update TF models (beta version)
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@@ -1,7 +1,8 @@
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##################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019 #
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##################################################
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from .logger import Logger
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from .print_logger import PrintLogger
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# every package does not rely on pytorch or tensorflow
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# I tried to list all dependency here: os, sys, time, numpy, (possibly) matplotlib
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from .logger import Logger, PrintLogger
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from .meter import AverageMeter
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from .time_utils import time_for_file, time_string, time_string_short, time_print, convert_size2str, convert_secs2time
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from .time_utils import time_for_file, time_string, time_string_short, time_print, convert_secs2time
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@@ -1,9 +1,6 @@
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# Copyright (c) Facebook, Inc. and its affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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#
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##################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019 #
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##################################################
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from pathlib import Path
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import importlib, warnings
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import os, sys, time, numpy as np
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@@ -16,6 +13,19 @@ if importlib.util.find_spec('tensorflow'):
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import tensorflow as tf
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class PrintLogger(object):
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def __init__(self):
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"""Create a summary writer logging to log_dir."""
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self.name = 'PrintLogger'
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def log(self, string):
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print (string)
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def close(self):
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print ('-'*30 + ' close printer ' + '-'*30)
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class Logger(object):
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def __init__(self, log_dir, seed, create_model_dir=True, use_tf=False):
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@@ -1,4 +1,3 @@
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import time, sys
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import numpy as np
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@@ -1,14 +0,0 @@
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import os, sys, time
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class PrintLogger(object):
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def __init__(self):
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"""Create a summary writer logging to log_dir."""
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self.name = 'PrintLogger'
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def log(self, string):
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print (string)
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def close(self):
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print ('-'*30 + ' close printer ' + '-'*30)
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@@ -1,37 +1,27 @@
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# Copyright (c) Facebook, Inc. and its affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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#
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##################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019 #
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##################################################
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import time, sys
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import numpy as np
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def time_for_file():
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ISOTIMEFORMAT='%d-%h-at-%H-%M-%S'
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return '{}'.format(time.strftime( ISOTIMEFORMAT, time.gmtime(time.time()) ))
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return '{:}'.format(time.strftime( ISOTIMEFORMAT, time.gmtime(time.time()) ))
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def time_string():
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ISOTIMEFORMAT='%Y-%m-%d %X'
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string = '[{}]'.format(time.strftime( ISOTIMEFORMAT, time.gmtime(time.time()) ))
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string = '[{:}]'.format(time.strftime( ISOTIMEFORMAT, time.gmtime(time.time()) ))
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return string
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def time_string_short():
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ISOTIMEFORMAT='%Y%m%d'
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string = '{}'.format(time.strftime( ISOTIMEFORMAT, time.gmtime(time.time()) ))
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string = '{:}'.format(time.strftime( ISOTIMEFORMAT, time.gmtime(time.time()) ))
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return string
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def time_print(string, is_print=True):
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if (is_print):
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print('{} : {}'.format(time_string(), string))
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def convert_size2str(torch_size):
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dims = len(torch_size)
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string = '['
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for idim in range(dims):
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string = string + ' {}'.format(torch_size[idim])
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return string + ']'
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def convert_secs2time(epoch_time, return_str=False):
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need_hour = int(epoch_time / 3600)
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need_mins = int((epoch_time - 3600*need_hour) / 60)
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