conv1 = nengo_dl.Layer(tf.keras.layers.Conv1D(filters=16, kernel_size=3))(inp)
when I use this code, it always tells me:
TensorNode.tensor_func: Attempting to automatically determine TensorNode output shape by calling Layer.compute_output_signature produced an error. If you would like to avoid this step, try manually setting TensorNode (., shape_out=x)
But if I use:
conv1 = nengo_dl.Layer(tf.keras.layers.Conv2D(filters=16, kernel_size=3))(inp)
It will not find error.
What’s wrong with this? I tried a lot according to the error. But made no result.
So nengo_dl can’t use keras.layers.Conv1D?
I don’t think so. It doesn’t make sense.
Anyone encountered this?