- jax.numpy.cumsum(a, axis=None, dtype=None, out=None)#
Return the cumulative sum of the elements along a given axis.
LAX-backend implementation of
Unlike the numpy counterpart, when
dtypeis not specified the output dtype will always match the dtype of the input.
Original docstring below.
a (array_like) – Input array.
axis (int, optional) – Axis along which the cumulative sum is computed. The default (None) is to compute the cumsum over the flattened array.
dtype (dtype, optional) – Type of the returned array and of the accumulator in which the elements are summed. If dtype is not specified, it defaults to the dtype of 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.
cumsum_along_axis – A new array holding the result is returned unless out is specified, in which case a reference to out is returned. The result has the same size as a, and the same shape as a if axis is not None or a is a 1-d array.
- Return type: