mindspore.ops.Igamma

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class mindspore.ops.Igamma[source]

Calculates lower regularized incomplete Gamma function.

Warning

This is an experimental API that is subject to change or deletion.

Refer to mindspore.ops.igamma() 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))
>>> igamma = ops.Igamma()
>>> output = igamma(a, x)
>>> print (output)
[0.593994  0.35276785  0.21486944  0.13337152]
>>> a = Tensor(2.1, mindspore.float32)
>>> x = Tensor(2.1, mindspore.float32)
>>> igamma = ops.Igamma()
>>> output = igamma(a, x)
>>> print (output)
0.5917439