tensorflow::ops::Conv3D::Attrs
#include <nn_ops.h>
Optional attribute setters for Conv3D.
Summary
| Public attributes | |
|---|---|
data_format_ = "NDHWC" |
StringPiece
|
dilations_ = Default_dilations() |
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.
|
Public attributes
data_format_
StringPiece tensorflow::ops::Conv3D::Attrs::data_format_ = "NDHWC"dilations_
gtl::ArraySlice< int > tensorflow::ops::Conv3D::Attrs::dilations_ = Default_dilations()Public functions
DataFormat
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv3D::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"
Dilations
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv3D::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 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/struct/tensorflow/ops/conv3-d/attrs