tensorflow:: ops:: DepthwiseConv2dNativeBackpropInput
#include <nn_ops.h>
Computes the gradients of depthwise convolution with respect to the input.
Summary
Args:
- scope: A Scope object
- input_sizes: An integer vector representing the shape of
input
, based ondata_format
. For example, ifdata_format
is 'NHWC' theninput
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 based on
data_format
. For example, ifdata_format
is 'NHWC' then out_backprop shape is[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.
Optional attributes (see Attrs
):
- data_format: Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, height, width, channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, channels, height, width].
- dilations: 1-D tensor of length 4. The dilation factor for each dimension of
input
. If set to k > 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value ofdata_format
, see above for details. Dilations in the batch and depth dimensions must be 1.
Returns:
Output
: 4-D with shape according todata_format
. For example, ifdata_format
is 'NHWC', output shape is[batch, in_height, in_width, in_channels]
. Gradient w.r.t. the input of the convolution.
Constructors and Destructors |
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DepthwiseConv2dNativeBackpropInput(const ::tensorflow::Scope & scope, ::tensorflow::Input input_sizes, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding)
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DepthwiseConv2dNativeBackpropInput(const ::tensorflow::Scope & scope, ::tensorflow::Input input_sizes, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding, const DepthwiseConv2dNativeBackpropInput::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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Dilations(const gtl::ArraySlice< int > & x)
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ExplicitPaddings(const gtl::ArraySlice< int > & x)
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Structs |
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tensorflow:: |
Optional attribute setters for DepthwiseConv2dNativeBackpropInput. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
DepthwiseConv2dNativeBackpropInput
DepthwiseConv2dNativeBackpropInput( const ::tensorflow::Scope & scope, ::tensorflow::Input input_sizes, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding )
DepthwiseConv2dNativeBackpropInput
DepthwiseConv2dNativeBackpropInput( const ::tensorflow::Scope & scope, ::tensorflow::Input input_sizes, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding, const DepthwiseConv2dNativeBackpropInput::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 )
Dilations
Attrs Dilations( const gtl::ArraySlice< int > & x )
ExplicitPaddings
Attrs ExplicitPaddings( const gtl::ArraySlice< int > & x )