cunumeric.row_stack#

cunumeric.row_stack(tup: Sequence[ndarray]) ndarray#

Stack arrays in sequence vertically (row wise).

This is equivalent to concatenation along the first axis after 1-D arrays of shape (N,) have been reshaped to (1,N). Rebuilds arrays divided by vsplit.

This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions concatenate, stack and block provide more general stacking and concatenation operations.

Parameters:

tup (Sequence[ndarray]) – The arrays must have the same shape along all but the first axis. 1-D arrays must have the same length.

Returns:

stacked – The array formed by stacking the given arrays, will be at least 2-D.

Return type:

ndarray

See also

numpy.vstack

Availability:

Multiple GPUs, Multiple CPUs