including complex types (if supported): `tf.math.segment_prod`,
        `tf.math.segment_sum`, `tf.math.unsorted_segment_mean`,
        `tf.math.unsorted_segment_sqrt_n`, `tf.math.unsorted_segment_prod`,
        `tf.math.unsorted_segment_sum`, and therefore also
        `tf.convert_to_tensor` when `value` is of type `tf.IndexedSlices` (such
        as in the back prop though `tf.gather` into a dense embedding). See

#     flag_values = {":tf_no_prod_deps": "True"},
# )
#
# selects.config_setting_group(
#     name = "no_prod_deps",
#     match_any = [
#         ":no_prod_deps_define",
#         ":no_prod_deps_flag",
#     ],
# )
#
# config_setting(
#     name = "no_prod_deps_cuda",
#     define_values = {
#         "tf_no_prod_deps": "1",
#         "GOOGLE_CUDA_COMPILER": "clang",
#     },

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