tensorflow::
#include <nn_ops.h>
Optional attribute setters for Conv3DBackpropInputV2 .
Summary
Public attributes |
|
|---|---|
data_format_
= "NDHWC"
|
StringPiece
|
dilations_
= Default_dilations()
|
gtl::ArraySlice< int >
|
Public functions |
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|---|---|
DataFormat
(StringPiece x)
|
TF_MUST_USE_RESULT
Attrs
The data format of the input and output data.
|
Dilations
(const gtl::ArraySlice< int > & x)
|
TF_MUST_USE_RESULT
Attrs
1-D tensor of length 5.
|
Public attributes
data_format_
StringPiece tensorflow::ops::Conv3DBackpropInputV2::Attrs::data_format_ = "NDHWC"
dilations_
gtl::ArraySlice< int > tensorflow::ops::Conv3DBackpropInputV2::Attrs::dilations_ = Default_dilations()
Public functions
DataFormat
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv3DBackpropInputV2::Attrs::DataFormat( StringPiece x )
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].
Defaults to "NDHWC"
Dilations
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv3DBackpropInputV2::Attrs::Dilations( const gtl::ArraySlice< int > & x )
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 of
data_format
, see above for details. Dilations in the batch and depth dimensions must be 1.
Defaults to [1, 1, 1, 1, 1]