Apply 1D conv with un-shared weights. Arguments: inputs: 3D tensor with shape: (batch_size, steps, input_dim) if data_format is "channels_last" or (batch_size, input_dim, steps) if data_format is "channels_first". kernel: the unshared weight for
(inputs, kernel, kernel_size, strides, data_format=None)
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