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import torch | |
from torch import nn, optim | |
import torch.nn.functional as F | |
from torch.utils.data import DataLoader | |
from torchvision.datasets import ImageFolder | |
from torchvision import transforms | |
from torchsummary import summary | |
import wandb | |
import os, shutil | |
import imageio | |
from tqdm.auto import tqdm | |
import matplotlib.pyplot as plt | |
from mpl_toolkits.axes_grid1 import ImageGrid | |
print('Pytorch Version:', torch.__version__) | |
print('GPU Available:', torch.cuda.is_available()) | |
device = 'cuda' if torch.cuda.is_available() else 'cpu' | |
print('Setting device to:', device) | |
ckpt_root = 'drive/My Drive/Model-Checkpoints/Fake Anime - Pytorch' | |
if not os.path.isdir(ckpt_root): | |
os.mkdir(ckpt_root) | |
print('Making checkpoint dir for first time...') | |
progress_dir = os.path.join(ckpt_root, 'progress') | |
if not os.path.isdir(progress_dir): | |
os.mkdir(progress_dir) | |
print('Making progress dir for first time...') |
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