jax.numpy.ravel_multi_index

jax.numpy.ravel_multi_index(multi_index, dims, mode='raise', order='C')

Converts a tuple of index arrays into an array of flat

LAX-backend implementation of ravel_multi_index().

Original docstring below.

indices, applying boundary modes to the multi-index.

Parameters

• multi_index (tuple of array_like) – A tuple of integer arrays, one array for each dimension.

• dims (tuple of ints) – The shape of array into which the indices from multi_index apply.

• mode ({'raise', 'wrap', 'clip'}, optional) –

  Specifies how out-of-bounds indices are handled. Can specify either one mode or a tuple of modes, one mode per index.

  • ’raise’ – raise an error (default)

  • ’wrap’ – wrap around

  • ’clip’ – clip to the range

  In ‘clip’ mode, a negative index which would normally wrap will clip to 0 instead.

• order ({'C', 'F'}, optional) – Determines whether the multi-index should be viewed as indexing in row-major (C-style) or column-major (Fortran-style) order.

Returns

raveled_indices – An array of indices into the flattened version of an array of dimensions dims.

Return type

ndarray