



import os
from argparse import ArgumentParser
from typing import List

import torch.utils.data

from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node


lowerCamelCase		       =      4
lowerCamelCase		       =      3


class 				_a						(       SCREAMING_SNAKE_CASE			):





							'''simple docstring'''

							pass






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						List[Any]:
				for shard in shards:
								for i in range(__UpperCamelCase ):
												yield {"i": i, "shard": shard}






def     SCREAMING_SNAKE_CASE(      )	->						List[Any]:
				a__	:							str      						= int(os.environ["RANK"] )
				a__	:							Dict      						= int(os.environ["WORLD_SIZE"] )

				a__	:							List[Any]      						= ArgumentParser()
				parser.add_argument("--streaming"	,				type=__UpperCamelCase )
				parser.add_argument("--local_rank"	,				type=__UpperCamelCase )
				parser.add_argument("--num_workers"	,				type=__UpperCamelCase	,				default=0 )
				a__	:							Optional[int]      						= parser.parse_args()
				a__	:							List[str]      						= args.streaming
				a__	:							Any      						= args.num_workers

				a__	:							Optional[Any]      						= {"shards": [F'shard_{shard_idx}' for shard_idx in range(__UpperCamelCase )]}
				a__	:							Optional[int]      						= IterableDataset.from_generator(__UpperCamelCase	,				gen_kwargs=__UpperCamelCase )
				if not streaming:
								a__	:							Any      						= Dataset.from_list(list(__UpperCamelCase ) )

				a__	:							Dict      						= split_dataset_by_node(__UpperCamelCase	,				rank=__UpperCamelCase	,				world_size=__UpperCamelCase )
				a__	:							Tuple      						= torch.utils.data.DataLoader(__UpperCamelCase	,				num_workers=__UpperCamelCase )

				a__	:							Optional[Any]      						= NUM_SHARDS * NUM_ITEMS_PER_SHARD
				a__	:							Dict      						= full_size // world_size
				expected_local_size += int(rank < (full_size % world_size) )

				a__	:							List[Any]      						= sum(1 for _ in dataloader )
				if local_size != expected_local_size:
								raise FailedTestError(F'local_size {local_size} != expected_local_size {expected_local_size}' )


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"""]


