tensorflow:: ops:: QuantizedConv2D:: Attrs
#include <nn_ops.h>
Optional attribute setters for QuantizedConv2D.
Summary
Public attributes |
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dilations_ = Default_dilations()
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gtl::ArraySlice< int >
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out_type_ = DT_QINT32
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DataType
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Public functions |
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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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OutType(DataType x)
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TF_MUST_USE_RESULT Attrs
Defaults to DT_QINT32.
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Public attributes
dilations_
gtl::ArraySlice< int > tensorflow::ops::QuantizedConv2D::Attrs::dilations_ = Default_dilations()
out_type_
DataType tensorflow::ops::QuantizedConv2D::Attrs::out_type_ = DT_QINT32
Public functions
Dilations
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedConv2D::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]
OutType
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedConv2D::Attrs::OutType( DataType x )
Defaults to DT_QINT32.