mirror of https://github.com/open-mmlab/mim.git
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import pytest
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import torch
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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.test import cli as test
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from mim.commands.uninstall import cli as uninstall
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def setup_module():
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runner = CliRunner()
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result = runner.invoke(uninstall, ['mmcv-full', '--yes'])
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assert result.exit_code == 0
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result = runner.invoke(uninstall, ['mmcls', '--yes'])
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assert result.exit_code == 0
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@pytest.mark.parametrize('device', [
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'cpu',
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pytest.param(
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'cuda',
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marks=pytest.mark.skipif(
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not torch.cuda.is_available(), reason='requires CUDA support')),
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])
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def test_test(device):
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runner = CliRunner()
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result = runner.invoke(install, ['mmcls', '--yes'])
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assert result.exit_code == 0
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# Since `mminstall.txt` is not included in the distribution of
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# mmcls<=0.23.1, we need to install mmcv-full manually.
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result = runner.invoke(install, ['mmcv-full', '--yes'])
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assert result.exit_code == 0
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result = runner.invoke(test, [
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'mmcls', 'tests/data/lenet5_mnist.py', '--checkpoint',
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'tests/data/epoch_1.pth', f'--device={device}', '--metrics=accuracy'
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])
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assert result.exit_code == 0
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result = runner.invoke(test, [
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'mmcls', 'tests/data/xxx.py', '--checkpoint', 'tests/data/epoch_1.pth',
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f'--device={device}', '--metrics=accuracy'
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])
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assert result.exit_code != 0
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result = runner.invoke(test, [
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'mmcls', 'tests/data/lenet5_mnist.py', '--checkpoint',
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'tests/data/xxx.pth', f'--device={device}', '--metrics=accuracy'
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])
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assert result.exit_code != 0
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def teardown_module():
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runner = CliRunner()
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result = runner.invoke(uninstall, ['mmcv-full', '--yes'])
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assert result.exit_code == 0
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result = runner.invoke(uninstall, ['mmcls', '--yes'])
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assert result.exit_code == 0
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