jax.numpy.unravel_index(indices, shape)[source]

Converts a flat index or array of flat indices into a tuple of coordinate arrays.

LAX-backend implementation of unravel_index(). Unlike numpy’s implementation of unravel_index, negative indices are accepted and out-of-bounds indices are clipped.

Original docstring below.

unravel_index(indices, shape, order=’C’)

  • indices (array_like) – An integer array whose elements are indices into the flattened version of an array of dimensions shape. Before version 1.6.0, this function accepted just one index value.

  • shape (tuple of ints) – The shape of the array to use for unraveling indices.


unraveled_coords – Each array in the tuple has the same shape as the indices array.

Return type

tuple of ndarray


>>> np.unravel_index([22, 41, 37], (7,6))
(array([3, 6, 6]), array([4, 5, 1]))
>>> np.unravel_index([31, 41, 13], (7,6), order='F')
(array([3, 6, 6]), array([4, 5, 1]))
>>> np.unravel_index(1621, (6,7,8,9))
(3, 1, 4, 1)