Conv3D_CLSTM
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TypeError: __init__() missing 1 required positional argument: 'prev_layer'
I have replaced RNNLayer code with the tensorlayer-rnnlayer.py.But now it have a new problem.
I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: FMA
[TL] WARNING: Function: tensorlayer.layers.utils.set_name_reuse
(in file: /home/fang/3Dgesture/tensorlayer/layers/utils.py) is deprecated and will be removed after 2018-06-30.
Instructions for updating: TensorLayer relies on TensorFlow to check name reusing
[TL] WARNING: this method is DEPRECATED and has no effect, please remove it from your code.
[TL] WARNING: DeprecationWarning: BatchNormLayer.init(): layer
argument is deprecated and will be removed in version 1.9, please change for prev_layer.
[TL] WARNING: DeprecationWarning: BatchNormLayer.init(): layer
argument is deprecated and will be removed in version 1.9, please change for prev_layer.
[TL] WARNING: DeprecationWarning: BatchNormLayer.init(): layer
argument is deprecated and will be removed in version 1.9, please change for prev_layer.
Traceback (most recent call last):
File "training_skig_rgb.py", line 49, in
I erally don't know where is the point.....
@GuangmingZhu Thank you!!!
@peach2wanzi This work is done with the old version of Tensorlayer. You can refer to the new network using keras in TF-1.2: https://github.com/GuangmingZhu/ContinuousGR and https://github.com/GuangmingZhu/AttentioninConvLSTM.