mindspore.ops.Lcm
- class mindspore.ops.Lcm[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.
Warning
This is an experimental API that is subject to change or deletion.
- Inputs:
x1 (Tensor) - The first input tensor.
x2 (Tensor) - The second input tensor.
- Outputs:
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:
Ascend
GPU
CPU
Examples
>>> import numpy as np >>> from mindspore import Tensor, ops >>> x1 = Tensor(np.array([7, 8, 9])) >>> x2 = Tensor(np.array([14, 6, 12])) >>> lcm_ = ops.Lcm() >>> y = lcm_(x1, x2) >>> print(y) [14 24 36]