cupy.ogrid = <cupy.creation.ranges.nd_grid object>

Construct a multi-dimensional “meshgrid”.

grid = nd_grid() creates an instance which will return a mesh-grid when indexed. The dimension and number of the output arrays are equal to the number of indexing dimensions. If the step length is not a complex number, then the stop is not inclusive.

However, if the step length is a complex number (e.g. 5j), then the integer part of its magnitude is interpreted as specifying the number of points to create between the start and stop values, where the stop value is inclusive.

If instantiated with an argument of sparse=True, the mesh-grid is open (or not fleshed out) so that only one-dimension of each returned argument is greater than 1.

Parameters:sparse (bool, optional) – Whether the grid is sparse or not. Default is False.

See also

numpy.mgrid and numpy.ogrid