File size: 1,952 Bytes
49b555e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import os
from tqdm import tqdm
from torchvision.utils import save_image
from absl import logging
import copy
import datetime
import math
import einops
from einops import rearrange
import sys
import glob
import shutil
from torch.utils.tensorboard import SummaryWriter
UNSAVED_DIRS = ['outputs', 'checkpoint', 'checkpoints', 'workdir', 'build', '.git', '__pycache__', 'assets', 'samples']
def backup_code(work_dir, verbose=False):
base_dir = './'
dir_list = ["*.py", ]
for file in os.listdir(base_dir):
sub_dir = os.path.join(base_dir, file)
if os.path.isdir(sub_dir):
if file in UNSAVED_DIRS:
continue
for root, dirs, files in os.walk(sub_dir):
for dir_name in dirs:
dir_list.append(os.path.join(root, dir_name)+"/*.py")
elif file.split('.')[-1] == 'py':
pass
for pattern in dir_list:
for file in glob.glob(pattern):
src = os.path.join(base_dir, file)
dst = os.path.join(work_dir, 'backup', os.path.dirname(file))
if verbose:
logging.info('Copying %s -> %s' % (os.path.relpath(src), os.path.relpath(dst)))
os.makedirs(dst, exist_ok=True)
shutil.copy2(src, dst)
def get_str_time():
return str(datetime.datetime.now()).replace(':', '_').replace('.', '_').replace('-', "_").replace(' ', '_')
def set_logger(log_level='info', fname=None):
import logging as _logging
handler = logging.get_absl_handler()
formatter = _logging.Formatter('%(asctime)s - %(filename)s - %(message)s')
handler.setFormatter(formatter)
logging.set_verbosity(log_level)
if fname is not None:
handler = _logging.FileHandler(fname)
handler.setFormatter(formatter)
logging.get_absl_logger().addHandler(handler) |