tf.keras.backend.local_conv1d

Apply 1D conv with un-shared weights.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.local_conv1d, `tf.compat.v2.keras.backend.local_conv1d`

tf.keras.backend.local_conv1d(
    inputs, kernel, kernel_size, strides, data_format=None
)

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 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.

Returns
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'.