#include <nn_ops.h>
Optional attribute setters for Conv3DBackpropInputV2.
| Public attributes | |
|---|---|
data_format_ = "NDHWC" | StringPiece |
dilations_ = {1, 1, 1, 1, 1} | gtl::ArraySlice< int > |
| Public functions | |
|---|---|
DataFormat(StringPiece x) | TF_MUST_USE_RESULT Attrs 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 5. |
StringPiece tensorflow::ops::Conv3DBackpropInputV2::Attrs::data_format_ = "NDHWC"
gtl::ArraySlice< int > tensorflow::ops::Conv3DBackpropInputV2::Attrs::dilations_ = {1, 1, 1, 1, 1} TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv3DBackpropInputV2::Attrs::DataFormat( StringPiece x )
The data format of the input and output data.
With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].
Defaults to "NDHWC"
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv3DBackpropInputV2::Attrs::Dilations( const gtl::ArraySlice< int > & x )
1-D tensor of length 5.
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, 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/conv3-d-backprop-input-v2/attrs.html