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I have a DINO model with a SWIN backbone that i want to try using certain TRT optimizations on the onnx model itself. I am trying to use the symbolic shape infer since the first effort gave me this error
| UNAVAILABLE: Internal: onnx runtime error 6: Exception during initialization: /workspace/onnxruntime/onnxruntime/core/providers/tensorrt/tensorr |
| | | t_execution_provider.cc:1387 SubGraphCollection_t onnxruntime::TensorrtExecutionProvider::GetSupportedList(SubGraphCollection_t, int, int, const |
| | | onnxruntime::GraphViewer&, bool*) const [ONNXRuntimeError] : 1 : FAIL : TensorRT input: value has no shape specified. Please run shape inferenc |
| | | e on the onnx model first. Details can be found in [NVIDIA - TensorRT](https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#shape-inferen) |
| | | ce-for-tensorrt-subgraphs
After running the shape infer command here, the conversion fails without much indication as to why
This issue has been automatically marked as stale due to inactivity and will be closed in 30 days if no further activity occurs. If further support is needed, please provide an update and/or more details.
Have you tried using latest script in the main branch? (btw, using script with --verbose could show more log)
If that's not helpful, could you share your model to repro this issue?
Describe the issue
I have a DINO model with a SWIN backbone that i want to try using certain TRT optimizations on the onnx model itself. I am trying to use the symbolic shape infer since the first effort gave me this error
After running the shape infer command here, the conversion fails without much indication as to why
To reproduce
Cannot share the onnx model due to the confidential nature
Urgency
Very urgent
Platform
Linux
OS Version
Ubuntu 20.07
ONNX Runtime Installation
Released Package
ONNX Runtime Version or Commit ID
1.15.1
ONNX Runtime API
Python
Architecture
X64
Execution Provider
TensorRT
Execution Provider Library Version
CUDA
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