"batch" dimension (0) such that in the output, the spatial dimensions
`[1, ..., M]` correspond to the position within the grid, and the batch
dimension combines both the position within a spatial block and the original
batch position.  Prior to division into blocks, the spatial dimensions of the
input are optionally zero padded according to `paddings`. See below for a
precise description.

    *   Add functionality to SubSlice a tensor.
    *   Add searchsorted (ie lower/upper_bound) op.
    *   Add model explainability to Boosted Trees.
    *   Support negative positions for tf.substr.
    *   There was previously a bug in the bijector_impl where the
        _reduce_jacobian_det_over_event does not handle scalar ILDJ
        implementations properly.

sub-field or item. The string will follow one of these four formats: 'f:<name>', where <name> is the name of a field in a struct, or key in a map 'v:<value>', where <value> is the exact json formatted value of a list item 'i:<index>', where <index> is position of a item in a list 'k:<keys>', where <keys> is a map of  a list item's key fields to their unique values If a key maps to an empty Fields value, the field that key represents is part of the set.\n\nThe exact format is defined in sigs.k8s.io/str...

sub-field or item. The string will follow one of these four formats: 'f:<name>', where <name> is the name of a field in a struct, or key in a map 'v:<value>', where <value> is the exact json formatted value of a list item 'i:<index>', where <index> is position of a item in a list 'k:<keys>', where <keys> is a map of  a list item's key fields to their unique values If a key maps to an empty Fields value, the field that key represents is part of the set.\n\nThe exact format is defined in sigs.k8s.io/str...