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enuSpace-tensorflow Manual

RandomUniformInt

tensorflow C++ API

tensorflow::ops::RandomUniformInt

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.

RandomUniformInt block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_random.cpp

Argument:

  • Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
  • Input shape: connect Input node.
  • Input minval: connect Input node.
  • Input maxval: connect Input node.
  • RandomUniformInt::Attrs attrs : Input attrs in value. ex) seed_ = 0;seed2_ = 0;

Return:

  • Output output : Output object of RandomUniformInt class object.

Result:

  • std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method