mindspore.ops.Igammac

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class mindspore.ops.Igammac[source]

Compute the upper regularized incomplete Gamma function Q(a, x).

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

Inputs:

  • a (Tensor) - The input tensor.

  • x (Tensor) - The input tensor. It should have the same dtype with a.

Outputs:

Tensor, has the same dtype as a and x.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> a = Tensor(np.array([2.0, 4.0, 6.0, 8.0]).astype(np.float32))
>>> x = Tensor(np.array([2.0, 3.0, 4.0, 5.0]).astype(np.float32))
>>> igammac = ops.Igammac()
>>> output = igammac(a, x)
>>> print (output)
[0.40600586 0.6472318  0.7851304  0.8666283 ]
>>> a = Tensor(2.1, mindspore.float32)
>>> x = Tensor(2.1, mindspore.float32)
>>> igammac = ops.Igammac()
>>> output = igammac(a, x)
>>> print (output)
0.40825662