jax.numpy.ogrid#

jax.numpy.ogrid=<jax._src.numpy.index_tricks._Ogridobject>#

Return open multi-dimensional “meshgrid”.

LAX-backend implementation ofnumpy.ogrid. This is a convenience wrapper forfunctionality provided byjax.numpy.meshgrid() withsparse=True.

See also

jnp.mgrid: dense version of jnp.ogrid

Examples

Pass[start:stop:step] to generate values similar tojax.numpy.arange():

>>>jnp.ogrid[0:4:1]Array([0, 1, 2, 3], dtype=int32)

Passing an imaginary step generates values similar tojax.numpy.linspace():

>>>jnp.ogrid[0:1:4j]Array([0.        , 0.33333334, 0.6666667 , 1.        ], dtype=float32)

Multiple slices can be used to create sparse grids of indices:

>>>jnp.ogrid[:2,:3][Array([[0],        [1]], dtype=int32), Array([[0, 1, 2]], dtype=int32)]