santisy

"""
    Convert tar file to zip file
    Author: Dingdong Yang
"""

import cv2
import numpy as np

import tarfile
import zipfile

santisy

import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F


class hGRUKernel(nn.Module):
    '''
        initializer: the one used to initialize the weights
        gain: xavier gain

santisy

import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torch.nn import Parameter

def _l2normalize(v, eps=1e-12):
    return v / (torch.norm(v, p=2) + eps)

def max_singular_value(W, u=None, Ip=1):

santisy

import torch
import time
import numpy as np

time1 = time.time()
## double this tensor's second dimension(20->40), you will almost double the time
for _ in range(100):
  tensor = torch.randn(5, 20, 128, 128)
  array = np.zeros((128, 128), dtype=np.uint8)
  tensor[1, 2, :, :] = torch.from_numpy(array).float()