Remove conftest diffs

Signed-off-by: John St. John <jstjohn@nvidia.com>

Author: jstjohn

bionemo-recipes/recipes/evo2_megatron/tests/bionemo/evo2/conftest.py

@@ -14,42 +14,15 @@
 # limitations under the License.
 
 
-# conftest.py
-# ruff: noqa: E402, I001
 import copy
 import gc
-import importlib
 import os
 import shlex
 import subprocess
-import sys
 from pathlib import Path
-from types import ModuleType
 
 import pytest
-
-# Load Transformer Engine's core library before torch; this avoids a CUDA library
-# symbol-resolution failure seen when Megatron imports torch before TE is loaded.
-importlib.import_module("transformer_engine.pytorch")
-torch = importlib.import_module("torch")
-
-# Megatron Bridge imports Transformers conversion modules during collection. In
-# this NGC image, torchvision is present but its custom ops are unavailable, so
-# make Transformers skip optional vision imports for these non-vision tests.
-transformers_import_utils = importlib.import_module("transformers.utils.import_utils")
-transformers_import_utils._torchvision_available = False
-
-
-# Megatron Bridge eagerly imports VLM recipe modules through its recipes package.
-# Those modules import qwen_vl_utils, which imports torchvision. Provide the
-# non-vision tests with a stub so Evo2 collection does not depend on VLM extras.
-def _unavailable_process_vision_info(*args, **kwargs):
-    raise RuntimeError("qwen_vl_utils is unavailable in Evo2 tests")
-
-
-qwen_vl_utils = ModuleType("qwen_vl_utils")
-qwen_vl_utils.process_vision_info = _unavailable_process_vision_info
-sys.modules["qwen_vl_utils"] = qwen_vl_utils
+import torch
 
 from bionemo.core.data.load import load as bionemo_load
 from bionemo.evo2.data.dataset_tokenizer import DEFAULT_HF_TOKENIZER_MODEL_PATH_512