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https://github.com/huggingface/transformers.git
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fa84ae26d6
This is the result of:
$ black --line-length 119 examples templates transformers utils hubconf.py setup.py
There's a lot of fairly long lines in the project. As a consequence, I'm
picking the longest widely accepted line length, 119 characters.
This is also Thomas' preference, because it allows for explicit variable
names, to make the code easier to understand.
111 lines
3.7 KiB
Python
111 lines
3.7 KiB
Python
# coding=utf-8
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# Copyright 2018 HuggingFace Inc..
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import sys
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import unittest
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import argparse
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import logging
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try:
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# python 3.4+ can use builtin unittest.mock instead of mock package
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from unittest.mock import patch
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except ImportError:
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from mock import patch
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import run_glue
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import run_squad
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import run_generation
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger()
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def get_setup_file():
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parser = argparse.ArgumentParser()
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parser.add_argument("-f")
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args = parser.parse_args()
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return args.f
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class ExamplesTests(unittest.TestCase):
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def test_run_glue(self):
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stream_handler = logging.StreamHandler(sys.stdout)
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logger.addHandler(stream_handler)
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testargs = [
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"run_glue.py",
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"--data_dir=./examples/tests_samples/MRPC/",
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"--task_name=mrpc",
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"--do_train",
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"--do_eval",
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"--output_dir=./examples/tests_samples/temp_dir",
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"--per_gpu_train_batch_size=2",
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"--per_gpu_eval_batch_size=1",
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"--learning_rate=1e-4",
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"--max_steps=10",
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"--warmup_steps=2",
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"--overwrite_output_dir",
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"--seed=42",
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]
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model_type, model_name = ("--model_type=bert", "--model_name_or_path=bert-base-uncased")
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with patch.object(sys, "argv", testargs + [model_type, model_name]):
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result = run_glue.main()
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for value in result.values():
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self.assertGreaterEqual(value, 0.75)
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def test_run_squad(self):
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stream_handler = logging.StreamHandler(sys.stdout)
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logger.addHandler(stream_handler)
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testargs = [
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"run_squad.py",
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"--data_dir=./examples/tests_samples/SQUAD",
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"--model_name=bert-base-uncased",
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"--output_dir=./examples/tests_samples/temp_dir",
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"--max_steps=10",
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"--warmup_steps=2",
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"--do_train",
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"--do_eval",
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"--version_2_with_negative",
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"--learning_rate=2e-4",
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"--per_gpu_train_batch_size=2",
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"--per_gpu_eval_batch_size=1",
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"--overwrite_output_dir",
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"--seed=42",
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]
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model_type, model_name = ("--model_type=bert", "--model_name_or_path=bert-base-uncased")
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with patch.object(sys, "argv", testargs + [model_type, model_name]):
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result = run_squad.main()
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self.assertGreaterEqual(result["f1"], 30)
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self.assertGreaterEqual(result["exact"], 30)
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def test_generation(self):
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stream_handler = logging.StreamHandler(sys.stdout)
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logger.addHandler(stream_handler)
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testargs = ["run_generation.py", "--prompt=Hello", "--length=10", "--seed=42"]
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model_type, model_name = ("--model_type=openai-gpt", "--model_name_or_path=openai-gpt")
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with patch.object(sys, "argv", testargs + [model_type, model_name]):
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result = run_generation.main()
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self.assertGreaterEqual(len(result), 10)
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if __name__ == "__main__":
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unittest.main()
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