


"""simple docstring"""







# as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.

import os
import sys

from transformers.testing_utils import TestCasePlus, execute_subprocess_async, get_gpu_count, require_torch_gpu, slow

from .utils import load_json
class 							lowerCamelCase       (			__SCREAMING_SNAKE_CASE ):






							@classmethod
							def 					lowerCAmelCase     (						cls :     Optional[Any]				):
													return cls






							@slow
							@require_torch_gpu
							def 					lowerCAmelCase     (						self :     List[str]				):
													UpperCAmelCase__		=    self.get_auto_remove_tmp_dir()
													UpperCAmelCase__		=    f"""
            --model_name Helsinki-NLP/opus-mt-en-ro
            --save_dir {output_dir}
            --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro
            --num_beams 2
            --task translation
        """.split()

													# we want this test to run even if there is only one GPU, but if there are more we use them all
													UpperCAmelCase__		=    get_gpu_count()
													UpperCAmelCase__		=    f"""
            -m torch.distributed.launch
            --nproc_per_node={n_gpu}
            {self.test_file_dir}/run_distributed_eval.py
        """.split()
													UpperCAmelCase__		=    [sys.executable] + distributed_args + args
													execute_subprocess_async(lowerCamelCase_		, env=self.get_env()				)

													UpperCAmelCase__		=    os.path.join(lowerCamelCase_		, '''test_bleu.json'''				)
													UpperCAmelCase__		=    load_json(lowerCamelCase_				)
													# print(metrics)
													self.assertGreaterEqual(metrics['''bleu''']		, 25				)



"""simple docstring"""







import safs
class 							lowerCamelCase       (			safs.SaFileSystem ):


							"""simple docstring"""