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).

Arguments:

• 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 or seed2 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.

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 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
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs Seed(
  int64 x
)

Attrs Seed2(
  int64 x
)