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# Copyright 2020 The HuggingFace Team. All rights reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# 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 TestSummarizationDistillerMultiGPU(TestCasePlus): | |
def setUpClass(cls): | |
return cls | |
def test_distributed_eval(self): | |
output_dir = self.get_auto_remove_tmp_dir() | |
args = 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 | |
n_gpu = get_gpu_count() | |
distributed_args = f""" | |
-m torch.distributed.launch | |
--nproc_per_node={n_gpu} | |
{self.test_file_dir}/run_distributed_eval.py | |
""".split() | |
cmd = [sys.executable] + distributed_args + args | |
execute_subprocess_async(cmd, env=self.get_env()) | |
metrics_save_path = os.path.join(output_dir, "test_bleu.json") | |
metrics = load_json(metrics_save_path) | |
# print(metrics) | |
self.assertGreaterEqual(metrics["bleu"], 25) | |