cumsum¶

paddle.fluid.layers.ops. cumsum ( x, axis=None, exclusive=None, reverse=None ) [source]

alias_main

paddle.cumsum

alias

paddle.cumsum,paddle.tensor.cumsum,paddle.tensor.math.cumsum

old_api

paddle.fluid.layers.cumsum

The cumulative sum of the elements along a given axis. By default, the first element of the result is the same of the first element of the input. If exlusive is true, the first element of the result is 0.

Parameters

• x (Variable) – Input of cumsum operator, the Tensor/LoDTensor needed to be cumsumed.

• axis (int, optional) – The dimension to accumulate along. -1 means the last dimension. Default is -1.

• exclusive (bool, optional) – Whether to perform exclusive cumsum. Default is False.

• reverse (bool, optional) – If true, the cumsum is performed in the reversed direction. Default is False.

Returns

The result of cumsum operator, output of cumsum operator.

Return type

Variable(Tensor/LoDTensor)

Examples

import paddle.fluid as fluid
data = fluid.layers.data(name="input", shape=[32, 784])
result = fluid.layers.cumsum(data, axis=0)