mindspore.ops.gcd

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mindspore.ops.gcd(input, other)[source]

Computes greatest common divisor of input tensors element-wise. The shape of two inputs should be broadcastable, and data types should be one of: int16 (supported when using the Ascend backend, GRAPH mode is only supported when the graph compilation level is O0), int32, int64.

Warning

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

Parameters

  • input (Tensor) – The first input tensor.

  • other (Tensor) – The second input tensor.

Returns

Tensor, the shape is the same as the one after broadcasting, and the data type is one with higher precision in the two inputs.

Raises

  • TypeError – If data type input or other is not int32 or int64.

  • ValueError – If shapes of two inputs are not broadcastable.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([7, 8, 9]))
>>> other = Tensor(np.array([14, 6, 12]))
>>> y = ops.gcd(input, other)
>>> print(y)
[7 2 3]