tensorflow::ops::QuantizedConv2D::Attrs
#include <nn_ops.h>
Optional attribute setters for QuantizedConv2D.
Summary
| Public attributes | |
|---|---|
dilations_ = Default_dilations() |
gtl::ArraySlice< int >
|
out_type_ = DT_QINT32 |
DataType
|
| Public functions | |
|---|---|
Dilations(const gtl::ArraySlice< int > & x) |
TF_MUST_USE_RESULT Attrs
1-D tensor of length 4.
|
OutType(DataType x) |
TF_MUST_USE_RESULT Attrs
Defaults to DT_QINT32.
|
Public attributes
dilations_
gtl::ArraySlice< int > tensorflow::ops::QuantizedConv2D::Attrs::dilations_ = Default_dilations()out_type_
DataType tensorflow::ops::QuantizedConv2D::Attrs::out_type_ = DT_QINT32Public 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.
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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/quantized-conv2-d/attrs