#include <nn_ops.h>
Optional attribute setters for DepthwiseConv2dNativeBackpropInput.
| Public attributes | |
|---|---|
data_format_ = "NHWC" | StringPiece |
dilations_ = {1, 1, 1, 1} | 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. |
StringPiece tensorflow::ops::DepthwiseConv2dNativeBackpropInput::Attrs::data_format_ = "NHWC"
gtl::ArraySlice< int > tensorflow::ops::DepthwiseConv2dNativeBackpropInput::Attrs::dilations_ = {1, 1, 1, 1} TF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNativeBackpropInput::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"
TF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNativeBackpropInput::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]
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/struct/tensorflow/ops/depthwise-conv2d-native-backprop-input/attrs.html