mindspore.ops.RandomChoiceWithMask

class mindspore.ops.RandomChoiceWithMask(count=256, seed=0, seed2=0)[source]

Generates a random sample as index tensor with a mask tensor from a given tensor.

Refer to mindspore.ops.choice_with_mask() for more details.

Parameters

  • count (int, optional) – Number of items expected to get and the number must be greater than 0. Default: 256.

  • seed (int, optional) – Seed is used as entropy source for Random number engines generating pseudo-random numbers. Default: 0.

  • seed2 (int, optional) – Second seed to avoid collision. Default: 0.

Inputs:

  • input_x (Tensor[bool]) - The input tensor. The input tensor rank must be greater than or equal to 1 and less than or equal to 5.

Outputs:

Two tensors, the first one is the index tensor and the other one is the mask tensor.

  • index (Tensor) - The output shape is 2-D.

  • mask (Tensor) - The output shape is 1-D.

Supported Platforms:

Ascend GPU CPU

Examples

>>> rnd_choice_mask = ops.RandomChoiceWithMask()
>>> input_x = Tensor(np.ones(shape=[240000, 4]).astype(np.bool))
>>> output_y, output_mask = rnd_choice_mask(input_x)
>>> result = output_y.shape
>>> print(result)
(256, 2)
>>> result = output_mask.shape
>>> print(result)
(256,)