tensorflow:: ops:: Dilation2DBackpropInput
  #include <nn_ops.h>
  Computes the gradient of morphological 2-D dilation with respect to the input.
Summary
Arguments:
- scope: A Scope object
 - input: 4-D with shape 
[batch, in_height, in_width, depth]. - filter: 3-D with shape 
[filter_height, filter_width, depth]. - out_backprop: 4-D with shape 
[batch, out_height, out_width, depth]. - strides: 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: 1-D of length 4. The input stride for atrous morphological dilation. Must be: 
[1, rate_height, rate_width, 1]. - padding: The type of padding algorithm to use.
 
Returns:
Output: 4-D with shape[batch, in_height, in_width, depth].
        Constructors and Destructors | 
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        Dilation2DBackpropInput(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, const gtl::ArraySlice< int > & rates, StringPiece padding)
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        Public attributes | 
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        in_backprop
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        operation
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        Public functions | 
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        node() const 
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        ::tensorflow::Node *
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        operator::tensorflow::Input() const 
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        operator::tensorflow::Output() const 
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Public attributes
in_backprop
::tensorflow::Output in_backprop
operation
Operation operation
Public functions
Dilation2DBackpropInput
Dilation2DBackpropInput( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, const gtl::ArraySlice< int > & rates, StringPiece padding )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const