tf.keras.backend.separable_conv2d

tf.keras.backend.separable_conv2d(
    x,
    depthwise_kernel,
    pointwise_kernel,
    strides=(1, 1),
    padding='valid',
    data_format=None,
    dilation_rate=(1, 1)
)

Defined in tensorflow/python/keras/_impl/keras/backend.py.

2D convolution with separable filters.

Arguments:

• x: input tensor
• depthwise_kernel: convolution kernel for the depthwise convolution.
• pointwise_kernel: kernel for the 1x1 convolution.
• strides: strides tuple (length 2).
• padding: string, "same" or "valid".
• data_format: string, "channels_last" or "channels_first".
• dilation_rate: tuple of integers, dilation rates for the separable convolution.

Returns:

Output tensor.

Raises:

• ValueError: if data_format is neither channels_last or channels_first.