tensorflow:: ops:: Conv3D
#include <nn_ops.h>
Computes a 3-D convolution given 5-D input
and filter
tensors.
Summary
In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or sliding inner-product.
Our Conv3D implements a form of cross-correlation.
Args:
- scope: A Scope object
- input: Shape
[batch, in_depth, in_height, in_width, in_channels]
. - filter: Shape
[filter_depth, filter_height, filter_width, in_channels, out_channels]
.in_channels
must match betweeninput
andfilter
. - 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].
- dilations: 1-D tensor of length 5. 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
: The output tensor.
Constructors and Destructors |
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Conv3D(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, const gtl::ArraySlice< int > & strides, StringPiece padding)
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Conv3D(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, const gtl::ArraySlice< int > & strides, StringPiece padding, const Conv3D::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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Structs |
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tensorflow:: |
Optional attribute setters for Conv3D. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
Conv3D
Conv3D( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, const gtl::ArraySlice< int > & strides, StringPiece padding )
Conv3D
Conv3D( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, const gtl::ArraySlice< int > & strides, StringPiece padding, const Conv3D::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 )