tensorflow:: ops:: Conv2D:: Attrs
#include <nn_ops.h>
Optional attribute setters for Conv2D.
Summary
Public attributes |
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data_format_ = "NHWC"
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StringPiece
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dilations_ = Default_dilations()
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gtl::ArraySlice< int >
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explicit_paddings_ = {}
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gtl::ArraySlice< int >
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use_cudnn_on_gpu_ = true
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bool
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Public functions |
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DataFormat(StringPiece x)
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TF_MUST_USE_RESULT Attrs
Specify the data format of the input and output data.
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Dilations(const gtl::ArraySlice< int > & x)
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TF_MUST_USE_RESULT Attrs
1-D tensor of length 4.
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ExplicitPaddings(const gtl::ArraySlice< int > & x)
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TF_MUST_USE_RESULT Attrs
If
padding is "EXPLICIT" , the list of explicit padding amounts. |
UseCudnnOnGpu(bool x)
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TF_MUST_USE_RESULT Attrs
Defaults to true.
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Public attributes
data_format_
StringPiece tensorflow::ops::Conv2D::Attrs::data_format_ = "NHWC"
dilations_
gtl::ArraySlice< int > tensorflow::ops::Conv2D::Attrs::dilations_ = Default_dilations()
explicit_paddings_
gtl::ArraySlice< int > tensorflow::ops::Conv2D::Attrs::explicit_paddings_ = {}
use_cudnn_on_gpu_
bool tensorflow::ops::Conv2D::Attrs::use_cudnn_on_gpu_ = true
Public functions
DataFormat
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2D::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, height, width, channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, channels, height, width].
Defaults to "NHWC"
Dilations
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2D::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::Conv2D::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::Conv2D::Attrs::UseCudnnOnGpu( bool x )
Defaults to true.