# SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. """Fake-CUDA GRPO patch run against the *installed* TRL (CPU-only, no training). The static symbol/source-string canaries (test_trl_grpo_pinned_symbols.py) grep raw TRL source; they never execute unsloth's transforms. This test drives the real pipeline: under the aggressive CUDA spoof it imports unsloth and calls `_patch_trl_rl_trainers_impl`, which reads the installed GRPOTrainer via inspect.getsource, applies every rl.py/rl_replacements.py rewrite, and compiles the result into an UnslothGRPOTrainer. A structural TRL change that slips past the greps (e.g. TRL 1.7.0's 2->3-tuple return arity, or a restructured PEFT ref-adapter block) surfaces here as a transform error, a broken generated source, or a violated contract -- with no GPU and no training run. Meant to run in CI against `trl==latest` and `trl @ main` (see version-compat-ci.yml). The tests/conftest.py harness pre-loads device_type with DEVICE_COUNT=0 so unsloth's kernel init takes the CPU-safe path. """ from __future__ import annotations import ast import importlib import importlib.machinery import importlib.util import inspect import sys import types from pathlib import Path import pytest # daily-fresh-fetch collects tests/version_compat/ with only pytest installed; # the spoof and the rest of this module need the real torch runtime. Skip the # whole module cleanly when torch is absent rather than crashing collection. if importlib.util.find_spec("torch") is None: pytest.skip("torch not installed; fake-run needs the real runtime", allow_module_level = True) # Apply the spoof BEFORE any unsloth-touching import (mirrors # tests/vllm_compat/test_extended_module_imports.py). _SPOOF_DIR = Path(__file__).resolve().parents[1] sys.path.insert(0, str(_SPOOF_DIR)) import _zoo_aggressive_cuda_spoof as _spoof # noqa: E402 _spoof.apply() def _stub_module(name: str, attrs: dict | None = None) -> None: if name in sys.modules: return m = types.ModuleType(name) m.__spec__ = importlib.machinery.ModuleSpec(name = name, loader = None, origin = "") for k, v in (attrs or {}).items(): setattr(m, k, v) sys.modules[name] = m _stub_module("torchcodec") def _trl_version(): import trl from packaging.version import Version return Version(trl.__version__.split("+")[0]) def _patch_grpo_and_get_source() -> str: """Run the GRPO patcher against the installed TRL and return the generated UnslothGRPOTrainer source. Calls the impl (not the try/except wrapper) so a transform/compile regression surfaces as a hard error instead of a silent no-op.""" import trl.trainer.grpo_trainer as _g from unsloth.models import rl as _rl _rl._patch_trl_rl_trainers_impl("grpo_trainer") patched = _g.GRPOTrainer assert patched.__name__ == "UnslothGRPOTrainer", ( f"GRPO patch silently no-oped: trl.trainer.grpo_trainer.GRPOTrainer is " f"{patched.__name__!r}, expected 'UnslothGRPOTrainer' (transform failed " f"or dispatch key drifted on this TRL)" ) # The transformed body (__init__ rewrites, injected per-token-logps) lives in # the generated module's `_UnslothGRPOTrainer` base + module-level funcs, not # the thin UnslothGRPOTrainer subclass -- read the whole generated module. mod = inspect.getmodule(patched) return inspect.getsource(mod) if mod is not None else inspect.getsource(patched) @pytest.fixture(scope = "module") def generated_grpo_source(): if importlib.util.find_spec("unsloth") is None: pytest.skip("unsloth not installed") if importlib.util.find_spec("trl") is None: pytest.skip("trl not installed") # Do NOT swallow import errors: unsloth is installed here, so a failing # `import unsloth` is exactly the import-time TRL/transformers drift this # canary must surface as a failure, not a skip. import unsloth # noqa: F401 -- _gpu_init bootstrap under spoof return _patch_grpo_and_get_source() def test_grpo_patch_generates_valid_source(generated_grpo_source): """The generated UnslothGRPOTrainer must be syntactically valid Python.""" ast.parse(generated_grpo_source) def test_grpo_patch_aux_fail_fast_injected(generated_grpo_source): """TRL >= 1.7.0: rl.py injects a fail-fast for the unsupported MoE router aux-loss opt-in right after `self.aux_loss_enabled = ...`.""" from packaging.version import Version if _trl_version() < Version("1.7.0"): pytest.skip("aux_loss_enabled / router_aux_loss_coef are TRL >= 1.7.0") assert "does not compute the MoE router auxiliary loss" in generated_grpo_source, ( "aux fail-fast raise missing from generated trainer; rl.py's " "aux_loss_enabled .replace() anchor did not match this TRL" ) def test_grpo_patch_three_tuple_return(generated_grpo_source): """TRL >= 1.7.0 call sites unpack a 3-tuple from _get_per_token_logps_and_entropies; the injected replacement must return (logps, entropies, aux_loss).""" from packaging.version import Version if _trl_version() >= Version("1.7.0"): assert "return logprobs.detach(), entropies, aux_loss" in generated_grpo_source, ( "3-tuple per-token-logps return missing; the arity version-gate in " "rl_replacements.py did not emit the >=1.7.0 form" ) else: assert ( "return logprobs.detach(), entropies, aux_loss" not in generated_grpo_source ), "2-tuple TRL got the 3-tuple return; arity gate mis-fired" def test_grpo_patch_preserves_grad_checkpointing_block(generated_grpo_source): """The tightened PR #6904 PEFT regex must remove only the ref-adapter init, not the following enable_input_require_grads gradient-checkpointing block.""" from packaging.version import Version if _trl_version() < Version("1.7.0"): pytest.skip("ref-adapter elif block is the TRL >= 1.7.0 shape") assert "enable_input_require_grads" in generated_grpo_source, ( "gradient-checkpointing enable_input_require_grads() block was swallowed " "by the PEFT-removal regex (over-reach regression)" ) def test_grpo_patch_neutralizes_ref_adapter_and_qlora_cast(generated_grpo_source): """TRL >= 1.7.0: the ref-adapter copy and the hardcoded QLoRA bf16 cast must both be gone from the generated trainer.""" from packaging.version import Version if _trl_version() < Version("1.7.0"): pytest.skip("targets the TRL >= 1.7.0 PEFT / _is_quantized_model shapes") assert ( "ref_param.data.copy_(param.data)" not in generated_grpo_source ), "TRL's PEFT ref-adapter init survived; rl.py peft_pattern re.sub no-oped" assert ( "if _is_quantized_model:" not in generated_grpo_source ), "TRL's hardcoded QLoRA bf16 cast survived; rl.py neutralization no-oped" # SFT / DPO: the same source-transform patcher runs on them (a fake patch run, # no training), so a structural TRL change can break generation. Assert the patch # produces a valid, importable Unsloth trainer AND that the shared QLoRA # `_is_quantized_model` bf16 cast is neutralized (TRL 1.7's spelling), which the # patcher applies to every trainer. Catches "and or others" beyond GRPO. def _patch_and_get_source(trainer_file: str, trainer_cls: str) -> str: if importlib.util.find_spec("unsloth") is None or importlib.util.find_spec("trl") is None: pytest.skip("unsloth or trl not installed") # Let a real import failure fail the test (import-time drift is the target). import unsloth # noqa: F401 import trl.trainer # noqa: F401 from unsloth.models import rl as _rl _rl._patch_trl_rl_trainers_impl(trainer_file) mod = importlib.import_module(f"trl.trainer.{trainer_file}") patched = getattr(mod, trainer_cls) assert patched.__name__ == f"Unsloth{trainer_cls}", ( f"{trainer_cls} patch silently no-oped on this TRL " f"(got {patched.__name__!r}); source-transform dispatch drifted" ) gen = inspect.getmodule(patched) src = inspect.getsource(gen) if gen is not None else inspect.getsource(patched) ast.parse(src) return src def _assert_quantized_cast_neutralized(src: str, trainer_cls: str) -> None: from packaging.version import Version if _trl_version() < Version("1.7.0"): pytest.skip("pre-1.7.0 spells the QLoRA cast differently (is_loaded_in_4bit)") assert "if _is_quantized_model:" not in src, ( f"{trainer_cls}: TRL's hardcoded QLoRA bf16 cast survived; the shared " f"rl.py `if _is_quantized_model:` -> `if False:` neutralization no-oped" ) def test_sft_patch_generates_valid_source(): src = _patch_and_get_source("sft_trainer", "SFTTrainer") _assert_quantized_cast_neutralized(src, "SFTTrainer") def test_dpo_patch_generates_valid_source(): src = _patch_and_get_source("dpo_trainer", "DPOTrainer") _assert_quantized_cast_neutralized(src, "DPOTrainer") # The installed TRL in CI is always >= 1.7.0, so the < 1.7.0 return-arity # downgrade is never exercised by the fake-run above. Lock both arities by # monkeypatching rl_replacements.trl_version and re-generating the injected # _get_per_token_logps_and_entropies source directly (no TRL install needed). def test_per_token_logps_arity_gate_both_directions(monkeypatch): if importlib.util.find_spec("unsloth") is None: pytest.skip("unsloth not installed") import unsloth # noqa: F401 from packaging.version import Version from unsloth.models import rl_replacements as _rlr gate = _rlr.grpo_trainer__get_per_token_logps_and_entropies # >= 1.7.0: 3-tuple return kept. monkeypatch.setattr(_rlr, "trl_version", Version("1.7.0"), raising = False) src_new = gate("_get_per_token_logps_and_entropies", None) assert ( "return logprobs.detach(), entropies, aux_loss" in src_new ), "3-tuple return missing for TRL >= 1.7.0" # < 1.7.0: aux_loss element dropped -> 2-tuple. A no-op downgrade must raise # (fail loud), never silently ship a 3-tuple to older TRL. monkeypatch.setattr(_rlr, "trl_version", Version("1.6.0"), raising = False) src_old = gate("_get_per_token_logps_and_entropies", None) assert ( "return logprobs.detach(), entropies # logps, entropies" in src_old ), "2-tuple return missing for TRL < 1.7.0" assert ( "entropies, aux_loss" not in src_old ), "aux_loss element still present in the TRL < 1.7.0 downgrade"