"""simple docstring"""







import argparse

import runhouse as rh
import torch
from nlp_example import training_function

from accelerate.utils import PrepareForLaunch, patch_environment
def     __UpperCAmelCase							(       *UpperCAmelCase_       :							List[str]    )				->     List[Any]:

	'''simple docstring'''





	__snake_case     :				Tuple 						=					torch.cuda.device_count()
	print(F"Device count: {num_processes}"    )
	with patch_environment(
	    world_size=UpperCAmelCase_     ,				master_addr='127.0.01'     ,				master_port='29500'     ,				mixed_precision=args[1].mixed_precision    ):
		__snake_case     :				Dict 						=					PrepareForLaunch(UpperCAmelCase_     ,				distributed_type='MULTI_GPU'    )
		torch.multiprocessing.start_processes(UpperCAmelCase_     ,				args=UpperCAmelCase_     ,				nprocs=UpperCAmelCase_     ,				start_method='spawn'    )


if __name__ == "__main__":
	# Refer to https://runhouse-docs.readthedocs-hosted.com/en/main/rh_primitives/cluster.html#hardware-setup
	# for cloud access setup instructions (if using on-demand hardware), and for API specifications.

	# on-demand GPU
	# gpu = rh.cluster(name='rh-cluster', instance_type='V100:1', provider='cheapest', use_spot=False)  # single GPU
	_a	:	List[Any]=					rh.cluster(name="rh-cluster", instance_type="V100:4", provider="cheapest", use_spot=False)  # multi GPU
	gpu.up_if_not()

	# on-prem GPU
	# gpu = rh.cluster(
	#           ips=["ip_addr"], ssh_creds={ssh_user:"<username>", ssh_private_key:"<key_path>"}, name="rh-cluster"
	#       )

	# Set up remote function
	_a	:	Any=					[
	    "pip:./",
	    "transformers",
	    "datasets",
	    "evaluate",
	    "tqdm",
	    "scipy",
	    "scikit-learn",
	    "tensorboard",
	    "torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117",
	]
	_a	:	Optional[Any]=					rh.function(fn=launch_train, system=gpu, reqs=reqs, name="train_bert_glue")

	# Define train args/config, run train function
	_a	:	List[Any]=					argparse.Namespace(cpu=False, mixed_precision="fp16")
	_a	:	Dict=					{"lr": 2e-5, "num_epochs": 3, "seed": 42, "batch_size": 16}
	launch_train_gpu(config, train_args, stream_logs=True)

	# Alternatively, we can just run as instructed in the README (but only because there's already a wrapper CLI):
	# gpu.install_packages(reqs)
	# gpu.run(['accelerate launch --multi_gpu accelerate/examples/nlp_example.py'])






"""simple docstring"""







import math
def     __UpperCAmelCase							(       UpperCAmelCase_       :							int    )				->     str:

	'''simple docstring'''





	if number == 0:
		__snake_case     :				Any 						=					'Zero'
		return words
	else:
		__snake_case     :				Optional[Any] 						=					math.logaa(UpperCAmelCase_    )
		__snake_case     :				Optional[Any] 						=					digits + 1
		__snake_case     :				List[str] 						=					{}
		__snake_case     :				List[str] 						=					''
		__snake_case     :				Any 						=					'One'
		__snake_case     :				List[str] 						=					'Two'
		__snake_case     :				Tuple 						=					'Three'
		__snake_case     :				str 						=					'Four'
		__snake_case     :				int 						=					'Five'
		__snake_case     :				Optional[Any] 						=					'Six'
		__snake_case     :				str 						=					'Seven'
		__snake_case     :				Optional[Any] 						=					'Eight'
		__snake_case     :				Tuple 						=					'Nine'

		__snake_case     :				Tuple 						=					{}
		__snake_case     :				Optional[int] 						=					''
		__snake_case     :				str 						=					'Twenty'
		__snake_case     :				List[str] 						=					'Thirty'
		__snake_case     :				str 						=					'Forty'
		__snake_case     :				Union[str, Any] 						=					'Fifty'
		__snake_case     :				str 						=					'Sixty'
		__snake_case     :				Tuple 						=					'Seventy'
		__snake_case     :				Dict 						=					'Eighty'
		__snake_case     :				Optional[Any] 						=					'Ninety'

		__snake_case     :				List[Any] 						=					{}
		__snake_case     :				Optional[Any] 						=					'Ten'
		__snake_case     :				List[str] 						=					'Eleven'
		__snake_case     :				Any 						=					'Twelve'
		__snake_case     :				Tuple 						=					'Thirteen'
		__snake_case     :				Tuple 						=					'Fourteen'
		__snake_case     :				Optional[int] 						=					'Fifteen'
		__snake_case     :				Any 						=					'Sixteen'
		__snake_case     :				int 						=					'Seventeen'
		__snake_case     :				Dict 						=					'Eighteen'
		__snake_case     :				List[Any] 						=					'Nineteen'

		__snake_case     :				List[Any] 						=					{}
		__snake_case     :				List[Any] 						=					'Hundred,'
		__snake_case     :				Union[str, Any] 						=					'Thousand,'
		__snake_case     :				List[Any] 						=					'Lakh,'
		__snake_case     :				List[Any] 						=					'Crore,'

		__snake_case     :				List[Any] 						=					number
		__snake_case     :				List[Any] 						=					''
		__snake_case     :				List[Any] 						=					0
		__snake_case     :				Union[str, Any] 						=					int(UpperCAmelCase_    )
		while counter < digits:
			__snake_case     :				List[str] 						=					temp_num % 10
			if counter % 2 == 0:
				__snake_case     :				Tuple 						=					''
				if counter in placevalue and current != 0:
					__snake_case     :				List[str] 						=					placevalue[counter]
				if counter == 2:
					__snake_case     :				Dict 						=					singles[current] + addition + words
				elif counter == 0:
					if ((temp_num % 1_00) // 10) == 1:
						__snake_case     :				Dict 						=					teens[current] + addition + words
						__snake_case     :				Dict 						=					temp_num // 10
						counter += 1
					else:
						__snake_case     :				Optional[Any] 						=					singles[current] + addition + words

				else:
					__snake_case     :				Any 						=					doubles[current] + addition + words

			else:
				if counter == 1:
					if current == 1:
						__snake_case     :				Dict 						=					teens[number % 10] + words
					else:
						__snake_case     :				Optional[int] 						=					''
						if counter in placevalue:
							__snake_case     :				Dict 						=					placevalue[counter]
						__snake_case     :				Union[str, Any] 						=					doubles[current] + addition + words
				else:
					__snake_case     :				List[Any] 						=					''
					if counter in placevalue:
						if current == 0 and ((temp_num % 1_00) // 10) == 0:
							__snake_case     :				Optional[Any] 						=					''
						else:
							__snake_case     :				Any 						=					placevalue[counter]
					if ((temp_num % 1_00) // 10) == 1:
						__snake_case     :				int 						=					teens[current] + addition + words
						__snake_case     :				Any 						=					temp_num // 10
						counter += 1
					else:
						__snake_case     :				List[str] 						=					singles[current] + addition + words
			counter += 1
			__snake_case     :				str 						=					temp_num // 10
	return words


if __name__ == "__main__":
	import doctest

	doctest.testmod()





