* are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *
   * This implementation uses a per-segment queue to record a memento of the additions, removals,

        "//tensorflow/lite:shared_library",
        "//tensorflow/lite:stateful_error_reporter",
        "//tensorflow/lite:string_util",
        "//tensorflow/lite:util",
        "//tensorflow/python/grappler:cost_analyzer_lib",
        "//tensorflow/tools/graph_transforms:transform_graph_lib",
    ] + select({
        "//tensorflow/compiler/mlir/python:disable_mlir_config": [],
        "//conditions:default": [

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