



'''simple docstring'''



import inspect
import os
import sys
import unittest

import accelerate
from accelerate.test_utils import execute_subprocess_async, require_tpu
class 	lowerCamelCase_							(					unittest.TestCase			):







      def 					__lowercase    (  self   :      str				):

             """simple docstring"""
             SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			inspect.getfile(accelerate.test_utils				)
             SCREAMING_SNAKE_CASE					:      List[str]     					=			os.path.sep.join(mod_file.split(os.path.sep				)[:-1] + ['''scripts''', '''test_script.py''']				)
             SCREAMING_SNAKE_CASE					:      int     					=			os.path.sep.join(inspect.getfile(self.__class__				).split(os.path.sep				)[:-1]				)







      @require_tpu
      def 					__lowercase    (  self   :      Dict				):

             """simple docstring"""
             SCREAMING_SNAKE_CASE					:      Optional[int]     					=			F"""
            {self.test_dir}/xla_spawn.py
            --num_cores 8
            {self.test_file_path}
        """.split()
             SCREAMING_SNAKE_CASE					:      List[Any]     					=			[sys.executable] + distributed_args
             execute_subprocess_async(lowerCAmelCase__				,    env=os.environ.copy()				)









'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase_     :       str								=						{
    'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LlamaConfig'],
}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_     :       Dict								=						['LlamaTokenizer']

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_     :       str								=						['LlamaTokenizerFast']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_     :       Optional[int]								=						[
							    'LlamaForCausalLM',
							    'LlamaModel',
							    'LlamaPreTrainedModel',
							    'LlamaForSequenceClassification',
							]


if TYPE_CHECKING:
							from .configuration_llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_llama import LlamaTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_llama_fast import LlamaTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel


else:
							import sys

							lowerCAmelCase_     :       Optional[Any]								=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




