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Attention OCR: Add missing is_training to batch_norm and dropout #2776

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Nov 13, 2017
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Attention OCR: Add missing is_training to batch_norm and dropout #2776

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8 changes: 5 additions & 3 deletions research/attention_ocr/python/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -201,9 +201,11 @@ def conv_tower_fn(self, images, is_training=True, reuse=None):
with tf.variable_scope('conv_tower_fn/INCE'):
if reuse:
tf.get_variable_scope().reuse_variables()
with slim.arg_scope(inception.inception_v3_arg_scope()):
net, _ = inception.inception_v3_base(
images, final_endpoint=mparams.final_endpoint)
with slim.arg_scope(
[slim.batch_norm, slim.dropout], is_training=is_training):
with slim.arg_scope(inception.inception_v3_arg_scope()):
net, _ = inception.inception_v3_base(
images, final_endpoint=mparams.final_endpoint)
return net

def _create_lstm_inputs(self, net):
Expand Down