tf.keras.backend.local_conv1d

Apply 1D conv with un-shared weights.

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 convolution, with shape (output_length, feature_dim, filters).
kernel_size a tuple of a single integer, specifying the length of the 1D convolution window.
strides a tuple of a single integer, specifying the stride length of the convolution.
data_format the data format, channels_first or channels_last.

A 3d tensor with shape: (batch_size, output_length, filters) if data_format='channels_first' or 3D tensor with shape: (batch_size, filters, output_length) if data_format='channels_last'.