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_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.