mindspore.Tensor.sub

Tensor.sub(y)[source]

Refer to mindspore.ops.sub() for more detail.

Parameters

y (Union[Tensor, number.Number, bool]) – The input, when the first input is a Tensor, the second input should be a number.Number or bool value, or a Tensor whose data type is number or bool_. When the first input is Scalar, the second input must be a 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 the inputs.

Raises

TypeError – If y is not a number.Number or a bool or a Tensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> x = Tensor(np.array([1, 2, 3]), mindspore.int32)
>>> y = Tensor(np.array([4, 5, 6]), mindspore.int32)
>>> output = x.sub(y)
>>> print(output)
[-3 -3 -3]