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Add compatibility to TF12 cause by the change of ones_initializer api.
Fix batchnormlayer compatibility to TF12
The run() and eval() will run the whole graph from scratch, so combining ops to an array and executing together will result in significant speed-up.
…tore_speedup Update files.py, speed up model saving and restoring process.
…EYS-compatible Update layers.py, make tf.GraphKeys.VARIABLES compatible with TF v0.12.
Fix some bugs like tensorflow/tensorflow#5118.
Update nlp.py --> Support chinese
To make the read_words function can be used in Python3.5 without a BUG "TypeError: a bytes-like object is required, not 'str'"
compatibility of python3.5 --> nlp/read_words()
…I of BiRNNLayer and DynamicRNNLayer
[layers] update BiDynamicRNNLayer
[layers] change _shape to get_shape
[layers] fix BiDynamicRNNLayer to avoid error in gradient updating
Added deconv2d_bilinear_upsampling_initializer() to layer.py
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