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]