mindspore.Tensor.minimum

Tensor.minimum(other)[source]

Computes the minimum of self and input tensor element-wise.

Note

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

  • other must be tensor or scalar.

  • When other is also tensor, dtypes of self and other cannot be bool at the same time.

  • When other is scalar, the scalar could only be a constant.

  • Shapes of self and other are supposed to be broadcast.

  • If one of the elements being compared is a NaN, then that element is returned.

\[output_i = min(x_i, y_i)\]
Parameters

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

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

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor
>>> x = Tensor(np.array([1.0, 5.0, 3.0]), mindspore.float32)
>>> y = Tensor(np.array([4.0, 2.0, 6.0]), mindspore.float32)
>>> out = x.minimum(y)
>>> print(out)
[1. 2. 3.]