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Improve Tensorboard histogram scale

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allegroai 2020-07-02 01:15:25 +03:00
parent ae6e417d61
commit b2fb5a3425
1 changed files with 2 additions and 0 deletions
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trains/binding/frameworks/tensorflow_bind.py
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@ -150,6 +150,8 @@ class WeightsGradientHistHelper(object):
# resample histograms on a unified bin axis +- epsilon
_epsilon = abs((minmax[1] - minmax[0])/float(self._hist_x_granularity))
if _epsilon == 0:
_epsilon = 0.01
_minmax = minmax[0] - _epsilon, minmax[1] + _epsilon
prev_xedge = np.arange(start=_minmax[0],
step=(_minmax[1] - _minmax[0]) / float(self._hist_x_granularity - 2), stop=_minmax[1])