mindspore.Tensor.cumsum

Tensor.cumsum(axis=None, dtype=None)[source]

Return the cumulative sum of the elements along a given axis.

Note

If self.dtype is int8, int16 or bool, the result dtype will be elevated to int32, int64 is not supported.

Parameters

axis (int, optional) – Axis along which the cumulative sum is computed. The default (None) is to compute the cumsum over the flattened array.
dtype (mindspore.dtype, optional) – If not specified, stay the same as original tensor, unless it has an integer dtype with a precision less than float32. In that case, float32 is used. Default: None.

Returns

Tensor.

See also

mindspore.Tensor.sum(): Return sum of tensor elements over a given axis.

Raises: ValueError – If the axis is out of range.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor
>>> a = Tensor(np.ones((3,3)).astype("float32"))
>>> output = a.cumsum(axis=0)
>>> print(output)
[[1. 1. 1.]
[2. 2. 2.]
[3. 3. 3.]]