tf.raw_ops.Dilation2DBackpropFilter

Computes the gradient of morphological 2-D dilation with respect to the filter.

tf.raw_ops.Dilation2DBackpropFilter(
    input, filter, out_backprop, strides, rates, padding, name=None
)

Args:

  • input: A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64. 4-D with shape [batch, in_height, in_width, depth].
  • filter: A Tensor. Must have the same type as input. 3-D with shape [filter_height, filter_width, depth].
  • out_backprop: A Tensor. Must have the same type as input. 4-D with shape [batch, out_height, out_width, depth].
  • strides: A list of ints that has length >= 4. 1-D of length 4. The stride of the sliding window for each dimension of the input tensor. Must be: [1, stride_height, stride_width, 1].
  • rates: A list of ints that has length >= 4. 1-D of length 4. The input stride for atrous morphological dilation. Must be: [1, rate_height, rate_width, 1].
  • padding: A string from: "SAME", "VALID". The type of padding algorithm to use.
  • name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as input.