mindspore.ops.CumSum

class mindspore.ops.CumSum(*args, **kwargs)[source]

Computes the cumulative sum of input tensor along axis.

\[y_i = x_1 + x_2 + x_3 + ... + x_i\]
Parameters

  • exclusive (bool) – If true, perform exclusive mode. Default: False.

  • reverse (bool) – If true, perform inverse cumulative sum. Default: False.

Inputs:

  • input (Tensor) - The input tensor to accumulate.

  • axis (int) - The axis to accumulate the tensor’s value. Only constant value is allowed. Must be in the range [-rank(input), rank(input)).

Outputs:

Tensor, the shape of the output tensor is consistent with the input tensor’s.

Raises

  • TypeError – If exclusive or reverse is not a bool.

  • TypeError – If axis is not an int.

Supported Platforms:

Ascend GPU CPU

Examples

>>> input = Tensor(np.array([[3, 4, 6, 10], [1, 6, 7, 9], [4, 3, 8, 7], [1, 3, 7, 9]]).astype(np.float32))
>>> cumsum = ops.CumSum()
>>> output = cumsum(input, 1)
>>> print(output)
[[ 3.  7. 13. 23.]
 [ 1.  7. 14. 23.]
 [ 4.  7. 15. 22.]
 [ 1.  4. 11. 20.]]