RandomUniform

tensorflow C++ API

tensorflow::ops::RandomUniform

Outputs random values from a uniform distribution.

Summary

The generated values follow a uniform distribution in the range [0, 1). The lower bound 0 is included in the range, while the upper bound 1 is excluded.

Arguments:

• scope: A Scope object
• shape: The shape of the output tensor.
• dtype: The type of the output.

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 values.

RandomUniform 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.
• DataType dtype: Input DataType in Value. ex)DT_DOUBLE;
• RandomUniform::Attrs attrs : Input attrs in value. ex) seed_ = 0;seed2_ = 0;

Return:

• Output output : Output object of RandomUniform class object.

Result:

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

Using Method