Basic evaluate CLI command / codepath (#2188)
* basic evaluate CLI command / codepath * tests for evaluate CLI command * fixes and cleanup * review comments; slightly DRYing up things --------- Co-authored-by: Dan Saunders <dan@axolotl.ai>
This commit is contained in:
@@ -1,98 +1,71 @@
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"""pytest tests for axolotl CLI train command."""
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"""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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def test_train_cli_validation(cli_runner):
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"""Test CLI validation"""
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# Test missing config file
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result = cli_runner.invoke(cli, ["train", "--no-accelerate"])
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assert result.exit_code != 0
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# Test non-existent config file
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result = cli_runner.invoke(cli, ["train", "nonexistent.yml", "--no-accelerate"])
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assert result.exit_code != 0
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assert "Error: Invalid value for 'CONFIG'" in result.output
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from .test_cli_base import BaseCliTest
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def test_train_basic_execution(cli_runner, tmp_path, valid_test_config):
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"""Test basic successful execution"""
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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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class TestTrainCommand(BaseCliTest):
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"""Test cases for train command."""
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with patch("subprocess.run") as mock:
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result = cli_runner.invoke(cli, ["train", str(config_path)])
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cli = cli
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assert mock.called
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assert mock.call_args.args[0] == [
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"accelerate",
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"launch",
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"-m",
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"axolotl.cli.train",
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str(config_path),
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"--debug-num-examples",
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"0",
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]
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assert mock.call_args.kwargs == {"check": True}
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assert result.exit_code == 0
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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(cli_runner, tmp_path, valid_test_config):
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"""Test basic successful execution"""
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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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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())
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with patch("axolotl.cli.train.train") as mock_train:
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mock_train.return_value = (MagicMock(), 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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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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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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def test_train_cli_overrides(cli_runner, tmp_path, valid_test_config):
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"""Test CLI arguments properly override config values"""
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config_path = tmp_path / "config.yml"
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output_dir = tmp_path / "model-out"
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with patch("axolotl.cli.train.train") as mock_train:
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mock_train.return_value = (MagicMock(), MagicMock())
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test_config = valid_test_config.replace(
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"output_dir: model-out", f"output_dir: {output_dir}"
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)
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config_path.write_text(test_config)
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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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with patch("axolotl.cli.train.train") as mock_train:
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mock_train.return_value = (MagicMock(), 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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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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