tensorflow::
ops::
RandomUniformInt
#include <random_ops.h>
Outputs random integers from a uniform distribution.
Summary
The generated values are uniform integers in the range
[minval, maxval)
. The lower bound
minval
is included in the range, while the upper bound
maxval
is excluded.
The random integers are slightly biased unless
maxval - minval
is an exact power of two. The bias is small for values of
maxval - minval
significantly smaller than the range of the output (either
2^32
or
2^64
).
Args:
- scope: A Scope object
- shape: The shape of the output tensor.
- minval: 0-D. Inclusive lower bound on the generated integers.
- maxval: 0-D. Exclusive upper bound on the generated integers.
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 the specified shape filled with uniform random integers.
Constructors and Destructors |
|
---|---|
RandomUniformInt
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
shape, ::
tensorflow::Input
minval, ::
tensorflow::Input
maxval)
|
|
RandomUniformInt
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
shape, ::
tensorflow::Input
minval, ::
tensorflow::Input
maxval, const
RandomUniformInt::Attrs
& attrs)
|
Public attributes |
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operation
|
|
output
|
Public functions |
|
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node
() const
|
::tensorflow::Node *
|
operator::tensorflow::Input
() const
|
|
operator::tensorflow::Output
() const
|
|
Public static functions |
|
---|---|
Seed
(int64 x)
|
|
Seed2
(int64 x)
|
Structs |
|
---|---|
tensorflow::
|
Optional attribute setters for RandomUniformInt . |
Public attributes
Public functions
RandomUniformInt
RandomUniformInt( const ::tensorflow::Scope & scope, ::tensorflow::Input shape, ::tensorflow::Input minval, ::tensorflow::Input maxval )
RandomUniformInt
RandomUniformInt( const ::tensorflow::Scope & scope, ::tensorflow::Input shape, ::tensorflow::Input minval, ::tensorflow::Input maxval, const RandomUniformInt::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const