RandomShuffle

tensorflow C++ API

tensorflow::ops::RandomShuffle

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]] ```

Arguments:

• scope: A Scope object
• value: The tensor to be shuffled.

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 same shape and type as value, shuffled along its first dimension.

RandomShuffle 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;
• RandomShuffle ::Attrs attrs : Input attrs in value. ex) seed_ = 0;seed2_ = 0;

Return:

• Output output : Output object of RandomNormal class object.

Result:

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

Using Method