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.
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/struct/tensorflow/ops/conv2-d-backprop-filter/attrs