mirror of https://github.com/open-mmlab/mim.git
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import os.path as osp
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import shutil
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import time
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from click.testing import CliRunner
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from mim.commands.install import cli as install
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from mim.commands.train import cli as train
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from mim.utils import download_from_file, extract_tar, is_installed
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dataset_url = 'https://download.openmmlab.com/mim/dataset.tar'
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cfg_url = 'https://download.openmmlab.com/mim/resnet18_b16x8_custom.py'
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def setup_module():
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runner = CliRunner()
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if not is_installed('mmcls'):
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result = runner.invoke(install, ['mmcls', '--yes'])
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assert result.exit_code == 0
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def test_train():
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runner = CliRunner()
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if not osp.exists('/tmp/dataset'):
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download_from_file(dataset_url, '/tmp/dataset.tar')
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extract_tar('/tmp/dataset.tar', '/tmp/')
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if not osp.exists('/tmp/config.py'):
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download_from_file(cfg_url, '/tmp/config.py')
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# wait for the download task to complete
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time.sleep(5)
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result = runner.invoke(
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train, ['mmcls', '/tmp/config.py', '--gpus=0', '--work-dir=tmp'])
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assert result.exit_code == 0
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result = runner.invoke(
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train, ['mmcls', '/tmp/xxx.py', '--gpus=0', '--work-dir=tmp'])
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assert result.exit_code != 0
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shutil.rmtree('tmp')
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