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https://github.com/wassname/Run-Skeleton-Run.git
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pytorch version
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from __future__ import print_function
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from contextlib import contextmanager
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import numpy as np
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import time
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# ================================================================
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# Misc
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# ================================================================
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def fmt_row(width, row, header=False):
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out = " | ".join(fmt_item(x, width) for x in row)
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if header: out = out + "\n" + "-" * len(out)
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return out
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def fmt_item(x, l):
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if isinstance(x, np.ndarray):
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assert x.ndim == 0
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x = x.item()
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if isinstance(x, float):
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rep = "%g" % x
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else:
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rep = str(x)
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return " " * (l - len(rep)) + rep
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color2num = dict(
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gray=30,
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red=31,
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green=32,
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yellow=33,
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blue=34,
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magenta=35,
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cyan=36,
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white=37,
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crimson=38
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)
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def colorize(string, color, bold=False, highlight=False):
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attr = []
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num = color2num[color]
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if highlight: num += 10
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attr.append(str(num))
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if bold: attr.append('1')
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return '\x1b[%sm%s\x1b[0m' % (';'.join(attr), string)
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MESSAGE_DEPTH = 0
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@contextmanager
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def timed(msg):
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global MESSAGE_DEPTH # pylint: disable=W0603
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print(colorize('\t' * MESSAGE_DEPTH + '=: ' + msg, color='magenta'))
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tstart = time.time()
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MESSAGE_DEPTH += 1
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yield
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MESSAGE_DEPTH -= 1
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print(colorize('\t' * MESSAGE_DEPTH + "done in %.3f seconds" % (time.time() - tstart),
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color='magenta'))
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