test_examples.py

# coding=utf-8
# Copyright 2018 HuggingFace Inc..
#
# 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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import sys
import unittest
import argparse
import logging

try:
    # python 3.4+ can use builtin unittest.mock instead of mock package
    from unittest.mock import patch
except ImportError:
    from mock import patch

import run_glue
import run_squad
import run_generation

logging.basicConfig(level=logging.DEBUG)

logger = logging.getLogger()

def get_setup_file():
    parser = argparse.ArgumentParser()
    parser.add_argument('-f')
    args = parser.parse_args()
    return args.f

class ExamplesTests(unittest.TestCase):

    def test_run_glue(self):
        stream_handler = logging.StreamHandler(sys.stdout)
        logger.addHandler(stream_handler)

        testargs = ["run_glue.py",
                    "--data_dir=./examples/tests_samples/MRPC/",
                    "--task_name=mrpc",
                    "--do_train",
                    "--do_eval",
                    "--output_dir=./examples/tests_samples/temp_dir",
                    "--per_gpu_train_batch_size=2",
                    "--per_gpu_eval_batch_size=1",
                    "--learning_rate=1e-4",
                    "--max_steps=10",
                    "--warmup_steps=2",
                    "--overwrite_output_dir",
                    "--seed=42"]
        model_type, model_name = ("--model_type=bert",
                                  "--model_name_or_path=bert-base-uncased")
        with patch.object(sys, 'argv', testargs + [model_type, model_name]):
            result = run_glue.main()
            for value in result.values():
                self.assertGreaterEqual(value, 0.75)

    def test_run_squad(self):
        stream_handler = logging.StreamHandler(sys.stdout)
        logger.addHandler(stream_handler)

        testargs = ["run_squad.py",
                    "--train_file=./examples/tests_samples/SQUAD/dev-v2.0-small.json",
                    "--predict_file=./examples/tests_samples/SQUAD/dev-v2.0-small.json",
                    "--model_name=bert-base-uncased",
                    "--output_dir=./examples/tests_samples/temp_dir",
                    "--max_steps=10",
                    "--warmup_steps=2",
                    "--do_train",
                    "--do_eval",
                    "--version_2_with_negative",
                    "--learning_rate=1e-4",
                    "--per_gpu_train_batch_size=2",
                    "--per_gpu_eval_batch_size=1",
                    "--overwrite_output_dir",
                    "--seed=42"]
        model_type, model_name = ("--model_type=bert",
                                  "--model_name_or_path=bert-base-uncased")
        with patch.object(sys, 'argv', testargs + [model_type, model_name]):
            result = run_squad.main()
            self.assertGreaterEqual(result['f1'], 30)
            self.assertGreaterEqual(result['exact'], 30)

    def test_generation(self):
        stream_handler = logging.StreamHandler(sys.stdout)
        logger.addHandler(stream_handler)

        testargs = ["run_generation.py",
                    "--prompt=Hello",
                    "--length=10",
                    "--seed=42"]
        model_name = "--model_name=openai-gpt"
        with patch.object(sys, 'argv', testargs + [model_name]):
            result = run_generation.main()
            self.assertGreaterEqual(len(result), 10)

if __name__ == "__main__":
    unittest.main()