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path_tuple_to_string() -> path_tuple_to_string_cached(): Optimizing Regex Operations with Caching
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@ -125,6 +125,14 @@ def load_tensors(shaped_arrays, directory, mesh_config, tensor_indices=None):
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return results
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"""
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For path_tuple_to_string(),
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introducing a simple caching mechanism to avoid recomputing regex matches for paths that have already been processed.
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"""
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@lru_cache(maxsize=32) # Set maxsize to 32MB
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def path_tuple_to_string_cached(path: tuple) -> str:
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return path_tuple_to_string(path=path)
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def path_tuple_to_string(path: tuple) -> str:
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pieces = []
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for elem in path:
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@ -184,13 +192,13 @@ def replace_with_load_state(
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) -> Any:
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flatten_load, _ = jax.tree_util.tree_flatten_with_path(load_state)
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flatten_init, structure_init = jax.tree_util.tree_flatten_with_path(init_state)
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load_map = {path_tuple_to_string(path): tensor for path, tensor in flatten_load}
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load_map = {path_tuple_to_string_cached(path): tensor for path, tensor in flatten_load}
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replaced = []
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num_replicas = 1
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data_model_shards = math.prod(mesh_config)
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for i, (init_path, tensor) in enumerate(flatten_init):
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init_path_str = path_tuple_to_string(init_path)
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init_path_str = path_tuple_to_string_cached(init_path)
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load_path_str = get_load_path_str_cached(init_path_str, load_rename_rules, load_exclude_rules)
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if load_path_str is None:
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rank_logger.info(f"Excluded from restore: {init_path_str}.")
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