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mindspore.ops.igammac

mindspore.ops.igammac(input, other)

Calculates upper regularized incomplete Gamma function.

If we define input as a and other as x, the upper regularized incomplete Gamma function is defined as:

$$Q(a,x)=Gamma(a,x)/Gamma(a)=1-P(a,x)$$

where

$$Gamma(a,x)={\int }_x^{\mathrm{\infty }}{t}^{a-1}exp(-t)dt$$

is the upper incomplete Gama function.

Above $P(a,x)$ is the lower regularized complete Gamma function.

Warning

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

Parameters

• input (Tensor) – The first input tensor. With type of float32 or float64.

• other (Tensor) – The second input tensor. With float32 or float64 type. other should have the same dtype with input.

Returns

Tensor, has the same dtype as input and other.

Raises

• TypeError – If input or other is not a Tensor.

• TypeError – If dtype of input other and a is not float32 nor float64.

• TypeError – If other has different dtype with input.

• ValueError – If input could not be broadcast to a tensor with shape of other.

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))
>>> output = ops.igammac(a, x)
>>> print (output)
[0.40600586 0.6472318 0.7851304 0.8666283]