tf.keras.backend.separable_conv2d

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2D convolution with separable filters.

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

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.
• ValueError: if strides is not a tuple of 2 integers.