mazeltovlee

Yes, this is the issue that I am encountering. I assume these layers should raise an exception when the shape is 0.

Hi @tilakrayal , Please access this link to see the symptom: https://colab.research.google.com/drive/1EvhXQKO9iWQIo0qrPB0EDfI5vRGTKt_g?usp=sharing The current behavior is: when the input shape of GlobalMax{Avg}Pooling layer is 0, these layers may not output...

Hi, I also observe the same issue on `SeparableConv2D`. ``` import keras input_shape = (10, 14, 14, 516) x = keras.layers.Input((14,14,516)) y = keras.layers.SeparableConv2D(10, kernel_size=3, strides=(2,2), padding="same", dilation_rate=(3,1))(x) print(y.shape) ```...

Hi @SuryanarayanaY , The error I am experiencing is the NotFoundError: ``` tensorflow.python.framework.errors_impl.NotFoundError: Could not find device for node: {{node Tan}} = Tan[T=DT_INT8] All kernels registered for op Tan: device='XLA_CPU_JIT';...

Thanks for the fix and the explanation. I am closing this issue.