mindspore.numpy.cumsum

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mindspore.numpy.cumsum(a, axis=None, dtype=None)[source]

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

Note

If a.dtype is int8, int16 or bool, the result dtype will be elevated to int32.

Parameters

  • a (Tensor) – Input tensor.

  • 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 a, unless a has an integer dtype with a precision less than that of the default platform integer. In that case, the default platform integer is used. Default: None .

Returns

Tensor.

Raises

  • TypeError – If input arguments have types not specified above.

  • ValueError – If axis is out of range.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.cumsum(np.ones((3,3)), axis=0)
>>> print(output)
[[1. 1. 1.]
 [2. 2. 2.]
 [3. 3. 3.]]