


import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict



@dataclass
class 							A   (	SCREAMING_SNAKE_CASE__							):
					'''simple docstring'''






					A__      =			ComputeEnvironment.AMAZON_SAGEMAKER
					A__      =			True
					A__      =			'''ml.p3.2xlarge'''
					A__      =			'''accelerate_sagemaker_execution_role'''
					A__      =			'''hf-sm'''
					A__      =			'''us-east-1'''
					A__      =			1
					A__      =			'''accelerate-sagemaker-1'''
					A__      =			'''1.6'''
					A__      =			'''4.4'''
					A__      =			'''train.py'''
					A__      =			[
					    '''--model_name_or_path''',
					    '''bert''',
					    '''--do_train''',
					    '''False''',
					    '''--epochs''',
					    '''3''',
					    '''--learning_rate''',
					    '''5e-5''',
					    '''--max_steps''',
					    '''50.5''',
					]
					A__      =			[
					    '''--model_name_or_path''',
					    '''bert''',
					    '''--do_train''',
					    '''--do_test''',
					    '''False''',
					    '''--do_predict''',
					    '''--epochs''',
					    '''3''',
					    '''--learning_rate''',
					    '''5e-5''',
					    '''--max_steps''',
					    '''50.5''',
					]






class 							A   (	unittest.TestCase							):
					'''simple docstring'''






					def   lowerCamelCase__					(self   :						str		)						->       int:




							"""simple docstring"""


							lowercase__					      =		_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args		)
							assert isinstance(converted_args["""model_name_or_path"""]				, _UpperCAmelCase		)
							assert isinstance(converted_args["""do_train"""]				, _UpperCAmelCase		)
							assert isinstance(converted_args["""epochs"""]				, _UpperCAmelCase		)
							assert isinstance(converted_args["""learning_rate"""]				, _UpperCAmelCase		)
							assert isinstance(converted_args["""max_steps"""]				, _UpperCAmelCase		)

							with pytest.raises(_UpperCAmelCase		):
									_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args		)






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A	:		Optional[Any]    =       logging.get_logger(__name__)

A	:		Tuple    =       {
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			'''convbert'''

					def __init__(self   :						str				, _UpperCAmelCase   :						Union[str, Any]=3_0522				, _UpperCAmelCase   :						Dict=768				, _UpperCAmelCase   :						Optional[int]=12				, _UpperCAmelCase   :						List[str]=12				, _UpperCAmelCase   :						str=3072				, _UpperCAmelCase   :						Tuple="gelu"				, _UpperCAmelCase   :						Optional[int]=0.1				, _UpperCAmelCase   :						int=0.1				, _UpperCAmelCase   :						str=512				, _UpperCAmelCase   :						Dict=2				, _UpperCAmelCase   :						int=0.02				, _UpperCAmelCase   :						Tuple=1E-1_2				, _UpperCAmelCase   :						Dict=1				, _UpperCAmelCase   :						Optional[Any]=0				, _UpperCAmelCase   :						List[str]=2				, _UpperCAmelCase   :						str=768				, _UpperCAmelCase   :						List[Any]=2				, _UpperCAmelCase   :						Optional[Any]=9				, _UpperCAmelCase   :						List[Any]=1				, _UpperCAmelCase   :						Union[str, Any]=None				, **_UpperCAmelCase   :						List[Any]				, )						->       List[str]:




							"""simple docstring"""


							super().__init__(
							    pad_token_id=_UpperCAmelCase				, bos_token_id=_UpperCAmelCase				, eos_token_id=_UpperCAmelCase				, **_UpperCAmelCase				, )

							lowercase__					      =		vocab_size
							lowercase__					      =		hidden_size
							lowercase__					      =		num_hidden_layers
							lowercase__					      =		num_attention_heads
							lowercase__					      =		intermediate_size
							lowercase__					      =		hidden_act
							lowercase__					      =		hidden_dropout_prob
							lowercase__					      =		attention_probs_dropout_prob
							lowercase__					      =		max_position_embeddings
							lowercase__					      =		type_vocab_size
							lowercase__					      =		initializer_range
							lowercase__					      =		layer_norm_eps
							lowercase__					      =		embedding_size
							lowercase__					      =		head_ratio
							lowercase__					      =		conv_kernel_size
							lowercase__					      =		num_groups
							lowercase__					      =		classifier_dropout






class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					@property
					def   lowerCamelCase__					(self   :						Any		)						->       Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


							if self.task == "multiple-choice":
									lowercase__					      =		{0: """batch""", 1: """choice""", 2: """sequence"""}
							else:
									lowercase__					      =		{0: """batch""", 1: """sequence"""}
							return OrderedDict(
							    [
							        ("""input_ids""", dynamic_axis),
							        ("""attention_mask""", dynamic_axis),
							        ("""token_type_ids""", dynamic_axis),
							    ]		)

