tensorflow::ops::Mean
#include <math_ops.h>
Computes the mean of elements across dimensions of a tensor.
Summary
Reduces input
along the dimensions given in axis
. Unless keep_dims
is true, the rank of the tensor is reduced by 1 for each entry in axis
. If keep_dims
is true, the reduced dimensions are retained with length 1.
Arguments:
- scope: A Scope object
- input: The tensor to reduce.
- axis: The dimensions to reduce. Must be in the range
[-rank(input), rank(input))
.
Optional attributes (see Attrs
):
- keep_dims: If true, retain reduced dimensions with length 1.
Returns:
-
Output
: The reduced tensor.
Aliases:
- ReduceMean
Constructors and Destructors | |
---|---|
Mean(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis) | |
Mean(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const Mean::Attrs & attrs) |
Public attributes | |
---|---|
operation | |
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public static functions | |
---|---|
KeepDims(bool x) |
Structs | |
---|---|
tensorflow::ops::Mean::Attrs | Optional attribute setters for Mean. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
Mean
Mean( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis )
Mean
Mean( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const Mean::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
KeepDims
Attrs KeepDims( bool x )
© 2020 The TensorFlow Authors. All rights reserved.
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/class/tensorflow/ops/mean