7e7180fa10
* add mocks for loading datasets in cli train tests * Apply suggestions from code review to fix patched module for preprocess Co-authored-by: NanoCode012 <nano@axolotl.ai> --------- Co-authored-by: NanoCode012 <nano@axolotl.ai>
76 lines
2.7 KiB
Python
76 lines
2.7 KiB
Python
"""Tests for train CLI command."""
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from unittest.mock import MagicMock, patch
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from axolotl.cli.main import cli
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from .test_cli_base import BaseCliTest
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class TestTrainCommand(BaseCliTest):
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"""Test cases for train command."""
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cli = cli
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def test_train_cli_validation(self, cli_runner):
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"""Test CLI validation"""
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self._test_cli_validation(cli_runner, "train")
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def test_train_basic_execution(self, cli_runner, tmp_path, valid_test_config):
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"""Test basic successful execution"""
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self._test_basic_execution(cli_runner, tmp_path, valid_test_config, "train")
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def test_train_basic_execution_no_accelerate(
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self, cli_runner, tmp_path, valid_test_config
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):
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"""Test basic successful execution without accelerate"""
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config_path = tmp_path / "config.yml"
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config_path.write_text(valid_test_config)
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with patch("axolotl.cli.train.train") as mock_train:
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mock_train.return_value = (MagicMock(), MagicMock(), MagicMock())
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with patch("axolotl.cli.train.load_datasets") as mock_load_datasets:
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mock_load_datasets.return_value = MagicMock()
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result = cli_runner.invoke(
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cli,
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[
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"train",
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str(config_path),
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"--no-accelerate",
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],
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catch_exceptions=False,
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)
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assert result.exit_code == 0
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mock_train.assert_called_once()
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def test_train_cli_overrides(self, cli_runner, tmp_path, valid_test_config):
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"""Test CLI arguments properly override config values"""
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config_path = self._test_cli_overrides(tmp_path, valid_test_config)
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with patch("axolotl.cli.train.train") as mock_train:
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mock_train.return_value = (MagicMock(), MagicMock(), MagicMock())
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with patch("axolotl.cli.train.load_datasets") as mock_load_datasets:
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mock_load_datasets.return_value = MagicMock()
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result = cli_runner.invoke(
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cli,
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[
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"train",
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str(config_path),
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"--learning-rate",
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"1e-4",
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"--micro-batch-size",
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"2",
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"--no-accelerate",
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],
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catch_exceptions=False,
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)
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assert result.exit_code == 0
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mock_train.assert_called_once()
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cfg = mock_train.call_args[1]["cfg"]
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assert cfg["learning_rate"] == 1e-4
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assert cfg["micro_batch_size"] == 2
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