Open jinchen62 opened 1 month ago
onnx.Conv in #566 has been fixed by disable quantized 1d conv. This should be a different conv error.
Better to add the failed op into https://github.com/nod-ai/SHARK-Turbine/issues/797
onnx.Batchnorm in https://github.com/nod-ai/SHARK-Turbine/issues/566 also has been fixed by bump iree. This should be a different error. Maybe you should check vivek's patch https://github.com/llvm/torch-mlir/pull/3597
Hi @jinchen62, can you please update this issue, since it seems some of these have been fixed.
@vivekkhandelwal1 Nothing was changed by Monday, will verify and update weekly.
Below is the list of HF CNN fp32 model issues for Full model list. Tests are imported in https://github.com/nod-ai/SHARK-TestSuite/pull/313.
Steps: Build torch-mlir and iree locally
model-run
onnx-import
torch-mlir
cubic
mode attr (11 models) https://github.com/nod-ai/SHARK-Turbine/issues/814bidirectional
direction attr (1 model) https://github.com/nod-ai/SHARK-Turbine/issues/315onnx.AveragePool (5 models)onnx.Conv (10 models)onnx.Mul with shape mismatch (3 models)onnx.Split crash (6 models)onnx.Transpose (280 models)killed (8 models)iree-compile
integer value too large (40 models) https://github.com/llvm/torch-mlir/issues/3621Note: Use --torchtolinalg flag to lower the IR to linalg through torch-mlirinference