[tests] reset known modules that are patched on each test function end (#2147)

* reset known modules that are patched on each test function end

* fix the llama model module name

* prevent unsloth patching multiple times

* pop classes out of the globals after reset

* fix tuple indexing

* manually workaround for llama fa2

src/axolotl/monkeypatch/trainer_grad_accum.py

@@ -3,14 +3,14 @@ fix for FSDP gradient accumulation
 see https://github.com/huggingface/transformers/pull/35128
 """
 import inspect
+import logging
 
-from accelerate.logging import get_logger
 from transformers import LlamaForCausalLM
 from transformers.trainer import Trainer
 
 from axolotl.monkeypatch.unsloth_ import detab_code
 
-LOG = get_logger("axolotl.monkeypatch.trainer_grad_accum")
+LOG = logging.getLogger("axolotl.monkeypatch.trainer_grad_accum")
 
 ORIGINAL_CONTEXT_CODE = """
     with self.compute_loss_context_manager():
@@ -145,7 +145,7 @@ def patch_training_step_for_ga():
         globals(),
     )
     exec(training_step, globals())  # pylint: disable=exec-used  # nosec B102
-    LOG.info("patching training_step", main_process_only=True)
+    LOG.info("patching training_step")
     Trainer.training_step = (  # pylint: disable=protected-access
         _fixed_training_step  # pylint: disable=undefined-variable  # noqa: F821
     )
@@ -201,7 +201,7 @@ def patch_forward_for_ga():
         globals(),
     )
     exec(forward, globals())  # pylint: disable=exec-used  # nosec B102
-    LOG.info("patching forward", main_process_only=True)
+    LOG.info("patching forward")
     LlamaForCausalLM.forward = (  # pylint: disable=protected-access
         _fixed_forward  # pylint: disable=undefined-variable  # noqa: F821
     )

src/axolotl/monkeypatch/unsloth_.py

@@ -102,7 +102,14 @@ def detab_code(code: str) -> Tuple[str, str]:
     return code, spaces
 
 
+self_attn_lora_patched = False  # pylint: disable=invalid-name
+
+
 def patch_self_attn_lora():
+    global self_attn_lora_patched  # pylint: disable=global-statement
+    if self_attn_lora_patched:
+        # prevent patching multiple times
+        return
     self_attn_forward = get_self_attn_code()
     LlamaFlashAttention2._original_forward = (  # pylint: disable=protected-access
         self_attn_forward
@@ -134,6 +141,7 @@ def patch_self_attn_lora():
         globals(),
     )
     exec(self_attn_forward, globals())  # pylint: disable=exec-used  # nosec B102
+    self_attn_lora_patched = True
     LOG.info("patching unsloth attn lora", main_process_only=True)
     LlamaFlashAttention2.forward = (
         unsloth_attn_forward  # pylint: disable=undefined-variable  # noqa: F821

tests/conftest.py

@@ -2,7 +2,9 @@
 shared pytest fixtures
 """
 import functools
+import importlib
 import shutil
+import sys
 import tempfile
 import time
 
@@ -113,3 +115,30 @@ def temp_dir():
     yield _temp_dir
     # Clean up the directory after the test
     shutil.rmtree(_temp_dir)
+
+
+@pytest.fixture(scope="function", autouse=True)
+def cleanup_monkeypatches():
+    from transformers.models.llama.modeling_llama import LlamaFlashAttention2
+
+    original_fa2_forward = LlamaFlashAttention2.forward
+    # monkey patches can happen inside the tests
+    yield
+    # Reset LlamaFlashAttention2 forward
+    LlamaFlashAttention2.forward = original_fa2_forward
+
+    # Reset other known monkeypatches
+    modules_to_reset: list[tuple[str, list[str]]] = [
+        ("transformers.models.llama.modeling_llama", ["LlamaFlashAttention2"]),
+        ("transformers.trainer",),
+        ("transformers.loss.loss_utils",),
+    ]
+    for module_name_tuple in modules_to_reset:
+        module_name = module_name_tuple[0]
+        module = importlib.import_module(module_name)
+        sys.modules[module_name] = module
+        importlib.reload(sys.modules[module_name])
+        if len(module_name_tuple) > 1:
+            module_globals = module_name_tuple[1]
+            for module_global in module_globals:
+                globals().pop(module_global, None)