E2E tests failing on main branch (Commit: b834f94b) #4386
Description
Hello,
I am encountering failures in the end-to-end (e2e) test suite on the current HEAD of the repository. The build completes successfully but e2e tests fail with the current syndrome:
./tools/e2e_test.sh
TORCH_VERSION_FOR_COMPARISON = 2.10.0.dev20251016
TORCH_VERSION_FOR_COMPARISON = 2.10.0.dev20251016
/local-ssd/hravisha/torch-mlir-upstream/mlir_venv/lib/python3.11/site-packages/torch/backends/mkldnn/__init__.py:89: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:243.)
torch._C._set_onednn_allow_tf32(_allow_tf32)
At least one of testing processes has exited with code != 0.
./tools/e2e_test.sh --filter Conv2d --verbose
RuntimeError:
attribute lookup is not defined on builtin:
File "/local-ssd/hravisha/torch-mlir-upstream/build/tools/torch-mlir/python_packages/torch_mlir/torch_mlir_e2e_test/test_suite/conv.py", line 1769
def _forward(self, inputVec, weight, scales, zeropoints, bias):
inputVec = torch.ops.quantized_decomposed.dequantize_per_tensor.default(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
inputVec, 0.01, 7, -128, 127, torch.int8
)
Environment
OS: Debian 12
Commit Hash: b834f94
Python Version: Python 3.11.2
PyTorch Version: 2.10.0.dev20251016
Build Type: Release with Assertions
Reproduction Steps
Clone/Checkout llvm/torch-mlir at HEAD.
Sync submodules (git submodule update --init --recursive).
Build project using:
cmake -GNinja -Bbuild \
-DCMAKE_BUILD_TYPE=RelWithDebInfo \
-DPython3_FIND_VIRTUALENV=ONLY \
-DPython_FIND_VIRTUALENV=ONLY \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$PWD" \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DLLVM_TARGETS_TO_BUILD=host \
externals/llvm-project/llvm \
-DCMAKE_C_COMPILER=clang \
-DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DLLVM_USE_LINKER=lld \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DTORCH_MLIR_ENABLE_JIT_IR_IMPORTER=ON \
-DTORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS=ON \
-DCMAKE_EXPORT_COMPILE_COMMANDS=ON
cd build
cmake --build .
Run the e2e tests:
https://github.com/llvm/torch-mlir/blob/main/docs/development.md#running-execution-end-to-end-tests