Dimensions aren`t equal

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An error named "ValueError: Dimensions must be equal, but are 513 and 41553 for 'loss/GaussianLogDensity/sub' (op: 'Sub') with input shapes: [16,513], [16,41553]."was occured ,when I run main.py using ConvVAE,VAETrain.Besides,my environment is py36,tf1.2 on cpu.Could you help me fix the problem?Thank you.

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I suspect if tf.layers.conv2d_transpose`s data_format is channels_fist caused dimension being equal in _generator,but Conv2DCustomBackpropInputOp only supports NHWC using cpu.