mindspore.ops.lcm

mindspore.ops.lcm(x1, x2)[source]

Computes least common multiplier of input tensors element-wise. The shape of two inputs should be broadcastable, and data type of them should be one of: int32, int64

Parameters

  • x1 (Tensor) – The first input tensor.

  • x2 (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 digits in the two inputs.

Raises

  • TypeError – If data type x1 or x2 is not int32 or int64.

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

Supported Platforms:

GPU CPU

Examples

>>> x1 = Tensor(np.array([7, 8, 9]))
>>> x2 = Tensor(np.array([14, 6, 12]))
>>> y = ops.lcm(x1, x2)
>>> print(y)
[14 24 36]