




"""simple docstring"""




from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def      __UpperCAmelCase     ( ):
			__lowercase			:  Union[str, Any]								=       HfArgumentParser(__UpperCamelCase	)
			__lowercase			:  int								=       parser.parse_args_into_dataclasses()[0]
			__lowercase			:  int								=       TensorFlowBenchmark(args=__UpperCamelCase	)
			try:
						__lowercase			:  str								=       parser.parse_args_into_dataclasses()[0]
			except ValueError as e:
						__lowercase			:  Optional[int]								=       '''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
						__lowercase			:  Any								=       ''' '''.join(str(__UpperCamelCase	).split(''' '''	)[:-1]	)
						__lowercase			:  int								=       ''''''
						__lowercase			:  List[str]								=       eval(str(__UpperCamelCase	).split(''' '''	)[-1]	)
						__lowercase			:  Any								=       []
						for arg in depreciated_args:
									# arg[2:] removes '--'
									if arg[2:] in TensorFlowBenchmark.deprecated_args:
												# arg[5:] removes '--no_'
												full_error_msg += arg_error_msg.format(arg[5:]	)
									else:
												wrong_args.append(__UpperCamelCase	)
						if len(__UpperCamelCase	) > 0:
									__lowercase			:  Union[str, Any]								=       full_error_msg + begin_error_msg + str(__UpperCamelCase	)
						raise ValueError(__UpperCamelCase	)
			benchmark.run()


if __name__ == "__main__":
			main()








import operator as op


lowerCamelCase		       =      """scaler.pt"""
lowerCamelCase		       =      """pytorch_model"""
lowerCamelCase		       =      """random_states"""
lowerCamelCase		       =      """optimizer"""
lowerCamelCase		       =      """scheduler"""
lowerCamelCase		       =      """pytorch_model.bin"""
lowerCamelCase		       =      """pytorch_model.bin.index.json"""
lowerCamelCase		       =      """model.safetensors"""
lowerCamelCase		       =      """model.safetensors.index.json"""
lowerCamelCase		       =      """1.10.2"""
lowerCamelCase		       =      """py38"""
lowerCamelCase		       =      """4.17.0"""
lowerCamelCase		       =      ["""ml.p3.16xlarge""", """ml.p3dn.24xlarge""", """ml.p4dn.24xlarge"""]
lowerCamelCase		       =      ["""FULL_SHARD""", """SHARD_GRAD_OP""", """NO_SHARD""", """HYBRID_SHARD""", """HYBRID_SHARD_ZERO2"""]
lowerCamelCase		       =      ["""TRANSFORMER_BASED_WRAP""", """SIZE_BASED_WRAP""", """NO_WRAP"""]
lowerCamelCase		       =      ["""BACKWARD_PRE""", """BACKWARD_POST""", """NO_PREFETCH"""]
lowerCamelCase		       =      ["""FULL_STATE_DICT""", """LOCAL_STATE_DICT""", """SHARDED_STATE_DICT"""]
lowerCamelCase		       =      """2.0.1"""
lowerCamelCase		       =      ["""pdsh""", """standard""", """openmpi""", """mvapich"""]
lowerCamelCase		       =      ["""default""", """reduce-overhead""", """max-autotune"""]

lowerCamelCase		       =      {""">""": op.gt, """>=""": op.ge, """==""": op.eq, """!=""": op.ne, """<=""": op.le, """<""": op.lt}

# These are the args for `torch.distributed.launch` for pytorch < 1.9
lowerCamelCase		       =      [
    """nnodes""",
    """nproc_per_node""",
    """rdzv_backend""",
    """rdzv_endpoint""",
    """rdzv_id""",
    """rdzv_conf""",
    """standalone""",
    """max_restarts""",
    """monitor_interval""",
    """start_method""",
    """role""",
    """module""",
    """m""",
    """no_python""",
    """run_path""",
    """log_dir""",
    """r""",
    """redirects""",
    """t""",
    """tee""",
    """node_rank""",
    """master_addr""",
    """master_port""",
]

lowerCamelCase		       =      ["""DEEPSPEED""", """MULTI_GPU""", """FSDP""", """MEGATRON_LM"""]
lowerCamelCase		       =      ["""DEEPSPEED""", """MULTI_XPU""", """FSDP"""]


