Comments (4)
In our paper, we may want to paste some case studies (our generated graphs) and if we only paste graphs like this, I think reviewers will challenge us a lot. e.g., "why the generated graphs are always unconnected/unreal?".
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Maybe, based on the graph size, we should limit the number of such nodes. Say if we are going to create N nodes, #(input) + #(cons) < sqrt(N), etc.
from nnsmith.
The example I listed above is actually because layout analysis of argmax/argmin is not being well implemented in TVM.
from nnsmith.
should be solved by fw-bw insertion
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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
- Problems encountered while compiling the onnx model HOT 4
- [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
- Instruction of TVM COV HOT 4
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