mindspore.Tensor.ptp
- Tensor.ptp(axis=None, keepdims=False)[source]
The name of the function comes from the acronym for "peak to peak". Calculate the difference between the maximum value and the minimum value along the axis.
Note
Numpy argument out is not supported.
- Parameters
axis (Union[None, int, tuple(int)]) – Axis or axes along which the range is computed. The default is to compute the variance of the flattened tensor. Default:
None
.keepdims (bool) – If this is set to
True
, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the tensor. Default isFalse
.
- Returns
Tensor.
- Raises
TypeError – If self is not a tensor, or axis and keepdims have types not specified above.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> from mindspore import Tensor >>> x = Tensor([[4.0, 9.0, 2.0, 10.0], [6.0, 9.0, 7.0, 12.0]]).astype("float32") >>> print(x.ptp(axis=1)) [8. 6.] >>> print(x.ptp(axis=0)) [2. 0. 5. 2.]