Cumulative sum of elements along an axis.
JAX implementation of numpy.cumsum()
.
a (ArrayLike) – N-dimensional array to be accumulated.
axis (int | None) – integer axis along which to accumulate. If None (default), then array will be flattened and accumulated along the flattened axis.
dtype (DTypeLike | None) – optionally specify the dtype of the output. If not specified, then the output dtype will match the input dtype.
out (None) – unused by JAX
An array containing the accumulated sum along the given axis.
Examples
>>> x = jnp.array([[1, 2, 3], ... [4, 5, 6]]) >>> jnp.cumsum(x) # flattened cumulative sum Array([ 1, 3, 6, 10, 15, 21], dtype=int32) >>> jnp.cumsum(x, axis=1) # cumulative sum along axis 1 Array([[ 1, 3, 6], [ 4, 9, 15]], dtype=int32)
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