fix: keep LoRA reloads working with PEFT 0.19 (#6748)
* fix: keep LoRA reloads working with PEFT 0.19 * test: exercise the PEFT tensor-parallel symbol extractor * test: prove the full PEFT tensor-parallel seam * fix: harden PEFT tensor-parallel shims * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix: fall back when PEFT tensor-parallel source inspection fails --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Lee Jackson <130007945+Imagineer99@users.noreply.github.com> Co-authored-by: imagineer99 <samleejackson0@gmail.com>
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d915a139eb
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4 changed files with 402 additions and 4 deletions
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@ -23,6 +23,7 @@ import inspect
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import os
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import re
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import sys
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from pathlib import Path
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from importlib.metadata import version as importlib_version
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import pytest
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@ -593,6 +594,7 @@ def test_accelerate_gather_empty_logits_debug_mode_patch():
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orig_debug = state.debug
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orig_dist_type = state.distributed_type
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orig_num_processes = state.num_processes
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orig_device = state.device
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state.debug = True
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state.distributed_type = DistributedType.MULTI_GPU
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@ -624,6 +626,8 @@ def test_accelerate_gather_empty_logits_debug_mode_patch():
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side_effect = mock_gpu_broadcast,
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),
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):
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state.device = torch.device("cpu")
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# Top-level EmptyLogits gathers to itself
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res = acc_ops.gather(e)
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assert res is e
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@ -656,6 +660,7 @@ def test_accelerate_gather_empty_logits_debug_mode_patch():
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state.debug = orig_debug
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state.distributed_type = orig_dist_type
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state.num_processes = orig_num_processes
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state.device = orig_device
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def test_accelerate_patch_is_idempotent():
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@ -698,10 +703,8 @@ def test_accelerate_find_device_skips_empty_logits():
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def test_accelerate_patch_wired_into_gpu_init():
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"""The patch must be installed at startup, not only importable."""
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import pathlib
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import unsloth.import_fixes as import_fixes
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source = pathlib.Path(import_fixes.__file__).with_name("_gpu_init.py").read_text()
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source = Path(__file__).resolve().parent.parent / "unsloth" / "_gpu_init.py"
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source = source.read_text()
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assert "patch_accelerate_recursively_apply()" in source, (
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"DRIFT DETECTED: patch_accelerate_recursively_apply is defined but "
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"never called in _gpu_init.py, so real imports never install it."
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252
tests/test_peft_tensor_parallel_compat.py
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252
tests/test_peft_tensor_parallel_compat.py
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@ -0,0 +1,252 @@
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import importlib.machinery
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import importlib.util
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from pathlib import Path
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import sys
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import types
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import pytest
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REPO_ROOT = Path(__file__).resolve().parents[1]
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IMPORT_FIXES = REPO_ROOT / "unsloth" / "import_fixes.py"
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def _load_import_fixes():
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spec = importlib.util.spec_from_file_location("_unsloth_import_fixes_peft_tp", IMPORT_FIXES)
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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def _install_fake_module(
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name,
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*,
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is_package = False,
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attrs = None,
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):
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module = types.ModuleType(name)
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module.__spec__ = importlib.machinery.ModuleSpec(name, loader = None, is_package = is_package)
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if is_package:
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module.__path__ = []
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if attrs:
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for k, v in attrs.items():
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setattr(module, k, v)
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sys.modules[name] = module
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return module
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@pytest.fixture(autouse = True)
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def _restore_import_fixtures():
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keep = {
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"transformers",
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"transformers.integrations",
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"transformers.integrations.tensor_parallel",
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"peft",
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"peft.utils",
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"peft.utils.save_and_load",
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}
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snapshot = {name: sys.modules.get(name) for name in keep}
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yield
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for name, value in snapshot.items():
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if value is None:
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sys.modules.pop(name, None)
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else:
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sys.modules[name] = value
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def _install_fake_transformers_tensor_parallel(existing):
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transformers = _install_fake_module("transformers", is_package = True)
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integrations = _install_fake_module("transformers.integrations", is_package = True)
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setattr(transformers, "integrations", integrations)
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tp = _install_fake_module(
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"transformers.integrations.tensor_parallel",
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attrs = existing,
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)
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setattr(integrations, "tensor_parallel", tp)
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return tp
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def _fake_peft_shard_state_dict_for_tp():
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from transformers.integrations.tensor_parallel import (
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ALL_PARALLEL_STYLES,
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ColwiseParallel,
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EmbeddingParallel,
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RowwiseParallel,
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)
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return (
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ALL_PARALLEL_STYLES,
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ColwiseParallel,
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EmbeddingParallel,
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RowwiseParallel,
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)
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def _install_fake_peft_tensor_parallel_import():
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peft = _install_fake_module("peft", is_package = True)
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utils = _install_fake_module("peft.utils", is_package = True)
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setattr(peft, "utils", utils)
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save_and_load = _install_fake_module("peft.utils.save_and_load")
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save_and_load._maybe_shard_state_dict_for_tp = _fake_peft_shard_state_dict_for_tp
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setattr(utils, "save_and_load", save_and_load)
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return save_and_load
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def test_missing_tensor_parallel_symbol_import_succeeds_after_fix(monkeypatch):
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module = _load_import_fixes()
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_install_fake_peft_tensor_parallel_import()
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_install_fake_transformers_tensor_parallel(
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{
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"ColwiseParallel": object,
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"RowwiseParallel": object,
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}
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)
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with pytest.raises(ImportError):
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_fake_peft_shard_state_dict_for_tp()
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assert module.fix_peft_transformers_tensor_parallel_import_compat() is True
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import transformers.integrations.tensor_parallel as patched
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all_parallel_styles, _, embedding_parallel, _ = _fake_peft_shard_state_dict_for_tp()
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assert patched == sys.modules["transformers.integrations.tensor_parallel"]
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assert embedding_parallel is getattr(patched, "EmbeddingParallel")
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assert getattr(embedding_parallel, "__unsloth_stub__", False)
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with pytest.raises(NotImplementedError, match = "ALL_PARALLEL_STYLES"):
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all_parallel_styles["rowwise"]
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with pytest.raises(NotImplementedError, match = "ALL_PARALLEL_STYLES"):
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"rowwise" in all_parallel_styles
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with pytest.raises(NotImplementedError, match = "ALL_PARALLEL_STYLES"):
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iter(all_parallel_styles)
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with pytest.raises(NotImplementedError, match = "ALL_PARALLEL_STYLES"):
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len(all_parallel_styles)
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def test_existing_embedding_parallel_is_not_replaced(monkeypatch):
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module = _load_import_fixes()
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class RealEmbeddingParallel:
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pass
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tp_mod = _install_fake_transformers_tensor_parallel(
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{
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"EmbeddingParallel": RealEmbeddingParallel,
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"ColwiseParallel": object,
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}
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)
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monkeypatch.setattr(
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module,
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"_extract_peft_tensor_parallel_imported_symbols",
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lambda: ("ALL_PARALLEL_STYLES", "ColwiseParallel", "EmbeddingParallel", "RowwiseParallel"),
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)
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assert module.fix_peft_transformers_tensor_parallel_import_compat() is True
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assert tp_mod.EmbeddingParallel is RealEmbeddingParallel
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assert not getattr(tp_mod.EmbeddingParallel, "__unsloth_stub__", False)
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def test_missing_tensor_parallel_module_is_not_created(monkeypatch):
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module = _load_import_fixes()
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previous_tp_module = sys.modules.pop("transformers.integrations.tensor_parallel", None)
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original_find_spec = module.importlib.util.find_spec
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def fake_find_spec(name):
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if name == "transformers.integrations.tensor_parallel":
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return None
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return original_find_spec(name)
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monkeypatch.setattr(module.importlib.util, "find_spec", fake_find_spec)
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monkeypatch.setattr(
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module,
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"_extract_peft_tensor_parallel_imported_symbols",
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lambda: ("EmbeddingParallel",),
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)
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assert module.fix_peft_transformers_tensor_parallel_import_compat() is None
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try:
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spec = importlib.util.find_spec("transformers.integrations.tensor_parallel")
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except ModuleNotFoundError as exc:
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assert exc.name == "transformers"
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else:
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assert spec is None
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assert "transformers.integrations.tensor_parallel" not in sys.modules
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def test_placeholder_raises_on_real_use(monkeypatch):
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module = _load_import_fixes()
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tp_mod = _install_fake_transformers_tensor_parallel({})
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monkeypatch.setattr(
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module,
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"_extract_peft_tensor_parallel_imported_symbols",
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lambda: ("EmbeddingParallel",),
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)
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assert module.fix_peft_transformers_tensor_parallel_import_compat() is True
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with pytest.raises(NotImplementedError, match = "EmbeddingParallel"):
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tp_mod.EmbeddingParallel()
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assert getattr(tp_mod.EmbeddingParallel, "__unsloth_stub__", False)
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def test_symbol_extractor_falls_back_when_parse_returns_no_identifiers(monkeypatch):
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module = _load_import_fixes()
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_install_fake_peft_tensor_parallel_import()
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monkeypatch.setattr(
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module.inspect,
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"getsource",
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lambda _: "from transformers.integrations.tensor_parallel import ()",
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)
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assert module._extract_peft_tensor_parallel_imported_symbols() == (
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"ALL_PARALLEL_STYLES",
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"ColwiseParallel",
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"EmbeddingParallel",
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"RowwiseParallel",
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)
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def test_symbol_extractor_falls_back_when_getsource_fails(monkeypatch):
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module = _load_import_fixes()
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_install_fake_peft_tensor_parallel_import()
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monkeypatch.setattr(
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module.inspect,
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"getsource",
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lambda _: (_ for _ in ()).throw(ValueError("no source")),
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)
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assert module._extract_peft_tensor_parallel_imported_symbols() == (
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"ALL_PARALLEL_STYLES",
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"ColwiseParallel",
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"EmbeddingParallel",
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"RowwiseParallel",
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)
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def test_tensor_parallel_import_module_not_found_returns_none(monkeypatch):
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module = _load_import_fixes()
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_install_fake_peft_tensor_parallel_import()
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monkeypatch.setattr(
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module.importlib.util,
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"find_spec",
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lambda name: object() if name == "transformers.integrations.tensor_parallel" else None,
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)
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def _raise_missing(name):
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exc = ModuleNotFoundError(name)
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exc.name = name
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raise exc
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monkeypatch.setattr(module.importlib, "import_module", _raise_missing)
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assert module.fix_peft_transformers_tensor_parallel_import_compat() is None
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