semantics to match NumPy. * `tf.split` now takes arguments in a reversed order
and with different keywords. In particular, we now match NumPy order as
`tf.split(value, num_or_size_splits, axis)`. * `tf.sparse_split` now takes
arguments in reversed order and with different keywords. In particular we now
match NumPy order as `tf.sparse_split(sp_input, num_split, axis)`. NOTE: we have

# Do not sort: Copybara rule
# copybara:uncomment_begin
# # buildifier: disable=out-of-order-load
# load("//devtools/build_cleaner/skylark:action_config_test.bzl", "action_config_test")
# load("//devtools/copybara/rules:copybara.bzl", "copybara_config_test")
# load("@rules_license//rules:license.bzl", "license")
# # buildifier: enable=out-of-order-load
# copybara:uncomment_end

# copybara:comment_begin(oss-only)

              "Internal state of the gradient tape is invalid: "
              "none of operations outputs match expected tensor");
        }
      } else {
        // This target tensor was not generated by any operation recorded on
        // the tape, so no gradient needs to be computed from it unless this
        // target is also a source.
        auto source_tensor = sources_that_are_targets.find(id);