tensorflow::ops::DepthwiseConv2dNativeBackpropInput

#include <nn_ops.h>

Computes the gradients of depthwise convolution with respect to the input.

Summary

Arguments:

• scope: A Scope object
• input_sizes: An integer vector representing the shape of input, where input is a 4-D [batch, height, width, channels] tensor.
• filter: 4-D with shape [filter_height, filter_width, in_channels, depthwise_multiplier].
• out_backprop: 4-D with shape [batch, out_height, out_width, out_channels]. Gradients w.r.t. the output of the convolution.
• strides: The stride of the sliding window for each dimension of the input of the convolution.
• padding: The type of padding algorithm to use.

Returns:

• Output: 4-D with shape [batch, in_height, in_width, in_channels]. Gradient w.r.t. the input of the convolution.

Public attributes

::tensorflow::Output output

Public functions

 DepthwiseConv2dNativeBackpropInput(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input_sizes,
  ::tensorflow::Input filter,
  ::tensorflow::Input out_backprop,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const