tensorflow:: ops:: MaxPool3DGrad
#include <nn_ops.h>
Computes gradients of 3D max pooling function.
Summary
Args:
- scope: A Scope object
- orig_input: The original input tensor.
- orig_output: The original output tensor.
- grad: Output backprop of shape
[batch, depth, rows, cols, channels]
. - ksize: 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have
ksize[0] = ksize[4] = 1
. - strides: 1-D tensor of length 5. The stride of the sliding window for each dimension of
input
. Must havestrides[0] = strides[4] = 1
. - padding: The type of padding algorithm to use.
Optional attributes (see Attrs
):
- data_format: The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].
Returns:
Output
: The output tensor.
Constructors and Destructors |
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MaxPool3DGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input orig_input, ::tensorflow::Input orig_output, ::tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding)
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MaxPool3DGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input orig_input, ::tensorflow::Input orig_output, ::tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const MaxPool3DGrad::Attrs & attrs)
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Public attributes |
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operation
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output
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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 static functions |
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DataFormat(StringPiece x)
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Structs |
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tensorflow:: |
Optional attribute setters for MaxPool3DGrad. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
MaxPool3DGrad
MaxPool3DGrad( const ::tensorflow::Scope & scope, ::tensorflow::Input orig_input, ::tensorflow::Input orig_output, ::tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding )
MaxPool3DGrad
MaxPool3DGrad( const ::tensorflow::Scope & scope, ::tensorflow::Input orig_input, ::tensorflow::Input orig_output, ::tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const MaxPool3DGrad::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
DataFormat
Attrs DataFormat( StringPiece x )