tensorflow::
ops::
Conv2DBackpropFilter::
Attrs
#include <nn_ops.h>
Optional attribute setters for Conv2DBackpropFilter .
Summary
Public attributes |
|
---|---|
data_format_
= "NHWC"
|
StringPiece
|
dilations_
= Default_dilations()
|
gtl::ArraySlice< int >
|
explicit_paddings_
= {}
|
gtl::ArraySlice< int >
|
use_cudnn_on_gpu_
= true
|
bool
|
Public functions |
|
---|---|
DataFormat
(StringPiece x)
|
TF_MUST_USE_RESULT
Attrs
Specify 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 4.
|
ExplicitPaddings
(const gtl::ArraySlice< int > & x)
|
TF_MUST_USE_RESULT
Attrs
If
padding
is
"EXPLICIT"
, the list of explicit padding amounts.
|
UseCudnnOnGpu
(bool x)
|
TF_MUST_USE_RESULT
Attrs
Defaults to true.
|
Public attributes
data_format_
StringPiece tensorflow::ops::Conv2DBackpropFilter::Attrs::data_format_ = "NHWC"
dilations_
gtl::ArraySlice< int > tensorflow::ops::Conv2DBackpropFilter::Attrs::dilations_ = Default_dilations()
explicit_paddings_
gtl::ArraySlice< int > tensorflow::ops::Conv2DBackpropFilter::Attrs::explicit_paddings_ = {}
use_cudnn_on_gpu_
bool tensorflow::ops::Conv2DBackpropFilter::Attrs::use_cudnn_on_gpu_ = true
Public functions
DataFormat
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2DBackpropFilter::Attrs::DataFormat( StringPiece x )
Specify the data format of the input and output data.
With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].
Defaults to "NHWC"
Dilations
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2DBackpropFilter::Attrs::Dilations( const gtl::ArraySlice< int > & x )
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 of
data_format
, see above for details. Dilations in the batch and depth dimensions must be 1.
Defaults to [1, 1, 1, 1]
ExplicitPaddings
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2DBackpropFilter::Attrs::ExplicitPaddings( const gtl::ArraySlice< int > & x )
If
padding
is
"EXPLICIT"
, the list of explicit padding amounts.
For the ith dimension, the amount of padding inserted before and after the dimension is
explicit_paddings[2 * i]
and
explicit_paddings[2 * i + 1]
, respectively. If
padding
is not
"EXPLICIT"
,
explicit_paddings
must be empty.
Defaults to []
UseCudnnOnGpu
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2DBackpropFilter::Attrs::UseCudnnOnGpu( bool x )
Defaults to true.