mindspore.Tensor.mul

Tensor.mul(other) → Tensor

Multiplies two tensors element-wise.

\[out_{i} = tensor_{i} * other_{i}\]

Note

  • When self and other have different shapes, they must be able to broadcast to a common shape.

  • self and other can not be bool type at the same time, [True, Tensor(True, bool_), Tensor(np.array([True]), bool_)] are all considered bool type.

  • self and other comply with the implicit type conversion rules to make the data types consistent.

Parameters

other (Union[Tensor, number.Number, bool]) – other is a number.Number or a bool or a tensor whose data type is number.Number and bool.

Returns

Tensor, the shape is the same as the one after broadcasting, and the data type is the one with higher precision or higher digits among self and other .

Raises

  • TypeError – If other is not one of the following: Tensor, number.Number, bool.

  • ValueError – If self and other are not the same shape.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor
>>> x = Tensor(np.array([1.0, 2.0, 3.0]), mindspore.float32)
>>> y = Tensor(np.array([4.0, 5.0, 6.0]), mindspore.float32)
>>> output = x.mul(y)
>>> print(output)
[ 4. 10. 18.]