tensorflow::ops::RandomShuffle
#include <random_ops.h>
Randomly shuffles a tensor along its first dimension.
Summary
The tensor is shuffled along dimension 0, such that each value[j]
is mapped to one and only one output[i]
. For example, a mapping that might occur for a 3x2 tensor is:
[[1, 2], [[5, 6],
[3, 4], ==> [1, 2],
[5, 6]] [3, 4]]
Arguments:
- scope: A Scope object
- value: The tensor to be shuffled.
Optional attributes (see Attrs
):
- seed: If either
seed
orseed2
are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. - seed2: A second seed to avoid seed collision.
Returns:
-
Output
: A tensor of same shape and type asvalue
, shuffled along its first dimension.
Constructors and Destructors | |
---|---|
RandomShuffle(const ::tensorflow::Scope & scope, ::tensorflow::Input value) | |
RandomShuffle(const ::tensorflow::Scope & scope, ::tensorflow::Input value, const RandomShuffle::Attrs & attrs) |
Public attributes | |
---|---|
operation | |
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public static functions | |
---|---|
Seed(int64 x) | |
Seed2(int64 x) |
Structs | |
---|---|
tensorflow::ops::RandomShuffle::Attrs | Optional attribute setters for RandomShuffle. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
RandomShuffle
RandomShuffle(
const ::tensorflow::Scope & scope,
::tensorflow::Input value
)
RandomShuffle
RandomShuffle(
const ::tensorflow::Scope & scope,
::tensorflow::Input value,
const RandomShuffle::Attrs & attrs
)
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Seed
Attrs Seed(
int64 x
)
Seed2
Attrs Seed2(
int64 x
)
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/random-shuffle