tensorflow::ops::DepthwiseConv2dNative::Attrs
#include <nn_ops.h>
Optional attribute setters for DepthwiseConv2dNative.
Summary
| Public attributes | |
|---|---|
data_format_ = "NHWC" |
StringPiece
|
dilations_ = Default_dilations() |
gtl::ArraySlice< int >
|
explicit_paddings_ = {} |
gtl::ArraySlice< int >
|
| 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
Defaults to [].
|
Public attributes
data_format_
StringPiece tensorflow::ops::DepthwiseConv2dNative::Attrs::data_format_ = "NHWC"dilations_
gtl::ArraySlice< int > tensorflow::ops::DepthwiseConv2dNative::Attrs::dilations_ = Default_dilations()explicit_paddings_
gtl::ArraySlice< int > tensorflow::ops::DepthwiseConv2dNative::Attrs::explicit_paddings_ = {}Public functions
DataFormat
TF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNative::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::DepthwiseConv2dNative::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::DepthwiseConv2dNative::Attrs::ExplicitPaddings(
const gtl::ArraySlice< int > & x
)Defaults to [].
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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/r2.9/api_docs/cc/struct/tensorflow/ops/depthwise-conv2d-native/attrs