mindspore.ops.gamma

mindspore.ops.gamma(shape, alpha, beta, seed=None)[source]

Generates random numbers according to the Gamma random number distribution.

Parameters

  • shape (tuple) – The shape of random tensor to be generated.

  • alpha (Tensor) – The alpha α distribution parameter. It should be greater than 0 with float32 data type.

  • beta (Tensor) – The beta β distribution parameter. It should be greater than 0 with float32 data type.

  • seed (int) – Seed is used as entropy source for the random number engines to generate pseudo-random numbers, must be non-negative. Default: None, which will be treated as 0.

Returns

Tensor. The shape should be equal to the broadcasted shape between the input “shape” and shapes of alpha and beta. The dtype is float32.

Raises

  • TypeError – If shape is not a tuple.

  • TypeError – If neither alpha nor beta is a Tensor.

  • TypeError – If seed is not an int.

  • TypeError – If dtype of alpha and beta is not float32.

Supported Platforms:

Ascend

Examples

>>> from mindspore import Tensor
>>> import mindspore.ops.composite as C
>>> from mindspore.common import dtype as mstype
>>> shape = (3, 1, 2)
>>> alpha = Tensor(np.array([[3, 4], [5, 6]]), mstype.float32)
>>> beta = Tensor(np.array([1.0]), mstype.float32)
>>> output = C.gamma(shape, alpha, beta, seed=5)
>>> result = output.shape
>>> print(result)
(3, 2, 2)