Comments (4)
I entered the tvm environment to reinstall the required configuration for nnsmith and ran the command "nnsmith. model_exec model. type=onnx"\
Backend. type=onnxruntime\
Model. path=nnsmith_ Output/model.onnx\
Cmp. with='{type: tvm, optmax: true, target: CPU}' 'conducted differential testing, but encountered an error as shown in the above figure. Can someone help me identify the cause.
Well, this is a TVM problem and nnsmith cannot help here.
More specifically, the pre-built TVM binary is compiled using a GLibC version which is newer than what your OS has right now. You can either recompile TVM locally to use your local glibc or install a newer glibc in conda.
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I entered the tvm environment to reinstall the required configuration for nnsmith and ran the command "nnsmith. model_exec model. type=onnx"
Backend. type=onnxruntime
Model. path=nnsmith_ Output/model.onnx
Cmp. with='{type: tvm, optmax: true, target: CPU}' 'conducted differential testing, but encountered an error as shown in the above figure. Can someone help me identify the cause.Well, this is a TVM problem and nnsmith cannot help here.
More specifically, the pre-built TVM binary is compiled using a GLibC version which is newer than what your OS has right now. You can either recompile TVM locally to use your local glibc or install a newer glibc in conda.
I understand. Thanks for your help.
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I entered the tvm environment to reinstall the required configuration for nnsmith and ran the command "nnsmith. model_exec model. type=onnx"\
Backend. type=onnxruntime\
Model. path=nnsmith_ Output/model.onnx\
Cmp. with='{type: tvm, optmax: true, target: CPU}' 'conducted differential testing, but encountered an error as shown in the above figure. Can someone help me identify the cause.
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Thanks for reporting the issue. Looks like you are right, onnx
updated their API in 1.15.0
to load_from_string
. Please bear a bit by downgrading the onnx versions for now before I brought up a fix.
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Related Issues (20)
- [Tracking] Make Python >= 3.8 mandatory
- 💡 [Dynamic Graph] - Does nnsmith support dynamic graphs? HOT 3
- 💡 [REQUEST] TF Coverage Tutorial and Script
- TF Coverage Scripts and Tutorial HOT 1
- [Dev] `hydra` -> `click`
- [Question] Customize the number of input/output variables in generated graphs HOT 9
- 💡 [REQUEST] - Tutorial of adding a new operator for GIR HOT 4
- 🐛 [BUG] - <`ONNXModelCPU_tvm_0.9.0_cpu.yaml` file was empty, can't get opset properly properly> HOT 11
- Render seems to not work HOT 6
- 🐛 [BUG] - There is a problem with relative import in `fuzz.py` HOT 2
- Some questions about the replication of the experiment HOT 6
- [Help wanted] How to get the shape of the output tensor of a operator HOT 5
- [Help wanted] How to get the result of executing model_exec.py? HOT 7
- [User Question] integer type annotation in TVM HOT 2
- 🐛 [BUG] - <An error occurred when loading the onnx model generated by nnsmith using tvm.delay.> HOT 1
- [Help Wanted] Problems encountered when converting the onnx model to tvm.relay HOT 3
- [Help Wanted] How to only generate sequential models HOT 2
- Help Wanted - How does one generate minimum code examples from NNSmith bug reports HOT 3
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