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axolotl/tests/e2e/integrations/test_convert_differential_transformer.py
2025-01-10 16:28:51 +00:00

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4.1 KiB
Python

"""End-to-end tests for differential transformer conversion."""
# pylint: disable=redefined-outer-name
from pathlib import Path
from typing import Optional
import pytest
import yaml
from axolotl.cli import load_cfg
from axolotl.cli.integrations.convert_differential_transformer import (
convert_differential_transformer,
)
from axolotl.common.cli import ConvertDiffTransformerCliArgs
@pytest.fixture()
def base_config():
"""Basic config for testing."""
return {
"base_model": "HuggingFaceTB/SmolLM2-135M",
"datasets": [
{
"path": "mhenrichsen/alpaca_2k_test",
"type": "alpaca",
},
],
"gradient_accumulation_steps": 1,
"learning_rate": 1e-4,
"val_set_size": 0.1,
"micro_batch_size": 1,
"sequence_len": 2048,
"special_tokens": {
"pad_token": "<|endoftext|>",
},
}
def test_conversion_cli_basic(tmp_path: Path, base_config):
output_dir = tmp_path / "converted"
base_config["output_dir"] = str(output_dir)
config_path = tmp_path / "config.yml"
with open(config_path, "w", encoding="utf-8") as file:
yaml.dump(base_config, file)
# Load config the same way do_cli does
cfg = load_cfg(str(config_path))
# Create CLI args
cli_args = ConvertDiffTransformerCliArgs()
# Call convert_differential_transformer directly
_, debug_info = convert_differential_transformer(cfg, cli_args, str(config_path))
assert not debug_info
assert (output_dir / "model.safetensors").exists()
assert (output_dir / "config.json").exists()
assert (output_dir / "axolotl_config.yml").exists()
def test_conversion_cli_debug(tmp_path: Path, base_config):
output_dir = tmp_path / "converted"
base_config["output_dir"] = str(output_dir)
config_path = tmp_path / "config.yml"
with open(config_path, "w", encoding="utf-8") as file:
yaml.dump(base_config, file)
# Load config the same way do_cli does
cfg = load_cfg(str(config_path))
# Create CLI args
cli_args = ConvertDiffTransformerCliArgs(debug=True)
# Call convert_differential_transformer directly
_, debug_info = convert_differential_transformer(cfg, cli_args, str(config_path))
assert not debug_info["generations_match"]
assert not debug_info["match_expected"]
assert (output_dir / "model.safetensors").exists()
assert (output_dir / "config.json").exists()
assert (output_dir / "axolotl_config.yml").exists()
def test_conversion_cli_reproduce(tmp_path: Path, base_config):
output_dir = tmp_path / "converted"
base_config["output_dir"] = str(output_dir)
config_path = tmp_path / "config.yml"
with open(config_path, "w", encoding="utf-8") as file:
yaml.dump(base_config, file)
cfg = load_cfg(str(config_path))
cli_args = ConvertDiffTransformerCliArgs(
debug=True, zero_init=True, sublayer_norm=False
)
_, debug_info = convert_differential_transformer(cfg, cli_args, str(config_path))
assert debug_info["generations_match"] is True
assert (output_dir / "model.safetensors").exists()
assert (output_dir / "config.json").exists()
assert (output_dir / "axolotl_config.yml").exists()
@pytest.mark.parametrize("attention", ["sdp_attention", "flash_attention"])
def test_conversion_cli_repoduce_attentions(
tmp_path: Path, base_config, attention: Optional[str]
):
output_dir = tmp_path / "converted"
base_config["output_dir"] = str(output_dir)
base_config[attention] = True
config_path = tmp_path / "config.yml"
with open(config_path, "w", encoding="utf-8") as file:
yaml.dump(base_config, file)
cfg = load_cfg(str(config_path))
cli_args = ConvertDiffTransformerCliArgs(
debug=True, zero_init=True, sublayer_norm=False
)
_, debug_info = convert_differential_transformer(cfg, cli_args, str(config_path))
assert debug_info["generations_match"] is True
assert (output_dir / "model.safetensors").exists()
assert (output_dir / "config.json").exists()
assert (output_dir / "axolotl_config.yml").exists()