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Description
Steps to reproduce:
python run.py -t <testname> -b llvm-cpu -d local-task -c x86_64-linux-gnu --mode=cl-onnx-iree --cleanup=3 --get-metadata -v
Tests failing:
hf_Mistral-7B-Instruct-v0.2-GPTQ
Should get following Error/Stacktrace:
File "/home/vivekag/scratch/AIGShark/nodai/SharkTestSuite_nightly/nightly.env/lib/python3.10/site-packages/optimum/exporters/onnx/convert.py", line 563, in export_pytorch
onnx_export(
File "/home/vivekag/scratch/AIGShark/nodai/SharkTestSuite_nightly/nightly.env/lib/python3.10/site-packages/torch/onnx/__init__.py", line 383, in export
export(
File "/home/vivekag/scratch/AIGShark/nodai/SharkTestSuite_nightly/nightly.env/lib/python3.10/site-packages/torch/onnx/utils.py", line 495, in export
_export(
File "/home/vivekag/scratch/AIGShark/nodai/SharkTestSuite_nightly/nightly.env/lib/python3.10/site-packages/torch/onnx/utils.py", line 1428, in _export
graph, params_dict, torch_out = _model_to_graph(
File "/home/vivekag/scratch/AIGShark/nodai/SharkTestSuite_nightly/nightly.env/lib/python3.10/site-packages/torch/onnx/utils.py", line 1057, in _model_to_graph
graph = _optimize_graph(
File "/home/vivekag/scratch/AIGShark/nodai/SharkTestSuite_nightly/nightly.env/lib/python3.10/site-packages/torch/onnx/utils.py", line 632, in _optimize_graph
graph = _C._jit_pass_onnx(graph, operator_export_type)
File "/home/vivekag/scratch/AIGShark/nodai/SharkTestSuite_nightly/nightly.env/lib/python3.10/site-packages/torch/onnx/utils.py", line 1709, in _run_symbolic_function
raise errors.UnsupportedOperatorError(
torch.onnx.errors.UnsupportedOperatorError: Exporting the operator 'aten::bitwise_and' to ONNX opset version 14 is not supported. Support for this operator was added in version 18, try exporting with this version.
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