tf.keras.backend.local_conv1d
Apply 1D conv with un-shared weights.
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'. |