1288/2187] Loss_D: 0.2038 Loss_G: 2.5782 R1: 0.0436 R2: 0.0378 w_avg: [ 0.2181, 0.2723, 0.2250, ..., -0.1173, 0.0365, 0.0290]
INFO:root:[1][1289/2187] Loss_D: 0.2570 Loss_G: 2.2099 R1: 0.0375 R2: 0.0273 w_avg: [ 0.2179, 0.2720, 0.2252, ..., -0.1175, 0.0368, 0.0293]
INFO:root:[1][1290/2187] Loss_D: 0.3260 Loss_G: 2.5317 R1: 0.0408 R2: 0.0291 w_avg: [ 0.2183, 0.2720, 0.2250, ..., -0.1176, 0.0368, 0.0293]
INFO:root:[1][1291/2187] Loss_D: 0.4262 Loss_G: 3.0072 R1: 0.0459 R2: 0.0331 w_avg: [ 0.2182, 0.2722, 0.2248, ..., -0.1175, 0.0373, 0.0292]
INFO:root:[1][1292/2187] Loss_D: 0.2700 Loss_G: 2.1504 R1: 0.0405 R2: 0.0321 w_avg: [ 0.2188, 0.2728, 0.2248, ..., -0.1174, 0.0374, 0.0291]
INFO:root:[1][1293/2187] Loss_D: 0.3996 Loss_G: 2.3456 R1: 0.0430 R2: 0.0466 w_avg: [ 0.2191, 0.2727, 0.2248, ..., -0.1176, 0.0374, 0.0289]
INFO:root:[1][1294/2187] Loss_D: 0.3331 Loss_G: 2.8020 R1: 0.0409 R2: 0.0342 w_avg: [ 0.2194, 0.2722, 0.2244, ..., -0.1175, 0.0378, 0.0287]
INFO:root:[1][1295/2187] Loss_D: 0.4125 Loss_G: 2.8161 R1: 0.0448 R2: 0.0400 w_avg: [ 0.2196, 0.2723, 0.2245, ..., -0.1175, 0.0379, 0.0286]
INFO:root:[1][1296/2187] Loss_D: 0.1898 Loss_G: 2.6821 R1: 0.0531 R2: 0.0257 w_avg: [ 0.2197, 0.2726, 0.2250, ..., -0.1176, 0.0381, 0.0282]
INFO:root:[1][1297/2187] Loss_D: 0.5074 Loss_G: 2.4767 R1: 0.0538 R2: 0.0469 w_avg: [ 0.2197, 0.2725, 0.2244, ..., -0.1176, 0.0382, 0.0285]
INFO:root:[1][1298/2187] Loss_D: 0.3215 Loss_G: 2.6083 R1: 0.0530 R2: 0.0367 w_avg: [ 0.2200, 0.2724, 0.2246, ..., -0.1175, 0.0382, 0.0281]
INFO:root:[1][1299/2187] Loss_D: 0.3025 Loss_G: 2.2917 R1: 0.0482 R2: 0.0382 w_avg: [ 0.2196, 0.2730, 0.2243, ..., -0.1175, 0.0380, 0.0287]
INFO:root:[1][1300/2187] Loss_D: 0.3081 Loss_G: 2.0651 R1: 0.0465 R2: 0.0410 w_avg: [ 0.2192, 0.2725, 0.2238, ..., -0.1176, 0.0379, 0.0285]
INFO:root:[1][1301/2187] Loss_D: 0.2236 Loss_G: 2.6362 R1: 0.0494 R2: 0.0341 w_avg: [ 0.2191, 0.2731, 0.2235, ..., -0.1174, 0.0378, 0.0289]
INFO:root:[1][1302/2187] Loss_D: 0.3634 Loss_G: 2.5839 R1: 0.0461 R2: 0.0329 w_avg: [ 0.2196, 0.2731, 0.2235, ..., -0.1176, 0.0376, 0.0290]
INFO:root:[1][1303/2187] Loss_D: 0.3947 Loss_G: 2.5752 R1: 0.0499 R2: 0.0374 w_avg: [ 0.2194, 0.2731, 0.2236, ..., -0.1176, 0.0378, 0.0289]
INFO:root:[1][1304/2187] Loss_D: 0.4922 Loss_G: 3.2350 R1: 0.0532 R2: 0.0377 w_avg: [ 0.2197, 0.2731, 0.2240, ..., -0.1178, 0.0376, 0.0288]
INFO:root:[1][1305/2187] Loss_D: 0.2228 Loss_G: 2.7186 R1: 0.0448 R2: 0.0353 w_avg: [ 0.2196, 0.2731, 0.2241, ..., -0.1178, 0.0376, 0.0290]
INFO:root:[1][1306/2187] Loss_D: 0.1857 Loss_G: 3.5163 R1: 0.0414 R2: 0.0292 w_avg: [ 0.2201, 0.2732, 0.2240, ..., -0.1178, 0.0374, 0.0295]
INFO:root:[1][1307/2187] Loss_D: 0.2121 Loss_G: 3.3132 R1: 0.0416 R2: 0.0347 w_avg: [ 0.2204, 0.2732, 0.2242, ..., -0.1178, 0.0371, 0.0296]
INFO:root:[1][1308/2187] Loss_D: 0.2539 Loss_G: 2.6900 R1: 0.0413 R2: 0.0394 w_avg: [ 0.2205, 0.2728, 0.2245, ..., -0.1180, 0.0377, 0.0295]
INFO:root:[1][1309/2187] Loss_D: 0.4062 Loss_G: 2.6125 R1: 0.0449 R2: 0.0479 w_avg: [ 0.2204, 0.2731, 0.2245, ..., -0.1181, 0.0376, 0.0295]
INFO:root:[1][1310/2187] Loss_D: 0.3318 Loss_G: 1.7446 R1: 0.0415 R2: 0.0425 w_avg: [ 0.2200, 0.2727, 0.2248, ..., -0.1183, 0.0373, 0.0295]
INFO:root:[1][1311/2187] Loss_D: 0.3775 Loss_G: 2.5869 R1: 0.0446 R2: 0.0456 w_avg: [ 0.2200, 0.2724, 0.2250, ..., -0.1184, 0.0372, 0.0297]
INFO:root:[1][1312/2187] Loss_D: 0.3775 Loss_G: 2.6707 R1: 0.0492 R2: 0.0466 w_avg: [ 0.2203, 0.2725, 0.2251, ..., -0.1183, 0.0370, 0.0297]
INFO:root:[1][1313/2187] Loss_D: 0.3023 Loss_G: 2.2879 R1: 0.0498 R2: 0.0403 w_avg: [ 0.2202, 0.2723, 0.2255, ..., -0.1184, 0.0370, 0.0294]
INFO:root:[1][1314/2187] Loss_D: 0.3547 Loss_G: 1.9148 R1: 0.0461 R2: 0.0414 w_avg: [ 0.2201, 0.2727, 0.2256, ..., -0.1184, 0.0367, 0.0293]
INFO:root:[1][1315/2187] Loss_D: 0.2406 Loss_G: 2.8938 R1: 0.0476 R2: 0.0359 w_avg: [ 0.2201, 0.2729, 0.2257, ..., -0.1186, 0.0366, 0.0293]
INFO:root:[1][1316/2187] Loss_D: 0.4094 Loss_G: 3.6016 R1: 0.0477 R2: 0.0400 w_avg: [ 0.2202, 0.2726, 0.2259, ..., -0.1186, 0.0365, 0.0293]
INFO:root:[1][1317/2187] Loss_D: 0.3951 Loss_G: 2.2990 R1: 0.0420 R2: 0.0425 w_avg: [ 0.2201, 0.2721, 0.2260, ..., -0.1185, 0.0367, 0.0293]
INFO:root:[1][1318/2187] Loss_D: 0.3211 Loss_G: 2.4299 R1: 0.0342 R2: 0.0104 w_avg: [ 0.2201, 0.2721, 0.2262, ..., -0.1185, 0.0366, 0.0295]
INFO:root:[1][1319/2187] Loss_D: 0.2160 Loss_G: 2.5858 R1: 0.0430 R2: 0.0258 w_avg: [ 0.2199, 0.2721, 0.2260, ..., -0.1184, 0.0365, 0.0293]
INFO:root:[1][1320/2187] Loss_D: 0.4472 Loss_G: 2.4810 R1: 0.0483 R2: 0.0333 w_avg: [ 0.2197, 0.2718, 0.2258, ..., -0.1185, 0.0366, 0.0293]
INFO:root:[1][1321/2187] Loss_D: 0.2785 Loss_G: 2.2051 R1: 0.0451 R2: 0.0468 w_avg: [ 0.2196, 0.2717, 0.2259, ..., -0.1185, 0.0364, 0.0290]
INFO:root:[1][1322/2187] Loss_D: 0.4734 Loss_G: 2.4406 R1: 0.0470 R2: 0.0418 w_avg: [ 0.2196, 0.2714, 0.2264, ..., -0.1187, 0.0366, 0.0288]
INFO:root:[1][1323/2187] Loss_D: 0.2725 Loss_G: 2.4220 R1: 0.0479 R2: 0.0235 w_avg: [ 0.2197, 0.2720, 0.2263, ..., -0.1186, 0.0368, 0.0289]
INFO:root:[1][1324/2187] Loss_D: 0.4899 Loss_G: 2.3236 R1: 0.0472 R2: 0.0374 w_avg: [ 0.2197, 0.2720, 0.2265, ..., -0.1187, 0.0367, 0.0287]
INFO:root:[1][1325/2187] Loss_D: 0.2639 Loss_G: 2.0473 R1: 0.0418 R2: 0.0200 w_avg: [ 0.2194, 0.2720, 0.2261, ..., -0.1188, 0.0367, 0.0287]
INFO:root:[1][1326/2187] Loss_D: 0.4347 Loss_G: 2.1221 R1: 0.0492 R2: 0.0335 w_avg: [ 0.2192, 0.2722, 0.2261, ..., -0.1188, 0.0369, 0.0286]
INFO:root:[1][1327/2187] Loss_D: 0.5113 Loss_G: 2.5666 R1: 0.0451 R2: 0.0355 w_avg: [ 0.2190, 0.2722, 0.2260, ..., -0.1188, 0.0367, 0.0288]
INFO:root:[1][1328/2187] Loss_D: 0.4174 Loss_G: 2.9046 R1: 0.0375 R2: 0.0374 w_avg: [ 0.2191, 0.2721, 0.2263, ..., -0.1190, 0.0368, 0.0285]
INFO:root:[1][1329/2187] Loss_D: 0.2524 Loss_G: 2.0228 R1: 0.0337 R2: 0.0296 w_avg: [ 0.2189, 0.2727, 0.2262, ..., -0.1189, 0.0365, 0.0283]
INFO:root:[1][1330/2187] Loss_D: 0.4774 Loss_G: 2.1546 R1: 0.0363 R2: 0.0329 w_avg: [ 0.2188, 0.2727, 0.2257, ..., -0.1191, 0.0366, 0.0282]
INFO:root:[1][1331/2187] Loss_D: 0.3464 Loss_G: 1.8793 R1: 0.0375 R2: 0.0372 w_avg: [ 0.2192, 0.2727, 0.2253, ..., -0.1192, 0.0362, 0.0283]
INFO:root:[1][1332/2187] Loss_D: 0.2809 Loss_G: 2.2722 R1: 0.0388 R2: 0.0350 w_avg: [ 0.2187, 0.2723, 0.2250, ..., -0.1192, 0.0359, 0.0285]
INFO:root:[1][1333/2187] Loss_D: 0.3663 Loss_G: 1.9232 R1: 0.0370 R2: 0.0419 w_avg: [ 0.2189, 0.2722, 0.2255, ..., -0.1193, 0.0356, 0.0282]
INFO:root:[1][1334/2187] Loss_D: 0.3936 Loss_G: 1.4330 R1: 0.0413 R2: 0.0425 w_avg: [ 0.2187, 0.2726, 0.2253, ..., -0.1192, 0.0355, 0.0286]
INFO:root:[1][1335/2187] Loss_D: 0.3768 Loss_G: 2.2742 R1: 0.0370 R2: 0.0417 w_avg: [ 0.2194, 0.2727, 0.2253, ..., -0.1192, 0.0358, 0.0288]
INFO:root:[1][1336/2187] Loss_D: 0.5172 Loss_G: 2.6033 R1: 0.0402 R2: 0.0350 w_avg: [ 0.2191, 0.2724, 0.2257, ..., -0.1189, 0.0356, 0.0285]
INFO:root:[1][1337/2187] Loss_D: 0.3486 Loss_G: 2.3272 R1: 0.0351 R2: 0.0329 w_avg: [ 0.2187, 0.2722, 0.2256, ..., -0.1190, 0.0354, 0.0284]
INFO:root:[1][1338/2187] Loss_D: 0.3855 Loss_G: 2.3341 R1: 0.0387 R2: 0.0298 w_avg: [ 0.2185, 0.2721, 0.2258, ..., -0.1189, 0.0356, 0.0284]
INFO:root:[1][1339/2187] Loss_D: 0.3354 Loss_G: 1.9713 R1: 0.0385 R2: 0.0320 w_avg: [ 0.2184, 0.2718, 0.2261, ..., -0.1188, 0.0357, 0.0283]
INFO:root:[1][1340/2187] Loss_D: 0.3809 Loss_G: 2.4147 R1: 0.0407 R2: 0.0376 w_avg: [ 0.2185, 0.2718, 0.2262, ..., -0.1189, 0.0360, 0.0282]
INFO:root:[1][1341/2187] Loss_D: 0.4301 Loss_G: 2.1751 R1: 0.0413 R2: 0.0427 w_avg: [ 0.2183, 0.2719, 0.2264, ..., -0.1191, 0.0361, 0.0284]
INFO:root:[1][1342/2187] Loss_D: 0.3966 Loss_G: 2.7349 R1: 0.0419 R2: 0.0395 w_avg: [ 0.2185, 0.2715, 0.2264, ..., -0.1192, 0.0361, 0.0283]
INFO:root:[1][1343/2187] Loss_D: 0.2963 Loss_G: 2.4625 R1: 0.0378 R2: 0.0404 w_avg: [ 0.2184, 0.2713, 0.2268, ..., -0.1192, 0.0363, 0.0282]
INFO:root:[1][1344/2187] Loss_D: 0.2505 Loss_G: 2.1598 R1: 0.0387 R2: 0.0409 w_avg: [ 0.2185, 0.2718, 0.2268, ..., -0.1190, 0.0363, 0.0285]
INFO:root:[1][1345/2187] Loss_D: 0.2815 Loss_G: 2.1413 R1: 0.0400 R2: 0.0396 w_avg: [ 0.2183, 0.2722, 0.2265, ..., -0.1190, 0.0362, 0.0286]
INFO:root:[1][1346/2187] Loss_D: 0.5323 Loss_G: 2.3833 R1: 0.0417 R2: 0.0530 w_avg: [ 0.2183, 0.2724, 0.2266, ..., -0.1190, 0.0361, 0.0289]
INFO:root:[1][1347/2187] Loss_D: 0.2474 Loss_G: 2.3707 R1: 0.0425 R2: 0.0348 w_avg: [ 0.2182, 0.2723, 0.2266, ..., -0.1190, 0.0359, 0.0289]
INFO:root:[1][1348/2187] Loss_D: 0.2898 Loss_G: 2.3520 R1: 0.0394 R2: 0.0388 w_avg: [ 0.2181, 0.2718, 0.2265, ..., -0.1190, 0.0359, 0.0287]
INFO:root:[1][1349/2187] Loss_D: 0.3664 Loss_G: 2.6623 R1: 0.0361 R2: 0.0420 w_avg: [ 0.2180, 0.2717, 0.2267, ..., -0.1192, 0.0358, 0.0286]
INFO:root:[1][1350/2187] Loss_D: 0.3395 Loss_G: 2.5052 R1: 0.0411 R2: 0.0451 w_avg: [ 0.2180, 0.2716, 0.2262, ..., -0.1194, 0.0353, 0.0287]
INFO:root:[1][1351/2187] Loss_D: 0.2737 Loss_G: 2.0159 R1: 0.0482 R2: 0.0339 w_avg: [ 0.2179, 0.2716, 0.2265, ..., -0.1192, 0.0350, 0.0285]
INFO:root:[1][1352/2187] Loss_D: 0.2829 Loss_G: 2.1843 R1: 0.0424 R2: 0.0415 w_avg: [ 0.2181, 0.2713, 0.2270, ..., -0.1192, 0.0351, 0.0283]
INFO:root:[1][1353/2187] Loss_D: 0.4088 Loss_G: 2.7258 R1: 0.0426 R2: 0.0395 w_avg: [ 0.2186, 0.2712, 0.2273, ..., -0.1193, 0.0352, 0.0282]
INFO:root:[1][1354/2187] Loss_D: 0.2373 Loss_G: 2.4686 R1: 0.0391 R2: 0.0348 w_avg: [ 0.2192, 0.2712, 0.2275, ..., -0.1195, 0.0354, 0.0281]
INFO:root:[1][1355/2187] Loss_D: 0.2137 Loss_G: 2.3165 R1: 0.0346 R2: 0.0372 w_avg: [ 0.2192, 0.2711, 0.2275, ..., -0.1197, 0.0353, 0.0282]
INFO:root:[1][1356/2187] Loss_D: 0.2654 Loss_G: 2.5846 R1: 0.0370 R2: 0.0333 w_avg: [ 0.2188, 0.2711, 0.2276, ..., -0.1198, 0.0355, 0.0282]
INFO:root:[1][1357/2187] Loss_D: 0.3272 Loss_G: 2.0836 R1: 0.0362 R2: 0.0417 w_avg: [ 0.2182, 0.2716, 0.2277, ..., -0.1197, 0.0353, 0.0282]
INFO:root:[1][1358/2187] Loss_D: 0.5353 Loss_G: 2.0812 R1: 0.0378 R2: 0.0414 w_avg: [ 0.2182, 0.2716, 0.2276, ..., -0.1198, 0.0355, 0.0282]
INFO:root:[1][1359/2187] Loss_D: 0.4762 Loss_G: 2.7425 R1: 0.0417 R2: 0.0358 w_avg: [ 0.2186, 0.2720, 0.2274, ..., -0.1198, 0.0353, 0.0286]
INFO:root:[1][1360/2187] Loss_D: 0.3094 Loss_G: 2.4499 R1: 0.0350 R2: 0.0302 w_avg: [ 0.2187, 0.2721, 0.2274, ..., -0.1198, 0.0350, 0.0286]
INFO:root:[1][1361/2187] Loss_D: 0.3923 Loss_G: 2.5077 R1: 0.0368 R2: 0.0294 w_avg: [ 0.2187, 0.2721, 0.2274, ..., -0.1197, 0.0349, 0.0286]
INFO:root:[1][1362/2187] Loss_D: 0.3092 Loss_G: 2.1243 R1: 0.0371 R2: 0.0298 w_avg: [ 0.2184, 0.2720, 0.2272, ..., -0.1199, 0.0349, 0.0287]
INFO:root:[1][1363/2187] Loss_D: 0.2445 Loss_G: 2.1368 R1: 0.0363 R2: 0.0329 w_avg: [ 0.2180, 0.2721, 0.2275, ..., -0.1200, 0.0347, 0.0288]
INFO:root:[1][1364/2187] Loss_D: 0.5271 Loss_G: 1.9558 R1: 0.0389 R2: 0.0356 w_avg: [ 0.2178, 0.2717, 0.2272, ..., -0.1199, 0.0346, 0.0288]
INFO:root:[1][1365/2187] Loss_D: 0.3180 Loss_G: 2.2057 R1: 0.0394 R2: 0.0309 w_avg: [ 0.2182, 0.2719, 0.2273, ..., -0.1196, 0.0354, 0.0285]
INFO:root:[1][1366/2187] Loss_D: 0.2763 Loss_G: 2.0421 R1: 0.0402 R2: 0.0407 w_avg: [ 0.2179, 0.2714, 0.2269, ..., -0.1196, 0.0354, 0.0289]
INFO:root:[1][1367/2187] Loss_D: 0.4202 Loss_G: 2.0169 R1: 0.0420 R2: 0.0368 w_avg: [ 0.2177, 0.2711, 0.2266, ..., -0.1195, 0.0351, 0.0290]
INFO:root:[1][1368/2187] Loss_D: 0.3756 Loss_G: 2.2713 R1: 0.0417 R2: 0.0354 w_avg: [ 0.2175, 0.2710, 0.2262, ..., -0.1197, 0.0351, 0.0288]
INFO:root:[1][1369/2187] Loss_D: 0.3640 Loss_G: 2.5698 R1: 0.0416 R2: 0.0368 w_avg: [ 0.2173, 0.2710, 0.2259, ..., -0.1199, 0.0350, 0.0288]
INFO:root:[1][1370/2187] Loss_D: 0.2619 Loss_G: 1.5544 R1: 0.0377 R2: 0.0264 w_avg: [ 0.2177, 0.2709, 0.2257, ..., -0.1199, 0.0352, 0.0288]
INFO:root:[1][1371/2187] Loss_D: 0.3950 Loss_G: 2.3790 R1: 0.0353 R2: 0.0396 w_avg: [ 0.2179, 0.2705, 0.2255, ..., -0.1200, 0.0350, 0.0288]
INFO:root:[1][1372/2187] Loss_D: 0.2423 Loss_G: 2.3121 R1: 0.0440 R2: 0.0306 w_avg: [ 0.2174, 0.2705, 0.2251, ..., -0.1201, 0.0351, 0.0289]
INFO:root:[1][1373/2187] Loss_D: 0.2192 Loss_G: 2.5462 R1: 0.0456 R2: 0.0319 w_avg: [ 0.2171, 0.2702, 0.2251, ..., -0.1201, 0.0350, 0.0287]
INFO:root:[1][1374/2187] Loss_D: 0.3214 Loss_G: 2.1836 R1: 0.0447 R2: 0.0393 w_avg: [ 0.2171, 0.2703, 0.2251, ..., -0.1201, 0.0349, 0.0287]
INFO:root:[1][1375/2187] Loss_D: 0.2631 Loss_G: 2.2650 R1: 0.0365 R2: 0.0403 w_avg: [ 0.2170, 0.2702, 0.2252, ..., -0.1200, 0.0347, 0.0284]
INFO:root:[1][1376/2187] Loss_D: 0.3789 Loss_G: 2.2030 R1: 0.0406 R2: 0.0462 w_avg: [ 0.2168, 0.2701, 0.2247, ..., -0.1199, 0.0349, 0.0283]
INFO:root:[1][1377/2187] Loss_D: 0.5213 Loss_G: 2.0186 R1: 0.0406 R2: 0.0374 w_avg: [ 0.2167, 0.2701, 0.2247, ..., -0.1200, 0.0348, 0.0284]
INFO:root:[1][1378/2187] Loss_D: 0.2738 Loss_G: 2.1349 R1: 0.0424 R2: 0.0297 w_avg: [ 0.2164, 0.2702, 0.2247, ..., -0.1200, 0.0348, 0.0285]
INFO:root:[1][1379/2187] Loss_D: 0.2816 Loss_G: 2.2922 R1: 0.0376 R2: 0.0273 w_avg: [ 0.2159, 0.2702, 0.2246, ..., -0.1199, 0.0349, 0.0284]
INFO:root:[1][1380/2187] Loss_D: 0.4405 Loss_G: 1.8448 R1: 0.0422 R2: 0.0425 w_avg: [ 0.2156, 0.2700, 0.2247, ..., -0.1199, 0.0350, 0.0284]
INFO:root:[1][1381/2187] Loss_D: 0.3526 Loss_G: 2.0446 R1: 0.0379 R2: 0.0414 w_avg: [ 0.2157, 0.2700, 0.2242, ..., -0.1200, 0.0351, 0.0282]
INFO:root:[1][1382/2187] Loss_D: 0.3426 Loss_G: 2.3632 R1: 0.0456 R2: 0.0323 w_avg: [ 0.2156, 0.2700, 0.2240, ..., -0.1197, 0.0355, 0.0284]
INFO:root:[1][1383/2187] Loss_D: 0.2666 Loss_G: 2.7350 R1: 0.0399 R2: 0.0335 w_avg: [ 0.2153, 0.2696, 0.2239, ..., -0.1197, 0.0350, 0.0285]
INFO:root:[1][1384/2187] Loss_D: 0.3051 Loss_G: 2.4592 R1: 0.0403 R2: 0.0301 w_avg: [ 0.2151, 0.2695, 0.2235, ..., -0.1197, 0.0349, 0.0285]
INFO:root:[1][1385/2187] Loss_D: 0.2265 Loss_G: 2.3936 R1: 0.0420 R2: 0.0361 w_avg: [ 0.2156, 0.2694, 0.2238, ..., -0.1199, 0.0349, 0.0284]
INFO:root:[1][1386/2187] Loss_D: 0.2560 Loss_G: 2.5775 R1: 0.0463 R2: 0.0296 w_avg: [ 0.2153, 0.2693, 0.2233, ..., -0.1200, 0.0348, 0.0282]
INFO:root:[1][1387/2187] Loss_D: 0.2452 Loss_G: 2.0778 R1: 0.0414 R2: 0.0374 w_avg: [ 0.2156, 0.2694, 0.2240, ..., -0.1198, 0.0347, 0.0282]
INFO:root:[1][1388/2187] Loss_D: 0.3387 Loss_G: 2.1494 R1: 0.0413 R2: 0.0361 w_avg: [ 0.2153, 0.2696, 0.2241, ..., -0.1197, 0.0346, 0.0282]
INFO:root:[1][1389/2187] Loss_D: 0.2367 Loss_G: 2.6032 R1: 0.0464 R2: 0.0376 w_avg: [ 0.2158, 0.2695, 0.2248, ..., -0.1198, 0.0348, 0.0284]
INFO:root:[1][1390/2187] Loss_D: 0.2546 Loss_G: 2.2431 R1: 0.0490 R2: 0.0411 w_avg: [ 0.2155, 0.2694, 0.2245, ..., -0.1200, 0.0346, 0.0285]
INFO:root:[1][1391/2187] Loss_D: 0.2294 Loss_G: 2.6534 R1: 0.0442 R2: 0.0407 w_avg: [ 0.2155, 0.2697, 0.2247, ..., -0.1199, 0.0343, 0.0283]
INFO:root:[1][1392/2187] Loss_D: 0.3777 Loss_G: 3.4173 R1: 0.0463 R2: 0.0449 w_avg: [ 0.2155, 0.2696, 0.2244, ..., -0.1201, 0.0342, 0.0283]
INFO:root:[1][1393/2187] Loss_D: 0.1942 Loss_G: 2.7860 R1: 0.0505 R2: 0.0398 w_avg: [ 0.2155, 0.2694, 0.2246, ..., -0.1202, 0.0345, 0.0280]
INFO:root:[1][1394/2187] Loss_D: 0.2295 Loss_G: 2.4286 R1: 0.0406 R2: 0.0415 w_avg: [ 0.2155, 0.2698, 0.2246, ..., -0.1202, 0.0344, 0.0282]
INFO:root:[1][1395/2187] Loss_D: 0.2759 Loss_G: 2.6165 R1: 0.0410 R2: 0.0356 w_avg: [ 0.2150, 0.2694, 0.2245, ..., -0.1204, 0.0343, 0.0287]
INFO:root:[1][1396/2187] Loss_D: 0.2339 Loss_G: 3.2363 R1: 0.0504 R2: 0.0363 w_avg: [ 0.2151, 0.2692, 0.2245, ..., -0.1204, 0.0345, 0.0285]
INFO:root:[1][1397/2187] Loss_D: 0.2685 Loss_G: 2.3133 R1: 0.0389 R2: 0.0473 w_avg: [ 0.2153, 0.2694, 0.2247, ..., -0.1206, 0.0344, 0.0284]
INFO:root:[1][1398/2187] Loss_D: 0.5450 Loss_G: 2.7215 R1: 0.0450 R2: 0.0561 w_avg: [ 0.2154, 0.2701, 0.2244, ..., -0.1203, 0.0347, 0.0284]
INFO:root:[1][1399/2187] Loss_D: 0.2964 Loss_G: 2.8082 R1: 0.0481 R2: 0.0318 w_avg: [ 0.2153, 0.2702, 0.2244, ..., -0.1204, 0.0347, 0.0285]
INFO:root:[1][1400/2187] Loss_D: 0.2867 Loss_G: 2.2595 R1: 0.0368 R2: 0.0432 w_avg: [ 0.2152, 0.2699, 0.2248, ..., -0.1203, 0.0345, 0.0283]
INFO:root:[1][1401/2187] Loss_D: 0.2387 Loss_G: 2.1976 R1: 0.0417 R2: 0.0448 w_avg: [ 0.2160, 0.2701, 0.2249, ..., -0.1203, 0.0347, 0.0282]
INFO:root:[1][1402/2187] Loss_D: 0.2966 Loss_G: 2.3197 R1: 0.0398 R2: 0.0439 w_avg: [ 0.2156, 0.2701, 0.2248, ..., -0.1204, 0.0345, 0.0281]
INFO:root:[1][1403/2187] Loss_D: 0.3374 Loss_G: 2.8890 R1: 0.0434 R2: 0.0500 w_avg: [ 0.2157, 0.2703, 0.2248, ..., -0.1205, 0.0345, 0.0283]
INFO:root:[1][1404/2187] Loss_D: 0.2782 Loss_G: 2.5108 R1: 0.0419 R2: 0.0337 w_avg: [ 0.2158, 0.2707, 0.2247, ..., -0.1204, 0.0343, 0.0283]
INFO:root:[1][1405/2187] Loss_D: 0.2559 Loss_G: 2.7747 R1: 0.0444 R2: 0.0325 w_avg: [ 0.2158, 0.2709, 0.2251, ..., -0.1205, 0.0342, 0.0282]
INFO:root:[1][1406/2187] Loss_D: 0.4177 Loss_G: 2.4418 R1: 0.0494 R2: 0.0319 w_avg: [ 0.2164, 0.2707, 0.2251, ..., -0.1206, 0.0349, 0.0281]
INFO:root:[1][1407/2187] Loss_D: 0.3605 Loss_G: 2.1698 R1: 0.0438 R2: 0.0369 w_avg: [ 0.2163, 0.2714, 0.2253, ..., -0.1206, 0.0346, 0.0279]
INFO:root:[1][1408/2187] Loss_D: 0.3547 Loss_G: 1.7783 R1: 0.0465 R2: 0.0375 w_avg: [ 0.2163, 0.2718, 0.2258, ..., -0.1204, 0.0347, 0.0279]
INFO:root:[1][1409/2187] Loss_D: 0.3895 Loss_G: 2.4063 R1: 0.0454 R2: 0.0347 w_avg: [ 0.2160, 0.2715, 0.2258, ..., -0.1206, 0.0345, 0.0277]
INFO:root:[1][1410/2187] Loss_D: 0.3464 Loss_G: 2.8039 R1: 0.0389 R2: 0.0396 w_avg: [ 0.2157, 0.2715, 0.2259, ..., -0.1202, 0.0344, 0.0277]
INFO:root:[1][1411/2187] Loss_D: 0.3261 Loss_G: 2.2998 R1: 0.0389 R2: 0.0437 w_avg: [ 0.2157, 0.2717, 0.2259, ..., -0.1202, 0.0343, 0.0280]
INFO:root:[1][1412/2187] Loss_D: 0.3075 Loss_G: 1.9987 R1: 0.0368 R2: 0.0475 w_avg: [ 0.2158, 0.2719, 0.2260, ..., -0.1203, 0.0342, 0.0282]
INFO:root:[1][1413/2187] Loss_D: 0.3588 Loss_G: 1.8453 R1: 0.0456 R2: 0.0439 w_avg: [ 0.2156, 0.2719, 0.2255, ..., -0.1204, 0.0339, 0.0285]
INFO:root:[1][1414/2187] Loss_D: 0.5518 Loss_G: 3.1231 R1: 0.0434 R2: 0.0534 w_avg: [ 0.2153, 0.2717, 0.2251, ..., -0.1202, 0.0339, 0.0285]
INFO:root:[1][1415/2187] Loss_D: 0.3265 Loss_G: 2.0867 R1: 0.0454 R2: 0.0298 w_avg: [ 0.2153, 0.2716, 0.2255, ..., -0.1204, 0.0338, 0.0285]
INFO:root:[1][1416/2187] Loss_D: 0.3562 Loss_G: 2.0247 R1: 0.0492 R2: 0.0478 w_avg: [ 0.2155, 0.2716, 0.2259, ..., -0.1200, 0.0340, 0.0285]
INFO:root:[1][1417/2187] Loss_D: 0.2882 Loss_G: 2.8201 R1: 0.0424 R2: 0.0417 w_avg: [ 0.2152, 0.2717, 0.2260, ..., -0.1201, 0.0339, 0.0285]
INFO:root:[1][1418/2187] Loss_D: 0.5662 Loss_G: 2.4594 R1: 0.0431 R2: 0.0461 w_avg: [ 0.2155, 0.2717, 0.2261, ..., -0.1201, 0.0338, 0.0288]
INFO:root:[1][1419/2187] Loss_D: 0.3452 Loss_G: 1.9527 R1: 0.0441 R2: 0.0422 w_avg: [ 0.2155, 0.2722, 0.2265, ..., -0.1200, 0.0338, 0.0289]
INFO:root:[1][1420/2187] Loss_D: 0.3921 Loss_G: 2.0023 R1: 0.0386 R2: 0.0391 w_avg: [ 0.2155, 0.2723, 0.2265, ..., -0.1199, 0.0338, 0.0292]
INFO:root:[1][1421/2187] Loss_D: 0.3917 Loss_G: 1.9896 R1: 0.0406 R2: 0.0319 w_avg: [ 0.2156, 0.2721, 0.2261, ..., -0.1199, 0.0337, 0.0291]
INFO:root:[1][1422/2187] Loss_D: 0.3658 Loss_G: 1.8892 R1: 0.0416 R2: 0.0317 w_avg: [ 0.2153, 0.2716, 0.2262, ..., -0.1201, 0.0340, 0.0292]
INFO:root:[1][1423/2187] Loss_D: 0.4212 Loss_G: 2.6832 R1: 0.0451 R2: 0.0379 w_avg: [ 0.2154, 0.2717, 0.2259, ..., -0.1201, 0.0338, 0.0292]
INFO:root:[1][1424/2187] Loss_D: 0.3198 Loss_G: 2.5379 R1: 0.0382 R2: 0.0490 w_avg: [ 0.2153, 0.2714, 0.2254, ..., -0.1200, 0.0339, 0.0289]
INFO:root:[1][1425/2187] Loss_D: 0.3074 Loss_G: 2.3242 R1: 0.0394 R2: 0.0382 w_avg: [ 0.2157, 0.2716, 0.2262, ..., -0.1201, 0.0340, 0.0287]
INFO:root:[1][1426/2187] Loss_D: 0.5357 Loss_G: 2.1490 R1: 0.0445 R2: 0.0492 w_avg: [ 0.2158, 0.2715, 0.2259, ..., -0.1201, 0.0337, 0.0288]
INFO:root:[1][1427/2187] Loss_D: 0.3930 Loss_G: 2.1264 R1: 0.0393 R2: 0.0392 w_avg: [ 0.2156, 0.2717, 0.2257, ..., -0.1198, 0.0335, 0.0286]
INFO:root:[1][1428/2187] Loss_D: 0.2412 Loss_G: 2.2613 R1: 0.0443 R2: 0.0362 w_avg: [ 0.2163, 0.2721, 0.2257, ..., -0.1199, 0.0335, 0.0286]
INFO:root:[1][1429/2187] Loss_D: 0.2533 Loss_G: 2.3071 R1: 0.0397 R2: 0.0391 w_avg: [ 0.2160, 0.2720, 0.2254, ..., -0.1198, 0.0338, 0.0286]
INFO:root:[1][1430/2187] Loss_D: 0.3971 Loss_G: 2.2718 R1: 0.0410 R2: 0.0448 w_avg: [ 0.2163, 0.2721, 0.2256, ..., -0.1198, 0.0336, 0.0286]
INFO:root:[1][1431/2187] Loss_D: 0.4846 Loss_G: 1.9849 R1: 0.0410 R2: 0.0391 w_avg: [ 0.2162, 0.2720, 0.2254, ..., -0.1197, 0.0340, 0.0286]
INFO:root:[1][1432/2187] Loss_D: 0.3131 Loss_G: 2.0151 R1: 0.0361 R2: 0.0385 w_avg: [ 0.2159, 0.2718, 0.2257, ..., -0.1199, 0.0338, 0.0283]
INFO:root:[1][1433/2187] Loss_D: 0.5732 Loss_G: 2.0957 R1: 0.0393 R2: 0.0285 w_avg: [ 0.2158, 0.2714, 0.2258, ..., -0.1198, 0.0339, 0.0282]
INFO:root:[1][1434/2187] Loss_D: 0.4513 Loss_G: 1.8793 R1: 0.0417 R2: 0.0312 w_avg: [ 0.2158, 0.2715, 0.2262, ..., -0.1198, 0.0336, 0.0283]
INFO:root:[1][1435/2187] Loss_D: 0.2643 Loss_G: 2.5226 R1: 0.0370 R2: 0.0276 w_avg: [ 0.2158, 0.2717, 0.2264, ..., -0.1198, 0.0336, 0.0285]
INFO:root:[1][1436/2187] Loss_D: 0.3286 Loss_G: 2.2249 R1: 0.0367 R2: 0.0336 w_avg: [ 0.2156, 0.2717, 0.2262, ..., -0.1199, 0.0334, 0.0282]
INFO:root:[1][1437/2187] Loss_D: 0.3040 Loss_G: 2.8293 R1: 0.0380 R2: 0.0316 w_avg: [ 0.2154, 0.2720, 0.2260, ..., -0.1201, 0.0332, 0.0284]
INFO:root:[1][1438/2187] Loss_D: 0.3522 Loss_G: 1.5677 R1: 0.0433 R2: 0.0344 w_avg: [ 0.2155, 0.2718, 0.2259, ..., -0.1201, 0.0335, 0.0283]
INFO:root:[1][1439/2187] Loss_D: 0.3755 Loss_G: 1.9432 R1: 0.0387 R2: 0.0353 w_avg: [ 0.2154, 0.2716, 0.2257, ..., -0.1201, 0.0334, 0.0282]
INFO:root:[1][1440/2187] Loss_D: 0.4957 Loss_G: 2.4310 R1: 0.0421 R2: 0.0404 w_avg: [ 0.2150, 0.2716, 0.2255, ..., -0.1201, 0.0332, 0.0284]
INFO:root:[1][1441/2187] Loss_D: 0.3857 Loss_G: 2.0274 R1: 0.0361 R2: 0.0517 w_avg: [ 0.2151, 0.2715, 0.2253, ..., -0.1202, 0.0330, 0.0283]
INFO:root:[1][1442/2187] Loss_D: 0.4252 Loss_G: 2.2433 R1: 0.0403 R2: 0.0319 w_avg: [ 0.2151, 0.2717, 0.2252, ..., -0.1203, 0.0329, 0.0281]
INFO:root:[1][1443/2187] Loss_D: 0.3301 Loss_G: 2.4197 R1: 0.0401 R2: 0.0368 w_avg: [ 0.2149, 0.2716, 0.2256, ..., -0.1205, 0.0329, 0.0279]
INFO:root:[1][1444/2187] Loss_D: 0.5586 Loss_G: 1.8419 R1: 0.0414 R2: 0.0355 w_avg: [ 0.2151, 0.2719, 0.2254, ..., -0.1206, 0.0328, 0.0279]
INFO:root:[1][1445/2187] Loss_D: 0.3444 Loss_G: 2.1941 R1: 0.0448 R2: 0.0339 w_avg: [ 0.2147, 0.2718, 0.2255, ..., -0.1205, 0.0329, 0.0278]
INFO:root:[1][1446/2187] Loss_D: 0.3190 Loss_G: 1.8634 R1: 0.0386 R2: 0.0309 w_avg: [ 0.2147, 0.2715, 0.2262, ..., -0.1205, 0.0330, 0.0277]
INFO:root:[1][1447/2187] Loss_D: 0.2646 Loss_G: 2.5699 R1: 0.0397 R2: 0.0402 w_avg: [ 0.2148, 0.2717, 0.2259, ..., -0.1203, 0.0330, 0.0282]
INFO:root:[1][1448/2187] Loss_D: 0.2100 Loss_G: 2.8504 R1: 0.0397 R2: 0.0325 w_avg: [ 0.2149, 0.2718, 0.2259, ..., -0.1203, 0.0332, 0.0279]
INFO:root:[1][1449/2187] Loss_D: 0.3170 Loss_G: 2.5287 R1: 0.0434 R2: 0.0361 w_avg: [ 0.2145, 0.2717, 0.2258, ..., -0.1203, 0.0336, 0.0275]
INFO:root:[1][1450/2187] Loss_D: 0.2979 Loss_G: 2.5862 R1: 0.0403 R2: 0.0382 w_avg: [ 0.2142, 0.2719, 0.2256, ..., -0.1202, 0.0336, 0.0278]
INFO:root:[1][1451/2187] Loss_D: 0.2933 Loss_G: 2.9018 R1: 0.0394 R2: 0.0410 w_avg: [ 0.2141, 0.2721, 0.2254, ..., -0.1203, 0.0332, 0.0281]
INFO:root:[1][1452/2187] Loss_D: 0.2703 Loss_G: 2.7756 R1: 0.0422 R2: 0.0400 w_avg: [ 0.2142, 0.2719, 0.2253, ..., -0.1203, 0.0332, 0.0281]
INFO:root:[1][1453/2187] Loss_D: 0.2522 Loss_G: 2.9322 R1: 0.0382 R2: 0.0399 w_avg: [ 0.2145, 0.2714, 0.2257, ..., -0.1204, 0.0332, 0.0280]
INFO:root:[1][1454/2187] Loss_D: 0.3693 Loss_G: 1.8483 R1: 0.0431 R2: 0.0407 w_avg: [ 0.2141, 0.2713, 0.2256, ..., -0.1206, 0.0328, 0.0279]
INFO:root:[1][1455/2187] Loss_D: 0.2908 Loss_G: 2.1187 R1: 0.0420 R2: 0.0363 w_avg: [ 0.2148, 0.2717, 0.2256, ..., -0.1205, 0.0329, 0.0278]
INFO:root:[1][1456/2187] Loss_D: 0.3285 Loss_G: 1.8959 R1: 0.0449 R2: 0.0378 w_avg: [ 0.2149, 0.2716, 0.2258, ..., -0.1202, 0.0328, 0.0280]
INFO:root:[1][1457/2187] Loss_D: 0.3045 Loss_G: 1.8546 R1: 0.0542 R2: 0.0369 w_avg: [ 0.2148, 0.2715, 0.2257, ..., -0.1200, 0.0327, 0.0278]
INFO:root:[1][1458/2187] Loss_D: 0.4244 Loss_G: 3.0636 R1: 0.0515 R2: 0.0460 w_avg: [ 0.2146, 0.2714, 0.2255, ..., -0.1200, 0.0327, 0.0280]
INFO:root:[1][1459/2187] Loss_D: 0.3958 Loss_G: 2.9155 R1: 0.0498 R2: 0.0433 w_avg: [ 0.2143, 0.2714, 0.2257, ..., -0.1200, 0.0329, 0.0280]
INFO:root:[1][1460/2187] Loss_D: 0.1954 Loss_G: 2.7291 R1: 0.0523 R2: 0.0407 w_avg: [ 0.2142, 0.2713, 0.2253, ..., -0.1199, 0.0330, 0.0280]
INFO:root:[1][1461/2187] Loss_D: 0.2805 Loss_G: 2.5102 R1: 0.0463 R2: 0.0507 w_avg: [ 0.2143, 0.2714, 0.2255, ..., -0.1199, 0.0329, 0.0281]
INFO:root:[1][1462/2187] Loss_D: 0.2935 Loss_G: 2.3545 R1: 0.0475 R2: 0.0426 w_avg: [ 0.2145, 0.2713, 0.2254, ..., -0.1199, 0.0329, 0.0283]
INFO:root:[1][1463/2187] Loss_D: 0.3939 Loss_G: 2.1657 R1: 0.0468 R2: 0.0471 w_avg: [ 0.2142, 0.2716, 0.2250, ..., -0.1199, 0.0327, 0.0285]
INFO:root:[1][1464/2187] Loss_D: 0.5745 Loss_G: 2.4792 R1: 0.0498 R2: 0.0501 w_avg: [ 0.2141, 0.2719, 0.2247, ..., -0.1200, 0.0330, 0.0285]
INFO:root:[1][1465/2187] Loss_D: 0.2368 Loss_G: 2.5436 R1: 0.0485 R2: 0.0341 w_avg: [ 0.2142, 0.2714, 0.2249, ..., -0.1201, 0.0332, 0.0284]
INFO:root:[1][1466/2187] Loss_D: 0.2938 Loss_G: 2.2080 R1: 0.0441 R2: 0.0365 w_avg: [ 0.2147, 0.2715, 0.2248, ..., -0.1201, 0.0332, 0.0284]
INFO:root:[1][1467/2187] Loss_D: 0.2691 Loss_G: 2.8697 R1: 0.0403 R2: 0.0425 w_avg: [ 0.2146, 0.2716, 0.2249, ..., -0.1203, 0.0331, 0.0281]
INFO:root:[1][1468/2187] Loss_D: 0.3016 Loss_G: 2.3265 R1: 0.0433 R2: 0.0436 w_avg: [ 0.2147, 0.2714, 0.2250, ..., -0.1202, 0.0328, 0.0280]
INFO:root:[1][1469/2187] Loss_D: 0.4596 Loss_G: 2.1738 R1: 0.0456 R2: 0.0467 w_avg: [ 0.2155, 0.2716, 0.2253, ..., -0.1203, 0.0328, 0.0279]
INFO:root:[1][1470/2187] Loss_D: 0.3920 Loss_G: 2.2250 R1: 0.0503 R2: 0.0434 w_avg: [ 0.2156, 0.2715, 0.2255, ..., -0.1204, 0.0326, 0.0278]
INFO:root:[1][1471/2187] Loss_D: 0.4170 Loss_G: 2.1755 R1: 0.0402 R2: 0.0454 w_avg: [ 0.2156, 0.2711, 0.2260, ..., -0.1204, 0.0330, 0.0276]
INFO:root:[1][1472/2187] Loss_D: 0.4042 Loss_G: 2.3771 R1: 0.0423 R2: 0.0370 w_avg: [ 0.2156, 0.2711, 0.2262, ..., -0.1205, 0.0327, 0.0274]
INFO:root:[1][1473/2187] Loss_D: 0.3088 Loss_G: 2.2951 R1: 0.0392 R2: 0.0423 w_avg: [ 0.2156, 0.2710, 0.2265, ..., -0.1205, 0.0329, 0.0270]
INFO:root:[1][1474/2187] Loss_D: 0.2121 Loss_G: 2.3667 R1: 0.0398 R2: 0.0346 w_avg: [ 0.2154, 0.2715, 0.2261, ..., -0.1202, 0.0326, 0.0271]
INFO:root:[1][1475/2187] Loss_D: 0.3466 Loss_G: 1.8505 R1: 0.0471 R2: 0.0469 w_avg: [ 0.2154, 0.2711, 0.2259, ..., -0.1203, 0.0326, 0.0273]
INFO:root:[1][1476/2187] Loss_D: 0.4582 Loss_G: 2.5248 R1: 0.0425 R2: 0.0403 w_avg: [ 0.2155, 0.2708, 0.2258, ..., -0.1203, 0.0324, 0.0270]
INFO:root:[1][1477/2187] Loss_D: 0.4447 Loss_G: 1.7830 R1: 0.0410 R2: 0.0306 w_avg: [ 0.2151, 0.2707, 0.2255, ..., -0.1204, 0.0326, 0.0266]
INFO:root:[1][1478/2187] Loss_D: 0.3854 Loss_G: 2.3646 R1: 0.0461 R2: 0.0334 w_avg: [ 0.2154, 0.2705, 0.2257, ..., -0.1203, 0.0325, 0.0265]
INFO:root:[1][1479/2187] Loss_D: 0.3867 Loss_G: 2.1299 R1: 0.0443 R2: 0.0390 w_avg: [ 0.2150, 0.2708, 0.2257, ..., -0.1200, 0.0323, 0.0266]
INFO:root:[1][1480/2187] Loss_D: 0.3710 Loss_G: 2.1282 R1: 0.0426 R2: 0.0283 w_avg: [ 0.2149, 0.2711, 0.2257, ..., -0.1196, 0.0321, 0.0266]
INFO:root:[1][1481/2187] Loss_D: 0.3498 Loss_G: 1.7033 R1: 0.0441 R2: 0.0386 w_avg: [ 0.2151, 0.2713, 0.2258, ..., -0.1196, 0.0321, 0.0268]
INFO:root:[1][1482/2187] Loss_D: 0.3911 Loss_G: 2.2552 R1: 0.0437 R2: 0.0343 w_avg: [ 0.2148, 0.2709, 0.2254, ..., -0.1198, 0.0323, 0.0267]
INFO:root:[1][1483/2187] Loss_D: 0.4135 Loss_G: 1.9440 R1: 0.0515 R2: 0.0388 w_avg: [ 0.2143, 0.2706, 0.2254, ..., -0.1198, 0.0322, 0.0264]
INFO:root:[1][1484/2187] Loss_D: 0.3641 Loss_G: 1.9315 R1: 0.0494 R2: 0.0414 w_avg: [ 0.2147, 0.2707, 0.2255, ..., -0.1198, 0.0322, 0.0268]
INFO:root:[1][1485/2187] Loss_D: 0.3717 Loss_G: 2.3696 R1: 0.0417 R2: 0.0329 w_avg: [ 0.2144, 0.2699, 0.2253, ..., -0.1199, 0.0322, 0.0267]
INFO:root:[1][1486/2187] Loss_D: 0.2600 Loss_G: 2.6189 R1: 0.0428 R2: 0.0340 w_avg: [ 0.2141, 0.2704, 0.2253, ..., -0.1201, 0.0322, 0.0269]
INFO:root:[1][1487/2187] Loss_D: 0.5012 Loss_G: 1.9548 R1: 0.0408 R2: 0.0462 w_avg: [ 0.2140, 0.2699, 0.2252, ..., -0.1202, 0.0323, 0.0267]
INFO:root:[1][1488/2187] Loss_D: 0.3616 Loss_G: 2.2748 R1: 0.0398 R2: 0.0324 w_avg: [ 0.2147, 0.2694, 0.2246, ..., -0.1203, 0.0330, 0.0271]
INFO:root:[1][1489/2187] Loss_D: 0.2674 Loss_G: 2.2770 R1: 0.0434 R2: 0.0395 w_avg: [ 0.2145, 0.2699, 0.2247, ..., -0.1205, 0.0331, 0.0268]
INFO:root:[1][1490/2187] Loss_D: 0.3397 Loss_G: 2.1106 R1: 0.0451 R2: 0.0346 w_avg: [ 0.2143, 0.2697, 0.2250, ..., -0.1204, 0.0332, 0.0266]
INFO:root:[1][1491/2187] Loss_D: 0.3279 Loss_G: 2.4450 R1: 0.0443 R2: 0.0480 w_avg: [ 0.2147, 0.2697, 0.2253, ..., -0.1205, 0.0336, 0.0264]
INFO:root:[1][1492/2187] Loss_D: 0.3531 Loss_G: 1.7460 R1: 0.0482 R2: 0.0349 w_avg: [ 0.2149, 0.2700, 0.2253, ..., -0.1202, 0.0336, 0.0268]
INFO:root:[1][1493/2187] Loss_D: 0.2795 Loss_G: 2.5782 R1: 0.0431 R2: 0.0363 w_avg: [ 0.2148, 0.2700, 0.2250, ..., -0.1202, 0.0336, 0.0267]
INFO:root:[1][1494/2187] Loss_D: 0.4239 Loss_G: 2.4873 R1: 0.0422 R2: 0.0467 w_avg: [ 0.2144, 0.2701, 0.2246, ..., -0.1203, 0.0335, 0.0266]
INFO:root:[1][1495/2187] Loss_D: 0.3756 Loss_G: 2.1662 R1: 0.0417 R2: 0.0377 w_avg: [ 0.2150, 0.2699, 0.2242, ..., -0.1204, 0.0337, 0.0266]
INFO:root:[1][1496/2187] Loss_D: 0.3788 Loss_G: 2.3211 R1: 0.0422 R2: 0.0396 w_avg: [ 0.2146, 0.2694, 0.2240, ..., -0.1203, 0.0337, 0.0263]
INFO:root:[1][1497/2187] Loss_D: 0.4415 Loss_G: 2.4763 R1: 0.0442 R2: 0.0367 w_avg: [ 0.2142, 0.2691, 0.2236, ..., -0.1203, 0.0341, 0.0262]
INFO:root:[1][1498/2187] Loss_D: 0.2132 Loss_G: 1.6609 R1: 0.0396 R2: 0.0406 w_avg: [ 0.2140, 0.2693, 0.2237, ..., -0.1203, 0.0344, 0.0260]
INFO:root:[1][1499/2187] Loss_D: 0.2445 Loss_G: 2.0653 R1: 0.0408 R2: 0.0382 w_avg: [ 0.2142, 0.2691, 0.2235, ..., -0.1205, 0.0344, 0.0263]
INFO:root:[1][1500/2187] Loss_D: 0.3254 Loss_G: 2.1188 R1: 0.0402 R2: 0.0515 w_avg: [ 0.2139, 0.2689, 0.2231, ..., -0.1205, 0.0342, 0.0267]
INFO:root:[1][1501/2187] Loss_D: 0.3529 Loss_G: 2.5846 R1: 0.0413 R2: 0.0334 w_avg: [ 0.2138, 0.2684, 0.2229, ..., -0.1207, 0.0341, 0.0269]
INFO:root:[1][1502/2187] Loss_D: 0.3314 Loss_G: 2.4037 R1: 0.0436 R2: 0.0376 w_avg: [ 0.2141, 0.2686, 0.2230, ..., -0.1207, 0.0340, 0.0267]
INFO:root:[1][1503/2187] Loss_D: 0.2572 Loss_G: 2.0203 R1: 0.0417 R2: 0.0286 w_avg: [ 0.2140, 0.2684, 0.2230, ..., -0.1207, 0.0338, 0.0267]
INFO:root:[1][1504/2187] Loss_D: 0.2345 Loss_G: 1.7920 R1: 0.0406 R2: 0.0320 w_avg: [ 0.2141, 0.2686, 0.2232, ..., -0.1206, 0.0340, 0.0270]
INFO:root:[1][1505/2187] Loss_D: 0.2593 Loss_G: 2.1663 R1: 0.0430 R2: 0.0354 w_avg: [ 0.2142, 0.2684, 0.2232, ..., -0.1206, 0.0340, 0.0269]
INFO:root:[1][1506/2187] Loss_D: 0.1549 Loss_G: 2.3346 R1: 0.0405 R2: 0.0285 w_avg: [ 0.2141, 0.2683, 0.2233, ..., -0.1206, 0.0338, 0.0267]
INFO:root:[1][1507/2187] Loss_D: 0.5015 Loss_G: 2.2826 R1: 0.0393 R2: 0.0520 w_avg: [ 0.2141, 0.2678, 0.2231, ..., -0.1207, 0.0342, 0.0270]
INFO:root:[1][1508/2187] Loss_D: 0.3614 Loss_G: 2.2321 R1: 0.0446 R2: 0.0269 w_avg: [ 0.2145, 0.2681, 0.2232, ..., -0.1208, 0.0340, 0.0271]
INFO:root:[1][1509/2187] Loss_D: 0.3195 Loss_G: 2.3956 R1: 0.0426 R2: 0.0314 w_avg: [ 0.2146, 0.2685, 0.2232, ..., -0.1207, 0.0339, 0.0272]
INFO:root:[1][1510/2187] Loss_D: 0.4766 Loss_G: 2.4747 R1: 0.0454 R2: 0.0319 w_avg: [ 0.2142, 0.2683, 0.2233, ..., -0.1209, 0.0339, 0.0270]
INFO:root:[1][1511/2187] Loss_D: 0.3124 Loss_G: 2.1564 R1: 0.0472 R2: 0.0319 w_avg: [ 0.2141, 0.2684, 0.2231, ..., -0.1208, 0.0341, 0.0271]
INFO:root:[1][1512/2187] Loss_D: 0.3642 Loss_G: 2.6752 R1: 0.0415 R2: 0.0383 w_avg: [ 0.2143, 0.2681, 0.2231, ..., -0.1210, 0.0341, 0.0271]
INFO:root:[1][1513/2187] Loss_D: 0.6359 Loss_G: 2.9507 R1: 0.0401 R2: 0.0473 w_avg: [ 0.2143, 0.2677, 0.2233, ..., -0.1210, 0.0342, 0.0270]
INFO:root:[1][1514/2187] Loss_D: 0.2053 Loss_G: 2.1257 R1: 0.0435 R2: 0.0258 w_avg: [ 0.2139, 0.2677, 0.2235, ..., -0.1212, 0.0343, 0.0268]
INFO:root:[1][1515/2187] Loss_D: 0.3131 Loss_G: 2.5831 R1: 0.0467 R2: 0.0343 w_avg: [ 0.2136, 0.2676, 0.2238, ..., -0.1214, 0.0341, 0.0265]
INFO:root:[1][1516/2187] Loss_D: 0.4448 Loss_G: 1.9160 R1: 0.0386 R2: 0.0430 w_avg: [ 0.2132, 0.2674, 0.2238, ..., -0.1213, 0.0342, 0.0264]
INFO:root:[1][1517/2187] Loss_D: 0.5267 Loss_G: 2.1633 R1: 0.0414 R2: 0.0419 w_avg: [ 0.2132, 0.2672, 0.2239, ..., -0.1214, 0.0344, 0.0263]
INFO:root:[1][1518/2187] Loss_D: 0.3525 Loss_G: 1.5568 R1: 0.0399 R2: 0.0459 w_avg: [ 0.2131, 0.2672, 0.2238, ..., -0.1215, 0.0344, 0.0265]
INFO:root:[1][1519/2187] Loss_D: 0.4061 Loss_G: 2.2272 R1: 0.0439 R2: 0.0366 w_avg: [ 0.2130, 0.2677, 0.2241, ..., -0.1216, 0.0342, 0.0263]
INFO:root:[1][1520/2187] Loss_D: 0.3667 Loss_G: 2.4699 R1: 0.0358 R2: 0.0293 w_avg: [ 0.2130, 0.2677, 0.2237, ..., -0.1217, 0.0346, 0.0262]
INFO:root:[1][1521/2187] Loss_D: 0.2572 Loss_G: 2.1263 R1: 0.0352 R2: 0.0234 w_avg: [ 0.2131, 0.2676, 0.2236, ..., -0.1218, 0.0347, 0.0260]
INFO:root:[1][1522/2187] Loss_D: 0.3208 Loss_G: 2.4789 R1: 0.0438 R2: 0.0400 w_avg: [ 0.2131, 0.2669, 0.2234, ..., -0.1218, 0.0348, 0.0261]
INFO:root:[1][1523/2187] Loss_D: 0.5056 Loss_G: 2.3841 R1: 0.0363 R2: 0.0355 w_avg: [ 0.2133, 0.2667, 0.2234, ..., -0.1220, 0.0353, 0.0259]
INFO:root:[1][1524/2187] Loss_D: 0.2833 Loss_G: 2.0105 R1: 0.0393 R2: 0.0263 w_avg: [ 0.2131, 0.2667, 0.2235, ..., -0.1220, 0.0353, 0.0259]
INFO:root:[1][1525/2187] Loss_D: 0.4510 Loss_G: 1.6849 R1: 0.0362 R2: 0.0349 w_avg: [ 0.2132, 0.2666, 0.2234, ..., -0.1221, 0.0352, 0.0264]
INFO:root:[1][1526/2187] Loss_D: 0.4165 Loss_G: 1.7074 R1: 0.0362 R2: 0.0284 w_avg: [ 0.2131, 0.2664, 0.2229, ..., -0.1222, 0.0350, 0.0266]
INFO:root:[1][1527/2187] Loss_D: 0.4992 Loss_G: 2.3920 R1: 0.0426 R2: 0.0271 w_avg: [ 0.2133, 0.2667, 0.2227, ..., -0.1220, 0.0352, 0.0265]
INFO:root:[1][1528/2187] Loss_D: 0.2839 Loss_G: 1.9579 R1: 0.0347 R2: 0.0271 w_avg: [ 0.2128, 0.2667, 0.2227, ..., -0.1220, 0.0354, 0.0264]
INFO:root:[1][1529/2187] Loss_D: 0.4418 Loss_G: 1.9848 R1: 0.0358 R2: 0.0377 w_avg: [ 0.2125, 0.2668, 0.2225, ..., -0.1221, 0.0353, 0.0262]
INFO:root:[1][1530/2187] Loss_D: 0.2632 Loss_G: 2.1244 R1: 0.0359 R2: 0.0320 w_avg: [ 0.2128, 0.2667, 0.2230, ..., -0.1220, 0.0354, 0.0259]
INFO:root:[1][1531/2187] Loss_D: 0.3758 Loss_G: 1.5643 R1: 0.0351 R2: 0.0376 w_avg: [ 0.2126, 0.2670, 0.2233, ..., -0.1220, 0.0350, 0.0260]
INFO:root:[1][1532/2187] Loss_D: 0.3720 Loss_G: 2.1537 R1: 0.0350 R2: 0.0371 w_avg: [ 0.2126, 0.2667, 0.2232, ..., -0.1219, 0.0350, 0.0259]
INFO:root:[1][1533/2187] Loss_D: 0.2973 Loss_G: 2.3032 R1: 0.0394 R2: 0.0421 w_avg: [ 0.2126, 0.2663, 0.2234, ..., -0.1218, 0.0354, 0.0256]
INFO:root:[1][1534/2187] Loss_D: 0.3680 Loss_G: 2.0107 R1: 0.0443 R2: 0.0441 w_avg: [ 0.2131, 0.2668, 0.2238, ..., -0.1219, 0.0353, 0.0254]
INFO:root:[1][1535/2187] Loss_D: 0.3514 Loss_G: 1.9315 R1: 0.0469 R2: 0.0402 w_avg: [ 0.2131, 0.2667, 0.2244, ..., -0.1219, 0.0357, 0.0254]
INFO:root:[1][1536/2187] Loss_D: 0.3216 Loss_G: 1.8077 R1: 0.0418 R2: 0.0426 w_avg: [ 0.2129, 0.2664, 0.2242, ..., -0.1221, 0.0356, 0.0255]
INFO:root:[1][1537/2187] Loss_D: 0.3776 Loss_G: 1.7749 R1: 0.0441 R2: 0.0407 w_avg: [ 0.2134, 0.2663, 0.2241, ..., -0.1220, 0.0357, 0.0253]
INFO:root:[1][1538/2187] Loss_D: 0.3382 Loss_G: 2.3572 R1: 0.0439 R2: 0.0313 w_avg: [ 0.2136, 0.2668, 0.2242, ..., -0.1220, 0.0354, 0.0252]
INFO:root:[1][1539/2187] Loss_D: 0.3017 Loss_G: 2.6876 R1: 0.0389 R2: 0.0347 w_avg: [ 0.2140, 0.2670, 0.2243, ..., -0.1219, 0.0353, 0.0249]
INFO:root:[1][1540/2187] Loss_D: 0.3473 Loss_G: 2.2577 R1: 0.0433 R2: 0.0392 w_avg: [ 0.2137, 0.2670, 0.2240, ..., -0.1219, 0.0351, 0.0248]
INFO:root:[1][1541/2187] Loss_D: 0.4069 Loss_G: 2.7858 R1: 0.0423 R2: 0.0356 w_avg: [ 0.2134, 0.2664, 0.2237, ..., -0.1222, 0.0351, 0.0249]
INFO:root:[1][1542/2187] Loss_D: 0.3503 Loss_G: 2.2520 R1: 0.0440 R2: 0.0341 w_avg: [ 0.2139, 0.2662, 0.2239, ..., -0.1220, 0.0352, 0.0249]
INFO:root:[1][1543/2187] Loss_D: 0.3884 Loss_G: 2.1061 R1: 0.0452 R2: 0.0437 w_avg: [ 0.2144, 0.2662, 0.2237, ..., -0.1219, 0.0354, 0.0254]
INFO:root:[1][1544/2187] Loss_D: 0.3677 Loss_G: 2.2560 R1: 0.0488 R2: 0.0391 w_avg: [ 0.2145, 0.2662, 0.2240, ..., -0.1220, 0.0353, 0.0251]
INFO:root:[1][1545/2187] Loss_D: 0.2915 Loss_G: 2.6643 R1: 0.0460 R2: 0.0320 w_avg: [ 0.2142, 0.2657, 0.2243, ..., -0.1221, 0.0353, 0.0250]
INFO:root:[1][1546/2187] Loss_D: 0.2785 Loss_G: 2.3762 R1: 0.0392 R2: 0.0391 w_avg: [ 0.2139, 0.2653, 0.2243, ..., -0.1219, 0.0352, 0.0251]
INFO:root:[1][1547/2187] Loss_D: 0.3263 Loss_G: 2.0421 R1: 0.0400 R2: 0.0417 w_avg: [ 0.2139, 0.2652, 0.2242, ..., -0.1219, 0.0351, 0.0253]
INFO:root:[1][1548/2187] Loss_D: 0.4097 Loss_G: 2.4546 R1: 0.0462 R2: 0.0405 w_avg: [ 0.2134, 0.2655, 0.2242, ..., -0.1220, 0.0350, 0.0249]
INFO:root:[1][1549/2187] Loss_D: 0.3225 Loss_G: 3.1780 R1: 0.0455 R2: 0.0382 w_avg: [ 0.2132, 0.2654, 0.2239, ..., -0.1219, 0.0346, 0.0252]
INFO:root:[1][1550/2187] Loss_D: 0.3825 Loss_G: 2.6618 R1: 0.0433 R2: 0.0443 w_avg: [ 0.2135, 0.2653, 0.2242, ..., -0.1219, 0.0344, 0.0251]
INFO:root:[1][1551/2187] Loss_D: 0.2824 Loss_G: 3.6815 R1: 0.0442 R2: 0.0361 w_avg: [ 0.2137, 0.2654, 0.2240, ..., -0.1217, 0.0347, 0.0255]
INFO:root:[1][1552/2187] Loss_D: 0.3110 Loss_G: 2.9673 R1: 0.0463 R2: 0.0379 w_avg: [ 0.2138, 0.2648, 0.2240, ..., -0.1218, 0.0354, 0.0253]
INFO:root:[1][1553/2187] Loss_D: 0.2151 Loss_G: 2.9113 R1: 0.0423 R2: 0.0376 w_avg: [ 0.2139, 0.2647, 0.2243, ..., -0.1217, 0.0357, 0.0255]
INFO:root:[1][1554/2187] Loss_D: 0.2664 Loss_G: 2.3640 R1: 0.0366 R2: 0.0332 w_avg: [ 0.2140, 0.2643, 0.2239, ..., -0.1217, 0.0357, 0.0256]
INFO:root:[1][1555/2187] Loss_D: 0.3164 Loss_G: 2.4017 R1: 0.0399 R2: 0.0407 w_avg: [ 0.2136, 0.2639, 0.2241, ..., -0.1217, 0.0356, 0.0255]
INFO:root:[1][1556/2187] Loss_D: 0.5167 Loss_G: 2.5331 R1: 0.0393 R2: 0.0508 w_avg: [ 0.2131, 0.2637, 0.2241, ..., -0.1217, 0.0357, 0.0259]
INFO:root:[1][1557/2187] Loss_D: 0.2898 Loss_G: 2.3698 R1: 0.0438 R2: 0.0378 w_avg: [ 0.2132, 0.2637, 0.2241, ..., -0.1217, 0.0357, 0.0262]
INFO:root:[1][1558/2187] Loss_D: 0.2780 Loss_G: 2.1603 R1: 0.0539 R2: 0.0559 w_avg: [ 0.2131, 0.2640, 0.2240, ..., -0.1214, 0.0358, 0.0265]
INFO:root:[1][1559/2187] Loss_D: 0.3327 Loss_G: 2.7358 R1: 0.0522 R2: 0.0374 w_avg: [ 0.2129, 0.2640, 0.2236, ..., -0.1215, 0.0356, 0.0268]
INFO:root:[1][1560/2187] Loss_D: 0.3188 Loss_G: 2.3911 R1: 0.0398 R2: 0.0444 w_avg: [ 0.2128, 0.2638, 0.2234, ..., -0.1213, 0.0354, 0.0267]
INFO:root:[1][1561/2187] Loss_D: 0.3623 Loss_G: 2.5540 R1: 0.0499 R2: 0.0465 w_avg: [ 0.2129, 0.2644, 0.2233, ..., -0.1213, 0.0354, 0.0267]
INFO:root:[1][1562/2187] Loss_D: 0.2539 Loss_G: 2.4780 R1: 0.0479 R2: 0.0367 w_avg: [ 0.2130, 0.2646, 0.2232, ..., -0.1209, 0.0354, 0.0265]
INFO:root:[1][1563/2187] Loss_D: 0.5053 Loss_G: 2.5023 R1: 0.0458 R2: 0.0459 w_avg: [ 0.2125, 0.2641, 0.2229, ..., -0.1208, 0.0353, 0.0266]
INFO:root:[1][1564/2187] Loss_D: 0.3470 Loss_G: 2.4517 R1: 0.0470 R2: 0.0469 w_avg: [ 0.2127, 0.2640, 0.2230, ..., -0.1209, 0.0356, 0.0268]
INFO:root:[1][1565/2187] Loss_D: 0.2205 Loss_G: 2.2162 R1: 0.0402 R2: 0.0332 w_avg: [ 0.2127, 0.2639, 0.2230, ..., -0.1209, 0.0357, 0.0266]
INFO:root:[1][1566/2187] Loss_D: 0.3718 Loss_G: 2.6922 R1: 0.0434 R2: 0.0346 w_avg: [ 0.2129, 0.2639, 0.2230, ..., -0.1210, 0.0355, 0.0264]
INFO:root:[1][1567/2187] Loss_D: 0.2806 Loss_G: 2.3829 R1: 0.0433 R2: 0.0384 w_avg: [ 0.2127, 0.2641, 0.2227, ..., -0.1209, 0.0355, 0.0268]
INFO:root:[1][1568/2187] Loss_D: 0.3085 Loss_G: 2.2162 R1: 0.0447 R2: 0.0324 w_avg: [ 0.2129, 0.2643, 0.2233, ..., -0.1207, 0.0355, 0.0268]
INFO:root:[1][1569/2187] Loss_D: 0.4723 Loss_G: 2.2157 R1: 0.0422 R2: 0.0398 w_avg: [ 0.2130, 0.2644, 0.2234, ..., -0.1207, 0.0356, 0.0270]
INFO:root:[1][1570/2187] Loss_D: 0.3176 Loss_G: 2.5129 R1: 0.0402 R2: 0.0328 w_avg: [ 0.2128, 0.2648, 0.2232, ..., -0.1208, 0.0354, 0.0268]
INFO:root:[1][1571/2187] Loss_D: 0.2689 Loss_G: 2.1902 R1: 0.0421 R2: 0.0338 w_avg: [ 0.2131, 0.2650, 0.2241, ..., -0.1208, 0.0356, 0.0267]
INFO:root:[1][1572/2187] Loss_D: 0.3439 Loss_G: 2.1866 R1: 0.0443 R2: 0.0243 w_avg: [ 0.2135, 0.2649, 0.2242, ..., -0.1208, 0.0357, 0.0269]
INFO:root:[1][1573/2187] Loss_D: 0.4836 Loss_G: 2.1215 R1: 0.0437 R2: 0.0352 w_avg: [ 0.2140, 0.2648, 0.2247, ..., -0.1209, 0.0358, 0.0271]
INFO:root:[1][1574/2187] Loss_D: 0.2932 Loss_G: 2.4993 R1: 0.0438 R2: 0.0346 w_avg: [ 0.2141, 0.2651, 0.2253, ..., -0.1208, 0.0358, 0.0271]
INFO:root:[1][1575/2187] Loss_D: 0.2844 Loss_G: 2.6877 R1: 0.0415 R2: 0.0477 w_avg: [ 0.2143, 0.2650, 0.2253, ..., -0.1210, 0.0360, 0.0268]
INFO:root:[1][1576/2187] Loss_D: 0.2836 Loss_G: 2.0577 R1: 0.0425 R2: 0.0366 w_avg: [ 0.2142, 0.2648, 0.2250, ..., -0.1211, 0.0357, 0.0269]
INFO:root:[1][1577/2187] Loss_D: 0.3587 Loss_G: 2.4568 R1: 0.0438 R2: 0.0411 w_avg: [ 0.2142, 0.2648, 0.2246, ..., -0.1211, 0.0359, 0.0269]
INFO:root:[1][1578/2187] Loss_D: 0.4628 Loss_G: 2.4857 R1: 0.0452 R2: 0.0370 w_avg: [ 0.2139, 0.2648, 0.2245, ..., -0.1211, 0.0358, 0.0265]
INFO:root:[1][1579/2187] Loss_D: 0.1933 Loss_G: 2.3449 R1: 0.0448 R2: 0.0243 w_avg: [ 0.2142, 0.2646, 0.2244, ..., -0.1212, 0.0357, 0.0262]
INFO:root:[1][1580/2187] Loss_D: 0.2795 Loss_G: 2.0698 R1: 0.0448 R2: 0.0405 w_avg: [ 0.2146, 0.2644, 0.2245, ..., -0.1211, 0.0359, 0.0260]
INFO:root:[1][1581/2187] Loss_D: 0.2426 Loss_G: 2.5293 R1: 0.0442 R2: 0.0415 w_avg: [ 0.2143, 0.2649, 0.2245, ..., -0.1211, 0.0358, 0.0263]
INFO:root:[1][1582/2187] Loss_D: 0.2849 Loss_G: 2.3906 R1: 0.0446 R2: 0.0459 w_avg: [ 0.2143, 0.2652, 0.2245, ..., -0.1212, 0.0359, 0.0260]
INFO:root:[1][1583/2187] Loss_D: 0.4765 Loss_G: 2.0028 R1: 0.0435 R2: 0.0437 w_avg: [ 0.2142, 0.2653, 0.2243, ..., -0.1212, 0.0360, 0.0260]
INFO:root:[1][1584/2187] Loss_D: 0.3189 Loss_G: 2.6724 R1: 0.0345 R2: 0.0399 w_avg: [ 0.2142, 0.2647, 0.2240, ..., -0.1213, 0.0361, 0.0257]
INFO:root:[1][1585/2187] Loss_D: 0.5077 Loss_G: 2.4347 R1: 0.0416 R2: 0.0472 w_avg: [ 0.2142, 0.2642, 0.2239, ..., -0.1213, 0.0362, 0.0256]
INFO:root:[1][1586/2187] Loss_D: 0.3155 Loss_G: 2.1431 R1: 0.0413 R2: 0.0438 w_avg: [ 0.2142, 0.2639, 0.2240, ..., -0.1214, 0.0364, 0.0254]
INFO:root:[1][1587/2187] Loss_D: 0.3724 Loss_G: 2.3399 R1: 0.0401 R2: 0.0402 w_avg: [ 0.2141, 0.2638, 0.2236, ..., -0.1215, 0.0365, 0.0254]
INFO:root:[1][1588/2187] Loss_D: 0.3448 Loss_G: 2.1377 R1: 0.0420 R2: 0.0356 w_avg: [ 0.2141, 0.2638, 0.2233, ..., -0.1213, 0.0366, 0.0256]
INFO:root:[1][1589/2187] Loss_D: 0.2634 Loss_G: 2.1206 R1: 0.0434 R2: 0.0398 w_avg: [ 0.2141, 0.2637, 0.2232, ..., -0.1211, 0.0363, 0.0260]
INFO:root:[1][1590/2187] Loss_D: 0.3278 Loss_G: 2.2494 R1: 0.0496 R2: 0.0365 w_avg: [ 0.2142, 0.2638, 0.2230, ..., -0.1211, 0.0362, 0.0263]
INFO:root:[1][1591/2187] Loss_D: 0.5231 Loss_G: 2.2868 R1: 0.0396 R2: 0.0435 w_avg: [ 0.2141, 0.2638, 0.2231, ..., -0.1212, 0.0362, 0.0263]
INFO:root:[1][1592/2187] Loss_D: 0.4600 Loss_G: 2.6464 R1: 0.0410 R2: 0.0282 w_avg: [ 0.2140, 0.2639, 0.2232, ..., -0.1213, 0.0360, 0.0262]
INFO:root:[1][1593/2187] Loss_D: 0.2323 Loss_G: 2.2525 R1: 0.0382 R2: 0.0363 w_avg: [ 0.2137, 0.2641, 0.2236, ..., -0.1212, 0.0355, 0.0262]
INFO:root:[1][1594/2187] Loss_D: 0.3206 Loss_G: 2.3869 R1: 0.0375 R2: 0.0429 w_avg: [ 0.2138, 0.2642, 0.2232, ..., -0.1211, 0.0352, 0.0261]
INFO:root:[1][1595/2187] Loss_D: 0.3809 Loss_G: 2.1189 R1: 0.0382 R2: 0.0452 w_avg: [ 0.2140, 0.2645, 0.2234, ..., -0.1212, 0.0350, 0.0261]
INFO:root:[1][1596/2187] Loss_D: 0.3391 Loss_G: 2.1313 R1: 0.0394 R2: 0.0430 w_avg: [ 0.2139, 0.2644, 0.2233, ..., -0.1214, 0.0350, 0.0266]
INFO:root:[1][1597/2187] Loss_D: 0.4391 Loss_G: 2.5049 R1: 0.0382 R2: 0.0498 w_avg: [ 0.2140, 0.2644, 0.2233, ..., -0.1215, 0.0350, 0.0265]
INFO:root:[1][1598/2187] Loss_D: 0.3435 Loss_G: 1.9228 R1: 0.0412 R2: 0.0393 w_avg: [ 0.2138, 0.2642, 0.2235, ..., -0.1215, 0.0351, 0.0267]
INFO:root:[1][1599/2187] Loss_D: 0.4126 Loss_G: 1.9962 R1: 0.0433 R2: 0.0450 w_avg: [ 0.2139, 0.2642, 0.2236, ..., -0.1215, 0.0349, 0.0268]
INFO:root:[1][1600/2187] Loss_D: 0.3687 Loss_G: 1.7720 R1: 0.0432 R2: 0.0442 w_avg: [ 0.2137, 0.2639, 0.2233, ..., -0.1215, 0.0347, 0.0271]
INFO:root:[1][1601/2187] Loss_D: 0.3633 Loss_G: 1.8616 R1: 0.0421 R2: 0.0356 w_avg: [ 0.2139, 0.2641, 0.2237, ..., -0.1214, 0.0346, 0.0272]
INFO:root:[1][1602/2187] Loss_D: 0.3219 Loss_G: 2.0028 R1: 0.0404 R2: 0.0380 w_avg: [ 0.2138, 0.2637, 0.2233, ..., -0.1213, 0.0347, 0.0270]
INFO:root:[1][1603/2187] Loss_D: 0.4732 Loss_G: 2.2719 R1: 0.0467 R2: 0.0408 w_avg: [ 0.2139, 0.2633, 0.2233, ..., -0.1214, 0.0346, 0.0270]
INFO:root:[1][1604/2187] Loss_D: 0.3713 Loss_G: 2.3230 R1: 0.0412 R2: 0.0397 w_avg: [ 0.2137, 0.2627, 0.2230, ..., -0.1212, 0.0345, 0.0273]
INFO:root:[1][1605/2187] Loss_D: 0.3060 Loss_G: 1.7006 R1: 0.0428 R2: 0.0342 w_avg: [ 0.2135, 0.2627, 0.2229, ..., -0.1214, 0.0346, 0.0273]
INFO:root:[1][1606/2187] Loss_D: 0.2795 Loss_G: 2.1394 R1: 0.0439 R2: 0.0365 w_avg: [ 0.2133, 0.2629, 0.2227, ..., -0.1214, 0.0349, 0.0271]
INFO:root:[1][1607/2187] Loss_D: 0.3434 Loss_G: 2.3964 R1: 0.0462 R2: 0.0425 w_avg: [ 0.2131, 0.2628, 0.2230, ..., -0.1213, 0.0347, 0.0273]
INFO:root:[1][1608/2187] Loss_D: 0.3958 Loss_G: 2.0528 R1: 0.0405 R2: 0.0372 w_avg: [ 0.2133, 0.2628, 0.2232, ..., -0.1213, 0.0344, 0.0276]
INFO:root:[1][1609/2187] Loss_D: 0.2654 Loss_G: 1.8053 R1: 0.0459 R2: 0.0331 w_avg: [ 0.2133, 0.2628, 0.2233, ..., -0.1212, 0.0345, 0.0276]
INFO:root:[1][1610/2187] Loss_D: 0.3300 Loss_G: 2.2442 R1: 0.0439 R2: 0.0471 w_avg: [ 0.2131, 0.2630, 0.2236, ..., -0.1212, 0.0344, 0.0275]
INFO:root:[1][1611/2187] Loss_D: 0.5634 Loss_G: 2.5423 R1: 0.0402 R2: 0.0394 w_avg: [ 0.2131, 0.2634, 0.2240, ..., -0.1212, 0.0344, 0.0274]
INFO:root:[1][1612/2187] Loss_D: 0.3991 Loss_G: 2.4725 R1: 0.0428 R2: 0.0333 w_avg: [ 0.2134, 0.2634, 0.2245, ..., -0.1213, 0.0347, 0.0270]
INFO:root:[1][1613/2187] Loss_D: 0.4179 Loss_G: 2.5820 R1: 0.0436 R2: 0.0429 w_avg: [ 0.2138, 0.2627, 0.2242, ..., -0.1212, 0.0345, 0.0269]
INFO:root:[1][1614/2187] Loss_D: 0.2770 Loss_G: 2.1755 R1: 0.0500 R2: 0.0293 w_avg: [ 0.2138, 0.2627, 0.2247, ..., -0.1213, 0.0344, 0.0269]
INFO:root:[1][1615/2187] Loss_D: 0.1872 Loss_G: 2.0245 R1: 0.0441 R2: 0.0331 w_avg: [ 0.2136, 0.2630, 0.2244, ..., -0.1212, 0.0341, 0.0270]
INFO:root:[1][1616/2187] Loss_D: 0.5627 Loss_G: 2.2718 R1: 0.0458 R2: 0.0387 w_avg: [ 0.2134, 0.2630, 0.2246, ..., -0.1213, 0.0338, 0.0267]
INFO:root:[1][1617/2187] Loss_D: 0.4277 Loss_G: 2.7806 R1: 0.0403 R2: 0.0348 w_avg: [ 0.2132, 0.2624, 0.2241, ..., -0.1214, 0.0337, 0.0270]
INFO:root:[1][1618/2187] Loss_D: 0.3850 Loss_G: 2.1156 R1: 0.0417 R2: 0.0311 w_avg: [ 0.2131, 0.2624, 0.2238, ..., -0.1214, 0.0338, 0.0271]
INFO:root:[1][1619/2187] Loss_D: 0.2943 Loss_G: 2.1054 R1: 0.0403 R2: 0.0389 w_avg: [ 0.2134, 0.2626, 0.2237, ..., -0.1215, 0.0336, 0.0271]
INFO:root:[1][1620/2187] Loss_D: 0.3347 Loss_G: 2.3995 R1: 0.0390 R2: 0.0377 w_avg: [ 0.2129, 0.2635, 0.2234, ..., -0.1216, 0.0334, 0.0270]
INFO:root:[1][1621/2187] Loss_D: 0.2835 Loss_G: 2.3977 R1: 0.0399 R2: 0.0312 w_avg: [ 0.2129, 0.2635, 0.2234, ..., -0.1216, 0.0337, 0.0272]
INFO:root:[1][1622/2187] Loss_D: 0.4403 Loss_G: 2.4272 R1: 0.0398 R2: 0.0445 w_avg: [ 0.2134, 0.2634, 0.2233, ..., -0.1217, 0.0339, 0.0271]
INFO:root:[1][1623/2187] Loss_D: 0.3313 Loss_G: 2.0971 R1: 0.0402 R2: 0.0411 w_avg: [ 0.2131, 0.2633, 0.2233, ..., -0.1217, 0.0338, 0.0270]
INFO:root:[1][1624/2187] Loss_D: 0.6947 Loss_G: 2.7976 R1: 0.0406 R2: 0.0548 w_avg: [ 0.2131, 0.2633, 0.2231, ..., -0.1219, 0.0339, 0.0270]
INFO:root:[1][1625/2187] Loss_D: 0.2579 Loss_G: 2.3308 R1: 0.0380 R2: 0.0260 w_avg: [ 0.2130, 0.2629, 0.2230, ..., -0.1220, 0.0336, 0.0270]
INFO:root:[1][1626/2187] Loss_D: 0.4288 Loss_G: 2.3928 R1: 0.0371 R2: 0.0373 w_avg: [ 0.2128, 0.2626, 0.2224, ..., -0.1221, 0.0339, 0.0271]
INFO:root:[1][1627/2187] Loss_D: 0.3424 Loss_G: 2.4154 R1: 0.0396 R2: 0.0342 w_avg: [ 0.2130, 0.2625, 0.2228, ..., -0.1221, 0.0340, 0.0271]
INFO:root:[1][1628/2187] Loss_D: 0.3118 Loss_G: 1.7866 R1: 0.0345 R2: 0.0412 w_avg: [ 0.2132, 0.2626, 0.2227, ..., -0.1222, 0.0339, 0.0274]
INFO:root:[1][1629/2187] Loss_D: 0.4180 Loss_G: 1.6188 R1: 0.0430 R2: 0.0407 w_avg: [ 0.2134, 0.2628, 0.2229, ..., -0.1220, 0.0339, 0.0274]
INFO:root:[1][1630/2187] Loss_D: 0.4118 Loss_G: 2.1397 R1: 0.0376 R2: 0.0341 w_avg: [ 0.2133, 0.2626, 0.2227, ..., -0.1221, 0.0340, 0.0272]
INFO:root:[1][1631/2187] Loss_D: 0.4848 Loss_G: 1.6912 R1: 0.0330 R2: 0.0397 w_avg: [ 0.2141, 0.2627, 0.2223, ..., -0.1223, 0.0339, 0.0275]
INFO:root:[1][1632/2187] Loss_D: 0.4636 Loss_G: 2.5422 R1: 0.0400 R2: 0.0434 w_avg: [ 0.2138, 0.2630, 0.2222, ..., -0.1223, 0.0335, 0.0276]
INFO:root:[1][1633/2187] Loss_D: 0.3027 Loss_G: 1.8305 R1: 0.0385 R2: 0.0318 w_avg: [ 0.2140, 0.2631, 0.2223, ..., -0.1224, 0.0335, 0.0277]
INFO:root:[1][1634/2187] Loss_D: 0.4180 Loss_G: 2.2909 R1: 0.0428 R2: 0.0351 w_avg: [ 0.2139, 0.2627, 0.2218, ..., -0.1224, 0.0334, 0.0277]
INFO:root:[1][1635/2187] Loss_D: 0.3182 Loss_G: 2.5793 R1: 0.0425 R2: 0.0335 w_avg: [ 0.2137, 0.2627, 0.2218, ..., -0.1224, 0.0338, 0.0274]
INFO:root:[1][1636/2187] Loss_D: 0.2946 Loss_G: 1.8481 R1: 0.0399 R2: 0.0359 w_avg: [ 0.2135, 0.2627, 0.2221, ..., -0.1225, 0.0342, 0.0273]
INFO:root:[1][1637/2187] Loss_D: 0.3588 Loss_G: 2.4736 R1: 0.0417 R2: 0.0377 w_avg: [ 0.2134, 0.2626, 0.2219, ..., -0.1225, 0.0340, 0.0269]
INFO:root:[1][1638/2187] Loss_D: 0.2763 Loss_G: 2.4849 R1: 0.0414 R2: 0.0374 w_avg: [ 0.2133, 0.2627, 0.2218, ..., -0.1226, 0.0342, 0.0269]
INFO:root:[1][1639/2187] Loss_D: 0.5518 Loss_G: 2.5560 R1: 0.0402 R2: 0.0313 w_avg: [ 0.2134, 0.2627, 0.2214, ..., -0.1228, 0.0340, 0.0270]
INFO:root:[1][1640/2187] Loss_D: 0.4471 Loss_G: 2.3053 R1: 0.0289 R2: 0.0191 w_avg: [ 0.2136, 0.2625, 0.2214, ..., -0.1228, 0.0340, 0.0272]
INFO:root:[1][1641/2187] Loss_D: 0.3125 Loss_G: 2.4102 R1: 0.0372 R2: 0.0315 w_avg: [ 0.2133, 0.2621, 0.2213, ..., -0.1229, 0.0340, 0.0271]
INFO:root:[1][1642/2187] Loss_D: 0.2705 Loss_G: 2.3649 R1: 0.0405 R2: 0.0319 w_avg: [ 0.2131, 0.2621, 0.2208, ..., -0.1230, 0.0339, 0.0272]
INFO:root:[1][1643/2187] Loss_D: 0.1921 Loss_G: 2.3387 R1: 0.0457 R2: 0.0324 w_avg: [ 0.2131, 0.2622, 0.2206, ..., -0.1229, 0.0338, 0.0272]
INFO:root:[1][1644/2187] Loss_D: 0.3739 Loss_G: 2.3139 R1: 0.0475 R2: 0.0344 w_avg: [ 0.2133, 0.2620, 0.2203, ..., -0.1231, 0.0337, 0.0273]
INFO:root:[1][1645/2187] Loss_D: 0.3393 Loss_G: 2.3354 R1: 0.0424 R2: 0.0336 w_avg: [ 0.2132, 0.2621, 0.2205, ..., -0.1233, 0.0337, 0.0271]
INFO:root:[1][1646/2187] Loss_D: 0.3172 Loss_G: 2.4569 R1: 0.0432 R2: 0.0268 w_avg: [ 0.2132, 0.2621, 0.2207, ..., -0.1232, 0.0336, 0.0271]
INFO:root:[1][1647/2187] Loss_D: 0.2355 Loss_G: 1.8430 R1: 0.0413 R2: 0.0406 w_avg: [ 0.2131, 0.2621, 0.2208, ..., -0.1231, 0.0333, 0.0274]
INFO:root:[1][1648/2187] Loss_D: 0.3050 Loss_G: 1.9391 R1: 0.0458 R2: 0.0403 w_avg: [ 0.2131, 0.2619, 0.2210, ..., -0.1230, 0.0336, 0.0272]
INFO:root:[1][1649/2187] Loss_D: 0.4861 Loss_G: 1.6845 R1: 0.0401 R2: 0.0486 w_avg: [ 0.2126, 0.2619, 0.2206, ..., -0.1232, 0.0335, 0.0271]
INFO:root:[1][1650/2187] Loss_D: 0.6288 Loss_G: 1.3531 R1: 0.0428 R2: 0.0358 w_avg: [ 0.2126, 0.2617, 0.2205, ..., -0.1233, 0.0335, 0.0269]
INFO:root:[1][1651/2187] Loss_D: 0.3544 Loss_G: 1.6959 R1: 0.0374 R2: 0.0414 w_avg: [ 0.2127, 0.2620, 0.2204, ..., -0.1234, 0.0334, 0.0273]
INFO:root:[1][1652/2187] Loss_D: 0.4129 Loss_G: 2.0100 R1: 0.0423 R2: 0.0404 w_avg: [ 0.2129, 0.2623, 0.2203, ..., -0.1235, 0.0334, 0.0272]
INFO:root:[1][1653/2187] Loss_D: 0.4088 Loss_G: 1.9206 R1: 0.0461 R2: 0.0455 w_avg: [ 0.2134, 0.2627, 0.2208, ..., -0.1234, 0.0336, 0.0269]
INFO:root:[1][1654/2187] Loss_D: 0.2499 Loss_G: 2.2042 R1: 0.0395 R2: 0.0439 w_avg: [ 0.2130, 0.2624, 0.2204, ..., -0.1235, 0.0332, 0.0269]
INFO:root:[1][1655/2187] Loss_D: 0.4533 Loss_G: 2.1503 R1: 0.0441 R2: 0.0453 w_avg: [ 0.2126, 0.2621, 0.2203, ..., -0.1236, 0.0331, 0.0268]
INFO:root:[1][1656/2187] Loss_D: 0.3536 Loss_G: 2.6877 R1: 0.0403 R2: 0.0390 w_avg: [ 0.2126, 0.2623, 0.2201, ..., -0.1236, 0.0328, 0.0271]
INFO:root:[1][1657/2187] Loss_D: 0.3073 Loss_G: 1.8927 R1: 0.0448 R2: 0.0413 w_avg: [ 0.2124, 0.2622, 0.2197, ..., -0.1237, 0.0327, 0.0274]
INFO:root:[1][1658/2187] Loss_D: 0.4918 Loss_G: 1.8261 R1: 0.0386 R2: 0.0467 w_avg: [ 0.2123, 0.2624, 0.2196, ..., -0.1236, 0.0328, 0.0272]
INFO:root:[1][1659/2187] Loss_D: 0.3628 Loss_G: 1.4503 R1: 0.0400 R2: 0.0365 w_avg: [ 0.2123, 0.2623, 0.2195, ..., -0.1237, 0.0332, 0.0269]
INFO:root:[1][1660/2187] Loss_D: 0.3478 Loss_G: 1.9671 R1: 0.0428 R2: 0.0388 w_avg: [ 0.2126, 0.2625, 0.2195, ..., -0.1238, 0.0335, 0.0266]
INFO:root:[1][1661/2187] Loss_D: 0.3337 Loss_G: 2.1938 R1: 0.0441 R2: 0.0443 w_avg: [ 0.2121, 0.2623, 0.2198, ..., -0.1239, 0.0334, 0.0265]
INFO:root:[1][1662/2187] Loss_D: 0.3659 Loss_G: 2.2364 R1: 0.0531 R2: 0.0364 w_avg: [ 0.2117, 0.2625, 0.2194, ..., -0.1239, 0.0331, 0.0263]
INFO:root:[1][1663/2187] Loss_D: 0.3482 Loss_G: 2.2409 R1: 0.0518 R2: 0.0330 w_avg: [ 0.2116, 0.2625, 0.2196, ..., -0.1238, 0.0330, 0.0266]
INFO:root:[1][1664/2187] Loss_D: 0.5095 Loss_G: 2.0154 R1: 0.0410 R2: 0.0396 w_avg: [ 0.2117, 0.2631, 0.2200, ..., -0.1238, 0.0327, 0.0269]
INFO:root:[1][1665/2187] Loss_D: 0.3047 Loss_G: 1.8815 R1: 0.0441 R2: 0.0421 w_avg: [ 0.2114, 0.2631, 0.2198, ..., -0.1238, 0.0325, 0.0270]
INFO:root:[1][1666/2187] Loss_D: 0.2937 Loss_G: 1.9345 R1: 0.0443 R2: 0.0366 w_avg: [ 0.2114, 0.2632, 0.2202, ..., -0.1238, 0.0323, 0.0268]
INFO:root:[1][1667/2187] Loss_D: 0.3634 Loss_G: 1.6637 R1: 0.0424 R2: 0.0436 w_avg: [ 0.2108, 0.2629, 0.2198, ..., -0.1239, 0.0324, 0.0269]
INFO:root:[1][1668/2187] Loss_D: 0.3532 Loss_G: 1.7253 R1: 0.0461 R2: 0.0325 w_avg: [ 0.2107, 0.2627, 0.2196, ..., -0.1240, 0.0324, 0.0271]
INFO:root:[1][1669/2187] Loss_D: 0.5622 Loss_G: 2.1111 R1: 0.0479 R2: 0.0418 w_avg: [ 0.2104, 0.2629, 0.2197, ..., -0.1241, 0.0326, 0.0270]
INFO:root:[1][1670/2187] Loss_D: 0.2700 Loss_G: 2.8228 R1: 0.0471 R2: 0.0294 w_avg: [ 0.2104, 0.2631, 0.2194, ..., -0.1243, 0.0327, 0.0269]
INFO:root:[1][1671/2187] Loss_D: 0.3674 Loss_G: 2.1561 R1: 0.0472 R2: 0.0390 w_avg: [ 0.2100, 0.2628, 0.2192, ..., -0.1243, 0.0328, 0.0272]
INFO:root:[1][1672/2187] Loss_D: 0.3869 Loss_G: 2.3481 R1: 0.0573 R2: 0.0429 w_avg: [ 0.2105, 0.2635, 0.2193, ..., -0.1243, 0.0329, 0.0273]
INFO:root:[1][1673/2187] Loss_D: 0.6159 Loss_G: 2.0959 R1: 0.0399 R2: 0.0481 w_avg: [ 0.2106, 0.2632, 0.2191, ..., -0.1243, 0.0329, 0.0270]
INFO:root:[1][1674/2187] Loss_D: 0.3806 Loss_G: 2.4627 R1: 0.0401 R2: 0.0263 w_avg: [ 0.2108, 0.2636, 0.2189, ..., -0.1243, 0.0327, 0.0271]
INFO:root:[1][1675/2187] Loss_D: 0.2850 Loss_G: 2.2167 R1: 0.0461 R2: 0.0242 w_avg: [ 0.2111, 0.2631, 0.2186, ..., -0.1244, 0.0330, 0.0274]
INFO:root:[1][1676/2187] Loss_D: 0.3265 Loss_G: 2.3426 R1: 0.0417 R2: 0.0343 w_avg: [ 0.2112, 0.2637, 0.2188, ..., -0.1243, 0.0329, 0.0277]
INFO:root:[1][1677/2187] Loss_D: 0.3400 Loss_G: 2.2386 R1: 0.0347 R2: 0.0180 w_avg: [ 0.2110, 0.2636, 0.2187, ..., -0.1243, 0.0327, 0.0275]
INFO:root:[1][1678/2187] Loss_D: 0.2913 Loss_G: 2.7574 R1: 0.0383 R2: 0.0297 w_avg: [ 0.2107, 0.2635, 0.2187, ..., -0.1244, 0.0327, 0.0275]
INFO:root:[1][1679/2187] Loss_D: 0.3775 Loss_G: 2.2613 R1: 0.0387 R2: 0.0288 w_avg: [ 0.2107, 0.2637, 0.2189, ..., -0.1245, 0.0327, 0.0279]
INFO:root:[1][1680/2187] Loss_D: 0.2914 Loss_G: 2.5615 R1: 0.0366 R2: 0.0235 w_avg: [ 0.2102, 0.2636, 0.2186, ..., -0.1245, 0.0329, 0.0279]
INFO:root:[1][1681/2187] Loss_D: 0.3200 Loss_G: 2.5252 R1: 0.0371 R2: 0.0314 w_avg: [ 0.2101, 0.2637, 0.2184, ..., -0.1244, 0.0327, 0.0278]
INFO:root:[1][1682/2187] Loss_D: 0.3089 Loss_G: 3.1581 R1: 0.0430 R2: 0.0329 w_avg: [ 0.2104, 0.2635, 0.2182, ..., -0.1245, 0.0327, 0.0278]
INFO:root:[1][1683/2187] Loss_D: 0.2647 Loss_G: 1.8940 R1: 0.0464 R2: 0.0337 w_avg: [ 0.2106, 0.2631, 0.2186, ..., -0.1245, 0.0326, 0.0277]
INFO:root:[1][1684/2187] Loss_D: 0.5630 Loss_G: 2.0693 R1: 0.0404 R2: 0.0481 w_avg: [ 0.2107, 0.2631, 0.2191, ..., -0.1246, 0.0326, 0.0276]
INFO:root:[1][1685/2187] Loss_D: 0.3499 Loss_G: 2.0616 R1: 0.0431 R2: 0.0253 w_avg: [ 0.2107, 0.2630, 0.2188, ..., -0.1247, 0.0326, 0.0278]
INFO:root:[1][1686/2187] Loss_D: 0.4259 Loss_G: 1.7437 R1: 0.0328 R2: 0.0259 w_avg: [ 0.2105, 0.2628, 0.2186, ..., -0.1247, 0.0327, 0.0274]
INFO:root:[1][1687/2187] Loss_D: 0.5061 Loss_G: 2.2013 R1: 0.0402 R2: 0.0305 w_avg: [ 0.2102, 0.2625, 0.2195, ..., -0.1247, 0.0325, 0.0272]
INFO:root:[1][1688/2187] Loss_D: 0.3465 Loss_G: 2.1624 R1: 0.0490 R2: 0.0274 w_avg: [ 0.2101, 0.2634, 0.2196, ..., -0.1248, 0.0324, 0.0273]
INFO:root:[1][1689/2187] Loss_D: 0.3872 Loss_G: 2.2957 R1: 0.0361 R2: 0.0225 w_avg: [ 0.2098, 0.2633, 0.2197, ..., -0.1249, 0.0327, 0.0270]
INFO:root:[1][1690/2187] Loss_D: 0.5041 Loss_G: 2.0626 R1: 0.0428 R2: 0.0329 w_avg: [ 0.2101, 0.2634, 0.2196, ..., -0.1250, 0.0325, 0.0272]
INFO:root:[1][1691/2187] Loss_D: 0.5568 Loss_G: 1.9776 R1: 0.0414 R2: 0.0338 w_avg: [ 0.2103, 0.2634, 0.2194, ..., -0.1250, 0.0326, 0.0270]
INFO:root:[1][1692/2187] Loss_D: 0.4204 Loss_G: 1.7446 R1: 0.0361 R2: 0.0422 w_avg: [ 0.2100, 0.2632, 0.2192, ..., -0.1250, 0.0325, 0.0271]
INFO:root:[1][1693/2187] Loss_D: 0.4767 Loss_G: 1.8248 R1: 0.0338 R2: 0.0388 w_avg: [ 0.2100, 0.2634, 0.2193, ..., -0.1250, 0.0324, 0.0272]
INFO:root:[1][1694/2187] Loss_D: 0.2958 Loss_G: 2.1137 R1: 0.0356 R2: 0.0354 w_avg: [ 0.2101, 0.2632, 0.2193, ..., -0.1250, 0.0325, 0.0269]
INFO:root:[1][1695/2187] Loss_D: 0.2757 Loss_G: 2.0678 R1: 0.0377 R2: 0.0397 w_avg: [ 0.2106, 0.2631, 0.2188, ..., -0.1250, 0.0329, 0.0270]
INFO:root:[1][1696/2187] Loss_D: 0.5098 Loss_G: 2.5478 R1: 0.0440 R2: 0.0419 w_avg: [ 0.2105, 0.2629, 0.2193, ..., -0.1248, 0.0333, 0.0269]
INFO:root:[1][1697/2187] Loss_D: 0.3202 Loss_G: 2.4683 R1: 0.0410 R2: 0.0272 w_avg: [ 0.2108, 0.2631, 0.2193, ..., -0.1249, 0.0335, 0.0267]
INFO:root:[1][1698/2187] Loss_D: 0.2799 Loss_G: 2.2772 R1: 0.0434 R2: 0.0363 w_avg: [ 0.2105, 0.2634, 0.2192, ..., -0.1249, 0.0332, 0.0267]
INFO:root:[1][1699/2187] Loss_D: 0.3511 Loss_G: 2.4161 R1: 0.0451 R2: 0.0435 w_avg: [ 0.2110, 0.2631, 0.2195, ..., -0.1250, 0.0331, 0.0266]
INFO:root:[1][1700/2187] Loss_D: 0.2360 Loss_G: 2.1630 R1: 0.0489 R2: 0.0384 w_avg: [ 0.2108, 0.2641, 0.2194, ..., -0.1249, 0.0329, 0.0265]
INFO:root:[1][1701/2187] Loss_D: 0.3375 Loss_G: 2.1859 R1: 0.0467 R2: 0.0367 w_avg: [ 0.2109, 0.2642, 0.2192, ..., -0.1251, 0.0329, 0.0264]
INFO:root:[1][1702/2187] Loss_D: 0.3230 Loss_G: 2.6106 R1: 0.0425 R2: 0.0414 w_avg: [ 0.2109, 0.2639, 0.2190, ..., -0.1249, 0.0330, 0.0264]
INFO:root:[1][1703/2187] Loss_D: 0.4000 Loss_G: 2.2440 R1: 0.0384 R2: 0.0432 w_avg: [ 0.2110, 0.2638, 0.2194, ..., -0.1250, 0.0329, 0.0266]
INFO:root:[1][1704/2187] Loss_D: 0.5678 Loss_G: 2.0685 R1: 0.0369 R2: 0.0448 w_avg: [ 0.2115, 0.2640, 0.2198, ..., -0.1248, 0.0331, 0.0264]
INFO:root:[1][1705/2187] Loss_D: 0.4791 Loss_G: 2.1536 R1: 0.0409 R2: 0.0289 w_avg: [ 0.2115, 0.2642, 0.2199, ..., -0.1249, 0.0332, 0.0264]
INFO:root:[1][1706/2187] Loss_D: 0.3957 Loss_G: 2.0958 R1: 0.0395 R2: 0.0381 w_avg: [ 0.2114, 0.2643, 0.2199, ..., -0.1249, 0.0328, 0.0262]
INFO:root:[1][1707/2187] Loss_D: 0.3920 Loss_G: 1.6415 R1: 0.0378 R2: 0.0288 w_avg: [ 0.2110, 0.2646, 0.2201, ..., -0.1249, 0.0325, 0.0265]
INFO:root:[1][1708/2187] Loss_D: 0.4191 Loss_G: 2.0196 R1: 0.0391 R2: 0.0369 w_avg: [ 0.2110, 0.2644, 0.2198, ..., -0.1250, 0.0323, 0.0268]
INFO:root:[1][1709/2187] Loss_D: 0.3597 Loss_G: 1.7124 R1: 0.0396 R2: 0.0356 w_avg: [ 0.2113, 0.2642, 0.2200, ..., -0.1250, 0.0320, 0.0270]
INFO:root:[1][1710/2187] Loss_D: 0.2870 Loss_G: 1.8385 R1: 0.0440 R2: 0.0384 w_avg: [ 0.2115, 0.2643, 0.2201, ..., -0.1252, 0.0320, 0.0270]
INFO:root:[1][1711/2187] Loss_D: 0.5313 Loss_G: 2.7209 R1: 0.0394 R2: 0.0398 w_avg: [ 0.2113, 0.2642, 0.2200, ..., -0.1251, 0.0320, 0.0268]
INFO:root:[1][1712/2187] Loss_D: 0.4183 Loss_G: 2.0546 R1: 0.0378 R2: 0.0360 w_avg: [ 0.2114, 0.2644, 0.2197, ..., -0.1252, 0.0320, 0.0267]
INFO:root:[1][1713/2187] Loss_D: 0.3984 Loss_G: 2.7316 R1: 0.0382 R2: 0.0342 w_avg: [ 0.2110, 0.2642, 0.2190, ..., -0.1251, 0.0317, 0.0265]
INFO:root:[1][1714/2187] Loss_D: 0.2902 Loss_G: 2.3846 R1: 0.0330 R2: 0.0290 w_avg: [ 0.2110, 0.2640, 0.2189, ..., -0.1250, 0.0316, 0.0265]
INFO:root:[1][1715/2187] Loss_D: 0.2391 Loss_G: 2.3706 R1: 0.0352 R2: 0.0273 w_avg: [ 0.2115, 0.2636, 0.2188, ..., -0.1249, 0.0320, 0.0266]
INFO:root:[1][1716/2187] Loss_D: 0.5726 Loss_G: 2.1605 R1: 0.0341 R2: 0.0309 w_avg: [ 0.2117, 0.2637, 0.2188, ..., -0.1248, 0.0317, 0.0269]
INFO:root:[1][1717/2187] Loss_D: 0.4185 Loss_G: 2.4452 R1: 0.0361 R2: 0.0352 w_avg: [ 0.2117, 0.2636, 0.2191, ..., -0.1248, 0.0317, 0.0268]
INFO:root:[1][1718/2187] Loss_D: 0.3377 Loss_G: 1.9496 R1: 0.0336 R2: 0.0367 w_avg: [ 0.2114, 0.2634, 0.2193, ..., -0.1249, 0.0316, 0.0267]
INFO:root:[1][1719/2187] Loss_D: 0.4085 Loss_G: 1.8677 R1: 0.0359 R2: 0.0428 w_avg: [ 0.2118, 0.2631, 0.2186, ..., -0.1251, 0.0318, 0.0268]
INFO:root:[1][1720/2187] Loss_D: 0.3013 Loss_G: 1.8662 R1: 0.0364 R2: 0.0341 w_avg: [ 0.2119, 0.2629, 0.2186, ..., -0.1252, 0.0316, 0.0267]
INFO:root:[1][1721/2187] Loss_D: 0.3720 Loss_G: 2.0822 R1: 0.0391 R2: 0.0386 w_avg: [ 0.2128, 0.2626, 0.2186, ..., -0.1252, 0.0318, 0.0267]
INFO:root:[1][1722/2187] Loss_D: 0.4939 Loss_G: 2.4495 R1: 0.0415 R2: 0.0436 w_avg: [ 0.2130, 0.2625, 0.2182, ..., -0.1252, 0.0317, 0.0271]
INFO:root:[1][1723/2187] Loss_D: 0.3132 Loss_G: 2.1791 R1: 0.0400 R2: 0.0347 w_avg: [ 0.2127, 0.2626, 0.2183, ..., -0.1252, 0.0316, 0.0269]
INFO:root:[1][1724/2187] Loss_D: 0.2174 Loss_G: 1.8243 R1: 0.0446 R2: 0.0300 w_avg: [ 0.2132, 0.2626, 0.2182, ..., -0.1254, 0.0315, 0.0270]
INFO:root:[1][1725/2187] Loss_D: 0.2733 Loss_G: 1.7994 R1: 0.0340 R2: 0.0332 w_avg: [ 0.2130, 0.2626, 0.2184, ..., -0.1254, 0.0316, 0.0271]
INFO:root:[1][1726/2187] Loss_D: 0.3525 Loss_G: 2.1531 R1: 0.0394 R2: 0.0318 w_avg: [ 0.2126, 0.2626, 0.2183, ..., -0.1253, 0.0318, 0.0269]
INFO:root:[1][1727/2187] Loss_D: 0.3224 Loss_G: 2.1707 R1: 0.0423 R2: 0.0302 w_avg: [ 0.2122, 0.2627, 0.2178, ..., -0.1253, 0.0318, 0.0269]
INFO:root:[1][1728/2187] Loss_D: 0.3806 Loss_G: 2.2775 R1: 0.0430 R2: 0.0352 w_avg: [ 0.2119, 0.2625, 0.2174, ..., -0.1255, 0.0323, 0.0268]
INFO:root:[1][1729/2187] Loss_D: 0.3508 Loss_G: 2.0725 R1: 0.0446 R2: 0.0376 w_avg: [ 0.2120, 0.2624, 0.2179, ..., -0.1254, 0.0322, 0.0266]
INFO:root:[1][1730/2187] Loss_D: 0.3209 Loss_G: 2.0483 R1: 0.0427 R2: 0.0306 w_avg: [ 0.2117, 0.2621, 0.2175, ..., -0.1255, 0.0321, 0.0264]
INFO:root:[1][1731/2187] Loss_D: 0.3384 Loss_G: 2.2000 R1: 0.0386 R2: 0.0372 w_avg: [ 0.2117, 0.2621, 0.2170, ..., -0.1255, 0.0323, 0.0264]
INFO:root:[1][1732/2187] Loss_D: 0.3800 Loss_G: 1.8355 R1: 0.0420 R2: 0.0393 w_avg: [ 0.2118, 0.2629, 0.2170, ..., -0.1256, 0.0322, 0.0265]
INFO:root:[1][1733/2187] Loss_D: 0.3667 Loss_G: 2.1682 R1: 0.0414 R2: 0.0470 w_avg: [ 0.2121, 0.2630, 0.2173, ..., -0.1255, 0.0324, 0.0266]
INFO:root:[1][1734/2187] Loss_D: 0.2183 Loss_G: 2.1874 R1: 0.0391 R2: 0.0304 w_avg: [ 0.2120, 0.2629, 0.2170, ..., -0.1253, 0.0325, 0.0267]
INFO:root:[1][1735/2187] Loss_D: 0.3101 Loss_G: 2.3296 R1: 0.0428 R2: 0.0381 w_avg: [ 0.2121, 0.2631, 0.2167, ..., -0.1255, 0.0327, 0.0266]
INFO:root:[1][1736/2187] Loss_D: 0.3073 Loss_G: 2.0872 R1: 0.0384 R2: 0.0404 w_avg: [ 0.2121, 0.2633, 0.2173, ..., -0.1253, 0.0325, 0.0266]
INFO:root:[1][1737/2187] Loss_D: 0.4522 Loss_G: 2.7383 R1: 0.0426 R2: 0.0415 w_avg: [ 0.2127, 0.2634, 0.2174, ..., -0.1255, 0.0325, 0.0264]
INFO:root:[1][1738/2187] Loss_D: 0.3418 Loss_G: 2.7724 R1: 0.0381 R2: 0.0403 w_avg: [ 0.2124, 0.2633, 0.2171, ..., -0.1255, 0.0322, 0.0262]
INFO:root:[1][1739/2187] Loss_D: 0.3520 Loss_G: 2.0454 R1: 0.0413 R2: 0.0422 w_avg: [ 0.2126, 0.2632, 0.2174, ..., -0.1254, 0.0322, 0.0261]
INFO:root:[1][1740/2187] Loss_D: 0.4351 Loss_G: 2.1074 R1: 0.0371 R2: 0.0412 w_avg: [ 0.2130, 0.2632, 0.2172, ..., -0.1255, 0.0324, 0.0259]
INFO:root:[1][1741/2187] Loss_D: 0.4288 Loss_G: 3.1926 R1: 0.0466 R2: 0.0437 w_avg: [ 0.2137, 0.2633, 0.2173, ..., -0.1257, 0.0327, 0.0258]
INFO:root:[1][1742/2187] Loss_D: 0.4275 Loss_G: 2.2453 R1: 0.0400 R2: 0.0421 w_avg: [ 0.2142, 0.2634, 0.2173, ..., -0.1257, 0.0328, 0.0258]
INFO:root:[1][1743/2187] Loss_D: 0.4077 Loss_G: 2.0583 R1: 0.0444 R2: 0.0439 w_avg: [ 0.2142, 0.2636, 0.2172, ..., -0.1259, 0.0327, 0.0257]
INFO:root:[1][1744/2187] Loss_D: 0.2944 Loss_G: 2.4761 R1: 0.0434 R2: 0.0380 w_avg: [ 0.2144, 0.2635, 0.2170, ..., -0.1257, 0.0328, 0.0257]
INFO:root:[1][1745/2187] Loss_D: 0.3061 Loss_G: 2.2821 R1: 0.0496 R2: 0.0384 w_avg: [ 0.2143, 0.2632, 0.2167, ..., -0.1257, 0.0329, 0.0259]
INFO:root:[1][1746/2187] Loss_D: 0.2743 Loss_G: 2.3932 R1: 0.0542 R2: 0.0395 w_avg: [ 0.2139, 0.2631, 0.2170, ..., -0.1258, 0.0329, 0.0256]
INFO:root:[1][1747/2187] Loss_D: 0.3061 Loss_G: 2.1573 R1: 0.0500 R2: 0.0440 w_avg: [ 0.2143, 0.2630, 0.2170, ..., -0.1257, 0.0328, 0.0258]
INFO:root:[1][1748/2187] Loss_D: 0.4614 Loss_G: 2.4889 R1: 0.0466 R2: 0.0441 w_avg: [ 0.2141, 0.2627, 0.2171, ..., -0.1257, 0.0324, 0.0256]
INFO:root:[1][1749/2187] Loss_D: 0.2855 Loss_G: 1.7641 R1: 0.0412 R2: 0.0452 w_avg: [ 0.2137, 0.2625, 0.2168, ..., -0.1257, 0.0322, 0.0253]
INFO:root:[1][1750/2187] Loss_D: 0.3615 Loss_G: 2.3577 R1: 0.0467 R2: 0.0520 w_avg: [ 0.2136, 0.2626, 0.2167, ..., -0.1256, 0.0323, 0.0258]
INFO:root:[1][1751/2187] Loss_D: 0.4924 Loss_G: 1.9438 R1: 0.0447 R2: 0.0478 w_avg: [ 0.2135, 0.2625, 0.2167, ..., -0.1257, 0.0322, 0.0256]
INFO:root:[1][1752/2187] Loss_D: 0.3879 Loss_G: 1.9229 R1: 0.0435 R2: 0.0450 w_avg: [ 0.2133, 0.2625, 0.2169, ..., -0.1258, 0.0321, 0.0254]
INFO:root:[1][1753/2187] Loss_D: 0.3029 Loss_G: 2.0937 R1: 0.0494 R2: 0.0359 w_avg: [ 0.2136, 0.2629, 0.2167, ..., -0.1256, 0.0317, 0.0255]
INFO:root:[1][1754/2187] Loss_D: 0.3430 Loss_G: 2.0059 R1: 0.0404 R2: 0.0442 w_avg: [ 0.2137, 0.2628, 0.2161, ..., -0.1255, 0.0318, 0.0261]
INFO:root:[1][1755/2187] Loss_D: 0.3846 Loss_G: 2.2557 R1: 0.0479 R2: 0.0435 w_avg: [ 0.2136, 0.2627, 0.2160, ..., -0.1256, 0.0317, 0.0264]
INFO:root:[1][1756/2187] Loss_D: 0.2929 Loss_G: 2.2206 R1: 0.0355 R2: 0.0592 w_avg: [ 0.2136, 0.2627, 0.2160, ..., -0.1256, 0.0315, 0.0263]
INFO:root:[1][1757/2187] Loss_D: 0.4257 Loss_G: 2.4550 R1: 0.0397 R2: 0.0564 w_avg: [ 0.2134, 0.2625, 0.2161, ..., -0.1251, 0.0313, 0.0262]
INFO:root:[1][1758/2187] Loss_D: 0.2321 Loss_G: 1.8328 R1: 0.0400 R2: 0.0285 w_avg: [ 0.2134, 0.2625, 0.2162, ..., -0.1252, 0.0312, 0.0262]
INFO:root:[1][1759/2187] Loss_D: 0.3416 Loss_G: 2.1543 R1: 0.0406 R2: 0.0383 w_avg: [ 0.2134, 0.2625, 0.2164, ..., -0.1251, 0.0310, 0.0262]
INFO:root:[1][1760/2187] Loss_D: 0.3134 Loss_G: 1.9461 R1: 0.0417 R2: 0.0338 w_avg: [ 0.2134, 0.2621, 0.2161, ..., -0.1250, 0.0310, 0.0262]
INFO:root:[1][1761/2187] Loss_D: 0.3268 Loss_G: 1.9712 R1: 0.0440 R2: 0.0343 w_avg: [ 0.2135, 0.2618, 0.2159, ..., -0.1249, 0.0311, 0.0261]
INFO:root:[1][1762/2187] Loss_D: 0.2272 Loss_G: 1.7006 R1: 0.0389 R2: 0.0397 w_avg: [ 0.2136, 0.2621, 0.2162, ..., -0.1250, 0.0316, 0.0258]
INFO:root:[1][1763/2187] Loss_D: 0.2251 Loss_G: 2.0724 R1: 0.0405 R2: 0.0318 w_avg: [ 0.2134, 0.2625, 0.2163, ..., -0.1251, 0.0315, 0.0258]
INFO:root:[1][1764/2187] Loss_D: 0.4693 Loss_G: 2.1955 R1: 0.0360 R2: 0.0296 w_avg: [ 0.2132, 0.2622, 0.2161, ..., -0.1252, 0.0317, 0.0257]
INFO:root:[1][1765/2187] Loss_D: 0.3059 Loss_G: 2.4784 R1: 0.0385 R2: 0.0367 w_avg: [ 0.2129, 0.2623, 0.2162, ..., -0.1252, 0.0314, 0.0258]
INFO:root:[1][1766/2187] Loss_D: 0.2637 Loss_G: 2.2154 R1: 0.0427 R2: 0.0332 w_avg: [ 0.2137, 0.2620, 0.2160, ..., -0.1252, 0.0318, 0.0259]
INFO:root:[1][1767/2187] Loss_D: 0.1900 Loss_G: 2.5870 R1: 0.0336 R2: 0.0383 w_avg: [ 0.2143, 0.2621, 0.2162, ..., -0.1254, 0.0315, 0.0255]
INFO:root:[1][1768/2187] Loss_D: 0.2828 Loss_G: 2.0243 R1: 0.0383 R2: 0.0335 w_avg: [ 0.2142, 0.2619, 0.2158, ..., -0.1253, 0.0316, 0.0255]
INFO:root:[1][1769/2187] Loss_D: 0.3352 Loss_G: 2.3388 R1: 0.0419 R2: 0.0391 w_avg: [ 0.2144, 0.2623, 0.2161, ..., -0.1254, 0.0315, 0.0256]
INFO:root:[1][1770/2187] Loss_D: 0.3463 Loss_G: 2.8448 R1: 0.0402 R2: 0.0430 w_avg: [ 0.2142, 0.2622, 0.2160, ..., -0.1252, 0.0316, 0.0256]
INFO:root:[1][1771/2187] Loss_D: 0.2686 Loss_G: 3.1822 R1: 0.0424 R2: 0.0263 w_avg: [ 0.2142, 0.2620, 0.2159, ..., -0.1252, 0.0315, 0.0255]
INFO:root:[1][1772/2187] Loss_D: 0.1752 Loss_G: 3.5901 R1: 0.0423 R2: 0.0239 w_avg: [ 0.2140, 0.2621, 0.2158, ..., -0.1252, 0.0315, 0.0254]
INFO:root:[1][1773/2187] Loss_D: 0.2062 Loss_G: 2.0507 R1: 0.0416 R2: 0.0323 w_avg: [ 0.2135, 0.2626, 0.2155, ..., -0.1251, 0.0314, 0.0252]
INFO:root:[1][1774/2187] Loss_D: 0.4898 Loss_G: 2.7049 R1: 0.0371 R2: 0.0440 w_avg: [ 0.2139, 0.2630, 0.2157, ..., -0.1250, 0.0315, 0.0256]
INFO:root:[1][1775/2187] Loss_D: 0.4967 Loss_G: 2.3496 R1: 0.0333 R2: 0.0365 w_avg: [ 0.2138, 0.2628, 0.2159, ..., -0.1250, 0.0314, 0.0258]
INFO:root:[1][1776/2187] Loss_D: 0.4287 Loss_G: 2.1455 R1: 0.0375 R2: 0.0398 w_avg: [ 0.2140, 0.2628, 0.2160, ..., -0.1252, 0.0316, 0.0257]
INFO:root:[1][1777/2187] Loss_D: 0.3337 Loss_G: 2.4378 R1: 0.0420 R2: 0.0391 w_avg: [ 0.2137, 0.2629, 0.2161, ..., -0.1250, 0.0314, 0.0259]
INFO:root:[1][1778/2187] Loss_D: 0.4050 Loss_G: 2.0974 R1: 0.0407 R2: 0.0402 w_avg: [ 0.2139, 0.2630, 0.2159, ..., -0.1251, 0.0314, 0.0260]
INFO:root:[1][1779/2187] Loss_D: 0.4877 Loss_G: 2.0978 R1: 0.0422 R2: 0.0383 w_avg: [ 0.2137, 0.2633, 0.2159, ..., -0.1250, 0.0313, 0.0260]
INFO:root:[1][1780/2187] Loss_D: 0.3692 Loss_G: 2.3336 R1: 0.0412 R2: 0.0294 w_avg: [ 0.2137, 0.2631, 0.2161, ..., -0.1249, 0.0310, 0.0258]
INFO:root:[1][1781/2187] Loss_D: 0.3211 Loss_G: 2.0889 R1: 0.0396 R2: 0.0311 w_avg: [ 0.2134, 0.2630, 0.2159, ..., -0.1251, 0.0310, 0.0259]
INFO:root:[1][1782/2187] Loss_D: 0.3259 Loss_G: 2.4476 R1: 0.0456 R2: 0.0337 w_avg: [ 0.2135, 0.2628, 0.2157, ..., -0.1251, 0.0312, 0.0258]
INFO:root:[1][1783/2187] Loss_D: 0.3407 Loss_G: 2.4064 R1: 0.0441 R2: 0.0322 w_avg: [ 0.2132, 0.2629, 0.2158, ..., -0.1250, 0.0313, 0.0255]
INFO:root:[1][1784/2187] Loss_D: 0.3982 Loss_G: 2.0875 R1: 0.0460 R2: 0.0384 w_avg: [ 0.2137, 0.2635, 0.2158, ..., -0.1251, 0.0313, 0.0256]
INFO:root:[1][1785/2187] Loss_D: 0.3209 Loss_G: 2.5613 R1: 0.0436 R2: 0.0429 w_avg: [ 0.2136, 0.2638, 0.2160, ..., -0.1249, 0.0316, 0.0254]
INFO:root:[1][1786/2187] Loss_D: 0.3208 Loss_G: 2.0929 R1: 0.0404 R2: 0.0409 w_avg: [ 0.2137, 0.2637, 0.2163, ..., -0.1249, 0.0316, 0.0253]
INFO:root:[1][1787/2187] Loss_D: 0.3396 Loss_G: 2.3684 R1: 0.0389 R2: 0.0399 w_avg: [ 0.2141, 0.2637, 0.2164, ..., -0.1246, 0.0320, 0.0255]
INFO:root:[1][1788/2187] Loss_D: 0.3190 Loss_G: 2.6223 R1: 0.0403 R2: 0.0425 w_avg: [ 0.2137, 0.2639, 0.2164, ..., -0.1244, 0.0318, 0.0258]
INFO:root:[1][1789/2187] Loss_D: 0.2178 Loss_G: 1.9959 R1: 0.0346 R2: 0.0416 w_avg: [ 0.2135, 0.2641, 0.2163, ..., -0.1244, 0.0319, 0.0258]
INFO:root:[1][1790/2187] Loss_D: 0.5470 Loss_G: 2.4565 R1: 0.0382 R2: 0.0406 w_avg: [ 0.2136, 0.2638, 0.2169, ..., -0.1244, 0.0322, 0.0255]
INFO:root:[1][1791/2187] Loss_D: 0.3182 Loss_G: 2.3739 R1: 0.0348 R2: 0.0325 w_avg: [ 0.2138, 0.2637, 0.2165, ..., -0.1242, 0.0323, 0.0255]
INFO:root:[1][1792/2187] Loss_D: 0.4606 Loss_G: 2.1821 R1: 0.0312 R2: 0.0301 w_avg: [ 0.2140, 0.2632, 0.2165, ..., -0.1241, 0.0327, 0.0252]
INFO:root:[1][1793/2187] Loss_D: 0.3062 Loss_G: 2.4406 R1: 0.0351 R2: 0.0357 w_avg: [ 0.2149, 0.2635, 0.2165, ..., -0.1242, 0.0325, 0.0251]
INFO:root:[1][1794/2187] Loss_D: 0.2955 Loss_G: 2.9313 R1: 0.0359 R2: 0.0336 w_avg: [ 0.2148, 0.2632, 0.2160, ..., -0.1242, 0.0324, 0.0250]
INFO:root:[1][1795/2187] Loss_D: 0.3600 Loss_G: 2.3756 R1: 0.0349 R2: 0.0341 w_avg: [ 0.2148, 0.2629, 0.2162, ..., -0.1241, 0.0324, 0.0250]
INFO:root:[1][1796/2187] Loss_D: 0.4158 Loss_G: 2.1247 R1: 0.0364 R2: 0.0305 w_avg: [ 0.2149, 0.2626, 0.2160, ..., -0.1242, 0.0322, 0.0253]
INFO:root:[1][1797/2187] Loss_D: 0.5250 Loss_G: 2.2835 R1: 0.0315 R2: 0.0324 w_avg: [ 0.2148, 0.2623, 0.2160, ..., -0.1243, 0.0324, 0.0252]
INFO:root:[1][1798/2187] Loss_D: 0.4159 Loss_G: 2.1914 R1: 0.0315 R2: 0.0405 w_avg: [ 0.2147, 0.2623, 0.2159, ..., -0.1243, 0.0321, 0.0254]
INFO:root:[1][1799/2187] Loss_D: 0.3950 Loss_G: 2.0864 R1: 0.0335 R2: 0.0378 w_avg: [ 0.2148, 0.2624, 0.2162, ..., -0.1243, 0.0320, 0.0255]
INFO:root:[1][1800/2187] Loss_D: 0.3767 Loss_G: 2.3761 R1: 0.0378 R2: 0.0555 w_avg: [ 0.2146, 0.2623, 0.2158, ..., -0.1241, 0.0319, 0.0260]
INFO:root:[1][1801/2187] Loss_D: 0.2981 Loss_G: 2.3052 R1: 0.0390 R2: 0.0491 w_avg: [ 0.2147, 0.2619, 0.2162, ..., -0.1242, 0.0321, 0.0257]
INFO:root:[1][1802/2187] Loss_D: 0.3869 Loss_G: 2.4299 R1: 0.0431 R2: 0.0532 w_avg: [ 0.2147, 0.2622, 0.2162, ..., -0.1242, 0.0321, 0.0257]
INFO:root:[1][1803/2187] Loss_D: 0.3755 Loss_G: 2.4794 R1: 0.0431 R2: 0.0371 w_avg: [ 0.2147, 0.2625, 0.2162, ..., -0.1243, 0.0321, 0.0256]
INFO:root:[1][1804/2187] Loss_D: 0.1865 Loss_G: 2.8235 R1: 0.0427 R2: 0.0278 w_avg: [ 0.2151, 0.2623, 0.2162, ..., -0.1244, 0.0322, 0.0255]
INFO:root:[1][1805/2187] Loss_D: 0.2655 Loss_G: 2.7902 R1: 0.0390 R2: 0.0316 w_avg: [ 0.2147, 0.2621, 0.2162, ..., -0.1245, 0.0320, 0.0256]
INFO:root:[1][1806/2187] Loss_D: 0.3510 Loss_G: 2.8719 R1: 0.0379 R2: 0.0444 w_avg: [ 0.2152, 0.2619, 0.2161, ..., -0.1247, 0.0322, 0.0253]
INFO:root:[1][1807/2187] Loss_D: 0.7050 Loss_G: 2.6889 R1: 0.0365 R2: 0.0395 w_avg: [ 0.2151, 0.2617, 0.2158, ..., -0.1247, 0.0322, 0.0250]
INFO:root:[1][1808/2187] Loss_D: 0.2614 Loss_G: 2.3857 R1: 0.0414 R2: 0.0252 w_avg: [ 0.2152, 0.2617, 0.2156, ..., -0.1248, 0.0323, 0.0248]
INFO:root:[1][1809/2187] Loss_D: 0.3881 Loss_G: 2.8251 R1: 0.0410 R2: 0.0440 w_avg: [ 0.2150, 0.2615, 0.2156, ..., -0.1248, 0.0321, 0.0249]
INFO:root:[1][1810/2187] Loss_D: 0.1852 Loss_G: 3.1106 R1: 0.0389 R2: 0.0308 w_avg: [ 0.2148, 0.2614, 0.2156, ..., -0.1247, 0.0322, 0.0248]
INFO:root:[1][1811/2187] Loss_D: 0.2375 Loss_G: 2.2856 R1: 0.0368 R2: 0.0320 w_avg: [ 0.2148, 0.2618, 0.2158, ..., -0.1248, 0.0322, 0.0246]
INFO:root:[1][1812/2187] Loss_D: 0.6066 Loss_G: 2.1634 R1: 0.0399 R2: 0.0348 w_avg: [ 0.2152, 0.2616, 0.2162, ..., -0.1248, 0.0321, 0.0242]
INFO:root:[1][1813/2187] Loss_D: 0.4009 Loss_G: 1.7533 R1: 0.0303 R2: 0.0370 w_avg: [ 0.2154, 0.2616, 0.2161, ..., -0.1247, 0.0320, 0.0243]
INFO:root:[1][1814/2187] Loss_D: 0.5397 Loss_G: 2.1185 R1: 0.0354 R2: 0.0494 w_avg: [ 0.2150, 0.2614, 0.2160, ..., -0.1248, 0.0322, 0.0241]
INFO:root:[1][1815/2187] Loss_D: 0.4233 Loss_G: 2.9812 R1: 0.0424 R2: 0.0436 w_avg: [ 0.2148, 0.2613, 0.2158, ..., -0.1249, 0.0321, 0.0241]
INFO:root:[1][1816/2187] Loss_D: 0.3505 Loss_G: 2.7559 R1: 0.0413 R2: 0.0417 w_avg: [ 0.2150, 0.2616, 0.2156, ..., -0.1249, 0.0319, 0.0244]
INFO:root:[1][1817/2187] Loss_D: 0.2547 Loss_G: 2.2483 R1: 0.0435 R2: 0.0430 w_avg: [ 0.2150, 0.2618, 0.2160, ..., -0.1250, 0.0320, 0.0245]
INFO:root:[1][1818/2187] Loss_D: 0.2791 Loss_G: 2.2555 R1: 0.0423 R2: 0.0456 w_avg: [ 0.2151, 0.2614, 0.2160, ..., -0.1249, 0.0320, 0.0246]
INFO:root:[1][1819/2187] Loss_D: 0.3054 Loss_G: 2.7340 R1: 0.0470 R2: 0.0357 w_avg: [ 0.2149, 0.2613, 0.2155, ..., -0.1250, 0.0315, 0.0249]
INFO:root:[1][1820/2187] Loss_D: 0.3323 Loss_G: 2.3535 R1: 0.0488 R2: 0.0288 w_avg: [ 0.2147, 0.2619, 0.2152, ..., -0.1250, 0.0315, 0.0248]
INFO:root:[1][1821/2187] Loss_D: 0.2782 Loss_G: 2.3545 R1: 0.0465 R2: 0.0357 w_avg: [ 0.2148, 0.2618, 0.2155, ..., -0.1251, 0.0315, 0.0248]
INFO:root:[1][1822/2187] Loss_D: 0.4592 Loss_G: 2.1074 R1: 0.0480 R2: 0.0540 w_avg: [ 0.2148, 0.2620, 0.2157, ..., -0.1250, 0.0315, 0.0245]
INFO:root:[1][1823/2187] Loss_D: 0.4072 Loss_G: 1.7923 R1: 0.0401 R2: 0.0323 w_avg: [ 0.2150, 0.2619, 0.2159, ..., -0.1251, 0.0316, 0.0242]
INFO:root:[1][1824/2187] Loss_D: 0.3511 Loss_G: 2.2776 R1: 0.0483 R2: 0.0356 w_avg: [ 0.2150, 0.2615, 0.2158, ..., -0.1251, 0.0319, 0.0245]
INFO:root:[1][1825/2187] Loss_D: 0.1895 Loss_G: 2.0995 R1: 0.0416 R2: 0.0360 w_avg: [ 0.2148, 0.2613, 0.2157, ..., -0.1251, 0.0317, 0.0244]
INFO:root:[1][1826/2187] Loss_D: 0.3652 Loss_G: 2.2468 R1: 0.0441 R2: 0.0493 w_avg: [ 0.2146, 0.2613, 0.2163, ..., -0.1252, 0.0316, 0.0244]
INFO:root:[1][1827/2187] Loss_D: 0.2886 Loss_G: 2.0313 R1: 0.0442 R2: 0.0423 w_avg: [ 0.2144, 0.2612, 0.2163, ..., -0.1251, 0.0315, 0.0243]
INFO:root:[1][1828/2187] Loss_D: 0.3372 Loss_G: 2.2373 R1: 0.0408 R2: 0.0431 w_avg: [ 0.2145, 0.2611, 0.2167, ..., -0.1252, 0.0315, 0.0240]
INFO:root:[1][1829/2187] Loss_D: 0.3229 Loss_G: 2.1044 R1: 0.0396 R2: 0.0434 w_avg: [ 0.2143, 0.2611, 0.2169, ..., -0.1250, 0.0318, 0.0244]
INFO:root:[1][1830/2187] Loss_D: 0.3648 Loss_G: 2.4040 R1: 0.0393 R2: 0.0404 w_avg: [ 0.2143, 0.2613, 0.2170, ..., -0.1252, 0.0317, 0.0243]
INFO:root:[1][1831/2187] Loss_D: 0.3688 Loss_G: 2.3376 R1: 0.0430 R2: 0.0400 w_avg: [ 0.2145, 0.2616, 0.2171, ..., -0.1251, 0.0314, 0.0247]
INFO:root:[1][1832/2187] Loss_D: 0.2927 Loss_G: 1.8653 R1: 0.0450 R2: 0.0379 w_avg: [ 0.2147, 0.2619, 0.2176, ..., -0.1251, 0.0315, 0.0248]
INFO:root:[1][1833/2187] Loss_D: 0.3792 Loss_G: 2.1421 R1: 0.0417 R2: 0.0369 w_avg: [ 0.2148, 0.2619, 0.2175, ..., -0.1253, 0.0315, 0.0246]
INFO:root:[1][1834/2187] Loss_D: 0.3837 Loss_G: 2.6388 R1: 0.0363 R2: 0.0386 w_avg: [ 0.2149, 0.2618, 0.2175, ..., -0.1254, 0.0316, 0.0245]
INFO:root:[1][1835/2187] Loss_D: 0.4608 Loss_G: 2.3309 R1: 0.0373 R2: 0.0345 w_avg: [ 0.2144, 0.2617, 0.2176, ..., -0.1253, 0.0314, 0.0244]
INFO:root:[1][1836/2187] Loss_D: 0.3409 Loss_G: 2.3523 R1: 0.0395 R2: 0.0318 w_avg: [ 0.2147, 0.2615, 0.2172, ..., -0.1250, 0.0313, 0.0249]
INFO:root:[1][1837/2187] Loss_D: 0.3126 Loss_G: 1.8028 R1: 0.0404 R2: 0.0301 w_avg: [ 0.2149, 0.2616, 0.2168, ..., -0.1245, 0.0310, 0.0249]
INFO:root:[1][1838/2187] Loss_D: 0.3067 Loss_G: 2.1677 R1: 0.0383 R2: 0.0404 w_avg: [ 0.2149, 0.2616, 0.2164, ..., -0.1246, 0.0311, 0.0256]
INFO:root:[1][1839/2187] Loss_D: 0.3381 Loss_G: 2.6043 R1: 0.0411 R2: 0.0375 w_avg: [ 0.2154, 0.2618, 0.2161, ..., -0.1247, 0.0312, 0.0255]
INFO:root:[1][1840/2187] Loss_D: 0.3164 Loss_G: 1.8646 R1: 0.0388 R2: 0.0266 w_avg: [ 0.2152, 0.2618, 0.2164, ..., -0.1248, 0.0310, 0.0256]
INFO:root:[1][1841/2187] Loss_D: 0.3077 Loss_G: 2.3297 R1: 0.0428 R2: 0.0339 w_avg: [ 0.2153, 0.2616, 0.2160, ..., -0.1249, 0.0309, 0.0263]
INFO:root:[1][1842/2187] Loss_D: 0.3858 Loss_G: 3.0921 R1: 0.0431 R2: 0.0324 w_avg: [ 0.2150, 0.2614, 0.2162, ..., -0.1250, 0.0308, 0.0264]
INFO:root:[1][1843/2187] Loss_D: 0.4300 Loss_G: 2.4778 R1: 0.0453 R2: 0.0412 w_avg: [ 0.2153, 0.2612, 0.2162, ..., -0.1250, 0.0309, 0.0264]
INFO:root:[1][1844/2187] Loss_D: 0.3646 Loss_G: 2.5259 R1: 0.0448 R2: 0.0441 w_avg: [ 0.2156, 0.2611, 0.2162, ..., -0.1251, 0.0314, 0.0266]
INFO:root:[1][1845/2187] Loss_D: 0.3268 Loss_G: 2.5765 R1: 0.0477 R2: 0.0431 w_avg: [ 0.2151, 0.2607, 0.2162, ..., -0.1252, 0.0312, 0.0261]
INFO:root:[1][1846/2187] Loss_D: 0.3961 Loss_G: 2.0926 R1: 0.0527 R2: 0.0463 w_avg: [ 0.2148, 0.2604, 0.2159, ..., -0.1251, 0.0309, 0.0259]
INFO:root:[1][1847/2187] Loss_D: 0.3297 Loss_G: 1.9678 R1: 0.0518 R2: 0.0382 w_avg: [ 0.2151, 0.2603, 0.2163, ..., -0.1251, 0.0311, 0.0258]
INFO:root:[1][1848/2187] Loss_D: 0.5380 Loss_G: 2.3851 R1: 0.0493 R2: 0.0477 w_avg: [ 0.2151, 0.2602, 0.2164, ..., -0.1250, 0.0312, 0.0258]
INFO:root:[1][1849/2187] Loss_D: 0.3986 Loss_G: 2.5772 R1: 0.0443 R2: 0.0418 w_avg: [ 0.2150, 0.2600, 0.2164, ..., -0.1248, 0.0311, 0.0259]
INFO:root:[1][1850/2187] Loss_D: 0.3105 Loss_G: 2.6391 R1: 0.0528 R2: 0.0376 w_avg: [ 0.2153, 0.2599, 0.2161, ..., -0.1249, 0.0314, 0.0256]
INFO:root:[1][1851/2187] Loss_D: 0.3367 Loss_G: 2.2154 R1: 0.0448 R2: 0.0498 w_avg: [ 0.2149, 0.2595, 0.2161, ..., -0.1250, 0.0313, 0.0257]
INFO:root:[1][1852/2187] Loss_D: 0.3298 Loss_G: 2.6175 R1: 0.0488 R2: 0.0387 w_avg: [ 0.2148, 0.2595, 0.2162, ..., -0.1249, 0.0310, 0.0255]
INFO:root:[1][1853/2187] Loss_D: 0.3299 Loss_G: 2.3005 R1: 0.0507 R2: 0.0441 w_avg: [ 0.2149, 0.2592, 0.2161, ..., -0.1249, 0.0309, 0.0255]
INFO:root:[1][1854/2187] Loss_D: 0.2705 Loss_G: 3.0227 R1: 0.0477 R2: 0.0354 w_avg: [ 0.2153, 0.2596, 0.2162, ..., -0.1250, 0.0311, 0.0255]
INFO:root:[1][1855/2187] Loss_D: 0.2162 Loss_G: 2.3574 R1: 0.0489 R2: 0.0370 w_avg: [ 0.2154, 0.2595, 0.2162, ..., -0.1249, 0.0315, 0.0256]
INFO:root:[1][1856/2187] Loss_D: 0.3496 Loss_G: 2.5497 R1: 0.0444 R2: 0.0560 w_avg: [ 0.2151, 0.2598, 0.2161, ..., -0.1251, 0.0313, 0.0259]
INFO:root:[1][1857/2187] Loss_D: 0.4231 Loss_G: 3.2052 R1: 0.0454 R2: 0.0376 w_avg: [ 0.2150, 0.2596, 0.2162, ..., -0.1251, 0.0313, 0.0258]
INFO:root:[1][1858/2187] Loss_D: 0.3814 Loss_G: 2.5823 R1: 0.0395 R2: 0.0391 w_avg: [ 0.2153, 0.2595, 0.2164, ..., -0.1251, 0.0315, 0.0257]
INFO:root:[1][1859/2187] Loss_D: 0.3096 Loss_G: 2.6086 R1: 0.0445 R2: 0.0312 w_avg: [ 0.2153, 0.2596, 0.2166, ..., -0.1252, 0.0317, 0.0254]
INFO:root:[1][1860/2187] Loss_D: 0.3104 Loss_G: 1.6973 R1: 0.0478 R2: 0.0414 w_avg: [ 0.2153, 0.2601, 0.2166, ..., -0.1254, 0.0314, 0.0253]
INFO:root:[1][1861/2187] Loss_D: 0.2596 Loss_G: 1.9485 R1: 0.0538 R2: 0.0313 w_avg: [ 0.2149, 0.2599, 0.2168, ..., -0.1252, 0.0316, 0.0250]
INFO:root:[1][1862/2187] Loss_D: 0.2836 Loss_G: 2.1708 R1: 0.0458 R2: 0.0439 w_avg: [ 0.2145, 0.2598, 0.2167, ..., -0.1250, 0.0314, 0.0255]
INFO:root:[1][1863/2187] Loss_D: 0.4078 Loss_G: 2.8251 R1: 0.0493 R2: 0.0384 w_avg: [ 0.2145, 0.2596, 0.2169, ..., -0.1251, 0.0316, 0.0256]
INFO:root:[1][1864/2187] Loss_D: 0.3195 Loss_G: 2.1075 R1: 0.0514 R2: 0.0425 w_avg: [ 0.2140, 0.2595, 0.2168, ..., -0.1250, 0.0318, 0.0256]
INFO:root:[1][1865/2187] Loss_D: 0.3787 Loss_G: 2.3781 R1: 0.0449 R2: 0.0434 w_avg: [ 0.2145, 0.2595, 0.2167, ..., -0.1250, 0.0318, 0.0257]
INFO:root:[1][1866/2187] Loss_D: 0.3520 Loss_G: 2.1876 R1: 0.0464 R2: 0.0416 w_avg: [ 0.2144, 0.2591, 0.2168, ..., -0.1249, 0.0320, 0.0257]
INFO:root:[1][1867/2187] Loss_D: 0.3339 Loss_G: 2.8102 R1: 0.0421 R2: 0.0537 w_avg: [ 0.2145, 0.2595, 0.2174, ..., -0.1250, 0.0319, 0.0258]
INFO:root:[1][1868/2187] Loss_D: 0.3344 Loss_G: 1.9377 R1: 0.0456 R2: 0.0436 w_avg: [ 0.2142, 0.2595, 0.2173, ..., -0.1251, 0.0318, 0.0259]
INFO:root:[1][1869/2187] Loss_D: 0.5074 Loss_G: 2.4373 R1: 0.0356 R2: 0.0501 w_avg: [ 0.2139, 0.2601, 0.2173, ..., -0.1253, 0.0317, 0.0260]
INFO:root:[1][1870/2187] Loss_D: 0.3330 Loss_G: 2.2357 R1: 0.0412 R2: 0.0425 w_avg: [ 0.2133, 0.2600, 0.2175, ..., -0.1252, 0.0317, 0.0259]
INFO:root:[1][1871/2187] Loss_D: 0.4811 Loss_G: 2.6563 R1: 0.0408 R2: 0.0401 w_avg: [ 0.2131, 0.2594, 0.2173, ..., -0.1253, 0.0324, 0.0258]
INFO:root:[1][1872/2187] Loss_D: 0.3206 Loss_G: 2.4060 R1: 0.0471 R2: 0.0321 w_avg: [ 0.2129, 0.2592, 0.2174, ..., -0.1254, 0.0322, 0.0255]
INFO:root:[1][1873/2187] Loss_D: 0.3551 Loss_G: 2.1470 R1: 0.0386 R2: 0.0444 w_avg: [ 0.2131, 0.2590, 0.2174, ..., -0.1252, 0.0320, 0.0255]
INFO:root:[1][1874/2187] Loss_D: 0.3423 Loss_G: 2.2671 R1: 0.0416 R2: 0.0323 w_avg: [ 0.2128, 0.2588, 0.2173, ..., -0.1250, 0.0317, 0.0252]
INFO:root:[1][1875/2187] Loss_D: 0.4095 Loss_G: 2.3526 R1: 0.0361 R2: 0.0409 w_avg: [ 0.2124, 0.2583, 0.2169, ..., -0.1250, 0.0315, 0.0253]
INFO:root:[1][1876/2187] Loss_D: 0.2183 Loss_G: 2.1103 R1: 0.0339 R2: 0.0343 w_avg: [ 0.2119, 0.2583, 0.2170, ..., -0.1247, 0.0315, 0.0254]
INFO:root:[1][1877/2187] Loss_D: 0.2550 Loss_G: 2.3099 R1: 0.0389 R2: 0.0304 w_avg: [ 0.2116, 0.2583, 0.2174, ..., -0.1248, 0.0318, 0.0254]
INFO:root:[1][1878/2187] Loss_D: 0.3334 Loss_G: 2.4441 R1: 0.0339 R2: 0.0319 w_avg: [ 0.2118, 0.2581, 0.2174, ..., -0.1249, 0.0316, 0.0253]
INFO:root:[1][1879/2187] Loss_D: 0.3292 Loss_G: 1.9824 R1: 0.0384 R2: 0.0394 w_avg: [ 0.2120, 0.2577, 0.2172, ..., -0.1251, 0.0319, 0.0256]
INFO:root:[1][1880/2187] Loss_D: 0.3554 Loss_G: 2.2441 R1: 0.0354 R2: 0.0359 w_avg: [ 0.2121, 0.2575, 0.2174, ..., -0.1252, 0.0321, 0.0257]
INFO:root:[1][1881/2187] Loss_D: 0.2476 Loss_G: 2.0883 R1: 0.0408 R2: 0.0391 w_avg: [ 0.2122, 0.2577, 0.2174, ..., -0.1254, 0.0318, 0.0259]
INFO:root:[1][1882/2187] Loss_D: 0.4659 Loss_G: 1.9702 R1: 0.0472 R2: 0.0476 w_avg: [ 0.2127, 0.2578, 0.2175, ..., -0.1253, 0.0319, 0.0259]
INFO:root:[1][1883/2187] Loss_D: 0.2646 Loss_G: 1.8693 R1: 0.0420 R2: 0.0362 w_avg: [ 0.2131, 0.2575, 0.2173, ..., -0.1254, 0.0317, 0.0260]
INFO:root:[1][1884/2187] Loss_D: 0.2581 Loss_G: 2.3876 R1: 0.0348 R2: 0.0326 w_avg: [ 0.2128, 0.2574, 0.2173, ..., -0.1255, 0.0315, 0.0257]
INFO:root:[1][1885/2187] Loss_D: 0.5487 Loss_G: 2.6492 R1: 0.0424 R2: 0.0341 w_avg: [ 0.2127, 0.2582, 0.2175, ..., -0.1253, 0.0313, 0.0258]
INFO:root:[1][1886/2187] Loss_D: 0.3744 Loss_G: 2.6677 R1: 0.0401 R2: 0.0337 w_avg: [ 0.2129, 0.2581, 0.2176, ..., -0.1255, 0.0310, 0.0255]
INFO:root:[1][1887/2187] Loss_D: 0.3272 Loss_G: 2.5801 R1: 0.0331 R2: 0.0344 w_avg: [ 0.2130, 0.2580, 0.2174, ..., -0.1253, 0.0311, 0.0254]
INFO:root:[1][1888/2187] Loss_D: 0.3627 Loss_G: 2.5081 R1: 0.0332 R2: 0.0370 w_avg: [ 0.2128, 0.2579, 0.2169, ..., -0.1254, 0.0310, 0.0254]
INFO:root:[1][1889/2187] Loss_D: 0.3006 Loss_G: 2.4038 R1: 0.0375 R2: 0.0482 w_avg: [ 0.2125, 0.2579, 0.2171, ..., -0.1255, 0.0311, 0.0253]
INFO:root:[1][1890/2187] Loss_D: 0.4403 Loss_G: 1.5817 R1: 0.0406 R2: 0.0474 w_avg: [ 0.2125, 0.2575, 0.2169, ..., -0.1256, 0.0310, 0.0252]
INFO:root:[1][1891/2187] Loss_D: 0.3186 Loss_G: 1.6372 R1: 0.0370 R2: 0.0431 w_avg: [ 0.2125, 0.2576, 0.2166, ..., -0.1257, 0.0309, 0.0252]
INFO:root:[1][1892/2187] Loss_D: 0.3500 Loss_G: 2.0621 R1: 0.0360 R2: 0.0484 w_avg: [ 0.2124, 0.2582, 0.2167, ..., -0.1257, 0.0311, 0.0250]
INFO:root:[1][1893/2187] Loss_D: 0.2231 Loss_G: 2.1118 R1: 0.0340 R2: 0.0454 w_avg: [ 0.2127, 0.2584, 0.2166, ..., -0.1255, 0.0313, 0.0250]
INFO:root:[1][1894/2187] Loss_D: 0.3300 Loss_G: 2.2612 R1: 0.0316 R2: 0.0436 w_avg: [ 0.2131, 0.2584, 0.2164, ..., -0.1255, 0.0313, 0.0249]
INFO:root:[1][1895/2187] Loss_D: 0.3972 Loss_G: 2.3312 R1: 0.0403 R2: 0.0477 w_avg: [ 0.2128, 0.2585, 0.2164, ..., -0.1255, 0.0312, 0.0249]
INFO:root:[1][1896/2187] Loss_D: 0.3574 Loss_G: 1.8752 R1: 0.0310 R2: 0.0503 w_avg: [ 0.2127, 0.2586, 0.2164, ..., -0.1254, 0.0309, 0.0248]
INFO:root:[1][1897/2187] Loss_D: 0.3886 Loss_G: 2.3779 R1: 0.0325 R2: 0.0459 w_avg: [ 0.2121, 0.2585, 0.2160, ..., -0.1255, 0.0307, 0.0249]
INFO:root:[1][1898/2187] Loss_D: 0.2812 Loss_G: 2.4918 R1: 0.0353 R2: 0.0418 w_avg: [ 0.2117, 0.2580, 0.2158, ..., -0.1252, 0.0306, 0.0247]
INFO:root:[1][1899/2187] Loss_D: 0.4618 Loss_G: 2.5882 R1: 0.0413 R2: 0.0428 w_avg: [ 0.2117, 0.2580, 0.2162, ..., -0.1254, 0.0307, 0.0247]
INFO:root:[1][1900/2187] Loss_D: 0.3081 Loss_G: 2.8419 R1: 0.0383 R2: 0.0383 w_avg: [ 0.2114, 0.2579, 0.2160, ..., -0.1254, 0.0305, 0.0247]
INFO:root:[1][1901/2187] Loss_D: 0.3669 Loss_G: 2.1723 R1: 0.0389 R2: 0.0421 w_avg: [ 0.2116, 0.2577, 0.2161, ..., -0.1255, 0.0304, 0.0247]
INFO:root:[1][1902/2187] Loss_D: 0.2330 Loss_G: 2.2020 R1: 0.0355 R2: 0.0289 w_avg: [ 0.2118, 0.2576, 0.2162, ..., -0.1255, 0.0306, 0.0252]
INFO:root:[1][1903/2187] Loss_D: 0.3524 Loss_G: 2.2562 R1: 0.0421 R2: 0.0341 w_avg: [ 0.2120, 0.2580, 0.2159, ..., -0.1255, 0.0307, 0.0254]
INFO:root:[1][1904/2187] Loss_D: 0.2543 Loss_G: 1.7553 R1: 0.0398 R2: 0.0333 w_avg: [ 0.2117, 0.2578, 0.2157, ..., -0.1256, 0.0308, 0.0254]
INFO:root:[1][1905/2187] Loss_D: 0.3535 Loss_G: 2.2863 R1: 0.0424 R2: 0.0363 w_avg: [ 0.2118, 0.2578, 0.2157, ..., -0.1258, 0.0310, 0.0252]
INFO:root:[1][1906/2187] Loss_D: 0.2449 Loss_G: 2.1692 R1: 0.0411 R2: 0.0397 w_avg: [ 0.2121, 0.2577, 0.2157, ..., -0.1259, 0.0310, 0.0251]
INFO:root:[1][1907/2187] Loss_D: 0.6927 Loss_G: 2.2937 R1: 0.0392 R2: 0.0444 w_avg: [ 0.2133, 0.2580, 0.2160, ..., -0.1260, 0.0315, 0.0251]
INFO:root:[1][1908/2187] Loss_D: 0.3427 Loss_G: 2.7488 R1: 0.0449 R2: 0.0315 w_avg: [ 0.2128, 0.2578, 0.2161, ..., -0.1260, 0.0316, 0.0251]
INFO:root:[1][1909/2187] Loss_D: 0.2602 Loss_G: 2.4548 R1: 0.0431 R2: 0.0279 w_avg: [ 0.2129, 0.2577, 0.2162, ..., -0.1258, 0.0314, 0.0253]
INFO:root:[1][1910/2187] Loss_D: 0.2931 Loss_G: 1.6304 R1: 0.0420 R2: 0.0345 w_avg: [ 0.2132, 0.2581, 0.2161, ..., -0.1258, 0.0313, 0.0253]
INFO:root:[1][1911/2187] Loss_D: 0.3566 Loss_G: 1.8907 R1: 0.0407 R2: 0.0353 w_avg: [ 0.2131, 0.2576, 0.2157, ..., -0.1258, 0.0315, 0.0252]
INFO:root:[1][1912/2187] Loss_D: 0.2733 Loss_G: 2.5668 R1: 0.0439 R2: 0.0341 w_avg: [ 0.2133, 0.2576, 0.2154, ..., -0.1259, 0.0313, 0.0252]
INFO:root:[1][1913/2187] Loss_D: 0.4166 Loss_G: 2.6518 R1: 0.0410 R2: 0.0347 w_avg: [ 0.2132, 0.2573, 0.2153, ..., -0.1259, 0.0315, 0.0251]
INFO:root:[1][1914/2187] Loss_D: 0.4044 Loss_G: 2.4260 R1: 0.0461 R2: 0.0430 w_avg: [ 0.2131, 0.2572, 0.2152, ..., -0.1260, 0.0314, 0.0253]
INFO:root:[1][1915/2187] Loss_D: 0.3969 Loss_G: 2.9387 R1: 0.0506 R2: 0.0535 w_avg: [ 0.2134, 0.2578, 0.2152, ..., -0.1261, 0.0314, 0.0251]
INFO:root:[1][1916/2187] Loss_D: 0.3004 Loss_G: 2.6439 R1: 0.0479 R2: 0.0410 w_avg: [ 0.2135, 0.2577, 0.2151, ..., -0.1262, 0.0314, 0.0251]
INFO:root:[1][1917/2187] Loss_D: 0.2556 Loss_G: 2.7517 R1: 0.0496 R2: 0.0371 w_avg: [ 0.2132, 0.2575, 0.2150, ..., -0.1261, 0.0314, 0.0249]
INFO:root:[1][1918/2187] Loss_D: 0.2400 Loss_G: 2.5629 R1: 0.0408 R2: 0.0374 w_avg: [ 0.2131, 0.2579, 0.2158, ..., -0.1262, 0.0313, 0.0246]
INFO:root:[1][1919/2187] Loss_D: 0.3687 Loss_G: 2.8260 R1: 0.0464 R2: 0.0398 w_avg: [ 0.2128, 0.2575, 0.2156, ..., -0.1263, 0.0313, 0.0245]
INFO:root:[1][1920/2187] Loss_D: 0.3389 Loss_G: 2.8363 R1: 0.0384 R2: 0.0397 w_avg: [ 0.2126, 0.2575, 0.2157, ..., -0.1265, 0.0314, 0.0246]
INFO:root:[1][1921/2187] Loss_D: 0.3897 Loss_G: 1.7210 R1: 0.0396 R2: 0.0482 w_avg: [ 0.2123, 0.2571, 0.2156, ..., -0.1263, 0.0312, 0.0244]
INFO:root:[1][1922/2187] Loss_D: 0.4582 Loss_G: 2.0861 R1: 0.0387 R2: 0.0429 w_avg: [ 0.2124, 0.2569, 0.2156, ..., -0.1262, 0.0311, 0.0243]
INFO:root:[1][1923/2187] Loss_D: 0.2981 Loss_G: 2.6220 R1: 0.0360 R2: 0.0533 w_avg: [ 0.2122, 0.2570, 0.2156, ..., -0.1258, 0.0309, 0.0243]
INFO:root:[1][1924/2187] Loss_D: 0.3268 Loss_G: 2.0454 R1: 0.0413 R2: 0.0443 w_avg: [ 0.2122, 0.2574, 0.2152, ..., -0.1259, 0.0309, 0.0246]
INFO:root:[1][1925/2187] Loss_D: 0.4609 Loss_G: 2.5446 R1: 0.0404 R2: 0.0415 w_avg: [ 0.2123, 0.2575, 0.2149, ..., -0.1259, 0.0309, 0.0247]
INFO:root:[1][1926/2187] Loss_D: 0.2861 Loss_G: 2.3743 R1: 0.0416 R2: 0.0352 w_avg: [ 0.2123, 0.2575, 0.2147, ..., -0.1259, 0.0309, 0.0248]
INFO:root:[1][1927/2187] Loss_D: 0.3862 Loss_G: 2.2060 R1: 0.0411 R2: 0.0428 w_avg: [ 0.2120, 0.2575, 0.2146, ..., -0.1259, 0.0308, 0.0244]
INFO:root:[1][1928/2187] Loss_D: 0.4050 Loss_G: 2.2947 R1: 0.0403 R2: 0.0311 w_avg: [ 0.2120, 0.2577, 0.2141, ..., -0.1259, 0.0307, 0.0244]
INFO:root:[1][1929/2187] Loss_D: 0.4078 Loss_G: 2.5805 R1: 0.0436 R2: 0.0353 w_avg: [ 0.2119, 0.2575, 0.2139, ..., -0.1256, 0.0307, 0.0246]
INFO:root:[1][1930/2187] Loss_D: 0.2847 Loss_G: 2.3524 R1: 0.0419 R2: 0.0262 w_avg: [ 0.2116, 0.2575, 0.2138, ..., -0.1254, 0.0309, 0.0246]
INFO:root:[1][1931/2187] Loss_D: 0.5055 Loss_G: 1.9796 R1: 0.0489 R2: 0.0496 w_avg: [ 0.2116, 0.2573, 0.2137, ..., -0.1255, 0.0307, 0.0245]
INFO:root:[1][1932/2187] Loss_D: 0.3610 Loss_G: 2.9089 R1: 0.0540 R2: 0.0269 w_avg: [ 0.2117, 0.2572, 0.2143, ..., -0.1253, 0.0307, 0.0245]
INFO:root:[1][1933/2187] Loss_D: 0.3197 Loss_G: 2.5560 R1: 0.0405 R2: 0.0357 w_avg: [ 0.2119, 0.2570, 0.2146, ..., -0.1254, 0.0307, 0.0247]
INFO:root:[1][1934/2187] Loss_D: 0.2839 Loss_G: 2.1988 R1: 0.0399 R2: 0.0437 w_avg: [ 0.2118, 0.2569, 0.2143, ..., -0.1254, 0.0307, 0.0245]
INFO:root:[1][1935/2187] Loss_D: 0.3960 Loss_G: 2.6152 R1: 0.0477 R2: 0.0467 w_avg: [ 0.2122, 0.2569, 0.2145, ..., -0.1254, 0.0307, 0.0245]
INFO:root:[1][1936/2187] Loss_D: 0.6832 Loss_G: 2.8223 R1: 0.0481 R2: 0.0503 w_avg: [ 0.2124, 0.2572, 0.2147, ..., -0.1254, 0.0304, 0.0244]
INFO:root:[1][1937/2187] Loss_D: 0.3284 Loss_G: 2.4397 R1: 0.0375 R2: 0.0325 w_avg: [ 0.2125, 0.2569, 0.2151, ..., -0.1254, 0.0302, 0.0243]
INFO:root:[1][1938/2187] Loss_D: 0.3006 Loss_G: 2.1257 R1: 0.0383 R2: 0.0354 w_avg: [ 0.2132, 0.2568, 0.2151, ..., -0.1253, 0.0302, 0.0243]
INFO:root:[1][1939/2187] Loss_D: 0.3315 Loss_G: 2.4094 R1: 0.0393 R2: 0.0364 w_avg: [ 0.2133, 0.2567, 0.2146, ..., -0.1252, 0.0301, 0.0240]
INFO:root:[1][1940/2187] Loss_D: 0.4669 Loss_G: 2.6606 R1: 0.0391 R2: 0.0366 w_avg: [ 0.2133, 0.2569, 0.2147, ..., -0.1253, 0.0303, 0.0239]
INFO:root:[1][1941/2187] Loss_D: 0.2945 Loss_G: 2.3776 R1: 0.0511 R2: 0.0303 w_avg: [ 0.2132, 0.2570, 0.2145, ..., -0.1254, 0.0302, 0.0245]
INFO:root:[1][1942/2187] Loss_D: 0.3017 Loss_G: 2.1084 R1: 0.0406 R2: 0.0412 w_avg: [ 0.2131, 0.2568, 0.2147, ..., -0.1253, 0.0302, 0.0243]
INFO:root:[1][1943/2187] Loss_D: 0.4014 Loss_G: 1.9594 R1: 0.0315 R2: 0.0383 w_avg: [ 0.2133, 0.2566, 0.2142, ..., -0.1251, 0.0304, 0.0244]
INFO:root:[1][1944/2187] Loss_D: 0.3750 Loss_G: 2.5216 R1: 0.0358 R2: 0.0467 w_avg: [ 0.2136, 0.2567, 0.2143, ..., -0.1252, 0.0307, 0.0243]
INFO:root:[1][1945/2187] Loss_D: 0.2475 Loss_G: 2.0797 R1: 0.0413 R2: 0.0432 w_avg: [ 0.2131, 0.2568, 0.2142, ..., -0.1252, 0.0306, 0.0244]
INFO:root:[1][1946/2187] Loss_D: 0.3320 Loss_G: 2.3457 R1: 0.0394 R2: 0.0371 w_avg: [ 0.2129, 0.2567, 0.2139, ..., -0.1254, 0.0307, 0.0242]
INFO:root:[1][1947/2187] Loss_D: 0.3035 Loss_G: 2.4290 R1: 0.0394 R2: 0.0517 w_avg: [ 0.2131, 0.2566, 0.2137, ..., -0.1255, 0.0308, 0.0242]
INFO:root:[1][1948/2187] Loss_D: 0.2481 Loss_G: 1.8062 R1: 0.0482 R2: 0.0341 w_avg: [ 0.2134, 0.2567, 0.2139, ..., -0.1255, 0.0313, 0.0241]
INFO:root:[1][1949/2187] Loss_D: 0.3964 Loss_G: 2.2213 R1: 0.0423 R2: 0.0373 w_avg: [ 0.2137, 0.2567, 0.2140, ..., -0.1252, 0.0311, 0.0244]
INFO:root:[1][1950/2187] Loss_D: 0.3823 Loss_G: 2.5982 R1: 0.0465 R2: 0.0314 w_avg: [ 0.2134, 0.2567, 0.2138, ..., -0.1252, 0.0310, 0.0242]
INFO:root:[1][1951/2187] Loss_D: 0.2902 Loss_G: 2.6099 R1: 0.0431 R2: 0.0316 w_avg: [ 0.2135, 0.2568, 0.2141, ..., -0.1253, 0.0309, 0.0241]
INFO:root:[1][1952/2187] Loss_D: 0.3126 Loss_G: 2.1122 R1: 0.0404 R2: 0.0394 w_avg: [ 0.2136, 0.2566, 0.2144, ..., -0.1255, 0.0309, 0.0241]
INFO:root:[1][1953/2187] Loss_D: 0.3185 Loss_G: 2.6222 R1: 0.0401 R2: 0.0504 w_avg: [ 0.2136, 0.2565, 0.2144, ..., -0.1254, 0.0309, 0.0241]
INFO:root:[1][1954/2187] Loss_D: 0.2567 Loss_G: 2.4249 R1: 0.0448 R2: 0.0405 w_avg: [ 0.2137, 0.2563, 0.2147, ..., -0.1254, 0.0308, 0.0242]
INFO:root:[1][1955/2187] Loss_D: 0.4341 Loss_G: 2.5675 R1: 0.0469 R2: 0.0483 w_avg: [ 0.2135, 0.2560, 0.2146, ..., -0.1252, 0.0308, 0.0241]
INFO:root:[1][1956/2187] Loss_D: 0.2910 Loss_G: 2.4339 R1: 0.0412 R2: 0.0427 w_avg: [ 0.2139, 0.2559, 0.2146, ..., -0.1253, 0.0308, 0.0238]
INFO:root:[1][1957/2187] Loss_D: 0.7340 Loss_G: 2.4298 R1: 0.0433 R2: 0.0363 w_avg: [ 0.2146, 0.2559, 0.2150, ..., -0.1254, 0.0305, 0.0236]
INFO:root:[1][1958/2187] Loss_D: 0.2314 Loss_G: 2.8446 R1: 0.0399 R2: 0.0201 w_avg: [ 0.2146, 0.2558, 0.2147, ..., -0.1255, 0.0305, 0.0235]
INFO:root:[1][1959/2187] Loss_D: 0.2200 Loss_G: 2.5890 R1: 0.0389 R2: 0.0300 w_avg: [ 0.2143, 0.2558, 0.2149, ..., -0.1256, 0.0304, 0.0236]
INFO:root:[1][1960/2187] Loss_D: 0.3147 Loss_G: 1.9705 R1: 0.0435 R2: 0.0340 w_avg: [ 0.2143, 0.2561, 0.2146, ..., -0.1256, 0.0302, 0.0234]
INFO:root:[1][1961/2187] Loss_D: 0.2687 Loss_G: 3.1676 R1: 0.0360 R2: 0.0397 w_avg: [ 0.2148, 0.2562, 0.2145, ..., -0.1252, 0.0306, 0.0231]
INFO:root:[1][1962/2187] Loss_D: 0.2050 Loss_G: 3.1904 R1: 0.0379 R2: 0.0416 w_avg: [ 0.2148, 0.2562, 0.2141, ..., -0.1254, 0.0308, 0.0231]
INFO:root:[1][1963/2187] Loss_D: 0.1801 Loss_G: 2.2238 R1: 0.0362 R2: 0.0406 w_avg: [ 0.2148, 0.2563, 0.2145, ..., -0.1255, 0.0307, 0.0229]
INFO:root:[1][1964/2187] Loss_D: 0.4882 Loss_G: 1.7783 R1: 0.0376 R2: 0.0436 w_avg: [ 0.2150, 0.2562, 0.2148, ..., -0.1257, 0.0308, 0.0230]
INFO:root:[1][1965/2187] Loss_D: 0.5262 Loss_G: 2.5026 R1: 0.0406 R2: 0.0451 w_avg: [ 0.2148, 0.2560, 0.2151, ..., -0.1256, 0.0306, 0.0228]
INFO:root:[1][1966/2187] Loss_D: 0.2620 Loss_G: 2.3011 R1: 0.0313 R2: 0.0421 w_avg: [ 0.2147, 0.2561, 0.2148, ..., -0.1251, 0.0303, 0.0227]
INFO:root:[1][1967/2187] Loss_D: 0.3537 Loss_G: 2.3702 R1: 0.0275 R2: 0.0387 w_avg: [ 0.2144, 0.2558, 0.2152, ..., -0.1251, 0.0303, 0.0225]
INFO:root:[1][1968/2187] Loss_D: 0.2618 Loss_G: 2.4615 R1: 0.0369 R2: 0.0356 w_avg: [ 0.2148, 0.2563, 0.2148, ..., -0.1249, 0.0303, 0.0224]
INFO:root:[1][1969/2187] Loss_D: 0.3180 Loss_G: 2.3672 R1: 0.0469 R2: 0.0313 w_avg: [ 0.2148, 0.2564, 0.2150, ..., -0.1249, 0.0300, 0.0223]
INFO:root:[1][1970/2187] Loss_D: 0.3423 Loss_G: 2.2593 R1: 0.0425 R2: 0.0323 w_avg: [ 0.2151, 0.2567, 0.2150, ..., -0.1248, 0.0301, 0.0222]
INFO:root:[1][1971/2187] Loss_D: 0.1786 Loss_G: 2.6524 R1: 0.0358 R2: 0.0327 w_avg: [ 0.2151, 0.2565, 0.2148, ..., -0.1250, 0.0299, 0.0226]
INFO:root:[1][1972/2187] Loss_D: 0.4500 Loss_G: 2.5331 R1: 0.0397 R2: 0.0477 w_avg: [ 0.2154, 0.2575, 0.2149, ..., -0.1251, 0.0299, 0.0224]
INFO:root:[1][1973/2187] Loss_D: 0.2611 Loss_G: 2.7401 R1: 0.0496 R2: 0.0316 w_avg: [ 0.2155, 0.2575, 0.2153, ..., -0.1249, 0.0301, 0.0224]
INFO:root:[1][1974/2187] Loss_D: 0.4640 Loss_G: 2.5595 R1: 0.0400 R2: 0.0514 w_avg: [ 0.2156, 0.2571, 0.2155, ..., -0.1251, 0.0300, 0.0222]
INFO:root:[1][1975/2187] Loss_D: 0.3291 Loss_G: 2.3992 R1: 0.0409 R2: 0.0421 w_avg: [ 0.2152, 0.2570, 0.2159, ..., -0.1251, 0.0303, 0.0220]
INFO:root:[1][1976/2187] Loss_D: 0.3124 Loss_G: 2.1572 R1: 0.0442 R2: 0.0349 w_avg: [ 0.2146, 0.2567, 0.2157, ..., -0.1252, 0.0304, 0.0221]
INFO:root:[1][1977/2187] Loss_D: 0.3240 Loss_G: 2.6453 R1: 0.0419 R2: 0.0383 w_avg: [ 0.2144, 0.2570, 0.2157, ..., -0.1252, 0.0303, 0.0221]
INFO:root:[1][1978/2187] Loss_D: 0.3500 Loss_G: 2.5846 R1: 0.0355 R2: 0.0381 w_avg: [ 0.2145, 0.2572, 0.2155, ..., -0.1252, 0.0305, 0.0221]
INFO:root:[1][1979/2187] Loss_D: 0.2735 Loss_G: 2.0459 R1: 0.0335 R2: 0.0335 w_avg: [ 0.2147, 0.2570, 0.2154, ..., -0.1252, 0.0304, 0.0224]
INFO:root:[1][1980/2187] Loss_D: 0.3941 Loss_G: 2.1610 R1: 0.0353 R2: 0.0404 w_avg: [ 0.2145, 0.2569, 0.2149, ..., -0.1253, 0.0304, 0.0223]
INFO:root:[1][1981/2187] Loss_D: 0.2910 Loss_G: 2.3322 R1: 0.0372 R2: 0.0434 w_avg: [ 0.2142, 0.2573, 0.2144, ..., -0.1252, 0.0301, 0.0226]
INFO:root:[1][1982/2187] Loss_D: 0.3608 Loss_G: 2.5059 R1: 0.0415 R2: 0.0366 w_avg: [ 0.2138, 0.2573, 0.2142, ..., -0.1251, 0.0305, 0.0226]
INFO:root:[1][1983/2187] Loss_D: 0.2229 Loss_G: 2.5966 R1: 0.0397 R2: 0.0354 w_avg: [ 0.2138, 0.2573, 0.2142, ..., -0.1251, 0.0304, 0.0224]
INFO:root:[1][1984/2187] Loss_D: 0.3409 Loss_G: 2.4034 R1: 0.0423 R2: 0.0369 w_avg: [ 0.2137, 0.2574, 0.2144, ..., -0.1249, 0.0303, 0.0223]
INFO:root:[1][1985/2187] Loss_D: 0.2549 Loss_G: 2.4543 R1: 0.0417 R2: 0.0226 w_avg: [ 0.2131, 0.2570, 0.2143, ..., -0.1250, 0.0302, 0.0222]
INFO:root:[1][1986/2187] Loss_D: 0.3811 Loss_G: 2.9356 R1: 0.0461 R2: 0.0381 w_avg: [ 0.2129, 0.2570, 0.2141, ..., -0.1246, 0.0302, 0.0222]
INFO:root:[1][1987/2187] Loss_D: 0.3689 Loss_G: 3.3332 R1: 0.0466 R2: 0.0439 w_avg: [ 0.2131, 0.2567, 0.2144, ..., -0.1246, 0.0301, 0.0219]
INFO:root:[1][1988/2187] Loss_D: 0.2444 Loss_G: 2.6979 R1: 0.0450 R2: 0.0440 w_avg: [ 0.2134, 0.2566, 0.2141, ..., -0.1245, 0.0302, 0.0220]
INFO:root:[1][1989/2187] Loss_D: 0.8679 Loss_G: 3.7013 R1: 0.0419 R2: 0.0420 w_avg: [ 0.2138, 0.2565, 0.2144, ..., -0.1245, 0.0301, 0.0223]
INFO:root:[1][1990/2187] Loss_D: 0.1076 Loss_G: 4.7260 R1: 0.0531 R2: 0.0124 w_avg: [ 0.2138, 0.2567, 0.2142, ..., -0.1247, 0.0301, 0.0222]
INFO:root:[1][1991/2187] Loss_D: 0.2858 Loss_G: 3.8844 R1: 0.0369 R2: 0.0370 w_avg: [ 0.2138, 0.2564, 0.2139, ..., -0.1247, 0.0301, 0.0226]
INFO:root:[1][1992/2187] Loss_D: 0.7063 Loss_G: 2.4301 R1: 0.0419 R2: 0.0416 w_avg: [ 0.2138, 0.2562, 0.2147, ..., -0.1248, 0.0298, 0.0224]
INFO:root:[1][1993/2187] Loss_D: 0.6117 Loss_G: 1.9243 R1: 0.0329 R2: 0.0420 w_avg: [ 0.2136, 0.2560, 0.2148, ..., -0.1249, 0.0299, 0.0223]
INFO:root:[1][1994/2187] Loss_D: 0.2922 Loss_G: 2.2984 R1: 0.0303 R2: 0.0416 w_avg: [ 0.2131, 0.2562, 0.2146, ..., -0.1251, 0.0298, 0.0223]
INFO:root:[1][1995/2187] Loss_D: 0.4645 Loss_G: 1.3727 R1: 0.0349 R2: 0.0408 w_avg: [ 0.2129, 0.2559, 0.2147, ..., -0.1251, 0.0301, 0.0219]
INFO:root:[1][1996/2187] Loss_D: 0.3108 Loss_G: 1.7759 R1: 0.0321 R2: 0.0380 w_avg: [ 0.2125, 0.2556, 0.2144, ..., -0.1253, 0.0301, 0.0219]
INFO:root:[1][1997/2187] Loss_D: 0.3896 Loss_G: 2.1707 R1: 0.0351 R2: 0.0415 w_avg: [ 0.2133, 0.2555, 0.2144, ..., -0.1253, 0.0299, 0.0217]
INFO:root:[1][1998/2187] Loss_D: 0.2383 Loss_G: 1.9389 R1: 0.0303 R2: 0.0399 w_avg: [ 0.2133, 0.2554, 0.2143, ..., -0.1254, 0.0298, 0.0217]
INFO:root:[1][1999/2187] Loss_D: 0.4244 Loss_G: 2.2803 R1: 0.0331 R2: 0.0385 w_avg: [ 0.2131, 0.2554, 0.2142, ..., -0.1255, 0.0298, 0.0217]
INFO:root:[1][2000/2187] Loss_D: 0.5432 Loss_G: 2.1618 R1: 0.0324 R2: 0.0455 w_avg: [ 0.2129, 0.2556, 0.2140, ..., -0.1254, 0.0295, 0.0218]
INFO:root:[1][2001/2187] Loss_D: 0.2710 Loss_G: 2.2237 R1: 0.0353 R2: 0.0329 w_avg: [ 0.2125, 0.2551, 0.2138, ..., -0.1254, 0.0296, 0.0216]
INFO:root:[1][2002/2187] Loss_D: 0.3443 Loss_G: 2.5617 R1: 0.0333 R2: 0.0343 w_avg: [ 0.2127, 0.2550, 0.2140, ..., -0.1254, 0.0297, 0.0219]
INFO:root:[1][2003/2187] Loss_D: 0.3911 Loss_G: 2.9905 R1: 0.0335 R2: 0.0385 w_avg: [ 0.2127, 0.2549, 0.2141, ..., -0.1255, 0.0299, 0.0217]
INFO:root:[1][2004/2187] Loss_D: 0.6494 Loss_G: 1.9383 R1: 0.0347 R2: 0.0312 w_avg: [ 0.2122, 0.2548, 0.2140, ..., -0.1253, 0.0300, 0.0218]
INFO:root:[1][2005/2187] Loss_D: 0.3278 Loss_G: 2.3261 R1: 0.0292 R2: 0.0396 w_avg: [ 0.2124, 0.2546, 0.2141, ..., -0.1253, 0.0298, 0.0221]
INFO:root:[1][2006/2187] Loss_D: 0.1910 Loss_G: 2.5359 R1: 0.0373 R2: 0.0204 w_avg: [ 0.2127, 0.2547, 0.2142, ..., -0.1253, 0.0299, 0.0219]
INFO:root:[1][2007/2187] Loss_D: 0.2135 Loss_G: 2.0807 R1: 0.0368 R2: 0.0311 w_avg: [ 0.2126, 0.2543, 0.2141, ..., -0.1252, 0.0298, 0.0217]
INFO:root:[1][2008/2187] Loss_D: 0.2610 Loss_G: 2.4947 R1: 0.0339 R2: 0.0361 w_avg: [ 0.2126, 0.2546, 0.2149, ..., -0.1252, 0.0297, 0.0215]
INFO:root:[1][2009/2187] Loss_D: 0.2979 Loss_G: 2.6188 R1: 0.0358 R2: 0.0330 w_avg: [ 0.2127, 0.2549, 0.2148, ..., -0.1249, 0.0295, 0.0217]
INFO:root:[1][2010/2187] Loss_D: 0.3531 Loss_G: 2.2263 R1: 0.0395 R2: 0.0321 w_avg: [ 0.2130, 0.2547, 0.2147, ..., -0.1249, 0.0296, 0.0215]
INFO:root:[1][2011/2187] Loss_D: 0.2654 Loss_G: 2.4133 R1: 0.0384 R2: 0.0311 w_avg: [ 0.2132, 0.2551, 0.2149, ..., -0.1250, 0.0295, 0.0214]
INFO:root:[1][2012/2187] Loss_D: 0.4085 Loss_G: 2.3293 R1: 0.0399 R2: 0.0328 w_avg: [ 0.2127, 0.2555, 0.2149, ..., -0.1250, 0.0295, 0.0214]
INFO:root:[1][2013/2187] Loss_D: 0.3141 Loss_G: 2.5794 R1: 0.0400 R2: 0.0242 w_avg: [ 0.2129, 0.2555, 0.2146, ..., -0.1251, 0.0298, 0.0214]
INFO:root:[1][2014/2187] Loss_D: 0.2759 Loss_G: 2.2872 R1: 0.0383 R2: 0.0374 w_avg: [ 0.2132, 0.2557, 0.2144, ..., -0.1252, 0.0298, 0.0214]
INFO:root:[1][2015/2187] Loss_D: 0.6095 Loss_G: 2.3958 R1: 0.0378 R2: 0.0366 w_avg: [ 0.2133, 0.2559, 0.2143, ..., -0.1253, 0.0297, 0.0214]
INFO:root:[1][2016/2187] Loss_D: 0.2496 Loss_G: 2.1957 R1: 0.0367 R2: 0.0250 w_avg: [ 0.2132, 0.2557, 0.2146, ..., -0.1253, 0.0297, 0.0213]
INFO:root:[1][2017/2187] Loss_D: 0.2536 Loss_G: 1.8804 R1: 0.0367 R2: 0.0304 w_avg: [ 0.2131, 0.2555, 0.2146, ..., -0.1253, 0.0300, 0.0210]
INFO:root:[1][2018/2187] Loss_D: 0.2833 Loss_G: 2.9901 R1: 0.0372 R2: 0.0329 w_avg: [ 0.2134, 0.2555, 0.2148, ..., -0.1250, 0.0303, 0.0210]
INFO:root:[1][2019/2187] Loss_D: 0.3782 Loss_G: 2.3959 R1: 0.0372 R2: 0.0410 w_avg: [ 0.2137, 0.2559, 0.2145, ..., -0.1247, 0.0301, 0.0211]
INFO:root:[1][2020/2187] Loss_D: 0.1939 Loss_G: 2.2605 R1: 0.0348 R2: 0.0330 w_avg: [ 0.2138, 0.2560, 0.2149, ..., -0.1248, 0.0300, 0.0210]
INFO:root:[1][2021/2187] Loss_D: 0.2495 Loss_G: 1.9868 R1: 0.0338 R2: 0.0375 w_avg: [ 0.2139, 0.2555, 0.2151, ..., -0.1249, 0.0300, 0.0207]
INFO:root:[1][2022/2187] Loss_D: 0.2130 Loss_G: 2.0271 R1: 0.0379 R2: 0.0336 w_avg: [ 0.2143, 0.2554, 0.2156, ..., -0.1249, 0.0301, 0.0207]
INFO:root:[1][2023/2187] Loss_D: 0.3257 Loss_G: 2.0620 R1: 0.0407 R2: 0.0331 w_avg: [ 0.2140, 0.2553, 0.2158, ..., -0.1248, 0.0304, 0.0205]
INFO:root:[1][2024/2187] Loss_D: 0.2395 Loss_G: 2.6888 R1: 0.0397 R2: 0.0473 w_avg: [ 0.2140, 0.2554, 0.2155, ..., -0.1248, 0.0301, 0.0203]
INFO:root:[1][2025/2187] Loss_D: 0.3376 Loss_G: 1.9045 R1: 0.0350 R2: 0.0369 w_avg: [ 0.2144, 0.2557, 0.2157, ..., -0.1249, 0.0301, 0.0201]
INFO:root:[1][2026/2187] Loss_D: 0.2193 Loss_G: 1.8331 R1: 0.0398 R2: 0.0361 w_avg: [ 0.2144, 0.2555, 0.2157, ..., -0.1250, 0.0299, 0.0199]
INFO:root:[1][2027/2187] Loss_D: 0.3323 Loss_G: 2.2770 R1: 0.0430 R2: 0.0389 w_avg: [ 0.2148, 0.2559, 0.2161, ..., -0.1250, 0.0301, 0.0199]
INFO:root:[1][2028/2187] Loss_D: 0.3191 Loss_G: 2.7100 R1: 0.0495 R2: 0.0370 w_avg: [ 0.2152, 0.2557, 0.2161, ..., -0.1251, 0.0301, 0.0199]
INFO:root:[1][2029/2187] Loss_D: 0.3300 Loss_G: 2.7402 R1: 0.0406 R2: 0.0430 w_avg: [ 0.2156, 0.2557, 0.2160, ..., -0.1249, 0.0300, 0.0201]
INFO:root:[1][2030/2187] Loss_D: 0.3221 Loss_G: 2.3013 R1: 0.0400 R2: 0.0402 w_avg: [ 0.2159, 0.2559, 0.2160, ..., -0.1247, 0.0301, 0.0200]
INFO:root:[1][2031/2187] Loss_D: 0.2803 Loss_G: 2.5043 R1: 0.0435 R2: 0.0387 w_avg: [ 0.2158, 0.2555, 0.2159, ..., -0.1247, 0.0300, 0.0201]
INFO:root:[1][2032/2187] Loss_D: 0.1939 Loss_G: 2.5995 R1: 0.0364 R2: 0.0380 w_avg: [ 0.2158, 0.2557, 0.2160, ..., -0.1245, 0.0300, 0.0201]
INFO:root:[1][2033/2187] Loss_D: 0.2180 Loss_G: 2.4253 R1: 0.0429 R2: 0.0389 w_avg: [ 0.2155, 0.2553, 0.2162, ..., -0.1245, 0.0299, 0.0201]
INFO:root:[1][2034/2187] Loss_D: 0.3408 Loss_G: 1.9805 R1: 0.0428 R2: 0.0445 w_avg: [ 0.2155, 0.2553, 0.2164, ..., -0.1244, 0.0298, 0.0200]
INFO:root:[1][2035/2187] Loss_D: 0.3119 Loss_G: 1.9996 R1: 0.0443 R2: 0.0417 w_avg: [ 0.2156, 0.2551, 0.2164, ..., -0.1243, 0.0296, 0.0199]
INFO:root:[1][2036/2187] Loss_D: 0.3001 Loss_G: 2.3147 R1: 0.0419 R2: 0.0422 w_avg: [ 0.2155, 0.2552, 0.2162, ..., -0.1241, 0.0296, 0.0201]
INFO:root:[1][2037/2187] Loss_D: 0.3169 Loss_G: 2.3382 R1: 0.0475 R2: 0.0491 w_avg: [ 0.2155, 0.2549, 0.2158, ..., -0.1240, 0.0293, 0.0198]
INFO:root:[1][2038/2187] Loss_D: 0.2888 Loss_G: 1.9934 R1: 0.0495 R2: 0.0423 w_avg: [ 0.2154, 0.2549, 0.2156, ..., -0.1239, 0.0296, 0.0196]
INFO:root:[1][2039/2187] Loss_D: 0.3723 Loss_G: 2.4106 R1: 0.0482 R2: 0.0405 w_avg: [ 0.2152, 0.2546, 0.2157, ..., -0.1241, 0.0293, 0.0196]
INFO:root:[1][2040/2187] Loss_D: 0.3015 Loss_G: 2.2231 R1: 0.0475 R2: 0.0391 w_avg: [ 0.2155, 0.2547, 0.2160, ..., -0.1239, 0.0292, 0.0192]
INFO:root:[1][2041/2187] Loss_D: 0.2523 Loss_G: 2.2640 R1: 0.0476 R2: 0.0311 w_avg: [ 0.2154, 0.2546, 0.2162, ..., -0.1240, 0.0298, 0.0192]
INFO:root:[1][2042/2187] Loss_D: 0.2446 Loss_G: 2.7165 R1: 0.0422 R2: 0.0341 w_avg: [ 0.2153, 0.2548, 0.2167, ..., -0.1240, 0.0296, 0.0192]
INFO:root:[1][2043/2187] Loss_D: 0.3212 Loss_G: 2.7817 R1: 0.0444 R2: 0.0378 w_avg: [ 0.2152, 0.2553, 0.2175, ..., -0.1242, 0.0295, 0.0191]
INFO:root:[1][2044/2187] Loss_D: 0.3814 Loss_G: 2.4770 R1: 0.0570 R2: 0.0471 w_avg: [ 0.2153, 0.2551, 0.2173, ..., -0.1238, 0.0292, 0.0193]
INFO:root:[1][2045/2187] Loss_D: 0.2179 Loss_G: 2.5868 R1: 0.0539 R2: 0.0405 w_avg: [ 0.2151, 0.2552, 0.2170, ..., -0.1237, 0.0288, 0.0193]
INFO:root:[1][2046/2187] Loss_D: 0.1665 Loss_G: 2.4902 R1: 0.0561 R2: 0.0302 w_avg: [ 0.2151, 0.2549, 0.2167, ..., -0.1238, 0.0288, 0.0195]
INFO:root:[1][2047/2187] Loss_D: 0.4052 Loss_G: 2.1144 R1: 0.0594 R2: 0.0418 w_avg: [ 0.2148, 0.2553, 0.2171, ..., -0.1238, 0.0285, 0.0196]
INFO:root:[1][2048/2187] Loss_D: 0.4127 Loss_G: 2.2873 R1: 0.0540 R2: 0.0397 w_avg: [ 0.2149, 0.2553, 0.2177, ..., -0.1239, 0.0283, 0.0194]
INFO:root:[1][2049/2187] Loss_D: 0.2929 Loss_G: 2.0895 R1: 0.0581 R2: 0.0323 w_avg: [ 0.2147, 0.2553, 0.2177, ..., -0.1239, 0.0283, 0.0194]
INFO:root:[1][2050/2187] Loss_D: 0.2122 Loss_G: 2.3197 R1: 0.0537 R2: 0.0425 w_avg: [ 0.2147, 0.2556, 0.2175, ..., -0.1239, 0.0282, 0.0194]
INFO:root:[1][2051/2187] Loss_D: 0.4033 Loss_G: 2.1158 R1: 0.0449 R2: 0.0446 w_avg: [ 0.2147, 0.2554, 0.2175, ..., -0.1236, 0.0288, 0.0196]
INFO:root:[1][2052/2187] Loss_D: 0.3645 Loss_G: 2.4045 R1: 0.0489 R2: 0.0377 w_avg: [ 0.2145, 0.2558, 0.2176, ..., -0.1233, 0.0286, 0.0198]
INFO:root:[1][2053/2187] Loss_D: 0.3772 Loss_G: 2.8267 R1: 0.0452 R2: 0.0435 w_avg: [ 0.2142, 0.2557, 0.2174, ..., -0.1232, 0.0287, 0.0195]
INFO:root:[1][2054/2187] Loss_D: 0.3024 Loss_G: 1.9671 R1: 0.0515 R2: 0.0424 w_avg: [ 0.2136, 0.2552, 0.2176, ..., -0.1232, 0.0287, 0.0194]
INFO:root:[1][2055/2187] Loss_D: 0.5168 Loss_G: 2.4683 R1: 0.0520 R2: 0.0501 w_avg: [ 0.2131, 0.2554, 0.2177, ..., -0.1234, 0.0289, 0.0194]
INFO:root:[1][2056/2187] Loss_D: 0.4368 Loss_G: 2.0634 R1: 0.0502 R2: 0.0507 w_avg: [ 0.2131, 0.2551, 0.2174, ..., -0.1234, 0.0291, 0.0196]
INFO:root:[1][2057/2187] Loss_D: 0.3768 Loss_G: 2.1775 R1: 0.0474 R2: 0.0337 w_avg: [ 0.2140, 0.2555, 0.2175, ..., -0.1235, 0.0291, 0.0193]
INFO:root:[1][2058/2187] Loss_D: 0.5595 Loss_G: 2.2983 R1: 0.0441 R2: 0.0436 w_avg: [ 0.2138, 0.2560, 0.2176, ..., -0.1236, 0.0289, 0.0191]
INFO:root:[1][2059/2187] Loss_D: 0.4396 Loss_G: 2.0883 R1: 0.0454 R2: 0.0380 w_avg: [ 0.2137, 0.2562, 0.2180, ..., -0.1236, 0.0289, 0.0195]
INFO:root:[1][2060/2187] Loss_D: 0.4867 Loss_G: 2.7072 R1: 0.0460 R2: 0.0431 w_avg: [ 0.2136, 0.2569, 0.2185, ..., -0.1234, 0.0288, 0.0194]
INFO:root:[1][2061/2187] Loss_D: 0.2507 Loss_G: 1.9868 R1: 0.0390 R2: 0.0414 w_avg: [ 0.2135, 0.2567, 0.2186, ..., -0.1233, 0.0288, 0.0197]
INFO:root:[1][2062/2187] Loss_D: 0.5189 Loss_G: 2.2368 R1: 0.0464 R2: 0.0412 w_avg: [ 0.2135, 0.2565, 0.2183, ..., -0.1233, 0.0289, 0.0196]
INFO:root:[1][2063/2187] Loss_D: 0.3230 Loss_G: 2.3429 R1: 0.0428 R2: 0.0436 w_avg: [ 0.2133, 0.2563, 0.2181, ..., -0.1233, 0.0289, 0.0198]
INFO:root:[1][2064/2187] Loss_D: 0.2312 Loss_G: 2.4198 R1: 0.0439 R2: 0.0435 w_avg: [ 0.2131, 0.2559, 0.2180, ..., -0.1235, 0.0297, 0.0194]
INFO:root:[1][2065/2187] Loss_D: 0.3474 Loss_G: 2.1612 R1: 0.0407 R2: 0.0422 w_avg: [ 0.2135, 0.2561, 0.2182, ..., -0.1235, 0.0296, 0.0192]
INFO:root:[1][2066/2187] Loss_D: 0.3920 Loss_G: 1.7487 R1: 0.0434 R2: 0.0459 w_avg: [ 0.2138, 0.2565, 0.2177, ..., -0.1235, 0.0292, 0.0192]
INFO:root:[1][2067/2187] Loss_D: 0.2510 Loss_G: 2.5204 R1: 0.0447 R2: 0.0332 w_avg: [ 0.2142, 0.2563, 0.2180, ..., -0.1235, 0.0293, 0.0194]
INFO:root:[1][2068/2187] Loss_D: 0.2587 Loss_G: 2.2223 R1: 0.0497 R2: 0.0269 w_avg: [ 0.2147, 0.2565, 0.2178, ..., -0.1234, 0.0295, 0.0198]
INFO:root:[1][2069/2187] Loss_D: 0.3864 Loss_G: 1.9670 R1: 0.0511 R2: 0.0480 w_avg: [ 0.2147, 0.2568, 0.2180, ..., -0.1235, 0.0295, 0.0195]
INFO:root:[1][2070/2187] Loss_D: 0.2161 Loss_G: 2.0561 R1: 0.0507 R2: 0.0353 w_avg: [ 0.2145, 0.2566, 0.2181, ..., -0.1235, 0.0293, 0.0195]
INFO:root:[1][2071/2187] Loss_D: 0.2894 Loss_G: 2.1412 R1: 0.0445 R2: 0.0323 w_avg: [ 0.2141, 0.2562, 0.2180, ..., -0.1236, 0.0296, 0.0192]
INFO:root:[1][2072/2187] Loss_D: 0.3427 Loss_G: 2.2884 R1: 0.0432 R2: 0.0361 w_avg: [ 0.2138, 0.2566, 0.2179, ..., -0.1235, 0.0294, 0.0194]
INFO:root:[1][2073/2187] Loss_D: 0.2936 Loss_G: 2.0629 R1: 0.0462 R2: 0.0309 w_avg: [ 0.2138, 0.2566, 0.2175, ..., -0.1234, 0.0293, 0.0195]
INFO:root:[1][2074/2187] Loss_D: 0.3493 Loss_G: 2.1640 R1: 0.0422 R2: 0.0340 w_avg: [ 0.2135, 0.2570, 0.2178, ..., -0.1235, 0.0293, 0.0196]
INFO:root:[1][2075/2187] Loss_D: 0.2846 Loss_G: 2.2779 R1: 0.0405 R2: 0.0344 w_avg: [ 0.2135, 0.2570, 0.2174, ..., -0.1236, 0.0294, 0.0194]
INFO:root:[1][2076/2187] Loss_D: 0.3559 Loss_G: 2.5620 R1: 0.0444 R2: 0.0373 w_avg: [ 0.2133, 0.2569, 0.2173, ..., -0.1237, 0.0293, 0.0192]
INFO:root:[1][2077/2187] Loss_D: 0.2214 Loss_G: 2.0453 R1: 0.0455 R2: 0.0395 w_avg: [ 0.2134, 0.2572, 0.2172, ..., -0.1239, 0.0292, 0.0191]
INFO:root:[1][2078/2187] Loss_D: 0.3135 Loss_G: 2.8436 R1: 0.0450 R2: 0.0388 w_avg: [ 0.2136, 0.2571, 0.2173, ..., -0.1237, 0.0292, 0.0193]
INFO:root:[1][2079/2187] Loss_D: 0.3161 Loss_G: 2.3249 R1: 0.0460 R2: 0.0379 w_avg: [ 0.2138, 0.2571, 0.2173, ..., -0.1237, 0.0288, 0.0192]
INFO:root:[1][2080/2187] Loss_D: 0.2838 Loss_G: 2.5271 R1: 0.0443 R2: 0.0374 w_avg: [ 0.2137, 0.2574, 0.2173, ..., -0.1236, 0.0286, 0.0195]
INFO:root:[1][2081/2187] Loss_D: 0.2711 Loss_G: 2.2185 R1: 0.0374 R2: 0.0362 w_avg: [ 0.2135, 0.2576, 0.2171, ..., -0.1237, 0.0284, 0.0195]
INFO:root:[1][2082/2187] Loss_D: 0.2815 Loss_G: 2.1088 R1: 0.0362 R2: 0.0419 w_avg: [ 0.2141, 0.2574, 0.2172, ..., -0.1238, 0.0284, 0.0194]
INFO:root:[1][2083/2187] Loss_D: 0.3150 Loss_G: 2.4853 R1: 0.0341 R2: 0.0410 w_avg: [ 0.2144, 0.2571, 0.2172, ..., -0.1239, 0.0285, 0.0192]
INFO:root:[1][2084/2187] Loss_D: 0.4020 Loss_G: 3.1961 R1: 0.0392 R2: 0.0355 w_avg: [ 0.2147, 0.2571, 0.2171, ..., -0.1237, 0.0284, 0.0190]
INFO:root:[1][2085/2187] Loss_D: 0.2706 Loss_G: 2.6296 R1: 0.0406 R2: 0.0377 w_avg: [ 0.2146, 0.2573, 0.2168, ..., -0.1235, 0.0282, 0.0188]
INFO:root:[1][2086/2187] Loss_D: 0.2751 Loss_G: 2.4183 R1: 0.0439 R2: 0.0382 w_avg: [ 0.2146, 0.2577, 0.2168, ..., -0.1237, 0.0279, 0.0188]
INFO:root:[1][2087/2187] Loss_D: 0.3564 Loss_G: 2.0398 R1: 0.0381 R2: 0.0510 w_avg: [ 0.2146, 0.2578, 0.2166, ..., -0.1236, 0.0279, 0.0190]
INFO:root:[1][2088/2187] Loss_D: 0.3348 Loss_G: 2.2498 R1: 0.0449 R2: 0.0355 w_avg: [ 0.2141, 0.2577, 0.2163, ..., -0.1237, 0.0277, 0.0191]
INFO:root:[1][2089/2187] Loss_D: 0.3054 Loss_G: 1.9624 R1: 0.0399 R2: 0.0460 w_avg: [ 0.2139, 0.2580, 0.2164, ..., -0.1236, 0.0275, 0.0192]
INFO:root:[1][2090/2187] Loss_D: 0.2042 Loss_G: 1.7987 R1: 0.0348 R2: 0.0406 w_avg: [ 0.2134, 0.2581, 0.2161, ..., -0.1234, 0.0273, 0.0191]
INFO:root:[1][2091/2187] Loss_D: 0.3202 Loss_G: 2.2078 R1: 0.0393 R2: 0.0421 w_avg: [ 0.2133, 0.2582, 0.2159, ..., -0.1236, 0.0275, 0.0191]
INFO:root:[1][2092/2187] Loss_D: 0.4443 Loss_G: 2.5760 R1: 0.0333 R2: 0.0372 w_avg: [ 0.2135, 0.2587, 0.2158, ..., -0.1234, 0.0276, 0.0191]
INFO:root:[1][2093/2187] Loss_D: 0.3891 Loss_G: 2.6629 R1: 0.0351 R2: 0.0325 w_avg: [ 0.2137, 0.2585, 0.2157, ..., -0.1231, 0.0277, 0.0194]
INFO:root:[1][2094/2187] Loss_D: 0.3821 Loss_G: 2.5908 R1: 0.0428 R2: 0.0490 w_avg: [ 0.2136, 0.2586, 0.2159, ..., -0.1232, 0.0275, 0.0193]
INFO:root:[1][2095/2187] Loss_D: 0.4247 Loss_G: 3.2593 R1: 0.0405 R2: 0.0368 w_avg: [ 0.2140, 0.2585, 0.2158, ..., -0.1232, 0.0274, 0.0195]
INFO:root:[1][2096/2187] Loss_D: 0.3513 Loss_G: 2.4700 R1: 0.0396 R2: 0.0367 w_avg: [ 0.2136, 0.2582, 0.2156, ..., -0.1232, 0.0276, 0.0193]
INFO:root:[1][2097/2187] Loss_D: 0.2695 Loss_G: 2.2443 R1: 0.0379 R2: 0.0419 w_avg: [ 0.2135, 0.2582, 0.2154, ..., -0.1234, 0.0274, 0.0191]
INFO:root:[1][2098/2187] Loss_D: 0.3548 Loss_G: 2.3718 R1: 0.0422 R2: 0.0437 w_avg: [ 0.2133, 0.2581, 0.2151, ..., -0.1234, 0.0274, 0.0194]
INFO:root:[1][2099/2187] Loss_D: 0.3815 Loss_G: 1.8846 R1: 0.0411 R2: 0.0385 w_avg: [ 0.2136, 0.2588, 0.2156, ..., -0.1236, 0.0275, 0.0194]
INFO:root:[1][2100/2187] Loss_D: 0.3414 Loss_G: 2.7200 R1: 0.0353 R2: 0.0426 w_avg: [ 0.2138, 0.2587, 0.2153, ..., -0.1237, 0.0275, 0.0195]
INFO:root:[1][2101/2187] Loss_D: 0.3216 Loss_G: 2.0807 R1: 0.0356 R2: 0.0393 w_avg: [ 0.2137, 0.2586, 0.2149, ..., -0.1238, 0.0276, 0.0192]
INFO:root:[1][2102/2187] Loss_D: 0.2401 Loss_G: 1.8545 R1: 0.0394 R2: 0.0421 w_avg: [ 0.2135, 0.2587, 0.2144, ..., -0.1239, 0.0276, 0.0193]
INFO:root:[1][2103/2187] Loss_D: 0.3740 Loss_G: 2.2366 R1: 0.0367 R2: 0.0411 w_avg: [ 0.2135, 0.2588, 0.2145, ..., -0.1239, 0.0277, 0.0189]
INFO:root:[1][2104/2187] Loss_D: 0.3155 Loss_G: 2.3183 R1: 0.0350 R2: 0.0454 w_avg: [ 0.2135, 0.2586, 0.2148, ..., -0.1239, 0.0277, 0.0189]
INFO:root:[1][2105/2187] Loss_D: 0.5666 Loss_G: 2.6341 R1: 0.0386 R2: 0.0494 w_avg: [ 0.2135, 0.2588, 0.2146, ..., -0.1239, 0.0277, 0.0188]
INFO:root:[1][2106/2187] Loss_D: 0.4123 Loss_G: 2.1127 R1: 0.0402 R2: 0.0367 w_avg: [ 0.2134, 0.2594, 0.2148, ..., -0.1237, 0.0277, 0.0189]
INFO:root:[1][2107/2187] Loss_D: 0.2649 Loss_G: 2.1800 R1: 0.0338 R2: 0.0291 w_avg: [ 0.2134, 0.2596, 0.2147, ..., -0.1237, 0.0277, 0.0188]
INFO:root:[1][2108/2187] Loss_D: 0.2392 Loss_G: 2.5909 R1: 0.0370 R2: 0.0288 w_avg: [ 0.2141, 0.2593, 0.2147, ..., -0.1237, 0.0275, 0.0189]
INFO:root:[1][2109/2187] Loss_D: 0.2945 Loss_G: 2.1968 R1: 0.0404 R2: 0.0330 w_avg: [ 0.2140, 0.2599, 0.2147, ..., -0.1238, 0.0275, 0.0191]
INFO:root:[1][2110/2187] Loss_D: 0.2838 Loss_G: 2.3648 R1: 0.0408 R2: 0.0344 w_avg: [ 0.2142, 0.2598, 0.2148, ..., -0.1238, 0.0275, 0.0193]
INFO:root:[1][2111/2187] Loss_D: 0.3120 Loss_G: 2.3467 R1: 0.0415 R2: 0.0330 w_avg: [ 0.2142, 0.2599, 0.2145, ..., -0.1240, 0.0277, 0.0192]
INFO:root:[1][2112/2187] Loss_D: 0.3143 Loss_G: 2.9329 R1: 0.0393 R2: 0.0341 w_avg: [ 0.2138, 0.2595, 0.2146, ..., -0.1235, 0.0276, 0.0190]
INFO:root:[1][2113/2187] Loss_D: 0.2431 Loss_G: 2.5171 R1: 0.0501 R2: 0.0321 w_avg: [ 0.2137, 0.2593, 0.2143, ..., -0.1234, 0.0275, 0.0196]
INFO:root:[1][2114/2187] Loss_D: 0.5195 Loss_G: 2.9251 R1: 0.0505 R2: 0.0328 w_avg: [ 0.2136, 0.2595, 0.2144, ..., -0.1236, 0.0279, 0.0193]
INFO:root:[1][2115/2187] Loss_D: 0.2441 Loss_G: 2.1324 R1: 0.0409 R2: 0.0395 w_avg: [ 0.2134, 0.2593, 0.2140, ..., -0.1237, 0.0284, 0.0190]
INFO:root:[1][2116/2187] Loss_D: 0.3352 Loss_G: 2.3050 R1: 0.0351 R2: 0.0471 w_avg: [ 0.2133, 0.2589, 0.2138, ..., -0.1238, 0.0284, 0.0195]
INFO:root:[1][2117/2187] Loss_D: 0.3488 Loss_G: 3.3858 R1: 0.0383 R2: 0.0427 w_avg: [ 0.2129, 0.2590, 0.2141, ..., -0.1236, 0.0285, 0.0194]
INFO:root:[1][2118/2187] Loss_D: 0.3987 Loss_G: 2.2145 R1: 0.0324 R2: 0.0370 w_avg: [ 0.2125, 0.2588, 0.2140, ..., -0.1236, 0.0289, 0.0196]
INFO:root:[1][2119/2187] Loss_D: 0.5232 Loss_G: 1.9515 R1: 0.0315 R2: 0.0410 w_avg: [ 0.2126, 0.2586, 0.2139, ..., -0.1237, 0.0290, 0.0197]
INFO:root:[1][2120/2187] Loss_D: 0.3020 Loss_G: 1.9137 R1: 0.0318 R2: 0.0337 w_avg: [ 0.2127, 0.2583, 0.2139, ..., -0.1238, 0.0290, 0.0199]
INFO:root:[1][2121/2187] Loss_D: 0.5969 Loss_G: 2.0816 R1: 0.0342 R2: 0.0378 w_avg: [ 0.2127, 0.2585, 0.2139, ..., -0.1239, 0.0290, 0.0200]
INFO:root:[1][2122/2187] Loss_D: 0.2868 Loss_G: 2.0684 R1: 0.0329 R2: 0.0275 w_avg: [ 0.2130, 0.2583, 0.2138, ..., -0.1238, 0.0291, 0.0200]
INFO:root:[1][2123/2187] Loss_D: 0.3696 Loss_G: 2.4808 R1: 0.0332 R2: 0.0313 w_avg: [ 0.2130, 0.2584, 0.2141, ..., -0.1238, 0.0290, 0.0199]
INFO:root:[1][2124/2187] Loss_D: 0.3560 Loss_G: 2.0596 R1: 0.0342 R2: 0.0323 w_avg: [ 0.2131, 0.2586, 0.2136, ..., -0.1237, 0.0288, 0.0200]
INFO:root:[1][2125/2187] Loss_D: 0.3624 Loss_G: 2.6345 R1: 0.0419 R2: 0.0318 w_avg: [ 0.2130, 0.2584, 0.2137, ..., -0.1238, 0.0289, 0.0201]
INFO:root:[1][2126/2187] Loss_D: 0.2217 Loss_G: 2.0690 R1: 0.0368 R2: 0.0305 w_avg: [ 0.2127, 0.2585, 0.2139, ..., -0.1240, 0.0287, 0.0200]
INFO:root:[1][2127/2187] Loss_D: 0.3377 Loss_G: 2.2073 R1: 0.0396 R2: 0.0294 w_avg: [ 0.2127, 0.2581, 0.2136, ..., -0.1241, 0.0286, 0.0202]
INFO:root:[1][2128/2187] Loss_D: 0.3614 Loss_G: 1.8679 R1: 0.0394 R2: 0.0346 w_avg: [ 0.2124, 0.2577, 0.2131, ..., -0.1243, 0.0283, 0.0202]
INFO:root:[1][2129/2187] Loss_D: 0.3400 Loss_G: 2.2755 R1: 0.0383 R2: 0.0345 w_avg: [ 0.2126, 0.2579, 0.2133, ..., -0.1241, 0.0283, 0.0200]
INFO:root:[1][2130/2187] Loss_D: 0.3226 Loss_G: 2.1430 R1: 0.0375 R2: 0.0378 w_avg: [ 0.2124, 0.2584, 0.2134, ..., -0.1242, 0.0279, 0.0201]
INFO:root:[1][2131/2187] Loss_D: 0.2635 Loss_G: 2.0989 R1: 0.0434 R2: 0.0354 w_avg: [ 0.2120, 0.2583, 0.2135, ..., -0.1243, 0.0277, 0.0199]
INFO:root:[1][2132/2187] Loss_D: 0.3808 Loss_G: 2.4142 R1: 0.0459 R2: 0.0419 w_avg: [ 0.2119, 0.2585, 0.2138, ..., -0.1245, 0.0280, 0.0199]
INFO:root:[1][2133/2187] Loss_D: 0.3903 Loss_G: 1.9910 R1: 0.0396 R2: 0.0355 w_avg: [ 0.2119, 0.2585, 0.2135, ..., -0.1244, 0.0280, 0.0197]
INFO:root:[1][2134/2187] Loss_D: 0.4588 Loss_G: 2.3850 R1: 0.0391 R2: 0.0305 w_avg: [ 0.2119, 0.2580, 0.2131, ..., -0.1245, 0.0278, 0.0199]
INFO:root:[1][2135/2187] Loss_D: 0.2922 Loss_G: 2.1523 R1: 0.0400 R2: 0.0267 w_avg: [ 0.2114, 0.2577, 0.2131, ..., -0.1245, 0.0279, 0.0199]
INFO:root:[1][2136/2187] Loss_D: 0.3017 Loss_G: 2.3944 R1: 0.0387 R2: 0.0273 w_avg: [ 0.2117, 0.2587, 0.2135, ..., -0.1244, 0.0278, 0.0200]
INFO:root:[1][2137/2187] Loss_D: 0.3478 Loss_G: 2.4340 R1: 0.0426 R2: 0.0316 w_avg: [ 0.2117, 0.2585, 0.2132, ..., -0.1243, 0.0277, 0.0204]
INFO:root:[1][2138/2187] Loss_D: 0.4398 Loss_G: 2.2627 R1: 0.0382 R2: 0.0389 w_avg: [ 0.2116, 0.2583, 0.2133, ..., -0.1245, 0.0281, 0.0204]
INFO:root:[1][2139/2187] Loss_D: 0.3149 Loss_G: 2.1741 R1: 0.0347 R2: 0.0350 w_avg: [ 0.2115, 0.2584, 0.2131, ..., -0.1244, 0.0279, 0.0206]
INFO:root:[1][2140/2187] Loss_D: 0.2877 Loss_G: 2.0063 R1: 0.0358 R2: 0.0363 w_avg: [ 0.2112, 0.2587, 0.2138, ..., -0.1244, 0.0279, 0.0209]
INFO:root:[1][2141/2187] Loss_D: 0.3990 Loss_G: 2.4247 R1: 0.0348 R2: 0.0351 w_avg: [ 0.2116, 0.2593, 0.2139, ..., -0.1243, 0.0278, 0.0207]
INFO:root:[1][2142/2187] Loss_D: 0.4226 Loss_G: 2.1785 R1: 0.0441 R2: 0.0448 w_avg: [ 0.2116, 0.2592, 0.2140, ..., -0.1244, 0.0276, 0.0206]
INFO:root:[1][2143/2187] Loss_D: 0.1809 Loss_G: 2.5614 R1: 0.0397 R2: 0.0381 w_avg: [ 0.2112, 0.2595, 0.2141, ..., -0.1244, 0.0280, 0.0203]
INFO:root:[1][2144/2187] Loss_D: 0.2636 Loss_G: 2.2964 R1: 0.0402 R2: 0.0405 w_avg: [ 0.2112, 0.2594, 0.2139, ..., -0.1243, 0.0279, 0.0203]
INFO:root:[1][2145/2187] Loss_D: 0.2723 Loss_G: 2.0504 R1: 0.0410 R2: 0.0433 w_avg: [ 0.2109, 0.2589, 0.2139, ..., -0.1242, 0.0280, 0.0203]
INFO:root:[1][2146/2187] Loss_D: 0.3128 Loss_G: 2.1571 R1: 0.0361 R2: 0.0432 w_avg: [ 0.2105, 0.2589, 0.2137, ..., -0.1242, 0.0280, 0.0204]
INFO:root:[1][2147/2187] Loss_D: 0.4862 Loss_G: 1.7888 R1: 0.0449 R2: 0.0388 w_avg: [ 0.2107, 0.2589, 0.2137, ..., -0.1240, 0.0279, 0.0202]
INFO:root:[1][2148/2187] Loss_D: 0.3019 Loss_G: 1.7420 R1: 0.0391 R2: 0.0372 w_avg: [ 0.2105, 0.2586, 0.2136, ..., -0.1242, 0.0280, 0.0202]
INFO:root:[1][2149/2187] Loss_D: 0.4216 Loss_G: 2.3198 R1: 0.0405 R2: 0.0453 w_avg: [ 0.2106, 0.2587, 0.2140, ..., -0.1244, 0.0282, 0.0201]
INFO:root:[1][2150/2187] Loss_D: 0.3963 Loss_G: 1.9942 R1: 0.0462 R2: 0.0372 w_avg: [ 0.2106, 0.2584, 0.2133, ..., -0.1244, 0.0283, 0.0200]
INFO:root:[1][2151/2187] Loss_D: 0.4353 Loss_G: 2.2257 R1: 0.0427 R2: 0.0427 w_avg: [ 0.2103, 0.2582, 0.2129, ..., -0.1244, 0.0282, 0.0198]
INFO:root:[1][2152/2187] Loss_D: 0.2603 Loss_G: 1.9173 R1: 0.0394 R2: 0.0411 w_avg: [ 0.2108, 0.2580, 0.2124, ..., -0.1243, 0.0284, 0.0196]
INFO:root:[1][2153/2187] Loss_D: 0.2941 Loss_G: 1.9876 R1: 0.0424 R2: 0.0427 w_avg: [ 0.2109, 0.2580, 0.2128, ..., -0.1243, 0.0286, 0.0196]
INFO:root:[1][2154/2187] Loss_D: 0.4012 Loss_G: 2.2058 R1: 0.0475 R2: 0.0383 w_avg: [ 0.2104, 0.2577, 0.2126, ..., -0.1242, 0.0288, 0.0197]
INFO:root:[1][2155/2187] Loss_D: 0.2745 Loss_G: 2.5605 R1: 0.0517 R2: 0.0440 w_avg: [ 0.2107, 0.2575, 0.2124, ..., -0.1243, 0.0288, 0.0196]
INFO:root:[1][2156/2187] Loss_D: 0.3251 Loss_G: 2.2556 R1: 0.0501 R2: 0.0428 w_avg: [ 0.2104, 0.2574, 0.2122, ..., -0.1244, 0.0290, 0.0195]
INFO:root:[1][2157/2187] Loss_D: 0.3372 Loss_G: 2.2654 R1: 0.0442 R2: 0.0438 w_avg: [ 0.2105, 0.2574, 0.2125, ..., -0.1244, 0.0290, 0.0194]
INFO:root:[1][2158/2187] Loss_D: 0.2861 Loss_G: 1.9975 R1: 0.0509 R2: 0.0292 w_avg: [ 0.2107, 0.2576, 0.2128, ..., -0.1243, 0.0290, 0.0192]
INFO:root:[1][2159/2187] Loss_D: 0.3671 Loss_G: 1.8004 R1: 0.0455 R2: 0.0419 w_avg: [ 0.2108, 0.2573, 0.2126, ..., -0.1244, 0.0290, 0.0191]
INFO:root:[1][2160/2187] Loss_D: 0.4082 Loss_G: 2.4473 R1: 0.0490 R2: 0.0413 w_avg: [ 0.2108, 0.2572, 0.2125, ..., -0.1244, 0.0289, 0.0194]
INFO:root:[1][2161/2187] Loss_D: 0.3518 Loss_G: 2.3097 R1: 0.0455 R2: 0.0425 w_avg: [ 0.2108, 0.2570, 0.2128, ..., -0.1245, 0.0292, 0.0193]
INFO:root:[1][2162/2187] Loss_D: 0.2704 Loss_G: 2.4440 R1: 0.0493 R2: 0.0388 w_avg: [ 0.2107, 0.2569, 0.2125, ..., -0.1244, 0.0292, 0.0190]
INFO:root:[1][2163/2187] Loss_D: 0.3461 Loss_G: 2.3419 R1: 0.0463 R2: 0.0392 w_avg: [ 0.2110, 0.2570, 0.2126, ..., -0.1244, 0.0288, 0.0190]
INFO:root:[1][2164/2187] Loss_D: 0.4889 Loss_G: 2.7104 R1: 0.0487 R2: 0.0397 w_avg: [ 0.2112, 0.2572, 0.2126, ..., -0.1245, 0.0288, 0.0190]
INFO:root:[1][2165/2187] Loss_D: 0.2889 Loss_G: 2.1773 R1: 0.0495 R2: 0.0336 w_avg: [ 0.2111, 0.2570, 0.2126, ..., -0.1247, 0.0289, 0.0192]
INFO:root:[1][2166/2187] Loss_D: 0.3416 Loss_G: 2.7133 R1: 0.0548 R2: 0.0422 w_avg: [ 0.2111, 0.2568, 0.2123, ..., -0.1246, 0.0288, 0.0193]
INFO:root:[1][2167/2187] Loss_D: 0.2816 Loss_G: 2.1323 R1: 0.0551 R2: 0.0406 w_avg: [ 0.2115, 0.2565, 0.2120, ..., -0.1247, 0.0289, 0.0193]
INFO:root:[1][2168/2187] Loss_D: 0.7845 Loss_G: 2.9815 R1: 0.0500 R2: 0.0429 w_avg: [ 0.2122, 0.2563, 0.2118, ..., -0.1245, 0.0296, 0.0193]
INFO:root:[1][2169/2187] Loss_D: 0.4262 Loss_G: 3.0378 R1: 0.0520 R2: 0.0521 w_avg: [ 0.2120, 0.2562, 0.2116, ..., -0.1244, 0.0299, 0.0194]
INFO:root:[1][2170/2187] Loss_D: 0.2841 Loss_G: 2.3152 R1: 0.0461 R2: 0.0436 w_avg: [ 0.2117, 0.2563, 0.2116, ..., -0.1243, 0.0298, 0.0196]
INFO:root:[1][2171/2187] Loss_D: 0.4299 Loss_G: 1.8893 R1: 0.0528 R2: 0.0498 w_avg: [ 0.2115, 0.2564, 0.2116, ..., -0.1244, 0.0300, 0.0194]
INFO:root:[1][2172/2187] Loss_D: 0.5184 Loss_G: 2.0104 R1: 0.0511 R2: 0.0477 w_avg: [ 0.2116, 0.2566, 0.2120, ..., -0.1243, 0.0302, 0.0194]
INFO:root:[1][2173/2187] Loss_D: 0.4382 Loss_G: 2.5644 R1: 0.0480 R2: 0.0472 w_avg: [ 0.2113, 0.2564, 0.2119, ..., -0.1244, 0.0303, 0.0196]
INFO:root:[1][2174/2187] Loss_D: 0.2835 Loss_G: 2.3321 R1: 0.0490 R2: 0.0387 w_avg: [ 0.2115, 0.2567, 0.2117, ..., -0.1245, 0.0302, 0.0197]
INFO:root:[1][2175/2187] Loss_D: 0.3971 Loss_G: 2.4938 R1: 0.0507 R2: 0.0506 w_avg: [ 0.2113, 0.2568, 0.2117, ..., -0.1246, 0.0302, 0.0197]
INFO:root:[1][2176/2187] Loss_D: 0.2567 Loss_G: 2.8107 R1: 0.0454 R2: 0.0413 w_avg: [ 0.2109, 0.2570, 0.2116, ..., -0.1246, 0.0300, 0.0197]
INFO:root:[1][2177/2187] Loss_D: 0.4599 Loss_G: 2.1245 R1: 0.0464 R2: 0.0468 w_avg: [ 0.2112, 0.2570, 0.2116, ..., -0.1246, 0.0298, 0.0198]
INFO:root:[1][2178/2187] Loss_D: 0.2519 Loss_G: 2.1808 R1: 0.0476 R2: 0.0450 w_avg: [ 0.2115, 0.2567, 0.2114, ..., -0.1248, 0.0297, 0.0201]
INFO:root:[1][2179/2187] Loss_D: 0.3310 Loss_G: 2.3729 R1: 0.0501 R2: 0.0468 w_avg: [ 0.2113, 0.2571, 0.2116, ..., -0.1248, 0.0298, 0.0201]
INFO:root:[1][2180/2187] Loss_D: 0.3857 Loss_G: 2.8063 R1: 0.0553 R2: 0.0405 w_avg: [ 0.2116, 0.2575, 0.2120, ..., -0.1249, 0.0298, 0.0200]
INFO:root:[1][2181/2187] Loss_D: 0.3568 Loss_G: 2.7173 R1: 0.0508 R2: 0.0334 w_avg: [ 0.2114, 0.2576, 0.2120, ..., -0.1250, 0.0299, 0.0200]
INFO:root:[1][2182/2187] Loss_D: 0.2248 Loss_G: 2.2315 R1: 0.0430 R2: 0.0343 w_avg: [ 0.2117, 0.2578, 0.2122, ..., -0.1250, 0.0300, 0.0199]
INFO:root:[1][2183/2187] Loss_D: 0.5344 Loss_G: 2.1484 R1: 0.0505 R2: 0.0583 w_avg: [ 0.2117, 0.2581, 0.2119, ..., -0.1251, 0.0303, 0.0199]
INFO:root:[1][2184/2187] Loss_D: 0.3783 Loss_G: 2.6625 R1: 0.0481 R2: 0.0334 w_avg: [ 0.2116, 0.2583, 0.2120, ..., -0.1252, 0.0302, 0.0199]
INFO:root:[1][2185/2187] Loss_D: 0.2788 Loss_G: 2.4305 R1: 0.0507 R2: 0.0424 w_avg: [ 0.2120, 0.2583, 0.2120, ..., -0.1249, 0.0305, 0.0197]
INFO:root:[1][2186/2187] Loss_D: 0.3523 Loss_G: 2.9666 R1: 0.0446 R2: 0.0428 w_avg: [ 0.2120, 0.2582, 0.2117, ..., -0.1250, 0.0304, 0.0194]
INFO:root:[2][0/2187] Loss_D: 0.3683 Loss_G: 2.1783 R1: 0.0456 R2: 0.0476 w_avg: [ 0.2116, 0.2584, 0.2120, ..., -0.1250, 0.0305, 0.0193]
INFO:root:[2][1/2187] Loss_D: 0.3187 Loss_G: 2.2135 R1: 0.0380 R2: 0.0402 w_avg: [ 0.2118, 0.2590, 0.2120, ..., -0.1250, 0.0305, 0.0193]
INFO:root:[2][2/2187] Loss_D: 0.3589 Loss_G: 2.0548 R1: 0.0426 R2: 0.0449 w_avg: [ 0.2117, 0.2591, 0.2120, ..., -0.1250, 0.0307, 0.0194]
INFO:root:[2][3/2187] Loss_D: 0.4333 Loss_G: 2.3830 R1: 0.0449 R2: 0.0443 w_avg: [ 0.2115, 0.2590, 0.2118, ..., -0.1251, 0.0310, 0.0192]
INFO:root:[2][4/2187] Loss_D: 0.1994 Loss_G: 2.9150 R1: 0.0330 R2: 0.0351 w_avg: [ 0.2117, 0.2594, 0.2122, ..., -0.1251, 0.0312, 0.0189]
INFO:root:[2][5/2187] Loss_D: 0.5723 Loss_G: 2.7067 R1: 0.0410 R2: 0.0477 w_avg: [ 0.2117, 0.2593, 0.2119, ..., -0.1251, 0.0312, 0.0188]
INFO:root:[2][6/2187] Loss_D: 0.2720 Loss_G: 2.6082 R1: 0.0404 R2: 0.0458 w_avg: [ 0.2115, 0.2596, 0.2118, ..., -0.1252, 0.0313, 0.0191]
INFO:root:[2][7/2187] Loss_D: 0.3031 Loss_G: 2.3828 R1: 0.0397 R2: 0.0414 w_avg: [ 0.2116, 0.2595, 0.2118, ..., -0.1253, 0.0316, 0.0192]
INFO:root:[2][8/2187] Loss_D: 0.4607 Loss_G: 2.6199 R1: 0.0492 R2: 0.0399 w_avg: [ 0.2114, 0.2597, 0.2119, ..., -0.1254, 0.0314, 0.0189]
INFO:root:[2][9/2187] Loss_D: 0.2789 Loss_G: 2.0960 R1: 0.0410 R2: 0.0298 w_avg: [ 0.2115, 0.2593, 0.2116, ..., -0.1255, 0.0316, 0.0191]
INFO:root:[2][10/2187] Loss_D: 0.2923 Loss_G: 2.5752 R1: 0.0479 R2: 0.0351 w_avg: [ 0.2112, 0.2592, 0.2118, ..., -0.1256, 0.0316, 0.0190]
INFO:root:[2][11/2187] Loss_D: 0.3743 Loss_G: 2.9252 R1: 0.0442 R2: 0.0480 w_avg: [ 0.2107, 0.2590, 0.2112, ..., -0.1255, 0.0320, 0.0191]
INFO:root:[2][12/2187] Loss_D: 0.2459 Loss_G: 2.1565 R1: 0.0432 R2: 0.0447 w_avg: [ 0.2106, 0.2590, 0.2114, ..., -0.1255, 0.0320, 0.0192]
INFO:root:[2][13/2187] Loss_D: 0.3305 Loss_G: 2.6465 R1: 0.0440 R2: 0.0417 w_avg: [ 0.2104, 0.2590, 0.2119, ..., -0.1256, 0.0320, 0.0189]
INFO:root:[2][14/2187] Loss_D: 0.3484 Loss_G: 2.5741 R1: 0.0457 R2: 0.0329 w_avg: [ 0.2102, 0.2591, 0.2116, ..., -0.1255, 0.0319, 0.0188]
INFO:root:[2][15/2187] Loss_D: 0.2415 Loss_G: 2.9396 R1: 0.0398 R2: 0.0385 w_avg: [ 0.2099, 0.2594, 0.2111, ..., -0.1256, 0.0319, 0.0189]
INFO:root:[2][16/2187] Loss_D: 0.2069 Loss_G: 2.3914 R1: 0.0425 R2: 0.0427 w_avg: [ 0.2099, 0.2592, 0.2111, ..., -0.1255, 0.0322, 0.0189]
INFO:root:[2][17/2187] Loss_D: 0.2345 Loss_G: 2.9385 R1: 0.0445 R2: 0.0373 w_avg: [ 0.2101, 0.2593, 0.2111, ..., -0.1256, 0.0322, 0.0187]
INFO:root:[2][18/2187] Loss_D: 0.2753 Loss_G: 2.6939 R1: 0.0435 R2: 0.0409 w_avg: [ 0.2104, 0.2597, 0.2111, ..., -0.1255, 0.0320, 0.0189]
INFO:root:[2][19/2187] Loss_D: 0.2561 Loss_G: 2.6893 R1: 0.0513 R2: 0.0460 w_avg: [ 0.2105, 0.2598, 0.2107, ..., -0.1255, 0.0320, 0.0188]
INFO:root:[2][20/2187] Loss_D: 0.2687 Loss_G: 2.3774 R1: 0.0467 R2: 0.0343 w_avg: [ 0.2104, 0.2599, 0.2112, ..., -0.1256, 0.0321, 0.0187]
INFO:root:[2][21/2187] Loss_D: 0.2235 Loss_G: 2.3838 R1: 0.0427 R2: 0.0393 w_avg: [ 0.2113, 0.2600, 0.2112, ..., -0.1257, 0.0321, 0.0186]
INFO:root:[2][22/2187] Loss_D: 0.2222 Loss_G: 2.0253 R1: 0.0421 R2: 0.0408 w_avg: [ 0.2115, 0.2601, 0.2110, ..., -0.1257, 0.0322, 0.0189]
INFO:root:[2][23/2187] Loss_D: 0.3114 Loss_G: 2.1764 R1: 0.0516 R2: 0.0385 w_avg: [ 0.2111, 0.2605, 0.2112, ..., -0.1256, 0.0319, 0.0190]
INFO:root:[2][24/2187] Loss_D: 0.2984 Loss_G: 2.3745 R1: 0.0375 R2: 0.0382 w_avg: [ 0.2110, 0.2602, 0.2112, ..., -0.1257, 0.0320, 0.0188]
INFO:root:[2][25/2187] Loss_D: 0.3627 Loss_G: 2.5604 R1: 0.0424 R2: 0.0441 w_avg: [ 0.2108, 0.2599, 0.2108, ..., -0.1258, 0.0320, 0.0185]
INFO:root:[2][26/2187] Loss_D: 0.3073 Loss_G: 3.1805 R1: 0.0506 R2: 0.0352 w_avg: [ 0.2105, 0.2600, 0.2104, ..., -0.1258, 0.0320, 0.0185]
INFO:root:[2][27/2187] Loss_D: 0.2634 Loss_G: 2.4100 R1: 0.0401 R2: 0.0448 w_avg: [ 0.2104, 0.2600, 0.2107, ..., -0.1260, 0.0319, 0.0183]
INFO:root:[2][28/2187] Loss_D: 0.4350 Loss_G: 2.9921 R1: 0.0471 R2: 0.0435 w_avg: [ 0.2104, 0.2599, 0.2109, ..., -0.1260, 0.0320, 0.0182]
INFO:root:[2][29/2187] Loss_D: 0.3324 Loss_G: 2.9612 R1: 0.0465 R2: 0.0417 w_avg: [ 0.2105, 0.2599, 0.2111, ..., -0.1260, 0.0322, 0.0182]
INFO:root:[2][30/2187] Loss_D: 0.1727 Loss_G: 2.4876 R1: 0.0464 R2: 0.0339 w_avg: [ 0.2104, 0.2599, 0.2113, ..., -0.1261, 0.0327, 0.0180]
INFO:root:[2][31/2187] Loss_D: 0.4176 Loss_G: 2.4362 R1: 0.0480 R2: 0.0598 w_avg: [ 0.2104, 0.2596, 0.2110, ..., -0.1262, 0.0331, 0.0178]
INFO:root:[2][32/2187] Loss_D: 0.2227 Loss_G: 2.7251 R1: 0.0466 R2: 0.0415 w_avg: [ 0.2103, 0.2596, 0.2106, ..., -0.1262, 0.0330, 0.0179]
INFO:root:[2][33/2187] Loss_D: 0.3013 Loss_G: 2.4812 R1: 0.0413 R2: 0.0429 w_avg: [ 0.2106, 0.2601, 0.2107, ..., -0.1261, 0.0332, 0.0184]
INFO:root:[2][34/2187] Loss_D: 0.4385 Loss_G: 2.6004 R1: 0.0428 R2: 0.0383 w_avg: [ 0.2106, 0.2599, 0.2106, ..., -0.1261, 0.0331, 0.0183]
INFO:root:[2][35/2187] Loss_D: 0.3093 Loss_G: 1.6645 R1: 0.0412 R2: 0.0385 w_avg: [ 0.2102, 0.2597, 0.2109, ..., -0.1260, 0.0327, 0.0185]
INFO:root:[2][36/2187] Loss_D: 0.3841 Loss_G: 2.1926 R1: 0.0425 R2: 0.0324 w_avg: [ 0.2099, 0.2598, 0.2112, ..., -0.1259, 0.0323, 0.0186]
INFO:root:[2][37/2187] Loss_D: 0.2855 Loss_G: 2.4891 R1: 0.0489 R2: 0.0386 w_avg: [ 0.2104, 0.2599, 0.2113, ..., -0.1258, 0.0321, 0.0186]
INFO:root:[2][38/2187] Loss_D: 0.2782 Loss_G: 2.4858 R1: 0.0449 R2: 0.0325 w_avg: [ 0.2098, 0.2597, 0.2109, ..., -0.1258, 0.0322, 0.0187]
INFO:root:[2][39/2187] Loss_D: 0.1978 Loss_G: 2.8829 R1: 0.0449 R2: 0.0316 w_avg: [ 0.2097, 0.2600, 0.2108, ..., -0.1258, 0.0324, 0.0187]
INFO:root:[2][40/2187] Loss_D: 0.3487 Loss_G: 2.0354 R1: 0.0472 R2: 0.0345 w_avg: [ 0.2097, 0.2599, 0.2110, ..., -0.1258, 0.0322, 0.0186]
INFO:root:[2][41/2187] Loss_D: 0.2414 Loss_G: 1.7399 R1: 0.0405 R2: 0.0362 w_avg: [ 0.2098, 0.2598, 0.2122, ..., -0.1257, 0.0324, 0.0183]
INFO:root:[2][42/2187] Loss_D: 0.3814 Loss_G: 2.7106 R1: 0.0439 R2: 0.0385 w_avg: [ 0.2102, 0.2598, 0.2122, ..., -0.1258, 0.0324, 0.0186]
INFO:root:[2][43/2187] Loss_D: 0.5134 Loss_G: 2.9268 R1: 0.0402 R2: 0.0407 w_avg: [ 0.2099, 0.2596, 0.2120, ..., -0.1256, 0.0323, 0.0190]
INFO:root:[2][44/2187] Loss_D: 0.2643 Loss_G: 2.5517 R1: 0.0453 R2: 0.0413 w_avg: [ 0.2096, 0.2598, 0.2116, ..., -0.1257, 0.0320, 0.0189]
INFO:root:[2][45/2187] Loss_D: 0.3003 Loss_G: 2.1579 R1: 0.0405 R2: 0.0439 w_avg: [ 0.2093, 0.2595, 0.2116, ..., -0.1257, 0.0320, 0.0189]
INFO:root:[2][46/2187] Loss_D: 0.4315 Loss_G: 2.3522 R1: 0.0450 R2: 0.0422 w_avg: [ 0.2091, 0.2594, 0.2115, ..., -0.1257, 0.0319, 0.0187]
INFO:root:[2][47/2187] Loss_D: 0.4604 Loss_G: 2.4134 R1: 0.0403 R2: 0.0490 w_avg: [ 0.2087, 0.2593, 0.2110, ..., -0.1258, 0.0322, 0.0187]
INFO:root:[2][48/2187] Loss_D: 0.4459 Loss_G: 2.1722 R1: 0.0452 R2: 0.0407 w_avg: [ 0.2089, 0.2589, 0.2108, ..., -0.1258, 0.0325, 0.0186]
INFO:root:[2][49/2187] Loss_D: 0.3636 Loss_G: 2.3716 R1: 0.0387 R2: 0.0329 w_avg: [ 0.2091, 0.2588, 0.2106, ..., -0.1259, 0.0331, 0.0187]
INFO:root:[2][50/2187] Loss_D: 0.2908 Loss_G: 1.8548 R1: 0.0331 R2: 0.0393 w_avg: [ 0.2091, 0.2590, 0.2105, ..., -0.1258, 0.0329, 0.0189]
INFO:root:[2][51/2187] Loss_D: 0.4356 Loss_G: 1.5925 R1: 0.0339 R2: 0.0392 w_avg: [ 0.2088, 0.2587, 0.2102, ..., -0.1258, 0.0328, 0.0194]
INFO:root:[2][52/2187] Loss_D: 0.6186 Loss_G: 2.0631 R1: 0.0418 R2: 0.0483 w_avg: [ 0.2085, 0.2587, 0.2100, ..., -0.1258, 0.0329, 0.0194]
INFO:root:[2][53/2187] Loss_D: 0.3828 Loss_G: 2.3777 R1: 0.0350 R2: 0.0374 w_avg: [ 0.2081, 0.2584, 0.2097, ..., -0.1258, 0.0329, 0.0196]
INFO:root:[2][54/2187] Loss_D: 0.3175 Loss_G: 2.3548 R1: 0.0394 R2: 0.0312 w_avg: [ 0.2085, 0.2579, 0.2097, ..., -0.1258, 0.0329, 0.0194]
INFO:root:[2][55/2187] Loss_D: 0.2490 Loss_G: 2.0718 R1: 0.0392 R2: 0.0321 w_avg: [ 0.2081, 0.2578, 0.2098, ..., -0.1258, 0.0326, 0.0196]
INFO:root:[2][56/2187] Loss_D: 0.3760 Loss_G: 1.8961 R1: 0.0390 R2: 0.0313 w_avg: [ 0.2086, 0.2580, 0.2097, ..., -0.1260, 0.0327, 0.0197]
INFO:root:[2][57/2187] Loss_D: 0.2947 Loss_G: 2.1188 R1: 0.0370 R2: 0.0285 w_avg: [ 0.2089, 0.2580, 0.2099, ..., -0.1260, 0.0328, 0.0195]
INFO:root:[2][58/2187] Loss_D: 0.3437 Loss_G: 2.3642 R1: 0.0406 R2: 0.0255 w_avg: [ 0.2091, 0.2580, 0.2102, ..., -0.1258, 0.0326, 0.0196]
INFO:root:[2][59/2187] Loss_D: 0.3567 Loss_G: 2.3484 R1: 0.0441 R2: 0.0375 w_avg: [ 0.2092, 0.2580, 0.2098, ..., -0.1258, 0.0327, 0.0194]
INFO:root:[2][60/2187] Loss_D: 0.4563 Loss_G: 2.1647 R1: 0.0423 R2: 0.0386 w_avg: [ 0.2097, 0.2580, 0.2098, ..., -0.1260, 0.0329, 0.0192]
INFO:root:[2][61/2187] Loss_D: 0.3883 Loss_G: 2.2943 R1: 0.0425 R2: 0.0289 w_avg: [ 0.2101, 0.2580, 0.2098, ..., -0.1260, 0.0333, 0.0189]
INFO:root:[2][62/2187] Loss_D: 0.3244 Loss_G: 2.5339 R1: 0.0401 R2: 0.0385 w_avg: [ 0.2100, 0.2581, 0.2099, ..., -0.1257, 0.0331, 0.0187]
INFO:root:[2][63/2187] Loss_D: 0.2625 Loss_G: 2.6226 R1: 0.0431 R2: 0.0263 w_avg: [ 0.2100, 0.2581, 0.2095, ..., -0.1257, 0.0333, 0.0185]
INFO:root:[2][64/2187] Loss_D: 0.2368 Loss_G: 3.0033 R1: 0.0459 R2: 0.0298 w_avg: [ 0.2096, 0.2581, 0.2091, ..., -0.1258, 0.0333, 0.0185]
INFO:root:[2][65/2187] Loss_D: 0.2701 Loss_G: 2.6410 R1: 0.0436 R2: 0.0351 w_avg: [ 0.2094, 0.2579, 0.2088, ..., -0.1259, 0.0335, 0.0183]
INFO:root:[2][66/2187] Loss_D: 0.3062 Loss_G: 2.2483 R1: 0.0512 R2: 0.0357 w_avg: [ 0.2091, 0.2577, 0.2088, ..., -0.1260, 0.0335, 0.0183]
INFO:root:[2][67/2187] Loss_D: 0.3304 Loss_G: 2.4126 R1: 0.0466 R2: 0.0420 w_avg: [ 0.2092, 0.2576, 0.2085, ..., -0.1258, 0.0337, 0.0184]
INFO:root:[2][68/2187] Loss_D: 0.2257 Loss_G: 2.5844 R1: 0.0459 R2: 0.0386 w_avg: [ 0.2089, 0.2578, 0.2089, ..., -0.1258, 0.0337, 0.0183]
INFO:root:[2][69/2187] Loss_D: 0.2542 Loss_G: 2.4831 R1: 0.0483 R2: 0.0375 w_avg: [ 0.2086, 0.2581, 0.2090, ..., -0.1257, 0.0336, 0.0182]
INFO:root:[2][70/2187] Loss_D: 0.2227 Loss_G: 1.9926 R1: 0.0403 R2: 0.0420 w_avg: [ 0.2087, 0.2579, 0.2092, ..., -0.1257, 0.0341, 0.0178]
INFO:root:[2][71/2187] Loss_D: 0.3612 Loss_G: 2.3188 R1: 0.0410 R2: 0.0556 w_avg: [ 0.2086, 0.2578, 0.2094, ..., -0.1258, 0.0343, 0.0176]
INFO:root:[2][72/2187] Loss_D: 0.3975 Loss_G: 2.8820 R1: 0.0510 R2: 0.0431 w_avg: [ 0.2089, 0.2577, 0.2093, ..., -0.1257, 0.0345, 0.0176]
INFO:root:[2][73/2187] Loss_D: 0.2971 Loss_G: 2.4858 R1: 0.0471 R2: 0.0479 w_avg: [ 0.2087, 0.2577, 0.2093, ..., -0.1257, 0.0346, 0.0176]
INFO:root:[2][74/2187] Loss_D: 0.2780 Loss_G: 2.4376 R1: 0.0462 R2: 0.0503 w_avg: [ 0.2084, 0.2572, 0.2093, ..., -0.1256, 0.0349, 0.0173]
INFO:root:[2][75/2187] Loss_D: 0.2691 Loss_G: 2.7529 R1: 0.0448 R2: 0.0373 w_avg: [ 0.2084, 0.2575, 0.2091, ..., -0.1257, 0.0347, 0.0171]
INFO:root:[2][76/2187] Loss_D: 0.2127 Loss_G: 2.7294 R1: 0.0424 R2: 0.0294 w_avg: [ 0.2083, 0.2579, 0.2086, ..., -0.1256, 0.0343, 0.0170]
INFO:root:[2][77/2187] Loss_D: 0.4281 Loss_G: 2.6654 R1: 0.0509 R2: 0.0436 w_avg: [ 0.2082, 0.2577, 0.2092, ..., -0.1254, 0.0342, 0.0168]
INFO:root:[2][78/2187] Loss_D: 0.2961 Loss_G: 2.5089 R1: 0.0581 R2: 0.0514 w_avg: [ 0.2081, 0.2573, 0.2088, ..., -0.1253, 0.0342, 0.0166]
INFO:root:[2][79/2187] Loss_D: 0.3777 Loss_G: 1.7276 R1: 0.0497 R2: 0.0522 w_avg: [ 0.2079, 0.2567, 0.2088, ..., -0.1252, 0.0342, 0.0166]
INFO:root:[2][80/2187] Loss_D: 0.2268 Loss_G: 2.3294 R1: 0.0404 R2: 0.0495 w_avg: [ 0.2075, 0.2565, 0.2089, ..., -0.1251, 0.0347, 0.0169]
INFO:root:[2][81/2187] Loss_D: 0.4574 Loss_G: 2.7655 R1: 0.0436 R2: 0.0483 w_avg: [ 0.2073, 0.2565, 0.2090, ..., -0.1252, 0.0350, 0.0169]
INFO:root:[2][82/2187] Loss_D: 0.2385 Loss_G: 2.3112 R1: 0.0376 R2: 0.0524 w_avg: [ 0.2072, 0.2567, 0.2089, ..., -0.1253, 0.0348, 0.0168]
INFO:root:[2][83/2187] Loss_D: 0.2478 Loss_G: 2.9347 R1: 0.0396 R2: 0.0439 w_avg: [ 0.2072, 0.2563, 0.2087, ..., -0.1254, 0.0349, 0.0170]
INFO:root:[2][84/2187] Loss_D: 0.3036 Loss_G: 2.2951 R1: 0.0452 R2: 0.0415 w_avg: [ 0.2070, 0.2564, 0.2087, ..., -0.1255, 0.0348, 0.0172]
INFO:root:[2][85/2187] Loss_D: 0.3119 Loss_G: 2.6716 R1: 0.0479 R2: 0.0344 w_avg: [ 0.2071, 0.2564, 0.2085, ..., -0.1256, 0.0346, 0.0171]
INFO:root:[2][86/2187] Loss_D: 0.3012 Loss_G: 2.5046 R1: 0.0390 R2: 0.0324 w_avg: [ 0.2072, 0.2562, 0.2090, ..., -0.1258, 0.0345, 0.0167]
INFO:root:[2][87/2187] Loss_D: 0.2902 Loss_G: 1.9879 R1: 0.0415 R2: 0.0372 w_avg: [ 0.2070, 0.2560, 0.2096, ..., -0.1259, 0.0346, 0.0166]
INFO:root:[2][88/2187] Loss_D: 0.2517 Loss_G: 2.4842 R1: 0.0483 R2: 0.0449 w_avg: [ 0.2069, 0.2562, 0.2098, ..., -0.1260, 0.0346, 0.0168]
INFO:root:[2][89/2187] Loss_D: 0.4735 Loss_G: 2.6770 R1: 0.0462 R2: 0.0406 w_avg: [ 0.2065, 0.2563, 0.2095, ..., -0.1260, 0.0350, 0.0171]
INFO:root:[2][90/2187] Loss_D: 0.2804 Loss_G: 1.9124 R1: 0.0439 R2: 0.0310 w_avg: [ 0.2065, 0.2561, 0.2092, ..., -0.1258, 0.0351, 0.0170]
INFO:root:[2][91/2187] Loss_D: 0.2602 Loss_G: 2.1591 R1: 0.0441 R2: 0.0442 w_avg: [ 0.2065, 0.2566, 0.2097, ..., -0.1259, 0.0349, 0.0170]
INFO:root:[2][92/2187] Loss_D: 0.4297 Loss_G: 2.0415 R1: 0.0425 R2: 0.0349 w_avg: [ 0.2063, 0.2564, 0.2095, ..., -0.1257, 0.0351, 0.0171]
INFO:root:[2][93/2187] Loss_D: 0.3221 Loss_G: 2.5474 R1: 0.0523 R2: 0.0332 w_avg: [ 0.2066, 0.2567, 0.2095, ..., -0.1257, 0.0352, 0.0170]
INFO:root:[2][94/2187] Loss_D: 0.2642 Loss_G: 2.0003 R1: 0.0420 R2: 0.0361 w_avg: [ 0.2066, 0.2568, 0.2097, ..., -0.1257, 0.0352, 0.0168]
INFO:root:[2][95/2187] Loss_D: 0.4308 Loss_G: 2.3527 R1: 0.0445 R2: 0.0468 w_avg: [ 0.2064, 0.2569, 0.2101, ..., -0.1257, 0.0356, 0.0173]
INFO:root:[2][96/2187] Loss_D: 0.4469 Loss_G: 2.1132 R1: 0.0439 R2: 0.0364 w_avg: [ 0.2072, 0.2568, 0.2102, ..., -0.1257, 0.0362, 0.0172]
INFO:root:[2][97/2187] Loss_D: 0.2769 Loss_G: 2.1494 R1: 0.0392 R2: 0.0360 w_avg: [ 0.2071, 0.2566, 0.2100, ..., -0.1258, 0.0364, 0.0174]
INFO:root:[2][98/2187] Loss_D: 0.3662 Loss_G: 2.3233 R1: 0.0434 R2: 0.0401 w_avg: [ 0.2073, 0.2566, 0.2104, ..., -0.1259, 0.0366, 0.0173]
INFO:root:[2][99/2187] Loss_D: 0.3580 Loss_G: 2.4542 R1: 0.0430 R2: 0.0362 w_avg: [ 0.2074, 0.2566, 0.2103, ..., -0.1259, 0.0368, 0.0173]
INFO:root:[2][100/2187] Loss_D: 0.2276 Loss_G: 2.2641 R1: 0.0409 R2: 0.0325 w_avg: [ 0.2080, 0.2567, 0.2108, ..., -0.1260, 0.0368, 0.0175]
INFO:root:[2][101/2187] Loss_D: 0.3187 Loss_G: 2.1707 R1: 0.0445 R2: 0.0351 w_avg: [ 0.2076, 0.2565, 0.2105, ..., -0.1261, 0.0369, 0.0177]
INFO:root:[2][102/2187] Loss_D: 0.2367 Loss_G: 3.0180 R1: 0.0477 R2: 0.0400 w_avg: [ 0.2071, 0.2564, 0.2109, ..., -0.1262, 0.0369, 0.0175]
INFO:root:[2][103/2187] Loss_D: 0.2645 Loss_G: 2.6097 R1: 0.0462 R2: 0.0410 w_avg: [ 0.2069, 0.2565, 0.2108, ..., -0.1262, 0.0369, 0.0174]
INFO:root:[2][104/2187] Loss_D: 0.3818 Loss_G: 2.1648 R1: 0.0437 R2: 0.0460 w_avg: [ 0.2066, 0.2563, 0.2106, ..., -0.1262, 0.0367, 0.0174]
INFO:root:[2][105/2187] Loss_D: 0.3245 Loss_G: 2.3921 R1: 0.0470 R2: 0.0452 w_avg: [ 0.2071, 0.2565, 0.2108, ..., -0.1263, 0.0365, 0.0175]
INFO:root:[2][106/2187] Loss_D: 0.5586 Loss_G: 2.1657 R1: 0.0450 R2: 0.0519 w_avg: [ 0.2076, 0.2567, 0.2107, ..., -0.1262, 0.0368, 0.0174]
INFO:root:[2][107/2187] Loss_D: 0.4424 Loss_G: 2.2252 R1: 0.0404 R2: 0.0357 w_avg: [ 0.2075, 0.2564, 0.2106, ..., -0.1262, 0.0373, 0.0172]
INFO:root:[2][108/2187] Loss_D: 0.2810 Loss_G: 2.2543 R1: 0.0506 R2: 0.0435 w_avg: [ 0.2075, 0.2562, 0.2110, ..., -0.1261, 0.0374, 0.0173]
INFO:root:[2][109/2187] Loss_D: 0.4906 Loss_G: 2.1753 R1: 0.0422 R2: 0.0436 w_avg: [ 0.2074, 0.2560, 0.2109, ..., -0.1262, 0.0375, 0.0171]
INFO:root:[2][110/2187] Loss_D: 0.3722 Loss_G: 2.4237 R1: 0.0405 R2: 0.0359 w_avg: [ 0.2072, 0.2564, 0.2106, ..., -0.1264, 0.0373, 0.0170]
INFO:root:[2][111/2187] Loss_D: 0.3404 Loss_G: 2.4799 R1: 0.0426 R2: 0.0551 w_avg: [ 0.2067, 0.2565, 0.2103, ..., -0.1264, 0.0372, 0.0170]
INFO:root:[2][112/2187] Loss_D: 0.3707 Loss_G: 2.2551 R1: 0.0458 R2: 0.0438 w_avg: [ 0.2067, 0.2568, 0.2097, ..., -0.1264, 0.0375, 0.0175]
INFO:root:[2][113/2187] Loss_D: 0.2691 Loss_G: 2.1686 R1: 0.0363 R2: 0.0377 w_avg: [ 0.2067, 0.2568, 0.2098, ..., -0.1265, 0.0374, 0.0176]
INFO:root:[2][114/2187] Loss_D: 0.3517 Loss_G: 2.1306 R1: 0.0411 R2: 0.0447 w_avg: [ 0.2067, 0.2568, 0.2101, ..., -0.1265, 0.0372, 0.0175]
INFO:root:[2][115/2187] Loss_D: 0.4317 Loss_G: 2.1202 R1: 0.0434 R2: 0.0433 w_avg: [ 0.2062, 0.2568, 0.2095, ..., -0.1266, 0.0371, 0.0177]
INFO:root:[2][116/2187] Loss_D: 0.2818 Loss_G: 2.7202 R1: 0.0365 R2: 0.0341 w_avg: [ 0.2064, 0.2567, 0.2098, ..., -0.1267, 0.0369, 0.0178]
INFO:root:[2][117/2187] Loss_D: 0.3242 Loss_G: 1.6016 R1: 0.0419 R2: 0.0341 w_avg: [ 0.2059, 0.2566, 0.2099, ..., -0.1267, 0.0367, 0.0177]
INFO:root:[2][118/2187] Loss_D: 0.3314 Loss_G: 1.5754 R1: 0.0474 R2: 0.0399 w_avg: [ 0.2061, 0.2563, 0.2093, ..., -0.1266, 0.0366, 0.0176]
INFO:root:[2][119/2187] Loss_D: 0.3220 Loss_G: 2.4250 R1: 0.0408 R2: 0.0435 w_avg: [ 0.2063, 0.2567, 0.2088, ..., -0.1267, 0.0365, 0.0175]
INFO:root:[2][120/2187] Loss_D: 0.3527 Loss_G: 2.4067 R1: 0.0394 R2: 0.0410 w_avg: [ 0.2064, 0.2570, 0.2089, ..., -0.1267, 0.0365, 0.0175]
INFO:root:[2][121/2187] Loss_D: 0.3120 Loss_G: 2.4922 R1: 0.0448 R2: 0.0329 w_avg: [ 0.2062, 0.2569, 0.2084, ..., -0.1266, 0.0366, 0.0176]
INFO:root:[2][122/2187] Loss_D: 0.2432 Loss_G: 1.9863 R1: 0.0397 R2: 0.0354 w_avg: [ 0.2065, 0.2564, 0.2082, ..., -0.1267, 0.0369, 0.0178]
INFO:root:[2][123/2187] Loss_D: 0.2783 Loss_G: 1.9038 R1: 0.0446 R2: 0.0476 w_avg: [ 0.2068, 0.2560, 0.2078, ..., -0.1266, 0.0368, 0.0178]
INFO:root:[2][124/2187] Loss_D: 0.3806 Loss_G: 2.2529 R1: 0.0388 R2: 0.0337 w_avg: [ 0.2066, 0.2557, 0.2077, ..., -0.1268, 0.0369, 0.0175]
INFO:root:[2][125/2187] Loss_D: 0.2821 Loss_G: 2.6433 R1: 0.0418 R2: 0.0378 w_avg: [ 0.2064, 0.2557, 0.2077, ..., -0.1269, 0.0374, 0.0173]
INFO:root:[2][126/2187] Loss_D: 0.2596 Loss_G: 2.6938 R1: 0.0445 R2: 0.0430 w_avg: [ 0.2061, 0.2557, 0.2074, ..., -0.1267, 0.0376, 0.0176]
INFO:root:[2][127/2187] Loss_D: 0.3123 Loss_G: 2.1303 R1: 0.0456 R2: 0.0435 w_avg: [ 0.2059, 0.2556, 0.2073, ..., -0.1266, 0.0378, 0.0176]
INFO:root:[2][128/2187] Loss_D: 0.2951 Loss_G: 2.4842 R1: 0.0504 R2: 0.0342 w_avg: [ 0.2058, 0.2557, 0.2072, ..., -0.1267, 0.0380, 0.0173]
INFO:root:[2][129/2187] Loss_D: 0.2352 Loss_G: 2.6661 R1: 0.0412 R2: 0.0399 w_avg: [ 0.2058, 0.2554, 0.2074, ..., -0.1267, 0.0378, 0.0170]
INFO:root:[2][130/2187] Loss_D: 0.2341 Loss_G: 2.6782 R1: 0.0438 R2: 0.0428 w_avg: [ 0.2062, 0.2553, 0.2078, ..., -0.1268, 0.0377, 0.0169]
INFO:root:[2][131/2187] Loss_D: 0.2841 Loss_G: 2.4758 R1: 0.0510 R2: 0.0385 w_avg: [ 0.2061, 0.2552, 0.2078, ..., -0.1269, 0.0375, 0.0167]
INFO:root:[2][132/2187] Loss_D: 0.2983 Loss_G: 2.4224 R1: 0.0447 R2: 0.0524 w_avg: [ 0.2060, 0.2551, 0.2079, ..., -0.1268, 0.0372, 0.0167]
INFO:root:[2][133/2187] Loss_D: 0.2271 Loss_G: 2.2656 R1: 0.0533 R2: 0.0366 w_avg: [ 0.2060, 0.2553, 0.2082, ..., -0.1268, 0.0372, 0.0169]
INFO:root:[2][134/2187] Loss_D: 0.2475 Loss_G: 2.8988 R1: 0.0487 R2: 0.0310 w_avg: [ 0.2059, 0.2552, 0.2078, ..., -0.1266, 0.0370, 0.0167]
INFO:root:[2][135/2187] Loss_D: 0.2619 Loss_G: 2.5983 R1: 0.0427 R2: 0.0364 w_avg: [ 0.2057, 0.2551, 0.2081, ..., -0.1267, 0.0369, 0.0167]
INFO:root:[2][136/2187] Loss_D: 0.2916 Loss_G: 2.2325 R1: 0.0497 R2: 0.0359 w_avg: [ 0.2058, 0.2553, 0.2080, ..., -0.1269, 0.0371, 0.0169]
INFO:root:[2][137/2187] Loss_D: 0.2418 Loss_G: 2.0735 R1: 0.0392 R2: 0.0437 w_avg: [ 0.2061, 0.2552, 0.2078, ..., -0.1270, 0.0371, 0.0167]
INFO:root:[2][138/2187] Loss_D: 0.2180 Loss_G: 2.9055 R1: 0.0433 R2: 0.0379 w_avg: [ 0.2061, 0.2552, 0.2079, ..., -0.1271, 0.0371, 0.0167]
INFO:root:[2][139/2187] Loss_D: 0.2148 Loss_G: 2.4654 R1: 0.0457 R2: 0.0442 w_avg: [ 0.2064, 0.2552, 0.2082, ..., -0.1272, 0.0373, 0.0165]
INFO:root:[2][140/2187] Loss_D: 0.3678 Loss_G: 2.4892 R1: 0.0498 R2: 0.0429 w_avg: [ 0.2066, 0.2550, 0.2090, ..., -0.1274, 0.0371, 0.0165]
INFO:root:[2][141/2187] Loss_D: 0.3975 Loss_G: 2.1000 R1: 0.0476 R2: 0.0540 w_avg: [ 0.2071, 0.2549, 0.2091, ..., -0.1276, 0.0373, 0.0164]
INFO:root:[2][142/2187] Loss_D: 0.3677 Loss_G: 1.8810 R1: 0.0396 R2: 0.0417 w_avg: [ 0.2069, 0.2547, 0.2091, ..., -0.1274, 0.0377, 0.0163]
INFO:root:[2][143/2187] Loss_D: 0.2719 Loss_G: 2.7903 R1: 0.0388 R2: 0.0242 w_avg: [ 0.2073, 0.2543, 0.2100, ..., -0.1274, 0.0380, 0.0161]
INFO:root:[2][144/2187] Loss_D: 0.3452 Loss_G: 2.5124 R1: 0.0517 R2: 0.0336 w_avg: [ 0.2076, 0.2545, 0.2104, ..., -0.1273, 0.0376, 0.0161]
INFO:root:[2][145/2187] Loss_D: 0.2741 Loss_G: 2.1816 R1: 0.0454 R2: 0.0385 w_avg: [ 0.2075, 0.2541, 0.2103, ..., -0.1272, 0.0380, 0.0161]
INFO:root:[2][146/2187] Loss_D: 0.4011 Loss_G: 2.3139 R1: 0.0434 R2: 0.0410 w_avg: [ 0.2072, 0.2542, 0.2102, ..., -0.1269, 0.0380, 0.0161]
INFO:root:[2][147/2187] Loss_D: 0.3450 Loss_G: 2.2636 R1: 0.0481 R2: 0.0351 w_avg: [ 0.2070, 0.2541, 0.2100, ..., -0.1268, 0.0384, 0.0165]
INFO:root:[2][148/2187] Loss_D: 0.2600 Loss_G: 2.1651 R1: 0.0479 R2: 0.0294 w_avg: [ 0.2067, 0.2540, 0.2098, ..., -0.1266, 0.0385, 0.0162]
INFO:root:[2][149/2187] Loss_D: 0.3516 Loss_G: 3.1627 R1: 0.0480 R2: 0.0299 w_avg: [ 0.2065, 0.2539, 0.2096, ..., -0.1265, 0.0383, 0.0164]
INFO:root:[2][150/2187] Loss_D: 0.3263 Loss_G: 2.0384 R1: 0.0441 R2: 0.0416 w_avg: [ 0.2065, 0.2538, 0.2093, ..., -0.1265, 0.0380, 0.0164]
INFO:root:[2][151/2187] Loss_D: 0.5047 Loss_G: 2.9308 R1: 0.0501 R2: 0.0394 w_avg: [ 0.2064, 0.2542, 0.2093, ..., -0.1263, 0.0376, 0.0165]
INFO:root:[2][152/2187] Loss_D: 0.2245 Loss_G: 2.9412 R1: 0.0451 R2: 0.0326 w_avg: [ 0.2065, 0.2543, 0.2089, ..., -0.1265, 0.0376, 0.0168]
INFO:root:[2][153/2187] Loss_D: 0.3164 Loss_G: 2.6866 R1: 0.0424 R2: 0.0382 w_avg: [ 0.2062, 0.2543, 0.2088, ..., -0.1266, 0.0377, 0.0168]
INFO:root:[2][154/2187] Loss_D: 0.3978 Loss_G: 2.5418 R1: 0.0473 R2: 0.0409 w_avg: [ 0.2063, 0.2541, 0.2088, ..., -0.1266, 0.0382, 0.0166]
INFO:root:[2][155/2187] Loss_D: 0.2989 Loss_G: 2.8669 R1: 0.0447 R2: 0.0340 w_avg: [ 0.2066, 0.2540, 0.2090, ..., -0.1267, 0.0386, 0.0164]
INFO:root:[2][156/2187] Loss_D: 0.2095 Loss_G: 2.4997 R1: 0.0434 R2: 0.0514 w_avg: [ 0.2064, 0.2545, 0.2092, ..., -0.1269, 0.0385, 0.0163]
INFO:root:[2][157/2187] Loss_D: 0.4474 Loss_G: 3.3010 R1: 0.0498 R2: 0.0552 w_avg: [ 0.2061, 0.2543, 0.2093, ..., -0.1264, 0.0385, 0.0161]
INFO:root:[2][158/2187] Loss_D: 0.5574 Loss_G: 2.7738 R1: 0.0498 R2: 0.0319 w_avg: [ 0.2058, 0.2538, 0.2091, ..., -0.1265, 0.0385, 0.0162]
INFO:root:[2][159/2187] Loss_D: 0.2436 Loss_G: 3.3156 R1: 0.0372 R2: 0.0352 w_avg: [ 0.2054, 0.2536, 0.2088, ..., -0.1265, 0.0385, 0.0161]
INFO:root:[2][160/2187] Loss_D: 0.1798 Loss_G: 3.4676 R1: 0.0382 R2: 0.0294 w_avg: [ 0.2051, 0.2536, 0.2085, ..., -0.1264, 0.0387, 0.0160]
INFO:root:[2][161/2187] Loss_D: 0.4065 Loss_G: 3.4079 R1: 0.0429 R2: 0.0421 w_avg: [ 0.2053, 0.2539, 0.2086, ..., -0.1264, 0.0390, 0.0158]
INFO:root:[2][162/2187] Loss_D: 0.2351 Loss_G: 3.1305 R1: 0.0383 R2: 0.0416 w_avg: [ 0.2048, 0.2536, 0.2086, ..., -0.1263, 0.0390, 0.0160]
INFO:root:[2][163/2187] Loss_D: 0.6371 Loss_G: 3.1944 R1: 0.0380 R2: 0.0457 w_avg: [ 0.2047, 0.2534, 0.2081, ..., -0.1263, 0.0389, 0.0160]
INFO:root:[2][164/2187] Loss_D: 0.4232 Loss_G: 3.1884 R1: 0.0561 R2: 0.0347 w_avg: [ 0.2046, 0.2531, 0.2081, ..., -0.1263, 0.0390, 0.0161]
INFO:root:[2][165/2187] Loss_D: 0.1901 Loss_G: 2.9467 R1: 0.0363 R2: 0.0300 w_avg: [ 0.2046, 0.2531, 0.2076, ..., -0.1264, 0.0391, 0.0162]
INFO:root:[2][166/2187] Loss_D: 0.3099 Loss_G: 2.3684 R1: 0.0399 R2: 0.0425 w_avg: [ 0.2044, 0.2530, 0.2078, ..., -0.1264, 0.0390, 0.0163]
INFO:root:[2][167/2187] Loss_D: 0.2865 Loss_G: 2.4276 R1: 0.0470 R2: 0.0327 w_avg: [ 0.2042, 0.2529, 0.2079, ..., -0.1262, 0.0389, 0.0163]
INFO:root:[2][168/2187] Loss_D: 0.2771 Loss_G: 2.6954 R1: 0.0499 R2: 0.0327 w_avg: [ 0.2040, 0.2527, 0.2084, ..., -0.1261, 0.0388, 0.0163]
INFO:root:[2][169/2187] Loss_D: 0.2294 Loss_G: 2.5457 R1: 0.0475 R2: 0.0247 w_avg: [ 0.2039, 0.2531, 0.2085, ..., -0.1262, 0.0386, 0.0162]
INFO:root:[2][170/2187] Loss_D: 0.8672 Loss_G: 2.1303 R1: 0.0416 R2: 0.0631 w_avg: [ 0.2034, 0.2531, 0.2085, ..., -0.1262, 0.0383, 0.0160]
INFO:root:[2][171/2187] Loss_D: 0.3364 Loss_G: 1.9219 R1: 0.0501 R2: 0.0237 w_avg: [ 0.2031, 0.2530, 0.2086, ..., -0.1262, 0.0380, 0.0162]
INFO:root:[2][172/2187] Loss_D: 0.2107 Loss_G: 2.2627 R1: 0.0462 R2: 0.0288 w_avg: [ 0.2030, 0.2528, 0.2087, ..., -0.1262, 0.0381, 0.0164]
INFO:root:[2][173/2187] Loss_D: 0.4077 Loss_G: 2.2882 R1: 0.0476 R2: 0.0386 w_avg: [ 0.2035, 0.2524, 0.2090, ..., -0.1261, 0.0379, 0.0165]
INFO:root:[2][174/2187] Loss_D: 0.2994 Loss_G: 2.1646 R1: 0.0393 R2: 0.0415 w_avg: [ 0.2037, 0.2523, 0.2092, ..., -0.1260, 0.0382, 0.0167]
INFO:root:[2][175/2187] Loss_D: 0.3492 Loss_G: 2.4440 R1: 0.0431 R2: 0.0462 w_avg: [ 0.2034, 0.2520, 0.2092, ..., -0.1261, 0.0384, 0.0168]
INFO:root:[2][176/2187] Loss_D: 0.2807 Loss_G: 2.4603 R1: 0.0388 R2: 0.0378 w_avg: [ 0.2035, 0.2522, 0.2093, ..., -0.1261, 0.0384, 0.0168]
INFO:root:[2][177/2187] Loss_D: 0.3068 Loss_G: 2.2129 R1: 0.0403 R2: 0.0336 w_avg: [ 0.2033, 0.2520, 0.2092, ..., -0.1261, 0.0384, 0.0166]
INFO:root:[2][178/2187] Loss_D: 0.3964 Loss_G: 2.1131 R1: 0.0442 R2: 0.0513 w_avg: [ 0.2035, 0.2522, 0.2088, ..., -0.1261, 0.0384, 0.0163]
INFO:root:[2][179/2187] Loss_D: 0.3703 Loss_G: 2.7011 R1: 0.0459 R2: 0.0448 w_avg: [ 0.2042, 0.2520, 0.2093, ..., -0.1261, 0.0389, 0.0163]
INFO:root:[2][180/2187] Loss_D: 0.3175 Loss_G: 2.0610 R1: 0.0453 R2: 0.0431 w_avg: [ 0.2040, 0.2521, 0.2088, ..., -0.1260, 0.0390, 0.0167]
INFO:root:[2][181/2187] Loss_D: 0.2821 Loss_G: 2.0812 R1: 0.0424 R2: 0.0321 w_avg: [ 0.2045, 0.2524, 0.2089, ..., -0.1262, 0.0391, 0.0166]
INFO:root:[2][182/2187] Loss_D: 0.3473 Loss_G: 2.0775 R1: 0.0390 R2: 0.0348 w_avg: [ 0.2044, 0.2524, 0.2091, ..., -0.1261, 0.0389, 0.0167]
INFO:root:[2][183/2187] Loss_D: 0.3091 Loss_G: 2.2099 R1: 0.0384 R2: 0.0388 w_avg: [ 0.2043, 0.2525, 0.2089, ..., -0.1261, 0.0388, 0.0167]
INFO:root:[2][184/2187] Loss_D: 0.2662 Loss_G: 1.6845 R1: 0.0399 R2: 0.0404 w_avg: [ 0.2044, 0.2525, 0.2090, ..., -0.1262, 0.0390, 0.0165]
INFO:root:[2][185/2187] Loss_D: 0.3080 Loss_G: 2.3828 R1: 0.0465 R2: 0.0388 w_avg: [ 0.2048, 0.2523, 0.2092, ..., -0.1260, 0.0388, 0.0165]
INFO:root:[2][186/2187] Loss_D: 0.3025 Loss_G: 2.3562 R1: 0.0375 R2: 0.0407 w_avg: [ 0.2046, 0.2525, 0.2092, ..., -0.1261, 0.0387, 0.0165]
INFO:root:[2][187/2187] Loss_D: 0.3921 Loss_G: 2.5025 R1: 0.0383 R2: 0.0347 w_avg: [ 0.2045, 0.2523, 0.2091, ..., -0.1261, 0.0386, 0.0169]
INFO:root:[2][188/2187] Loss_D: 0.2342 Loss_G: 2.5143 R1: 0.0415 R2: 0.0337 w_avg: [ 0.2042, 0.2522, 0.2092, ..., -0.1261, 0.0388, 0.0170]
INFO:root:[2][189/2187] Loss_D: 0.3802 Loss_G: 3.0729 R1: 0.0418 R2: 0.0445 w_avg: [ 0.2046, 0.2519, 0.2092, ..., -0.1262, 0.0389, 0.0171]
INFO:root:[2][190/2187] Loss_D: 0.1965 Loss_G: 2.6348 R1: 0.0364 R2: 0.0424 w_avg: [ 0.2047, 0.2517, 0.2096, ..., -0.1261, 0.0390, 0.0172]
INFO:root:[2][191/2187] Loss_D: 0.2881 Loss_G: 2.0826 R1: 0.0396 R2: 0.0465 w_avg: [ 0.2050, 0.2520, 0.2096, ..., -0.1261, 0.0389, 0.0170]
INFO:root:[2][192/2187] Loss_D: 0.3494 Loss_G: 2.6486 R1: 0.0380 R2: 0.0460 w_avg: [ 0.2047, 0.2516, 0.2096, ..., -0.1261, 0.0394, 0.0168]
INFO:root:[2][193/2187] Loss_D: 0.5485 Loss_G: 2.9732 R1: 0.0383 R2: 0.0433 w_avg: [ 0.2045, 0.2513, 0.2094, ..., -0.1262, 0.0396, 0.0171]
INFO:root:[2][194/2187] Loss_D: 0.2738 Loss_G: 2.3932 R1: 0.0391 R2: 0.0404 w_avg: [ 0.2050, 0.2519, 0.2092, ..., -0.1262, 0.0400, 0.0175]
INFO:root:[2][195/2187] Loss_D: 0.3327 Loss_G: 3.1822 R1: 0.0444 R2: 0.0426 w_avg: [ 0.2047, 0.2515, 0.2092, ..., -0.1263, 0.0401, 0.0173]
INFO:root:[2][196/2187] Loss_D: 0.3386 Loss_G: 2.8683 R1: 0.0421 R2: 0.0377 w_avg: [ 0.2045, 0.2513, 0.2092, ..., -0.1263, 0.0402, 0.0171]
INFO:root:[2][197/2187] Loss_D: 0.2433 Loss_G: 2.1318 R1: 0.0416 R2: 0.0387 w_avg: [ 0.2048, 0.2515, 0.2089, ..., -0.1265, 0.0400, 0.0171]
INFO:root:[2][198/2187] Loss_D: 0.2989 Loss_G: 2.4811 R1: 0.0407 R2: 0.0441 w_avg: [ 0.2046, 0.2514, 0.2088, ..., -0.1265, 0.0399, 0.0168]
INFO:root:[2][199/2187] Loss_D: 0.2863 Loss_G: 2.4642 R1: 0.0454 R2: 0.0413 w_avg: [ 0.2047, 0.2513, 0.2091, ..., -0.1266, 0.0397, 0.0164]
INFO:root:[2][200/2187] Loss_D: 0.4527 Loss_G: 3.0066 R1: 0.0460 R2: 0.0305 w_avg: [ 0.2051, 0.2517, 0.2092, ..., -0.1266, 0.0394, 0.0166]
INFO:root:[2][201/2187] Loss_D: 0.2119 Loss_G: 2.8251 R1: 0.0425 R2: 0.0277 w_avg: [ 0.2049, 0.2520, 0.2094, ..., -0.1267, 0.0394, 0.0167]
INFO:root:[2][202/2187] Loss_D: 0.6763 Loss_G: 2.0931 R1: 0.0385 R2: 0.0365 w_avg: [ 0.2053, 0.2517, 0.2096, ..., -0.1268, 0.0397, 0.0164]
INFO:root:[2][203/2187] Loss_D: 0.2953 Loss_G: 2.7105 R1: 0.0327 R2: 0.0311 w_avg: [ 0.2051, 0.2517, 0.2096, ..., -0.1267, 0.0397, 0.0163]
INFO:root:[2][204/2187] Loss_D: 0.2804 Loss_G: 2.4591 R1: 0.0366 R2: 0.0309 w_avg: [ 0.2049, 0.2516, 0.2094, ..., -0.1267, 0.0397, 0.0165]
INFO:root:[2][205/2187] Loss_D: 0.2469 Loss_G: 2.3205 R1: 0.0357 R2: 0.0393 w_avg: [ 0.2046, 0.2514, 0.2094, ..., -0.1267, 0.0392, 0.0164]
INFO:root:[2][206/2187] Loss_D: 0.3672 Loss_G: 1.9825 R1: 0.0382 R2: 0.0345 w_avg: [ 0.2045, 0.2512, 0.2098, ..., -0.1268, 0.0394, 0.0163]
INFO:root:[2][207/2187] Loss_D: 0.2907 Loss_G: 2.2228 R1: 0.0451 R2: 0.0279 w_avg: [ 0.2048, 0.2508, 0.2096, ..., -0.1270, 0.0394, 0.0163]
INFO:root:[2][208/2187] Loss_D: 0.2795 Loss_G: 1.9893 R1: 0.0431 R2: 0.0370 w_avg: [ 0.2048, 0.2505, 0.2102, ..., -0.1269, 0.0395, 0.0162]
INFO:root:[2][209/2187] Loss_D: 0.2325 Loss_G: 1.8822 R1: 0.0413 R2: 0.0341 w_avg: [ 0.2049, 0.2506, 0.2103, ..., -0.1270, 0.0397, 0.0163]
INFO:root:[2][210/2187] Loss_D: 0.3866 Loss_G: 1.9370 R1: 0.0412 R2: 0.0387 w_avg: [ 0.2051, 0.2503, 0.2103, ..., -0.1272, 0.0400, 0.0161]
INFO:root:[2][211/2187] Loss_D: 0.3575 Loss_G: 2.5694 R1: 0.0419 R2: 0.0382 w_avg: [ 0.2050, 0.2511, 0.2108, ..., -0.1273, 0.0398, 0.0159]
INFO:root:[2][212/2187] Loss_D: 0.3344 Loss_G: 2.5823 R1: 0.0413 R2: 0.0323 w_avg: [ 0.2049, 0.2512, 0.2112, ..., -0.1274, 0.0395, 0.0158]
INFO:root:[2][213/2187] Loss_D: 0.2665 Loss_G: 2.4455 R1: 0.0420 R2: 0.0298 w_avg: [ 0.2048, 0.2511, 0.2108, ..., -0.1276, 0.0398, 0.0156]
INFO:root:[2][214/2187] Loss_D: 0.4533 Loss_G: 2.3354 R1: 0.0409 R2: 0.0426 w_avg: [ 0.2047, 0.2512, 0.2113, ..., -0.1277, 0.0401, 0.0155]
INFO:root:[2][215/2187] Loss_D: 0.3323 Loss_G: 2.7110 R1: 0.0405 R2: 0.0352 w_avg: [ 0.2049, 0.2512, 0.2114, ..., -0.1277, 0.0404, 0.0154]
INFO:root:[2][216/2187] Loss_D: 0.3674 Loss_G: 2.3266 R1: 0.0409 R2: 0.0324 w_avg: [ 0.2042, 0.2512, 0.2111, ..., -0.1274, 0.0401, 0.0155]
INFO:root:[2][217/2187] Loss_D: 0.2260 Loss_G: 2.2262 R1: 0.0384 R2: 0.0472 w_avg: [ 0.2043, 0.2511, 0.2109, ..., -0.1273, 0.0398, 0.0155]
INFO:root:[2][218/2187] Loss_D: 0.5041 Loss_G: 2.9774 R1: 0.0420 R2: 0.0483 w_avg: [ 0.2044, 0.2513, 0.2107, ..., -0.1272, 0.0399, 0.0154]
INFO:root:[2][219/2187] Loss_D: 0.1986 Loss_G: 2.9963 R1: 0.0427 R2: 0.0153 w_avg: [ 0.2046, 0.2510, 0.2112, ..., -0.1273, 0.0396, 0.0154]
INFO:root:[2][220/2187] Loss_D: 0.4898 Loss_G: 2.8838 R1: 0.0398 R2: 0.0452 w_avg: [ 0.2049, 0.2512, 0.2112, ..., -0.1271, 0.0392, 0.0155]
INFO:root:[2][221/2187] Loss_D: 0.3039 Loss_G: 2.7286 R1: 0.0324 R2: 0.0387 w_avg: [ 0.2049, 0.2521, 0.2111, ..., -0.1268, 0.0394, 0.0155]
INFO:root:[2][222/2187] Loss_D: 0.3531 Loss_G: 2.4785 R1: 0.0333 R2: 0.0369 w_avg: [ 0.2050, 0.2518, 0.2109, ..., -0.1269, 0.0400, 0.0153]
INFO:root:[2][223/2187] Loss_D: 0.3023 Loss_G: 2.7723 R1: 0.0381 R2: 0.0374 w_avg: [ 0.2046, 0.2515, 0.2107, ..., -0.1267, 0.0399, 0.0153]
INFO:root:[2][224/2187] Loss_D: 0.3240 Loss_G: 2.1381 R1: 0.0433 R2: 0.0374 w_avg: [ 0.2049, 0.2514, 0.2104, ..., -0.1269, 0.0402, 0.0153]
INFO:root:[2][225/2187] Loss_D: 0.3540 Loss_G: 2.2000 R1: 0.0426 R2: 0.0322 w_avg: [ 0.2050, 0.2517, 0.2107, ..., -0.1270, 0.0402, 0.0152]
INFO:root:[2][226/2187] Loss_D: 0.2922 Loss_G: 2.2453 R1: 0.0423 R2: 0.0320 w_avg: [ 0.2046, 0.2516, 0.2112, ..., -0.1272, 0.0399, 0.0149]
INFO:root:[2][227/2187] Loss_D: 0.3852 Loss_G: 2.0297 R1: 0.0444 R2: 0.0496 w_avg: [ 0.2044, 0.2511, 0.2109, ..., -0.1272, 0.0398, 0.0149]
INFO:root:[2][228/2187] Loss_D: 0.2581 Loss_G: 2.3571 R1: 0.0484 R2: 0.0289 w_avg: [ 0.2041, 0.2509, 0.2113, ..., -0.1272, 0.0398, 0.0148]
INFO:root:[2][229/2187] Loss_D: 0.2662 Loss_G: 2.7444 R1: 0.0491 R2: 0.0350 w_avg: [ 0.2040, 0.2511, 0.2114, ..., -0.1272, 0.0396, 0.0145]
INFO:root:[2][230/2187] Loss_D: 0.3351 Loss_G: 2.6713 R1: 0.0453 R2: 0.0351 w_avg: [ 0.2037, 0.2508, 0.2113, ..., -0.1274, 0.0396, 0.0140]
INFO:root:[2][231/2187] Loss_D: 0.2233 Loss_G: 2.4215 R1: 0.0418 R2: 0.0314 w_avg: [ 0.2034, 0.2505, 0.2116, ..., -0.1273, 0.0396, 0.0142]
INFO:root:[2][232/2187] Loss_D: 0.2422 Loss_G: 3.0581 R1: 0.0455 R2: 0.0431 w_avg: [ 0.2034, 0.2502, 0.2113, ..., -0.1274, 0.0396, 0.0142]
INFO:root:[2][233/2187] Loss_D: 0.1926 Loss_G: 2.0974 R1: 0.0445 R2: 0.0305 w_avg: [ 0.2029, 0.2500, 0.2110, ..., -0.1274, 0.0392, 0.0141]
INFO:root:[2][234/2187] Loss_D: 0.2155 Loss_G: 2.7723 R1: 0.0391 R2: 0.0244 w_avg: [ 0.2030, 0.2497, 0.2111, ..., -0.1274, 0.0393, 0.0142]
INFO:root:[2][235/2187] Loss_D: 0.3503 Loss_G: 2.7288 R1: 0.0418 R2: 0.0419 w_avg: [ 0.2030, 0.2495, 0.2112, ..., -0.1272, 0.0393, 0.0139]
INFO:root:[2][236/2187] Loss_D: 0.3006 Loss_G: 2.7861 R1: 0.0456 R2: 0.0447 w_avg: [ 0.2027, 0.2496, 0.2108, ..., -0.1270, 0.0392, 0.0138]
INFO:root:[2][237/2187] Loss_D: 0.2629 Loss_G: 2.2572 R1: 0.0360 R2: 0.0346 w_avg: [ 0.2026, 0.2497, 0.2108, ..., -0.1271, 0.0389, 0.0139]
INFO:root:[2][238/2187] Loss_D: 0.2257 Loss_G: 2.8532 R1: 0.0417 R2: 0.0409 w_avg: [ 0.2023, 0.2497, 0.2108, ..., -0.1270, 0.0387, 0.0135]
INFO:root:[2][239/2187] Loss_D: 0.4011 Loss_G: 2.6610 R1: 0.0443 R2: 0.0609 w_avg: [ 0.2026, 0.2496, 0.2106, ..., -0.1271, 0.0388, 0.0134]
INFO:root:[2][240/2187] Loss_D: 0.3615 Loss_G: 2.8810 R1: 0.0446 R2: 0.0399 w_avg: [ 0.2024, 0.2492, 0.2106, ..., -0.1271, 0.0389, 0.0130]
INFO:root:[2][241/2187] Loss_D: 0.2911 Loss_G: 2.7509 R1: 0.0520 R2: 0.0460 w_avg: [ 0.2026, 0.2492, 0.2107, ..., -0.1272, 0.0393, 0.0128]
INFO:root:[2][242/2187] Loss_D: 0.2623 Loss_G: 2.5896 R1: 0.0445 R2: 0.0340 w_avg: [ 0.2023, 0.2493, 0.2106, ..., -0.1272, 0.0395, 0.0129]
INFO:root:[2][243/2187] Loss_D: 0.3437 Loss_G: 2.6044 R1: 0.0421 R2: 0.0379 w_avg: [ 0.2024, 0.2492, 0.2108, ..., -0.1273, 0.0398, 0.0131]
INFO:root:[2][244/2187] Loss_D: 0.4909 Loss_G: 2.4442 R1: 0.0517 R2: 0.0454 w_avg: [ 0.2022, 0.2491, 0.2110, ..., -0.1273, 0.0400, 0.0131]
INFO:root:[2][245/2187] Loss_D: 0.4045 Loss_G: 2.9584 R1: 0.0454 R2: 0.0339 w_avg: [ 0.2019, 0.2486, 0.2110, ..., -0.1274, 0.0401, 0.0130]
INFO:root:[2][246/2187] Loss_D: 0.2842 Loss_G: 2.5509 R1: 0.0450 R2: 0.0370 w_avg: [ 0.2018, 0.2483, 0.2106, ..., -0.1272, 0.0401, 0.0133]
INFO:root:[2][247/2187] Loss_D: 0.3099 Loss_G: 2.1716 R1: 0.0413 R2: 0.0410 w_avg: [ 0.2018, 0.2482, 0.2103, ..., -0.1274, 0.0399, 0.0134]
INFO:root:[2][248/2187] Loss_D: 0.2910 Loss_G: 2.1528 R1: 0.0465 R2: 0.0486 w_avg: [ 0.2023, 0.2479, 0.2100, ..., -0.1273, 0.0401, 0.0133]
INFO:root:[2][249/2187] Loss_D: 0.2081 Loss_G: 2.2405 R1: 0.0523 R2: 0.0393 w_avg: [ 0.2028, 0.2479, 0.2102, ..., -0.1274, 0.0402, 0.0134]
INFO:root:[2][250/2187] Loss_D: 0.3153 Loss_G: 2.4280 R1: 0.0503 R2: 0.0475 w_avg: [ 0.2030, 0.2479, 0.2103, ..., -0.1275, 0.0402, 0.0136]
INFO:root:[2][251/2187] Loss_D: 0.2389 Loss_G: 2.5644 R1: 0.0417 R2: 0.0378 w_avg: [ 0.2026, 0.2479, 0.2102, ..., -0.1275, 0.0401, 0.0135]
INFO:root:[2][252/2187] Loss_D: 0.3042 Loss_G: 2.1628 R1: 0.0453 R2: 0.0410 w_avg: [ 0.2024, 0.2481, 0.2100, ..., -0.1275, 0.0400, 0.0134]
INFO:root:[2][253/2187] Loss_D: 0.3643 Loss_G: 2.3014 R1: 0.0409 R2: 0.0470 w_avg: [ 0.2026, 0.2479, 0.2100, ..., -0.1276, 0.0398, 0.0133]
INFO:root:[2][254/2187] Loss_D: 0.2485 Loss_G: 2.7793 R1: 0.0403 R2: 0.0408 w_avg: [ 0.2023, 0.2483, 0.2099, ..., -0.1277, 0.0397, 0.0133]
INFO:root:[2][255/2187] Loss_D: 0.2884 Loss_G: 1.8212 R1: 0.0450 R2: 0.0429 w_avg: [ 0.2025, 0.2481, 0.2098, ..., -0.1279, 0.0398, 0.0132]
INFO:root:[2][256/2187] Loss_D: 0.2967 Loss_G: 2.7985 R1: 0.0474 R2: 0.0432 w_avg: [ 0.2023, 0.2478, 0.2097, ..., -0.1280, 0.0398, 0.0131]
INFO:root:[2][257/2187] Loss_D: 0.3536 Loss_G: 2.3388 R1: 0.0476 R2: 0.0414 w_avg: [ 0.2022, 0.2479, 0.2095, ..., -0.1279, 0.0399, 0.0133]
INFO:root:[2][258/2187] Loss_D: 0.2795 Loss_G: 2.5817 R1: 0.0582 R2: 0.0343 w_avg: [ 0.2024, 0.2478, 0.2094, ..., -0.1280, 0.0400, 0.0134]
INFO:root:[2][259/2187] Loss_D: 0.2998 Loss_G: 2.5582 R1: 0.0521 R2: 0.0410 w_avg: [ 0.2021, 0.2476, 0.2091, ..., -0.1280, 0.0400, 0.0133]
INFO:root:[2][260/2187] Loss_D: 0.2145 Loss_G: 2.3875 R1: 0.0475 R2: 0.0445 w_avg: [ 0.2019, 0.2474, 0.2089, ..., -0.1279, 0.0397, 0.0136]
INFO:root:[2][261/2187] Loss_D: 0.3372 Loss_G: 2.3087 R1: 0.0486 R2: 0.0352 w_avg: [ 0.2018, 0.2468, 0.2090, ..., -0.1281, 0.0400, 0.0134]
INFO:root:[2][262/2187] Loss_D: 0.3468 Loss_G: 2.0308 R1: 0.0457 R2: 0.0414 w_avg: [ 0.2016, 0.2464, 0.2084, ..., -0.1282, 0.0400, 0.0134]
INFO:root:[2][263/2187] Loss_D: 0.3450 Loss_G: 2.4057 R1: 0.0442 R2: 0.0372 w_avg: [ 0.2026, 0.2466, 0.2087, ..., -0.1282, 0.0401, 0.0134]
INFO:root:[2][264/2187] Loss_D: 0.2880 Loss_G: 2.9910 R1: 0.0439 R2: 0.0294 w_avg: [ 0.2029, 0.2470, 0.2085, ..., -0.1284, 0.0402, 0.0134]
INFO:root:[2][265/2187] Loss_D: 0.2615 Loss_G: 2.4329 R1: 0.0440 R2: 0.0322 w_avg: [ 0.2027, 0.2470, 0.2090, ..., -0.1285, 0.0404, 0.0135]
INFO:root:[2][266/2187] Loss_D: 0.2351 Loss_G: 2.1543 R1: 0.0407 R2: 0.0409 w_avg: [ 0.2034, 0.2468, 0.2087, ..., -0.1285, 0.0409, 0.0136]
INFO:root:[2][267/2187] Loss_D: 0.2888 Loss_G: 2.3199 R1: 0.0484 R2: 0.0344 w_avg: [ 0.2037, 0.2471, 0.2092, ..., -0.1283, 0.0408, 0.0136]
INFO:root:[2][268/2187] Loss_D: 0.3208 Loss_G: 3.0315 R1: 0.0474 R2: 0.0422 w_avg: [ 0.2044, 0.2471, 0.2095, ..., -0.1283, 0.0408, 0.0133]
INFO:root:[2][269/2187] Loss_D: 0.2612 Loss_G: 2.4771 R1: 0.0408 R2: 0.0434 w_avg: [ 0.2039, 0.2467, 0.2092, ..., -0.1283, 0.0410, 0.0130]
INFO:root:[2][270/2187] Loss_D: 0.3255 Loss_G: 2.9578 R1: 0.0470 R2: 0.0490 w_avg: [ 0.2040, 0.2471, 0.2091, ..., -0.1283, 0.0411, 0.0129]
INFO:root:[2][271/2187] Loss_D: 0.4187 Loss_G: 3.2397 R1: 0.0400 R2: 0.0482 w_avg: [ 0.2038, 0.2470, 0.2092, ..., -0.1284, 0.0411, 0.0127]
INFO:root:[2][272/2187] Loss_D: 0.2446 Loss_G: 2.4732 R1: 0.0449 R2: 0.0424 w_avg: [ 0.2036, 0.2470, 0.2091, ..., -0.1285, 0.0413, 0.0123]
INFO:root:[2][273/2187] Loss_D: 0.3453 Loss_G: 2.0879 R1: 0.0440 R2: 0.0479 w_avg: [ 0.2033, 0.2472, 0.2087, ..., -0.1284, 0.0410, 0.0131]
INFO:root:[2][274/2187] Loss_D: 0.1964 Loss_G: 2.4080 R1: 0.0504 R2: 0.0269 w_avg: [ 0.2031, 0.2472, 0.2090, ..., -0.1285, 0.0409, 0.0131]
INFO:root:[2][275/2187] Loss_D: 0.4096 Loss_G: 3.0368 R1: 0.0429 R2: 0.0448 w_avg: [ 0.2030, 0.2467, 0.2087, ..., -0.1286, 0.0411, 0.0130]
INFO:root:[2][276/2187] Loss_D: 0.1587 Loss_G: 2.3331 R1: 0.0411 R2: 0.0348 w_avg: [ 0.2029, 0.2470, 0.2089, ..., -0.1287, 0.0409, 0.0127]
INFO:root:[2][277/2187] Loss_D: 0.2805 Loss_G: 2.9360 R1: 0.0431 R2: 0.0516 w_avg: [ 0.2035, 0.2469, 0.2090, ..., -0.1287, 0.0411, 0.0126]
INFO:root:[2][278/2187] Loss_D: 0.3035 Loss_G: 3.0835 R1: 0.0508 R2: 0.0317 w_avg: [ 0.2036, 0.2466, 0.2089, ..., -0.1284, 0.0412, 0.0126]
INFO:root:[2][279/2187] Loss_D: 0.2308 Loss_G: 2.9319 R1: 0.0427 R2: 0.0313 w_avg: [ 0.2037, 0.2460, 0.2091, ..., -0.1285, 0.0412, 0.0128]
INFO:root:[2][280/2187] Loss_D: 0.2523 Loss_G: 2.4450 R1: 0.0417 R2: 0.0343 w_avg: [ 0.2040, 0.2456, 0.2091, ..., -0.1286, 0.0414, 0.0127]
INFO:root:[2][281/2187] Loss_D: 0.3081 Loss_G: 3.0036 R1: 0.0403 R2: 0.0438 w_avg: [ 0.2037, 0.2456, 0.2093, ..., -0.1283, 0.0413, 0.0127]
INFO:root:[2][282/2187] Loss_D: 0.3166 Loss_G: 2.4465 R1: 0.0435 R2: 0.0544 w_avg: [ 0.2034, 0.2456, 0.2093, ..., -0.1283, 0.0411, 0.0126]
INFO:root:[2][283/2187] Loss_D: 0.3928 Loss_G: 2.2828 R1: 0.0454 R2: 0.0383 w_avg: [ 0.2040, 0.2455, 0.2091, ..., -0.1283, 0.0411, 0.0123]
INFO:root:[2][284/2187] Loss_D: 0.4380 Loss_G: 2.9151 R1: 0.0575 R2: 0.0411 w_avg: [ 0.2039, 0.2451, 0.2092, ..., -0.1284, 0.0416, 0.0122]
INFO:root:[2][285/2187] Loss_D: 0.2918 Loss_G: 2.9748 R1: 0.0382 R2: 0.0448 w_avg: [ 0.2039, 0.2455, 0.2097, ..., -0.1285, 0.0414, 0.0121]
INFO:root:[2][286/2187] Loss_D: 0.3042 Loss_G: 2.7678 R1: 0.0544 R2: 0.0487 w_avg: [ 0.2042, 0.2456, 0.2098, ..., -0.1286, 0.0412, 0.0118]
INFO:root:[2][287/2187] Loss_D: 0.2333 Loss_G: 3.0821 R1: 0.0518 R2: 0.0408 w_avg: [ 0.2042, 0.2456, 0.2101, ..., -0.1286, 0.0411, 0.0116]
INFO:root:[2][288/2187] Loss_D: 0.3556 Loss_G: 2.6239 R1: 0.0495 R2: 0.0585 w_avg: [ 0.2043, 0.2454, 0.2100, ..., -0.1286, 0.0411, 0.0116]
INFO:root:[2][289/2187] Loss_D: 0.2162 Loss_G: 2.7942 R1: 0.0433 R2: 0.0322 w_avg: [ 0.2042, 0.2453, 0.2101, ..., -0.1287, 0.0411, 0.0115]
INFO:root:[2][290/2187] Loss_D: 0.3751 Loss_G: 2.8849 R1: 0.0454 R2: 0.0467 w_avg: [ 0.2049, 0.2451, 0.2096, ..., -0.1287, 0.0413, 0.0115]
INFO:root:[2][291/2187] Loss_D: 0.5291 Loss_G: 2.6621 R1: 0.0454 R2: 0.0352 w_avg: [ 0.2047, 0.2452, 0.2097, ..., -0.1285, 0.0414, 0.0114]
INFO:root:[2][292/2187] Loss_D: 0.2842 Loss_G: 2.2995 R1: 0.0428 R2: 0.0419 w_avg: [ 0.2049, 0.2451, 0.2099, ..., -0.1286, 0.0413, 0.0112]
INFO:root:[2][293/2187] Loss_D: 0.2854 Loss_G: 2.2920 R1: 0.0370 R2: 0.0412 w_avg: [ 0.2047, 0.2453, 0.2098, ..., -0.1284, 0.0412, 0.0111]
INFO:root:[2][294/2187] Loss_D: 0.3986 Loss_G: 2.8121 R1: 0.0347 R2: 0.0373 w_avg: [ 0.2052, 0.2455, 0.2096, ..., -0.1284, 0.0414, 0.0111]
INFO:root:[2][295/2187] Loss_D: 0.2669 Loss_G: 2.6821 R1: 0.0380 R2: 0.0402 w_avg: [ 0.2047, 0.2456, 0.2094, ..., -0.1284, 0.0413, 0.0111]
INFO:root:[2][296/2187] Loss_D: 0.3954 Loss_G: 2.3768 R1: 0.0395 R2: 0.0406 w_avg: [ 0.2049, 0.2450, 0.2094, ..., -0.1284, 0.0412, 0.0112]
INFO:root:[2][297/2187] Loss_D: 0.4193 Loss_G: 1.8982 R1: 0.0437 R2: 0.0351 w_avg: [ 0.2047, 0.2448, 0.2093, ..., -0.1285, 0.0411, 0.0110]
INFO:root:[2][298/2187] Loss_D: 0.2746 Loss_G: 2.5944 R1: 0.0482 R2: 0.0311 w_avg: [ 0.2049, 0.2447, 0.2092, ..., -0.1287, 0.0413, 0.0107]
INFO:root:[2][299/2187] Loss_D: 0.2434 Loss_G: 2.3183 R1: 0.0435 R2: 0.0316 w_avg: [ 0.2051, 0.2444, 0.2095, ..., -0.1289, 0.0414, 0.0108]
INFO:root:[2][300/2187] Loss_D: 0.3080 Loss_G: 2.5112 R1: 0.0407 R2: 0.0331 w_avg: [ 0.2051, 0.2445, 0.2093, ..., -0.1289, 0.0416, 0.0107]
INFO:root:[2][301/2187] Loss_D: 0.2638 Loss_G: 2.2669 R1: 0.0470 R2: 0.0378 w_avg: [ 0.2051, 0.2447, 0.2091, ..., -0.1288, 0.0416, 0.0108]
INFO:root:[2][302/2187] Loss_D: 0.3033 Loss_G: 2.4617 R1: 0.0426 R2: 0.0343 w_avg: [ 0.2051, 0.2445, 0.2090, ..., -0.1289, 0.0416, 0.0108]
INFO:root:[2][303/2187] Loss_D: 0.3388 Loss_G: 2.4079 R1: 0.0470 R2: 0.0454 w_avg: [ 0.2058, 0.2443, 0.2092, ..., -0.1289, 0.0420, 0.0106]
INFO:root:[2][304/2187] Loss_D: 0.2939 Loss_G: 2.5747 R1: 0.0439 R2: 0.0424 w_avg: [ 0.2053, 0.2442, 0.2089, ..., -0.1290, 0.0420, 0.0104]
INFO:root:[2][305/2187] Loss_D: 0.3691 Loss_G: 2.1383 R1: 0.0478 R2: 0.0371 w_avg: [ 0.2050, 0.2437, 0.2090, ..., -0.1289, 0.0417, 0.0104]
INFO:root:[2][306/2187] Loss_D: 0.3639 Loss_G: 2.5003 R1: 0.0500 R2: 0.0391 w_avg: [ 0.2049, 0.2432, 0.2092, ..., -0.1290, 0.0416, 0.0103]
INFO:root:[2][307/2187] Loss_D: 0.3327 Loss_G: 2.4872 R1: 0.0482 R2: 0.0309 w_avg: [ 0.2050, 0.2434, 0.2092, ..., -0.1288, 0.0413, 0.0102]
INFO:root:[2][308/2187] Loss_D: 0.5302 Loss_G: 2.4217 R1: 0.0442 R2: 0.0345 w_avg: [ 0.2049, 0.2433, 0.2094, ..., -0.1288, 0.0410, 0.0101]
INFO:root:[2][309/2187] Loss_D: 0.3667 Loss_G: 2.4424 R1: 0.0511 R2: 0.0501 w_avg: [ 0.2050, 0.2436, 0.2095, ..., -0.1288, 0.0411, 0.0103]
INFO:root:[2][310/2187] Loss_D: 0.2427 Loss_G: 2.7394 R1: 0.0562 R2: 0.0371 w_avg: [ 0.2056, 0.2434, 0.2090, ..., -0.1289, 0.0409, 0.0103]
INFO:root:[2][311/2187] Loss_D: 0.2323 Loss_G: 2.1779 R1: 0.0478 R2: 0.0347 w_avg: [ 0.2053, 0.2431, 0.2092, ..., -0.1290, 0.0411, 0.0106]
INFO:root:[2][312/2187] Loss_D: 0.3225 Loss_G: 2.4272 R1: 0.0430 R2: 0.0388 w_avg: [ 0.2055, 0.2431, 0.2091, ..., -0.1291, 0.0412, 0.0105]
INFO:root:[2][313/2187] Loss_D: 0.4152 Loss_G: 2.4841 R1: 0.0427 R2: 0.0470 w_avg: [ 0.2055, 0.2432, 0.2094, ..., -0.1292, 0.0412, 0.0103]
INFO:root:[2][314/2187] Loss_D: 0.4766 Loss_G: 2.4452 R1: 0.0431 R2: 0.0395 w_avg: [ 0.2051, 0.2430, 0.2099, ..., -0.1293, 0.0410, 0.0105]
INFO:root:[2][315/2187] Loss_D: 0.2879 Loss_G: 2.3747 R1: 0.0496 R2: 0.0249 w_avg: [ 0.2053, 0.2431, 0.2098, ..., -0.1295, 0.0410, 0.0105]
INFO:root:[2][316/2187] Loss_D: 0.2798 Loss_G: 2.3130 R1: 0.0530 R2: 0.0359 w_avg: [ 0.2048, 0.2429, 0.2094, ..., -0.1294, 0.0408, 0.0104]
INFO:root:[2][317/2187] Loss_D: 0.1872 Loss_G: 1.8192 R1: 0.0421 R2: 0.0355 w_avg: [ 0.2046, 0.2423, 0.2093, ..., -0.1293, 0.0410, 0.0102]
INFO:root:[2][318/2187] Loss_D: 0.1837 Loss_G: 2.8206 R1: 0.0439 R2: 0.0368 w_avg: [ 0.2049, 0.2424, 0.2094, ..., -0.1294, 0.0409, 0.0102]
INFO:root:[2][319/2187] Loss_D: 0.2983 Loss_G: 1.8249 R1: 0.0432 R2: 0.0400 w_avg: [ 0.2048, 0.2426, 0.2098, ..., -0.1295, 0.0408, 0.0103]
INFO:root:[2][320/2187] Loss_D: 0.4609 Loss_G: 2.5899 R1: 0.0458 R2: 0.0495 w_avg: [ 0.2049, 0.2425, 0.2100, ..., -0.1295, 0.0408, 0.0099]
INFO:root:[2][321/2187] Loss_D: 0.3074 Loss_G: 2.8353 R1: 0.0385 R2: 0.0377 w_avg: [ 0.2047, 0.2423, 0.2096, ..., -0.1297, 0.0408, 0.0102]
INFO:root:[2][322/2187] Loss_D: 0.2665 Loss_G: 2.7197 R1: 0.0359 R2: 0.0405 w_avg: [ 0.2051, 0.2424, 0.2101, ..., -0.1297, 0.0412, 0.0101]
INFO:root:[2][323/2187] Loss_D: 0.3854 Loss_G: 2.8541 R1: 0.0406 R2: 0.0611 w_avg: [ 0.2052, 0.2424, 0.2104, ..., -0.1297, 0.0417, 0.0102]
INFO:root:[2][324/2187] Loss_D: 0.2953 Loss_G: 2.7793 R1: 0.0423 R2: 0.0386 w_avg: [ 0.2053, 0.2422, 0.2102, ..., -0.1297, 0.0416, 0.0103]
INFO:root:[2][325/2187] Loss_D: 0.3959 Loss_G: 2.4318 R1: 0.0369 R2: 0.0498 w_avg: [ 0.2050, 0.2420, 0.2099, ..., -0.1298, 0.0415, 0.0102]
INFO:root:[2][326/2187] Loss_D: 0.2604 Loss_G: 2.5415 R1: 0.0334 R2: 0.0406 w_avg: [ 0.2053, 0.2425, 0.2098, ..., -0.1297, 0.0416, 0.0102]
INFO:root:[2][327/2187] Loss_D: 0.3227 Loss_G: 2.5300 R1: 0.0378 R2: 0.0455 w_avg: [ 0.2048, 0.2427, 0.2097, ..., -0.1295, 0.0414, 0.0103]
INFO:root:[2][328/2187] Loss_D: 0.3174 Loss_G: 2.0025 R1: 0.0376 R2: 0.0462 w_avg: [ 0.2046, 0.2428, 0.2097, ..., -0.1293, 0.0414, 0.0103]
INFO:root:[2][329/2187] Loss_D: 0.4524 Loss_G: 2.6286 R1: 0.0405 R2: 0.0477 w_avg: [ 0.2047, 0.2427, 0.2098, ..., -0.1294, 0.0418, 0.0106]
INFO:root:[2][330/2187] Loss_D: 0.4188 Loss_G: 2.2368 R1: 0.0386 R2: 0.0416 w_avg: [ 0.2050, 0.2427, 0.2103, ..., -0.1293, 0.0420, 0.0102]
INFO:root:[2][331/2187] Loss_D: 0.3099 Loss_G: 2.0945 R1: 0.0402 R2: 0.0236 w_avg: [ 0.2047, 0.2429, 0.2100, ..., -0.1295, 0.0417, 0.0100]
INFO:root:[2][332/2187] Loss_D: 0.3189 Loss_G: 2.4113 R1: 0.0430 R2: 0.0267 w_avg: [ 0.2045, 0.2426, 0.2097, ..., -0.1296, 0.0418, 0.0101]
INFO:root:[2][333/2187] Loss_D: 0.4648 Loss_G: 2.5874 R1: 0.0347 R2: 0.0431 w_avg: [ 0.2054, 0.2435, 0.2102, ..., -0.1297, 0.0417, 0.0102]
INFO:root:[2][334/2187] Loss_D: 0.3763 Loss_G: 2.2032 R1: 0.0409 R2: 0.0418 w_avg: [ 0.2053, 0.2437, 0.2105, ..., -0.1297, 0.0417, 0.0102]
INFO:root:[2][335/2187] Loss_D: 0.2918 Loss_G: 2.1260 R1: 0.0430 R2: 0.0424 w_avg: [ 0.2056, 0.2440, 0.2109, ..., -0.1295, 0.0414, 0.0103]
INFO:root:[2][336/2187] Loss_D: 0.2404 Loss_G: 2.1635 R1: 0.0400 R2: 0.0428 w_avg: [ 0.2057, 0.2437, 0.2106, ..., -0.1296, 0.0412, 0.0105]
INFO:root:[2][337/2187] Loss_D: 0.3511 Loss_G: 2.1372 R1: 0.0447 R2: 0.0422 w_avg: [ 0.2055, 0.2435, 0.2102, ..., -0.1297, 0.0415, 0.0102]
INFO:root:[2][338/2187] Loss_D: 0.3871 Loss_G: 2.3842 R1: 0.0429 R2: 0.0377 w_avg: [ 0.2051, 0.2434, 0.2102, ..., -0.1297, 0.0413, 0.0103]
INFO:root:[2][339/2187] Loss_D: 0.4766 Loss_G: 2.2707 R1: 0.0419 R2: 0.0423 w_avg: [ 0.2050, 0.2431, 0.2100, ..., -0.1295, 0.0415, 0.0104]
INFO:root:[2][340/2187] Loss_D: 0.2824 Loss_G: 2.0982 R1: 0.0486 R2: 0.0307 w_avg: [ 0.2052, 0.2432, 0.2096, ..., -0.1295, 0.0418, 0.0106]
INFO:root:[2][341/2187] Loss_D: 0.2454 Loss_G: 1.9018 R1: 0.0450 R2: 0.0390 w_avg: [ 0.2048, 0.2438, 0.2095, ..., -0.1294, 0.0417, 0.0106]
INFO:root:[2][342/2187] Loss_D: 0.3896 Loss_G: 2.8825 R1: 0.0472 R2: 0.0445 w_avg: [ 0.2046, 0.2438, 0.2091, ..., -0.1295, 0.0419, 0.0108]
INFO:root:[2][343/2187] Loss_D: 0.2541 Loss_G: 2.6432 R1: 0.0475 R2: 0.0387 w_avg: [ 0.2048, 0.2443, 0.2090, ..., -0.1295, 0.0419, 0.0110]
INFO:root:[2][344/2187] Loss_D: 0.2480 Loss_G: 2.2052 R1: 0.0379 R2: 0.0336 w_avg: [ 0.2045, 0.2439, 0.2089, ..., -0.1294, 0.0417, 0.0111]
INFO:root:[2][345/2187] Loss_D: 0.3563 Loss_G: 3.0810 R1: 0.0460 R2: 0.0304 w_avg: [ 0.2047, 0.2436, 0.2092, ..., -0.1294, 0.0416, 0.0109]
INFO:root:[2][346/2187] Loss_D: 0.4156 Loss_G: 3.0423 R1: 0.0434 R2: 0.0395 w_avg: [ 0.2051, 0.2437, 0.2094, ..., -0.1293, 0.0415, 0.0109]
INFO:root:[2][347/2187] Loss_D: 0.3192 Loss_G: 2.5093 R1: 0.0417 R2: 0.0360 w_avg: [ 0.2050, 0.2439, 0.2091, ..., -0.1294, 0.0413, 0.0111]
INFO:root:[2][348/2187] Loss_D: 0.2496 Loss_G: 2.1876 R1: 0.0400 R2: 0.0466 w_avg: [ 0.2045, 0.2441, 0.2091, ..., -0.1294, 0.0411, 0.0113]
INFO:root:[2][349/2187] Loss_D: 0.2788 Loss_G: 1.5469 R1: 0.0407 R2: 0.0436 w_avg: [ 0.2047, 0.2441, 0.2092, ..., -0.1295, 0.0411, 0.0114]
INFO:root:[2][350/2187] Loss_D: 0.2934 Loss_G: 2.0986 R1: 0.0387 R2: 0.0474 w_avg: [ 0.2047, 0.2436, 0.2090, ..., -0.1296, 0.0415, 0.0113]
INFO:root:[2][351/2187] Loss_D: 0.2830 Loss_G: 2.1820 R1: 0.0442 R2: 0.0308 w_avg: [ 0.2044, 0.2433, 0.2088, ..., -0.1296, 0.0418, 0.0113]
INFO:root:[2][352/2187] Loss_D: 0.4137 Loss_G: 2.5190 R1: 0.0397 R2: 0.0365 w_avg: [ 0.2049, 0.2431, 0.2088, ..., -0.1298, 0.0420, 0.0113]
INFO:root:[2][353/2187] Loss_D: 0.3040 Loss_G: 2.3306 R1: 0.0391 R2: 0.0370 w_avg: [ 0.2049, 0.2430, 0.2087, ..., -0.1297, 0.0419, 0.0112]
INFO:root:[2][354/2187] Loss_D: 0.3913 Loss_G: 2.2862 R1: 0.0491 R2: 0.0384 w_avg: [ 0.2054, 0.2428, 0.2082, ..., -0.1299, 0.0419, 0.0115]
INFO:root:[2][355/2187] Loss_D: 0.2963 Loss_G: 2.2665 R1: 0.0449 R2: 0.0476 w_avg: [ 0.2051, 0.2430, 0.2082, ..., -0.1300, 0.0420, 0.0114]
INFO:root:[2][356/2187] Loss_D: 0.4460 Loss_G: 2.5245 R1: 0.0433 R2: 0.0464 w_avg: [ 0.2049, 0.2425, 0.2076, ..., -0.1300, 0.0421, 0.0114]
INFO:root:[2][357/2187] Loss_D: 0.2909 Loss_G: 2.7536 R1: 0.0426 R2: 0.0492 w_avg: [ 0.2050, 0.2430, 0.2073, ..., -0.1300, 0.0426, 0.0118]
INFO:root:[2][358/2187] Loss_D: 0.3383 Loss_G: 2.3131 R1: 0.0543 R2: 0.0325 w_avg: [ 0.2049, 0.2427, 0.2073, ..., -0.1300, 0.0425, 0.0117]
INFO:root:[2][359/2187] Loss_D: 0.3000 Loss_G: 3.4320 R1: 0.0398 R2: 0.0523 w_avg: [ 0.2048, 0.2427, 0.2071, ..., -0.1301, 0.0428, 0.0116]
INFO:root:[2][360/2187] Loss_D: 0.2417 Loss_G: 2.3486 R1: 0.0471 R2: 0.0378 w_avg: [ 0.2051, 0.2424, 0.2071, ..., -0.1300, 0.0428, 0.0117]
INFO:root:[2][361/2187] Loss_D: 0.2202 Loss_G: 2.9425 R1: 0.0366 R2: 0.0416 w_avg: [ 0.2049, 0.2426, 0.2070, ..., -0.1300, 0.0427, 0.0113]
INFO:root:[2][362/2187] Loss_D: 0.1660 Loss_G: 2.8351 R1: 0.0392 R2: 0.0422 w_avg: [ 0.2046, 0.2423, 0.2070, ..., -0.1301, 0.0427, 0.0113]
INFO:root:[2][363/2187] Loss_D: 0.2822 Loss_G: 2.4287 R1: 0.0424 R2: 0.0516 w_avg: [ 0.2048, 0.2427, 0.2068, ..., -0.1301, 0.0427, 0.0113]
INFO:root:[2][364/2187] Loss_D: 0.2782 Loss_G: 1.9107 R1: 0.0470 R2: 0.0360 w_avg: [ 0.2046, 0.2430, 0.2065, ..., -0.1299, 0.0426, 0.0111]
INFO:root:[2][365/2187] Loss_D: 0.3495 Loss_G: 1.9817 R1: 0.0442 R2: 0.0445 w_avg: [ 0.2043, 0.2430, 0.2065, ..., -0.1299, 0.0425, 0.0113]
INFO:root:[2][366/2187] Loss_D: 0.2894 Loss_G: 2.5858 R1: 0.0519 R2: 0.0333 w_avg: [ 0.2041, 0.2433, 0.2063, ..., -0.1299, 0.0424, 0.0111]
INFO:root:[2][367/2187] Loss_D: 0.2986 Loss_G: 2.0770 R1: 0.0502 R2: 0.0270 w_avg: [ 0.2041, 0.2428, 0.2067, ..., -0.1300, 0.0426, 0.0109]
INFO:root:[2][368/2187] Loss_D: 0.2957 Loss_G: 2.3979 R1: 0.0510 R2: 0.0338 w_avg: [ 0.2041, 0.2429, 0.2068, ..., -0.1300, 0.0424, 0.0108]
INFO:root:[2][369/2187] Loss_D: 0.3922 Loss_G: 2.6039 R1: 0.0458 R2: 0.0382 w_avg: [ 0.2042, 0.2429, 0.2068, ..., -0.1299, 0.0422, 0.0109]
INFO:root:[2][370/2187] Loss_D: 0.2168 Loss_G: 2.2591 R1: 0.0470 R2: 0.0313 w_avg: [ 0.2041, 0.2429, 0.2068, ..., -0.1297, 0.0419, 0.0109]
INFO:root:[2][371/2187] Loss_D: 0.2643 Loss_G: 2.4882 R1: 0.0470 R2: 0.0306 w_avg: [ 0.2043, 0.2429, 0.2068, ..., -0.1294, 0.0420, 0.0106]
INFO:root:[2][372/2187] Loss_D: 0.2615 Loss_G: 2.4144 R1: 0.0544 R2: 0.0414 w_avg: [ 0.2042, 0.2425, 0.2065, ..., -0.1295, 0.0420, 0.0105]
INFO:root:[2][373/2187] Loss_D: 0.2848 Loss_G: 2.3731 R1: 0.0597 R2: 0.0325 w_avg: [ 0.2041, 0.2425, 0.2066, ..., -0.1295, 0.0419, 0.0107]
INFO:root:[2][374/2187] Loss_D: 0.2233 Loss_G: 2.5063 R1: 0.0515 R2: 0.0411 w_avg: [ 0.2041, 0.2421, 0.2064, ..., -0.1294, 0.0419, 0.0108]
INFO:root:[2][375/2187] Loss_D: 0.3793 Loss_G: 2.6101 R1: 0.0538 R2: 0.0533 w_avg: [ 0.2043, 0.2418, 0.2066, ..., -0.1294, 0.0417, 0.0108]
INFO:root:[2][376/2187] Loss_D: 0.3352 Loss_G: 2.0801 R1: 0.0510 R2: 0.0390 w_avg: [ 0.2042, 0.2418, 0.2063, ..., -0.1293, 0.0414, 0.0109]
INFO:root:[2][377/2187] Loss_D: 0.3069 Loss_G: 2.5307 R1: 0.0502 R2: 0.0346 w_avg: [ 0.2045, 0.2414, 0.2057, ..., -0.1295, 0.0414, 0.0109]
INFO:root:[2][378/2187] Loss_D: 0.2842 Loss_G: 2.2098 R1: 0.0448 R2: 0.0408 w_avg: [ 0.2045, 0.2407, 0.2058, ..., -0.1294, 0.0414, 0.0109]
INFO:root:[2][379/2187] Loss_D: 0.5406 Loss_G: 2.3296 R1: 0.0481 R2: 0.0535 w_avg: [ 0.2045, 0.2404, 0.2058, ..., -0.1293, 0.0413, 0.0111]
INFO:root:[2][380/2187] Loss_D: 0.3029 Loss_G: 1.9280 R1: 0.0411 R2: 0.0289 w_avg: [ 0.2054, 0.2409, 0.2064, ..., -0.1293, 0.0415, 0.0108]
INFO:root:[2][381/2187] Loss_D: 0.3719 Loss_G: 2.1621 R1: 0.0433 R2: 0.0332 w_avg: [ 0.2049, 0.2409, 0.2063, ..., -0.1291, 0.0414, 0.0108]
INFO:root:[2][382/2187] Loss_D: 0.2438 Loss_G: 2.8212 R1: 0.0439 R2: 0.0334 w_avg: [ 0.2049, 0.2414, 0.2069, ..., -0.1290, 0.0409, 0.0109]
INFO:root:[2][383/2187] Loss_D: 0.2199 Loss_G: 2.3121 R1: 0.0451 R2: 0.0371 w_avg: [ 0.2054, 0.2413, 0.2072, ..., -0.1290, 0.0407, 0.0106]
INFO:root:[2][384/2187] Loss_D: 0.2989 Loss_G: 2.5544 R1: 0.0485 R2: 0.0349 w_avg: [ 0.2055, 0.2412, 0.2073, ..., -0.1289, 0.0403, 0.0107]
INFO:root:[2][385/2187] Loss_D: 0.1856 Loss_G: 2.5279 R1: 0.0476 R2: 0.0315 w_avg: [ 0.2058, 0.2413, 0.2078, ..., -0.1291, 0.0403, 0.0108]
INFO:root:[2][386/2187] Loss_D: 0.3568 Loss_G: 2.4511 R1: 0.0550 R2: 0.0441 w_avg: [ 0.2058, 0.2410, 0.2077, ..., -0.1291, 0.0403, 0.0106]
INFO:root:[2][387/2187] Loss_D: 0.3389 Loss_G: 2.0341 R1: 0.0446 R2: 0.0361 w_avg: [ 0.2059, 0.2408, 0.2076, ..., -0.1292, 0.0404, 0.0108]
INFO:root:[2][388/2187] Loss_D: 0.2634 Loss_G: 1.8204 R1: 0.0423 R2: 0.0483 w_avg: [ 0.2061, 0.2409, 0.2077, ..., -0.1291, 0.0407, 0.0108]
INFO:root:[2][389/2187] Loss_D: 0.3300 Loss_G: 2.7570 R1: 0.0449 R2: 0.0425 w_avg: [ 0.2062, 0.2414, 0.2077, ..., -0.1291, 0.0405, 0.0106]
INFO:root:[2][390/2187] Loss_D: 0.2514 Loss_G: 2.6955 R1: 0.0456 R2: 0.0427 w_avg: [ 0.2058, 0.2411, 0.2082, ..., -0.1289, 0.0404, 0.0104]
INFO:root:[2][391/2187] Loss_D: 0.2495 Loss_G: 2.2145 R1: 0.0410 R2: 0.0390 w_avg: [ 0.2055, 0.2410, 0.2083, ..., -0.1287, 0.0401, 0.0105]
INFO:root:[2][392/2187] Loss_D: 0.2595 Loss_G: 2.0103 R1: 0.0408 R2: 0.0455 w_avg: [ 0.2056, 0.2408, 0.2084, ..., -0.1288, 0.0405, 0.0105]
INFO:root:[2][393/2187] Loss_D: 0.4088 Loss_G: 3.4512 R1: 0.0402 R2: 0.0433 w_avg: [ 0.2052, 0.2404, 0.2082, ..., -0.1290, 0.0406, 0.0104]
INFO:root:[2][394/2187] Loss_D: 0.4615 Loss_G: 2.0490 R1: 0.0452 R2: 0.0537 w_avg: [ 0.2048, 0.2405, 0.2082, ..., -0.1290, 0.0406, 0.0103]
INFO:root:[2][395/2187] Loss_D: 0.5495 Loss_G: 2.0384 R1: 0.0358 R2: 0.0540 w_avg: [ 0.2043, 0.2404, 0.2079, ..., -0.1292, 0.0403, 0.0103]
INFO:root:[2][396/2187] Loss_D: 0.3037 Loss_G: 2.4836 R1: 0.0442 R2: 0.0441 w_avg: [ 0.2041, 0.2400, 0.2078, ..., -0.1293, 0.0403, 0.0102]
INFO:root:[2][397/2187] Loss_D: 0.4247 Loss_G: 2.3434 R1: 0.0384 R2: 0.0327 w_avg: [ 0.2039, 0.2405, 0.2077, ..., -0.1291, 0.0401, 0.0101]
INFO:root:[2][398/2187] Loss_D: 0.3521 Loss_G: 1.9551 R1: 0.0497 R2: 0.0420 w_avg: [ 0.2037, 0.2405, 0.2076, ..., -0.1292, 0.0401, 0.0099]
INFO:root:[2][399/2187] Loss_D: 0.3983 Loss_G: 2.8614 R1: 0.0433 R2: 0.0397 w_avg: [ 0.2041, 0.2407, 0.2077, ..., -0.1293, 0.0400, 0.0098]
INFO:root:[2][400/2187] Loss_D: 0.2680 Loss_G: 2.2418 R1: 0.0380 R2: 0.0397 w_avg: [ 0.2036, 0.2403, 0.2072, ..., -0.1292, 0.0399, 0.0096]
INFO:root:[2][401/2187] Loss_D: 0.3301 Loss_G: 2.4519 R1: 0.0400 R2: 0.0405 w_avg: [ 0.2040, 0.2401, 0.2074, ..., -0.1291, 0.0401, 0.0096]
INFO:root:[2][402/2187] Loss_D: 0.3545 Loss_G: 3.3217 R1: 0.0562 R2: 0.0461 w_avg: [ 0.2037, 0.2402, 0.2076, ..., -0.1291, 0.0399, 0.0093]
INFO:root:[2][403/2187] Loss_D: 0.3354 Loss_G: 2.3816 R1: 0.0476 R2: 0.0337 w_avg: [ 0.2037, 0.2402, 0.2078, ..., -0.1290, 0.0399, 0.0092]
INFO:root:[2][404/2187] Loss_D: 0.3383 Loss_G: 2.1127 R1: 0.0504 R2: 0.0378 w_avg: [ 0.2036, 0.2405, 0.2076, ..., -0.1288, 0.0401, 0.0091]
INFO:root:[2][405/2187] Loss_D: 0.4449 Loss_G: 2.6533 R1: 0.0458 R2: 0.0439 w_avg: [ 0.2034, 0.2405, 0.2072, ..., -0.1288, 0.0398, 0.0090]
INFO:root:[2][406/2187] Loss_D: 0.2600 Loss_G: 2.4988 R1: 0.0344 R2: 0.0513 w_avg: [ 0.2036, 0.2408, 0.2073, ..., -0.1286, 0.0404, 0.0090]
INFO:root:[2][407/2187] Loss_D: 0.3867 Loss_G: 2.2430 R1: 0.0471 R2: 0.0511 w_avg: [ 0.2033, 0.2407, 0.2073, ..., -0.1288, 0.0404, 0.0090]
INFO:root:[2][408/2187] Loss_D: 0.3626 Loss_G: 1.9614 R1: 0.0344 R2: 0.0529 w_avg: [ 0.2033, 0.2410, 0.2067, ..., -0.1284, 0.0402, 0.0093]
INFO:root:[2][409/2187] Loss_D: 0.3569 Loss_G: 2.4335 R1: 0.0406 R2: 0.0474 w_avg: [ 0.2029, 0.2409, 0.2070, ..., -0.1285, 0.0402, 0.0094]
INFO:root:[2][410/2187] Loss_D: 0.2141 Loss_G: 2.2371 R1: 0.0408 R2: 0.0359 w_avg: [ 0.2027, 0.2409, 0.2071, ..., -0.1286, 0.0401, 0.0093]
INFO:root:[2][411/2187] Loss_D: 0.3286 Loss_G: 2.3711 R1: 0.0441 R2: 0.0399 w_avg: [ 0.2030, 0.2407, 0.2070, ..., -0.1286, 0.0408, 0.0092]
INFO:root:[2][412/2187] Loss_D: 0.2962 Loss_G: 2.1862 R1: 0.0476 R2: 0.0430 w_avg: [ 0.2026, 0.2407, 0.2069, ..., -0.1288, 0.0407, 0.0090]
INFO:root:[2][413/2187] Loss_D: 0.3159 Loss_G: 2.6819 R1: 0.0457 R2: 0.0428 w_avg: [ 0.2026, 0.2406, 0.2066, ..., -0.1286, 0.0413, 0.0090]
INFO:root:[2][414/2187] Loss_D: 0.2998 Loss_G: 2.4427 R1: 0.0479 R2: 0.0329 w_avg: [ 0.2026, 0.2409, 0.2067, ..., -0.1286, 0.0413, 0.0092]
INFO:root:[2][415/2187] Loss_D: 0.3074 Loss_G: 2.4641 R1: 0.0464 R2: 0.0452 w_avg: [ 0.2027, 0.2400, 0.2066, ..., -0.1287, 0.0418, 0.0091]
INFO:root:[2][416/2187] Loss_D: 0.3801 Loss_G: 2.4530 R1: 0.0451 R2: 0.0443 w_avg: [ 0.2025, 0.2401, 0.2068, ..., -0.1288, 0.0418, 0.0089]
INFO:root:[2][417/2187] Loss_D: 0.2609 Loss_G: 2.1169 R1: 0.0495 R2: 0.0327 w_avg: [ 0.2023, 0.2401, 0.2074, ..., -0.1288, 0.0418, 0.0091]
INFO:root:[2][418/2187] Loss_D: 0.3722 Loss_G: 2.5969 R1: 0.0483 R2: 0.0465 w_avg: [ 0.2024, 0.2401, 0.2075, ..., -0.1282, 0.0416, 0.0089]
INFO:root:[2][419/2187] Loss_D: 0.2937 Loss_G: 2.4817 R1: 0.0538 R2: 0.0382 w_avg: [ 0.2026, 0.2401, 0.2082, ..., -0.1283, 0.0415, 0.0090]
INFO:root:[2][420/2187] Loss_D: 0.2870 Loss_G: 2.8528 R1: 0.0456 R2: 0.0357 w_avg: [ 0.2025, 0.2399, 0.2086, ..., -0.1284, 0.0417, 0.0089]
INFO:root:[2][421/2187] Loss_D: 0.2214 Loss_G: 2.7295 R1: 0.0471 R2: 0.0342 w_avg: [ 0.2028, 0.2398, 0.2083, ..., -0.1283, 0.0422, 0.0091]
INFO:root:[2][422/2187] Loss_D: 0.2804 Loss_G: 2.3030 R1: 0.0421 R2: 0.0330 w_avg: [ 0.2027, 0.2396, 0.2084, ..., -0.1285, 0.0419, 0.0091]
INFO:root:[2][423/2187] Loss_D: 0.2960 Loss_G: 2.5191 R1: 0.0441 R2: 0.0456 w_avg: [ 0.2025, 0.2392, 0.2083, ..., -0.1283, 0.0415, 0.0090]
INFO:root:[2][424/2187] Loss_D: 0.1986 Loss_G: 2.4832 R1: 0.0422 R2: 0.0356 w_avg: [ 0.2024, 0.2389, 0.2083, ..., -0.1284, 0.0416, 0.0089]
INFO:root:[2][425/2187] Loss_D: 0.3611 Loss_G: 2.5630 R1: 0.0483 R2: 0.0519 w_avg: [ 0.2018, 0.2389, 0.2084, ..., -0.1284, 0.0421, 0.0086]
INFO:root:[2][426/2187] Loss_D: 0.4107 Loss_G: 2.3713 R1: 0.0451 R2: 0.0509 w_avg: [ 0.2019, 0.2386, 0.2086, ..., -0.1283, 0.0421, 0.0087]
INFO:root:[2][427/2187] Loss_D: 0.2290 Loss_G: 2.4504 R1: 0.0426 R2: 0.0477 w_avg: [ 0.2018, 0.2387, 0.2091, ..., -0.1284, 0.0421, 0.0088]
INFO:root:[2][428/2187] Loss_D: 0.3083 Loss_G: 3.1476 R1: 0.0520 R2: 0.0529 w_avg: [ 0.2016, 0.2387, 0.2089, ..., -0.1284, 0.0420, 0.0093]
INFO:root:[2][429/2187] Loss_D: 0.3763 Loss_G: 2.0257 R1: 0.0379 R2: 0.0567 w_avg: [ 0.2018, 0.2391, 0.2090, ..., -0.1281, 0.0420, 0.0096]
INFO:root:[2][430/2187] Loss_D: 0.6459 Loss_G: 2.9914 R1: 0.0435 R2: 0.0563 w_avg: [ 0.2021, 0.2393, 0.2089, ..., -0.1282, 0.0423, 0.0096]
INFO:root:[2][431/2187] Loss_D: 0.3605 Loss_G: 2.3744 R1: 0.0388 R2: 0.0292 w_avg: [ 0.2017, 0.2394, 0.2087, ..., -0.1282, 0.0422, 0.0096]
INFO:root:[2][432/2187] Loss_D: 0.3044 Loss_G: 2.3742 R1: 0.0446 R2: 0.0301 w_avg: [ 0.2017, 0.2390, 0.2087, ..., -0.1282, 0.0421, 0.0097]
INFO:root:[2][433/2187] Loss_D: 0.3666 Loss_G: 2.1894 R1: 0.0407 R2: 0.0510 w_avg: [ 0.2018, 0.2390, 0.2090, ..., -0.1283, 0.0424, 0.0095]
INFO:root:[2][434/2187] Loss_D: 0.2578 Loss_G: 2.6816 R1: 0.0479 R2: 0.0358 w_avg: [ 0.2020, 0.2384, 0.2089, ..., -0.1282, 0.0428, 0.0098]
INFO:root:[2][435/2187] Loss_D: 0.3063 Loss_G: 2.5572 R1: 0.0484 R2: 0.0372 w_avg: [ 0.2023, 0.2383, 0.2092, ..., -0.1282, 0.0427, 0.0100]
INFO:root:[2][436/2187] Loss_D: 0.2865 Loss_G: 2.3486 R1: 0.0428 R2: 0.0390 w_avg: [ 0.2022, 0.2379, 0.2089, ..., -0.1284, 0.0428, 0.0097]
INFO:root:[2][437/2187] Loss_D: 0.2843 Loss_G: 2.7318 R1: 0.0456 R2: 0.0332 w_avg: [ 0.2019, 0.2377, 0.2092, ..., -0.1285, 0.0428, 0.0097]
INFO:root:[2][438/2187] Loss_D: 0.3015 Loss_G: 2.5876 R1: 0.0476 R2: 0.0391 w_avg: [ 0.2017, 0.2379, 0.2093, ..., -0.1286, 0.0429, 0.0095]
INFO:root:[2][439/2187] Loss_D: 0.4718 Loss_G: 2.1294 R1: 0.0389 R2: 0.0536 w_avg: [ 0.2015, 0.2379, 0.2096, ..., -0.1287, 0.0427, 0.0091]
INFO:root:[2][440/2187] Loss_D: 0.3148 Loss_G: 2.4970 R1: 0.0453 R2: 0.0275 w_avg: [ 0.2011, 0.2376, 0.2093, ..., -0.1286, 0.0426, 0.0090]
INFO:root:[2][441/2187] Loss_D: 0.3328 Loss_G: 1.8442 R1: 0.0396 R2: 0.0455 w_avg: [ 0.2013, 0.2375, 0.2094, ..., -0.1287, 0.0427, 0.0089]
INFO:root:[2][442/2187] Loss_D: 0.5363 Loss_G: 2.4644 R1: 0.0481 R2: 0.0541 w_avg: [ 0.2007, 0.2374, 0.2092, ..., -0.1287, 0.0425, 0.0090]
INFO:root:[2][443/2187] Loss_D: 0.2167 Loss_G: 2.0139 R1: 0.0418 R2: 0.0294 w_avg: [ 0.2006, 0.2375, 0.2095, ..., -0.1287, 0.0425, 0.0088]
INFO:root:[2][444/2187] Loss_D: 0.2745 Loss_G: 2.4871 R1: 0.0477 R2: 0.0319 w_avg: [ 0.2006, 0.2375, 0.2092, ..., -0.1287, 0.0423, 0.0087]
INFO:root:[2][445/2187] Loss_D: 0.2050 Loss_G: 2.2792 R1: 0.0399 R2: 0.0352 w_avg: [ 0.2003, 0.2373, 0.2088, ..., -0.1287, 0.0424, 0.0094]
INFO:root:[2][446/2187] Loss_D: 0.4159 Loss_G: 2.4660 R1: 0.0466 R2: 0.0537 w_avg: [ 0.2007, 0.2374, 0.2092, ..., -0.1286, 0.0425, 0.0094]
INFO:root:[2][447/2187] Loss_D: 0.3380 Loss_G: 2.4251 R1: 0.0533 R2: 0.0332 w_avg: [ 0.2009, 0.2377, 0.2093, ..., -0.1286, 0.0427, 0.0091]
INFO:root:[2][448/2187] Loss_D: 0.3626 Loss_G: 2.4887 R1: 0.0456 R2: 0.0410 w_avg: [ 0.2006, 0.2375, 0.2093, ..., -0.1286, 0.0426, 0.0090]
INFO:root:[2][449/2187] Loss_D: 0.2282 Loss_G: 2.5804 R1: 0.0433 R2: 0.0383 w_avg: [ 0.2000, 0.2370, 0.2095, ..., -0.1286, 0.0426, 0.0088]
INFO:root:[2][450/2187] Loss_D: 0.3063 Loss_G: 2.4435 R1: 0.0485 R2: 0.0379 w_avg: [ 0.2001, 0.2373, 0.2099, ..., -0.1288, 0.0424, 0.0086]
INFO:root:[2][451/2187] Loss_D: 0.3206 Loss_G: 2.2664 R1: 0.0396 R2: 0.0484 w_avg: [ 0.2001, 0.2372, 0.2097, ..., -0.1285, 0.0424, 0.0085]
INFO:root:[2][452/2187] Loss_D: 0.3245 Loss_G: 2.2823 R1: 0.0454 R2: 0.0429 w_avg: [ 0.2005, 0.2369, 0.2096, ..., -0.1285, 0.0425, 0.0086]
INFO:root:[2][453/2187] Loss_D: 0.4536 Loss_G: 2.8703 R1: 0.0447 R2: 0.0510 w_avg: [ 0.2006, 0.2376, 0.2096, ..., -0.1283, 0.0425, 0.0088]
INFO:root:[2][454/2187] Loss_D: 0.3328 Loss_G: 2.3532 R1: 0.0449 R2: 0.0380 w_avg: [ 0.2005, 0.2380, 0.2098, ..., -0.1284, 0.0422, 0.0086]
INFO:root:[2][455/2187] Loss_D: 0.2760 Loss_G: 2.7711 R1: 0.0559 R2: 0.0355 w_avg: [ 0.2003, 0.2375, 0.2098, ..., -0.1284, 0.0423, 0.0085]
INFO:root:[2][456/2187] Loss_D: 0.2989 Loss_G: 3.1466 R1: 0.0483 R2: 0.0402 w_avg: [ 0.2001, 0.2374, 0.2101, ..., -0.1285, 0.0427, 0.0086]
INFO:root:[2][457/2187] Loss_D: 0.2782 Loss_G: 2.5888 R1: 0.0530 R2: 0.0456 w_avg: [ 0.2002, 0.2376, 0.2100, ..., -0.1286, 0.0423, 0.0084]
INFO:root:[2][458/2187] Loss_D: 0.2603 Loss_G: 2.2292 R1: 0.0441 R2: 0.0465 w_avg: [ 0.2004, 0.2377, 0.2098, ..., -0.1287, 0.0422, 0.0083]
INFO:root:[2][459/2187] Loss_D: 0.4110 Loss_G: 2.5330 R1: 0.0408 R2: 0.0507 w_avg: [ 0.2005, 0.2378, 0.2097, ..., -0.1286, 0.0421, 0.0083]
INFO:root:[2][460/2187] Loss_D: 0.3126 Loss_G: 2.1468 R1: 0.0441 R2: 0.0447 w_avg: [ 0.2004, 0.2376, 0.2094, ..., -0.1287, 0.0421, 0.0088]
INFO:root:[2][461/2187] Loss_D: 0.5267 Loss_G: 2.0458 R1: 0.0360 R2: 0.0469 w_avg: [ 0.2005, 0.2379, 0.2094, ..., -0.1288, 0.0419, 0.0089]
INFO:root:[2][462/2187] Loss_D: 0.3649 Loss_G: 2.2294 R1: 0.0386 R2: 0.0407 w_avg: [ 0.2005, 0.2379, 0.2091, ..., -0.1290, 0.0418, 0.0092]
INFO:root:[2][463/2187] Loss_D: 0.3006 Loss_G: 2.0072 R1: 0.0429 R2: 0.0309 w_avg: [ 0.2007, 0.2379, 0.2089, ..., -0.1292, 0.0420, 0.0094]
INFO:root:[2][464/2187] Loss_D: 0.2828 Loss_G: 2.9442 R1: 0.0370 R2: 0.0283 w_avg: [ 0.2010, 0.2381, 0.2088, ..., -0.1291, 0.0420, 0.0096]
INFO:root:[2][465/2187] Loss_D: 0.2687 Loss_G: 2.3139 R1: 0.0367 R2: 0.0372 w_avg: [ 0.2007, 0.2380, 0.2089, ..., -0.1291, 0.0423, 0.0094]
INFO:root:[2][466/2187] Loss_D: 0.2248 Loss_G: 2.6097 R1: 0.0379 R2: 0.0347 w_avg: [ 0.2004, 0.2380, 0.2088, ..., -0.1290, 0.0422, 0.0094]
INFO:root:[2][467/2187] Loss_D: 0.2384 Loss_G: 2.5410 R1: 0.0379 R2: 0.0310 w_avg: [ 0.2007, 0.2377, 0.2094, ..., -0.1289, 0.0422, 0.0098]
INFO:root:[2][468/2187] Loss_D: 0.5422 Loss_G: 2.3244 R1: 0.0410 R2: 0.0344 w_avg: [ 0.2007, 0.2378, 0.2093, ..., -0.1289, 0.0421, 0.0096]
INFO:root:[2][469/2187] Loss_D: 0.2552 Loss_G: 2.6314 R1: 0.0392 R2: 0.0133 w_avg: [ 0.2002, 0.2377, 0.2099, ..., -0.1290, 0.0423, 0.0094]
INFO:root:[2][470/2187] Loss_D: 0.2381 Loss_G: 2.6302 R1: 0.0362 R2: 0.0368 w_avg: [ 0.2004, 0.2377, 0.2104, ..., -0.1288, 0.0424, 0.0091]
INFO:root:[2][471/2187] Loss_D: 0.1450 Loss_G: 2.1815 R1: 0.0358 R2: 0.0324 w_avg: [ 0.2000, 0.2376, 0.2107, ..., -0.1287, 0.0424, 0.0091]
INFO:root:[2][472/2187] Loss_D: 0.3189 Loss_G: 2.6072 R1: 0.0380 R2: 0.0410 w_avg: [ 0.2001, 0.2376, 0.2110, ..., -0.1288, 0.0425, 0.0092]
INFO:root:[2][473/2187] Loss_D: 0.2509 Loss_G: 2.0513 R1: 0.0360 R2: 0.0325 w_avg: [ 0.2004, 0.2373, 0.2111, ..., -0.1289, 0.0424, 0.0092]
INFO:root:[2][474/2187] Loss_D: 0.3622 Loss_G: 2.4516 R1: 0.0330 R2: 0.0383 w_avg: [ 0.2009, 0.2374, 0.2111, ..., -0.1289, 0.0425, 0.0093]
INFO:root:[2][475/2187] Loss_D: 0.3774 Loss_G: 2.4284 R1: 0.0357 R2: 0.0361 w_avg: [ 0.2009, 0.2378, 0.2114, ..., -0.1288, 0.0425, 0.0093]
INFO:root:[2][476/2187] Loss_D: 0.3261 Loss_G: 2.8618 R1: 0.0403 R2: 0.0394 w_avg: [ 0.2008, 0.2377, 0.2113, ..., -0.1286, 0.0424, 0.0095]
INFO:root:[2][477/2187] Loss_D: 0.2479 Loss_G: 3.0799 R1: 0.0368 R2: 0.0360 w_avg: [ 0.2007, 0.2378, 0.2110, ..., -0.1286, 0.0424, 0.0094]
INFO:root:[2][478/2187] Loss_D: 0.1988 Loss_G: 3.1414 R1: 0.0353 R2: 0.0363 w_avg: [ 0.2004, 0.2376, 0.2109, ..., -0.1287, 0.0426, 0.0096]
INFO:root:[2][479/2187] Loss_D: 0.3595 Loss_G: 2.2623 R1: 0.0383 R2: 0.0409 w_avg: [ 0.2002, 0.2377, 0.2106, ..., -0.1286, 0.0425, 0.0097]
INFO:root:[2][480/2187] Loss_D: 0.2038 Loss_G: 2.0729 R1: 0.0437 R2: 0.0305 w_avg: [ 0.2005, 0.2381, 0.2107, ..., -0.1283, 0.0426, 0.0100]
INFO:root:[2][481/2187] Loss_D: 0.4100 Loss_G: 2.3722 R1: 0.0469 R2: 0.0483 w_avg: [ 0.2007, 0.2381, 0.2104, ..., -0.1283, 0.0432, 0.0098]
INFO:root:[2][482/2187] Loss_D: 0.3603 Loss_G: 1.9269 R1: 0.0417 R2: 0.0360 w_avg: [ 0.2007, 0.2376, 0.2105, ..., -0.1282, 0.0432, 0.0095]
INFO:root:[2][483/2187] Loss_D: 0.3702 Loss_G: 2.2813 R1: 0.0397 R2: 0.0442 w_avg: [ 0.2009, 0.2376, 0.2105, ..., -0.1282, 0.0436, 0.0094]
INFO:root:[2][484/2187] Loss_D: 0.3224 Loss_G: 2.1807 R1: 0.0399 R2: 0.0451 w_avg: [ 0.2006, 0.2373, 0.2106, ..., -0.1281, 0.0441, 0.0093]
INFO:root:[2][485/2187] Loss_D: 0.3280 Loss_G: 2.2493 R1: 0.0434 R2: 0.0382 w_avg: [ 0.2003, 0.2372, 0.2104, ..., -0.1280, 0.0441, 0.0093]
INFO:root:[2][486/2187] Loss_D: 0.2751 Loss_G: 1.8797 R1: 0.0431 R2: 0.0344 w_avg: [ 0.2005, 0.2374, 0.2105, ..., -0.1279, 0.0443, 0.0094]
INFO:root:[2][487/2187] Loss_D: 0.3564 Loss_G: 1.9982 R1: 0.0494 R2: 0.0326 w_avg: [ 0.2002, 0.2372, 0.2104, ..., -0.1280, 0.0441, 0.0092]
INFO:root:[2][488/2187] Loss_D: 0.3940 Loss_G: 2.0003 R1: 0.0374 R2: 0.0525 w_avg: [ 0.1998, 0.2367, 0.2103, ..., -0.1281, 0.0441, 0.0089]
INFO:root:[2][489/2187] Loss_D: 0.2486 Loss_G: 1.8112 R1: 0.0488 R2: 0.0347 w_avg: [ 0.1995, 0.2364, 0.2103, ..., -0.1282, 0.0441, 0.0092]
INFO:root:[2][490/2187] Loss_D: 0.4072 Loss_G: 1.9254 R1: 0.0447 R2: 0.0351 w_avg: [ 0.1994, 0.2363, 0.2106, ..., -0.1284, 0.0442, 0.0091]
INFO:root:[2][491/2187] Loss_D: 0.3805 Loss_G: 2.3592 R1: 0.0413 R2: 0.0422 w_avg: [ 0.1994, 0.2364, 0.2109, ..., -0.1286, 0.0442, 0.0093]
INFO:root:[2][492/2187] Loss_D: 0.2726 Loss_G: 1.9843 R1: 0.0398 R2: 0.0479 w_avg: [ 0.1993, 0.2359, 0.2109, ..., -0.1285, 0.0443, 0.0093]
INFO:root:[2][493/2187] Loss_D: 0.2767 Loss_G: 2.1215 R1: 0.0456 R2: 0.0508 w_avg: [ 0.1996, 0.2359, 0.2108, ..., -0.1285, 0.0443, 0.0092]
INFO:root:[2][494/2187] Loss_D: 0.2902 Loss_G: 2.0231 R1: 0.0441 R2: 0.0541 w_avg: [ 0.1997, 0.2359, 0.2110, ..., -0.1282, 0.0445, 0.0092]
INFO:root:[2][495/2187] Loss_D: 0.3497 Loss_G: 2.1983 R1: 0.0525 R2: 0.0257 w_avg: [ 0.2000, 0.2359, 0.2111, ..., -0.1281, 0.0447, 0.0091]
INFO:root:[2][496/2187] Loss_D: 0.3403 Loss_G: 2.3966 R1: 0.0419 R2: 0.0491 w_avg: [ 0.2003, 0.2361, 0.2119, ..., -0.1282, 0.0444, 0.0092]
INFO:root:[2][497/2187] Loss_D: 0.3894 Loss_G: 2.6170 R1: 0.0395 R2: 0.0505 w_avg: [ 0.2002, 0.2359, 0.2119, ..., -0.1282, 0.0443, 0.0090]
INFO:root:[2][498/2187] Loss_D: 0.2591 Loss_G: 2.2223 R1: 0.0380 R2: 0.0185 w_avg: [ 0.2008, 0.2355, 0.2119, ..., -0.1284, 0.0444, 0.0093]
INFO:root:[2][499/2187] Loss_D: 0.3145 Loss_G: 1.8534 R1: 0.0422 R2: 0.0364 w_avg: [ 0.2006, 0.2353, 0.2120, ..., -0.1284, 0.0443, 0.0093]
INFO:root:[2][500/2187] Loss_D: 0.3690 Loss_G: 1.7623 R1: 0.0395 R2: 0.0411 w_avg: [ 0.2006, 0.2353, 0.2121, ..., -0.1285, 0.0446, 0.0089]
INFO:root:[2][501/2187] Loss_D: 0.2534 Loss_G: 2.7128 R1: 0.0407 R2: 0.0432 w_avg: [ 0.2005, 0.2358, 0.2124, ..., -0.1284, 0.0453, 0.0091]
INFO:root:[2][502/2187] Loss_D: 0.4006 Loss_G: 2.7417 R1: 0.0403 R2: 0.0486 w_avg: [ 0.2005, 0.2354, 0.2126, ..., -0.1282, 0.0454, 0.0092]
INFO:root:[2][503/2187] Loss_D: 0.4882 Loss_G: 2.0506 R1: 0.0469 R2: 0.0418 w_avg: [ 0.2005, 0.2351, 0.2129, ..., -0.1281, 0.0453, 0.0088]
INFO:root:[2][504/2187] Loss_D: 0.2388 Loss_G: 2.5234 R1: 0.0379 R2: 0.0278 w_avg: [ 0.2006, 0.2350, 0.2130, ..., -0.1279, 0.0452, 0.0090]
INFO:root:[2][505/2187] Loss_D: 0.3660 Loss_G: 2.5537 R1: 0.0426 R2: 0.0396 w_avg: [ 0.2005, 0.2351, 0.2134, ..., -0.1278, 0.0450, 0.0093]
INFO:root:[2][506/2187] Loss_D: 0.3207 Loss_G: 2.4468 R1: 0.0472 R2: 0.0442 w_avg: [ 0.2004, 0.2351, 0.2133, ..., -0.1278, 0.0448, 0.0096]
INFO:root:[2][507/2187] Loss_D: 0.5555 Loss_G: 1.8822 R1: 0.0441 R2: 0.0338 w_avg: [ 0.2007, 0.2350, 0.2138, ..., -0.1279, 0.0448, 0.0092]
INFO:root:[2][508/2187] Loss_D: 0.3165 Loss_G: 2.1849 R1: 0.0435 R2: 0.0268 w_avg: [ 0.2003, 0.2350, 0.2138, ..., -0.1280, 0.0448, 0.0095]
INFO:root:[2][509/2187] Loss_D: 0.2601 Loss_G: 2.4356 R1: 0.0447 R2: 0.0352 w_avg: [ 0.2000, 0.2351, 0.2134, ..., -0.1281, 0.0447, 0.0097]
INFO:root:[2][510/2187] Loss_D: 0.2860 Loss_G: 1.8507 R1: 0.0483 R2: 0.0456 w_avg: [ 0.1998, 0.2352, 0.2132, ..., -0.1280, 0.0449, 0.0097]
INFO:root:[2][511/2187] Loss_D: 0.4150 Loss_G: 2.1109 R1: 0.0413 R2: 0.0523 w_avg: [ 0.1995, 0.2352, 0.2128, ..., -0.1275, 0.0449, 0.0097]
INFO:root:[2][512/2187] Loss_D: 0.3109 Loss_G: 2.2572 R1: 0.0404 R2: 0.0430 w_avg: [ 0.2002, 0.2355, 0.2131, ..., -0.1277, 0.0454, 0.0103]
INFO:root:[2][513/2187] Loss_D: 0.4183 Loss_G: 2.3897 R1: 0.0429 R2: 0.0502 w_avg: [ 0.2001, 0.2357, 0.2129, ..., -0.1279, 0.0454, 0.0104]
INFO:root:[2][514/2187] Loss_D: 0.3956 Loss_G: 2.8309 R1: 0.0478 R2: 0.0331 w_avg: [ 0.2000, 0.2356, 0.2127, ..., -0.1278, 0.0452, 0.0104]
INFO:root:[2][515/2187] Loss_D: 0.2699 Loss_G: 1.9991 R1: 0.0459 R2: 0.0359 w_avg: [ 0.1998, 0.2355, 0.2128, ..., -0.1278, 0.0449, 0.0104]
INFO:root:[2][516/2187] Loss_D: 0.3751 Loss_G: 2.6768 R1: 0.0417 R2: 0.0473 w_avg: [ 0.1996, 0.2354, 0.2126, ..., -0.1280, 0.0450, 0.0105]
INFO:root:[2][517/2187] Loss_D: 0.4169 Loss_G: 2.3024 R1: 0.0487 R2: 0.0480 w_avg: [ 0.1999, 0.2352, 0.2123, ..., -0.1279, 0.0450, 0.0110]
INFO:root:[2][518/2187] Loss_D: 0.2994 Loss_G: 2.6426 R1: 0.0470 R2: 0.0365 w_avg: [ 0.1996, 0.2347, 0.2125, ..., -0.1280, 0.0450, 0.0108]
INFO:root:[2][519/2187] Loss_D: 0.3033 Loss_G: 2.1251 R1: 0.0477 R2: 0.0339 w_avg: [ 0.1997, 0.2345, 0.2128, ..., -0.1282, 0.0448, 0.0107]
INFO:root:[2][520/2187] Loss_D: 0.4023 Loss_G: 2.2381 R1: 0.0392 R2: 0.0384 w_avg: [ 0.1998, 0.2345, 0.2124, ..., -0.1280, 0.0450, 0.0107]
INFO:root:[2][521/2187] Loss_D: 0.2817 Loss_G: 2.2831 R1: 0.0458 R2: 0.0464 w_avg: [ 0.1995, 0.2346, 0.2123, ..., -0.1277, 0.0451, 0.0106]
INFO:root:[2][522/2187] Loss_D: 0.3328 Loss_G: 2.3626 R1: 0.0467 R2: 0.0392 w_avg: [ 0.1994, 0.2343, 0.2123, ..., -0.1277, 0.0448, 0.0106]
INFO:root:[2][523/2187] Loss_D: 0.3122 Loss_G: 2.3190 R1: 0.0462 R2: 0.0557 w_avg: [ 0.1994, 0.2345, 0.2117, ..., -0.1277, 0.0448, 0.0109]
INFO:root:[2][524/2187] Loss_D: 0.3256 Loss_G: 2.2684 R1: 0.0408 R2: 0.0484 w_avg: [ 0.1996, 0.2347, 0.2116, ..., -0.1274, 0.0448, 0.0109]
INFO:root:[2][525/2187] Loss_D: 0.2588 Loss_G: 1.9284 R1: 0.0398 R2: 0.0274 w_avg: [ 0.1998, 0.2350, 0.2116, ..., -0.1276, 0.0450, 0.0111]
INFO:root:[2][526/2187] Loss_D: 0.3230 Loss_G: 2.5188 R1: 0.0430 R2: 0.0348 w_avg: [ 0.1997, 0.2352, 0.2120, ..., -0.1277, 0.0448, 0.0117]
INFO:root:[2][527/2187] Loss_D: 0.3020 Loss_G: 2.1367 R1: 0.0486 R2: 0.0453 w_avg: [ 0.1995, 0.2354, 0.2119, ..., -0.1276, 0.0447, 0.0114]
INFO:root:[2][528/2187] Loss_D: 0.4535 Loss_G: 1.8671 R1: 0.0413 R2: 0.0478 w_avg: [ 0.1998, 0.2358, 0.2124, ..., -0.1275, 0.0443, 0.0114]
INFO:root:[2][529/2187] Loss_D: 0.3562 Loss_G: 2.0068 R1: 0.0436 R2: 0.0297 w_avg: [ 0.1995, 0.2358, 0.2124, ..., -0.1273, 0.0445, 0.0115]
INFO:root:[2][530/2187] Loss_D: 0.3349 Loss_G: 2.7238 R1: 0.0513 R2: 0.0373 w_avg: [ 0.1993, 0.2359, 0.2127, ..., -0.1274, 0.0444, 0.0116]
INFO:root:[2][531/2187] Loss_D: 0.3206 Loss_G: 2.6707 R1: 0.0493 R2: 0.0469 w_avg: [ 0.1993, 0.2361, 0.2122, ..., -0.1274, 0.0448, 0.0116]
INFO:root:[2][532/2187] Loss_D: 0.2540 Loss_G: 2.2488 R1: 0.0473 R2: 0.0421 w_avg: [ 0.1997, 0.2364, 0.2124, ..., -0.1275, 0.0446, 0.0118]
INFO:root:[2][533/2187] Loss_D: 0.2968 Loss_G: 2.4990 R1: 0.0446 R2: 0.0414 w_avg: [ 0.1993, 0.2363, 0.2127, ..., -0.1277, 0.0445, 0.0113]
INFO:root:[2][534/2187] Loss_D: 0.2580 Loss_G: 1.8559 R1: 0.0470 R2: 0.0444 w_avg: [ 0.1998, 0.2365, 0.2124, ..., -0.1278, 0.0446, 0.0118]
INFO:root:[2][535/2187] Loss_D: 0.4673 Loss_G: 1.8362 R1: 0.0447 R2: 0.0480 w_avg: [ 0.1999, 0.2364, 0.2125, ..., -0.1278, 0.0444, 0.0116]
INFO:root:[2][536/2187] Loss_D: 0.3408 Loss_G: 2.3507 R1: 0.0491 R2: 0.0303 w_avg: [ 0.2003, 0.2365, 0.2122, ..., -0.1274, 0.0444, 0.0117]
INFO:root:[2][537/2187] Loss_D: 0.2323 Loss_G: 2.6267 R1: 0.0488 R2: 0.0276 w_avg: [ 0.2003, 0.2361, 0.2120, ..., -0.1275, 0.0444, 0.0123]
INFO:root:[2][538/2187] Loss_D: 0.2715 Loss_G: 2.5206 R1: 0.0422 R2: 0.0389 w_avg: [ 0.2002, 0.2362, 0.2125, ..., -0.1274, 0.0443, 0.0121]
INFO:root:[2][539/2187] Loss_D: 0.2617 Loss_G: 2.6328 R1: 0.0450 R2: 0.0349 w_avg: [ 0.2006, 0.2360, 0.2129, ..., -0.1276, 0.0447, 0.0122]
INFO:root:[2][540/2187] Loss_D: 0.1744 Loss_G: 2.6513 R1: 0.0396 R2: 0.0325 w_avg: [ 0.2007, 0.2360, 0.2130, ..., -0.1276, 0.0450, 0.0119]
INFO:root:[2][541/2187] Loss_D: 0.1918 Loss_G: 2.5538 R1: 0.0444 R2: 0.0397 w_avg: [ 0.2004, 0.2359, 0.2131, ..., -0.1277, 0.0452, 0.0121]
INFO:root:[2][542/2187] Loss_D: 0.3817 Loss_G: 2.2629 R1: 0.0393 R2: 0.0509 w_avg: [ 0.2007, 0.2360, 0.2132, ..., -0.1277, 0.0452, 0.0124]
INFO:root:[2][543/2187] Loss_D: 0.2233 Loss_G: 1.8550 R1: 0.0490 R2: 0.0231 w_avg: [ 0.2005, 0.2366, 0.2130, ..., -0.1278, 0.0450, 0.0127]
INFO:root:[2][544/2187] Loss_D: 0.2374 Loss_G: 2.6036 R1: 0.0527 R2: 0.0305 w_avg: [ 0.2005, 0.2366, 0.2128, ..., -0.1276, 0.0449, 0.0126]
INFO:root:[2][545/2187] Loss_D: 0.4761 Loss_G: 2.3038 R1: 0.0496 R2: 0.0398 w_avg: [ 0.2003, 0.2366, 0.2126, ..., -0.1277, 0.0451, 0.0125]
INFO:root:[2][546/2187] Loss_D: 0.3251 Loss_G: 2.2899 R1: 0.0411 R2: 0.0462 w_avg: [ 0.2004, 0.2363, 0.2128, ..., -0.1277, 0.0449, 0.0126]
INFO:root:[2][547/2187] Loss_D: 0.2333 Loss_G: 2.6592 R1: 0.0461 R2: 0.0458 w_avg: [ 0.2005, 0.2360, 0.2129, ..., -0.1277, 0.0447, 0.0125]
INFO:root:[2][548/2187] Loss_D: 0.4233 Loss_G: 2.4971 R1: 0.0424 R2: 0.0392 w_avg: [ 0.2007, 0.2360, 0.2134, ..., -0.1275, 0.0445, 0.0124]
INFO:root:[2][549/2187] Loss_D: 0.2308 Loss_G: 2.4786 R1: 0.0503 R2: 0.0373 w_avg: [ 0.2009, 0.2362, 0.2136, ..., -0.1274, 0.0446, 0.0122]
INFO:root:[2][550/2187] Loss_D: 0.3759 Loss_G: 2.5406 R1: 0.0544 R2: 0.0348 w_avg: [ 0.2005, 0.2359, 0.2131, ..., -0.1273, 0.0445, 0.0123]
INFO:root:[2][551/2187] Loss_D: 0.3492 Loss_G: 2.6004 R1: 0.0424 R2: 0.0528 w_avg: [ 0.2008, 0.2362, 0.2132, ..., -0.1273, 0.0442, 0.0124]
INFO:root:[2][552/2187] Loss_D: 0.3453 Loss_G: 2.4781 R1: 0.0436 R2: 0.0361 w_avg: [ 0.2008, 0.2359, 0.2131, ..., -0.1275, 0.0442, 0.0124]
INFO:root:[2][553/2187] Loss_D: 0.2592 Loss_G: 2.0974 R1: 0.0398 R2: 0.0358 w_avg: [ 0.2004, 0.2359, 0.2131, ..., -0.1275, 0.0440, 0.0125]
INFO:root:[2][554/2187] Loss_D: 0.3416 Loss_G: 2.6256 R1: 0.0348 R2: 0.0412 w_avg: [ 0.2001, 0.2359, 0.2134, ..., -0.1273, 0.0442, 0.0123]
INFO:root:[2][555/2187] Loss_D: 0.2265 Loss_G: 2.9810 R1: 0.0440 R2: 0.0332 w_avg: [ 0.1999, 0.2356, 0.2135, ..., -0.1275, 0.0446, 0.0122]
INFO:root:[2][556/2187] Loss_D: 0.2135 Loss_G: 2.7590 R1: 0.0323 R2: 0.0515 w_avg: [ 0.1997, 0.2357, 0.2135, ..., -0.1275, 0.0443, 0.0123]
INFO:root:[2][557/2187] Loss_D: 0.2934 Loss_G: 2.3353 R1: 0.0317 R2: 0.0640 w_avg: [ 0.1994, 0.2355, 0.2133, ..., -0.1276, 0.0442, 0.0119]
INFO:root:[2][558/2187] Loss_D: 0.2846 Loss_G: 2.6081 R1: 0.0455 R2: 0.0231 w_avg: [ 0.1990, 0.2354, 0.2132, ..., -0.1277, 0.0446, 0.0118]
INFO:root:[2][559/2187] Loss_D: 0.4295 Loss_G: 2.4088 R1: 0.0387 R2: 0.0410 w_avg: [ 0.1993, 0.2350, 0.2132, ..., -0.1277, 0.0445, 0.0116]
INFO:root:[2][560/2187] Loss_D: 0.3367 Loss_G: 2.6053 R1: 0.0430 R2: 0.0217 w_avg: [ 0.1991, 0.2350, 0.2132, ..., -0.1277, 0.0448, 0.0115]
INFO:root:[2][561/2187] Loss_D: 0.3416 Loss_G: 2.2185 R1: 0.0439 R2: 0.0382 w_avg: [ 0.1990, 0.2350, 0.2134, ..., -0.1277, 0.0452, 0.0114]
INFO:root:[2][562/2187] Loss_D: 0.3401 Loss_G: 2.3122 R1: 0.0450 R2: 0.0379 w_avg: [ 0.1991, 0.2350, 0.2134, ..., -0.1278, 0.0453, 0.0111]
INFO:root:[2][563/2187] Loss_D: 0.3474 Loss_G: 2.3991 R1: 0.0415 R2: 0.0287 w_avg: [ 0.1991, 0.2345, 0.2130, ..., -0.1278, 0.0462, 0.0109]
INFO:root:[2][564/2187] Loss_D: 0.4552 Loss_G: 2.3300 R1: 0.0479 R2: 0.0285 w_avg: [ 0.1991, 0.2342, 0.2127, ..., -0.1278, 0.0463, 0.0108]
INFO:root:[2][565/2187] Loss_D: 0.3095 Loss_G: 2.1303 R1: 0.0378 R2: 0.0247 w_avg: [ 0.1993, 0.2339, 0.2125, ..., -0.1278, 0.0465, 0.0114]
INFO:root:[2][566/2187] Loss_D: 0.4896 Loss_G: 2.4991 R1: 0.0445 R2: 0.0334 w_avg: [ 0.1993, 0.2340, 0.2125, ..., -0.1279, 0.0465, 0.0113]
INFO:root:[2][567/2187] Loss_D: 0.3745 Loss_G: 1.8639 R1: 0.0414 R2: 0.0476 w_avg: [ 0.1990, 0.2342, 0.2123, ..., -0.1280, 0.0467, 0.0113]
INFO:root:[2][568/2187] Loss_D: 0.4055 Loss_G: 2.2148 R1: 0.0465 R2: 0.0370 w_avg: [ 0.1988, 0.2343, 0.2122, ..., -0.1281, 0.0465, 0.0115]
INFO:root:[2][569/2187] Loss_D: 0.3377 Loss_G: 2.0749 R1: 0.0416 R2: 0.0392 w_avg: [ 0.1986, 0.2343, 0.2124, ..., -0.1280, 0.0467, 0.0114]
INFO:root:[2][570/2187] Loss_D: 0.3335 Loss_G: 2.8073 R1: 0.0446 R2: 0.0291 w_avg: [ 0.1988, 0.2343, 0.2130, ..., -0.1279, 0.0466, 0.0113]
INFO:root:[2][571/2187] Loss_D: 0.3066 Loss_G: 2.6356 R1: 0.0401 R2: 0.0353 w_avg: [ 0.1993, 0.2342, 0.2129, ..., -0.1279, 0.0462, 0.0114]
INFO:root:[2][572/2187] Loss_D: 0.3031 Loss_G: 1.9461 R1: 0.0338 R2: 0.0573 w_avg: [ 0.1988, 0.2342, 0.2126, ..., -0.1279, 0.0465, 0.0114]
INFO:root:[2][573/2187] Loss_D: 0.5243 Loss_G: 2.5909 R1: 0.0483 R2: 0.0299 w_avg: [ 0.1990, 0.2338, 0.2124, ..., -0.1280, 0.0463, 0.0113]
INFO:root:[2][574/2187] Loss_D: 0.2146 Loss_G: 2.9327 R1: 0.0463 R2: 0.0278 w_avg: [ 0.1991, 0.2337, 0.2125, ..., -0.1282, 0.0466, 0.0114]
INFO:root:[2][575/2187] Loss_D: 0.3206 Loss_G: 2.1373 R1: 0.0435 R2: 0.0396 w_avg: [ 0.1993, 0.2338, 0.2127, ..., -0.1282, 0.0464, 0.0114]
INFO:root:[2][576/2187] Loss_D: 0.3480 Loss_G: 2.9611 R1: 0.0425 R2: 0.0416 w_avg: [ 0.1990, 0.2334, 0.2129, ..., -0.1282, 0.0463, 0.0112]
INFO:root:[2][577/2187] Loss_D: 0.3224 Loss_G: 2.7172 R1: 0.0358 R2: 0.0396 w_avg: [ 0.1997, 0.2335, 0.2130, ..., -0.1284, 0.0466, 0.0110]
INFO:root:[2][578/2187] Loss_D: 0.3679 Loss_G: 3.3415 R1: 0.0412 R2: 0.0517 w_avg: [ 0.1996, 0.2341, 0.2129, ..., -0.1285, 0.0468, 0.0109]
INFO:root:[2][579/2187] Loss_D: 0.5248 Loss_G: 3.1586 R1: 0.0448 R2: 0.0459 w_avg: [ 0.1996, 0.2339, 0.2126, ..., -0.1284, 0.0471, 0.0108]
INFO:root:[2][580/2187] Loss_D: 0.2020 Loss_G: 3.0806 R1: 0.0360 R2: 0.0411 w_avg: [ 0.1997, 0.2340, 0.2124, ..., -0.1285, 0.0471, 0.0105]
INFO:root:[2][581/2187] Loss_D: 0.2381 Loss_G: 2.0048 R1: 0.0369 R2: 0.0425 w_avg: [ 0.1991, 0.2342, 0.2124, ..., -0.1286, 0.0469, 0.0104]
INFO:root:[2][582/2187] Loss_D: 0.2988 Loss_G: 2.7905 R1: 0.0405 R2: 0.0453 w_avg: [ 0.1994, 0.2339, 0.2122, ..., -0.1286, 0.0471, 0.0103]
INFO:root:[2][583/2187] Loss_D: 0.4555 Loss_G: 2.6221 R1: 0.0447 R2: 0.0554 w_avg: [ 0.1994, 0.2333, 0.2121, ..., -0.1286, 0.0475, 0.0101]
INFO:root:[2][584/2187] Loss_D: 0.3372 Loss_G: 2.5941 R1: 0.0427 R2: 0.0343 w_avg: [ 0.1995, 0.2333, 0.2124, ..., -0.1288, 0.0476, 0.0101]
INFO:root:[2][585/2187] Loss_D: 0.3951 Loss_G: 2.3302 R1: 0.0472 R2: 0.0410 w_avg: [ 0.1995, 0.2334, 0.2126, ..., -0.1286, 0.0478, 0.0101]
INFO:root:[2][586/2187] Loss_D: 0.8876 Loss_G: 2.4598 R1: 0.0489 R2: 0.0590 w_avg: [ 0.1993, 0.2334, 0.2121, ..., -0.1284, 0.0475, 0.0103]
INFO:root:[2][587/2187] Loss_D: 0.2582 Loss_G: 2.2272 R1: 0.0403 R2: 0.0182 w_avg: [ 0.1993, 0.2335, 0.2120, ..., -0.1284, 0.0473, 0.0104]
INFO:root:[2][588/2187] Loss_D: 0.3015 Loss_G: 2.4359 R1: 0.0420 R2: 0.0319 w_avg: [ 0.1990, 0.2333, 0.2118, ..., -0.1283, 0.0473, 0.0104]
INFO:root:[2][589/2187] Loss_D: 0.2262 Loss_G: 1.8688 R1: 0.0392 R2: 0.0295 w_avg: [ 0.1988, 0.2336, 0.2120, ..., -0.1283, 0.0472, 0.0103]
INFO:root:[2][590/2187] Loss_D: 0.3818 Loss_G: 2.7425 R1: 0.0388 R2: 0.0442 w_avg: [ 0.1991, 0.2336, 0.2121, ..., -0.1284, 0.0472, 0.0101]
INFO:root:[2][591/2187] Loss_D: 0.4209 Loss_G: 2.1086 R1: 0.0509 R2: 0.0347 w_avg: [ 0.1991, 0.2338, 0.2123, ..., -0.1284, 0.0470, 0.0101]
INFO:root:[2][592/2187] Loss_D: 0.3018 Loss_G: 2.0711 R1: 0.0386 R2: 0.0397 w_avg: [ 0.1995, 0.2341, 0.2122, ..., -0.1286, 0.0470, 0.0101]
INFO:root:[2][593/2187] Loss_D: 0.3264 Loss_G: 2.2891 R1: 0.0390 R2: 0.0380 w_avg: [ 0.1993, 0.2343, 0.2122, ..., -0.1284, 0.0470, 0.0103]
INFO:root:[2][594/2187] Loss_D: 0.4515 Loss_G: 2.0850 R1: 0.0337 R2: 0.0458 w_avg: [ 0.1994, 0.2344, 0.2122, ..., -0.1281, 0.0472, 0.0105]
INFO:root:[2][595/2187] Loss_D: 0.3890 Loss_G: 2.6058 R1: 0.0341 R2: 0.0470 w_avg: [ 0.1994, 0.2341, 0.2121, ..., -0.1280, 0.0470, 0.0105]
INFO:root:[2][596/2187] Loss_D: 0.3110 Loss_G: 2.2206 R1: 0.0437 R2: 0.0428 w_avg: [ 0.1993, 0.2336, 0.2123, ..., -0.1280, 0.0474, 0.0104]
INFO:root:[2][597/2187] Loss_D: 0.4006 Loss_G: 2.6726 R1: 0.0399 R2: 0.0580 w_avg: [ 0.1991, 0.2335, 0.2125, ..., -0.1280, 0.0475, 0.0102]
INFO:root:[2][598/2187] Loss_D: 0.3676 Loss_G: 2.6445 R1: 0.0429 R2: 0.0357 w_avg: [ 0.1989, 0.2337, 0.2127, ..., -0.1282, 0.0475, 0.0103]
INFO:root:[2][599/2187] Loss_D: 0.2054 Loss_G: 2.2334 R1: 0.0416 R2: 0.0291 w_avg: [ 0.1987, 0.2338, 0.2129, ..., -0.1282, 0.0474, 0.0103]
INFO:root:[2][600/2187] Loss_D: 0.3255 Loss_G: 2.7104 R1: 0.0418 R2: 0.0439 w_avg: [ 0.1983, 0.2337, 0.2132, ..., -0.1280, 0.0470, 0.0103]
INFO:root:[2][601/2187] Loss_D: 0.2833 Loss_G: 2.2620 R1: 0.0436 R2: 0.0285 w_avg: [ 0.1988, 0.2336, 0.2131, ..., -0.1282, 0.0469, 0.0102]
INFO:root:[2][602/2187] Loss_D: 0.2482 Loss_G: 2.8160 R1: 0.0473 R2: 0.0307 w_avg: [ 0.1989, 0.2333, 0.2132, ..., -0.1284, 0.0468, 0.0104]
INFO:root:[2][603/2187] Loss_D: 0.2714 Loss_G: 2.5118 R1: 0.0548 R2: 0.0402 w_avg: [ 0.1991, 0.2330, 0.2131, ..., -0.1285, 0.0469, 0.0101]
INFO:root:[2][604/2187] Loss_D: 0.3699 Loss_G: 2.3312 R1: 0.0433 R2: 0.0452 w_avg: [ 0.1987, 0.2327, 0.2130, ..., -0.1283, 0.0470, 0.0101]
INFO:root:[2][605/2187] Loss_D: 0.2850 Loss_G: 2.3209 R1: 0.0472 R2: 0.0415 w_avg: [ 0.1983, 0.2329, 0.2128, ..., -0.1285, 0.0467, 0.0102]
INFO:root:[2][606/2187] Loss_D: 0.3605 Loss_G: 1.6615 R1: 0.0399 R2: 0.0491 w_avg: [ 0.1984, 0.2329, 0.2124, ..., -0.1286, 0.0469, 0.0105]
INFO:root:[2][607/2187] Loss_D: 0.4029 Loss_G: 2.0952 R1: 0.0441 R2: 0.0385 w_avg: [ 0.1983, 0.2326, 0.2124, ..., -0.1287, 0.0470, 0.0103]
INFO:root:[2][608/2187] Loss_D: 0.3143 Loss_G: 2.0482 R1: 0.0435 R2: 0.0359 w_avg: [ 0.1980, 0.2325, 0.2123, ..., -0.1285, 0.0469, 0.0102]
INFO:root:[2][609/2187] Loss_D: 0.3758 Loss_G: 2.2471 R1: 0.0381 R2: 0.0209 w_avg: [ 0.1980, 0.2324, 0.2120, ..., -0.1285, 0.0468, 0.0102]
INFO:root:[2][610/2187] Loss_D: 0.3722 Loss_G: 2.7809 R1: 0.0481 R2: 0.0282 w_avg: [ 0.1980, 0.2321, 0.2118, ..., -0.1283, 0.0472, 0.0103]
INFO:root:[2][611/2187] Loss_D: 0.3813 Loss_G: 1.9455 R1: 0.0479 R2: 0.0359 w_avg: [ 0.1979, 0.2316, 0.2115, ..., -0.1283, 0.0479, 0.0100]
INFO:root:[2][612/2187] Loss_D: 0.3030 Loss_G: 2.0784 R1: 0.0514 R2: 0.0378 w_avg: [ 0.1979, 0.2316, 0.2114, ..., -0.1284, 0.0483, 0.0098]
INFO:root:[2][613/2187] Loss_D: 0.3531 Loss_G: 2.5125 R1: 0.0538 R2: 0.0363 w_avg: [ 0.1980, 0.2316, 0.2116, ..., -0.1283, 0.0480, 0.0097]
INFO:root:[2][614/2187] Loss_D: 0.2270 Loss_G: 1.9937 R1: 0.0475 R2: 0.0274 w_avg: [ 0.1978, 0.2317, 0.2118, ..., -0.1281, 0.0477, 0.0093]
INFO:root:[2][615/2187] Loss_D: 0.3871 Loss_G: 2.0398 R1: 0.0432 R2: 0.0343 w_avg: [ 0.1977, 0.2316, 0.2120, ..., -0.1283, 0.0480, 0.0090]
INFO:root:[2][616/2187] Loss_D: 0.2152 Loss_G: 2.5249 R1: 0.0339 R2: 0.0470 w_avg: [ 0.1974, 0.2316, 0.2123, ..., -0.1284, 0.0479, 0.0087]
INFO:root:[2][617/2187] Loss_D: 0.4284 Loss_G: 2.1969 R1: 0.0393 R2: 0.0504 w_avg: [ 0.1970, 0.2312, 0.2121, ..., -0.1285, 0.0481, 0.0089]
INFO:root:[2][618/2187] Loss_D: 0.1986 Loss_G: 2.1436 R1: 0.0384 R2: 0.0359 w_avg: [ 0.1969, 0.2316, 0.2122, ..., -0.1286, 0.0481, 0.0086]
INFO:root:[2][619/2187] Loss_D: 0.3203 Loss_G: 2.3971 R1: 0.0446 R2: 0.0367 w_avg: [ 0.1968, 0.2312, 0.2120, ..., -0.1286, 0.0480, 0.0087]
INFO:root:[2][620/2187] Loss_D: 0.3290 Loss_G: 2.6518 R1: 0.0487 R2: 0.0446 w_avg: [ 0.1966, 0.2313, 0.2119, ..., -0.1288, 0.0478, 0.0085]
INFO:root:[2][621/2187] Loss_D: 0.3898 Loss_G: 2.2015 R1: 0.0476 R2: 0.0458 w_avg: [ 0.1969, 0.2314, 0.2121, ..., -0.1288, 0.0481, 0.0089]
INFO:root:[2][622/2187] Loss_D: 0.2152 Loss_G: 2.6065 R1: 0.0430 R2: 0.0315 w_avg: [ 0.1973, 0.2312, 0.2122, ..., -0.1285, 0.0479, 0.0092]
INFO:root:[2][623/2187] Loss_D: 0.3654 Loss_G: 2.6288 R1: 0.0467 R2: 0.0469 w_avg: [ 0.1972, 0.2313, 0.2118, ..., -0.1285, 0.0482, 0.0093]
INFO:root:[2][624/2187] Loss_D: 0.2142 Loss_G: 2.6924 R1: 0.0389 R2: 0.0294 w_avg: [ 0.1975, 0.2311, 0.2120, ..., -0.1285, 0.0481, 0.0092]
INFO:root:[2][625/2187] Loss_D: 0.3016 Loss_G: 2.7104 R1: 0.0488 R2: 0.0352 w_avg: [ 0.1971, 0.2314, 0.2119, ..., -0.1286, 0.0480, 0.0094]
INFO:root:[2][626/2187] Loss_D: 0.2204 Loss_G: 2.6975 R1: 0.0470 R2: 0.0424 w_avg: [ 0.1970, 0.2311, 0.2116, ..., -0.1286, 0.0485, 0.0092]
INFO:root:[2][627/2187] Loss_D: 0.2717 Loss_G: 2.8100 R1: 0.0428 R2: 0.0434 w_avg: [ 0.1971, 0.2309, 0.2116, ..., -0.1287, 0.0485, 0.0094]
INFO:root:[2][628/2187] Loss_D: 0.2743 Loss_G: 2.6059 R1: 0.0444 R2: 0.0416 w_avg: [ 0.1972, 0.2307, 0.2118, ..., -0.1287, 0.0482, 0.0092]
INFO:root:[2][629/2187] Loss_D: 0.2686 Loss_G: 2.5833 R1: 0.0441 R2: 0.0274 w_avg: [ 0.1971, 0.2305, 0.2116, ..., -0.1288, 0.0481, 0.0093]
INFO:root:[2][630/2187] Loss_D: 0.2405 Loss_G: 2.8664 R1: 0.0414 R2: 0.0369 w_avg: [ 0.1969, 0.2306, 0.2116, ..., -0.1289, 0.0480, 0.0093]
INFO:root:[2][631/2187] Loss_D: 0.2066 Loss_G: 2.6462 R1: 0.0422 R2: 0.0381 w_avg: [ 0.1970, 0.2303, 0.2117, ..., -0.1289, 0.0478, 0.0093]
INFO:root:[2][632/2187] Loss_D: 0.2565 Loss_G: 2.9493 R1: 0.0416 R2: 0.0419 w_avg: [ 0.1972, 0.2306, 0.2118, ..., -0.1289, 0.0478, 0.0094]
INFO:root:[2][633/2187] Loss_D: 0.2654 Loss_G: 2.8835 R1: 0.0370 R2: 0.0476 w_avg: [ 0.1970, 0.2304, 0.2121, ..., -0.1290, 0.0478, 0.0092]
INFO:root:[2][634/2187] Loss_D: 0.3213 Loss_G: 2.3162 R1: 0.0454 R2: 0.0480 w_avg: [ 0.1971, 0.2307, 0.2122, ..., -0.1291, 0.0476, 0.0094]
INFO:root:[2][635/2187] Loss_D: 0.3329 Loss_G: 3.2202 R1: 0.0505 R2: 0.0425 w_avg: [ 0.1973, 0.2305, 0.2124, ..., -0.1292, 0.0476, 0.0093]
INFO:root:[2][636/2187] Loss_D: 0.3477 Loss_G: 2.3536 R1: 0.0507 R2: 0.0344 w_avg: [ 0.1973, 0.2305, 0.2124, ..., -0.1292, 0.0476, 0.0092]
INFO:root:[2][637/2187] Loss_D: 0.1994 Loss_G: 2.1908 R1: 0.0464 R2: 0.0369 w_avg: [ 0.1969, 0.2300, 0.2122, ..., -0.1292, 0.0474, 0.0093]
INFO:root:[2][638/2187] Loss_D: 0.4108 Loss_G: 2.8777 R1: 0.0521 R2: 0.0436 w_avg: [ 0.1966, 0.2298, 0.2121, ..., -0.1292, 0.0474, 0.0097]
INFO:root:[2][639/2187] Loss_D: 0.2341 Loss_G: 2.8044 R1: 0.0488 R2: 0.0388 w_avg: [ 0.1964, 0.2296, 0.2122, ..., -0.1291, 0.0473, 0.0098]
INFO:root:[2][640/2187] Loss_D: 0.3473 Loss_G: 2.2409 R1: 0.0444 R2: 0.0367 w_avg: [ 0.1963, 0.2293, 0.2122, ..., -0.1291, 0.0475, 0.0099]
INFO:root:[2][641/2187] Loss_D: 0.4290 Loss_G: 2.6466 R1: 0.0512 R2: 0.0452 w_avg: [ 0.1961, 0.2290, 0.2120, ..., -0.1290, 0.0476, 0.0098]
INFO:root:[2][642/2187] Loss_D: 0.2000 Loss_G: 2.2505 R1: 0.0418 R2: 0.0232 w_avg: [ 0.1958, 0.2286, 0.2119, ..., -0.1292, 0.0477, 0.0099]
INFO:root:[2][643/2187] Loss_D: 0.2700 Loss_G: 1.7746 R1: 0.0405 R2: 0.0394 w_avg: [ 0.1958, 0.2283, 0.2122, ..., -0.1292, 0.0475, 0.0100]
INFO:root:[2][644/2187] Loss_D: 0.3226 Loss_G: 2.1059 R1: 0.0458 R2: 0.0386 w_avg: [ 0.1958, 0.2284, 0.2124, ..., -0.1292, 0.0474, 0.0100]
INFO:root:[2][645/2187] Loss_D: 0.3361 Loss_G: 2.1867 R1: 0.0491 R2: 0.0385 w_avg: [ 0.1959, 0.2284, 0.2124, ..., -0.1291, 0.0477, 0.0100]
INFO:root:[2][646/2187] Loss_D: 0.3185 Loss_G: 2.4013 R1: 0.0471 R2: 0.0463 w_avg: [ 0.1958, 0.2283, 0.2127, ..., -0.1291, 0.0476, 0.0097]
INFO:root:[2][647/2187] Loss_D: 0.2313 Loss_G: 3.0919 R1: 0.0446 R2: 0.0468 w_avg: [ 0.1958, 0.2279, 0.2123, ..., -0.1291, 0.0474, 0.0095]
INFO:root:[2][648/2187] Loss_D: 0.4714 Loss_G: 2.8485 R1: 0.0457 R2: 0.0505 w_avg: [ 0.1958, 0.2278, 0.2123, ..., -0.1290, 0.0474, 0.0092]
INFO:root:[2][649/2187] Loss_D: 0.2699 Loss_G: 2.3784 R1: 0.0365 R2: 0.0473 w_avg: [ 0.1959, 0.2273, 0.2123, ..., -0.1290, 0.0474, 0.0092]
INFO:root:[2][650/2187] Loss_D: 0.3143 Loss_G: 2.0868 R1: 0.0425 R2: 0.0699 w_avg: [ 0.1960, 0.2276, 0.2120, ..., -0.1291, 0.0473, 0.0090]
INFO:root:[2][651/2187] Loss_D: 0.4091 Loss_G: 2.8201 R1: 0.0419 R2: 0.0504 w_avg: [ 0.1958, 0.2282, 0.2126, ..., -0.1290, 0.0471, 0.0090]
INFO:root:[2][652/2187] Loss_D: 0.2429 Loss_G: 2.2023 R1: 0.0446 R2: 0.0431 w_avg: [ 0.1958, 0.2281, 0.2127, ..., -0.1290, 0.0471, 0.0090]
INFO:root:[2][653/2187] Loss_D: 0.2843 Loss_G: 2.1148 R1: 0.0531 R2: 0.0455 w_avg: [ 0.1953, 0.2280, 0.2125, ..., -0.1290, 0.0473, 0.0089]
INFO:root:[2][654/2187] Loss_D: 0.3295 Loss_G: 2.7635 R1: 0.0452 R2: 0.0514 w_avg: [ 0.1963, 0.2278, 0.2121, ..., -0.1290, 0.0473, 0.0090]
INFO:root:[2][655/2187] Loss_D: 0.3200 Loss_G: 2.2805 R1: 0.0450 R2: 0.0521 w_avg: [ 0.1963, 0.2277, 0.2119, ..., -0.1291, 0.0473, 0.0091]
INFO:root:[2][656/2187] Loss_D: 0.4436 Loss_G: 2.2086 R1: 0.0449 R2: 0.0522 w_avg: [ 0.1961, 0.2273, 0.2118, ..., -0.1290, 0.0470, 0.0091]
INFO:root:[2][657/2187] Loss_D: 0.3025 Loss_G: 2.0522 R1: 0.0499 R2: 0.0255 w_avg: [ 0.1966, 0.2274, 0.2121, ..., -0.1289, 0.0470, 0.0092]
INFO:root:[2][658/2187] Loss_D: 0.3426 Loss_G: 2.1757 R1: 0.0480 R2: 0.0335 w_avg: [ 0.1968, 0.2269, 0.2122, ..., -0.1292, 0.0471, 0.0088]
INFO:root:[2][659/2187] Loss_D: 0.3316 Loss_G: 1.8878 R1: 0.0446 R2: 0.0334 w_avg: [ 0.1965, 0.2265, 0.2124, ..., -0.1291, 0.0472, 0.0086]
INFO:root:[2][660/2187] Loss_D: 0.3607 Loss_G: 2.1985 R1: 0.0372 R2: 0.0403 w_avg: [ 0.1962, 0.2266, 0.2123, ..., -0.1292, 0.0470, 0.0085]
INFO:root:[2][661/2187] Loss_D: 0.2554 Loss_G: 2.1702 R1: 0.0502 R2: 0.0197 w_avg: [ 0.1962, 0.2268, 0.2127, ..., -0.1291, 0.0471, 0.0086]
INFO:root:[2][662/2187] Loss_D: 0.3077 Loss_G: 2.5658 R1: 0.0414 R2: 0.0407 w_avg: [ 0.1963, 0.2270, 0.2124, ..., -0.1291, 0.0471, 0.0087]
INFO:root:[2][663/2187] Loss_D: 0.4668 Loss_G: 1.8966 R1: 0.0428 R2: 0.0319 w_avg: [ 0.1963, 0.2269, 0.2122, ..., -0.1290, 0.0470, 0.0089]
INFO:root:[2][664/2187] Loss_D: 0.3427 Loss_G: 2.1959 R1: 0.0383 R2: 0.0444 w_avg: [ 0.1961, 0.2267, 0.2122, ..., -0.1289, 0.0471, 0.0090]
INFO:root:[2][665/2187] Loss_D: 0.3798 Loss_G: 2.2327 R1: 0.0379 R2: 0.0336 w_avg: [ 0.1962, 0.2270, 0.2122, ..., -0.1288, 0.0469, 0.0089]
INFO:root:[2][666/2187] Loss_D: 0.2843 Loss_G: 2.2500 R1: 0.0391 R2: 0.0376 w_avg: [ 0.1959, 0.2270, 0.2119, ..., -0.1287, 0.0467, 0.0088]
INFO:root:[2][667/2187] Loss_D: 0.3034 Loss_G: 1.8957 R1: 0.0389 R2: 0.0386 w_avg: [ 0.1960, 0.2274, 0.2122, ..., -0.1287, 0.0467, 0.0088]
INFO:root:[2][668/2187] Loss_D: 0.3310 Loss_G: 2.1716 R1: 0.0359 R2: 0.0551 w_avg: [ 0.1957, 0.2272, 0.2124, ..., -0.1289, 0.0469, 0.0087]
INFO:root:[2][669/2187] Loss_D: 0.2823 Loss_G: 2.5088 R1: 0.0483 R2: 0.0320 w_avg: [ 0.1956, 0.2270, 0.2125, ..., -0.1290, 0.0467, 0.0086]
INFO:root:[2][670/2187] Loss_D: 0.3942 Loss_G: 2.2698 R1: 0.0378 R2: 0.0433 w_avg: [ 0.1952, 0.2272, 0.2124, ..., -0.1289, 0.0468, 0.0085]
INFO:root:[2][671/2187] Loss_D: 0.3356 Loss_G: 2.1459 R1: 0.0432 R2: 0.0355 w_avg: [ 0.1948, 0.2269, 0.2122, ..., -0.1291, 0.0468, 0.0086]
INFO:root:[2][672/2187] Loss_D: 0.3872 Loss_G: 2.5417 R1: 0.0470 R2: 0.0306 w_avg: [ 0.1950, 0.2274, 0.2126, ..., -0.1291, 0.0467, 0.0084]
INFO:root:[2][673/2187] Loss_D: 0.2365 Loss_G: 2.1185 R1: 0.0394 R2: 0.0445 w_avg: [ 0.1953, 0.2273, 0.2132, ..., -0.1291, 0.0468, 0.0084]
INFO:root:[2][674/2187] Loss_D: 0.3010 Loss_G: 1.8475 R1: 0.0407 R2: 0.0441 w_avg: [ 0.1956, 0.2276, 0.2133, ..., -0.1291, 0.0466, 0.0084]
INFO:root:[2][675/2187] Loss_D: 0.3368 Loss_G: 2.7529 R1: 0.0405 R2: 0.0443 w_avg: [ 0.1959, 0.2274, 0.2135, ..., -0.1290, 0.0466, 0.0085]
INFO:root:[2][676/2187] Loss_D: 0.3212 Loss_G: 2.5875 R1: 0.0484 R2: 0.0432 w_avg: [ 0.1960, 0.2270, 0.2139, ..., -0.1292, 0.0463, 0.0085]
INFO:root:[2][677/2187] Loss_D: 0.6475 Loss_G: 2.4338 R1: 0.0459 R2: 0.0543 w_avg: [ 0.1955, 0.2272, 0.2141, ..., -0.1293, 0.0462, 0.0083]
INFO:root:[2][678/2187] Loss_D: 0.3212 Loss_G: 2.3204 R1: 0.0349 R2: 0.0376 w_avg: [ 0.1957, 0.2268, 0.2139, ..., -0.1292, 0.0462, 0.0088]
INFO:root:[2][679/2187] Loss_D: 0.4551 Loss_G: 2.3453 R1: 0.0363 R2: 0.0402 w_avg: [ 0.1954, 0.2270, 0.2137, ..., -0.1292, 0.0461, 0.0090]
INFO:root:[2][680/2187] Loss_D: 0.2420 Loss_G: 2.5032 R1: 0.0381 R2: 0.0372 w_avg: [ 0.1952, 0.2272, 0.2135, ..., -0.1293, 0.0461, 0.0087]
INFO:root:[2][681/2187] Loss_D: 0.2294 Loss_G: 2.5631 R1: 0.0426 R2: 0.0453 w_avg: [ 0.1957, 0.2271, 0.2136, ..., -0.1294, 0.0459, 0.0085]
INFO:root:[2][682/2187] Loss_D: 0.3025 Loss_G: 2.5864 R1: 0.0385 R2: 0.0331 w_avg: [ 0.1955, 0.2271, 0.2135, ..., -0.1295, 0.0461, 0.0084]
INFO:root:[2][683/2187] Loss_D: 0.2832 Loss_G: 2.9878 R1: 0.0485 R2: 0.0329 w_avg: [ 0.1951, 0.2268, 0.2138, ..., -0.1295, 0.0460, 0.0082]
INFO:root:[2][684/2187] Loss_D: 0.1632 Loss_G: 2.8033 R1: 0.0456 R2: 0.0216 w_avg: [ 0.1949, 0.2265, 0.2136, ..., -0.1296, 0.0462, 0.0083]
INFO:root:[2][685/2187] Loss_D: 0.2212 Loss_G: 2.4477 R1: 0.0389 R2: 0.0430 w_avg: [ 0.1950, 0.2264, 0.2142, ..., -0.1297, 0.0463, 0.0081]
INFO:root:[2][686/2187] Loss_D: 0.2559 Loss_G: 2.3891 R1: 0.0395 R2: 0.0297 w_avg: [ 0.1958, 0.2266, 0.2140, ..., -0.1295, 0.0464, 0.0080]
INFO:root:[2][687/2187] Loss_D: 0.4981 Loss_G: 2.6963 R1: 0.0526 R2: 0.0592 w_avg: [ 0.1957, 0.2264, 0.2138, ..., -0.1295, 0.0464, 0.0083]
INFO:root:[2][688/2187] Loss_D: 0.3554 Loss_G: 2.7044 R1: 0.0405 R2: 0.0484 w_avg: [ 0.1954, 0.2264, 0.2138, ..., -0.1292, 0.0461, 0.0080]
INFO:root:[2][689/2187] Loss_D: 0.4355 Loss_G: 1.9236 R1: 0.0416 R2: 0.0422 w_avg: [ 0.1951, 0.2263, 0.2139, ..., -0.1293, 0.0463, 0.0083]
INFO:root:[2][690/2187] Loss_D: 0.4284 Loss_G: 2.2256 R1: 0.0421 R2: 0.0542 w_avg: [ 0.1953, 0.2261, 0.2137, ..., -0.1294, 0.0464, 0.0081]
INFO:root:[2][691/2187] Loss_D: 0.2402 Loss_G: 2.5887 R1: 0.0342 R2: 0.0375 w_avg: [ 0.1949, 0.2262, 0.2139, ..., -0.1293, 0.0466, 0.0080]
INFO:root:[2][692/2187] Loss_D: 0.2402 Loss_G: 2.5404 R1: 0.0390 R2: 0.0380 w_avg: [ 0.1945, 0.2261, 0.2140, ..., -0.1294, 0.0464, 0.0080]
INFO:root:[2][693/2187] Loss_D: 0.2262 Loss_G: 2.3951 R1: 0.0411 R2: 0.0314 w_avg: [ 0.1946, 0.2264, 0.2141, ..., -0.1293, 0.0466, 0.0081]
INFO:root:[2][694/2187] Loss_D: 0.2899 Loss_G: 2.0463 R1: 0.0407 R2: 0.0601 w_avg: [ 0.1946, 0.2263, 0.2141, ..., -0.1292, 0.0465, 0.0078]
INFO:root:[2][695/2187] Loss_D: 0.3294 Loss_G: 2.3760 R1: 0.0450 R2: 0.0459 w_avg: [ 0.1944, 0.2268, 0.2140, ..., -0.1293, 0.0461, 0.0077]
INFO:root:[2][696/2187] Loss_D: 0.3883 Loss_G: 2.7444 R1: 0.0423 R2: 0.0819 w_avg: [ 0.1945, 0.2265, 0.2142, ..., -0.1293, 0.0458, 0.0077]
INFO:root:[2][697/2187] Loss_D: 0.3195 Loss_G: 3.0667 R1: 0.0533 R2: 0.0108 w_avg: [ 0.1946, 0.2267, 0.2145, ..., -0.1294, 0.0458, 0.0074]
INFO:root:[2][698/2187] Loss_D: 0.2183 Loss_G: 3.0402 R1: 0.0474 R2: 0.0260 w_avg: [ 0.1945, 0.2265, 0.2145, ..., -0.1295, 0.0460, 0.0073]
INFO:root:[2][699/2187] Loss_D: 0.3033 Loss_G: 2.6967 R1: 0.0471 R2: 0.0345 w_avg: [ 0.1942, 0.2265, 0.2148, ..., -0.1294, 0.0458, 0.0077]
INFO:root:[2][700/2187] Loss_D: 0.2305 Loss_G: 2.9529 R1: 0.0325 R2: 0.0366 w_avg: [ 0.1944, 0.2265, 0.2151, ..., -0.1293, 0.0457, 0.0076]
INFO:root:[2][701/2187] Loss_D: 0.2271 Loss_G: 2.8686 R1: 0.0426 R2: 0.0366 w_avg: [ 0.1945, 0.2269, 0.2151, ..., -0.1295, 0.0459, 0.0075]
INFO:root:[2][702/2187] Loss_D: 0.3520 Loss_G: 2.7128 R1: 0.0410 R2: 0.0462 w_avg: [ 0.1945, 0.2268, 0.2151, ..., -0.1294, 0.0458, 0.0073]
INFO:root:[2][703/2187] Loss_D: 0.2377 Loss_G: 2.8633 R1: 0.0357 R2: 0.0457 w_avg: [ 0.1944, 0.2267, 0.2151, ..., -0.1295, 0.0457, 0.0074]
INFO:root:[2][704/2187] Loss_D: 0.4116 Loss_G: 2.4468 R1: 0.0390 R2: 0.0376 w_avg: [ 0.1940, 0.2262, 0.2150, ..., -0.1295, 0.0460, 0.0073]
INFO:root:[2][705/2187] Loss_D: 0.2547 Loss_G: 2.0453 R1: 0.0480 R2: 0.0245 w_avg: [ 0.1946, 0.2266, 0.2153, ..., -0.1296, 0.0460, 0.0072]
INFO:root:[2][706/2187] Loss_D: 0.4429 Loss_G: 2.6119 R1: 0.0480 R2: 0.0625 w_avg: [ 0.1947, 0.2266, 0.2150, ..., -0.1297, 0.0461, 0.0072]
INFO:root:[2][707/2187] Loss_D: 0.2751 Loss_G: 2.7499 R1: 0.0482 R2: 0.0323 w_avg: [ 0.1948, 0.2264, 0.2156, ..., -0.1294, 0.0464, 0.0073]
INFO:root:[2][708/2187] Loss_D: 0.3421 Loss_G: 2.2960 R1: 0.0325 R2: 0.0326 w_avg: [ 0.1948, 0.2262, 0.2153, ..., -0.1295, 0.0464, 0.0073]
INFO:root:[2][709/2187] Loss_D: 0.3104 Loss_G: 1.4675 R1: 0.0412 R2: 0.0428 w_avg: [ 0.1950, 0.2265, 0.2150, ..., -0.1293, 0.0463, 0.0074]
INFO:root:[2][710/2187] Loss_D: 0.2967 Loss_G: 2.4470 R1: 0.0377 R2: 0.0464 w_avg: [ 0.1949, 0.2262, 0.2152, ..., -0.1293, 0.0466, 0.0072]
INFO:root:[2][711/2187] Loss_D: 0.3990 Loss_G: 2.0991 R1: 0.0377 R2: 0.0494 w_avg: [ 0.1950, 0.2261, 0.2151, ..., -0.1294, 0.0468, 0.0072]
INFO:root:[2][712/2187] Loss_D: 0.2933 Loss_G: 2.0762 R1: 0.0497 R2: 0.0313 w_avg: [ 0.1948, 0.2260, 0.2153, ..., -0.1294, 0.0470, 0.0073]
INFO:root:[2][713/2187] Loss_D: 0.1986 Loss_G: 2.5631 R1: 0.0400 R2: 0.0294 w_avg: [ 0.1944, 0.2261, 0.2151, ..., -0.1296, 0.0470, 0.0078]
INFO:root:[2][714/2187] Loss_D: 0.4012 Loss_G: 2.5166 R1: 0.0483 R2: 0.0247 w_avg: [ 0.1942, 0.2261, 0.2148, ..., -0.1296, 0.0471, 0.0078]
INFO:root:[2][715/2187] Loss_D: 0.2880 Loss_G: 2.2836 R1: 0.0396 R2: 0.0388 w_avg: [ 0.1943, 0.2262, 0.2147, ..., -0.1295, 0.0472, 0.0077]
INFO:root:[2][716/2187] Loss_D: 0.1987 Loss_G: 2.7136 R1: 0.0509 R2: 0.0326 w_avg: [ 0.1941, 0.2263, 0.2147, ..., -0.1296, 0.0470, 0.0076]
INFO:root:[2][717/2187] Loss_D: 0.2268 Loss_G: 2.2318 R1: 0.0435 R2: 0.0391 w_avg: [ 0.1939, 0.2262, 0.2143, ..., -0.1297, 0.0468, 0.0076]
INFO:root:[2][718/2187] Loss_D: 0.3081 Loss_G: 3.1846 R1: 0.0492 R2: 0.0345 w_avg: [ 0.1942, 0.2259, 0.2139, ..., -0.1297, 0.0468, 0.0074]
INFO:root:[2][719/2187] Loss_D: 0.4259 Loss_G: 2.1820 R1: 0.0472 R2: 0.0426 w_avg: [ 0.1940, 0.2253, 0.2140, ..., -0.1299, 0.0471, 0.0076]
INFO:root:[2][720/2187] Loss_D: 0.3219 Loss_G: 2.4768 R1: 0.0367 R2: 0.0379 w_avg: [ 0.1937, 0.2250, 0.2138, ..., -0.1298, 0.0469, 0.0078]
INFO:root:[2][721/2187] Loss_D: 0.3944 Loss_G: 2.3838 R1: 0.0440 R2: 0.0431 w_avg: [ 0.1935, 0.2252, 0.2136, ..., -0.1296, 0.0468, 0.0079]
INFO:root:[2][722/2187] Loss_D: 0.3154 Loss_G: 2.1730 R1: 0.0423 R2: 0.0413 w_avg: [ 0.1937, 0.2251, 0.2137, ..., -0.1296, 0.0469, 0.0078]
INFO:root:[2][723/2187] Loss_D: 0.4248 Loss_G: 2.3160 R1: 0.0468 R2: 0.0379 w_avg: [ 0.1935, 0.2252, 0.2138, ..., -0.1297, 0.0472, 0.0078]
INFO:root:[2][724/2187] Loss_D: 0.2616 Loss_G: 2.0742 R1: 0.0472 R2: 0.0513 w_avg: [ 0.1931, 0.2251, 0.2139, ..., -0.1298, 0.0476, 0.0075]
INFO:root:[2][725/2187] Loss_D: 0.3837 Loss_G: 2.4664 R1: 0.0325 R2: 0.0464 w_avg: [ 0.1927, 0.2247, 0.2139, ..., -0.1299, 0.0475, 0.0077]
INFO:root:[2][726/2187] Loss_D: 0.3536 Loss_G: 2.3656 R1: 0.0466 R2: 0.0482 w_avg: [ 0.1925, 0.2248, 0.2136, ..., -0.1299, 0.0472, 0.0082]
INFO:root:[2][727/2187] Loss_D: 0.2716 Loss_G: 2.3121 R1: 0.0495 R2: 0.0345 w_avg: [ 0.1923, 0.2244, 0.2135, ..., -0.1300, 0.0475, 0.0080]
INFO:root:[2][728/2187] Loss_D: 0.2161 Loss_G: 2.5220 R1: 0.0532 R2: 0.0234 w_avg: [ 0.1922, 0.2246, 0.2134, ..., -0.1302, 0.0477, 0.0080]
INFO:root:[2][729/2187] Loss_D: 0.3735 Loss_G: 2.6727 R1: 0.0491 R2: 0.0393 w_avg: [ 0.1923, 0.2245, 0.2129, ..., -0.1302, 0.0479, 0.0081]
INFO:root:[2][730/2187] Loss_D: 0.3654 Loss_G: 3.2434 R1: 0.0489 R2: 0.0417 w_avg: [ 0.1923, 0.2241, 0.2126, ..., -0.1302, 0.0481, 0.0079]
INFO:root:[2][731/2187] Loss_D: 0.3767 Loss_G: 2.2824 R1: 0.0414 R2: 0.0594 w_avg: [ 0.1926, 0.2243, 0.2127, ..., -0.1303, 0.0484, 0.0082]
INFO:root:[2][732/2187] Loss_D: 0.3416 Loss_G: 2.2801 R1: 0.0480 R2: 0.0376 w_avg: [ 0.1927, 0.2241, 0.2126, ..., -0.1303, 0.0487, 0.0082]
INFO:root:[2][733/2187] Loss_D: 0.3211 Loss_G: 2.2806 R1: 0.0536 R2: 0.0327 w_avg: [ 0.1926, 0.2240, 0.2126, ..., -0.1304, 0.0486, 0.0080]
INFO:root:[2][734/2187] Loss_D: 0.3908 Loss_G: 2.1303 R1: 0.0549 R2: 0.0634 w_avg: [ 0.1926, 0.2238, 0.2129, ..., -0.1304, 0.0483, 0.0077]
INFO:root:[2][735/2187] Loss_D: 0.3629 Loss_G: 2.3933 R1: 0.0513 R2: 0.0567 w_avg: [ 0.1925, 0.2237, 0.2130, ..., -0.1304, 0.0480, 0.0074]
INFO:root:[2][736/2187] Loss_D: 0.2703 Loss_G: 2.8956 R1: 0.0569 R2: 0.0465 w_avg: [ 0.1924, 0.2235, 0.2129, ..., -0.1305, 0.0480, 0.0073]
INFO:root:[2][737/2187] Loss_D: 0.3661 Loss_G: 2.2336 R1: 0.0461 R2: 0.0500 w_avg: [ 0.1927, 0.2239, 0.2129, ..., -0.1305, 0.0480, 0.0070]
INFO:root:[2][738/2187] Loss_D: 0.4282 Loss_G: 2.0869 R1: 0.0440 R2: 0.0405 w_avg: [ 0.1930, 0.2238, 0.2133, ..., -0.1305, 0.0479, 0.0071]
INFO:root:[2][739/2187] Loss_D: 0.4036 Loss_G: 1.7750 R1: 0.0429 R2: 0.0287 w_avg: [ 0.1930, 0.2234, 0.2132, ..., -0.1305, 0.0482, 0.0070]
INFO:root:[2][740/2187] Loss_D: 0.3048 Loss_G: 2.2418 R1: 0.0436 R2: 0.0353 w_avg: [ 0.1927, 0.2236, 0.2133, ..., -0.1304, 0.0482, 0.0071]
INFO:root:[2][741/2187] Loss_D: 0.2453 Loss_G: 2.1782 R1: 0.0447 R2: 0.0350 w_avg: [ 0.1934, 0.2235, 0.2134, ..., -0.1304, 0.0482, 0.0071]
INFO:root:[2][742/2187] Loss_D: 0.2837 Loss_G: 1.9177 R1: 0.0421 R2: 0.0270 w_avg: [ 0.1933, 0.2232, 0.2134, ..., -0.1300, 0.0480, 0.0071]
INFO:root:[2][743/2187] Loss_D: 0.4055 Loss_G: 1.8817 R1: 0.0410 R2: 0.0331 w_avg: [ 0.1931, 0.2233, 0.2130, ..., -0.1300, 0.0478, 0.0073]
INFO:root:[2][744/2187] Loss_D: 0.3067 Loss_G: 2.0274 R1: 0.0442 R2: 0.0172 w_avg: [ 0.1933, 0.2231, 0.2131, ..., -0.1301, 0.0478, 0.0073]
INFO:root:[2][745/2187] Loss_D: 0.2535 Loss_G: 2.6313 R1: 0.0517 R2: 0.0191 w_avg: [ 0.1932, 0.2229, 0.2131, ..., -0.1300, 0.0480, 0.0072]
INFO:root:[2][746/2187] Loss_D: 0.3434 Loss_G: 2.5918 R1: 0.0407 R2: 0.0449 w_avg: [ 0.1932, 0.2228, 0.2130, ..., -0.1301, 0.0482, 0.0071]
INFO:root:[2][747/2187] Loss_D: 0.3382 Loss_G: 3.2274 R1: 0.0558 R2: 0.0233 w_avg: [ 0.1934, 0.2227, 0.2129, ..., -0.1299, 0.0480, 0.0074]
INFO:root:[2][748/2187] Loss_D: 0.4507 Loss_G: 2.4357 R1: 0.0466 R2: 0.0563 w_avg: [ 0.1936, 0.2225, 0.2128, ..., -0.1299, 0.0480, 0.0075]
INFO:root:[2][749/2187] Loss_D: 0.3247 Loss_G: 2.4472 R1: 0.0453 R2: 0.0468 w_avg: [ 0.1939, 0.2225, 0.2131, ..., -0.1299, 0.0480, 0.0074]
INFO:root:[2][750/2187] Loss_D: 0.2938 Loss_G: 2.4590 R1: 0.0521 R2: 0.0340 w_avg: [ 0.1945, 0.2224, 0.2136, ..., -0.1298, 0.0479, 0.0073]
INFO:root:[2][751/2187] Loss_D: 0.2572 Loss_G: 2.3390 R1: 0.0511 R2: 0.0430 w_avg: [ 0.1943, 0.2225, 0.2138, ..., -0.1298, 0.0477, 0.0072]
INFO:root:[2][752/2187] Loss_D: 0.3490 Loss_G: 2.9145 R1: 0.0496 R2: 0.0441 w_avg: [ 0.1941, 0.2224, 0.2136, ..., -0.1297, 0.0478, 0.0072]
INFO:root:[2][753/2187] Loss_D: 0.3425 Loss_G: 2.2549 R1: 0.0475 R2: 0.0481 w_avg: [ 0.1938, 0.2223, 0.2139, ..., -0.1298, 0.0476, 0.0068]
INFO:root:[2][754/2187] Loss_D: 0.3165 Loss_G: 2.1847 R1: 0.0455 R2: 0.0390 w_avg: [ 0.1938, 0.2223, 0.2139, ..., -0.1298, 0.0474, 0.0072]
INFO:root:[2][755/2187] Loss_D: 0.3228 Loss_G: 2.8955 R1: 0.0388 R2: 0.0453 w_avg: [ 0.1935, 0.2221, 0.2136, ..., -0.1300, 0.0472, 0.0072]
INFO:root:[2][756/2187] Loss_D: 0.3188 Loss_G: 2.1991 R1: 0.0320 R2: 0.0505 w_avg: [ 0.1932, 0.2220, 0.2138, ..., -0.1300, 0.0473, 0.0070]
INFO:root:[2][757/2187] Loss_D: 0.4809 Loss_G: 2.5370 R1: 0.0533 R2: 0.0319 w_avg: [ 0.1933, 0.2219, 0.2139, ..., -0.1296, 0.0475, 0.0071]
INFO:root:[2][758/2187] Loss_D: 0.2875 Loss_G: 2.1224 R1: 0.0400 R2: 0.0380 w_avg: [ 0.1930, 0.2219, 0.2141, ..., -0.1295, 0.0475, 0.0070]
INFO:root:[2][759/2187] Loss_D: 0.1902 Loss_G: 2.4961 R1: 0.0422 R2: 0.0403 w_avg: [ 0.1933, 0.2226, 0.2142, ..., -0.1293, 0.0474, 0.0071]
INFO:root:[2][760/2187] Loss_D: 0.3004 Loss_G: 2.2777 R1: 0.0446 R2: 0.0502 w_avg: [ 0.1935, 0.2223, 0.2140, ..., -0.1293, 0.0476, 0.0071]
INFO:root:[2][761/2187] Loss_D: 0.4720 Loss_G: 2.5762 R1: 0.0454 R2: 0.0526 w_avg: [ 0.1932, 0.2225, 0.2138, ..., -0.1293, 0.0474, 0.0071]
INFO:root:[2][762/2187] Loss_D: 0.3766 Loss_G: 2.5040 R1: 0.0346 R2: 0.0380 w_avg: [ 0.1932, 0.2227, 0.2140, ..., -0.1294, 0.0471, 0.0071]
INFO:root:[2][763/2187] Loss_D: 0.3050 Loss_G: 2.0285 R1: 0.0309 R2: 0.0454 w_avg: [ 0.1928, 0.2226, 0.2140, ..., -0.1295, 0.0470, 0.0070]
INFO:root:[2][764/2187] Loss_D: 0.2562 Loss_G: 2.0189 R1: 0.0362 R2: 0.0339 w_avg: [ 0.1929, 0.2227, 0.2139, ..., -0.1296, 0.0469, 0.0077]
INFO:root:[2][765/2187] Loss_D: 0.4397 Loss_G: 2.0285 R1: 0.0361 R2: 0.0389 w_avg: [ 0.1925, 0.2224, 0.2141, ..., -0.1296, 0.0465, 0.0078]
INFO:root:[2][766/2187] Loss_D: 0.3232 Loss_G: 2.1510 R1: 0.0387 R2: 0.0261 w_avg: [ 0.1923, 0.2222, 0.2136, ..., -0.1297, 0.0468, 0.0077]
INFO:root:[2][767/2187] Loss_D: 0.4759 Loss_G: 2.1240 R1: 0.0415 R2: 0.0419 w_avg: [ 0.1919, 0.2226, 0.2137, ..., -0.1298, 0.0466, 0.0077]
INFO:root:[2][768/2187] Loss_D: 0.3240 Loss_G: 2.3434 R1: 0.0452 R2: 0.0486 w_avg: [ 0.1922, 0.2225, 0.2135, ..., -0.1298, 0.0465, 0.0077]
INFO:root:[2][769/2187] Loss_D: 0.4820 Loss_G: 2.3503 R1: 0.0397 R2: 0.0442 w_avg: [ 0.1923, 0.2222, 0.2132, ..., -0.1299, 0.0466, 0.0075]
INFO:root:[2][770/2187] Loss_D: 0.3335 Loss_G: 2.4686 R1: 0.0408 R2: 0.0222 w_avg: [ 0.1921, 0.2220, 0.2136, ..., -0.1301, 0.0466, 0.0072]
INFO:root:[2][771/2187] Loss_D: 0.2383 Loss_G: 2.0738 R1: 0.0423 R2: 0.0280 w_avg: [ 0.1923, 0.2217, 0.2135, ..., -0.1302, 0.0466, 0.0073]
INFO:root:[2][772/2187] Loss_D: 0.2997 Loss_G: 2.4458 R1: 0.0421 R2: 0.0362 w_avg: [ 0.1928, 0.2218, 0.2133, ..., -0.1300, 0.0468, 0.0074]
INFO:root:[2][773/2187] Loss_D: 0.2502 Loss_G: 2.2442 R1: 0.0418 R2: 0.0310 w_avg: [ 0.1928, 0.2213, 0.2129, ..., -0.1302, 0.0473, 0.0070]
INFO:root:[2][774/2187] Loss_D: 0.3113 Loss_G: 2.4125 R1: 0.0410 R2: 0.0391 w_avg: [ 0.1926, 0.2211, 0.2129, ..., -0.1301, 0.0473, 0.0070]
INFO:root:[2][775/2187] Loss_D: 0.2944 Loss_G: 1.9377 R1: 0.0375 R2: 0.0393 w_avg: [ 0.1923, 0.2208, 0.2128, ..., -0.1301, 0.0473, 0.0067]
INFO:root:[2][776/2187] Loss_D: 0.3312 Loss_G: 2.1730 R1: 0.0462 R2: 0.0521 w_avg: [ 0.1925, 0.2204, 0.2129, ..., -0.1302, 0.0473, 0.0067]
INFO:root:[2][777/2187] Loss_D: 0.2842 Loss_G: 2.4908 R1: 0.0418 R2: 0.0339 w_avg: [ 0.1921, 0.2205, 0.2135, ..., -0.1302, 0.0476, 0.0067]
INFO:root:[2][778/2187] Loss_D: 0.3114 Loss_G: 2.3736 R1: 0.0408 R2: 0.0408 w_avg: [ 0.1923, 0.2205, 0.2134, ..., -0.1303, 0.0480, 0.0068]
INFO:root:[2][779/2187] Loss_D: 0.1950 Loss_G: 2.2530 R1: 0.0450 R2: 0.0462 w_avg: [ 0.1922, 0.2208, 0.2136, ..., -0.1304, 0.0479, 0.0066]
INFO:root:[2][780/2187] Loss_D: 0.4049 Loss_G: 2.6643 R1: 0.0412 R2: 0.0416 w_avg: [ 0.1924, 0.2206, 0.2134, ..., -0.1304, 0.0477, 0.0067]
INFO:root:[2][781/2187] Loss_D: 0.1972 Loss_G: 2.1328 R1: 0.0395 R2: 0.0319 w_avg: [ 0.1927, 0.2202, 0.2133, ..., -0.1305, 0.0478, 0.0069]
INFO:root:[2][782/2187] Loss_D: 0.2568 Loss_G: 2.4146 R1: 0.0377 R2: 0.0479 w_avg: [ 0.1925, 0.2203, 0.2134, ..., -0.1305, 0.0478, 0.0070]
INFO:root:[2][783/2187] Loss_D: 0.2252 Loss_G: 1.9166 R1: 0.0389 R2: 0.0314 w_avg: [ 0.1925, 0.2204, 0.2132, ..., -0.1304, 0.0476, 0.0070]
INFO:root:[2][784/2187] Loss_D: 0.3795 Loss_G: 2.6314 R1: 0.0333 R2: 0.0496 w_avg: [ 0.1926, 0.2204, 0.2135, ..., -0.1305, 0.0476, 0.0067]
INFO:root:[2][785/2187] Loss_D: 0.3437 Loss_G: 2.1496 R1: 0.0408 R2: 0.0293 w_avg: [ 0.1925, 0.2203, 0.2138, ..., -0.1306, 0.0476, 0.0066]
INFO:root:[2][786/2187] Loss_D: 0.2375 Loss_G: 1.9940 R1: 0.0442 R2: 0.0252 w_avg: [ 0.1928, 0.2201, 0.2137, ..., -0.1307, 0.0474, 0.0068]
INFO:root:[2][787/2187] Loss_D: 0.2980 Loss_G: 2.3514 R1: 0.0508 R2: 0.0335 w_avg: [ 0.1933, 0.2202, 0.2137, ..., -0.1305, 0.0477, 0.0065]
INFO:root:[2][788/2187] Loss_D: 0.2571 Loss_G: 2.5751 R1: 0.0532 R2: 0.0345 w_avg: [ 0.1934, 0.2200, 0.2135, ..., -0.1306, 0.0476, 0.0069]
INFO:root:[2][789/2187] Loss_D: 0.2467 Loss_G: 2.3809 R1: 0.0414 R2: 0.0416 w_avg: [ 0.1937, 0.2199, 0.2133, ..., -0.1305, 0.0476, 0.0068]
INFO:root:[2][790/2187] Loss_D: 0.2743 Loss_G: 2.0600 R1: 0.0416 R2: 0.0454 w_avg: [ 0.1937, 0.2198, 0.2134, ..., -0.1306, 0.0482, 0.0067]
INFO:root:[2][791/2187] Loss_D: 0.3985 Loss_G: 2.3653 R1: 0.0446 R2: 0.0472 w_avg: [ 0.1937, 0.2202, 0.2138, ..., -0.1304, 0.0482, 0.0066]
INFO:root:[2][792/2187] Loss_D: 0.2740 Loss_G: 2.2726 R1: 0.0447 R2: 0.0339 w_avg: [ 0.1940, 0.2202, 0.2137, ..., -0.1305, 0.0482, 0.0067]
INFO:root:[2][793/2187] Loss_D: 0.2327 Loss_G: 2.6770 R1: 0.0360 R2: 0.0383 w_avg: [ 0.1940, 0.2200, 0.2140, ..., -0.1303, 0.0480, 0.0069]
INFO:root:[2][794/2187] Loss_D: 0.4202 Loss_G: 2.2926 R1: 0.0518 R2: 0.0298 w_avg: [ 0.1939, 0.2198, 0.2140, ..., -0.1303, 0.0484, 0.0068]
INFO:root:[2][795/2187] Loss_D: 0.1804 Loss_G: 2.9285 R1: 0.0345 R2: 0.0231 w_avg: [ 0.1941, 0.2201, 0.2137, ..., -0.1305, 0.0481, 0.0068]
INFO:root:[2][796/2187] Loss_D: 0.2675 Loss_G: 2.3508 R1: 0.0419 R2: 0.0293 w_avg: [ 0.1935, 0.2198, 0.2134, ..., -0.1306, 0.0481, 0.0065]
INFO:root:[2][797/2187] Loss_D: 0.5147 Loss_G: 2.1355 R1: 0.0378 R2: 0.0515 w_avg: [ 0.1932, 0.2196, 0.2134, ..., -0.1306, 0.0482, 0.0064]
INFO:root:[2][798/2187] Loss_D: 0.2872 Loss_G: 2.2225 R1: 0.0453 R2: 0.0170 w_avg: [ 0.1930, 0.2193, 0.2134, ..., -0.1307, 0.0482, 0.0062]
INFO:root:[2][799/2187] Loss_D: 0.2524 Loss_G: 2.2174 R1: 0.0435 R2: 0.0334 w_avg: [ 0.1932, 0.2191, 0.2136, ..., -0.1308, 0.0484, 0.0060]
INFO:root:[2][800/2187] Loss_D: 0.2724 Loss_G: 2.5878 R1: 0.0420 R2: 0.0339 w_avg: [ 0.1930, 0.2191, 0.2141, ..., -0.1309, 0.0487, 0.0060]
INFO:root:[2][801/2187] Loss_D: 0.3258 Loss_G: 2.2626 R1: 0.0352 R2: 0.0320 w_avg: [ 0.1928, 0.2189, 0.2137, ..., -0.1307, 0.0485, 0.0061]
INFO:root:[2][802/2187] Loss_D: 0.1914 Loss_G: 3.0125 R1: 0.0394 R2: 0.0223 w_avg: [ 0.1930, 0.2187, 0.2140, ..., -0.1308, 0.0486, 0.0060]
INFO:root:[2][803/2187] Loss_D: 0.2862 Loss_G: 2.4232 R1: 0.0425 R2: 0.0411 w_avg: [ 0.1929, 0.2196, 0.2143, ..., -0.1308, 0.0483, 0.0057]
INFO:root:[2][804/2187] Loss_D: 0.3378 Loss_G: 2.5184 R1: 0.0368 R2: 0.0502 w_avg: [ 0.1928, 0.2196, 0.2143, ..., -0.1310, 0.0483, 0.0059]
INFO:root:[2][805/2187] Loss_D: 0.2614 Loss_G: 2.1325 R1: 0.0431 R2: 0.0396 w_avg: [ 0.1928, 0.2194, 0.2143, ..., -0.1310, 0.0483, 0.0059]
INFO:root:[2][806/2187] Loss_D: 0.2633 Loss_G: 2.0400 R1: 0.0341 R2: 0.0408 w_avg: [ 0.1930, 0.2194, 0.2144, ..., -0.1311, 0.0484, 0.0056]
INFO:root:[2][807/2187] Loss_D: 0.4204 Loss_G: 2.6433 R1: 0.0386 R2: 0.0453 w_avg: [ 0.1926, 0.2192, 0.2145, ..., -0.1310, 0.0484, 0.0058]
INFO:root:[2][808/2187] Loss_D: 0.3369 Loss_G: 2.8892 R1: 0.0383 R2: 0.0448 w_avg: [ 0.1924, 0.2192, 0.2143, ..., -0.1309, 0.0483, 0.0056]
INFO:root:[2][809/2187] Loss_D: 0.4186 Loss_G: 2.5994 R1: 0.0438 R2: 0.0418 w_avg: [ 0.1929, 0.2193, 0.2141, ..., -0.1310, 0.0484, 0.0055]
INFO:root:[2][810/2187] Loss_D: 0.3116 Loss_G: 2.1549 R1: 0.0445 R2: 0.0324 w_avg: [ 0.1926, 0.2192, 0.2143, ..., -0.1310, 0.0484, 0.0056]
INFO:root:[2][811/2187] Loss_D: 0.2801 Loss_G: 2.1697 R1: 0.0533 R2: 0.0336 w_avg: [ 0.1925, 0.2192, 0.2145, ..., -0.1311, 0.0485, 0.0055]
INFO:root:[2][812/2187] Loss_D: 0.3637 Loss_G: 2.5589 R1: 0.0490 R2: 0.0382 w_avg: [ 0.1923, 0.2187, 0.2144, ..., -0.1307, 0.0487, 0.0056]
INFO:root:[2][813/2187] Loss_D: 0.4351 Loss_G: 2.4597 R1: 0.0434 R2: 0.0560 w_avg: [ 0.1926, 0.2187, 0.2143, ..., -0.1307, 0.0491, 0.0058]
INFO:root:[2][814/2187] Loss_D: 0.2676 Loss_G: 2.5090 R1: 0.0497 R2: 0.0289 w_avg: [ 0.1923, 0.2186, 0.2144, ..., -0.1307, 0.0491, 0.0056]
INFO:root:[2][815/2187] Loss_D: 0.3456 Loss_G: 2.0714 R1: 0.0407 R2: 0.0390 w_avg: [ 0.1923, 0.2187, 0.2144, ..., -0.1305, 0.0490, 0.0057]
INFO:root:[2][816/2187] Loss_D: 0.3903 Loss_G: 2.5921 R1: 0.0370 R2: 0.0476 w_avg: [ 0.1925, 0.2190, 0.2145, ..., -0.1307, 0.0490, 0.0056]
INFO:root:[2][817/2187] Loss_D: 0.2384 Loss_G: 2.0961 R1: 0.0377 R2: 0.0435 w_avg: [ 0.1926, 0.2190, 0.2145, ..., -0.1309, 0.0490, 0.0056]
INFO:root:[2][818/2187] Loss_D: 0.3601 Loss_G: 2.4431 R1: 0.0479 R2: 0.0393 w_avg: [ 0.1926, 0.2185, 0.2142, ..., -0.1309, 0.0487, 0.0056]
INFO:root:[2][819/2187] Loss_D: 0.4184 Loss_G: 2.8115 R1: 0.0374 R2: 0.0419 w_avg: [ 0.1922, 0.2184, 0.2143, ..., -0.1309, 0.0486, 0.0055]
INFO:root:[2][820/2187] Loss_D: 0.3761 Loss_G: 2.5408 R1: 0.0378 R2: 0.0367 w_avg: [ 0.1922, 0.2184, 0.2144, ..., -0.1308, 0.0486, 0.0053]
INFO:root:[2][821/2187] Loss_D: 0.3431 Loss_G: 2.3398 R1: 0.0407 R2: 0.0367 w_avg: [ 0.1927, 0.2182, 0.2143, ..., -0.1307, 0.0484, 0.0052]
INFO:root:[2][822/2187] Loss_D: 0.2494 Loss_G: 2.9876 R1: 0.0408 R2: 0.0534 w_avg: [ 0.1933, 0.2181, 0.2144, ..., -0.1308, 0.0484, 0.0057]
INFO:root:[2][823/2187] Loss_D: 0.2014 Loss_G: 2.4477 R1: 0.0358 R2: 0.0387 w_avg: [ 0.1931, 0.2180, 0.2144, ..., -0.1308, 0.0484, 0.0061]
INFO:root:[2][824/2187] Loss_D: 0.2953 Loss_G: 2.2866 R1: 0.0423 R2: 0.0357 w_avg: [ 0.1931, 0.2181, 0.2141, ..., -0.1307, 0.0482, 0.0062]
INFO:root:[2][825/2187] Loss_D: 0.4118 Loss_G: 2.6981 R1: 0.0334 R2: 0.0424 w_avg: [ 0.1928, 0.2178, 0.2139, ..., -0.1307, 0.0481, 0.0060]
INFO:root:[2][826/2187] Loss_D: 0.2505 Loss_G: 2.2373 R1: 0.0375 R2: 0.0429 w_avg: [ 0.1927, 0.2179, 0.2139, ..., -0.1309, 0.0482, 0.0058]
INFO:root:[2][827/2187] Loss_D: 0.1950 Loss_G: 2.2253 R1: 0.0302 R2: 0.0374 w_avg: [ 0.1925, 0.2178, 0.2138, ..., -0.1308, 0.0483, 0.0058]
INFO:root:[2][828/2187] Loss_D: 0.3887 Loss_G: 2.0049 R1: 0.0342 R2: 0.0366 w_avg: [ 0.1922, 0.2178, 0.2138, ..., -0.1307, 0.0481, 0.0061]
INFO:root:[2][829/2187] Loss_D: 0.2417 Loss_G: 2.2903 R1: 0.0290 R2: 0.0383 w_avg: [ 0.1925, 0.2181, 0.2139, ..., -0.1308, 0.0483, 0.0060]
INFO:root:[2][830/2187] Loss_D: 0.3060 Loss_G: 2.5200 R1: 0.0278 R2: 0.0447 w_avg: [ 0.1923, 0.2180, 0.2137, ..., -0.1307, 0.0484, 0.0063]
INFO:root:[2][831/2187] Loss_D: 0.2781 Loss_G: 2.8034 R1: 0.0316 R2: 0.0384 w_avg: [ 0.1932, 0.2182, 0.2139, ..., -0.1307, 0.0484, 0.0064]
INFO:root:[2][832/2187] Loss_D: 0.2660 Loss_G: 2.8281 R1: 0.0344 R2: 0.0420 w_avg: [ 0.1933, 0.2179, 0.2137, ..., -0.1308, 0.0490, 0.0063]
INFO:root:[2][833/2187] Loss_D: 0.5205 Loss_G: 2.6624 R1: 0.0389 R2: 0.0635 w_avg: [ 0.1933, 0.2177, 0.2136, ..., -0.1307, 0.0489, 0.0064]
INFO:root:[2][834/2187] Loss_D: 0.3947 Loss_G: 2.0726 R1: 0.0505 R2: 0.0301 w_avg: [ 0.1931, 0.2176, 0.2137, ..., -0.1307, 0.0487, 0.0062]
INFO:root:[2][835/2187] Loss_D: 0.3778 Loss_G: 2.5172 R1: 0.0428 R2: 0.0324 w_avg: [ 0.1929, 0.2181, 0.2137, ..., -0.1306, 0.0487, 0.0062]
INFO:root:[2][836/2187] Loss_D: 0.2811 Loss_G: 2.4166 R1: 0.0348 R2: 0.0376 w_avg: [ 0.1928, 0.2182, 0.2136, ..., -0.1306, 0.0485, 0.0062]
INFO:root:[2][837/2187] Loss_D: 0.3115 Loss_G: 2.1937 R1: 0.0393 R2: 0.0422 w_avg: [ 0.1924, 0.2185, 0.2137, ..., -0.1307, 0.0485, 0.0063]
INFO:root:[2][838/2187] Loss_D: 0.2703 Loss_G: 2.7687 R1: 0.0435 R2: 0.0407 w_avg: [ 0.1924, 0.2186, 0.2137, ..., -0.1306, 0.0485, 0.0063]
INFO:root:[2][839/2187] Loss_D: 0.3478 Loss_G: 2.5476 R1: 0.0496 R2: 0.0484 w_avg: [ 0.1922, 0.2185, 0.2137, ..., -0.1307, 0.0485, 0.0061]
INFO:root:[2][840/2187] Loss_D: 0.2991 Loss_G: 2.6044 R1: 0.0453 R2: 0.0401 w_avg: [ 0.1924, 0.2185, 0.2136, ..., -0.1306, 0.0486, 0.0064]
INFO:root:[2][841/2187] Loss_D: 0.6584 Loss_G: 2.8803 R1: 0.0478 R2: 0.0345 w_avg: [ 0.1925, 0.2186, 0.2131, ..., -0.1307, 0.0485, 0.0064]
INFO:root:[2][842/2187] Loss_D: 0.2506 Loss_G: 2.4266 R1: 0.0389 R2: 0.0489 w_avg: [ 0.1923, 0.2188, 0.2134, ..., -0.1306, 0.0486, 0.0061]
INFO:root:[2][843/2187] Loss_D: 0.4461 Loss_G: 2.6101 R1: 0.0460 R2: 0.0532 w_avg: [ 0.1924, 0.2191, 0.2133, ..., -0.1305, 0.0483, 0.0059]
INFO:root:[2][844/2187] Loss_D: 0.2621 Loss_G: 2.3815 R1: 0.0367 R2: 0.0517 w_avg: [ 0.1924, 0.2186, 0.2135, ..., -0.1306, 0.0483, 0.0060]
INFO:root:[2][845/2187] Loss_D: 0.3515 Loss_G: 2.5781 R1: 0.0420 R2: 0.0442 w_avg: [ 0.1922, 0.2187, 0.2134, ..., -0.1306, 0.0483, 0.0058]
INFO:root:[2][846/2187] Loss_D: 0.2082 Loss_G: 2.7319 R1: 0.0439 R2: 0.0338 w_avg: [ 0.1921, 0.2187, 0.2131, ..., -0.1308, 0.0485, 0.0059]
INFO:root:[2][847/2187] Loss_D: 0.3622 Loss_G: 3.1811 R1: 0.0402 R2: 0.0583 w_avg: [ 0.1917, 0.2184, 0.2128, ..., -0.1307, 0.0486, 0.0057]
INFO:root:[2][848/2187] Loss_D: 0.2261 Loss_G: 2.8377 R1: 0.0497 R2: 0.0298 w_avg: [ 0.1922, 0.2182, 0.2127, ..., -0.1305, 0.0487, 0.0055]
INFO:root:[2][849/2187] Loss_D: 0.2270 Loss_G: 2.4972 R1: 0.0450 R2: 0.0327 w_avg: [ 0.1924, 0.2182, 0.2128, ..., -0.1306, 0.0488, 0.0057]
INFO:root:[2][850/2187] Loss_D: 0.3960 Loss_G: 2.7577 R1: 0.0510 R2: 0.0458 w_avg: [ 0.1919, 0.2182, 0.2126, ..., -0.1306, 0.0487, 0.0056]
INFO:root:[2][851/2187] Loss_D: 0.1889 Loss_G: 2.4711 R1: 0.0427 R2: 0.0389 w_avg: [ 0.1920, 0.2186, 0.2129, ..., -0.1305, 0.0488, 0.0057]
INFO:root:[2][852/2187] Loss_D: 0.3286 Loss_G: 2.6355 R1: 0.0453 R2: 0.0385 w_avg: [ 0.1917, 0.2183, 0.2126, ..., -0.1307, 0.0491, 0.0058]
INFO:root:[2][853/2187] Loss_D: 0.3596 Loss_G: 3.4020 R1: 0.0509 R2: 0.0365 w_avg: [ 0.1920, 0.2181, 0.2122, ..., -0.1308, 0.0490, 0.0059]
INFO:root:[2][854/2187] Loss_D: 0.4020 Loss_G: 2.2641 R1: 0.0375 R2: 0.0404 w_avg: [ 0.1921, 0.2181, 0.2121, ..., -0.1307, 0.0488, 0.0063]
INFO:root:[2][855/2187] Loss_D: 0.3509 Loss_G: 2.1727 R1: 0.0388 R2: 0.0450 w_avg: [ 0.1918, 0.2180, 0.2116, ..., -0.1308, 0.0486, 0.0065]
INFO:root:[2][856/2187] Loss_D: 0.2793 Loss_G: 2.7652 R1: 0.0438 R2: 0.0413 w_avg: [ 0.1917, 0.2182, 0.2117, ..., -0.1308, 0.0489, 0.0064]
INFO:root:[2][857/2187] Loss_D: 0.2983 Loss_G: 2.5100 R1: 0.0345 R2: 0.0433 w_avg: [ 0.1921, 0.2181, 0.2120, ..., -0.1307, 0.0492, 0.0065]
INFO:root:[2][858/2187] Loss_D: 0.2738 Loss_G: 2.3275 R1: 0.0410 R2: 0.0428 w_avg: [ 0.1920, 0.2181, 0.2118, ..., -0.1307, 0.0493, 0.0065]
INFO:root:[2][859/2187] Loss_D: 0.3256 Loss_G: 2.1419 R1: 0.0438 R2: 0.0393 w_avg: [ 0.1920, 0.2179, 0.2120, ..., -0.1306, 0.0491, 0.0063]
INFO:root:[2][860/2187] Loss_D: 0.2652 Loss_G: 2.3143 R1: 0.0440 R2: 0.0392 w_avg: [ 0.1920, 0.2176, 0.2120, ..., -0.1308, 0.0494, 0.0067]
INFO:root:[2][861/2187] Loss_D: 0.2455 Loss_G: 2.2747 R1: 0.0439 R2: 0.0272 w_avg: [ 0.1918, 0.2174, 0.2123, ..., -0.1308, 0.0493, 0.0068]
INFO:root:[2][862/2187] Loss_D: 0.2293 Loss_G: 2.2525 R1: 0.0360 R2: 0.0398 w_avg: [ 0.1913, 0.2176, 0.2123, ..., -0.1308, 0.0490, 0.0067]
INFO:root:[2][863/2187] Loss_D: 0.2691 Loss_G: 2.4723 R1: 0.0453 R2: 0.0344 w_avg: [ 0.1911, 0.2174, 0.2118, ..., -0.1309, 0.0496, 0.0065]
INFO:root:[2][864/2187] Loss_D: 0.2614 Loss_G: 2.5075 R1: 0.0407 R2: 0.0454 w_avg: [ 0.1907, 0.2171, 0.2112, ..., -0.1308, 0.0495, 0.0069]
INFO:root:[2][865/2187] Loss_D: 0.3654 Loss_G: 2.9484 R1: 0.0442 R2: 0.0334 w_avg: [ 0.1907, 0.2170, 0.2111, ..., -0.1307, 0.0497, 0.0070]
INFO:root:[2][866/2187] Loss_D: 0.3464 Loss_G: 2.5067 R1: 0.0425 R2: 0.0417 w_avg: [ 0.1910, 0.2169, 0.2111, ..., -0.1305, 0.0495, 0.0070]
INFO:root:[2][867/2187] Loss_D: 0.4104 Loss_G: 2.4716 R1: 0.0436 R2: 0.0426 w_avg: [ 0.1912, 0.2170, 0.2111, ..., -0.1305, 0.0495, 0.0069]
INFO:root:[2][868/2187] Loss_D: 0.4956 Loss_G: 2.3381 R1: 0.0447 R2: 0.0450 w_avg: [ 0.1913, 0.2172, 0.2115, ..., -0.1306, 0.0492, 0.0067]
INFO:root:[2][869/2187] Loss_D: 0.2839 Loss_G: 2.5715 R1: 0.0441 R2: 0.0456 w_avg: [ 0.1914, 0.2170, 0.2114, ..., -0.1306, 0.0490, 0.0069]
INFO:root:[2][870/2187] Loss_D: 0.2500 Loss_G: 2.1229 R1: 0.0377 R2: 0.0410 w_avg: [ 0.1914, 0.2171, 0.2112, ..., -0.1306, 0.0490, 0.0069]
INFO:root:[2][871/2187] Loss_D: 0.5244 Loss_G: 1.7442 R1: 0.0425 R2: 0.0507 w_avg: [ 0.1914, 0.2171, 0.2111, ..., -0.1307, 0.0488, 0.0071]
INFO:root:[2][872/2187] Loss_D: 0.2997 Loss_G: 1.9755 R1: 0.0455 R2: 0.0333 w_avg: [ 0.1910, 0.2171, 0.2110, ..., -0.1308, 0.0486, 0.0073]
INFO:root:[2][873/2187] Loss_D: 0.4011 Loss_G: 2.7854 R1: 0.0474 R2: 0.0415 w_avg: [ 0.1914, 0.2173, 0.2109, ..., -0.1308, 0.0485, 0.0073]
INFO:root:[2][874/2187] Loss_D: 0.4444 Loss_G: 2.0708 R1: 0.0406 R2: 0.0318 w_avg: [ 0.1920, 0.2174, 0.2108, ..., -0.1309, 0.0488, 0.0076]
INFO:root:[2][875/2187] Loss_D: 0.2604 Loss_G: 2.4082 R1: 0.0485 R2: 0.0325 w_avg: [ 0.1918, 0.2173, 0.2111, ..., -0.1309, 0.0490, 0.0074]
INFO:root:[2][876/2187] Loss_D: 0.2193 Loss_G: 2.1705 R1: 0.0353 R2: 0.0427 w_avg: [ 0.1919, 0.2174, 0.2110, ..., -0.1309, 0.0488, 0.0075]
INFO:root:[2][877/2187] Loss_D: 0.3136 Loss_G: 2.6679 R1: 0.0392 R2: 0.0412 w_avg: [ 0.1917, 0.2177, 0.2109, ..., -0.1309, 0.0490, 0.0076]
INFO:root:[2][878/2187] Loss_D: 0.2897 Loss_G: 2.3237 R1: 0.0444 R2: 0.0341 w_avg: [ 0.1922, 0.2180, 0.2109, ..., -0.1310, 0.0494, 0.0076]
INFO:root:[2][879/2187] Loss_D: 0.3668 Loss_G: 2.5487 R1: 0.0461 R2: 0.0310 w_avg: [ 0.1923, 0.2180, 0.2116, ..., -0.1308, 0.0494, 0.0073]
INFO:root:[2][880/2187] Loss_D: 0.7360 Loss_G: 3.4616 R1: 0.0453 R2: 0.0359 w_avg: [ 0.1923, 0.2178, 0.2117, ..., -0.1308, 0.0497, 0.0077]
INFO:root:[2][881/2187] Loss_D: 0.4915 Loss_G: 2.9194 R1: 0.0615 R2: 0.0468 w_avg: [ 0.1921, 0.2176, 0.2116, ..., -0.1309, 0.0498, 0.0079]
INFO:root:[2][882/2187] Loss_D: 0.1909 Loss_G: 3.0506 R1: 0.0516 R2: 0.0293 w_avg: [ 0.1919, 0.2176, 0.2114, ..., -0.1309, 0.0495, 0.0077]
INFO:root:[2][883/2187] Loss_D: 0.3457 Loss_G: 2.3835 R1: 0.0442 R2: 0.0396 w_avg: [ 0.1920, 0.2176, 0.2114, ..., -0.1310, 0.0495, 0.0074]
INFO:root:[2][884/2187] Loss_D: 0.3849 Loss_G: 2.1375 R1: 0.0371 R2: 0.0426 w_avg: [ 0.1920, 0.2179, 0.2112, ..., -0.1311, 0.0495, 0.0077]
INFO:root:[2][885/2187] Loss_D: 0.3290 Loss_G: 2.5037 R1: 0.0537 R2: 0.0299 w_avg: [ 0.1922, 0.2182, 0.2112, ..., -0.1310, 0.0493, 0.0078]
INFO:root:[2][886/2187] Loss_D: 0.2567 Loss_G: 2.2742 R1: 0.0354 R2: 0.0336 w_avg: [ 0.1923, 0.2182, 0.2114, ..., -0.1311, 0.0497, 0.0075]
INFO:root:[2][887/2187] Loss_D: 0.4251 Loss_G: 1.8693 R1: 0.0496 R2: 0.0412 w_avg: [ 0.1919, 0.2183, 0.2117, ..., -0.1313, 0.0495, 0.0072]
INFO:root:[2][888/2187] Loss_D: 0.4201 Loss_G: 2.3217 R1: 0.0456 R2: 0.0440 w_avg: [ 0.1922, 0.2187, 0.2120, ..., -0.1314, 0.0495, 0.0070]
INFO:root:[2][889/2187] Loss_D: 0.2300 Loss_G: 2.3325 R1: 0.0382 R2: 0.0250 w_avg: [ 0.1920, 0.2188, 0.2121, ..., -0.1315, 0.0495, 0.0069]
INFO:root:[2][890/2187] Loss_D: 0.2864 Loss_G: 1.9945 R1: 0.0390 R2: 0.0416 w_avg: [ 0.1924, 0.2187, 0.2121, ..., -0.1315, 0.0494, 0.0072]
INFO:root:[2][891/2187] Loss_D: 0.3690 Loss_G: 2.4466 R1: 0.0405 R2: 0.0384 w_avg: [ 0.1924, 0.2186, 0.2119, ..., -0.1315, 0.0494, 0.0070]
INFO:root:[2][892/2187] Loss_D: 0.6267 Loss_G: 2.3830 R1: 0.0354 R2: 0.0453 w_avg: [ 0.1921, 0.2185, 0.2120, ..., -0.1314, 0.0491, 0.0068]
INFO:root:[2][893/2187] Loss_D: 0.1858 Loss_G: 2.2154 R1: 0.0355 R2: 0.0328 w_avg: [ 0.1918, 0.2184, 0.2117, ..., -0.1315, 0.0493, 0.0067]
INFO:root:[2][894/2187] Loss_D: 0.7632 Loss_G: 1.9602 R1: 0.0418 R2: 0.0429 w_avg: [ 0.1918, 0.2186, 0.2116, ..., -0.1315, 0.0493, 0.0067]
INFO:root:[2][895/2187] Loss_D: 0.3396 Loss_G: 1.9588 R1: 0.0398 R2: 0.0147 w_avg: [ 0.1916, 0.2183, 0.2112, ..., -0.1315, 0.0495, 0.0066]
INFO:root:[2][896/2187] Loss_D: 0.2554 Loss_G: 2.1225 R1: 0.0374 R2: 0.0245 w_avg: [ 0.1917, 0.2181, 0.2124, ..., -0.1315, 0.0496, 0.0064]
INFO:root:[2][897/2187] Loss_D: 0.5544 Loss_G: 2.1559 R1: 0.0412 R2: 0.0376 w_avg: [ 0.1921, 0.2188, 0.2123, ..., -0.1313, 0.0495, 0.0061]
INFO:root:[2][898/2187] Loss_D: 0.3434 Loss_G: 2.0153 R1: 0.0328 R2: 0.0403 w_avg: [ 0.1917, 0.2185, 0.2124, ..., -0.1313, 0.0492, 0.0059]
INFO:root:[2][899/2187] Loss_D: 0.3274 Loss_G: 2.0036 R1: 0.0282 R2: 0.0368 w_avg: [ 0.1916, 0.2182, 0.2119, ..., -0.1312, 0.0495, 0.0063]
INFO:root:[2][900/2187] Loss_D: 0.2836 Loss_G: 2.3771 R1: 0.0320 R2: 0.0481 w_avg: [ 0.1917, 0.2185, 0.2123, ..., -0.1309, 0.0493, 0.0063]
INFO:root:[2][901/2187] Loss_D: 0.3546 Loss_G: 2.6365 R1: 0.0324 R2: 0.0319 w_avg: [ 0.1922, 0.2184, 0.2121, ..., -0.1309, 0.0490, 0.0064]
INFO:root:[2][902/2187] Loss_D: 0.3814 Loss_G: 2.3259 R1: 0.0347 R2: 0.0409 w_avg: [ 0.1923, 0.2182, 0.2119, ..., -0.1309, 0.0493, 0.0066]
INFO:root:[2][903/2187] Loss_D: 0.2277 Loss_G: 2.5128 R1: 0.0373 R2: 0.0231 w_avg: [ 0.1923, 0.2181, 0.2119, ..., -0.1311, 0.0494, 0.0064]
INFO:root:[2][904/2187] Loss_D: 0.2932 Loss_G: 2.2247 R1: 0.0365 R2: 0.0375 w_avg: [ 0.1923, 0.2180, 0.2120, ..., -0.1312, 0.0495, 0.0062]
INFO:root:[2][905/2187] Loss_D: 0.3656 Loss_G: 2.6971 R1: 0.0348 R2: 0.0443 w_avg: [ 0.1924, 0.2178, 0.2118, ..., -0.1313, 0.0497, 0.0061]
INFO:root:[2][906/2187] Loss_D: 0.1929 Loss_G: 2.5988 R1: 0.0332 R2: 0.0298 w_avg: [ 0.1927, 0.2177, 0.2117, ..., -0.1311, 0.0495, 0.0060]
INFO:root:[2][907/2187] Loss_D: 0.3669 Loss_G: 3.2643 R1: 0.0387 R2: 0.0440 w_avg: [ 0.1932, 0.2173, 0.2120, ..., -0.1311, 0.0494, 0.0058]
INFO:root:[2][908/2187] Loss_D: 0.3387 Loss_G: 2.0529 R1: 0.0344 R2: 0.0332 w_avg: [ 0.1928, 0.2172, 0.2121, ..., -0.1311, 0.0493, 0.0056]
INFO:root:[2][909/2187] Loss_D: 0.5865 Loss_G: 1.9298 R1: 0.0354 R2: 0.0339 w_avg: [ 0.1927, 0.2177, 0.2123, ..., -0.1310, 0.0490, 0.0058]
INFO:root:[2][910/2187] Loss_D: 0.3444 Loss_G: 2.6084 R1: 0.0277 R2: 0.0558 w_avg: [ 0.1925, 0.2174, 0.2122, ..., -0.1310, 0.0489, 0.0059]
INFO:root:[2][911/2187] Loss_D: 0.2301 Loss_G: 2.8395 R1: 0.0380 R2: 0.0373 w_avg: [ 0.1924, 0.2173, 0.2122, ..., -0.1311, 0.0490, 0.0060]
INFO:root:[2][912/2187] Loss_D: 0.1818 Loss_G: 2.6168 R1: 0.0363 R2: 0.0371 w_avg: [ 0.1923, 0.2173, 0.2121, ..., -0.1312, 0.0490, 0.0060]
INFO:root:[2][913/2187] Loss_D: 0.2365 Loss_G: 2.7352 R1: 0.0418 R2: 0.0318 w_avg: [ 0.1921, 0.2169, 0.2124, ..., -0.1311, 0.0489, 0.0060]
INFO:root:[2][914/2187] Loss_D: 0.1690 Loss_G: 1.9686 R1: 0.0282 R2: 0.0406 w_avg: [ 0.1917, 0.2165, 0.2122, ..., -0.1310, 0.0487, 0.0060]
INFO:root:[2][915/2187] Loss_D: 0.4096 Loss_G: 2.5700 R1: 0.0386 R2: 0.0482 w_avg: [ 0.1919, 0.2165, 0.2121, ..., -0.1309, 0.0484, 0.0060]
INFO:root:[2][916/2187] Loss_D: 0.2941 Loss_G: 2.1349 R1: 0.0444 R2: 0.0446 w_avg: [ 0.1920, 0.2163, 0.2122, ..., -0.1310, 0.0483, 0.0061]
INFO:root:[2][917/2187] Loss_D: 0.3148 Loss_G: 2.5941 R1: 0.0419 R2: 0.0425 w_avg: [ 0.1919, 0.2165, 0.2122, ..., -0.1310, 0.0486, 0.0059]
INFO:root:[2][918/2187] Loss_D: 0.2855 Loss_G: 2.4136 R1: 0.0336 R2: 0.0422 w_avg: [ 0.1922, 0.2161, 0.2120, ..., -0.1310, 0.0488, 0.0058]
INFO:root:[2][919/2187] Loss_D: 0.3930 Loss_G: 2.4793 R1: 0.0408 R2: 0.0436 w_avg: [ 0.1923, 0.2159, 0.2119, ..., -0.1311, 0.0487, 0.0057]
INFO:root:[2][920/2187] Loss_D: 0.2592 Loss_G: 2.2548 R1: 0.0397 R2: 0.0417 w_avg: [ 0.1919, 0.2158, 0.2121, ..., -0.1311, 0.0486, 0.0058]
INFO:root:[2][921/2187] Loss_D: 0.2614 Loss_G: 2.2101 R1: 0.0423 R2: 0.0417 w_avg: [ 0.1921, 0.2156, 0.2118, ..., -0.1312, 0.0488, 0.0056]
INFO:root:[2][922/2187] Loss_D: 0.3702 Loss_G: 2.1978 R1: 0.0378 R2: 0.0434 w_avg: [ 0.1921, 0.2154, 0.2124, ..., -0.1311, 0.0488, 0.0054]
INFO:root:[2][923/2187] Loss_D: 0.2641 Loss_G: 2.5181 R1: 0.0383 R2: 0.0438 w_avg: [ 0.1925, 0.2155, 0.2125, ..., -0.1312, 0.0490, 0.0053]
INFO:root:[2][924/2187] Loss_D: 0.1782 Loss_G: 2.4288 R1: 0.0412 R2: 0.0317 w_avg: [ 0.1923, 0.2149, 0.2122, ..., -0.1312, 0.0494, 0.0054]
INFO:root:[2][925/2187] Loss_D: 0.4761 Loss_G: 2.6205 R1: 0.0406 R2: 0.0417 w_avg: [ 0.1925, 0.2149, 0.2121, ..., -0.1311, 0.0492, 0.0053]
INFO:root:[2][926/2187] Loss_D: 0.3238 Loss_G: 2.5027 R1: 0.0399 R2: 0.0376 w_avg: [ 0.1924, 0.2152, 0.2121, ..., -0.1312, 0.0493, 0.0054]
INFO:root:[2][927/2187] Loss_D: 0.2997 Loss_G: 2.0705 R1: 0.0415 R2: 0.0391 w_avg: [ 0.1924, 0.2148, 0.2120, ..., -0.1313, 0.0494, 0.0052]
INFO:root:[2][928/2187] Loss_D: 0.2345 Loss_G: 2.7247 R1: 0.0384 R2: 0.0353 w_avg: [ 0.1924, 0.2148, 0.2122, ..., -0.1313, 0.0494, 0.0051]
INFO:root:[2][929/2187] Loss_D: 0.2804 Loss_G: 2.9423 R1: 0.0349 R2: 0.0375 w_avg: [ 0.1926, 0.2149, 0.2125, ..., -0.1312, 0.0494, 0.0050]
INFO:root:[2][930/2187] Loss_D: 0.3691 Loss_G: 2.4434 R1: 0.0420 R2: 0.0334 w_avg: [ 0.1923, 0.2147, 0.2122, ..., -0.1312, 0.0499, 0.0049]
INFO:root:[2][931/2187] Loss_D: 0.2823 Loss_G: 3.0523 R1: 0.0434 R2: 0.0425 w_avg: [ 0.1923, 0.2146, 0.2123, ..., -0.1313, 0.0500, 0.0047]
INFO:root:[2][932/2187] Loss_D: 0.2471 Loss_G: 2.7287 R1: 0.0395 R2: 0.0328 w_avg: [ 0.1923, 0.2145, 0.2125, ..., -0.1309, 0.0502, 0.0048]
INFO:root:[2][933/2187] Loss_D: 0.3493 Loss_G: 2.6394 R1: 0.0378 R2: 0.0420 w_avg: [ 0.1917, 0.2145, 0.2125, ..., -0.1309, 0.0501, 0.0046]
INFO:root:[2][934/2187] Loss_D: 0.2140 Loss_G: 2.8270 R1: 0.0432 R2: 0.0273 w_avg: [ 0.1912, 0.2144, 0.2127, ..., -0.1309, 0.0499, 0.0043]
INFO:root:[2][935/2187] Loss_D: 0.2306 Loss_G: 2.6541 R1: 0.0511 R2: 0.0341 w_avg: [ 0.1915, 0.2150, 0.2128, ..., -0.1306, 0.0496, 0.0044]
INFO:root:[2][936/2187] Loss_D: 0.2828 Loss_G: 2.7673 R1: 0.0417 R2: 0.0557 w_avg: [ 0.1917, 0.2152, 0.2125, ..., -0.1306, 0.0495, 0.0043]
INFO:root:[2][937/2187] Loss_D: 0.2541 Loss_G: 2.9418 R1: 0.0560 R2: 0.0498 w_avg: [ 0.1916, 0.2150, 0.2123, ..., -0.1307, 0.0494, 0.0042]
INFO:root:[2][938/2187] Loss_D: 0.4350 Loss_G: 2.2099 R1: 0.0372 R2: 0.0500 w_avg: [ 0.1917, 0.2149, 0.2122, ..., -0.1308, 0.0495, 0.0042]
INFO:root:[2][939/2187] Loss_D: 0.3417 Loss_G: 2.2580 R1: 0.0458 R2: 0.0511 w_avg: [ 0.1914, 0.2151, 0.2118, ..., -0.1308, 0.0491, 0.0041]
INFO:root:[2][940/2187] Loss_D: 0.5886 Loss_G: 1.7723 R1: 0.0419 R2: 0.0493 w_avg: [ 0.1911, 0.2149, 0.2117, ..., -0.1307, 0.0490, 0.0042]
INFO:root:[2][941/2187] Loss_D: 0.5170 Loss_G: 1.8495 R1: 0.0375 R2: 0.0458 w_avg: [ 0.1908, 0.2147, 0.2115, ..., -0.1308, 0.0489, 0.0040]
INFO:root:[2][942/2187] Loss_D: 0.4293 Loss_G: 2.0065 R1: 0.0365 R2: 0.0178 w_avg: [ 0.1904, 0.2146, 0.2117, ..., -0.1309, 0.0487, 0.0039]
INFO:root:[2][943/2187] Loss_D: 0.3875 Loss_G: 2.2741 R1: 0.0486 R2: 0.0331 w_avg: [ 0.1901, 0.2148, 0.2115, ..., -0.1310, 0.0492, 0.0038]
INFO:root:[2][944/2187] Loss_D: 0.2936 Loss_G: 2.1484 R1: 0.0431 R2: 0.0352 w_avg: [ 0.1901, 0.2155, 0.2120, ..., -0.1311, 0.0491, 0.0037]
INFO:root:[2][945/2187] Loss_D: 0.3991 Loss_G: 2.0817 R1: 0.0493 R2: 0.0391 w_avg: [ 0.1898, 0.2156, 0.2124, ..., -0.1310, 0.0491, 0.0037]
INFO:root:[2][946/2187] Loss_D: 0.2821 Loss_G: 2.3004 R1: 0.0456 R2: 0.0416 w_avg: [ 0.1897, 0.2153, 0.2122, ..., -0.1311, 0.0492, 0.0036]
INFO:root:[2][947/2187] Loss_D: 0.2746 Loss_G: 1.9630 R1: 0.0408 R2: 0.0363 w_avg: [ 0.1895, 0.2152, 0.2117, ..., -0.1311, 0.0492, 0.0035]
INFO:root:[2][948/2187] Loss_D: 0.2956 Loss_G: 2.5864 R1: 0.0529 R2: 0.0323 w_avg: [ 0.1894, 0.2156, 0.2121, ..., -0.1312, 0.0493, 0.0031]
INFO:root:[2][949/2187] Loss_D: 0.2755 Loss_G: 2.2124 R1: 0.0488 R2: 0.0308 w_avg: [ 0.1892, 0.2152, 0.2120, ..., -0.1314, 0.0496, 0.0031]
INFO:root:[2][950/2187] Loss_D: 0.3720 Loss_G: 1.7326 R1: 0.0444 R2: 0.0369 w_avg: [ 0.1893, 0.2156, 0.2120, ..., -0.1314, 0.0494, 0.0031]
INFO:root:[2][951/2187] Loss_D: 0.4517 Loss_G: 2.2713 R1: 0.0366 R2: 0.0380 w_avg: [ 0.1895, 0.2158, 0.2121, ..., -0.1314, 0.0496, 0.0030]
INFO:root:[2][952/2187] Loss_D: 0.3394 Loss_G: 2.1193 R1: 0.0404 R2: 0.0239 w_avg: [ 0.1894, 0.2157, 0.2116, ..., -0.1312, 0.0495, 0.0030]
INFO:root:[2][953/2187] Loss_D: 0.3567 Loss_G: 2.2487 R1: 0.0420 R2: 0.0274 w_avg: [ 0.1894, 0.2152, 0.2115, ..., -0.1314, 0.0494, 0.0030]
INFO:root:[2][954/2187] Loss_D: 0.4283 Loss_G: 2.2511 R1: 0.0397 R2: 0.0381 w_avg: [ 0.1893, 0.2153, 0.2112, ..., -0.1315, 0.0491, 0.0034]
INFO:root:[2][955/2187] Loss_D: 0.2740 Loss_G: 2.5513 R1: 0.0436 R2: 0.0333 w_avg: [ 0.1891, 0.2154, 0.2113, ..., -0.1316, 0.0489, 0.0034]
INFO:root:[2][956/2187] Loss_D: 0.3639 Loss_G: 2.5333 R1: 0.0385 R2: 0.0404 w_avg: [ 0.1890, 0.2158, 0.2113, ..., -0.1317, 0.0487, 0.0036]
INFO:root:[2][957/2187] Loss_D: 0.2226 Loss_G: 2.3765 R1: 0.0352 R2: 0.0341 w_avg: [ 0.1892, 0.2163, 0.2115, ..., -0.1315, 0.0484, 0.0036]
INFO:root:[2][958/2187] Loss_D: 0.3313 Loss_G: 2.4356 R1: 0.0326 R2: 0.0344 w_avg: [ 0.1896, 0.2167, 0.2115, ..., -0.1313, 0.0481, 0.0036]
INFO:root:[2][959/2187] Loss_D: 0.2909 Loss_G: 2.2999 R1: 0.0341 R2: 0.0354 w_avg: [ 0.1901, 0.2171, 0.2115, ..., -0.1314, 0.0482, 0.0035]
INFO:root:[2][960/2187] Loss_D: 0.3074 Loss_G: 2.2875 R1: 0.0332 R2: 0.0415 w_avg: [ 0.1897, 0.2176, 0.2118, ..., -0.1313, 0.0481, 0.0038]
INFO:root:[2][961/2187] Loss_D: 0.3429 Loss_G: 2.2289 R1: 0.0334 R2: 0.0333 w_avg: [ 0.1894, 0.2173, 0.2118, ..., -0.1313, 0.0483, 0.0035]
INFO:root:[2][962/2187] Loss_D: 0.2941 Loss_G: 1.9797 R1: 0.0313 R2: 0.0500 w_avg: [ 0.1893, 0.2169, 0.2117, ..., -0.1312, 0.0484, 0.0032]
INFO:root:[2][963/2187] Loss_D: 0.3202 Loss_G: 2.3430 R1: 0.0398 R2: 0.0317 w_avg: [ 0.1890, 0.2167, 0.2117, ..., -0.1312, 0.0485, 0.0032]
INFO:root:[2][964/2187] Loss_D: 0.2336 Loss_G: 3.4991 R1: 0.0468 R2: 0.0438 w_avg: [ 0.1888, 0.2169, 0.2114, ..., -0.1312, 0.0481, 0.0032]
INFO:root:[2][965/2187] Loss_D: 0.2644 Loss_G: 2.8600 R1: 0.0468 R2: 0.0206 w_avg: [ 0.1896, 0.2169, 0.2123, ..., -0.1311, 0.0486, 0.0032]
INFO:root:[2][966/2187] Loss_D: 0.1805 Loss_G: 3.0037 R1: 0.0413 R2: 0.0239 w_avg: [ 0.1893, 0.2167, 0.2130, ..., -0.1311, 0.0483, 0.0032]
INFO:root:[2][967/2187] Loss_D: 0.2939 Loss_G: 2.0041 R1: 0.0366 R2: 0.0352 w_avg: [ 0.1893, 0.2168, 0.2132, ..., -0.1312, 0.0483, 0.0031]
INFO:root:[2][968/2187] Loss_D: 0.3911 Loss_G: 2.6768 R1: 0.0389 R2: 0.0457 w_avg: [ 0.1892, 0.2165, 0.2128, ..., -0.1310, 0.0481, 0.0029]
INFO:root:[2][969/2187] Loss_D: 0.2347 Loss_G: 2.4184 R1: 0.0401 R2: 0.0317 w_avg: [ 0.1889, 0.2163, 0.2128, ..., -0.1311, 0.0483, 0.0029]
INFO:root:[2][970/2187] Loss_D: 0.2649 Loss_G: 2.0790 R1: 0.0390 R2: 0.0390 w_avg: [ 0.1885, 0.2161, 0.2124, ..., -0.1311, 0.0478, 0.0027]
INFO:root:[2][971/2187] Loss_D: 0.4301 Loss_G: 2.1649 R1: 0.0477 R2: 0.0388 w_avg: [ 0.1882, 0.2162, 0.2124, ..., -0.1312, 0.0476, 0.0024]
INFO:root:[2][972/2187] Loss_D: 0.3278 Loss_G: 2.4794 R1: 0.0398 R2: 0.0350 w_avg: [ 0.1882, 0.2163, 0.2123, ..., -0.1313, 0.0479, 0.0023]
INFO:root:[2][973/2187] Loss_D: 0.3192 Loss_G: 2.7376 R1: 0.0473 R2: 0.0478 w_avg: [ 0.1885, 0.2163, 0.2124, ..., -0.1314, 0.0480, 0.0022]
INFO:root:[2][974/2187] Loss_D: 0.3045 Loss_G: 2.0105 R1: 0.0452 R2: 0.0584 w_avg: [ 0.1882, 0.2159, 0.2121, ..., -0.1312, 0.0477, 0.0021]
INFO:root:[2][975/2187] Loss_D: 0.2949 Loss_G: 2.8466 R1: 0.0508 R2: 0.0477 w_avg: [ 0.1884, 0.2158, 0.2119, ..., -0.1312, 0.0479, 0.0022]
INFO:root:[2][976/2187] Loss_D: 0.3031 Loss_G: 2.4978 R1: 0.0476 R2: 0.0426 w_avg: [ 0.1883, 0.2161, 0.2118, ..., -0.1313, 0.0483, 0.0019]
INFO:root:[2][977/2187] Loss_D: 0.2787 Loss_G: 2.3458 R1: 0.0418 R2: 0.0586 w_avg: [ 0.1886, 0.2158, 0.2115, ..., -0.1314, 0.0487, 0.0021]
INFO:root:[2][978/2187] Loss_D: 0.3949 Loss_G: 3.1436 R1: 0.0464 R2: 0.0261 w_avg: [ 0.1883, 0.2158, 0.2109, ..., -0.1313, 0.0485, 0.0024]
INFO:root:[2][979/2187] Loss_D: 0.1699 Loss_G: 2.4943 R1: 0.0380 R2: 0.0293 w_avg: [ 0.1885, 0.2162, 0.2106, ..., -0.1312, 0.0485, 0.0024]
INFO:root:[2][980/2187] Loss_D: 0.3163 Loss_G: 3.1710 R1: 0.0373 R2: 0.0510 w_avg: [ 0.1884, 0.2158, 0.2103, ..., -0.1313, 0.0488, 0.0023]
INFO:root:[2][981/2187] Loss_D: 0.2885 Loss_G: 2.5978 R1: 0.0393 R2: 0.0439 w_avg: [ 0.1884, 0.2155, 0.2109, ..., -0.1315, 0.0492, 0.0020]
INFO:root:[2][982/2187] Loss_D: 0.3379 Loss_G: 1.9754 R1: 0.0382 R2: 0.0498 w_avg: [ 0.1884, 0.2162, 0.2107, ..., -0.1316, 0.0491, 0.0020]
INFO:root:[2][983/2187] Loss_D: 0.3534 Loss_G: 2.4974 R1: 0.0407 R2: 0.0415 w_avg: [ 0.1890, 0.2161, 0.2107, ..., -0.1317, 0.0492, 0.0020]
INFO:root:[2][984/2187] Loss_D: 0.4042 Loss_G: 2.9125 R1: 0.0426 R2: 0.0552 w_avg: [ 0.1890, 0.2161, 0.2107, ..., -0.1316, 0.0492, 0.0022]
INFO:root:[2][985/2187] Loss_D: 0.3365 Loss_G: 3.0129 R1: 0.0448 R2: 0.0297 w_avg: [ 0.1889, 0.2161, 0.2115, ..., -0.1316, 0.0494, 0.0019]
INFO:root:[2][986/2187] Loss_D: 0.2747 Loss_G: 2.7129 R1: 0.0441 R2: 0.0372 w_avg: [ 0.1888, 0.2161, 0.2114, ..., -0.1317, 0.0493, 0.0018]
INFO:root:[2][987/2187] Loss_D: 0.1779 Loss_G: 2.2283 R1: 0.0390 R2: 0.0286 w_avg: [ 0.1888, 0.2158, 0.2111, ..., -0.1317, 0.0497, 0.0016]
INFO:root:[2][988/2187] Loss_D: 0.2754 Loss_G: 2.0981 R1: 0.0381 R2: 0.0434 w_avg: [ 0.1887, 0.2156, 0.2106, ..., -0.1318, 0.0495, 0.0015]
INFO:root:[2][989/2187] Loss_D: 0.1791 Loss_G: 2.1180 R1: 0.0454 R2: 0.0395 w_avg: [ 0.1887, 0.2160, 0.2109, ..., -0.1317, 0.0496, 0.0013]
INFO:root:[2][990/2187] Loss_D: 0.2659 Loss_G: 2.6820 R1: 0.0464 R2: 0.0410 w_avg: [ 0.1885, 0.2159, 0.2113, ..., -0.1316, 0.0497, 0.0010]
INFO:root:[2][991/2187] Loss_D: 0.3533 Loss_G: 1.8057 R1: 0.0425 R2: 0.0354 w_avg: [ 0.1887, 0.2156, 0.2115, ..., -0.1315, 0.0497, 0.0008]
INFO:root:[2][992/2187] Loss_D: 0.4713 Loss_G: 2.5465 R1: 0.0446 R2: 0.0540 w_avg: [ 0.1891, 0.2155, 0.2119, ..., -0.1317, 0.0498, 0.0006]
INFO:root:[2][993/2187] Loss_D: 0.3564 Loss_G: 2.6153 R1: 0.0430 R2: 0.0404 w_avg: [ 0.1886, 0.2152, 0.2122, ..., -0.1318, 0.0497, 0.0003]
INFO:root:[2][994/2187] Loss_D: 0.3081 Loss_G: 2.4465 R1: 0.0471 R2: 0.0228 w_avg: [ 0.1892, 0.2152, 0.2124, ..., -0.1319, 0.0500, 0.0002]
INFO:root:[2][995/2187] Loss_D: 0.3757 Loss_G: 2.4300 R1: 0.0415 R2: 0.0547 w_avg: [ 0.1888, 0.2148, 0.2118, ..., -0.1320, 0.0502, 0.0005]
INFO:root:[2][996/2187] Loss_D: 0.4806 Loss_G: 2.2372 R1: 0.0511 R2: 0.0286 w_avg: [ 0.1885, 0.2147, 0.2117, ..., -0.1320, 0.0501, 0.0008]
INFO:root:[2][997/2187] Loss_D: 0.2532 Loss_G: 2.4618 R1: 0.0444 R2: 0.0237 w_avg: [ 0.1891, 0.2149, 0.2120, ..., -0.1321, 0.0504, 0.0006]
INFO:root:[2][998/2187] Loss_D: 0.2371 Loss_G: 2.3691 R1: 0.0486 R2: 0.0367 w_avg: [ 0.1898, 0.2154, 0.2115, ..., -0.1323, 0.0505, 0.0006]
INFO:root:[2][999/2187] Loss_D: 0.2940 Loss_G: 2.9752 R1: 0.0412 R2: 0.0501 w_avg: [ 0.1897, 0.2153, 0.2117, ..., -0.1320, 0.0504, 0.0007]
INFO:root:[2][1000/2187] Loss_D: 0.2960 Loss_G: 2.0513 R1: 0.0405 R2: 0.0523 w_avg: [ 0.1896, 0.2153, 0.2116, ..., -0.1320, 0.0500, 0.0005]
INFO:root:[2][1001/2187] Loss_D: 0.3438 Loss_G: 2.4304 R1: 0.0387 R2: 0.0495 w_avg: [ 0.1899, 0.2153, 0.2119, ..., -0.1320, 0.0498, 0.0004]
INFO:root:[2][1002/2187] Loss_D: 0.5053 Loss_G: 1.6342 R1: 0.0455 R2: 0.0471 w_avg: [ 0.1898, 0.2154, 0.2122, ..., -0.1322, 0.0497, 0.0003]
INFO:root:[2][1003/2187] Loss_D: 0.3495 Loss_G: 2.4079 R1: 0.0460 R2: 0.0238 w_avg: [ 0.1897, 0.2152, 0.2124, ..., -0.1321, 0.0500, 0.0002]
INFO:root:[2][1004/2187] Loss_D: 0.4477 Loss_G: 2.6945 R1: 0.0429 R2: 0.0314 w_avg: [ 1.8962e-01, 2.1530e-01, 2.1227e-01, ..., -1.3218e-01,
4.9948e-02, 1.7693e-04]
INFO:root:[2][1005/2187] Loss_D: 0.2779 Loss_G: 2.3500 R1: 0.0396 R2: 0.0301 w_avg: [ 1.8958e-01, 2.1555e-01, 2.1222e-01, ..., -1.3228e-01,
5.0392e-02, 7.1848e-05]
INFO:root:[2][1006/2187] Loss_D: 0.2795 Loss_G: 2.5816 R1: 0.0443 R2: 0.0342 w_avg: [ 1.8954e-01, 2.1574e-01, 2.1239e-01, ..., -1.3219e-01,
5.0210e-02, 1.0538e-04]
INFO:root:[2][1007/2187] Loss_D: 0.2921 Loss_G: 2.8574 R1: 0.0447 R2: 0.0318 w_avg: [ 1.8941e-01, 2.1555e-01, 2.1254e-01, ..., -1.3214e-01,
5.0116e-02, -6.8724e-05]
INFO:root:[2][1008/2187] Loss_D: 0.3408 Loss_G: 2.2536 R1: 0.0409 R2: 0.0376 w_avg: [ 1.8956e-01, 2.1552e-01, 2.1232e-01, ..., -1.3199e-01,
5.0037e-02, 1.3433e-04]
INFO:root:[2][1009/2187] Loss_D: 0.2596 Loss_G: 2.3054 R1: 0.0446 R2: 0.0525 w_avg: [ 0.1895, 0.2152, 0.2123, ..., -0.1321, 0.0501, 0.0002]
INFO:root:[2][1010/2187] Loss_D: 0.2399 Loss_G: 2.4435 R1: 0.0448 R2: 0.0319 w_avg: [ 0.1893, 0.2152, 0.2123, ..., -0.1317, 0.0500, 0.0004]
INFO:root:[2][1011/2187] Loss_D: 0.2305 Loss_G: 2.5473 R1: 0.0418 R2: 0.0328 w_avg: [ 0.1892, 0.2152, 0.2125, ..., -0.1316, 0.0501, 0.0002]
INFO:root:[2][1012/2187] Loss_D: 0.4728 Loss_G: 2.8523 R1: 0.0386 R2: 0.0456 w_avg: [ 0.1894, 0.2150, 0.2125, ..., -0.1315, 0.0501, 0.0003]
INFO:root:[2][1013/2187] Loss_D: 0.2914 Loss_G: 2.1796 R1: 0.0449 R2: 0.0358 w_avg: [ 1.8932e-01, 2.1513e-01, 2.1270e-01, ..., -1.3141e-01,
4.9986e-02, 2.1257e-04]
INFO:root:[2][1014/2187] Loss_D: 0.1995 Loss_G: 1.7154 R1: 0.0440 R2: 0.0252 w_avg: [ 1.8872e-01, 2.1502e-01, 2.1273e-01, ..., -1.3141e-01,
4.9798e-02, 2.0536e-04]
INFO:root:[2][1015/2187] Loss_D: 0.3301 Loss_G: 2.8085 R1: 0.0469 R2: 0.0425 w_avg: [ 1.8863e-01, 2.1522e-01, 2.1266e-01, ..., -1.3130e-01,
4.9944e-02, 1.8062e-04]
INFO:root:[2][1016/2187] Loss_D: 0.2819 Loss_G: 2.2877 R1: 0.0504 R2: 0.0370 w_avg: [ 1.8859e-01, 2.1486e-01, 2.1292e-01, ..., -1.3122e-01,
4.9946e-02, 1.6487e-04]
INFO:root:[2][1017/2187] Loss_D: 0.2714 Loss_G: 2.0187 R1: 0.0426 R2: 0.0461 w_avg: [ 1.8930e-01, 2.1524e-01, 2.1318e-01, ..., -1.3123e-01,
5.0248e-02, 1.0905e-04]
INFO:root:[2][1018/2187] Loss_D: 0.2862 Loss_G: 2.2544 R1: 0.0491 R2: 0.0444 w_avg: [ 1.8925e-01, 2.1515e-01, 2.1307e-01, ..., -1.3141e-01,
5.0194e-02, -4.0451e-05]
INFO:root:[2][1019/2187] Loss_D: 0.4579 Loss_G: 2.4899 R1: 0.0474 R2: 0.0503 w_avg: [ 0.1890, 0.2148, 0.2127, ..., -0.1313, 0.0503, -0.0003]
INFO:root:[2][1020/2187] Loss_D: 0.2854 Loss_G: 2.4955 R1: 0.0520 R2: 0.0341 w_avg: [ 0.1887, 0.2147, 0.2128, ..., -0.1314, 0.0500, -0.0004]
INFO:root:[2][1021/2187] Loss_D: 0.2327 Loss_G: 2.4536 R1: 0.0452 R2: 0.0253 w_avg: [ 0.1888, 0.2145, 0.2127, ..., -0.1316, 0.0500, -0.0002]
INFO:root:[2][1022/2187] Loss_D: 0.3637 Loss_G: 2.5490 R1: 0.0468 R2: 0.0395 w_avg: [ 1.8950e-01, 2.1463e-01, 2.1265e-01, ..., -1.3148e-01,
4.9846e-02, -1.8897e-04]
INFO:root:[2][1023/2187] Loss_D: 0.2646 Loss_G: 2.2096 R1: 0.0386 R2: 0.0415 w_avg: [ 0.1894, 0.2146, 0.2130, ..., -0.1315, 0.0495, -0.0002]
INFO:root:[2][1024/2187] Loss_D: 0.4373 Loss_G: 2.2257 R1: 0.0470 R2: 0.0510 w_avg: [ 1.8979e-01, 2.1480e-01, 2.1307e-01, ..., -1.3147e-01,
4.9922e-02, -1.7022e-04]
INFO:root:[2][1025/2187] Loss_D: 0.3068 Loss_G: 2.1591 R1: 0.0419 R2: 0.0407 w_avg: [ 0.1899, 0.2144, 0.2133, ..., -0.1315, 0.0504, -0.0004]
INFO:root:[2][1026/2187] Loss_D: 0.2680 Loss_G: 2.0472 R1: 0.0394 R2: 0.0388 w_avg: [ 0.1900, 0.2143, 0.2133, ..., -0.1316, 0.0506, -0.0007]
INFO:root:[2][1027/2187] Loss_D: 0.3886 Loss_G: 2.4578 R1: 0.0389 R2: 0.0418 w_avg: [ 0.1896, 0.2141, 0.2129, ..., -0.1315, 0.0504, -0.0005]
INFO:root:[2][1028/2187] Loss_D: 0.3204 Loss_G: 2.3727 R1: 0.0442 R2: 0.0401 w_avg: [ 0.1900, 0.2145, 0.2131, ..., -0.1315, 0.0503, -0.0004]
INFO:root:[2][1029/2187] Loss_D: 0.3262 Loss_G: 2.4764 R1: 0.0431 R2: 0.0450 w_avg: [ 0.1900, 0.2143, 0.2133, ..., -0.1315, 0.0502, -0.0004]
INFO:root:[2][1030/2187] Loss_D: 0.4587 Loss_G: 2.6542 R1: 0.0500 R2: 0.0436 w_avg: [ 1.8956e-01, 2.1420e-01, 2.1300e-01, ..., -1.3158e-01,
5.0267e-02, -1.8626e-04]
INFO:root:[2][1031/2187] Loss_D: 0.3517 Loss_G: 2.1785 R1: 0.0443 R2: 0.0305 w_avg: [ 1.8948e-01, 2.1423e-01, 2.1274e-01, ..., -1.3143e-01,
5.0529e-02, 3.9695e-05]
INFO:root:[2][1032/2187] Loss_D: 0.2639 Loss_G: 2.6622 R1: 0.0428 R2: 0.0377 w_avg: [ 1.8979e-01, 2.1411e-01, 2.1247e-01, ..., -1.3150e-01,
5.0863e-02, 1.9154e-04]
INFO:root:[2][1033/2187] Loss_D: 0.2907 Loss_G: 2.3775 R1: 0.0453 R2: 0.0347 w_avg: [ 1.8984e-01, 2.1386e-01, 2.1240e-01, ..., -1.3159e-01,
5.0642e-02, 5.3147e-05]
INFO:root:[2][1034/2187] Loss_D: 0.3278 Loss_G: 2.5522 R1: 0.0481 R2: 0.0431 w_avg: [ 1.8936e-01, 2.1415e-01, 2.1275e-01, ..., -1.3163e-01,
5.0654e-02, -6.4162e-05]
INFO:root:[2][1035/2187] Loss_D: 0.2793 Loss_G: 2.6356 R1: 0.0474 R2: 0.0327 w_avg: [ 0.1898, 0.2144, 0.2126, ..., -0.1315, 0.0506, -0.0004]
INFO:root:[2][1036/2187] Loss_D: 0.1785 Loss_G: 2.5237 R1: 0.0438 R2: 0.0308 w_avg: [ 0.1893, 0.2144, 0.2123, ..., -0.1316, 0.0507, -0.0004]
INFO:root:[2][1037/2187] Loss_D: 0.3074 Loss_G: 2.3375 R1: 0.0387 R2: 0.0422 w_avg: [ 0.1888, 0.2141, 0.2124, ..., -0.1316, 0.0509, -0.0004]
INFO:root:[2][1038/2187] Loss_D: 0.2909 Loss_G: 2.0900 R1: 0.0527 R2: 0.0300 w_avg: [ 0.1890, 0.2139, 0.2121, ..., -0.1316, 0.0510, -0.0007]
INFO:root:[2][1039/2187] Loss_D: 0.3361 Loss_G: 2.3365 R1: 0.0432 R2: 0.0507 w_avg: [ 0.1885, 0.2135, 0.2120, ..., -0.1318, 0.0509, -0.0008]
INFO:root:[2][1040/2187] Loss_D: 0.4422 Loss_G: 2.3272 R1: 0.0515 R2: 0.0516 w_avg: [ 0.1887, 0.2137, 0.2120, ..., -0.1319, 0.0509, -0.0010]
INFO:root:[2][1041/2187] Loss_D: 0.3714 Loss_G: 2.3687 R1: 0.0468 R2: 0.0387 w_avg: [ 0.1890, 0.2141, 0.2124, ..., -0.1320, 0.0509, -0.0009]
INFO:root:[2][1042/2187] Loss_D: 0.2704 Loss_G: 2.9505 R1: 0.0480 R2: 0.0359 w_avg: [ 0.1893, 0.2140, 0.2120, ..., -0.1320, 0.0512, -0.0011]
INFO:root:[2][1043/2187] Loss_D: 0.2911 Loss_G: 2.5565 R1: 0.0441 R2: 0.0320 w_avg: [ 0.1891, 0.2141, 0.2120, ..., -0.1318, 0.0511, -0.0011]
INFO:root:[2][1044/2187] Loss_D: 0.2329 Loss_G: 2.7608 R1: 0.0414 R2: 0.0373 w_avg: [ 0.1889, 0.2138, 0.2120, ..., -0.1316, 0.0509, -0.0011]
INFO:root:[2][1045/2187] Loss_D: 0.2255 Loss_G: 2.7052 R1: 0.0433 R2: 0.0416 w_avg: [ 0.1890, 0.2136, 0.2121, ..., -0.1317, 0.0507, -0.0012]
INFO:root:[2][1046/2187] Loss_D: 0.2156 Loss_G: 3.7519 R1: 0.0414 R2: 0.0470 w_avg: [ 0.1885, 0.2135, 0.2120, ..., -0.1314, 0.0510, -0.0013]
INFO:root:[2][1047/2187] Loss_D: 0.2479 Loss_G: 3.3135 R1: 0.0518 R2: 0.0465 w_avg: [ 0.1885, 0.2134, 0.2120, ..., -0.1314, 0.0512, -0.0015]
INFO:root:[2][1048/2187] Loss_D: 0.1956 Loss_G: 2.8646 R1: 0.0365 R2: 0.0421 w_avg: [ 0.1888, 0.2134, 0.2118, ..., -0.1314, 0.0514, -0.0016]
INFO:root:[2][1049/2187] Loss_D: 0.2144 Loss_G: 3.2522 R1: 0.0437 R2: 0.0450 w_avg: [ 0.1886, 0.2133, 0.2122, ..., -0.1315, 0.0512, -0.0016]
INFO:root:[2][1050/2187] Loss_D: 0.1808 Loss_G: 3.0304 R1: 0.0396 R2: 0.0385 w_avg: [ 0.1891, 0.2132, 0.2119, ..., -0.1314, 0.0518, -0.0017]
INFO:root:[2][1051/2187] Loss_D: 0.3879 Loss_G: 2.8183 R1: 0.0511 R2: 0.0472 w_avg: [ 0.1887, 0.2130, 0.2117, ..., -0.1316, 0.0522, -0.0016]
INFO:root:[2][1052/2187] Loss_D: 0.3187 Loss_G: 2.1878 R1: 0.0506 R2: 0.0523 w_avg: [ 0.1883, 0.2126, 0.2112, ..., -0.1317, 0.0523, -0.0013]
INFO:root:[2][1053/2187] Loss_D: 0.2655 Loss_G: 3.1653 R1: 0.0354 R2: 0.0486 w_avg: [ 0.1887, 0.2129, 0.2108, ..., -0.1318, 0.0522, -0.0013]
INFO:root:[2][1054/2187] Loss_D: 0.3426 Loss_G: 2.8947 R1: 0.0377 R2: 0.0681 w_avg: [ 0.1886, 0.2132, 0.2108, ..., -0.1320, 0.0521, -0.0010]
INFO:root:[2][1055/2187] Loss_D: 0.1955 Loss_G: 2.7158 R1: 0.0435 R2: 0.0311 w_avg: [ 0.1883, 0.2129, 0.2104, ..., -0.1321, 0.0522, -0.0011]
INFO:root:[2][1056/2187] Loss_D: 0.2691 Loss_G: 2.9640 R1: 0.0505 R2: 0.0431 w_avg: [ 0.1880, 0.2132, 0.2101, ..., -0.1320, 0.0523, -0.0011]
INFO:root:[2][1057/2187] Loss_D: 0.2660 Loss_G: 2.3229 R1: 0.0351 R2: 0.0511 w_avg: [ 0.1878, 0.2132, 0.2100, ..., -0.1319, 0.0522, -0.0005]
INFO:root:[2][1058/2187] Loss_D: 0.2221 Loss_G: 2.2160 R1: 0.0409 R2: 0.0465 w_avg: [ 0.1878, 0.2136, 0.2102, ..., -0.1320, 0.0521, -0.0006]
INFO:root:[2][1059/2187] Loss_D: 0.1890 Loss_G: 2.4593 R1: 0.0517 R2: 0.0410 w_avg: [ 0.1879, 0.2137, 0.2100, ..., -0.1320, 0.0520, -0.0006]
INFO:root:[2][1060/2187] Loss_D: 0.2823 Loss_G: 2.2986 R1: 0.0534 R2: 0.0513 w_avg: [ 1.8761e-01, 2.1352e-01, 2.0978e-01, ..., -1.3204e-01,
5.2059e-02, -4.4805e-05]
INFO:root:[2][1061/2187] Loss_D: 0.3808 Loss_G: 2.5272 R1: 0.0540 R2: 0.0504 w_avg: [ 0.1881, 0.2136, 0.2095, ..., -0.1320, 0.0518, 0.0002]
INFO:root:[2][1062/2187] Loss_D: 0.3511 Loss_G: 2.2873 R1: 0.0378 R2: 0.0399 w_avg: [ 0.1876, 0.2140, 0.2092, ..., -0.1320, 0.0514, 0.0005]
INFO:root:[2][1063/2187] Loss_D: 0.2638 Loss_G: 2.4767 R1: 0.0423 R2: 0.0296 w_avg: [ 0.1876, 0.2136, 0.2091, ..., -0.1319, 0.0513, 0.0007]
INFO:root:[2][1064/2187] Loss_D: 0.2740 Loss_G: 2.4908 R1: 0.0456 R2: 0.0256 w_avg: [ 0.1878, 0.2134, 0.2092, ..., -0.1320, 0.0517, 0.0004]
INFO:root:[2][1065/2187] Loss_D: 0.2397 Loss_G: 3.1508 R1: 0.0434 R2: 0.0318 w_avg: [ 0.1881, 0.2134, 0.2092, ..., -0.1320, 0.0517, 0.0004]
INFO:root:[2][1066/2187] Loss_D: 0.2584 Loss_G: 2.7151 R1: 0.0449 R2: 0.0517 w_avg: [ 0.1881, 0.2132, 0.2094, ..., -0.1320, 0.0517, 0.0004]
INFO:root:[2][1067/2187] Loss_D: 0.3132 Loss_G: 2.1154 R1: 0.0418 R2: 0.0459 w_avg: [ 0.1880, 0.2132, 0.2094, ..., -0.1320, 0.0516, 0.0003]
INFO:root:[2][1068/2187] Loss_D: 0.3494 Loss_G: 2.5011 R1: 0.0360 R2: 0.0780 w_avg: [ 0.1880, 0.2130, 0.2095, ..., -0.1320, 0.0516, 0.0002]
INFO:root:[2][1069/2187] Loss_D: 0.7145 Loss_G: 2.3268 R1: 0.0539 R2: 0.0524 w_avg: [ 0.1878, 0.2125, 0.2092, ..., -0.1320, 0.0516, 0.0003]
INFO:root:[2][1070/2187] Loss_D: 0.2729 Loss_G: 2.1268 R1: 0.0409 R2: 0.0317 w_avg: [ 0.1875, 0.2128, 0.2091, ..., -0.1320, 0.0515, 0.0003]
INFO:root:[2][1071/2187] Loss_D: 0.3770 Loss_G: 2.0129 R1: 0.0455 R2: 0.0275 w_avg: [ 1.8730e-01, 2.1263e-01, 2.0895e-01, ..., -1.3192e-01,
5.1294e-02, 1.4048e-04]
INFO:root:[2][1072/2187] Loss_D: 0.3323 Loss_G: 2.6554 R1: 0.0419 R2: 0.0389 w_avg: [ 1.8709e-01, 2.1295e-01, 2.0888e-01, ..., -1.3171e-01,
5.1180e-02, 1.9597e-04]
INFO:root:[2][1073/2187] Loss_D: 0.2206 Loss_G: 2.3583 R1: 0.0473 R2: 0.0244 w_avg: [ 0.1870, 0.2126, 0.2082, ..., -0.1319, 0.0513, 0.0006]
INFO:root:[2][1074/2187] Loss_D: 0.3792 Loss_G: 3.1858 R1: 0.0504 R2: 0.0361 w_avg: [ 0.1870, 0.2126, 0.2080, ..., -0.1320, 0.0514, 0.0005]
INFO:root:[2][1075/2187] Loss_D: 0.1688 Loss_G: 2.8515 R1: 0.0357 R2: 0.0363 w_avg: [ 0.1865, 0.2126, 0.2078, ..., -0.1318, 0.0512, 0.0009]
INFO:root:[2][1076/2187] Loss_D: 0.2069 Loss_G: 2.5855 R1: 0.0434 R2: 0.0471 w_avg: [ 0.1867, 0.2127, 0.2078, ..., -0.1317, 0.0515, 0.0009]
INFO:root:[2][1077/2187] Loss_D: 0.2040 Loss_G: 2.6572 R1: 0.0366 R2: 0.0474 w_avg: [ 0.1868, 0.2126, 0.2083, ..., -0.1319, 0.0513, 0.0008]
INFO:root:[2][1078/2187] Loss_D: 0.5963 Loss_G: 1.8694 R1: 0.0445 R2: 0.0494 w_avg: [ 0.1872, 0.2125, 0.2089, ..., -0.1321, 0.0515, 0.0007]
INFO:root:[2][1079/2187] Loss_D: 0.2424 Loss_G: 2.0317 R1: 0.0510 R2: 0.0178 w_avg: [ 0.1871, 0.2129, 0.2097, ..., -0.1320, 0.0516, 0.0006]
INFO:root:[2][1080/2187] Loss_D: 0.1892 Loss_G: 2.3653 R1: 0.0489 R2: 0.0242 w_avg: [ 0.1867, 0.2126, 0.2098, ..., -0.1321, 0.0515, 0.0006]
INFO:root:[2][1081/2187] Loss_D: 0.3291 Loss_G: 2.2602 R1: 0.0422 R2: 0.0410 w_avg: [ 0.1864, 0.2124, 0.2094, ..., -0.1322, 0.0514, 0.0009]
INFO:root:[2][1082/2187] Loss_D: 0.2700 Loss_G: 2.7899 R1: 0.0433 R2: 0.0254 w_avg: [ 0.1865, 0.2121, 0.2093, ..., -0.1322, 0.0514, 0.0006]
INFO:root:[2][1083/2187] Loss_D: 0.2359 Loss_G: 2.4129 R1: 0.0472 R2: 0.0355 w_avg: [ 0.1860, 0.2121, 0.2093, ..., -0.1323, 0.0514, 0.0005]
INFO:root:[2][1084/2187] Loss_D: 0.3760 Loss_G: 3.1851 R1: 0.0475 R2: 0.0445 w_avg: [ 0.1862, 0.2116, 0.2090, ..., -0.1324, 0.0516, 0.0002]
INFO:root:[2][1085/2187] Loss_D: 0.2202 Loss_G: 2.8349 R1: 0.0382 R2: 0.0366 w_avg: [ 1.8641e-01, 2.1140e-01, 2.0883e-01, ..., -1.3243e-01,
5.1753e-02, 1.2023e-04]
INFO:root:[2][1086/2187] Loss_D: 0.4499 Loss_G: 2.9472 R1: 0.0455 R2: 0.0523 w_avg: [ 1.8618e-01, 2.1126e-01, 2.0844e-01, ..., -1.3243e-01,
5.1864e-02, -6.8306e-05]
INFO:root:[2][1087/2187] Loss_D: 0.2501 Loss_G: 2.1884 R1: 0.0332 R2: 0.0417 w_avg: [ 0.1862, 0.2113, 0.2085, ..., -0.1324, 0.0520, 0.0003]
INFO:root:[2][1088/2187] Loss_D: 0.3622 Loss_G: 2.5996 R1: 0.0353 R2: 0.0432 w_avg: [ 0.1864, 0.2115, 0.2095, ..., -0.1324, 0.0521, 0.0003]
INFO:root:[2][1089/2187] Loss_D: 0.4076 Loss_G: 2.0949 R1: 0.0409 R2: 0.0494 w_avg: [ 0.1862, 0.2113, 0.2095, ..., -0.1326, 0.0519, 0.0003]
INFO:root:[2][1090/2187] Loss_D: 0.3580 Loss_G: 2.1561 R1: 0.0454 R2: 0.0424 w_avg: [ 1.8620e-01, 2.1142e-01, 2.0930e-01, ..., -1.3261e-01,
5.1892e-02, 1.4076e-04]
INFO:root:[2][1091/2187] Loss_D: 0.3798 Loss_G: 2.3963 R1: 0.0415 R2: 0.0549 w_avg: [ 1.8590e-01, 2.1121e-01, 2.0936e-01, ..., -1.3272e-01,
5.2130e-02, -8.2008e-06]
INFO:root:[2][1092/2187] Loss_D: 0.3125 Loss_G: 2.3685 R1: 0.0540 R2: 0.0298 w_avg: [ 1.8605e-01, 2.1169e-01, 2.0954e-01, ..., -1.3254e-01,
5.2360e-02, -6.9564e-06]
INFO:root:[2][1093/2187] Loss_D: 0.3550 Loss_G: 2.7639 R1: 0.0388 R2: 0.0389 w_avg: [ 1.8647e-01, 2.1127e-01, 2.0954e-01, ..., -1.3260e-01,
5.2734e-02, -1.5762e-04]
INFO:root:[2][1094/2187] Loss_D: 0.2110 Loss_G: 3.0006 R1: 0.0438 R2: 0.0285 w_avg: [ 0.1865, 0.2113, 0.2095, ..., -0.1327, 0.0528, 0.0003]
INFO:root:[2][1095/2187] Loss_D: 0.2245 Loss_G: 2.0802 R1: 0.0451 R2: 0.0299 w_avg: [ 1.8639e-01, 2.1109e-01, 2.0915e-01, ..., -1.3278e-01,
5.2852e-02, 7.8091e-05]
INFO:root:[2][1096/2187] Loss_D: 0.3017 Loss_G: 2.3797 R1: 0.0464 R2: 0.0335 w_avg: [ 1.8634e-01, 2.1094e-01, 2.0887e-01, ..., -1.3275e-01,
5.3074e-02, -8.1702e-05]
INFO:root:[2][1097/2187] Loss_D: 0.3215 Loss_G: 2.6120 R1: 0.0417 R2: 0.0325 w_avg: [ 1.8650e-01, 2.1087e-01, 2.0891e-01, ..., -1.3271e-01,
5.2772e-02, -1.8215e-05]
INFO:root:[2][1098/2187] Loss_D: 0.3292 Loss_G: 2.4540 R1: 0.0467 R2: 0.0237 w_avg: [ 1.8649e-01, 2.1091e-01, 2.0903e-01, ..., -1.3270e-01,
5.3035e-02, 5.3495e-05]
INFO:root:[2][1099/2187] Loss_D: 0.3301 Loss_G: 2.9760 R1: 0.0395 R2: 0.0327 w_avg: [ 1.8681e-01, 2.1108e-01, 2.0909e-01, ..., -1.3287e-01,
5.2980e-02, -1.9252e-04]
INFO:root:[2][1100/2187] Loss_D: 0.3103 Loss_G: 2.4007 R1: 0.0480 R2: 0.0319 w_avg: [ 1.8659e-01, 2.1130e-01, 2.0916e-01, ..., -1.3271e-01,
5.2911e-02, 1.3877e-04]
INFO:root:[2][1101/2187] Loss_D: 0.2683 Loss_G: 2.4553 R1: 0.0478 R2: 0.0283 w_avg: [ 1.8677e-01, 2.1161e-01, 2.0924e-01, ..., -1.3272e-01,
5.3257e-02, -1.7326e-04]
INFO:root:[2][1102/2187] Loss_D: 0.2803 Loss_G: 2.8739 R1: 0.0486 R2: 0.0349 w_avg: [ 0.1871, 0.2119, 0.2096, ..., -0.1328, 0.0532, -0.0004]
INFO:root:[2][1103/2187] Loss_D: 0.3822 Loss_G: 2.3065 R1: 0.0425 R2: 0.0373 w_avg: [ 0.1870, 0.2118, 0.2097, ..., -0.1328, 0.0534, -0.0004]
INFO:root:[2][1104/2187] Loss_D: 0.2839 Loss_G: 2.1818 R1: 0.0498 R2: 0.0462 w_avg: [ 0.1868, 0.2118, 0.2097, ..., -0.1329, 0.0535, -0.0004]
INFO:root:[2][1105/2187] Loss_D: 0.4274 Loss_G: 2.6960 R1: 0.0402 R2: 0.0424 w_avg: [ 0.1867, 0.2119, 0.2098, ..., -0.1328, 0.0535, -0.0005]
INFO:root:[2][1106/2187] Loss_D: 0.2231 Loss_G: 2.6462 R1: 0.0376 R2: 0.0338 w_avg: [ 0.1866, 0.2119, 0.2094, ..., -0.1329, 0.0534, -0.0006]
INFO:root:[2][1107/2187] Loss_D: 0.2115 Loss_G: 2.0457 R1: 0.0511 R2: 0.0299 w_avg: [ 0.1866, 0.2119, 0.2092, ..., -0.1326, 0.0532, -0.0006]
INFO:root:[2][1108/2187] Loss_D: 0.2713 Loss_G: 2.1870 R1: 0.0493 R2: 0.0388 w_avg: [ 0.1867, 0.2117, 0.2093, ..., -0.1327, 0.0535, -0.0009]
INFO:root:[2][1109/2187] Loss_D: 0.3584 Loss_G: 2.5338 R1: 0.0512 R2: 0.0552 w_avg: [ 0.1868, 0.2118, 0.2098, ..., -0.1326, 0.0534, -0.0010]
INFO:root:[2][1110/2187] Loss_D: 0.3252 Loss_G: 2.4090 R1: 0.0451 R2: 0.0484 w_avg: [ 0.1872, 0.2117, 0.2095, ..., -0.1328, 0.0532, -0.0008]
INFO:root:[2][1111/2187] Loss_D: 0.2565 Loss_G: 2.4312 R1: 0.0334 R2: 0.0529 w_avg: [ 0.1869, 0.2115, 0.2092, ..., -0.1327, 0.0531, -0.0007]
INFO:root:[2][1112/2187] Loss_D: 0.2314 Loss_G: 2.3424 R1: 0.0480 R2: 0.0354 w_avg: [ 0.1868, 0.2114, 0.2093, ..., -0.1327, 0.0531, -0.0007]
INFO:root:[2][1113/2187] Loss_D: 0.4382 Loss_G: 1.9418 R1: 0.0387 R2: 0.0458 w_avg: [ 0.1866, 0.2111, 0.2095, ..., -0.1329, 0.0535, -0.0008]
INFO:root:[2][1114/2187] Loss_D: 0.5382 Loss_G: 2.4789 R1: 0.0376 R2: 0.0576 w_avg: [ 0.1864, 0.2113, 0.2091, ..., -0.1331, 0.0537, -0.0004]
INFO:root:[2][1115/2187] Loss_D: 0.4074 Loss_G: 2.5579 R1: 0.0529 R2: 0.0400 w_avg: [ 0.1863, 0.2113, 0.2090, ..., -0.1329, 0.0536, -0.0005]
INFO:root:[2][1116/2187] Loss_D: 0.3298 Loss_G: 2.2217 R1: 0.0484 R2: 0.0319 w_avg: [ 0.1868, 0.2110, 0.2092, ..., -0.1330, 0.0540, -0.0004]
INFO:root:[2][1117/2187] Loss_D: 0.3096 Loss_G: 2.3171 R1: 0.0449 R2: 0.0400 w_avg: [ 0.1864, 0.2109, 0.2090, ..., -0.1332, 0.0541, -0.0004]
INFO:root:[2][1118/2187] Loss_D: 0.3438 Loss_G: 2.9321 R1: 0.0465 R2: 0.0326 w_avg: [ 0.1864, 0.2108, 0.2091, ..., -0.1332, 0.0544, -0.0006]
INFO:root:[2][1119/2187] Loss_D: 0.3867 Loss_G: 2.4128 R1: 0.0395 R2: 0.0424 w_avg: [ 0.1862, 0.2103, 0.2094, ..., -0.1333, 0.0549, -0.0007]
INFO:root:[2][1120/2187] Loss_D: 0.1963 Loss_G: 2.3238 R1: 0.0471 R2: 0.0201 w_avg: [ 0.1860, 0.2103, 0.2091, ..., -0.1335, 0.0552, -0.0006]
INFO:root:[2][1121/2187] Loss_D: 0.2839 Loss_G: 2.7631 R1: 0.0465 R2: 0.0405 w_avg: [ 0.1857, 0.2102, 0.2091, ..., -0.1335, 0.0550, -0.0007]
INFO:root:[2][1122/2187] Loss_D: 0.2420 Loss_G: 2.6603 R1: 0.0455 R2: 0.0323 w_avg: [ 0.1858, 0.2105, 0.2090, ..., -0.1335, 0.0550, -0.0008]
INFO:root:[2][1123/2187] Loss_D: 0.2953 Loss_G: 2.6425 R1: 0.0356 R2: 0.0466 w_avg: [ 0.1859, 0.2103, 0.2088, ..., -0.1335, 0.0549, -0.0007]
INFO:root:[2][1124/2187] Loss_D: 0.3795 Loss_G: 2.3404 R1: 0.0509 R2: 0.0250 w_avg: [ 0.1858, 0.2102, 0.2089, ..., -0.1335, 0.0546, -0.0007]
INFO:root:[2][1125/2187] Loss_D: 0.3565 Loss_G: 2.4969 R1: 0.0412 R2: 0.0410 w_avg: [ 0.1858, 0.2103, 0.2089, ..., -0.1335, 0.0548, -0.0009]
INFO:root:[2][1126/2187] Loss_D: 0.2579 Loss_G: 2.3178 R1: 0.0456 R2: 0.0510 w_avg: [ 0.1855, 0.2104, 0.2085, ..., -0.1336, 0.0546, -0.0010]
INFO:root:[2][1127/2187] Loss_D: 0.3643 Loss_G: 2.5784 R1: 0.0484 R2: 0.0346 w_avg: [ 0.1855, 0.2102, 0.2089, ..., -0.1333, 0.0547, -0.0009]
INFO:root:[2][1128/2187] Loss_D: 0.2595 Loss_G: 2.5604 R1: 0.0450 R2: 0.0385 w_avg: [ 0.1856, 0.2104, 0.2088, ..., -0.1334, 0.0550, -0.0012]
INFO:root:[2][1129/2187] Loss_D: 0.2817 Loss_G: 2.2429 R1: 0.0433 R2: 0.0344 w_avg: [ 0.1851, 0.2104, 0.2087, ..., -0.1334, 0.0550, -0.0015]
INFO:root:[2][1130/2187] Loss_D: 0.1969 Loss_G: 2.4777 R1: 0.0378 R2: 0.0463 w_avg: [ 0.1847, 0.2103, 0.2090, ..., -0.1334, 0.0553, -0.0017]
INFO:root:[2][1131/2187] Loss_D: 0.3149 Loss_G: 3.1898 R1: 0.0519 R2: 0.0361 w_avg: [ 0.1853, 0.2102, 0.2088, ..., -0.1331, 0.0551, -0.0017]
INFO:root:[2][1132/2187] Loss_D: 0.2155 Loss_G: 2.6991 R1: 0.0398 R2: 0.0501 w_avg: [ 0.1852, 0.2102, 0.2092, ..., -0.1331, 0.0548, -0.0015]
INFO:root:[2][1133/2187] Loss_D: 0.6122 Loss_G: 2.3338 R1: 0.0412 R2: 0.0578 w_avg: [ 0.1850, 0.2099, 0.2092, ..., -0.1332, 0.0550, -0.0015]
INFO:root:[2][1134/2187] Loss_D: 0.3663 Loss_G: 1.9094 R1: 0.0516 R2: 0.0342 w_avg: [ 0.1848, 0.2095, 0.2088, ..., -0.1334, 0.0550, -0.0013]
INFO:root:[2][1135/2187] Loss_D: 0.4184 Loss_G: 2.4163 R1: 0.0478 R2: 0.0442 w_avg: [ 0.1850, 0.2093, 0.2086, ..., -0.1336, 0.0551, -0.0015]
INFO:root:[2][1136/2187] Loss_D: 0.2333 Loss_G: 2.3059 R1: 0.0413 R2: 0.0320 w_avg: [ 0.1848, 0.2089, 0.2086, ..., -0.1337, 0.0552, -0.0014]
INFO:root:[2][1137/2187] Loss_D: 0.2289 Loss_G: 2.0765 R1: 0.0413 R2: 0.0455 w_avg: [ 0.1846, 0.2086, 0.2082, ..., -0.1337, 0.0551, -0.0014]
INFO:root:[2][1138/2187] Loss_D: 0.3396 Loss_G: 2.0900 R1: 0.0366 R2: 0.0475 w_avg: [ 0.1846, 0.2087, 0.2082, ..., -0.1336, 0.0550, -0.0014]
INFO:root:[2][1139/2187] Loss_D: 0.2209 Loss_G: 2.2246 R1: 0.0489 R2: 0.0349 w_avg: [ 0.1844, 0.2083, 0.2080, ..., -0.1334, 0.0552, -0.0014]
INFO:root:[2][1140/2187] Loss_D: 0.2491 Loss_G: 2.8004 R1: 0.0434 R2: 0.0287 w_avg: [ 0.1842, 0.2082, 0.2079, ..., -0.1336, 0.0551, -0.0016]
INFO:root:[2][1141/2187] Loss_D: 0.3973 Loss_G: 2.6417 R1: 0.0470 R2: 0.0381 w_avg: [ 0.1841, 0.2083, 0.2080, ..., -0.1338, 0.0553, -0.0017]
INFO:root:[2][1142/2187] Loss_D: 0.2374 Loss_G: 2.4410 R1: 0.0391 R2: 0.0433 w_avg: [ 0.1842, 0.2088, 0.2082, ..., -0.1339, 0.0552, -0.0018]
INFO:root:[2][1143/2187] Loss_D: 0.2871 Loss_G: 2.6785 R1: 0.0447 R2: 0.0440 w_avg: [ 0.1840, 0.2090, 0.2080, ..., -0.1341, 0.0551, -0.0021]
INFO:root:[2][1144/2187] Loss_D: 0.3138 Loss_G: 2.5399 R1: 0.0401 R2: 0.0440 w_avg: [ 0.1840, 0.2087, 0.2078, ..., -0.1341, 0.0548, -0.0018]
INFO:root:[2][1145/2187] Loss_D: 0.3481 Loss_G: 2.5073 R1: 0.0464 R2: 0.0588 w_avg: [ 0.1833, 0.2083, 0.2079, ..., -0.1338, 0.0549, -0.0019]
INFO:root:[2][1146/2187] Loss_D: 0.2886 Loss_G: 2.5455 R1: 0.0441 R2: 0.0365 w_avg: [ 0.1832, 0.2084, 0.2079, ..., -0.1338, 0.0552, -0.0023]
INFO:root:[2][1147/2187] Loss_D: 0.2801 Loss_G: 2.5102 R1: 0.0350 R2: 0.0467 w_avg: [ 0.1830, 0.2084, 0.2080, ..., -0.1337, 0.0549, -0.0021]
INFO:root:[2][1148/2187] Loss_D: 0.3609 Loss_G: 1.9045 R1: 0.0404 R2: 0.0411 w_avg: [ 0.1827, 0.2085, 0.2081, ..., -0.1336, 0.0547, -0.0022]
INFO:root:[2][1149/2187] Loss_D: 0.4418 Loss_G: 2.6391 R1: 0.0389 R2: 0.0516 w_avg: [ 0.1827, 0.2086, 0.2084, ..., -0.1334, 0.0547, -0.0021]
INFO:root:[2][1150/2187] Loss_D: 0.2895 Loss_G: 2.2642 R1: 0.0475 R2: 0.0424 w_avg: [ 0.1831, 0.2087, 0.2081, ..., -0.1334, 0.0549, -0.0020]
INFO:root:[2][1151/2187] Loss_D: 0.2137 Loss_G: 2.4339 R1: 0.0407 R2: 0.0325 w_avg: [ 0.1832, 0.2088, 0.2084, ..., -0.1333, 0.0550, -0.0020]
INFO:root:[2][1152/2187] Loss_D: 0.2607 Loss_G: 2.7409 R1: 0.0462 R2: 0.0370 w_avg: [ 0.1833, 0.2092, 0.2082, ..., -0.1333, 0.0551, -0.0018]
INFO:root:[2][1153/2187] Loss_D: 0.2236 Loss_G: 2.2864 R1: 0.0422 R2: 0.0322 w_avg: [ 0.1829, 0.2089, 0.2084, ..., -0.1334, 0.0553, -0.0020]
INFO:root:[2][1154/2187] Loss_D: 0.2967 Loss_G: 2.9388 R1: 0.0415 R2: 0.0344 w_avg: [ 0.1836, 0.2088, 0.2082, ..., -0.1333, 0.0552, -0.0021]
INFO:root:[2][1155/2187] Loss_D: 0.3149 Loss_G: 2.2387 R1: 0.0379 R2: 0.0365 w_avg: [ 0.1833, 0.2090, 0.2082, ..., -0.1333, 0.0552, -0.0022]
INFO:root:[2][1156/2187] Loss_D: 0.2433 Loss_G: 2.6683 R1: 0.0395 R2: 0.0318 w_avg: [ 0.1835, 0.2092, 0.2082, ..., -0.1334, 0.0552, -0.0021]
INFO:root:[2][1157/2187] Loss_D: 0.1727 Loss_G: 2.9107 R1: 0.0374 R2: 0.0251 w_avg: [ 0.1832, 0.2091, 0.2081, ..., -0.1334, 0.0551, -0.0021]
INFO:root:[2][1158/2187] Loss_D: 0.2293 Loss_G: 2.9365 R1: 0.0377 R2: 0.0429 w_avg: [ 0.1830, 0.2090, 0.2078, ..., -0.1335, 0.0553, -0.0023]
INFO:root:[2][1159/2187] Loss_D: 0.4204 Loss_G: 2.8364 R1: 0.0332 R2: 0.0497 w_avg: [ 0.1828, 0.2092, 0.2078, ..., -0.1335, 0.0551, -0.0022]
INFO:root:[2][1160/2187] Loss_D: 0.2757 Loss_G: 2.5743 R1: 0.0440 R2: 0.0379 w_avg: [ 0.1825, 0.2094, 0.2075, ..., -0.1336, 0.0550, -0.0023]
INFO:root:[2][1161/2187] Loss_D: 0.2192 Loss_G: 2.1896 R1: 0.0379 R2: 0.0391 w_avg: [ 0.1819, 0.2098, 0.2076, ..., -0.1336, 0.0550, -0.0021]
INFO:root:[2][1162/2187] Loss_D: 0.3270 Loss_G: 2.7982 R1: 0.0361 R2: 0.0491 w_avg: [ 0.1821, 0.2100, 0.2075, ..., -0.1336, 0.0548, -0.0019]
INFO:root:[2][1163/2187] Loss_D: 0.2633 Loss_G: 2.3504 R1: 0.0366 R2: 0.0384 w_avg: [ 0.1819, 0.2099, 0.2080, ..., -0.1334, 0.0550, -0.0019]
INFO:root:[2][1164/2187] Loss_D: 0.1943 Loss_G: 2.2073 R1: 0.0401 R2: 0.0293 w_avg: [ 0.1818, 0.2098, 0.2083, ..., -0.1335, 0.0555, -0.0018]
INFO:root:[2][1165/2187] Loss_D: 0.2311 Loss_G: 2.3277 R1: 0.0389 R2: 0.0389 w_avg: [ 0.1817, 0.2103, 0.2087, ..., -0.1336, 0.0551, -0.0020]
INFO:root:[2][1166/2187] Loss_D: 0.2927 Loss_G: 2.6710 R1: 0.0447 R2: 0.0372 w_avg: [ 0.1822, 0.2104, 0.2088, ..., -0.1338, 0.0552, -0.0023]
INFO:root:[2][1167/2187] Loss_D: 0.3257 Loss_G: 2.4420 R1: 0.0394 R2: 0.0533 w_avg: [ 0.1818, 0.2100, 0.2090, ..., -0.1339, 0.0551, -0.0023]
INFO:root:[2][1168/2187] Loss_D: 0.3623 Loss_G: 1.9627 R1: 0.0412 R2: 0.0417 w_avg: [ 0.1818, 0.2102, 0.2088, ..., -0.1339, 0.0553, -0.0021]
INFO:root:[2][1169/2187] Loss_D: 0.6841 Loss_G: 2.4937 R1: 0.0399 R2: 0.0388 w_avg: [ 0.1820, 0.2100, 0.2090, ..., -0.1341, 0.0555, -0.0019]
INFO:root:[2][1170/2187] Loss_D: 0.2791 Loss_G: 2.8680 R1: 0.0351 R2: 0.0450 w_avg: [ 0.1820, 0.2097, 0.2091, ..., -0.1341, 0.0555, -0.0020]
INFO:root:[2][1171/2187] Loss_D: 0.2927 Loss_G: 2.5291 R1: 0.0390 R2: 0.0491 w_avg: [ 0.1824, 0.2096, 0.2092, ..., -0.1342, 0.0555, -0.0023]
INFO:root:[2][1172/2187] Loss_D: 0.4113 Loss_G: 2.2830 R1: 0.0437 R2: 0.0408 w_avg: [ 0.1824, 0.2093, 0.2088, ..., -0.1343, 0.0558, -0.0017]
INFO:root:[2][1173/2187] Loss_D: 0.2856 Loss_G: 2.3314 R1: 0.0411 R2: 0.0403 w_avg: [ 0.1824, 0.2089, 0.2088, ..., -0.1339, 0.0559, -0.0020]
INFO:root:[2][1174/2187] Loss_D: 0.1937 Loss_G: 2.5929 R1: 0.0347 R2: 0.0357 w_avg: [ 0.1825, 0.2090, 0.2087, ..., -0.1339, 0.0560, -0.0017]
INFO:root:[2][1175/2187] Loss_D: 0.1916 Loss_G: 2.2261 R1: 0.0392 R2: 0.0357 w_avg: [ 0.1826, 0.2090, 0.2087, ..., -0.1341, 0.0562, -0.0017]
INFO:root:[2][1176/2187] Loss_D: 0.4474 Loss_G: 1.6315 R1: 0.0438 R2: 0.0397 w_avg: [ 0.1829, 0.2093, 0.2090, ..., -0.1341, 0.0559, -0.0017]
INFO:root:[2][1177/2187] Loss_D: 0.3338 Loss_G: 2.1401 R1: 0.0332 R2: 0.0312 w_avg: [ 0.1828, 0.2093, 0.2092, ..., -0.1341, 0.0559, -0.0015]
INFO:root:[2][1178/2187] Loss_D: 0.7377 Loss_G: 2.4175 R1: 0.0390 R2: 0.0359 w_avg: [ 0.1831, 0.2090, 0.2090, ..., -0.1341, 0.0560, -0.0011]
INFO:root:[2][1179/2187] Loss_D: 0.4460 Loss_G: 2.0012 R1: 0.0381 R2: 0.0492 w_avg: [ 0.1832, 0.2091, 0.2094, ..., -0.1341, 0.0558, -0.0012]
INFO:root:[2][1180/2187] Loss_D: 0.4129 Loss_G: 2.2013 R1: 0.0413 R2: 0.0354 w_avg: [ 0.1833, 0.2093, 0.2094, ..., -0.1340, 0.0562, -0.0010]
INFO:root:[2][1181/2187] Loss_D: 0.4708 Loss_G: 2.0078 R1: 0.0396 R2: 0.0278 w_avg: [ 0.1833, 0.2094, 0.2092, ..., -0.1340, 0.0561, -0.0011]
INFO:root:[2][1182/2187] Loss_D: 0.3804 Loss_G: 2.0347 R1: 0.0377 R2: 0.0332 w_avg: [ 0.1835, 0.2093, 0.2097, ..., -0.1339, 0.0564, -0.0012]
INFO:root:[2][1183/2187] Loss_D: 0.3671 Loss_G: 2.2634 R1: 0.0448 R2: 0.0301 w_avg: [ 0.1835, 0.2090, 0.2097, ..., -0.1339, 0.0565, -0.0011]
INFO:root:[2][1184/2187] Loss_D: 0.2807 Loss_G: 2.3655 R1: 0.0434 R2: 0.0351 w_avg: [ 0.1831, 0.2090, 0.2096, ..., -0.1340, 0.0563, -0.0015]
INFO:root:[2][1185/2187] Loss_D: 0.2521 Loss_G: 2.3586 R1: 0.0408 R2: 0.0342 w_avg: [ 0.1830, 0.2090, 0.2099, ..., -0.1340, 0.0563, -0.0011]
INFO:root:[2][1186/2187] Loss_D: 0.2472 Loss_G: 2.0907 R1: 0.0480 R2: 0.0251 w_avg: [ 0.1828, 0.2089, 0.2096, ..., -0.1339, 0.0564, -0.0012]
INFO:root:[2][1187/2187] Loss_D: 0.4893 Loss_G: 2.0302 R1: 0.0444 R2: 0.0516 w_avg: [ 0.1830, 0.2088, 0.2098, ..., -0.1340, 0.0567, -0.0013]
INFO:root:[2][1188/2187] Loss_D: 0.3700 Loss_G: 2.1777 R1: 0.0573 R2: 0.0308 w_avg: [ 0.1826, 0.2086, 0.2097, ..., -0.1340, 0.0570, -0.0011]
INFO:root:[2][1189/2187] Loss_D: 0.2888 Loss_G: 2.1466 R1: 0.0394 R2: 0.0389 w_avg: [ 0.1827, 0.2085, 0.2100, ..., -0.1339, 0.0571, -0.0011]
INFO:root:[2][1190/2187] Loss_D: 0.2636 Loss_G: 2.1102 R1: 0.0354 R2: 0.0113 w_avg: [ 0.1828, 0.2084, 0.2101, ..., -0.1338, 0.0568, -0.0008]
INFO:root:[2][1191/2187] Loss_D: 0.4267 Loss_G: 1.8370 R1: 0.0481 R2: 0.0439 w_avg: [ 0.1829, 0.2082, 0.2106, ..., -0.1338, 0.0571, -0.0005]
INFO:root:[2][1192/2187] Loss_D: 0.2719 Loss_G: 2.3895 R1: 0.0466 R2: 0.0250 w_avg: [ 0.1831, 0.2081, 0.2103, ..., -0.1340, 0.0576, -0.0004]
INFO:root:[2][1193/2187] Loss_D: 0.2414 Loss_G: 2.0568 R1: 0.0397 R2: 0.0296 w_avg: [ 0.1830, 0.2084, 0.2102, ..., -0.1340, 0.0576, -0.0004]
INFO:root:[2][1194/2187] Loss_D: 0.2974 Loss_G: 2.2391 R1: 0.0456 R2: 0.0283 w_avg: [ 0.1829, 0.2082, 0.2106, ..., -0.1341, 0.0581, -0.0006]
INFO:root:[2][1195/2187] Loss_D: 0.4102 Loss_G: 2.2902 R1: 0.0368 R2: 0.0366 w_avg: [ 0.1829, 0.2081, 0.2108, ..., -0.1341, 0.0581, -0.0005]
INFO:root:[2][1196/2187] Loss_D: 0.3700 Loss_G: 2.5397 R1: 0.0492 R2: 0.0346 w_avg: [ 0.1827, 0.2077, 0.2104, ..., -0.1343, 0.0582, -0.0007]
INFO:root:[2][1197/2187] Loss_D: 0.3205 Loss_G: 2.4430 R1: 0.0427 R2: 0.0327 w_avg: [ 0.1825, 0.2075, 0.2105, ..., -0.1343, 0.0585, -0.0008]
INFO:root:[2][1198/2187] Loss_D: 0.2271 Loss_G: 2.6544 R1: 0.0255 R2: 0.0419 w_avg: [ 0.1826, 0.2074, 0.2105, ..., -0.1340, 0.0587, -0.0010]
INFO:root:[2][1199/2187] Loss_D: 0.3176 Loss_G: 2.4805 R1: 0.0430 R2: 0.0371 w_avg: [ 0.1827, 0.2072, 0.2107, ..., -0.1340, 0.0593, -0.0009]
INFO:root:[2][1200/2187] Loss_D: 0.2058 Loss_G: 2.9471 R1: 0.0372 R2: 0.0343 w_avg: [ 0.1824, 0.2076, 0.2104, ..., -0.1338, 0.0592, -0.0009]
INFO:root:[2][1201/2187] Loss_D: 0.2902 Loss_G: 2.4193 R1: 0.0398 R2: 0.0502 w_avg: [ 0.1823, 0.2074, 0.2104, ..., -0.1339, 0.0593, -0.0011]
INFO:root:[2][1202/2187] Loss_D: 0.3691 Loss_G: 3.1124 R1: 0.0496 R2: 0.0383 w_avg: [ 0.1826, 0.2073, 0.2099, ..., -0.1338, 0.0594, -0.0010]
INFO:root:[2][1203/2187] Loss_D: 0.2717 Loss_G: 2.2159 R1: 0.0450 R2: 0.0508 w_avg: [ 0.1829, 0.2075, 0.2097, ..., -0.1339, 0.0592, -0.0009]
INFO:root:[2][1204/2187] Loss_D: 0.3299 Loss_G: 2.6375 R1: 0.0521 R2: 0.0376 w_avg: [ 0.1829, 0.2074, 0.2097, ..., -0.1338, 0.0594, -0.0005]
INFO:root:[2][1205/2187] Loss_D: 0.3197 Loss_G: 2.2639 R1: 0.0351 R2: 0.0401 w_avg: [ 0.1835, 0.2074, 0.2098, ..., -0.1340, 0.0595, -0.0006]
INFO:root:[2][1206/2187] Loss_D: 0.4536 Loss_G: 2.0866 R1: 0.0447 R2: 0.0475 w_avg: [ 0.1836, 0.2072, 0.2095, ..., -0.1338, 0.0593, -0.0005]
INFO:root:[2][1207/2187] Loss_D: 0.2701 Loss_G: 2.2346 R1: 0.0491 R2: 0.0448 w_avg: [ 0.1835, 0.2072, 0.2092, ..., -0.1339, 0.0591, -0.0006]
INFO:root:[2][1208/2187] Loss_D: 0.4925 Loss_G: 2.5306 R1: 0.0504 R2: 0.0653 w_avg: [ 0.1835, 0.2072, 0.2091, ..., -0.1340, 0.0590, -0.0007]
INFO:root:[2][1209/2187] Loss_D: 0.2351 Loss_G: 2.6064 R1: 0.0435 R2: 0.0392 w_avg: [ 0.1836, 0.2072, 0.2091, ..., -0.1340, 0.0592, -0.0009]
INFO:root:[2][1210/2187] Loss_D: 0.2572 Loss_G: 2.1668 R1: 0.0506 R2: 0.0311 w_avg: [ 0.1835, 0.2071, 0.2093, ..., -0.1341, 0.0591, -0.0010]
INFO:root:[2][1211/2187] Loss_D: 0.2960 Loss_G: 2.5886 R1: 0.0457 R2: 0.0528 w_avg: [ 0.1837, 0.2071, 0.2090, ..., -0.1340, 0.0591, -0.0010]
INFO:root:[2][1212/2187] Loss_D: 0.3534 Loss_G: 2.4907 R1: 0.0386 R2: 0.0530 w_avg: [ 0.1837, 0.2070, 0.2089, ..., -0.1341, 0.0593, -0.0011]
INFO:root:[2][1213/2187] Loss_D: 0.2749 Loss_G: 2.8557 R1: 0.0383 R2: 0.0385 w_avg: [ 0.1837, 0.2068, 0.2085, ..., -0.1340, 0.0593, -0.0006]
INFO:root:[2][1214/2187] Loss_D: 0.4649 Loss_G: 2.3884 R1: 0.0504 R2: 0.0479 w_avg: [ 0.1835, 0.2065, 0.2085, ..., -0.1341, 0.0592, -0.0004]
INFO:root:[2][1215/2187] Loss_D: 0.2208 Loss_G: 2.1522 R1: 0.0475 R2: 0.0382 w_avg: [ 0.1837, 0.2068, 0.2085, ..., -0.1342, 0.0590, -0.0004]
INFO:root:[2][1216/2187] Loss_D: 0.2831 Loss_G: 2.4375 R1: 0.0415 R2: 0.0296 w_avg: [ 0.1838, 0.2066, 0.2084, ..., -0.1343, 0.0594, -0.0002]
INFO:root:[2][1217/2187] Loss_D: 0.3844 Loss_G: 2.5347 R1: 0.0474 R2: 0.0397 w_avg: [ 0.1833, 0.2068, 0.2084, ..., -0.1342, 0.0592, -0.0002]
INFO:root:[2][1218/2187] Loss_D: 0.3230 Loss_G: 2.2559 R1: 0.0474 R2: 0.0481 w_avg: [ 1.8342e-01, 2.0715e-01, 2.0881e-01, ..., -1.3402e-01,
5.9588e-02, -1.9936e-04]
INFO:root:[2][1219/2187] Loss_D: 0.2495 Loss_G: 2.0354 R1: 0.0387 R2: 0.0485 w_avg: [ 1.8331e-01, 2.0688e-01, 2.0836e-01, ..., -1.3408e-01,
5.9902e-02, -7.6754e-05]
INFO:root:[2][1220/2187] Loss_D: 0.2880 Loss_G: 2.2186 R1: 0.0380 R2: 0.0393 w_avg: [ 0.1831, 0.2069, 0.2082, ..., -0.1342, 0.0596, -0.0002]
INFO:root:[2][1221/2187] Loss_D: 0.2822 Loss_G: 2.4263 R1: 0.0414 R2: 0.0319 w_avg: [ 0.1832, 0.2071, 0.2085, ..., -0.1341, 0.0597, -0.0002]
INFO:root:[2][1222/2187] Loss_D: 0.2454 Loss_G: 2.2877 R1: 0.0479 R2: 0.0308 w_avg: [ 0.1835, 0.2072, 0.2085, ..., -0.1342, 0.0598, -0.0005]
INFO:root:[2][1223/2187] Loss_D: 0.2988 Loss_G: 2.7086 R1: 0.0455 R2: 0.0380 w_avg: [ 0.1841, 0.2070, 0.2084, ..., -0.1342, 0.0600, -0.0005]
INFO:root:[2][1224/2187] Loss_D: 0.3482 Loss_G: 1.8557 R1: 0.0459 R2: 0.0399 w_avg: [ 0.1845, 0.2068, 0.2083, ..., -0.1342, 0.0601, -0.0005]
INFO:root:[2][1225/2187] Loss_D: 0.2534 Loss_G: 2.4352 R1: 0.0401 R2: 0.0429 w_avg: [ 0.1845, 0.2067, 0.2087, ..., -0.1344, 0.0602, -0.0005]
INFO:root:[2][1226/2187] Loss_D: 0.2349 Loss_G: 3.8889 R1: 0.0384 R2: 0.0455 w_avg: [ 0.1846, 0.2067, 0.2085, ..., -0.1344, 0.0603, -0.0003]
INFO:root:[2][1227/2187] Loss_D: 0.2607 Loss_G: 2.8719 R1: 0.0462 R2: 0.0417 w_avg: [ 1.8419e-01, 2.0630e-01, 2.0829e-01, ..., -1.3436e-01,
6.0293e-02, -1.4224e-04]
INFO:root:[2][1228/2187] Loss_D: 0.1433 Loss_G: 3.3021 R1: 0.0381 R2: 0.0389 w_avg: [ 1.8424e-01, 2.0625e-01, 2.0824e-01, ..., -1.3426e-01,
6.0273e-02, -7.5798e-05]
INFO:root:[2][1229/2187] Loss_D: 0.2431 Loss_G: 2.8654 R1: 0.0420 R2: 0.0558 w_avg: [ 1.8427e-01, 2.0614e-01, 2.0837e-01, ..., -1.3446e-01,
6.0225e-02, -2.0661e-04]
INFO:root:[2][1230/2187] Loss_D: 0.3255 Loss_G: 2.6491 R1: 0.0440 R2: 0.0482 w_avg: [ 0.1841, 0.2062, 0.2082, ..., -0.1345, 0.0601, -0.0005]
INFO:root:[2][1231/2187] Loss_D: 0.2787 Loss_G: 2.2333 R1: 0.0459 R2: 0.0527 w_avg: [ 1.8376e-01, 2.0593e-01, 2.0788e-01, ..., -1.3436e-01,
6.0076e-02, -7.8416e-05]
INFO:root:[2][1232/2187] Loss_D: 0.2445 Loss_G: 2.7719 R1: 0.0624 R2: 0.0329 w_avg: [ 1.8338e-01, 2.0583e-01, 2.0799e-01, ..., -1.3441e-01,
6.0037e-02, -1.4930e-04]
INFO:root:[2][1233/2187] Loss_D: 0.2891 Loss_G: 2.7388 R1: 0.0709 R2: 0.0393 w_avg: [ 1.8317e-01, 2.0599e-01, 2.0792e-01, ..., -1.3439e-01,
6.0068e-02, -1.8769e-04]
INFO:root:[2][1234/2187] Loss_D: 0.2738 Loss_G: 2.4406 R1: 0.0505 R2: 0.0379 w_avg: [ 0.1835, 0.2060, 0.2076, ..., -0.1343, 0.0604, -0.0004]
INFO:root:[2][1235/2187] Loss_D: 0.1932 Loss_G: 2.7926 R1: 0.0490 R2: 0.0383 w_avg: [ 0.1835, 0.2056, 0.2075, ..., -0.1345, 0.0604, -0.0003]
INFO:root:[2][1236/2187] Loss_D: 0.2456 Loss_G: 3.2488 R1: 0.0428 R2: 0.0393 w_avg: [ 1.8365e-01, 2.0568e-01, 2.0738e-01, ..., -1.3447e-01,
6.0609e-02, -4.7371e-05]
INFO:root:[2][1237/2187] Loss_D: 0.2884 Loss_G: 2.6007 R1: 0.0544 R2: 0.0438 w_avg: [ 0.1838, 0.2059, 0.2073, ..., -0.1345, 0.0604, -0.0002]
INFO:root:[2][1238/2187] Loss_D: 0.2145 Loss_G: 2.9625 R1: 0.0566 R2: 0.0359 w_avg: [ 0.1837, 0.2059, 0.2072, ..., -0.1346, 0.0609, -0.0002]
INFO:root:[2][1239/2187] Loss_D: 0.2828 Loss_G: 2.4179 R1: 0.0488 R2: 0.0510 w_avg: [ 0.1837, 0.2057, 0.2078, ..., -0.1346, 0.0607, -0.0004]
INFO:root:[2][1240/2187] Loss_D: 0.2808 Loss_G: 2.7862 R1: 0.0625 R2: 0.0403 w_avg: [ 0.1835, 0.2057, 0.2075, ..., -0.1346, 0.0606, -0.0006]
INFO:root:[2][1241/2187] Loss_D: 0.3648 Loss_G: 2.5013 R1: 0.0554 R2: 0.0495 w_avg: [ 0.1834, 0.2052, 0.2074, ..., -0.1347, 0.0608, -0.0006]
INFO:root:[2][1242/2187] Loss_D: 0.2823 Loss_G: 2.1587 R1: 0.0544 R2: 0.0476 w_avg: [ 0.1839, 0.2059, 0.2077, ..., -0.1345, 0.0608, -0.0005]
INFO:root:[2][1243/2187] Loss_D: 0.2555 Loss_G: 2.3793 R1: 0.0597 R2: 0.0324 w_avg: [ 0.1837, 0.2060, 0.2077, ..., -0.1346, 0.0609, -0.0006]
INFO:root:[2][1244/2187] Loss_D: 0.2650 Loss_G: 2.1127 R1: 0.0481 R2: 0.0504 w_avg: [ 0.1835, 0.2065, 0.2079, ..., -0.1346, 0.0607, -0.0004]
INFO:root:[2][1245/2187] Loss_D: 0.3237 Loss_G: 1.9277 R1: 0.0415 R2: 0.0450 w_avg: [ 0.1837, 0.2063, 0.2076, ..., -0.1347, 0.0604, -0.0006]
INFO:root:[2][1246/2187] Loss_D: 0.3962 Loss_G: 2.5713 R1: 0.0516 R2: 0.0335 w_avg: [ 0.1838, 0.2066, 0.2073, ..., -0.1346, 0.0602, -0.0004]
INFO:root:[2][1247/2187] Loss_D: 0.2794 Loss_G: 2.5912 R1: 0.0488 R2: 0.0396 w_avg: [ 0.1836, 0.2066, 0.2071, ..., -0.1348, 0.0601, -0.0006]
INFO:root:[2][1248/2187] Loss_D: 0.3561 Loss_G: 2.3194 R1: 0.0534 R2: 0.0320 w_avg: [ 0.1836, 0.2067, 0.2070, ..., -0.1348, 0.0598, -0.0005]
INFO:root:[2][1249/2187] Loss_D: 0.4154 Loss_G: 2.7024 R1: 0.0589 R2: 0.0389 w_avg: [ 0.1841, 0.2070, 0.2071, ..., -0.1348, 0.0600, -0.0005]
INFO:root:[2][1250/2187] Loss_D: 0.3415 Loss_G: 3.0346 R1: 0.0495 R2: 0.0600 w_avg: [ 0.1844, 0.2070, 0.2069, ..., -0.1347, 0.0599, -0.0005]
INFO:root:[2][1251/2187] Loss_D: 0.1573 Loss_G: 2.8272 R1: 0.0446 R2: 0.0258 w_avg: [ 0.1848, 0.2073, 0.2072, ..., -0.1347, 0.0595, -0.0007]
INFO:root:[2][1252/2187] Loss_D: 0.2927 Loss_G: 2.7088 R1: 0.0474 R2: 0.0358 w_avg: [ 0.1845, 0.2076, 0.2070, ..., -0.1348, 0.0592, -0.0007]
INFO:root:[2][1253/2187] Loss_D: 0.1940 Loss_G: 2.4929 R1: 0.0433 R2: 0.0275 w_avg: [ 0.1846, 0.2072, 0.2071, ..., -0.1348, 0.0593, -0.0006]
INFO:root:[2][1254/2187] Loss_D: 0.2867 Loss_G: 2.5080 R1: 0.0427 R2: 0.0469 w_avg: [ 0.1843, 0.2071, 0.2076, ..., -0.1347, 0.0597, -0.0006]
INFO:root:[2][1255/2187] Loss_D: 0.2543 Loss_G: 2.1934 R1: 0.0377 R2: 0.0364 w_avg: [ 0.1845, 0.2075, 0.2076, ..., -0.1347, 0.0595, -0.0008]
INFO:root:[2][1256/2187] Loss_D: 0.5309 Loss_G: 2.5804 R1: 0.0474 R2: 0.0442 w_avg: [ 0.1843, 0.2072, 0.2083, ..., -0.1345, 0.0595, -0.0011]
INFO:root:[2][1257/2187] Loss_D: 0.1861 Loss_G: 2.3795 R1: 0.0544 R2: 0.0258 w_avg: [ 0.1840, 0.2071, 0.2082, ..., -0.1347, 0.0594, -0.0013]
INFO:root:[2][1258/2187] Loss_D: 0.2473 Loss_G: 2.1669 R1: 0.0493 R2: 0.0447 w_avg: [ 0.1840, 0.2067, 0.2085, ..., -0.1345, 0.0596, -0.0012]
INFO:root:[2][1259/2187] Loss_D: 0.2653 Loss_G: 2.2370 R1: 0.0496 R2: 0.0436 w_avg: [ 0.1841, 0.2064, 0.2086, ..., -0.1347, 0.0597, -0.0015]
INFO:root:[2][1260/2187] Loss_D: 0.2447 Loss_G: 2.9038 R1: 0.0529 R2: 0.0325 w_avg: [ 0.1839, 0.2072, 0.2086, ..., -0.1347, 0.0596, -0.0015]
INFO:root:[2][1261/2187] Loss_D: 0.2823 Loss_G: 2.5879 R1: 0.0417 R2: 0.0474 w_avg: [ 0.1840, 0.2068, 0.2086, ..., -0.1348, 0.0600, -0.0017]
INFO:root:[2][1262/2187] Loss_D: 0.2775 Loss_G: 1.5910 R1: 0.0456 R2: 0.0605 w_avg: [ 0.1844, 0.2068, 0.2091, ..., -0.1348, 0.0601, -0.0021]
INFO:root:[2][1263/2187] Loss_D: 0.3703 Loss_G: 2.2993 R1: 0.0463 R2: 0.0504 w_avg: [ 0.1846, 0.2070, 0.2089, ..., -0.1345, 0.0602, -0.0020]
INFO:root:[2][1264/2187] Loss_D: 0.3561 Loss_G: 2.3915 R1: 0.0475 R2: 0.0615 w_avg: [ 0.1845, 0.2066, 0.2090, ..., -0.1346, 0.0601, -0.0022]
INFO:root:[2][1265/2187] Loss_D: 0.4245 Loss_G: 2.5561 R1: 0.0525 R2: 0.0560 w_avg: [ 0.1847, 0.2067, 0.2094, ..., -0.1345, 0.0599, -0.0023]
INFO:root:[2][1266/2187] Loss_D: 0.3745 Loss_G: 2.0462 R1: 0.0367 R2: 0.0456 w_avg: [ 0.1846, 0.2064, 0.2094, ..., -0.1347, 0.0602, -0.0026]
INFO:root:[2][1267/2187] Loss_D: 0.3140 Loss_G: 1.9674 R1: 0.0416 R2: 0.0447 w_avg: [ 0.1845, 0.2062, 0.2092, ..., -0.1346, 0.0606, -0.0026]
INFO:root:[2][1268/2187] Loss_D: 0.5111 Loss_G: 2.2038 R1: 0.0431 R2: 0.0455 w_avg: [ 0.1843, 0.2064, 0.2093, ..., -0.1347, 0.0607, -0.0028]
INFO:root:[2][1269/2187] Loss_D: 0.3554 Loss_G: 2.6156 R1: 0.0373 R2: 0.0461 w_avg: [ 0.1841, 0.2066, 0.2091, ..., -0.1346, 0.0605, -0.0028]
INFO:root:[2][1270/2187] Loss_D: 0.2858 Loss_G: 2.1348 R1: 0.0391 R2: 0.0436 w_avg: [ 0.1843, 0.2065, 0.2089, ..., -0.1346, 0.0603, -0.0031]
INFO:root:[2][1271/2187] Loss_D: 0.2280 Loss_G: 2.3435 R1: 0.0374 R2: 0.0482 w_avg: [ 0.1840, 0.2070, 0.2090, ..., -0.1346, 0.0600, -0.0030]
INFO:root:[2][1272/2187] Loss_D: 0.3793 Loss_G: 2.1969 R1: 0.0360 R2: 0.0419 w_avg: [ 0.1842, 0.2070, 0.2090, ..., -0.1346, 0.0603, -0.0028]
INFO:root:[2][1273/2187] Loss_D: 0.2705 Loss_G: 2.5401 R1: 0.0385 R2: 0.0381 w_avg: [ 0.1840, 0.2069, 0.2088, ..., -0.1346, 0.0605, -0.0029]
INFO:root:[2][1274/2187] Loss_D: 0.2842 Loss_G: 3.0984 R1: 0.0392 R2: 0.0454 w_avg: [ 0.1838, 0.2072, 0.2083, ..., -0.1346, 0.0604, -0.0027]
INFO:root:[2][1275/2187] Loss_D: 0.2325 Loss_G: 2.4701 R1: 0.0360 R2: 0.0433 w_avg: [ 0.1835, 0.2071, 0.2084, ..., -0.1346, 0.0604, -0.0028]
INFO:root:[2][1276/2187] Loss_D: 0.3636 Loss_G: 2.7546 R1: 0.0364 R2: 0.0465 w_avg: [ 0.1834, 0.2070, 0.2089, ..., -0.1347, 0.0605, -0.0029]
INFO:root:[2][1277/2187] Loss_D: 0.2438 Loss_G: 2.7065 R1: 0.0435 R2: 0.0282 w_avg: [ 0.1831, 0.2071, 0.2087, ..., -0.1345, 0.0604, -0.0029]
INFO:root:[2][1278/2187] Loss_D: 0.2896 Loss_G: 2.4931 R1: 0.0529 R2: 0.0553 w_avg: [ 0.1840, 0.2070, 0.2088, ..., -0.1346, 0.0604, -0.0030]
INFO:root:[2][1279/2187] Loss_D: 0.3019 Loss_G: 2.4667 R1: 0.0393 R2: 0.0630 w_avg: [ 0.1837, 0.2074, 0.2087, ..., -0.1346, 0.0604, -0.0029]
INFO:root:[2][1280/2187] Loss_D: 0.2782 Loss_G: 2.2417 R1: 0.0413 R2: 0.0476 w_avg: [ 0.1837, 0.2074, 0.2084, ..., -0.1347, 0.0602, -0.0024]
INFO:root:[2][1281/2187] Loss_D: 0.4140 Loss_G: 2.0548 R1: 0.0406 R2: 0.0558 w_avg: [ 0.1836, 0.2076, 0.2082, ..., -0.1345, 0.0600, -0.0021]
INFO:root:[2][1282/2187] Loss_D: 0.4552 Loss_G: 2.7595 R1: 0.0374 R2: 0.0371 w_avg: [ 0.1833, 0.2073, 0.2083, ..., -0.1344, 0.0600, -0.0022]
INFO:root:[2][1283/2187] Loss_D: 0.2312 Loss_G: 2.1408 R1: 0.0479 R2: 0.0267 w_avg: [ 0.1832, 0.2071, 0.2082, ..., -0.1343, 0.0600, -0.0022]
INFO:root:[2][1284/2187] Loss_D: 0.2267 Loss_G: 2.9582 R1: 0.0363 R2: 0.0437 w_avg: [ 0.1830, 0.2068, 0.2079, ..., -0.1345, 0.0601, -0.0024]
INFO:root:[2][1285/2187] Loss_D: 0.2554 Loss_G: 2.5766 R1: 0.0462 R2: 0.0336 w_avg: [ 0.1831, 0.2068, 0.2084, ..., -0.1344, 0.0602, -0.0023]
INFO:root:[2][1286/2187] Loss_D: 0.5078 Loss_G: 2.1975 R1: 0.0481 R2: 0.0535 w_avg: [ 0.1831, 0.2066, 0.2084, ..., -0.1345, 0.0601, -0.0026]
INFO:root:[2][1287/2187] Loss_D: 0.2351 Loss_G: 2.2135 R1: 0.0394 R2: 0.0292 w_avg: [ 0.1828, 0.2068, 0.2083, ..., -0.1345, 0.0601, -0.0025]
INFO:root:[2][1288/2187] Loss_D: 0.2808 Loss_G: 2.1188 R1: 0.0445 R2: 0.0486 w_avg: [ 0.1826, 0.2069, 0.2083, ..., -0.1344, 0.0601, -0.0024]
INFO:root:[2][1289/2187] Loss_D: 0.2785 Loss_G: 1.7729 R1: 0.0446 R2: 0.0400 w_avg: [ 0.1826, 0.2068, 0.2084, ..., -0.1345, 0.0605, -0.0024]
INFO:root:[2][1290/2187] Loss_D: 0.3224 Loss_G: 1.9690 R1: 0.0455 R2: 0.0406 w_avg: [ 0.1821, 0.2062, 0.2084, ..., -0.1344, 0.0608, -0.0021]
INFO:root:[2][1291/2187] Loss_D: 0.4340 Loss_G: 2.6290 R1: 0.0433 R2: 0.0328 w_avg: [ 0.1823, 0.2061, 0.2084, ..., -0.1344, 0.0608, -0.0022]
INFO:root:[2][1292/2187] Loss_D: 0.2481 Loss_G: 2.7651 R1: 0.0486 R2: 0.0312 w_avg: [ 0.1822, 0.2058, 0.2084, ..., -0.1344, 0.0608, -0.0022]
INFO:root:[2][1293/2187] Loss_D: 0.3266 Loss_G: 2.2040 R1: 0.0460 R2: 0.0443 w_avg: [ 0.1825, 0.2054, 0.2083, ..., -0.1345, 0.0609, -0.0024]
INFO:root:[2][1294/2187] Loss_D: 0.2042 Loss_G: 2.4919 R1: 0.0492 R2: 0.0331 w_avg: [ 0.1826, 0.2052, 0.2079, ..., -0.1346, 0.0610, -0.0022]
INFO:root:[2][1295/2187] Loss_D: 0.3133 Loss_G: 2.4177 R1: 0.0434 R2: 0.0352 w_avg: [ 0.1828, 0.2059, 0.2079, ..., -0.1346, 0.0607, -0.0023]
INFO:root:[2][1296/2187] Loss_D: 0.4607 Loss_G: 2.9188 R1: 0.0485 R2: 0.0457 w_avg: [ 0.1825, 0.2059, 0.2075, ..., -0.1347, 0.0607, -0.0023]
INFO:root:[2][1297/2187] Loss_D: 0.3562 Loss_G: 2.2226 R1: 0.0404 R2: 0.0338 w_avg: [ 0.1827, 0.2059, 0.2075, ..., -0.1348, 0.0606, -0.0019]
INFO:root:[2][1298/2187] Loss_D: 0.2065 Loss_G: 2.4490 R1: 0.0291 R2: 0.0458 w_avg: [ 0.1827, 0.2057, 0.2076, ..., -0.1349, 0.0612, -0.0019]
INFO:root:[2][1299/2187] Loss_D: 0.3225 Loss_G: 2.5453 R1: 0.0339 R2: 0.0546 w_avg: [ 0.1824, 0.2057, 0.2075, ..., -0.1351, 0.0609, -0.0015]
INFO:root:[2][1300/2187] Loss_D: 0.3329 Loss_G: 2.4631 R1: 0.0573 R2: 0.0354 w_avg: [ 0.1825, 0.2057, 0.2076, ..., -0.1352, 0.0610, -0.0014]
INFO:root:[2][1301/2187] Loss_D: 0.4184 Loss_G: 2.3394 R1: 0.0382 R2: 0.0566 w_avg: [ 0.1825, 0.2059, 0.2076, ..., -0.1352, 0.0612, -0.0016]
INFO:root:[2][1302/2187] Loss_D: 0.2929 Loss_G: 2.7119 R1: 0.0518 R2: 0.0223 w_avg: [ 0.1829, 0.2060, 0.2079, ..., -0.1351, 0.0611, -0.0016]
INFO:root:[2][1303/2187] Loss_D: 0.5368 Loss_G: 2.8685 R1: 0.0357 R2: 0.0695 w_avg: [ 0.1830, 0.2058, 0.2079, ..., -0.1350, 0.0612, -0.0015]
INFO:root:[2][1304/2187] Loss_D: 0.3455 Loss_G: 2.3593 R1: 0.0450 R2: 0.0390 w_avg: [ 0.1827, 0.2056, 0.2081, ..., -0.1350, 0.0609, -0.0016]
INFO:root:[2][1305/2187] Loss_D: 0.1990 Loss_G: 2.1050 R1: 0.0393 R2: 0.0391 w_avg: [ 0.1825, 0.2056, 0.2079, ..., -0.1347, 0.0607, -0.0017]
INFO:root:[2][1306/2187] Loss_D: 0.4860 Loss_G: 2.0798 R1: 0.0462 R2: 0.0478 w_avg: [ 0.1820, 0.2061, 0.2080, ..., -0.1347, 0.0606, -0.0019]
INFO:root:[2][1307/2187] Loss_D: 0.5110 Loss_G: 2.4327 R1: 0.0413 R2: 0.0482 w_avg: [ 0.1824, 0.2063, 0.2084, ..., -0.1347, 0.0605, -0.0020]
INFO:root:[2][1308/2187] Loss_D: 0.2926 Loss_G: 2.0977 R1: 0.0452 R2: 0.0203 w_avg: [ 0.1825, 0.2061, 0.2082, ..., -0.1347, 0.0604, -0.0019]
INFO:root:[2][1309/2187] Loss_D: 0.2722 Loss_G: 2.0774 R1: 0.0494 R2: 0.0255 w_avg: [ 0.1820, 0.2061, 0.2079, ..., -0.1348, 0.0606, -0.0020]
INFO:root:[2][1310/2187] Loss_D: 0.4904 Loss_G: 2.2949 R1: 0.0438 R2: 0.0331 w_avg: [ 0.1823, 0.2060, 0.2080, ..., -0.1347, 0.0607, -0.0019]
INFO:root:[2][1311/2187] Loss_D: 0.4189 Loss_G: 1.8228 R1: 0.0384 R2: 0.0364 w_avg: [ 0.1824, 0.2059, 0.2082, ..., -0.1348, 0.0605, -0.0021]
INFO:root:[2][1312/2187] Loss_D: 0.3322 Loss_G: 2.2303 R1: 0.0361 R2: 0.0402 w_avg: [ 0.1821, 0.2057, 0.2081, ..., -0.1345, 0.0604, -0.0018]
INFO:root:[2][1313/2187] Loss_D: 0.3021 Loss_G: 2.3461 R1: 0.0429 R2: 0.0181 w_avg: [ 0.1819, 0.2054, 0.2080, ..., -0.1345, 0.0605, -0.0021]
INFO:root:[2][1314/2187] Loss_D: 0.2757 Loss_G: 2.5955 R1: 0.0517 R2: 0.0341 w_avg: [ 0.1819, 0.2056, 0.2078, ..., -0.1345, 0.0603, -0.0021]
INFO:root:[2][1315/2187] Loss_D: 0.2253 Loss_G: 2.7258 R1: 0.0493 R2: 0.0470 w_avg: [ 0.1821, 0.2053, 0.2072, ..., -0.1346, 0.0602, -0.0021]
INFO:root:[2][1316/2187] Loss_D: 0.2864 Loss_G: 2.1109 R1: 0.0477 R2: 0.0333 w_avg: [ 0.1822, 0.2051, 0.2072, ..., -0.1346, 0.0601, -0.0021]
INFO:root:[2][1317/2187] Loss_D: 0.2846 Loss_G: 1.7741 R1: 0.0402 R2: 0.0600 w_avg: [ 0.1822, 0.2055, 0.2074, ..., -0.1347, 0.0599, -0.0019]
INFO:root:[2][1318/2187] Loss_D: 0.3470 Loss_G: 2.1825 R1: 0.0461 R2: 0.0443 w_avg: [ 0.1824, 0.2051, 0.2073, ..., -0.1346, 0.0598, -0.0021]
INFO:root:[2][1319/2187] Loss_D: 0.4141 Loss_G: 2.2218 R1: 0.0516 R2: 0.0576 w_avg: [ 0.1827, 0.2050, 0.2072, ..., -0.1343, 0.0600, -0.0022]
INFO:root:[2][1320/2187] Loss_D: 0.3873 Loss_G: 2.5827 R1: 0.0384 R2: 0.0645 w_avg: [ 0.1825, 0.2048, 0.2077, ..., -0.1344, 0.0599, -0.0021]
INFO:root:[2][1321/2187] Loss_D: 0.1937 Loss_G: 2.8010 R1: 0.0510 R2: 0.0152 w_avg: [ 0.1829, 0.2048, 0.2079, ..., -0.1344, 0.0602, -0.0024]
INFO:root:[2][1322/2187] Loss_D: 0.3803 Loss_G: 2.3385 R1: 0.0434 R2: 0.0610 w_avg: [ 0.1828, 0.2053, 0.2085, ..., -0.1346, 0.0604, -0.0026]
INFO:root:[2][1323/2187] Loss_D: 0.4708 Loss_G: 2.4469 R1: 0.0532 R2: 0.0496 w_avg: [ 0.1827, 0.2047, 0.2091, ..., -0.1345, 0.0609, -0.0026]
INFO:root:[2][1324/2187] Loss_D: 0.3464 Loss_G: 2.8374 R1: 0.0499 R2: 0.0257 w_avg: [ 0.1825, 0.2048, 0.2093, ..., -0.1347, 0.0607, -0.0025]
INFO:root:[2][1325/2187] Loss_D: 0.3785 Loss_G: 1.7871 R1: 0.0371 R2: 0.0613 w_avg: [ 0.1818, 0.2043, 0.2092, ..., -0.1347, 0.0605, -0.0025]
INFO:root:[2][1326/2187] Loss_D: 0.4911 Loss_G: 2.2835 R1: 0.0511 R2: 0.0580 w_avg: [ 0.1822, 0.2044, 0.2094, ..., -0.1348, 0.0604, -0.0025]
INFO:root:[2][1327/2187] Loss_D: 0.3200 Loss_G: 1.7448 R1: 0.0398 R2: 0.0198 w_avg: [ 0.1822, 0.2044, 0.2093, ..., -0.1346, 0.0603, -0.0021]
INFO:root:[2][1328/2187] Loss_D: 0.3583 Loss_G: 1.9933 R1: 0.0600 R2: 0.0257 w_avg: [ 0.1819, 0.2047, 0.2089, ..., -0.1346, 0.0603, -0.0019]
INFO:root:[2][1329/2187] Loss_D: 0.5697 Loss_G: 2.0798 R1: 0.0483 R2: 0.0376 w_avg: [ 0.1818, 0.2050, 0.2091, ..., -0.1347, 0.0599, -0.0023]
INFO:root:[2][1330/2187] Loss_D: 0.3227 Loss_G: 2.4204 R1: 0.0327 R2: 0.0310 w_avg: [ 0.1818, 0.2049, 0.2091, ..., -0.1346, 0.0599, -0.0025]
INFO:root:[2][1331/2187] Loss_D: 0.2715 Loss_G: 2.2226 R1: 0.0263 R2: 0.0394 w_avg: [ 0.1820, 0.2048, 0.2087, ..., -0.1346, 0.0600, -0.0023]
INFO:root:[2][1332/2187] Loss_D: 0.3175 Loss_G: 2.1915 R1: 0.0363 R2: 0.0403 w_avg: [ 0.1817, 0.2049, 0.2090, ..., -0.1348, 0.0598, -0.0024]
INFO:root:[2][1333/2187] Loss_D: 0.2612 Loss_G: 2.2201 R1: 0.0368 R2: 0.0211 w_avg: [ 0.1818, 0.2049, 0.2093, ..., -0.1346, 0.0596, -0.0025]
INFO:root:[2][1334/2187] Loss_D: 0.5094 Loss_G: 2.3768 R1: 0.0444 R2: 0.0350 w_avg: [ 0.1815, 0.2049, 0.2089, ..., -0.1343, 0.0594, -0.0022]
INFO:root:[2][1335/2187] Loss_D: 0.2591 Loss_G: 2.1168 R1: 0.0329 R2: 0.0422 w_avg: [ 0.1811, 0.2051, 0.2086, ..., -0.1344, 0.0594, -0.0025]
INFO:root:[2][1336/2187] Loss_D: 0.3863 Loss_G: 2.0406 R1: 0.0381 R2: 0.0450 w_avg: [ 0.1814, 0.2052, 0.2090, ..., -0.1345, 0.0593, -0.0026]
INFO:root:[2][1337/2187] Loss_D: 0.2877 Loss_G: 2.0023 R1: 0.0432 R2: 0.0398 w_avg: [ 0.1815, 0.2057, 0.2087, ..., -0.1344, 0.0593, -0.0028]
INFO:root:[2][1338/2187] Loss_D: 0.2280 Loss_G: 2.2766 R1: 0.0481 R2: 0.0365 w_avg: [ 0.1814, 0.2053, 0.2090, ..., -0.1345, 0.0590, -0.0029]
INFO:root:[2][1339/2187] Loss_D: 0.4206 Loss_G: 2.3940 R1: 0.0480 R2: 0.0371 w_avg: [ 0.1813, 0.2054, 0.2087, ..., -0.1344, 0.0589, -0.0024]
INFO:root:[2][1340/2187] Loss_D: 0.3016 Loss_G: 2.3630 R1: 0.0420 R2: 0.0640 w_avg: [ 0.1817, 0.2059, 0.2091, ..., -0.1344, 0.0588, -0.0025]
INFO:root:[2][1341/2187] Loss_D: 0.3612 Loss_G: 2.2741 R1: 0.0495 R2: 0.0397 w_avg: [ 0.1821, 0.2063, 0.2089, ..., -0.1344, 0.0587, -0.0021]
INFO:root:[2][1342/2187] Loss_D: 0.3138 Loss_G: 2.3425 R1: 0.0416 R2: 0.0477 w_avg: [ 0.1827, 0.2064, 0.2088, ..., -0.1346, 0.0589, -0.0023]
INFO:root:[2][1343/2187] Loss_D: 0.3556 Loss_G: 1.9727 R1: 0.0598 R2: 0.0483 w_avg: [ 0.1826, 0.2062, 0.2086, ..., -0.1345, 0.0587, -0.0023]
INFO:root:[2][1344/2187] Loss_D: 0.4475 Loss_G: 2.0651 R1: 0.0372 R2: 0.0496 w_avg: [ 0.1824, 0.2058, 0.2088, ..., -0.1345, 0.0587, -0.0023]
INFO:root:[2][1345/2187] Loss_D: 0.3552 Loss_G: 2.2774 R1: 0.0420 R2: 0.0472 w_avg: [ 0.1821, 0.2053, 0.2087, ..., -0.1346, 0.0588, -0.0022]
INFO:root:[2][1346/2187] Loss_D: 0.4737 Loss_G: 1.9606 R1: 0.0441 R2: 0.0450 w_avg: [ 0.1824, 0.2049, 0.2089, ..., -0.1347, 0.0587, -0.0021]
INFO:root:[2][1347/2187] Loss_D: 0.4404 Loss_G: 2.2132 R1: 0.0311 R2: 0.0418 w_avg: [ 0.1823, 0.2047, 0.2083, ..., -0.1345, 0.0587, -0.0017]
INFO:root:[2][1348/2187] Loss_D: 0.4256 Loss_G: 2.0250 R1: 0.0328 R2: 0.0344 w_avg: [ 0.1822, 0.2048, 0.2081, ..., -0.1344, 0.0585, -0.0016]
INFO:root:[2][1349/2187] Loss_D: 0.3558 Loss_G: 2.1527 R1: 0.0358 R2: 0.0296 w_avg: [ 0.1823, 0.2050, 0.2085, ..., -0.1343, 0.0583, -0.0018]
INFO:root:[2][1350/2187] Loss_D: 0.3372 Loss_G: 2.3443 R1: 0.0364 R2: 0.0366 w_avg: [ 0.1821, 0.2053, 0.2090, ..., -0.1343, 0.0587, -0.0020]
INFO:root:[2][1351/2187] Loss_D: 0.2614 Loss_G: 1.7686 R1: 0.0349 R2: 0.0214 w_avg: [ 0.1823, 0.2054, 0.2090, ..., -0.1343, 0.0588, -0.0020]
INFO:root:[2][1352/2187] Loss_D: 0.2815 Loss_G: 1.8045 R1: 0.0396 R2: 0.0402 w_avg: [ 0.1818, 0.2054, 0.2088, ..., -0.1343, 0.0591, -0.0021]
INFO:root:[2][1353/2187] Loss_D: 0.2340 Loss_G: 2.7105 R1: 0.0464 R2: 0.0340 w_avg: [ 0.1819, 0.2057, 0.2091, ..., -0.1343, 0.0594, -0.0020]
INFO:root:[2][1354/2187] Loss_D: 0.2942 Loss_G: 2.1475 R1: 0.0361 R2: 0.0317 w_avg: [ 0.1823, 0.2058, 0.2090, ..., -0.1343, 0.0595, -0.0020]
INFO:root:[2][1355/2187] Loss_D: 0.3294 Loss_G: 2.6490 R1: 0.0389 R2: 0.0448 w_avg: [ 0.1824, 0.2063, 0.2095, ..., -0.1344, 0.0594, -0.0015]
INFO:root:[2][1356/2187] Loss_D: 0.3667 Loss_G: 2.5938 R1: 0.0407 R2: 0.0488 w_avg: [ 0.1825, 0.2063, 0.2096, ..., -0.1343, 0.0593, -0.0015]
INFO:root:[2][1357/2187] Loss_D: 0.4063 Loss_G: 2.2612 R1: 0.0458 R2: 0.0478 w_avg: [ 0.1825, 0.2064, 0.2098, ..., -0.1343, 0.0592, -0.0016]
INFO:root:[2][1358/2187] Loss_D: 0.2583 Loss_G: 1.6000 R1: 0.0342 R2: 0.0503 w_avg: [ 0.1824, 0.2065, 0.2096, ..., -0.1341, 0.0587, -0.0016]
INFO:root:[2][1359/2187] Loss_D: 0.3631 Loss_G: 1.8996 R1: 0.0365 R2: 0.0500 w_avg: [ 0.1825, 0.2063, 0.2099, ..., -0.1341, 0.0584, -0.0015]
INFO:root:[2][1360/2187] Loss_D: 0.5100 Loss_G: 2.2705 R1: 0.0440 R2: 0.0688 w_avg: [ 0.1823, 0.2061, 0.2104, ..., -0.1341, 0.0587, -0.0016]
INFO:root:[2][1361/2187] Loss_D: 0.4070 Loss_G: 2.1922 R1: 0.0460 R2: 0.0306 w_avg: [ 0.1818, 0.2063, 0.2102, ..., -0.1342, 0.0584, -0.0016]
INFO:root:[2][1362/2187] Loss_D: 0.3392 Loss_G: 2.2521 R1: 0.0359 R2: 0.0363 w_avg: [ 0.1819, 0.2061, 0.2101, ..., -0.1341, 0.0584, -0.0018]
INFO:root:[2][1363/2187] Loss_D: 0.3034 Loss_G: 2.5658 R1: 0.0389 R2: 0.0535 w_avg: [ 0.1820, 0.2057, 0.2103, ..., -0.1339, 0.0582, -0.0016]
INFO:root:[2][1364/2187] Loss_D: 0.2973 Loss_G: 2.3937 R1: 0.0365 R2: 0.0324 w_avg: [ 0.1820, 0.2055, 0.2101, ..., -0.1340, 0.0584, -0.0016]
INFO:root:[2][1365/2187] Loss_D: 0.3189 Loss_G: 2.2211 R1: 0.0374 R2: 0.0362 w_avg: [ 0.1821, 0.2052, 0.2103, ..., -0.1341, 0.0583, -0.0017]
INFO:root:[2][1366/2187] Loss_D: 0.4233 Loss_G: 1.9675 R1: 0.0346 R2: 0.0415 w_avg: [ 0.1825, 0.2057, 0.2105, ..., -0.1341, 0.0584, -0.0017]
INFO:root:[2][1367/2187] Loss_D: 0.3458 Loss_G: 2.4694 R1: 0.0481 R2: 0.0232 w_avg: [ 0.1823, 0.2058, 0.2104, ..., -0.1340, 0.0581, -0.0017]
INFO:root:[2][1368/2187] Loss_D: 0.3242 Loss_G: 2.9286 R1: 0.0379 R2: 0.0381 w_avg: [ 0.1823, 0.2057, 0.2105, ..., -0.1341, 0.0579, -0.0017]
INFO:root:[2][1369/2187] Loss_D: 0.3401 Loss_G: 2.5716 R1: 0.0456 R2: 0.0410 w_avg: [ 0.1823, 0.2054, 0.2102, ..., -0.1342, 0.0583, -0.0018]
INFO:root:[2][1370/2187] Loss_D: 0.2846 Loss_G: 2.3362 R1: 0.0467 R2: 0.0399 w_avg: [ 0.1821, 0.2054, 0.2100, ..., -0.1341, 0.0586, -0.0021]
INFO:root:[2][1371/2187] Loss_D: 0.3823 Loss_G: 2.5617 R1: 0.0534 R2: 0.0306 w_avg: [ 0.1821, 0.2053, 0.2099, ..., -0.1342, 0.0586, -0.0019]
INFO:root:[2][1372/2187] Loss_D: 0.3381 Loss_G: 2.4167 R1: 0.0434 R2: 0.0452 w_avg: [ 0.1819, 0.2056, 0.2099, ..., -0.1341, 0.0592, -0.0020]
INFO:root:[2][1373/2187] Loss_D: 0.4002 Loss_G: 2.0659 R1: 0.0550 R2: 0.0477 w_avg: [ 0.1822, 0.2054, 0.2098, ..., -0.1341, 0.0594, -0.0021]
INFO:root:[2][1374/2187] Loss_D: 0.5943 Loss_G: 2.9846 R1: 0.0553 R2: 0.0437 w_avg: [ 0.1821, 0.2054, 0.2099, ..., -0.1342, 0.0597, -0.0017]
INFO:root:[2][1375/2187] Loss_D: 0.3937 Loss_G: 2.3776 R1: 0.0396 R2: 0.0471 w_avg: [ 0.1822, 0.2053, 0.2099, ..., -0.1342, 0.0602, -0.0016]
INFO:root:[2][1376/2187] Loss_D: 0.4142 Loss_G: 2.3942 R1: 0.0382 R2: 0.0433 w_avg: [ 0.1816, 0.2053, 0.2100, ..., -0.1344, 0.0601, -0.0014]
INFO:root:[2][1377/2187] Loss_D: 0.3730 Loss_G: 2.0200 R1: 0.0346 R2: 0.0461 w_avg: [ 0.1819, 0.2055, 0.2099, ..., -0.1343, 0.0599, -0.0012]
INFO:root:[2][1378/2187] Loss_D: 0.2968 Loss_G: 1.7609 R1: 0.0477 R2: 0.0417 w_avg: [ 0.1822, 0.2055, 0.2100, ..., -0.1343, 0.0601, -0.0014]
INFO:root:[2][1379/2187] Loss_D: 0.3801 Loss_G: 2.2340 R1: 0.0413 R2: 0.0550 w_avg: [ 0.1821, 0.2056, 0.2105, ..., -0.1343, 0.0601, -0.0012]
INFO:root:[2][1380/2187] Loss_D: 0.3102 Loss_G: 2.2354 R1: 0.0469 R2: 0.0279 w_avg: [ 0.1820, 0.2056, 0.2101, ..., -0.1342, 0.0602, -0.0009]
INFO:root:[2][1381/2187] Loss_D: 0.3406 Loss_G: 2.3048 R1: 0.0412 R2: 0.0449 w_avg: [ 0.1819, 0.2054, 0.2098, ..., -0.1340, 0.0601, -0.0008]
INFO:root:[2][1382/2187] Loss_D: 0.3275 Loss_G: 1.9004 R1: 0.0584 R2: 0.0335 w_avg: [ 0.1817, 0.2054, 0.2099, ..., -0.1340, 0.0605, -0.0010]
INFO:root:[2][1383/2187] Loss_D: 0.3088 Loss_G: 1.8719 R1: 0.0338 R2: 0.0388 w_avg: [ 0.1820, 0.2058, 0.2100, ..., -0.1341, 0.0608, -0.0011]
INFO:root:[2][1384/2187] Loss_D: 0.1899 Loss_G: 2.2091 R1: 0.0392 R2: 0.0275 w_avg: [ 0.1822, 0.2058, 0.2103, ..., -0.1341, 0.0611, -0.0009]
INFO:root:[2][1385/2187] Loss_D: 0.5007 Loss_G: 1.8663 R1: 0.0399 R2: 0.0490 w_avg: [ 0.1817, 0.2059, 0.2104, ..., -0.1342, 0.0608, -0.0009]
INFO:root:[2][1386/2187] Loss_D: 0.3279 Loss_G: 2.0451 R1: 0.0385 R2: 0.0130 w_avg: [ 0.1813, 0.2061, 0.2100, ..., -0.1342, 0.0608, -0.0009]
INFO:root:[2][1387/2187] Loss_D: 0.3213 Loss_G: 2.6924 R1: 0.0427 R2: 0.0322 w_avg: [ 0.1811, 0.2062, 0.2102, ..., -0.1343, 0.0607, -0.0009]
INFO:root:[2][1388/2187] Loss_D: 0.3047 Loss_G: 2.3380 R1: 0.0427 R2: 0.0308 w_avg: [ 0.1810, 0.2063, 0.2103, ..., -0.1344, 0.0605, -0.0011]
INFO:root:[2][1389/2187] Loss_D: 0.3412 Loss_G: 2.2939 R1: 0.0344 R2: 0.0425 w_avg: [ 0.1814, 0.2062, 0.2102, ..., -0.1346, 0.0605, -0.0012]
INFO:root:[2][1390/2187] Loss_D: 0.3006 Loss_G: 2.0605 R1: 0.0397 R2: 0.0361 w_avg: [ 0.1816, 0.2062, 0.2103, ..., -0.1347, 0.0603, -0.0011]
INFO:root:[2][1391/2187] Loss_D: 0.5209 Loss_G: 1.8563 R1: 0.0409 R2: 0.0591 w_avg: [ 0.1815, 0.2061, 0.2102, ..., -0.1348, 0.0605, -0.0012]
INFO:root:[2][1392/2187] Loss_D: 0.2589 Loss_G: 2.0862 R1: 0.0442 R2: 0.0331 w_avg: [ 0.1819, 0.2062, 0.2101, ..., -0.1349, 0.0603, -0.0012]
INFO:root:[2][1393/2187] Loss_D: 0.3841 Loss_G: 2.1639 R1: 0.0504 R2: 0.0405 w_avg: [ 0.1817, 0.2060, 0.2101, ..., -0.1349, 0.0604, -0.0012]
INFO:root:[2][1394/2187] Loss_D: 0.3871 Loss_G: 2.0763 R1: 0.0442 R2: 0.0436 w_avg: [ 0.1816, 0.2058, 0.2107, ..., -0.1344, 0.0607, -0.0015]
INFO:root:[2][1395/2187] Loss_D: 0.4252 Loss_G: 2.0240 R1: 0.0434 R2: 0.0365 w_avg: [ 0.1812, 0.2059, 0.2104, ..., -0.1344, 0.0606, -0.0015]
INFO:root:[2][1396/2187] Loss_D: 0.4968 Loss_G: 2.2315 R1: 0.0462 R2: 0.0396 w_avg: [ 0.1816, 0.2062, 0.2106, ..., -0.1344, 0.0607, -0.0016]
INFO:root:[2][1397/2187] Loss_D: 0.2481 Loss_G: 2.1756 R1: 0.0445 R2: 0.0213 w_avg: [ 0.1813, 0.2063, 0.2108, ..., -0.1343, 0.0606, -0.0015]
INFO:root:[2][1398/2187] Loss_D: 0.2751 Loss_G: 2.0589 R1: 0.0394 R2: 0.0316 w_avg: [ 0.1813, 0.2062, 0.2112, ..., -0.1343, 0.0610, -0.0020]
INFO:root:[2][1399/2187] Loss_D: 0.2691 Loss_G: 2.7575 R1: 0.0358 R2: 0.0458 w_avg: [ 0.1819, 0.2063, 0.2118, ..., -0.1343, 0.0614, -0.0021]
INFO:root:[2][1400/2187] Loss_D: 0.2415 Loss_G: 2.5576 R1: 0.0368 R2: 0.0406 w_avg: [ 0.1820, 0.2061, 0.2120, ..., -0.1342, 0.0617, -0.0021]
INFO:root:[2][1401/2187] Loss_D: 0.2721 Loss_G: 2.4633 R1: 0.0296 R2: 0.0545 w_avg: [ 0.1818, 0.2059, 0.2117, ..., -0.1343, 0.0616, -0.0023]
INFO:root:[2][1402/2187] Loss_D: 0.4879 Loss_G: 1.6903 R1: 0.0460 R2: 0.0520 w_avg: [ 0.1818, 0.2057, 0.2118, ..., -0.1344, 0.0616, -0.0023]
INFO:root:[2][1403/2187] Loss_D: 0.2577 Loss_G: 2.0907 R1: 0.0533 R2: 0.0343 w_avg: [ 0.1815, 0.2056, 0.2120, ..., -0.1344, 0.0619, -0.0021]
INFO:root:[2][1404/2187] Loss_D: 0.2476 Loss_G: 2.2356 R1: 0.0462 R2: 0.0425 w_avg: [ 0.1813, 0.2053, 0.2119, ..., -0.1345, 0.0617, -0.0021]
INFO:root:[2][1405/2187] Loss_D: 0.1777 Loss_G: 1.8747 R1: 0.0307 R2: 0.0458 w_avg: [ 0.1816, 0.2053, 0.2123, ..., -0.1345, 0.0617, -0.0020]
INFO:root:[2][1406/2187] Loss_D: 0.3811 Loss_G: 2.2893 R1: 0.0399 R2: 0.0654 w_avg: [ 0.1815, 0.2055, 0.2126, ..., -0.1346, 0.0615, -0.0020]
INFO:root:[2][1407/2187] Loss_D: 0.3503 Loss_G: 2.3003 R1: 0.0456 R2: 0.0586 w_avg: [ 0.1811, 0.2053, 0.2123, ..., -0.1346, 0.0615, -0.0019]
INFO:root:[2][1408/2187] Loss_D: 0.5388 Loss_G: 2.1732 R1: 0.0494 R2: 0.0659 w_avg: [ 0.1810, 0.2051, 0.2124, ..., -0.1345, 0.0618, -0.0021]
INFO:root:[2][1409/2187] Loss_D: 0.4176 Loss_G: 1.8253 R1: 0.0430 R2: 0.0443 w_avg: [ 0.1812, 0.2050, 0.2125, ..., -0.1346, 0.0618, -0.0021]
INFO:root:[2][1410/2187] Loss_D: 0.2970 Loss_G: 1.7477 R1: 0.0398 R2: 0.0381 w_avg: [ 0.1809, 0.2050, 0.2123, ..., -0.1346, 0.0619, -0.0020]
INFO:root:[2][1411/2187] Loss_D: 0.4641 Loss_G: 2.1013 R1: 0.0404 R2: 0.0531 w_avg: [ 0.1807, 0.2047, 0.2125, ..., -0.1347, 0.0618, -0.0021]
INFO:root:[2][1412/2187] Loss_D: 0.3913 Loss_G: 2.4171 R1: 0.0494 R2: 0.0433 w_avg: [ 0.1809, 0.2047, 0.2123, ..., -0.1346, 0.0616, -0.0021]
INFO:root:[2][1413/2187] Loss_D: 0.5476 Loss_G: 2.6646 R1: 0.0397 R2: 0.0733 w_avg: [ 0.1813, 0.2044, 0.2121, ..., -0.1345, 0.0617, -0.0020]
INFO:root:[2][1414/2187] Loss_D: 0.2823 Loss_G: 2.9578 R1: 0.0590 R2: 0.0307 w_avg: [ 0.1811, 0.2046, 0.2123, ..., -0.1346, 0.0620, -0.0021]
INFO:root:[2][1415/2187] Loss_D: 0.2307 Loss_G: 3.1019 R1: 0.0328 R2: 0.0401 w_avg: [ 0.1809, 0.2046, 0.2123, ..., -0.1348, 0.0617, -0.0021]
INFO:root:[2][1416/2187] Loss_D: 0.4801 Loss_G: 2.1288 R1: 0.0527 R2: 0.0432 w_avg: [ 0.1808, 0.2046, 0.2122, ..., -0.1349, 0.0617, -0.0021]
INFO:root:[2][1417/2187] Loss_D: 0.2915 Loss_G: 2.7557 R1: 0.0299 R2: 0.0531 w_avg: [ 0.1807, 0.2044, 0.2119, ..., -0.1350, 0.0619, -0.0019]
INFO:root:[2][1418/2187] Loss_D: 0.1845 Loss_G: 2.6631 R1: 0.0377 R2: 0.0246 w_avg: [ 0.1807, 0.2044, 0.2122, ..., -0.1350, 0.0618, -0.0021]
INFO:root:[2][1419/2187] Loss_D: 0.1780 Loss_G: 3.0084 R1: 0.0368 R2: 0.0388 w_avg: [ 0.1807, 0.2044, 0.2123, ..., -0.1350, 0.0617, -0.0018]
INFO:root:[2][1420/2187] Loss_D: 0.1800 Loss_G: 2.9745 R1: 0.0357 R2: 0.0276 w_avg: [ 0.1811, 0.2041, 0.2123, ..., -0.1349, 0.0616, -0.0016]
INFO:root:[2][1421/2187] Loss_D: 0.2088 Loss_G: 2.5052 R1: 0.0355 R2: 0.0323 w_avg: [ 0.1809, 0.2040, 0.2125, ..., -0.1349, 0.0616, -0.0017]
INFO:root:[2][1422/2187] Loss_D: 0.1254 Loss_G: 2.4032 R1: 0.0349 R2: 0.0259 w_avg: [ 0.1811, 0.2039, 0.2125, ..., -0.1350, 0.0616, -0.0015]
INFO:root:[2][1423/2187] Loss_D: 0.2921 Loss_G: 2.2591 R1: 0.0400 R2: 0.0516 w_avg: [ 0.1809, 0.2035, 0.2124, ..., -0.1350, 0.0619, -0.0018]
INFO:root:[2][1424/2187] Loss_D: 0.4104 Loss_G: 2.5361 R1: 0.0383 R2: 0.0495 w_avg: [ 0.1806, 0.2033, 0.2127, ..., -0.1351, 0.0617, -0.0020]
INFO:root:[2][1425/2187] Loss_D: 0.2314 Loss_G: 2.7716 R1: 0.0391 R2: 0.0370 w_avg: [ 0.1805, 0.2032, 0.2128, ..., -0.1350, 0.0621, -0.0018]
INFO:root:[2][1426/2187] Loss_D: 0.3643 Loss_G: 2.4833 R1: 0.0352 R2: 0.0378 w_avg: [ 0.1804, 0.2029, 0.2127, ..., -0.1350, 0.0622, -0.0017]
INFO:root:[2][1427/2187] Loss_D: 0.3957 Loss_G: 2.2886 R1: 0.0359 R2: 0.0388 w_avg: [ 0.1807, 0.2028, 0.2126, ..., -0.1350, 0.0623, -0.0019]
INFO:root:[2][1428/2187] Loss_D: 0.4172 Loss_G: 2.6374 R1: 0.0352 R2: 0.0412 w_avg: [ 0.1806, 0.2030, 0.2124, ..., -0.1351, 0.0621, -0.0021]
INFO:root:[2][1429/2187] Loss_D: 0.2216 Loss_G: 2.2439 R1: 0.0429 R2: 0.0213 w_avg: [ 0.1803, 0.2026, 0.2122, ..., -0.1351, 0.0620, -0.0022]
INFO:root:[2][1430/2187] Loss_D: 0.2090 Loss_G: 2.4137 R1: 0.0397 R2: 0.0290 w_avg: [ 0.1800, 0.2023, 0.2119, ..., -0.1348, 0.0619, -0.0023]
INFO:root:[2][1431/2187] Loss_D: 0.2795 Loss_G: 2.4743 R1: 0.0436 R2: 0.0218 w_avg: [ 0.1798, 0.2030, 0.2118, ..., -0.1346, 0.0617, -0.0020]
INFO:root:[2][1432/2187] Loss_D: 0.2210 Loss_G: 2.8410 R1: 0.0371 R2: 0.0419 w_avg: [ 0.1794, 0.2032, 0.2122, ..., -0.1345, 0.0619, -0.0020]
INFO:root:[2][1433/2187] Loss_D: 0.2771 Loss_G: 2.6569 R1: 0.0440 R2: 0.0439 w_avg: [ 0.1790, 0.2031, 0.2123, ..., -0.1344, 0.0620, -0.0018]
INFO:root:[2][1434/2187] Loss_D: 0.2937 Loss_G: 2.3074 R1: 0.0396 R2: 0.0478 w_avg: [ 0.1790, 0.2029, 0.2127, ..., -0.1346, 0.0623, -0.0017]
INFO:root:[2][1435/2187] Loss_D: 0.2524 Loss_G: 2.3917 R1: 0.0358 R2: 0.0421 w_avg: [ 0.1793, 0.2026, 0.2128, ..., -0.1347, 0.0624, -0.0017]
INFO:root:[2][1436/2187] Loss_D: 0.2906 Loss_G: 2.9978 R1: 0.0507 R2: 0.0355 w_avg: [ 0.1790, 0.2025, 0.2128, ..., -0.1347, 0.0623, -0.0017]
INFO:root:[2][1437/2187] Loss_D: 0.2571 Loss_G: 3.2280 R1: 0.0472 R2: 0.0360 w_avg: [ 0.1786, 0.2024, 0.2128, ..., -0.1349, 0.0621, -0.0016]
INFO:root:[2][1438/2187] Loss_D: 0.2774 Loss_G: 1.9695 R1: 0.0500 R2: 0.0413 w_avg: [ 0.1793, 0.2029, 0.2128, ..., -0.1349, 0.0622, -0.0014]
INFO:root:[2][1439/2187] Loss_D: 0.2991 Loss_G: 2.8586 R1: 0.0367 R2: 0.0464 w_avg: [ 0.1794, 0.2029, 0.2128, ..., -0.1348, 0.0620, -0.0013]
INFO:root:[2][1440/2187] Loss_D: 0.3399 Loss_G: 2.6222 R1: 0.0582 R2: 0.0321 w_avg: [ 0.1796, 0.2027, 0.2131, ..., -0.1349, 0.0616, -0.0012]
INFO:root:[2][1441/2187] Loss_D: 0.2761 Loss_G: 2.3597 R1: 0.0506 R2: 0.0355 w_avg: [ 0.1798, 0.2030, 0.2129, ..., -0.1347, 0.0613, -0.0011]
INFO:root:[2][1442/2187] Loss_D: 0.4944 Loss_G: 2.3645 R1: 0.0494 R2: 0.0473 w_avg: [ 0.1794, 0.2027, 0.2140, ..., -0.1347, 0.0615, -0.0013]
INFO:root:[2][1443/2187] Loss_D: 0.4583 Loss_G: 2.4252 R1: 0.0364 R2: 0.0486 w_avg: [ 0.1795, 0.2035, 0.2137, ..., -0.1348, 0.0613, -0.0013]
INFO:root:[2][1444/2187] Loss_D: 0.2478 Loss_G: 2.2162 R1: 0.0412 R2: 0.0262 w_avg: [ 0.1793, 0.2033, 0.2137, ..., -0.1346, 0.0610, -0.0012]
INFO:root:[2][1445/2187] Loss_D: 0.2458 Loss_G: 2.2215 R1: 0.0406 R2: 0.0245 w_avg: [ 0.1790, 0.2035, 0.2136, ..., -0.1347, 0.0609, -0.0012]
INFO:root:[2][1446/2187] Loss_D: 0.4556 Loss_G: 2.1031 R1: 0.0377 R2: 0.0443 w_avg: [ 0.1795, 0.2033, 0.2141, ..., -0.1348, 0.0611, -0.0014]
INFO:root:[2][1447/2187] Loss_D: 0.2542 Loss_G: 2.1582 R1: 0.0463 R2: 0.0275 w_avg: [ 0.1791, 0.2033, 0.2143, ..., -0.1348, 0.0610, -0.0014]
INFO:root:[2][1448/2187] Loss_D: 0.3460 Loss_G: 1.7560 R1: 0.0427 R2: 0.0480 w_avg: [ 0.1791, 0.2028, 0.2138, ..., -0.1347, 0.0611, -0.0015]
INFO:root:[2][1449/2187] Loss_D: 0.5360 Loss_G: 2.0742 R1: 0.0368 R2: 0.0438 w_avg: [ 0.1796, 0.2035, 0.2141, ..., -0.1344, 0.0609, -0.0013]
INFO:root:[2][1450/2187] Loss_D: 0.2885 Loss_G: 2.4819 R1: 0.0395 R2: 0.0386 w_avg: [ 0.1795, 0.2035, 0.2140, ..., -0.1344, 0.0608, -0.0014]
INFO:root:[2][1451/2187] Loss_D: 0.2562 Loss_G: 1.9303 R1: 0.0398 R2: 0.0294 w_avg: [ 0.1796, 0.2032, 0.2139, ..., -0.1345, 0.0609, -0.0015]
INFO:root:[2][1452/2187] Loss_D: 0.4605 Loss_G: 1.9702 R1: 0.0431 R2: 0.0378 w_avg: [ 0.1797, 0.2032, 0.2146, ..., -0.1345, 0.0613, -0.0018]
INFO:root:[2][1453/2187] Loss_D: 0.4760 Loss_G: 2.2849 R1: 0.0293 R2: 0.0458 w_avg: [ 0.1797, 0.2033, 0.2149, ..., -0.1345, 0.0613, -0.0019]
INFO:root:[2][1454/2187] Loss_D: 0.2827 Loss_G: 2.2210 R1: 0.0312 R2: 0.0449 w_avg: [ 0.1794, 0.2031, 0.2149, ..., -0.1344, 0.0610, -0.0021]
INFO:root:[2][1455/2187] Loss_D: 0.4487 Loss_G: 2.1060 R1: 0.0397 R2: 0.0420 w_avg: [ 0.1799, 0.2030, 0.2150, ..., -0.1345, 0.0611, -0.0018]
INFO:root:[2][1456/2187] Loss_D: 0.3838 Loss_G: 2.1480 R1: 0.0512 R2: 0.0417 w_avg: [ 0.1809, 0.2031, 0.2155, ..., -0.1346, 0.0616, -0.0019]
INFO:root:[2][1457/2187] Loss_D: 0.4813 Loss_G: 2.6715 R1: 0.0398 R2: 0.0466 w_avg: [ 0.1806, 0.2032, 0.2152, ..., -0.1344, 0.0613, -0.0022]
INFO:root:[2][1458/2187] Loss_D: 0.4354 Loss_G: 2.3936 R1: 0.0426 R2: 0.0438 w_avg: [ 0.1804, 0.2032, 0.2153, ..., -0.1342, 0.0611, -0.0023]
INFO:root:[2][1459/2187] Loss_D: 0.1854 Loss_G: 2.2356 R1: 0.0315 R2: 0.0430 w_avg: [ 0.1801, 0.2033, 0.2150, ..., -0.1342, 0.0607, -0.0020]
INFO:root:[2][1460/2187] Loss_D: 0.3604 Loss_G: 2.1603 R1: 0.0404 R2: 0.0498 w_avg: [ 0.1799, 0.2031, 0.2156, ..., -0.1342, 0.0606, -0.0020]
INFO:root:[2][1461/2187] Loss_D: 0.3787 Loss_G: 2.1478 R1: 0.0475 R2: 0.0474 w_avg: [ 0.1796, 0.2032, 0.2154, ..., -0.1343, 0.0605, -0.0018]
INFO:root:[2][1462/2187] Loss_D: 0.4017 Loss_G: 2.2694 R1: 0.0389 R2: 0.0379 w_avg: [ 0.1802, 0.2031, 0.2158, ..., -0.1343, 0.0604, -0.0018]
INFO:root:[2][1463/2187] Loss_D: 0.4723 Loss_G: 2.3012 R1: 0.0371 R2: 0.0400 w_avg: [ 0.1801, 0.2028, 0.2158, ..., -0.1344, 0.0605, -0.0016]
INFO:root:[2][1464/2187] Loss_D: 0.3803 Loss_G: 2.6000 R1: 0.0398 R2: 0.0353 w_avg: [ 0.1804, 0.2027, 0.2157, ..., -0.1343, 0.0606, -0.0017]
INFO:root:[2][1465/2187] Loss_D: 0.2440 Loss_G: 1.8943 R1: 0.0352 R2: 0.0383 w_avg: [ 0.1809, 0.2027, 0.2160, ..., -0.1343, 0.0606, -0.0017]
INFO:root:[2][1466/2187] Loss_D: 0.3818 Loss_G: 1.9544 R1: 0.0355 R2: 0.0382 w_avg: [ 0.1807, 0.2023, 0.2163, ..., -0.1343, 0.0607, -0.0020]
INFO:root:[2][1467/2187] Loss_D: 0.2367 Loss_G: 2.3734 R1: 0.0518 R2: 0.0341 w_avg: [ 0.1807, 0.2026, 0.2161, ..., -0.1343, 0.0607, -0.0021]
INFO:root:[2][1468/2187] Loss_D: 0.2858 Loss_G: 2.1302 R1: 0.0357 R2: 0.0388 w_avg: [ 0.1808, 0.2024, 0.2158, ..., -0.1344, 0.0607, -0.0020]
INFO:root:[2][1469/2187] Loss_D: 0.2457 Loss_G: 2.5126 R1: 0.0425 R2: 0.0193 w_avg: [ 0.1807, 0.2021, 0.2157, ..., -0.1344, 0.0603, -0.0020]
INFO:root:[2][1470/2187] Loss_D: 0.2409 Loss_G: 2.6369 R1: 0.0380 R2: 0.0415 w_avg: [ 0.1811, 0.2021, 0.2156, ..., -0.1344, 0.0604, -0.0020]
INFO:root:[2][1471/2187] Loss_D: 0.3425 Loss_G: 2.9696 R1: 0.0485 R2: 0.0486 w_avg: [ 0.1809, 0.2024, 0.2156, ..., -0.1345, 0.0605, -0.0022]
INFO:root:[2][1472/2187] Loss_D: 0.2688 Loss_G: 1.9689 R1: 0.0409 R2: 0.0437 w_avg: [ 0.1813, 0.2024, 0.2154, ..., -0.1346, 0.0608, -0.0023]
INFO:root:[2][1473/2187] Loss_D: 0.3458 Loss_G: 2.2221 R1: 0.0467 R2: 0.0418 w_avg: [ 0.1816, 0.2022, 0.2156, ..., -0.1346, 0.0609, -0.0025]
INFO:root:[2][1474/2187] Loss_D: 0.2981 Loss_G: 2.3718 R1: 0.0518 R2: 0.0347 w_avg: [ 0.1822, 0.2021, 0.2158, ..., -0.1347, 0.0610, -0.0025]
INFO:root:[2][1475/2187] Loss_D: 0.2943 Loss_G: 2.1245 R1: 0.0434 R2: 0.0461 w_avg: [ 0.1821, 0.2021, 0.2157, ..., -0.1348, 0.0607, -0.0027]
INFO:root:[2][1476/2187] Loss_D: 0.3110 Loss_G: 2.0308 R1: 0.0453 R2: 0.0352 w_avg: [ 0.1822, 0.2022, 0.2154, ..., -0.1347, 0.0606, -0.0028]
INFO:root:[2][1477/2187] Loss_D: 0.4616 Loss_G: 2.8357 R1: 0.0551 R2: 0.0375 w_avg: [ 0.1826, 0.2020, 0.2153, ..., -0.1346, 0.0608, -0.0028]
INFO:root:[2][1478/2187] Loss_D: 0.3935 Loss_G: 2.1571 R1: 0.0530 R2: 0.0431 w_avg: [ 0.1830, 0.2020, 0.2150, ..., -0.1346, 0.0608, -0.0025]
INFO:root:[2][1479/2187] Loss_D: 0.3236 Loss_G: 2.1050 R1: 0.0376 R2: 0.0448 w_avg: [ 0.1830, 0.2019, 0.2153, ..., -0.1347, 0.0609, -0.0027]
INFO:root:[2][1480/2187] Loss_D: 0.3591 Loss_G: 2.8994 R1: 0.0342 R2: 0.0372 w_avg: [ 0.1828, 0.2015, 0.2152, ..., -0.1348, 0.0613, -0.0028]
INFO:root:[2][1481/2187] Loss_D: 0.1756 Loss_G: 2.9736 R1: 0.0491 R2: 0.0197 w_avg: [ 0.1833, 0.2015, 0.2155, ..., -0.1349, 0.0616, -0.0029]
INFO:root:[2][1482/2187] Loss_D: 0.4249 Loss_G: 2.9274 R1: 0.0359 R2: 0.0432 w_avg: [ 0.1835, 0.2014, 0.2149, ..., -0.1349, 0.0614, -0.0026]
INFO:root:[2][1483/2187] Loss_D: 0.3005 Loss_G: 1.6995 R1: 0.0310 R2: 0.0382 w_avg: [ 0.1837, 0.2020, 0.2149, ..., -0.1349, 0.0614, -0.0028]
INFO:root:[2][1484/2187] Loss_D: 0.7230 Loss_G: 2.2852 R1: 0.0431 R2: 0.0400 w_avg: [ 0.1836, 0.2021, 0.2148, ..., -0.1348, 0.0613, -0.0029]
INFO:root:[2][1485/2187] Loss_D: 0.2481 Loss_G: 2.9216 R1: 0.0408 R2: 0.0152 w_avg: [ 0.1839, 0.2021, 0.2148, ..., -0.1348, 0.0609, -0.0029]
INFO:root:[2][1486/2187] Loss_D: 0.3779 Loss_G: 1.8284 R1: 0.0422 R2: 0.0304 w_avg: [ 0.1840, 0.2019, 0.2143, ..., -0.1347, 0.0607, -0.0028]
INFO:root:[2][1487/2187] Loss_D: 0.2122 Loss_G: 1.9855 R1: 0.0345 R2: 0.0294 w_avg: [ 0.1837, 0.2016, 0.2141, ..., -0.1349, 0.0606, -0.0031]
INFO:root:[2][1488/2187] Loss_D: 0.3570 Loss_G: 1.6157 R1: 0.0365 R2: 0.0361 w_avg: [ 0.1836, 0.2016, 0.2143, ..., -0.1350, 0.0602, -0.0031]
INFO:root:[2][1489/2187] Loss_D: 0.2589 Loss_G: 1.9640 R1: 0.0316 R2: 0.0351 w_avg: [ 0.1833, 0.2011, 0.2139, ..., -0.1351, 0.0601, -0.0034]
INFO:root:[2][1490/2187] Loss_D: 0.4303 Loss_G: 1.7267 R1: 0.0466 R2: 0.0405 w_avg: [ 0.1830, 0.2010, 0.2141, ..., -0.1349, 0.0597, -0.0032]
INFO:root:[2][1491/2187] Loss_D: 0.2589 Loss_G: 2.3178 R1: 0.0407 R2: 0.0270 w_avg: [ 0.1829, 0.2013, 0.2147, ..., -0.1349, 0.0595, -0.0034]
INFO:root:[2][1492/2187] Loss_D: 0.2385 Loss_G: 2.0176 R1: 0.0381 R2: 0.0256 w_avg: [ 0.1828, 0.2013, 0.2151, ..., -0.1349, 0.0598, -0.0031]
INFO:root:[2][1493/2187] Loss_D: 0.3283 Loss_G: 2.0758 R1: 0.0408 R2: 0.0364 w_avg: [ 0.1829, 0.2012, 0.2153, ..., -0.1349, 0.0597, -0.0030]
INFO:root:[2][1494/2187] Loss_D: 0.5265 Loss_G: 2.7810 R1: 0.0366 R2: 0.0427 w_avg: [ 0.1827, 0.2012, 0.2154, ..., -0.1351, 0.0596, -0.0027]
INFO:root:[2][1495/2187] Loss_D: 0.2487 Loss_G: 2.1306 R1: 0.0375 R2: 0.0420 w_avg: [ 0.1822, 0.2012, 0.2152, ..., -0.1351, 0.0595, -0.0028]
INFO:root:[2][1496/2187] Loss_D: 0.3176 Loss_G: 2.0010 R1: 0.0366 R2: 0.0347 w_avg: [ 0.1816, 0.2012, 0.2146, ..., -0.1350, 0.0597, -0.0029]
INFO:root:[2][1497/2187] Loss_D: 0.3974 Loss_G: 1.6896 R1: 0.0404 R2: 0.0317 w_avg: [ 0.1819, 0.2012, 0.2146, ..., -0.1351, 0.0601, -0.0029]
INFO:root:[2][1498/2187] Loss_D: 0.3898 Loss_G: 2.6637 R1: 0.0327 R2: 0.0292 w_avg: [ 0.1815, 0.2012, 0.2146, ..., -0.1351, 0.0601, -0.0026]
INFO:root:[2][1499/2187] Loss_D: 0.2278 Loss_G: 1.7084 R1: 0.0375 R2: 0.0232 w_avg: [ 0.1815, 0.2018, 0.2146, ..., -0.1352, 0.0601, -0.0028]
INFO:root:[2][1500/2187] Loss_D: 0.3281 Loss_G: 2.2868 R1: 0.0366 R2: 0.0390 w_avg: [ 0.1817, 0.2022, 0.2145, ..., -0.1352, 0.0603, -0.0027]
INFO:root:[2][1501/2187] Loss_D: 0.4596 Loss_G: 1.7865 R1: 0.0355 R2: 0.0472 w_avg: [ 0.1818, 0.2022, 0.2143, ..., -0.1352, 0.0601, -0.0028]
INFO:root:[2][1502/2187] Loss_D: 0.3593 Loss_G: 2.0869 R1: 0.0399 R2: 0.0334 w_avg: [ 0.1821, 0.2020, 0.2140, ..., -0.1353, 0.0601, -0.0023]
INFO:root:[2][1503/2187] Loss_D: 0.2953 Loss_G: 1.9977 R1: 0.0415 R2: 0.0265 w_avg: [ 0.1824, 0.2024, 0.2141, ..., -0.1353, 0.0600, -0.0025]
INFO:root:[2][1504/2187] Loss_D: 0.3258 Loss_G: 2.1147 R1: 0.0386 R2: 0.0337 w_avg: [ 0.1823, 0.2023, 0.2144, ..., -0.1354, 0.0598, -0.0028]
INFO:root:[2][1505/2187] Loss_D: 0.3357 Loss_G: 2.4578 R1: 0.0384 R2: 0.0182 w_avg: [ 0.1826, 0.2021, 0.2143, ..., -0.1351, 0.0599, -0.0029]
INFO:root:[2][1506/2187] Loss_D: 0.2740 Loss_G: 2.0341 R1: 0.0350 R2: 0.0269 w_avg: [ 0.1824, 0.2023, 0.2145, ..., -0.1350, 0.0597, -0.0028]
INFO:root:[2][1507/2187] Loss_D: 0.4019 Loss_G: 2.1443 R1: 0.0408 R2: 0.0293 w_avg: [ 0.1824, 0.2021, 0.2143, ..., -0.1350, 0.0598, -0.0025]
INFO:root:[2][1508/2187] Loss_D: 0.2052 Loss_G: 2.0993 R1: 0.0403 R2: 0.0363 w_avg: [ 0.1825, 0.2022, 0.2144, ..., -0.1351, 0.0602, -0.0027]
INFO:root:[2][1509/2187] Loss_D: 0.3057 Loss_G: 2.0014 R1: 0.0458 R2: 0.0290 w_avg: [ 0.1829, 0.2018, 0.2147, ..., -0.1349, 0.0604, -0.0027]
INFO:root:[2][1510/2187] Loss_D: 0.3375 Loss_G: 2.4133 R1: 0.0452 R2: 0.0376 w_avg: [ 0.1827, 0.2013, 0.2143, ..., -0.1350, 0.0606, -0.0028]
INFO:root:[2][1511/2187] Loss_D: 0.2824 Loss_G: 2.6172 R1: 0.0448 R2: 0.0284 w_avg: [ 0.1829, 0.2016, 0.2150, ..., -0.1350, 0.0605, -0.0028]
INFO:root:[2][1512/2187] Loss_D: 0.2733 Loss_G: 2.7602 R1: 0.0433 R2: 0.0476 w_avg: [ 0.1831, 0.2014, 0.2148, ..., -0.1349, 0.0607, -0.0025]
INFO:root:[2][1513/2187] Loss_D: 0.3561 Loss_G: 2.5448 R1: 0.0407 R2: 0.0463 w_avg: [ 0.1831, 0.2010, 0.2142, ..., -0.1351, 0.0606, -0.0023]
INFO:root:[2][1514/2187] Loss_D: 0.3657 Loss_G: 2.4090 R1: 0.0430 R2: 0.0459 w_avg: [ 0.1827, 0.2008, 0.2141, ..., -0.1350, 0.0608, -0.0025]
INFO:root:[2][1515/2187] Loss_D: 0.2985 Loss_G: 2.0387 R1: 0.0389 R2: 0.0476 w_avg: [ 0.1825, 0.2009, 0.2140, ..., -0.1350, 0.0607, -0.0023]
INFO:root:[2][1516/2187] Loss_D: 0.3847 Loss_G: 2.6115 R1: 0.0335 R2: 0.0425 w_avg: [ 0.1826, 0.2007, 0.2140, ..., -0.1350, 0.0605, -0.0025]
INFO:root:[2][1517/2187] Loss_D: 0.3902 Loss_G: 2.3330 R1: 0.0378 R2: 0.0463 w_avg: [ 0.1828, 0.2004, 0.2139, ..., -0.1351, 0.0606, -0.0026]
INFO:root:[2][1518/2187] Loss_D: 0.2598 Loss_G: 2.4091 R1: 0.0403 R2: 0.0389 w_avg: [ 0.1823, 0.2001, 0.2141, ..., -0.1353, 0.0604, -0.0025]
INFO:root:[2][1519/2187] Loss_D: 0.2045 Loss_G: 2.0424 R1: 0.0487 R2: 0.0374 w_avg: [ 0.1828, 0.1998, 0.2144, ..., -0.1352, 0.0607, -0.0023]
INFO:root:[2][1520/2187] Loss_D: 0.3192 Loss_G: 2.1562 R1: 0.0365 R2: 0.0490 w_avg: [ 0.1827, 0.1996, 0.2146, ..., -0.1353, 0.0604, -0.0025]
INFO:root:[2][1521/2187] Loss_D: 0.2965 Loss_G: 2.3100 R1: 0.0425 R2: 0.0394 w_avg: [ 0.1827, 0.1994, 0.2143, ..., -0.1350, 0.0601, -0.0024]
INFO:root:[2][1522/2187] Loss_D: 0.3052 Loss_G: 2.1929 R1: 0.0347 R2: 0.0456 w_avg: [ 0.1828, 0.1993, 0.2144, ..., -0.1351, 0.0603, -0.0023]
INFO:root:[2][1523/2187] Loss_D: 0.3035 Loss_G: 2.4923 R1: 0.0474 R2: 0.0424 w_avg: [ 0.1828, 0.1989, 0.2143, ..., -0.1351, 0.0602, -0.0023]
INFO:root:[2][1524/2187] Loss_D: 0.3462 Loss_G: 2.1289 R1: 0.0445 R2: 0.0478 w_avg: [ 0.1827, 0.1988, 0.2142, ..., -0.1351, 0.0603, -0.0023]
INFO:root:[2][1525/2187] Loss_D: 0.3324 Loss_G: 2.5281 R1: 0.0490 R2: 0.0321 w_avg: [ 0.1824, 0.1986, 0.2138, ..., -0.1350, 0.0603, -0.0024]
INFO:root:[2][1526/2187] Loss_D: 0.4269 Loss_G: 2.4722 R1: 0.0384 R2: 0.0662 w_avg: [ 0.1821, 0.1986, 0.2137, ..., -0.1351, 0.0604, -0.0022]
INFO:root:[2][1527/2187] Loss_D: 0.2262 Loss_G: 2.1459 R1: 0.0497 R2: 0.0262 w_avg: [ 0.1819, 0.1985, 0.2135, ..., -0.1349, 0.0605, -0.0024]
INFO:root:[2][1528/2187] Loss_D: 0.3718 Loss_G: 2.1324 R1: 0.0400 R2: 0.0449 w_avg: [ 0.1817, 0.1984, 0.2132, ..., -0.1350, 0.0604, -0.0025]
INFO:root:[2][1529/2187] Loss_D: 0.3345 Loss_G: 2.2291 R1: 0.0479 R2: 0.0374 w_avg: [ 0.1824, 0.1990, 0.2136, ..., -0.1351, 0.0605, -0.0028]
INFO:root:[2][1530/2187] Loss_D: 0.2687 Loss_G: 2.2981 R1: 0.0428 R2: 0.0424 w_avg: [ 0.1826, 0.1991, 0.2136, ..., -0.1351, 0.0605, -0.0028]
INFO:root:[2][1531/2187] Loss_D: 0.2490 Loss_G: 2.2330 R1: 0.0347 R2: 0.0434 w_avg: [ 0.1830, 0.1995, 0.2141, ..., -0.1352, 0.0604, -0.0025]
INFO:root:[2][1532/2187] Loss_D: 0.2751 Loss_G: 1.9229 R1: 0.0379 R2: 0.0495 w_avg: [ 0.1828, 0.1997, 0.2141, ..., -0.1353, 0.0603, -0.0026]
INFO:root:[2][1533/2187] Loss_D: 0.2627 Loss_G: 2.3392 R1: 0.0476 R2: 0.0380 w_avg: [ 0.1825, 0.1993, 0.2137, ..., -0.1352, 0.0603, -0.0027]
INFO:root:[2][1534/2187] Loss_D: 0.2803 Loss_G: 2.3220 R1: 0.0504 R2: 0.0377 w_avg: [ 0.1827, 0.1994, 0.2139, ..., -0.1352, 0.0605, -0.0030]
INFO:root:[2][1535/2187] Loss_D: 0.3499 Loss_G: 2.5174 R1: 0.0377 R2: 0.0473 w_avg: [ 0.1834, 0.1994, 0.2142, ..., -0.1352, 0.0609, -0.0029]
INFO:root:[2][1536/2187] Loss_D: 0.4201 Loss_G: 2.0687 R1: 0.0478 R2: 0.0476 w_avg: [ 0.1831, 0.1997, 0.2145, ..., -0.1352, 0.0606, -0.0029]
INFO:root:[2][1537/2187] Loss_D: 0.3580 Loss_G: 2.3405 R1: 0.0517 R2: 0.0363 w_avg: [ 0.1831, 0.1997, 0.2147, ..., -0.1353, 0.0609, -0.0031]
INFO:root:[2][1538/2187] Loss_D: 0.2524 Loss_G: 2.8105 R1: 0.0414 R2: 0.0269 w_avg: [ 0.1831, 0.1997, 0.2151, ..., -0.1352, 0.0610, -0.0032]
INFO:root:[2][1539/2187] Loss_D: 0.2026 Loss_G: 2.6760 R1: 0.0445 R2: 0.0284 w_avg: [ 0.1833, 0.1997, 0.2152, ..., -0.1354, 0.0608, -0.0033]
INFO:root:[2][1540/2187] Loss_D: 0.2548 Loss_G: 2.9092 R1: 0.0476 R2: 0.0363 w_avg: [ 0.1833, 0.2000, 0.2148, ..., -0.1356, 0.0607, -0.0033]
INFO:root:[2][1541/2187] Loss_D: 0.3246 Loss_G: 2.9127 R1: 0.0477 R2: 0.0433 w_avg: [ 0.1828, 0.2001, 0.2149, ..., -0.1353, 0.0606, -0.0032]
INFO:root:[2][1542/2187] Loss_D: 0.6091 Loss_G: 2.6043 R1: 0.0355 R2: 0.0428 w_avg: [ 0.1826, 0.2002, 0.2149, ..., -0.1352, 0.0607, -0.0032]
INFO:root:[2][1543/2187] Loss_D: 0.3880 Loss_G: 2.2348 R1: 0.0496 R2: 0.0381 w_avg: [ 0.1827, 0.2000, 0.2149, ..., -0.1352, 0.0606, -0.0034]
INFO:root:[2][1544/2187] Loss_D: 0.3071 Loss_G: 2.3129 R1: 0.0469 R2: 0.0426 w_avg: [ 0.1826, 0.1997, 0.2149, ..., -0.1353, 0.0612, -0.0036]
INFO:root:[2][1545/2187] Loss_D: 0.4461 Loss_G: 2.1657 R1: 0.0467 R2: 0.0444 w_avg: [ 0.1826, 0.1998, 0.2148, ..., -0.1353, 0.0612, -0.0037]
INFO:root:[2][1546/2187] Loss_D: 0.3730 Loss_G: 1.6253 R1: 0.0305 R2: 0.0514 w_avg: [ 0.1824, 0.1998, 0.2147, ..., -0.1353, 0.0610, -0.0039]
INFO:root:[2][1547/2187] Loss_D: 0.4158 Loss_G: 2.0608 R1: 0.0293 R2: 0.0475 w_avg: [ 0.1819, 0.1998, 0.2146, ..., -0.1354, 0.0612, -0.0041]
INFO:root:[2][1548/2187] Loss_D: 0.3779 Loss_G: 2.1183 R1: 0.0323 R2: 0.0510 w_avg: [ 0.1816, 0.1999, 0.2147, ..., -0.1355, 0.0611, -0.0042]
INFO:root:[2][1549/2187] Loss_D: 0.4562 Loss_G: 2.3276 R1: 0.0351 R2: 0.0475 w_avg: [ 0.1813, 0.1998, 0.2146, ..., -0.1356, 0.0614, -0.0041]
INFO:root:[2][1550/2187] Loss_D: 0.2752 Loss_G: 2.4029 R1: 0.0419 R2: 0.0515 w_avg: [ 0.1813, 0.1996, 0.2143, ..., -0.1355, 0.0617, -0.0039]
INFO:root:[2][1551/2187] Loss_D: 0.2206 Loss_G: 1.9279 R1: 0.0340 R2: 0.0395 w_avg: [ 0.1810, 0.1993, 0.2142, ..., -0.1355, 0.0617, -0.0040]
INFO:root:[2][1552/2187] Loss_D: 0.5284 Loss_G: 3.1186 R1: 0.0350 R2: 0.0673 w_avg: [ 0.1810, 0.1993, 0.2143, ..., -0.1355, 0.0618, -0.0041]
INFO:root:[2][1553/2187] Loss_D: 0.3861 Loss_G: 2.1184 R1: 0.0513 R2: 0.0405 w_avg: [ 0.1812, 0.1992, 0.2139, ..., -0.1356, 0.0622, -0.0043]
INFO:root:[2][1554/2187] Loss_D: 0.2101 Loss_G: 1.9604 R1: 0.0431 R2: 0.0370 w_avg: [ 0.1809, 0.1990, 0.2136, ..., -0.1356, 0.0623, -0.0042]
INFO:root:[2][1555/2187] Loss_D: 0.2176 Loss_G: 2.5577 R1: 0.0431 R2: 0.0469 w_avg: [ 0.1807, 0.1991, 0.2139, ..., -0.1355, 0.0623, -0.0041]
INFO:root:[2][1556/2187] Loss_D: 0.2509 Loss_G: 2.4876 R1: 0.0487 R2: 0.0327 w_avg: [ 0.1807, 0.1995, 0.2138, ..., -0.1354, 0.0623, -0.0041]
INFO:root:[2][1557/2187] Loss_D: 0.3493 Loss_G: 2.1266 R1: 0.0440 R2: 0.0590 w_avg: [ 0.1807, 0.1995, 0.2138, ..., -0.1353, 0.0622, -0.0040]
INFO:root:[2][1558/2187] Loss_D: 0.3503 Loss_G: 2.3320 R1: 0.0448 R2: 0.0443 w_avg: [ 0.1805, 0.1990, 0.2134, ..., -0.1354, 0.0621, -0.0043]
INFO:root:[2][1559/2187] Loss_D: 0.4810 Loss_G: 2.1591 R1: 0.0352 R2: 0.0464 w_avg: [ 0.1808, 0.1991, 0.2133, ..., -0.1354, 0.0622, -0.0044]
INFO:root:[2][1560/2187] Loss_D: 0.4081 Loss_G: 2.5590 R1: 0.0396 R2: 0.0345 w_avg: [ 0.1811, 0.1992, 0.2133, ..., -0.1355, 0.0622, -0.0045]
INFO:root:[2][1561/2187] Loss_D: 0.5310 Loss_G: 2.2464 R1: 0.0362 R2: 0.0380 w_avg: [ 0.1815, 0.1992, 0.2135, ..., -0.1355, 0.0623, -0.0044]
INFO:root:[2][1562/2187] Loss_D: 0.4449 Loss_G: 2.4920 R1: 0.0393 R2: 0.0357 w_avg: [ 0.1816, 0.1992, 0.2136, ..., -0.1356, 0.0625, -0.0045]
INFO:root:[2][1563/2187] Loss_D: 0.3435 Loss_G: 2.1398 R1: 0.0329 R2: 0.0359 w_avg: [ 0.1817, 0.1992, 0.2133, ..., -0.1356, 0.0624, -0.0045]
INFO:root:[2][1564/2187] Loss_D: 0.3723 Loss_G: 2.1312 R1: 0.0370 R2: 0.0328 w_avg: [ 0.1821, 0.1992, 0.2128, ..., -0.1357, 0.0629, -0.0044]
INFO:root:[2][1565/2187] Loss_D: 0.2964 Loss_G: 2.1056 R1: 0.0437 R2: 0.0269 w_avg: [ 0.1821, 0.1992, 0.2133, ..., -0.1356, 0.0628, -0.0044]
INFO:root:[2][1566/2187] Loss_D: 0.3168 Loss_G: 1.8750 R1: 0.0431 R2: 0.0368 w_avg: [ 0.1820, 0.1990, 0.2135, ..., -0.1357, 0.0633, -0.0046]
INFO:root:[2][1567/2187] Loss_D: 0.3148 Loss_G: 2.4178 R1: 0.0290 R2: 0.0379 w_avg: [ 0.1818, 0.1986, 0.2133, ..., -0.1359, 0.0634, -0.0047]
INFO:root:[2][1568/2187] Loss_D: 0.4656 Loss_G: 2.2443 R1: 0.0404 R2: 0.0460 w_avg: [ 0.1817, 0.1987, 0.2133, ..., -0.1360, 0.0634, -0.0049]
INFO:root:[2][1569/2187] Loss_D: 0.3182 Loss_G: 1.7619 R1: 0.0235 R2: 0.0423 w_avg: [ 0.1814, 0.1987, 0.2134, ..., -0.1360, 0.0635, -0.0051]
INFO:root:[2][1570/2187] Loss_D: 0.5000 Loss_G: 2.2019 R1: 0.0422 R2: 0.0345 w_avg: [ 0.1812, 0.1992, 0.2131, ..., -0.1360, 0.0634, -0.0050]
INFO:root:[2][1571/2187] Loss_D: 0.3289 Loss_G: 2.2114 R1: 0.0315 R2: 0.0448 w_avg: [ 0.1811, 0.1990, 0.2134, ..., -0.1361, 0.0634, -0.0048]
INFO:root:[2][1572/2187] Loss_D: 0.5136 Loss_G: 1.7560 R1: 0.0372 R2: 0.0440 w_avg: [ 0.1809, 0.1990, 0.2134, ..., -0.1362, 0.0639, -0.0050]
INFO:root:[2][1573/2187] Loss_D: 0.3899 Loss_G: 1.8549 R1: 0.0389 R2: 0.0259 w_avg: [ 0.1809, 0.1992, 0.2133, ..., -0.1363, 0.0638, -0.0049]
INFO:root:[2][1574/2187] Loss_D: 0.4465 Loss_G: 2.3156 R1: 0.0420 R2: 0.0243 w_avg: [ 0.1807, 0.1992, 0.2134, ..., -0.1362, 0.0638, -0.0050]
INFO:root:[2][1575/2187] Loss_D: 0.3775 Loss_G: 1.8862 R1: 0.0445 R2: 0.0385 w_avg: [ 0.1805, 0.1989, 0.2132, ..., -0.1363, 0.0639, -0.0048]
INFO:root:[2][1576/2187] Loss_D: 0.4084 Loss_G: 1.9336 R1: 0.0380 R2: 0.0472 w_avg: [ 0.1806, 0.1987, 0.2132, ..., -0.1364, 0.0643, -0.0047]
INFO:root:[2][1577/2187] Loss_D: 0.3772 Loss_G: 1.4625 R1: 0.0531 R2: 0.0400 w_avg: [ 0.1808, 0.1984, 0.2130, ..., -0.1363, 0.0646, -0.0048]
INFO:root:[2][1578/2187] Loss_D: 0.3792 Loss_G: 2.1190 R1: 0.0501 R2: 0.0445 w_avg: [ 0.1809, 0.1985, 0.2133, ..., -0.1363, 0.0646, -0.0050]
INFO:root:[2][1579/2187] Loss_D: 0.3751 Loss_G: 1.8833 R1: 0.0451 R2: 0.0381 w_avg: [ 0.1806, 0.1982, 0.2134, ..., -0.1364, 0.0644, -0.0050]
INFO:root:[2][1580/2187] Loss_D: 0.3727 Loss_G: 1.7463 R1: 0.0423 R2: 0.0445 w_avg: [ 0.1807, 0.1983, 0.2133, ..., -0.1363, 0.0642, -0.0050]
INFO:root:[2][1581/2187] Loss_D: 0.3244 Loss_G: 2.0006 R1: 0.0380 R2: 0.0411 w_avg: [ 0.1806, 0.1983, 0.2134, ..., -0.1364, 0.0643, -0.0053]
INFO:root:[2][1582/2187] Loss_D: 0.4032 Loss_G: 2.2484 R1: 0.0338 R2: 0.0398 w_avg: [ 0.1809, 0.1983, 0.2135, ..., -0.1364, 0.0646, -0.0051]
INFO:root:[2][1583/2187] Loss_D: 0.3900 Loss_G: 1.5308 R1: 0.0336 R2: 0.0405 w_avg: [ 0.1811, 0.1983, 0.2134, ..., -0.1364, 0.0647, -0.0053]
INFO:root:[2][1584/2187] Loss_D: 0.3819 Loss_G: 1.8651 R1: 0.0428 R2: 0.0268 w_avg: [ 0.1807, 0.1986, 0.2134, ..., -0.1365, 0.0647, -0.0052]
INFO:root:[2][1585/2187] Loss_D: 0.2947 Loss_G: 1.9881 R1: 0.0501 R2: 0.0276 w_avg: [ 0.1803, 0.1983, 0.2137, ..., -0.1366, 0.0648, -0.0053]
INFO:root:[2][1586/2187] Loss_D: 0.2422 Loss_G: 2.3160 R1: 0.0372 R2: 0.0351 w_avg: [ 0.1804, 0.1984, 0.2139, ..., -0.1367, 0.0652, -0.0052]
INFO:root:[2][1587/2187] Loss_D: 0.3278 Loss_G: 1.7554 R1: 0.0348 R2: 0.0379 w_avg: [ 0.1806, 0.1983, 0.2139, ..., -0.1368, 0.0657, -0.0052]
INFO:root:[2][1588/2187] Loss_D: 0.3118 Loss_G: 2.3133 R1: 0.0371 R2: 0.0450 w_avg: [ 0.1801, 0.1986, 0.2141, ..., -0.1368, 0.0657, -0.0054]
INFO:root:[2][1589/2187] Loss_D: 0.2913 Loss_G: 1.9103 R1: 0.0396 R2: 0.0320 w_avg: [ 0.1801, 0.1986, 0.2142, ..., -0.1366, 0.0659, -0.0055]
INFO:root:[2][1590/2187] Loss_D: 0.3504 Loss_G: 2.7980 R1: 0.0406 R2: 0.0432 w_avg: [ 0.1801, 0.1985, 0.2146, ..., -0.1366, 0.0658, -0.0054]
INFO:root:[2][1591/2187] Loss_D: 0.3163 Loss_G: 2.1583 R1: 0.0481 R2: 0.0348 w_avg: [ 0.1800, 0.1981, 0.2146, ..., -0.1364, 0.0658, -0.0055]
INFO:root:[2][1592/2187] Loss_D: 0.4287 Loss_G: 2.4460 R1: 0.0484 R2: 0.0399 w_avg: [ 0.1797, 0.1979, 0.2144, ..., -0.1365, 0.0658, -0.0056]
INFO:root:[2][1593/2187] Loss_D: 0.3302 Loss_G: 2.1305 R1: 0.0480 R2: 0.0473 w_avg: [ 0.1798, 0.1977, 0.2144, ..., -0.1367, 0.0658, -0.0054]
INFO:root:[2][1594/2187] Loss_D: 0.3657 Loss_G: 1.9007 R1: 0.0482 R2: 0.0464 w_avg: [ 0.1795, 0.1976, 0.2142, ..., -0.1367, 0.0657, -0.0055]
INFO:root:[2][1595/2187] Loss_D: 0.3639 Loss_G: 2.4435 R1: 0.0436 R2: 0.0554 w_avg: [ 0.1797, 0.1977, 0.2145, ..., -0.1367, 0.0659, -0.0056]
INFO:root:[2][1596/2187] Loss_D: 0.3158 Loss_G: 2.1962 R1: 0.0416 R2: 0.0315 w_avg: [ 0.1798, 0.1979, 0.2146, ..., -0.1367, 0.0659, -0.0057]
INFO:root:[2][1597/2187] Loss_D: 0.3216 Loss_G: 2.3636 R1: 0.0452 R2: 0.0339 w_avg: [ 0.1796, 0.1977, 0.2148, ..., -0.1369, 0.0660, -0.0058]
INFO:root:[2][1598/2187] Loss_D: 0.2234 Loss_G: 2.3499 R1: 0.0349 R2: 0.0440 w_avg: [ 0.1799, 0.1979, 0.2151, ..., -0.1370, 0.0660, -0.0057]
INFO:root:[2][1599/2187] Loss_D: 0.2887 Loss_G: 2.1209 R1: 0.0413 R2: 0.0506 w_avg: [ 0.1797, 0.1979, 0.2149, ..., -0.1371, 0.0663, -0.0057]
INFO:root:[2][1600/2187] Loss_D: 0.2780 Loss_G: 2.7381 R1: 0.0438 R2: 0.0405 w_avg: [ 0.1799, 0.1977, 0.2151, ..., -0.1372, 0.0665, -0.0060]
INFO:root:[2][1601/2187] Loss_D: 0.2041 Loss_G: 2.2792 R1: 0.0338 R2: 0.0458 w_avg: [ 0.1797, 0.1976, 0.2150, ..., -0.1370, 0.0664, -0.0059]
INFO:root:[2][1602/2187] Loss_D: 0.3149 Loss_G: 2.4200 R1: 0.0410 R2: 0.0378 w_avg: [ 0.1796, 0.1975, 0.2151, ..., -0.1371, 0.0668, -0.0061]
INFO:root:[2][1603/2187] Loss_D: 0.3378 Loss_G: 2.6649 R1: 0.0459 R2: 0.0494 w_avg: [ 0.1802, 0.1982, 0.2151, ..., -0.1372, 0.0670, -0.0058]
INFO:root:[2][1604/2187] Loss_D: 0.2810 Loss_G: 2.5145 R1: 0.0369 R2: 0.0337 w_avg: [ 0.1799, 0.1980, 0.2154, ..., -0.1371, 0.0668, -0.0061]
INFO:root:[2][1605/2187] Loss_D: 0.2917 Loss_G: 2.5690 R1: 0.0500 R2: 0.0381 w_avg: [ 0.1799, 0.1983, 0.2153, ..., -0.1371, 0.0665, -0.0062]
INFO:root:[2][1606/2187] Loss_D: 0.2334 Loss_G: 2.2995 R1: 0.0488 R2: 0.0331 w_avg: [ 0.1797, 0.1980, 0.2147, ..., -0.1369, 0.0667, -0.0059]
INFO:root:[2][1607/2187] Loss_D: 0.2746 Loss_G: 2.0397 R1: 0.0330 R2: 0.0333 w_avg: [ 0.1795, 0.1982, 0.2143, ..., -0.1370, 0.0668, -0.0058]
INFO:root:[2][1608/2187] Loss_D: 0.3316 Loss_G: 2.1076 R1: 0.0453 R2: 0.0370 w_avg: [ 0.1799, 0.1987, 0.2143, ..., -0.1370, 0.0667, -0.0060]
INFO:root:[2][1609/2187] Loss_D: 0.3921 Loss_G: 2.2187 R1: 0.0552 R2: 0.0467 w_avg: [ 0.1798, 0.1990, 0.2141, ..., -0.1371, 0.0667, -0.0060]
INFO:root:[2][1610/2187] Loss_D: 0.3962 Loss_G: 2.2593 R1: 0.0454 R2: 0.0362 w_avg: [ 0.1798, 0.1991, 0.2145, ..., -0.1372, 0.0665, -0.0058]
INFO:root:[2][1611/2187] Loss_D: 0.3518 Loss_G: 2.4558 R1: 0.0551 R2: 0.0365 w_avg: [ 0.1798, 0.1993, 0.2139, ..., -0.1373, 0.0668, -0.0061]
INFO:root:[2][1612/2187] Loss_D: 0.2592 Loss_G: 2.6272 R1: 0.0537 R2: 0.0230 w_avg: [ 0.1797, 0.1989, 0.2137, ..., -0.1372, 0.0669, -0.0058]
INFO:root:[2][1613/2187] Loss_D: 0.2373 Loss_G: 2.7261 R1: 0.0434 R2: 0.0441 w_avg: [ 0.1795, 0.1993, 0.2139, ..., -0.1370, 0.0666, -0.0060]
INFO:root:[2][1614/2187] Loss_D: 0.2497 Loss_G: 2.4104 R1: 0.0519 R2: 0.0357 w_avg: [ 0.1795, 0.1991, 0.2135, ..., -0.1370, 0.0666, -0.0060]
INFO:root:[2][1615/2187] Loss_D: 0.2700 Loss_G: 2.1339 R1: 0.0499 R2: 0.0495 w_avg: [ 0.1795, 0.1988, 0.2135, ..., -0.1371, 0.0668, -0.0062]
INFO:root:[2][1616/2187] Loss_D: 0.7242 Loss_G: 2.3229 R1: 0.0417 R2: 0.0634 w_avg: [ 0.1797, 0.1989, 0.2137, ..., -0.1371, 0.0668, -0.0064]
INFO:root:[2][1617/2187] Loss_D: 0.3456 Loss_G: 1.9778 R1: 0.0448 R2: 0.0422 w_avg: [ 0.1797, 0.1988, 0.2141, ..., -0.1369, 0.0669, -0.0060]
INFO:root:[2][1618/2187] Loss_D: 0.3136 Loss_G: 2.6834 R1: 0.0372 R2: 0.0669 w_avg: [ 0.1791, 0.1987, 0.2141, ..., -0.1365, 0.0667, -0.0059]
INFO:root:[2][1619/2187] Loss_D: 0.3759 Loss_G: 2.2797 R1: 0.0466 R2: 0.0428 w_avg: [ 0.1792, 0.1986, 0.2142, ..., -0.1363, 0.0668, -0.0058]
INFO:root:[2][1620/2187] Loss_D: 0.3055 Loss_G: 2.5877 R1: 0.0442 R2: 0.0367 w_avg: [ 0.1791, 0.1989, 0.2141, ..., -0.1363, 0.0672, -0.0059]
INFO:root:[2][1621/2187] Loss_D: 0.3688 Loss_G: 1.9249 R1: 0.0411 R2: 0.0434 w_avg: [ 0.1790, 0.1988, 0.2138, ..., -0.1364, 0.0673, -0.0058]
INFO:root:[2][1622/2187] Loss_D: 0.3415 Loss_G: 2.1156 R1: 0.0476 R2: 0.0374 w_avg: [ 0.1788, 0.1987, 0.2141, ..., -0.1366, 0.0674, -0.0058]
INFO:root:[2][1623/2187] Loss_D: 0.3767 Loss_G: 1.8691 R1: 0.0439 R2: 0.0397 w_avg: [ 0.1789, 0.1987, 0.2143, ..., -0.1366, 0.0673, -0.0057]
INFO:root:[2][1624/2187] Loss_D: 0.2553 Loss_G: 2.5280 R1: 0.0465 R2: 0.0178 w_avg: [ 0.1787, 0.1987, 0.2144, ..., -0.1367, 0.0672, -0.0057]
INFO:root:[2][1625/2187] Loss_D: 0.2519 Loss_G: 1.9697 R1: 0.0469 R2: 0.0336 w_avg: [ 0.1789, 0.1987, 0.2148, ..., -0.1367, 0.0673, -0.0056]
INFO:root:[2][1626/2187] Loss_D: 0.3074 Loss_G: 2.2139 R1: 0.0450 R2: 0.0461 w_avg: [ 0.1792, 0.1991, 0.2149, ..., -0.1366, 0.0671, -0.0055]
INFO:root:[2][1627/2187] Loss_D: 0.4046 Loss_G: 2.1528 R1: 0.0447 R2: 0.0519 w_avg: [ 0.1789, 0.1993, 0.2148, ..., -0.1367, 0.0669, -0.0056]
INFO:root:[2][1628/2187] Loss_D: 0.2338 Loss_G: 1.9731 R1: 0.0453 R2: 0.0309 w_avg: [ 0.1790, 0.1991, 0.2149, ..., -0.1365, 0.0665, -0.0058]
INFO:root:[2][1629/2187] Loss_D: 0.4569 Loss_G: 1.8171 R1: 0.0458 R2: 0.0403 w_avg: [ 0.1789, 0.1992, 0.2150, ..., -0.1367, 0.0664, -0.0055]
INFO:root:[2][1630/2187] Loss_D: 0.2536 Loss_G: 2.4120 R1: 0.0376 R2: 0.0397 w_avg: [ 0.1787, 0.1990, 0.2151, ..., -0.1367, 0.0662, -0.0056]
INFO:root:[2][1631/2187] Loss_D: 0.3915 Loss_G: 2.7488 R1: 0.0529 R2: 0.0395 w_avg: [ 0.1783, 0.1993, 0.2149, ..., -0.1368, 0.0661, -0.0055]
INFO:root:[2][1632/2187] Loss_D: 0.1947 Loss_G: 2.1924 R1: 0.0308 R2: 0.0507 w_avg: [ 0.1785, 0.1992, 0.2148, ..., -0.1368, 0.0659, -0.0052]
INFO:root:[2][1633/2187] Loss_D: 0.3326 Loss_G: 2.5239 R1: 0.0457 R2: 0.0494 w_avg: [ 0.1786, 0.1991, 0.2149, ..., -0.1368, 0.0660, -0.0052]
INFO:root:[2][1634/2187] Loss_D: 0.3213 Loss_G: 2.8123 R1: 0.0426 R2: 0.0351 w_avg: [ 0.1787, 0.1991, 0.2156, ..., -0.1369, 0.0660, -0.0053]
INFO:root:[2][1635/2187] Loss_D: 0.4920 Loss_G: 2.4034 R1: 0.0366 R2: 0.0444 w_avg: [ 0.1791, 0.1991, 0.2157, ..., -0.1369, 0.0660, -0.0053]
INFO:root:[2][1636/2187] Loss_D: 0.3939 Loss_G: 2.2746 R1: 0.0471 R2: 0.0388 w_avg: [ 0.1792, 0.1990, 0.2157, ..., -0.1368, 0.0657, -0.0055]
INFO:root:[2][1637/2187] Loss_D: 0.2734 Loss_G: 1.8930 R1: 0.0350 R2: 0.0373 w_avg: [ 0.1788, 0.1987, 0.2154, ..., -0.1369, 0.0658, -0.0055]
INFO:root:[2][1638/2187] Loss_D: 0.6471 Loss_G: 2.1668 R1: 0.0451 R2: 0.0595 w_avg: [ 0.1792, 0.1986, 0.2154, ..., -0.1369, 0.0659, -0.0055]
INFO:root:[2][1639/2187] Loss_D: 0.3047 Loss_G: 1.9068 R1: 0.0315 R2: 0.0365 w_avg: [ 0.1793, 0.1986, 0.2153, ..., -0.1369, 0.0658, -0.0057]
INFO:root:[2][1640/2187] Loss_D: 0.3256 Loss_G: 1.8734 R1: 0.0471 R2: 0.0324 w_avg: [ 0.1794, 0.1987, 0.2154, ..., -0.1370, 0.0657, -0.0059]
INFO:root:[2][1641/2187] Loss_D: 0.3056 Loss_G: 2.3264 R1: 0.0326 R2: 0.0364 w_avg: [ 0.1792, 0.1990, 0.2153, ..., -0.1371, 0.0653, -0.0059]
INFO:root:[2][1642/2187] Loss_D: 0.3272 Loss_G: 2.6431 R1: 0.0377 R2: 0.0407 w_avg: [ 0.1790, 0.1990, 0.2151, ..., -0.1370, 0.0652, -0.0058]
INFO:root:[2][1643/2187] Loss_D: 0.3133 Loss_G: 3.3677 R1: 0.0346 R2: 0.0428 w_avg: [ 0.1790, 0.1988, 0.2149, ..., -0.1371, 0.0652, -0.0060]
INFO:root:[2][1644/2187] Loss_D: 0.2543 Loss_G: 2.8726 R1: 0.0463 R2: 0.0398 w_avg: [ 0.1788, 0.1986, 0.2144, ..., -0.1373, 0.0650, -0.0057]
INFO:root:[2][1645/2187] Loss_D: 0.2916 Loss_G: 2.2971 R1: 0.0426 R2: 0.0522 w_avg: [ 0.1791, 0.1989, 0.2144, ..., -0.1374, 0.0648, -0.0058]
INFO:root:[2][1646/2187] Loss_D: 0.2931 Loss_G: 2.1194 R1: 0.0395 R2: 0.0446 w_avg: [ 0.1792, 0.1989, 0.2144, ..., -0.1375, 0.0645, -0.0058]
INFO:root:[2][1647/2187] Loss_D: 0.2695 Loss_G: 2.1626 R1: 0.0437 R2: 0.0423 w_avg: [ 0.1789, 0.1987, 0.2140, ..., -0.1375, 0.0644, -0.0055]
INFO:root:[2][1648/2187] Loss_D: 0.3356 Loss_G: 2.6322 R1: 0.0474 R2: 0.0427 w_avg: [ 0.1789, 0.1987, 0.2140, ..., -0.1375, 0.0642, -0.0053]
INFO:root:[2][1649/2187] Loss_D: 0.3092 Loss_G: 2.4540 R1: 0.0298 R2: 0.0526 w_avg: [ 0.1789, 0.1992, 0.2140, ..., -0.1376, 0.0642, -0.0054]
INFO:root:[2][1650/2187] Loss_D: 0.2285 Loss_G: 2.5732 R1: 0.0338 R2: 0.0458 w_avg: [ 0.1795, 0.1990, 0.2143, ..., -0.1374, 0.0643, -0.0055]
INFO:root:[2][1651/2187] Loss_D: 0.2641 Loss_G: 2.2023 R1: 0.0424 R2: 0.0497 w_avg: [ 0.1799, 0.1990, 0.2144, ..., -0.1374, 0.0645, -0.0054]
INFO:root:[2][1652/2187] Loss_D: 0.3197 Loss_G: 2.9056 R1: 0.0548 R2: 0.0451 w_avg: [ 0.1799, 0.1987, 0.2140, ..., -0.1373, 0.0648, -0.0055]
INFO:root:[2][1653/2187] Loss_D: 0.3455 Loss_G: 3.7289 R1: 0.0416 R2: 0.0419 w_avg: [ 0.1801, 0.1988, 0.2141, ..., -0.1373, 0.0651, -0.0056]
INFO:root:[2][1654/2187] Loss_D: 0.4291 Loss_G: 2.8815 R1: 0.0482 R2: 0.0434 w_avg: [ 0.1804, 0.1993, 0.2142, ..., -0.1375, 0.0654, -0.0055]
INFO:root:[2][1655/2187] Loss_D: 0.2271 Loss_G: 2.5052 R1: 0.0485 R2: 0.0341 w_avg: [ 0.1802, 0.1993, 0.2139, ..., -0.1376, 0.0656, -0.0055]
INFO:root:[2][1656/2187] Loss_D: 0.2640 Loss_G: 2.1460 R1: 0.0449 R2: 0.0489 w_avg: [ 0.1798, 0.1991, 0.2137, ..., -0.1374, 0.0653, -0.0057]
INFO:root:[2][1657/2187] Loss_D: 0.2904 Loss_G: 1.9831 R1: 0.0459 R2: 0.0376 w_avg: [ 0.1798, 0.1994, 0.2138, ..., -0.1372, 0.0653, -0.0059]
INFO:root:[2][1658/2187] Loss_D: 0.3358 Loss_G: 2.3588 R1: 0.0477 R2: 0.0603 w_avg: [ 0.1802, 0.1994, 0.2141, ..., -0.1373, 0.0651, -0.0059]
INFO:root:[2][1659/2187] Loss_D: 0.3135 Loss_G: 1.7796 R1: 0.0492 R2: 0.0369 w_avg: [ 0.1800, 0.1992, 0.2140, ..., -0.1372, 0.0649, -0.0058]
INFO:root:[2][1660/2187] Loss_D: 0.3249 Loss_G: 2.6140 R1: 0.0582 R2: 0.0327 w_avg: [ 0.1801, 0.1995, 0.2136, ..., -0.1372, 0.0651, -0.0059]
INFO:root:[2][1661/2187] Loss_D: 0.2875 Loss_G: 2.5263 R1: 0.0560 R2: 0.0287 w_avg: [ 0.1803, 0.1998, 0.2133, ..., -0.1373, 0.0653, -0.0061]
INFO:root:[2][1662/2187] Loss_D: 0.3571 Loss_G: 2.0877 R1: 0.0629 R2: 0.0439 w_avg: [ 0.1802, 0.1995, 0.2131, ..., -0.1373, 0.0655, -0.0060]
INFO:root:[2][1663/2187] Loss_D: 0.3973 Loss_G: 2.3655 R1: 0.0457 R2: 0.0568 w_avg: [ 0.1803, 0.1992, 0.2135, ..., -0.1373, 0.0660, -0.0063]
INFO:root:[2][1664/2187] Loss_D: 0.3333 Loss_G: 1.9844 R1: 0.0539 R2: 0.0702 w_avg: [ 0.1799, 0.1993, 0.2136, ..., -0.1374, 0.0656, -0.0063]
INFO:root:[2][1665/2187] Loss_D: 0.3579 Loss_G: 2.1161 R1: 0.0489 R2: 0.0550 w_avg: [ 0.1802, 0.1997, 0.2136, ..., -0.1375, 0.0657, -0.0065]
INFO:root:[2][1666/2187] Loss_D: 0.3366 Loss_G: 1.8570 R1: 0.0533 R2: 0.0447 w_avg: [ 0.1800, 0.1994, 0.2135, ..., -0.1374, 0.0659, -0.0066]
INFO:root:[2][1667/2187] Loss_D: 0.2416 Loss_G: 2.3862 R1: 0.0437 R2: 0.0407 w_avg: [ 0.1797, 0.1994, 0.2136, ..., -0.1373, 0.0661, -0.0066]
INFO:root:[2][1668/2187] Loss_D: 0.2567 Loss_G: 2.2193 R1: 0.0520 R2: 0.0333 w_avg: [ 0.1797, 0.1991, 0.2136, ..., -0.1372, 0.0659, -0.0065]
INFO:root:[2][1669/2187] Loss_D: 0.2969 Loss_G: 2.3377 R1: 0.0442 R2: 0.0473 w_avg: [ 0.1801, 0.1992, 0.2133, ..., -0.1373, 0.0658, -0.0063]
INFO:root:[2][1670/2187] Loss_D: 0.2057 Loss_G: 2.5532 R1: 0.0424 R2: 0.0462 w_avg: [ 0.1800, 0.1992, 0.2135, ..., -0.1373, 0.0658, -0.0063]
INFO:root:[2][1671/2187] Loss_D: 0.2659 Loss_G: 2.8839 R1: 0.0486 R2: 0.0474 w_avg: [ 0.1795, 0.1996, 0.2133, ..., -0.1373, 0.0654, -0.0063]
INFO:root:[2][1672/2187] Loss_D: 0.2639 Loss_G: 2.5961 R1: 0.0400 R2: 0.0444 w_avg: [ 0.1793, 0.1992, 0.2133, ..., -0.1374, 0.0657, -0.0062]
INFO:root:[2][1673/2187] Loss_D: 0.2289 Loss_G: 2.5836 R1: 0.0567 R2: 0.0392 w_avg: [ 0.1794, 0.1992, 0.2130, ..., -0.1373, 0.0656, -0.0061]
INFO:root:[2][1674/2187] Loss_D: 0.3115 Loss_G: 2.0618 R1: 0.0511 R2: 0.0492 w_avg: [ 0.1795, 0.1992, 0.2129, ..., -0.1374, 0.0657, -0.0058]
INFO:root:[2][1675/2187] Loss_D: 0.3042 Loss_G: 2.1766 R1: 0.0426 R2: 0.0502 w_avg: [ 0.1793, 0.1993, 0.2124, ..., -0.1374, 0.0656, -0.0056]
INFO:root:[2][1676/2187] Loss_D: 0.3175 Loss_G: 2.3991 R1: 0.0455 R2: 0.0482 w_avg: [ 0.1792, 0.1992, 0.2126, ..., -0.1372, 0.0656, -0.0053]
INFO:root:[2][1677/2187] Loss_D: 0.2406 Loss_G: 2.5600 R1: 0.0468 R2: 0.0386 w_avg: [ 0.1790, 0.1998, 0.2125, ..., -0.1372, 0.0653, -0.0053]
INFO:root:[2][1678/2187] Loss_D: 0.3669 Loss_G: 2.1715 R1: 0.0475 R2: 0.0476 w_avg: [ 0.1789, 0.1995, 0.2125, ..., -0.1372, 0.0654, -0.0054]
INFO:root:[2][1679/2187] Loss_D: 0.2142 Loss_G: 2.3971 R1: 0.0527 R2: 0.0338 w_avg: [ 0.1794, 0.1993, 0.2126, ..., -0.1373, 0.0655, -0.0057]
INFO:root:[2][1680/2187] Loss_D: 0.2601 Loss_G: 2.6761 R1: 0.0433 R2: 0.0420 w_avg: [ 0.1795, 0.1991, 0.2126, ..., -0.1373, 0.0655, -0.0058]
INFO:root:[2][1681/2187] Loss_D: 0.3774 Loss_G: 3.0528 R1: 0.0496 R2: 0.0397 w_avg: [ 0.1795, 0.1995, 0.2128, ..., -0.1372, 0.0653, -0.0057]
INFO:root:[2][1682/2187] Loss_D: 0.2149 Loss_G: 2.9550 R1: 0.0313 R2: 0.0712 w_avg: [ 0.1797, 0.1996, 0.2123, ..., -0.1372, 0.0655, -0.0058]
INFO:root:[2][1683/2187] Loss_D: 0.2276 Loss_G: 2.8630 R1: 0.0527 R2: 0.0451 w_avg: [ 0.1803, 0.1997, 0.2120, ..., -0.1372, 0.0651, -0.0061]
INFO:root:[2][1684/2187] Loss_D: 0.2909 Loss_G: 2.5265 R1: 0.0444 R2: 0.0531 w_avg: [ 0.1801, 0.1994, 0.2123, ..., -0.1368, 0.0652, -0.0061]
INFO:root:[2][1685/2187] Loss_D: 0.2855 Loss_G: 2.8671 R1: 0.0350 R2: 0.0608 w_avg: [ 0.1806, 0.1993, 0.2125, ..., -0.1368, 0.0659, -0.0063]
INFO:root:[2][1686/2187] Loss_D: 0.2597 Loss_G: 2.3093 R1: 0.0401 R2: 0.0663 w_avg: [ 0.1803, 0.1992, 0.2123, ..., -0.1368, 0.0658, -0.0063]
INFO:root:[2][1687/2187] Loss_D: 0.5838 Loss_G: 1.9241 R1: 0.0355 R2: 0.0501 w_avg: [ 0.1801, 0.1991, 0.2125, ..., -0.1368, 0.0657, -0.0062]
INFO:root:[2][1688/2187] Loss_D: 0.5118 Loss_G: 1.9339 R1: 0.0315 R2: 0.0457 w_avg: [ 0.1802, 0.1989, 0.2125, ..., -0.1368, 0.0656, -0.0055]
INFO:root:[2][1689/2187] Loss_D: 0.4638 Loss_G: 2.9174 R1: 0.0283 R2: 0.0576 w_avg: [ 0.1799, 0.1989, 0.2125, ..., -0.1370, 0.0656, -0.0057]
INFO:root:[2][1690/2187] Loss_D: 0.3436 Loss_G: 2.5766 R1: 0.0353 R2: 0.0393 w_avg: [ 0.1802, 0.1989, 0.2121, ..., -0.1369, 0.0653, -0.0057]
INFO:root:[2][1691/2187] Loss_D: 0.4079 Loss_G: 2.3742 R1: 0.0459 R2: 0.0427 w_avg: [ 0.1803, 0.1990, 0.2129, ..., -0.1370, 0.0654, -0.0059]
INFO:root:[2][1692/2187] Loss_D: 0.3380 Loss_G: 2.2750 R1: 0.0439 R2: 0.0217 w_avg: [ 0.1807, 0.1989, 0.2129, ..., -0.1371, 0.0655, -0.0062]
INFO:root:[2][1693/2187] Loss_D: 0.2623 Loss_G: 2.4592 R1: 0.0393 R2: 0.0286 w_avg: [ 0.1806, 0.1987, 0.2130, ..., -0.1372, 0.0658, -0.0060]
INFO:root:[2][1694/2187] Loss_D: 0.2758 Loss_G: 2.1729 R1: 0.0416 R2: 0.0324 w_avg: [ 0.1809, 0.1990, 0.2129, ..., -0.1373, 0.0655, -0.0058]
INFO:root:[2][1695/2187] Loss_D: 0.2295 Loss_G: 2.6293 R1: 0.0374 R2: 0.0322 w_avg: [ 0.1806, 0.1989, 0.2127, ..., -0.1371, 0.0655, -0.0060]
INFO:root:[2][1696/2187] Loss_D: 0.2525 Loss_G: 2.4205 R1: 0.0447 R2: 0.0335 w_avg: [ 0.1807, 0.1994, 0.2129, ..., -0.1372, 0.0654, -0.0059]
INFO:root:[2][1697/2187] Loss_D: 0.3109 Loss_G: 3.1675 R1: 0.0347 R2: 0.0485 w_avg: [ 0.1809, 0.1997, 0.2133, ..., -0.1372, 0.0653, -0.0059]
INFO:root:[2][1698/2187] Loss_D: 0.1689 Loss_G: 2.7586 R1: 0.0362 R2: 0.0346 w_avg: [ 0.1810, 0.1996, 0.2133, ..., -0.1371, 0.0654, -0.0061]
INFO:root:[2][1699/2187] Loss_D: 0.3129 Loss_G: 2.4580 R1: 0.0358 R2: 0.0376 w_avg: [ 0.1815, 0.1993, 0.2134, ..., -0.1373, 0.0656, -0.0061]
INFO:root:[2][1700/2187] Loss_D: 0.1958 Loss_G: 2.0514 R1: 0.0323 R2: 0.0429 w_avg: [ 0.1814, 0.1990, 0.2131, ..., -0.1372, 0.0653, -0.0060]
INFO:root:[2][1701/2187] Loss_D: 0.2846 Loss_G: 3.1221 R1: 0.0448 R2: 0.0275 w_avg: [ 0.1818, 0.1991, 0.2130, ..., -0.1374, 0.0650, -0.0060]
INFO:root:[2][1702/2187] Loss_D: 0.2717 Loss_G: 2.9568 R1: 0.0433 R2: 0.0294 w_avg: [ 0.1817, 0.1989, 0.2135, ..., -0.1370, 0.0649, -0.0054]
INFO:root:[2][1703/2187] Loss_D: 0.4929 Loss_G: 2.3970 R1: 0.0551 R2: 0.0355 w_avg: [ 0.1820, 0.1986, 0.2132, ..., -0.1371, 0.0648, -0.0055]
INFO:root:[2][1704/2187] Loss_D: 0.4170 Loss_G: 2.5796 R1: 0.0424 R2: 0.0439 w_avg: [ 0.1817, 0.1986, 0.2131, ..., -0.1370, 0.0648, -0.0055]
INFO:root:[2][1705/2187] Loss_D: 0.5134 Loss_G: 2.0550 R1: 0.0510 R2: 0.0582 w_avg: [ 0.1819, 0.1985, 0.2133, ..., -0.1371, 0.0652, -0.0057]
INFO:root:[2][1706/2187] Loss_D: 0.5701 Loss_G: 2.2398 R1: 0.0434 R2: 0.0525 w_avg: [ 0.1819, 0.1983, 0.2133, ..., -0.1371, 0.0651, -0.0054]
INFO:root:[2][1707/2187] Loss_D: 0.2467 Loss_G: 2.9263 R1: 0.0483 R2: 0.0249 w_avg: [ 0.1824, 0.1985, 0.2136, ..., -0.1371, 0.0650, -0.0054]
INFO:root:[2][1708/2187] Loss_D: 0.2382 Loss_G: 2.2039 R1: 0.0395 R2: 0.0374 w_avg: [ 0.1823, 0.1986, 0.2137, ..., -0.1371, 0.0650, -0.0056]
INFO:root:[2][1709/2187] Loss_D: 0.4457 Loss_G: 2.3524 R1: 0.0374 R2: 0.0485 w_avg: [ 0.1825, 0.1985, 0.2139, ..., -0.1370, 0.0650, -0.0056]
INFO:root:[2][1710/2187] Loss_D: 0.4273 Loss_G: 2.5227 R1: 0.0423 R2: 0.0444 w_avg: [ 0.1828, 0.1983, 0.2141, ..., -0.1372, 0.0649, -0.0059]
INFO:root:[2][1711/2187] Loss_D: 0.2347 Loss_G: 2.4535 R1: 0.0394 R2: 0.0291 w_avg: [ 0.1826, 0.1980, 0.2140, ..., -0.1371, 0.0648, -0.0059]
INFO:root:[2][1712/2187] Loss_D: 0.3756 Loss_G: 2.6066 R1: 0.0475 R2: 0.0434 w_avg: [ 0.1824, 0.1978, 0.2141, ..., -0.1372, 0.0648, -0.0059]
INFO:root:[2][1713/2187] Loss_D: 0.3563 Loss_G: 3.0692 R1: 0.0457 R2: 0.0544 w_avg: [ 0.1826, 0.1977, 0.2144, ..., -0.1372, 0.0651, -0.0062]
INFO:root:[2][1714/2187] Loss_D: 0.3649 Loss_G: 3.2300 R1: 0.0454 R2: 0.0365 w_avg: [ 0.1831, 0.1978, 0.2148, ..., -0.1373, 0.0655, -0.0059]
INFO:root:[2][1715/2187] Loss_D: 0.2548 Loss_G: 2.7038 R1: 0.0439 R2: 0.0389 w_avg: [ 0.1828, 0.1978, 0.2151, ..., -0.1372, 0.0655, -0.0059]
INFO:root:[2][1716/2187] Loss_D: 0.2570 Loss_G: 2.4759 R1: 0.0521 R2: 0.0369 w_avg: [ 0.1832, 0.1980, 0.2152, ..., -0.1370, 0.0656, -0.0056]
INFO:root:[2][1717/2187] Loss_D: 0.7707 Loss_G: 2.4626 R1: 0.0611 R2: 0.0494 w_avg: [ 0.1832, 0.1978, 0.2155, ..., -0.1368, 0.0656, -0.0059]
INFO:root:[2][1718/2187] Loss_D: 0.2697 Loss_G: 2.7364 R1: 0.0341 R2: 0.0418 w_avg: [ 0.1830, 0.1975, 0.2152, ..., -0.1368, 0.0657, -0.0060]
INFO:root:[2][1719/2187] Loss_D: 0.3570 Loss_G: 1.7470 R1: 0.0327 R2: 0.0307 w_avg: [ 0.1827, 0.1969, 0.2153, ..., -0.1367, 0.0658, -0.0064]
INFO:root:[2][1720/2187] Loss_D: 0.4275 Loss_G: 2.4269 R1: 0.0334 R2: 0.0384 w_avg: [ 0.1828, 0.1967, 0.2153, ..., -0.1367, 0.0660, -0.0065]
INFO:root:[2][1721/2187] Loss_D: 0.2593 Loss_G: 2.3595 R1: 0.0300 R2: 0.0333 w_avg: [ 0.1832, 0.1968, 0.2155, ..., -0.1368, 0.0663, -0.0063]
INFO:root:[2][1722/2187] Loss_D: 0.2161 Loss_G: 2.3450 R1: 0.0395 R2: 0.0476 w_avg: [ 0.1831, 0.1970, 0.2153, ..., -0.1369, 0.0664, -0.0064]
INFO:root:[2][1723/2187] Loss_D: 0.2340 Loss_G: 2.6598 R1: 0.0381 R2: 0.0333 w_avg: [ 0.1827, 0.1968, 0.2150, ..., -0.1370, 0.0666, -0.0061]
INFO:root:[2][1724/2187] Loss_D: 0.2733 Loss_G: 1.9580 R1: 0.0379 R2: 0.0375 w_avg: [ 0.1828, 0.1967, 0.2150, ..., -0.1371, 0.0665, -0.0064]
INFO:root:[2][1725/2187] Loss_D: 0.4815 Loss_G: 2.1806 R1: 0.0388 R2: 0.0577 w_avg: [ 0.1827, 0.1966, 0.2147, ..., -0.1372, 0.0666, -0.0064]
INFO:root:[2][1726/2187] Loss_D: 0.3883 Loss_G: 2.3639 R1: 0.0391 R2: 0.0252 w_avg: [ 0.1824, 0.1966, 0.2145, ..., -0.1370, 0.0666, -0.0064]
INFO:root:[2][1727/2187] Loss_D: 0.3220 Loss_G: 1.9085 R1: 0.0520 R2: 0.0487 w_avg: [ 0.1822, 0.1964, 0.2145, ..., -0.1367, 0.0667, -0.0065]
INFO:root:[2][1728/2187] Loss_D: 0.2601 Loss_G: 2.0681 R1: 0.0487 R2: 0.0376 w_avg: [ 0.1820, 0.1961, 0.2144, ..., -0.1367, 0.0664, -0.0067]
INFO:root:[2][1729/2187] Loss_D: 0.2864 Loss_G: 1.9512 R1: 0.0451 R2: 0.0323 w_avg: [ 0.1814, 0.1959, 0.2144, ..., -0.1367, 0.0661, -0.0068]
INFO:root:[2][1730/2187] Loss_D: 0.3003 Loss_G: 2.2343 R1: 0.0363 R2: 0.0400 w_avg: [ 0.1814, 0.1962, 0.2140, ..., -0.1366, 0.0661, -0.0063]
INFO:root:[2][1731/2187] Loss_D: 0.5592 Loss_G: 1.6412 R1: 0.0468 R2: 0.0578 w_avg: [ 0.1814, 0.1961, 0.2137, ..., -0.1364, 0.0662, -0.0063]
INFO:root:[2][1732/2187] Loss_D: 0.4424 Loss_G: 2.2084 R1: 0.0604 R2: 0.0166 w_avg: [ 0.1815, 0.1959, 0.2139, ..., -0.1364, 0.0659, -0.0063]
INFO:root:[2][1733/2187] Loss_D: 0.2901 Loss_G: 1.8876 R1: 0.0463 R2: 0.0361 w_avg: [ 0.1814, 0.1956, 0.2139, ..., -0.1365, 0.0658, -0.0063]
INFO:root:[2][1734/2187] Loss_D: 0.3737 Loss_G: 2.3602 R1: 0.0467 R2: 0.0441 w_avg: [ 0.1818, 0.1959, 0.2139, ..., -0.1365, 0.0655, -0.0064]
INFO:root:[2][1735/2187] Loss_D: 0.3165 Loss_G: 2.5245 R1: 0.0346 R2: 0.0502 w_avg: [ 0.1821, 0.1959, 0.2136, ..., -0.1367, 0.0661, -0.0063]
INFO:root:[2][1736/2187] Loss_D: 0.3840 Loss_G: 1.9059 R1: 0.0469 R2: 0.0349 w_avg: [ 0.1821, 0.1957, 0.2137, ..., -0.1367, 0.0662, -0.0062]
INFO:root:[2][1737/2187] Loss_D: 0.2983 Loss_G: 2.1018 R1: 0.0355 R2: 0.0399 w_avg: [ 0.1822, 0.1956, 0.2138, ..., -0.1366, 0.0667, -0.0063]
INFO:root:[2][1738/2187] Loss_D: 0.3504 Loss_G: 2.0753 R1: 0.0269 R2: 0.0621 w_avg: [ 0.1822, 0.1956, 0.2140, ..., -0.1365, 0.0664, -0.0063]
INFO:root:[2][1739/2187] Loss_D: 0.4203 Loss_G: 2.4793 R1: 0.0387 R2: 0.0495 w_avg: [ 0.1822, 0.1956, 0.2139, ..., -0.1366, 0.0667, -0.0062]
INFO:root:[2][1740/2187] Loss_D: 0.3058 Loss_G: 2.1201 R1: 0.0376 R2: 0.0496 w_avg: [ 0.1822, 0.1956, 0.2137, ..., -0.1367, 0.0667, -0.0063]
INFO:root:[2][1741/2187] Loss_D: 0.2847 Loss_G: 2.5343 R1: 0.0471 R2: 0.0440 w_avg: [ 0.1823, 0.1957, 0.2140, ..., -0.1365, 0.0668, -0.0064]
INFO:root:[2][1742/2187] Loss_D: 0.3095 Loss_G: 2.3718 R1: 0.0415 R2: 0.0430 w_avg: [ 0.1823, 0.1955, 0.2142, ..., -0.1364, 0.0667, -0.0064]
INFO:root:[2][1743/2187] Loss_D: 0.3628 Loss_G: 1.9762 R1: 0.0558 R2: 0.0459 w_avg: [ 0.1822, 0.1953, 0.2140, ..., -0.1363, 0.0672, -0.0063]
INFO:root:[2][1744/2187] Loss_D: 0.2640 Loss_G: 2.2563 R1: 0.0479 R2: 0.0300 w_avg: [ 0.1823, 0.1951, 0.2142, ..., -0.1362, 0.0678, -0.0065]
INFO:root:[2][1745/2187] Loss_D: 0.6329 Loss_G: 2.0168 R1: 0.0429 R2: 0.0548 w_avg: [ 0.1827, 0.1948, 0.2141, ..., -0.1362, 0.0680, -0.0065]
INFO:root:[2][1746/2187] Loss_D: 0.2791 Loss_G: 2.1077 R1: 0.0367 R2: 0.0160 w_avg: [ 0.1829, 0.1949, 0.2139, ..., -0.1360, 0.0680, -0.0065]
INFO:root:[2][1747/2187] Loss_D: 0.3128 Loss_G: 2.1602 R1: 0.0445 R2: 0.0332 w_avg: [ 0.1829, 0.1946, 0.2138, ..., -0.1362, 0.0683, -0.0066]
INFO:root:[2][1748/2187] Loss_D: 0.2985 Loss_G: 2.0531 R1: 0.0434 R2: 0.0302 w_avg: [ 0.1828, 0.1945, 0.2135, ..., -0.1363, 0.0683, -0.0067]
INFO:root:[2][1749/2187] Loss_D: 0.2387 Loss_G: 2.3542 R1: 0.0391 R2: 0.0264 w_avg: [ 0.1827, 0.1945, 0.2136, ..., -0.1363, 0.0683, -0.0069]
INFO:root:[2][1750/2187] Loss_D: 0.3565 Loss_G: 2.1348 R1: 0.0413 R2: 0.0438 w_avg: [ 0.1825, 0.1947, 0.2140, ..., -0.1363, 0.0683, -0.0070]
INFO:root:[2][1751/2187] Loss_D: 0.4208 Loss_G: 2.4834 R1: 0.0353 R2: 0.0375 w_avg: [ 0.1824, 0.1946, 0.2137, ..., -0.1364, 0.0682, -0.0069]
INFO:root:[2][1752/2187] Loss_D: 0.2389 Loss_G: 2.3452 R1: 0.0302 R2: 0.0412 w_avg: [ 0.1825, 0.1944, 0.2134, ..., -0.1366, 0.0681, -0.0068]
INFO:root:[2][1753/2187] Loss_D: 0.6035 Loss_G: 2.0818 R1: 0.0374 R2: 0.0552 w_avg: [ 0.1825, 0.1947, 0.2133, ..., -0.1365, 0.0684, -0.0071]
INFO:root:[2][1754/2187] Loss_D: 0.2763 Loss_G: 2.0569 R1: 0.0460 R2: 0.0312 w_avg: [ 0.1824, 0.1946, 0.2133, ..., -0.1366, 0.0684, -0.0072]
INFO:root:[2][1755/2187] Loss_D: 0.2989 Loss_G: 1.9721 R1: 0.0366 R2: 0.0331 w_avg: [ 0.1821, 0.1942, 0.2131, ..., -0.1366, 0.0683, -0.0071]
INFO:root:[2][1756/2187] Loss_D: 0.2579 Loss_G: 2.5052 R1: 0.0395 R2: 0.0258 w_avg: [ 0.1819, 0.1944, 0.2131, ..., -0.1363, 0.0681, -0.0071]
INFO:root:[2][1757/2187] Loss_D: 0.3127 Loss_G: 2.2235 R1: 0.0407 R2: 0.0319 w_avg: [ 0.1821, 0.1942, 0.2130, ..., -0.1363, 0.0682, -0.0073]
INFO:root:[2][1758/2187] Loss_D: 0.3916 Loss_G: 2.3705 R1: 0.0373 R2: 0.0417 w_avg: [ 0.1821, 0.1939, 0.2129, ..., -0.1364, 0.0683, -0.0074]
INFO:root:[2][1759/2187] Loss_D: 0.1760 Loss_G: 2.3060 R1: 0.0413 R2: 0.0267 w_avg: [ 0.1819, 0.1943, 0.2130, ..., -0.1365, 0.0685, -0.0075]
INFO:root:[2][1760/2187] Loss_D: 0.5005 Loss_G: 3.0260 R1: 0.0444 R2: 0.0398 w_avg: [ 0.1821, 0.1940, 0.2127, ..., -0.1364, 0.0688, -0.0071]
INFO:root:[2][1761/2187] Loss_D: 0.3004 Loss_G: 2.0853 R1: 0.0398 R2: 0.0423 w_avg: [ 0.1822, 0.1941, 0.2132, ..., -0.1365, 0.0691, -0.0073]
INFO:root:[2][1762/2187] Loss_D: 0.3008 Loss_G: 1.9655 R1: 0.0373 R2: 0.0401 w_avg: [ 0.1823, 0.1940, 0.2131, ..., -0.1362, 0.0691, -0.0071]
INFO:root:[2][1763/2187] Loss_D: 0.5287 Loss_G: 2.6145 R1: 0.0423 R2: 0.0579 w_avg: [ 0.1821, 0.1939, 0.2132, ..., -0.1362, 0.0692, -0.0068]
INFO:root:[2][1764/2187] Loss_D: 0.3192 Loss_G: 2.3736 R1: 0.0526 R2: 0.0299 w_avg: [ 0.1821, 0.1938, 0.2135, ..., -0.1361, 0.0691, -0.0069]
INFO:root:[2][1765/2187] Loss_D: 0.3340 Loss_G: 2.4399 R1: 0.0467 R2: 0.0394 w_avg: [ 0.1820, 0.1939, 0.2134, ..., -0.1360, 0.0690, -0.0068]
INFO:root:[2][1766/2187] Loss_D: 0.4848 Loss_G: 2.9655 R1: 0.0422 R2: 0.0662 w_avg: [ 0.1823, 0.1936, 0.2131, ..., -0.1362, 0.0690, -0.0070]
INFO:root:[2][1767/2187] Loss_D: 0.4583 Loss_G: 2.5991 R1: 0.0450 R2: 0.0241 w_avg: [ 0.1825, 0.1935, 0.2133, ..., -0.1363, 0.0691, -0.0068]
INFO:root:[2][1768/2187] Loss_D: 0.2509 Loss_G: 2.4106 R1: 0.0416 R2: 0.0331 w_avg: [ 0.1827, 0.1934, 0.2135, ..., -0.1364, 0.0686, -0.0067]
INFO:root:[2][1769/2187] Loss_D: 0.2556 Loss_G: 2.2503 R1: 0.0416 R2: 0.0435 w_avg: [ 0.1824, 0.1934, 0.2135, ..., -0.1364, 0.0684, -0.0067]
INFO:root:[2][1770/2187] Loss_D: 0.2530 Loss_G: 2.2637 R1: 0.0400 R2: 0.0432 w_avg: [ 0.1824, 0.1935, 0.2133, ..., -0.1363, 0.0686, -0.0063]
INFO:root:[2][1771/2187] Loss_D: 0.3282 Loss_G: 1.6416 R1: 0.0404 R2: 0.0587 w_avg: [ 0.1827, 0.1938, 0.2133, ..., -0.1361, 0.0684, -0.0065]
INFO:root:[2][1772/2187] Loss_D: 0.4375 Loss_G: 2.3243 R1: 0.0473 R2: 0.0234 w_avg: [ 0.1832, 0.1940, 0.2134, ..., -0.1362, 0.0682, -0.0067]
INFO:root:[2][1773/2187] Loss_D: 0.2433 Loss_G: 1.9524 R1: 0.0455 R2: 0.0380 w_avg: [ 0.1832, 0.1937, 0.2137, ..., -0.1361, 0.0680, -0.0070]
INFO:root:[2][1774/2187] Loss_D: 0.2596 Loss_G: 2.3679 R1: 0.0470 R2: 0.0356 w_avg: [ 0.1828, 0.1934, 0.2139, ..., -0.1362, 0.0682, -0.0071]
INFO:root:[2][1775/2187] Loss_D: 0.3823 Loss_G: 2.0218 R1: 0.0396 R2: 0.0489 w_avg: [ 0.1826, 0.1932, 0.2138, ..., -0.1363, 0.0681, -0.0070]
INFO:root:[2][1776/2187] Loss_D: 0.3447 Loss_G: 2.0056 R1: 0.0518 R2: 0.0485 w_avg: [ 0.1824, 0.1931, 0.2135, ..., -0.1364, 0.0681, -0.0071]
INFO:root:[2][1777/2187] Loss_D: 0.3225 Loss_G: 2.2453 R1: 0.0490 R2: 0.0322 w_avg: [ 0.1822, 0.1930, 0.2131, ..., -0.1364, 0.0679, -0.0067]
INFO:root:[2][1778/2187] Loss_D: 0.4585 Loss_G: 2.2639 R1: 0.0455 R2: 0.0452 w_avg: [ 0.1822, 0.1928, 0.2133, ..., -0.1363, 0.0678, -0.0069]
INFO:root:[2][1779/2187] Loss_D: 0.2958 Loss_G: 2.3725 R1: 0.0419 R2: 0.0438 w_avg: [ 0.1816, 0.1926, 0.2135, ..., -0.1364, 0.0676, -0.0069]
INFO:root:[2][1780/2187] Loss_D: 0.2311 Loss_G: 2.2657 R1: 0.0459 R2: 0.0241 w_avg: [ 0.1815, 0.1931, 0.2134, ..., -0.1365, 0.0675, -0.0071]
INFO:root:[2][1781/2187] Loss_D: 0.4051 Loss_G: 2.2526 R1: 0.0506 R2: 0.0377 w_avg: [ 0.1813, 0.1929, 0.2136, ..., -0.1365, 0.0671, -0.0072]
INFO:root:[2][1782/2187] Loss_D: 0.2507 Loss_G: 2.6867 R1: 0.0416 R2: 0.0455 w_avg: [ 0.1814, 0.1928, 0.2133, ..., -0.1365, 0.0672, -0.0073]
INFO:root:[2][1783/2187] Loss_D: 0.4577 Loss_G: 1.8219 R1: 0.0467 R2: 0.0602 w_avg: [ 0.1813, 0.1927, 0.2136, ..., -0.1365, 0.0670, -0.0073]
INFO:root:[2][1784/2187] Loss_D: 0.2551 Loss_G: 2.0378 R1: 0.0526 R2: 0.0378 w_avg: [ 0.1810, 0.1926, 0.2136, ..., -0.1365, 0.0669, -0.0073]
INFO:root:[2][1785/2187] Loss_D: 0.3663 Loss_G: 1.7211 R1: 0.0428 R2: 0.0563 w_avg: [ 0.1808, 0.1925, 0.2136, ..., -0.1365, 0.0668, -0.0074]
INFO:root:[2][1786/2187] Loss_D: 0.4515 Loss_G: 2.3877 R1: 0.0451 R2: 0.0390 w_avg: [ 0.1808, 0.1924, 0.2136, ..., -0.1365, 0.0667, -0.0075]
INFO:root:[2][1787/2187] Loss_D: 0.4504 Loss_G: 2.1561 R1: 0.0382 R2: 0.0518 w_avg: [ 0.1810, 0.1926, 0.2135, ..., -0.1366, 0.0667, -0.0074]
INFO:root:[2][1788/2187] Loss_D: 0.4175 Loss_G: 2.5489 R1: 0.0442 R2: 0.0296 w_avg: [ 0.1811, 0.1921, 0.2133, ..., -0.1366, 0.0664, -0.0076]
INFO:root:[2][1789/2187] Loss_D: 0.2702 Loss_G: 2.6456 R1: 0.0435 R2: 0.0269 w_avg: [ 0.1810, 0.1920, 0.2134, ..., -0.1368, 0.0666, -0.0076]
INFO:root:[2][1790/2187] Loss_D: 0.1903 Loss_G: 2.3015 R1: 0.0433 R2: 0.0388 w_avg: [ 0.1812, 0.1921, 0.2133, ..., -0.1369, 0.0667, -0.0079]
INFO:root:[2][1791/2187] Loss_D: 0.4109 Loss_G: 2.1286 R1: 0.0439 R2: 0.0447 w_avg: [ 0.1810, 0.1916, 0.2132, ..., -0.1366, 0.0665, -0.0081]
INFO:root:[2][1792/2187] Loss_D: 0.3545 Loss_G: 2.3023 R1: 0.0553 R2: 0.0354 w_avg: [ 0.1815, 0.1917, 0.2133, ..., -0.1367, 0.0669, -0.0079]
INFO:root:[2][1793/2187] Loss_D: 0.3080 Loss_G: 2.0540 R1: 0.0659 R2: 0.0366 w_avg: [ 0.1815, 0.1916, 0.2137, ..., -0.1368, 0.0669, -0.0080]
INFO:root:[2][1794/2187] Loss_D: 0.2811 Loss_G: 1.7103 R1: 0.0351 R2: 0.0403 w_avg: [ 0.1817, 0.1914, 0.2135, ..., -0.1367, 0.0667, -0.0083]
INFO:root:[2][1795/2187] Loss_D: 0.3024 Loss_G: 2.2413 R1: 0.0467 R2: 0.0435 w_avg: [ 0.1820, 0.1920, 0.2138, ..., -0.1369, 0.0667, -0.0085]
INFO:root:[2][1796/2187] Loss_D: 0.4111 Loss_G: 2.0002 R1: 0.0415 R2: 0.0442 w_avg: [ 0.1818, 0.1921, 0.2137, ..., -0.1368, 0.0664, -0.0086]
INFO:root:[2][1797/2187] Loss_D: 0.4900 Loss_G: 2.2691 R1: 0.0421 R2: 0.0495 w_avg: [ 0.1821, 0.1924, 0.2144, ..., -0.1366, 0.0663, -0.0087]
INFO:root:[2][1798/2187] Loss_D: 0.3500 Loss_G: 1.9675 R1: 0.0416 R2: 0.0442 w_avg: [ 0.1817, 0.1922, 0.2144, ..., -0.1367, 0.0662, -0.0088]
INFO:root:[2][1799/2187] Loss_D: 0.4405 Loss_G: 2.4063 R1: 0.0428 R2: 0.0449 w_avg: [ 0.1817, 0.1924, 0.2146, ..., -0.1365, 0.0662, -0.0089]
INFO:root:[2][1800/2187] Loss_D: 0.3411 Loss_G: 1.9582 R1: 0.0411 R2: 0.0467 w_avg: [ 0.1814, 0.1921, 0.2145, ..., -0.1363, 0.0663, -0.0090]
INFO:root:[2][1801/2187] Loss_D: 0.4679 Loss_G: 2.4024 R1: 0.0493 R2: 0.0421 w_avg: [ 0.1815, 0.1926, 0.2149, ..., -0.1364, 0.0662, -0.0091]
INFO:root:[2][1802/2187] Loss_D: 0.3100 Loss_G: 2.4690 R1: 0.0416 R2: 0.0388 w_avg: [ 0.1813, 0.1927, 0.2144, ..., -0.1365, 0.0661, -0.0090]
INFO:root:[2][1803/2187] Loss_D: 0.3389 Loss_G: 2.0533 R1: 0.0384 R2: 0.0335 w_avg: [ 0.1809, 0.1924, 0.2144, ..., -0.1364, 0.0662, -0.0092]
INFO:root:[2][1804/2187] Loss_D: 0.3648 Loss_G: 1.7716 R1: 0.0379 R2: 0.0306 w_avg: [ 0.1812, 0.1922, 0.2144, ..., -0.1363, 0.0665, -0.0090]
INFO:root:[2][1805/2187] Loss_D: 0.3601 Loss_G: 2.0762 R1: 0.0408 R2: 0.0303 w_avg: [ 0.1814, 0.1920, 0.2144, ..., -0.1361, 0.0670, -0.0091]
INFO:root:[2][1806/2187] Loss_D: 0.5635 Loss_G: 2.5021 R1: 0.0401 R2: 0.0488 w_avg: [ 0.1812, 0.1920, 0.2144, ..., -0.1361, 0.0669, -0.0091]
INFO:root:[2][1807/2187] Loss_D: 0.2167 Loss_G: 2.6060 R1: 0.0356 R2: 0.0331 w_avg: [ 0.1809, 0.1922, 0.2144, ..., -0.1360, 0.0668, -0.0091]
INFO:root:[2][1808/2187] Loss_D: 0.3173 Loss_G: 2.1834 R1: 0.0406 R2: 0.0375 w_avg: [ 0.1805, 0.1925, 0.2143, ..., -0.1360, 0.0666, -0.0088]
INFO:root:[2][1809/2187] Loss_D: 0.3728 Loss_G: 2.1146 R1: 0.0303 R2: 0.0630 w_avg: [ 0.1804, 0.1924, 0.2145, ..., -0.1362, 0.0668, -0.0089]
INFO:root:[2][1810/2187] Loss_D: 0.4208 Loss_G: 1.8262 R1: 0.0465 R2: 0.0544 w_avg: [ 0.1801, 0.1922, 0.2143, ..., -0.1364, 0.0668, -0.0089]
INFO:root:[2][1811/2187] Loss_D: 0.3600 Loss_G: 2.4794 R1: 0.0391 R2: 0.0373 w_avg: [ 0.1799, 0.1919, 0.2143, ..., -0.1365, 0.0667, -0.0091]
INFO:root:[2][1812/2187] Loss_D: 0.2301 Loss_G: 2.1069 R1: 0.0399 R2: 0.0381 w_avg: [ 0.1796, 0.1917, 0.2139, ..., -0.1365, 0.0665, -0.0089]
INFO:root:[2][1813/2187] Loss_D: 0.2878 Loss_G: 1.9490 R1: 0.0447 R2: 0.0456 w_avg: [ 0.1796, 0.1915, 0.2138, ..., -0.1366, 0.0664, -0.0090]
INFO:root:[2][1814/2187] Loss_D: 0.4259 Loss_G: 2.1674 R1: 0.0425 R2: 0.0505 w_avg: [ 0.1797, 0.1915, 0.2137, ..., -0.1366, 0.0665, -0.0086]
INFO:root:[2][1815/2187] Loss_D: 0.2984 Loss_G: 2.0670 R1: 0.0424 R2: 0.0480 w_avg: [ 0.1797, 0.1913, 0.2137, ..., -0.1366, 0.0670, -0.0085]
INFO:root:[2][1816/2187] Loss_D: 0.3774 Loss_G: 2.3923 R1: 0.0464 R2: 0.0569 w_avg: [ 0.1797, 0.1915, 0.2138, ..., -0.1366, 0.0668, -0.0083]
INFO:root:[2][1817/2187] Loss_D: 0.2316 Loss_G: 2.5647 R1: 0.0435 R2: 0.0360 w_avg: [ 0.1801, 0.1915, 0.2137, ..., -0.1366, 0.0673, -0.0085]
INFO:root:[2][1818/2187] Loss_D: 0.2116 Loss_G: 1.9884 R1: 0.0409 R2: 0.0298 w_avg: [ 0.1804, 0.1913, 0.2136, ..., -0.1366, 0.0673, -0.0084]
INFO:root:[2][1819/2187] Loss_D: 0.3494 Loss_G: 2.4158 R1: 0.0394 R2: 0.0529 w_avg: [ 0.1806, 0.1913, 0.2137, ..., -0.1366, 0.0674, -0.0085]
INFO:root:[2][1820/2187] Loss_D: 0.5207 Loss_G: 2.2927 R1: 0.0499 R2: 0.0351 w_avg: [ 0.1807, 0.1910, 0.2135, ..., -0.1367, 0.0679, -0.0086]
INFO:root:[2][1821/2187] Loss_D: 0.2744 Loss_G: 2.1553 R1: 0.0462 R2: 0.0171 w_avg: [ 0.1807, 0.1909, 0.2136, ..., -0.1369, 0.0679, -0.0086]
INFO:root:[2][1822/2187] Loss_D: 0.2295 Loss_G: 2.4210 R1: 0.0394 R2: 0.0354 w_avg: [ 0.1812, 0.1908, 0.2140, ..., -0.1370, 0.0681, -0.0088]
INFO:root:[2][1823/2187] Loss_D: 0.2297 Loss_G: 2.2582 R1: 0.0549 R2: 0.0268 w_avg: [ 0.1810, 0.1909, 0.2141, ..., -0.1371, 0.0681, -0.0091]
INFO:root:[2][1824/2187] Loss_D: 0.3447 Loss_G: 2.7299 R1: 0.0388 R2: 0.0429 w_avg: [ 0.1809, 0.1911, 0.2140, ..., -0.1371, 0.0677, -0.0084]
INFO:root:[2][1825/2187] Loss_D: 0.3605 Loss_G: 2.7449 R1: 0.0531 R2: 0.0515 w_avg: [ 0.1809, 0.1909, 0.2141, ..., -0.1371, 0.0677, -0.0084]
INFO:root:[2][1826/2187] Loss_D: 0.2947 Loss_G: 2.0972 R1: 0.0568 R2: 0.0276 w_avg: [ 0.1813, 0.1913, 0.2137, ..., -0.1369, 0.0681, -0.0079]
INFO:root:[2][1827/2187] Loss_D: 0.3328 Loss_G: 2.1374 R1: 0.0493 R2: 0.0546 w_avg: [ 0.1811, 0.1909, 0.2136, ..., -0.1371, 0.0683, -0.0079]
INFO:root:[2][1828/2187] Loss_D: 0.3388 Loss_G: 2.6009 R1: 0.0513 R2: 0.0359 w_avg: [ 0.1809, 0.1909, 0.2134, ..., -0.1367, 0.0681, -0.0075]
INFO:root:[2][1829/2187] Loss_D: 0.3554 Loss_G: 2.3012 R1: 0.0364 R2: 0.0521 w_avg: [ 0.1808, 0.1910, 0.2137, ..., -0.1368, 0.0681, -0.0075]
INFO:root:[2][1830/2187] Loss_D: 0.2507 Loss_G: 2.3025 R1: 0.0491 R2: 0.0331 w_avg: [ 0.1809, 0.1912, 0.2135, ..., -0.1368, 0.0686, -0.0075]
INFO:root:[2][1831/2187] Loss_D: 0.3167 Loss_G: 2.1626 R1: 0.0323 R2: 0.0429 w_avg: [ 0.1812, 0.1914, 0.2135, ..., -0.1367, 0.0690, -0.0077]
INFO:root:[2][1832/2187] Loss_D: 0.4394 Loss_G: 2.1122 R1: 0.0355 R2: 0.0480 w_avg: [ 0.1809, 0.1912, 0.2133, ..., -0.1368, 0.0691, -0.0076]
INFO:root:[2][1833/2187] Loss_D: 0.3402 Loss_G: 2.6796 R1: 0.0427 R2: 0.0401 w_avg: [ 0.1811, 0.1917, 0.2132, ..., -0.1368, 0.0691, -0.0077]
INFO:root:[2][1834/2187] Loss_D: 0.2815 Loss_G: 1.9819 R1: 0.0496 R2: 0.0380 w_avg: [ 0.1812, 0.1918, 0.2130, ..., -0.1366, 0.0688, -0.0074]
INFO:root:[2][1835/2187] Loss_D: 0.3091 Loss_G: 2.3715 R1: 0.0430 R2: 0.0391 w_avg: [ 0.1807, 0.1915, 0.2128, ..., -0.1368, 0.0684, -0.0074]
INFO:root:[2][1836/2187] Loss_D: 0.3448 Loss_G: 2.2030 R1: 0.0432 R2: 0.0375 w_avg: [ 0.1805, 0.1914, 0.2126, ..., -0.1369, 0.0686, -0.0074]
INFO:root:[2][1837/2187] Loss_D: 0.3795 Loss_G: 2.4658 R1: 0.0457 R2: 0.0353 w_avg: [ 0.1807, 0.1912, 0.2123, ..., -0.1368, 0.0686, -0.0078]
INFO:root:[2][1838/2187] Loss_D: 0.4729 Loss_G: 1.9737 R1: 0.0363 R2: 0.0484 w_avg: [ 0.1
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