progress on modeling code
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@@ -15,135 +15,133 @@ from axolotl.cli.main import cli
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from axolotl.common.cli import ConvertDiffTransformerCliArgs
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@pytest.mark.usefixtures("base_config", "cli_runner")
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class TestDiffTransformer:
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"""Tests for convert-diff-transformer CLI command"""
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def test_cli_validation(cli_runner):
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# Test missing config file
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result = cli_runner.invoke(cli, ["convert-diff-transformer"])
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assert result.exit_code != 0
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assert "Error: Missing argument 'CONFIG'." in result.output
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def test_cli_validation(self, cli_runner):
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# Test missing config file
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result = cli_runner.invoke(cli, ["convert-diff-transformer"])
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assert result.exit_code != 0
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assert "Error: Missing argument 'CONFIG'." in result.output
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# Test non-existent config file
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result = cli_runner.invoke(cli, ["convert-diff-transformer", "nonexistent.yml"])
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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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# Test non-existent config file
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result = cli_runner.invoke(cli, ["convert-diff-transformer", "nonexistent.yml"])
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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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def test_basic_execution(self, cli_runner, tmp_path: Path, base_config):
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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def test_basic_execution(cli_runner, tmp_path: Path, base_config):
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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with patch(
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"axolotl.cli.integrations.convert_diff_transformer.do_cli"
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) as mock_do_cli:
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result = cli_runner.invoke(
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cli, ["convert-diff-transformer", str(config_path)]
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)
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assert result.exit_code == 0
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with patch(
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"axolotl.cli.integrations.convert_diff_transformer.do_cli"
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) as mock_do_cli:
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result = cli_runner.invoke(cli, ["convert-diff-transformer", str(config_path)])
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assert result.exit_code == 0
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mock_do_cli.assert_called_once()
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assert mock_do_cli.call_args.kwargs["config"] == str(config_path)
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mock_do_cli.assert_called_once()
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assert mock_do_cli.call_args.kwargs["config"] == str(config_path)
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def test_conversion_cli_basic(self, tmp_path: Path, base_config):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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def test_conversion_cli_basic(tmp_path: Path, base_config):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs()
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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assert not debug_info
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs()
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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def test_conversion_cli_debug(self, tmp_path: Path, base_config):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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assert not debug_info
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs(debug=True)
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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def test_conversion_cli_debug(tmp_path: Path, base_config):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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assert not debug_info["generations_match"]
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assert not debug_info["match_expected"]
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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def test_conversion_cli_reproduce(self, tmp_path: Path, base_config):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs(debug=True)
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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assert not debug_info["generations_match"]
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assert not debug_info["match_expected"]
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs(
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debug=True, zero_init=True, sublayer_norm=False
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)
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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assert debug_info["generations_match"] is True
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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def test_conversion_cli_reproduce(tmp_path: Path, base_config):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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@pytest.mark.parametrize(
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"attention", ["eager_attention", "sdp_attention", "flash_attention"]
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs(
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debug=True, zero_init=True, sublayer_norm=False
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)
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def test_conversion_cli_repoduce_attentions(
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self, tmp_path: Path, base_config, attention: Optional[str]
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):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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base_config[attention] = True
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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assert debug_info["generations_match"] is True
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs(
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debug=True, zero_init=True, sublayer_norm=False
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)
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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assert debug_info["generations_match"] is True
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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@pytest.mark.parametrize(
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"attention", ["eager_attention", "sdp_attention", "flash_attention"]
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)
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def test_conversion_cli_repoduce_attentions(
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tmp_path: Path, base_config, attention: Optional[str]
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):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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base_config[attention] = True
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@pytest.mark.parametrize(
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"attention", ["eager_attention", "sdp_attention", "flash_attention"]
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs(
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debug=True, zero_init=True, sublayer_norm=False
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)
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def test_conversion_cli_split_heads(
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self, tmp_path: Path, base_config, attention: str
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):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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base_config[attention] = True
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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assert debug_info["generations_match"] is True
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs(debug=True, split_heads=True)
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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assert debug_info["generations_match"] is False
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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@pytest.mark.parametrize(
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"attention", ["eager_attention", "sdp_attention", "flash_attention"]
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)
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def test_conversion_cli_split_heads(tmp_path: Path, base_config, attention: str):
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output_dir = tmp_path / "converted"
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base_config["output_dir"] = str(output_dir)
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base_config[attention] = True
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config_path = tmp_path / "config.yml"
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with open(config_path, "w", encoding="utf-8") as file:
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yaml.dump(base_config, file)
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cfg = load_cfg(str(config_path))
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cli_args = ConvertDiffTransformerCliArgs(debug=True, split_heads=True)
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_, debug_info = convert_diff_transformer(cfg, cli_args, str(config_path))
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assert debug_info["generations_match"] is False
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assert (output_dir / "model.safetensors").exists()
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assert (output_dir / "config.json").exists()
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assert (output_dir / "axolotl_config.yml").exists()
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