snakers4

from tqdm import tqdm
import numpy as np
import pandas as pd
from multiprocessing import Pool

def _apply_df(args):
    df, func, num, kwargs = args
    return num, df.apply(func, **kwargs)

def apply_by_multiprocessing(df,func,**kwargs):

snakers4

import gc
import gzip
import time
import json
import shutil
import os,sys
import tldextract
import collections
import pandas as pd
from tqdm import tqdm

snakers4

import gc
import gzip
import time
import json
import shutil
import os,sys
import tldextract
import collections
import pandas as pd
from tqdm import tqdm

snakers4

import os
import re
import sys
import glob
import nltk
import gensim
import numpy as np
import pandas as pd
from tqdm import tqdm
from uuid import uuid4

snakers4

import gc
import tqdm
import faiss
import bcolz
import os,sys
import numpy as np
from tqdm import tqdm

# open the stored bcolz array
# note that these vectors have to be 280 dimensional

snakers4

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

# Focal loss implementation inspired by
# https://github.com/c0nn3r/RetinaNet/blob/master/focal_loss.py
# https://github.com/doiken23/pytorch_toolbox/blob/master/focalloss2d.py
class MultiClassBCELoss(nn.Module):
    def __init__(self,
                 use_weight_mask=False,

snakers4

python3 train.py \
    --epochs 30 --batch-size 512 --seed 42 \
    --model_type fc_conv --dataset_type fmnist --latent_space_size 10 \
    --do_augs False \
    --lr 1e-3 --m1 40 --m2 50 \
    --optimizer adam \
    --do_running_mean False --img_loss_weight 1.0 --kl_loss_weight 1.0 \
    --image_loss_type bce --ssim_window_size 5 \
    --print-freq 10 \
    --lognumber fmnist_fc_conv_l10_rebalance_no_norm \

snakers4

# add 7z tar and zip archivers
FROM nvidia/cuda:9.0-cudnn7-devel

# https://docs.docker.com/engine/examples/running_ssh_service/
RUN apt-get update && apt-get install -y openssh-server
RUN mkdir /var/run/sshd
RUN echo 'root:Ubuntu@41' | chpasswd
RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config
RUN sed -i 's/#PasswordAuthentication yes/PasswordAuthentication no/' /etc/ssh/sshd_config
RUN mkdir ~/.ssh/

snakers4

import torch
import torch.nn as nn
import torch.nn.functional as F
from utils.PyTorchSSIM import SSIM as SSIMLoss


class AttackerLoss(nn.Module):
    def __init__(self,
                 gamma=0.9,
                 use_running_mean=False,

snakers4

# add 7z tar and zip archivers
FROM nvidia/cuda:9.0-cudnn7-devel

# https://docs.docker.com/engine/examples/running_ssh_service/
RUN apt-get update && apt-get install -y openssh-server
RUN mkdir /var/run/sshd
RUN echo 'root:Ubuntu@41' | chpasswd
RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config
RUN sed -i 's/#PasswordAuthentication yes/PasswordAuthentication no/' /etc/ssh/sshd_config
RUN mkdir ~/.ssh/