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]]
Args:
- 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 |
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RandomShuffle(const ::tensorflow::Scope & scope, ::tensorflow::Input value)
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RandomShuffle(const ::tensorflow::Scope & scope, ::tensorflow::Input value, const RandomShuffle::Attrs & attrs)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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Seed(int64 x)
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Seed2(int64 x)
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Structs |
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tensorflow:: |
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 )