How to compare the precision layer by layer with engine(for example, tensorRT) if I have a custom operator in my onnx (and a corresponding plugin in TensorRT)?

[MyraYu2022]

Description

I used to check my engine(tensorRT) layer by layer with onnx using polygraphy tool. But I have a custom operator writen by myself in my onnx, and a corresponding plugin in my tensorRT now and how can I compare them layer by layer using polygraphy?

I write the .sh script like this:

 polygraphy run my_model_with_custom_operator.onnx  \
                --onnxrt --trt  \
                --trt-outputs mark all  \
                --onnx-outputs mark all  \
                --atol 1e-3  --rtol 1e-3  \
                --fail-fast  \
                --val-range [0,1]  \
                --verbose 

And I get error as below:
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Fatal error: customPlugin(-1) is not a registered function/op

Thank you very much.

Environment

TensorRT Version:
8.4.0.6

NVIDIA Driver Version:
535.183.01

CUDA Version:
11.3

CUDNN Version:
8.3.2.44

Operating System:

Python Version (if applicable):
3.9.7

PyTorch Version (if applicable):
1.13.0

[skottmckay]

#22938

[MyraYu2022]

Thank you very much, it really helps a lot. But when I use the python API register_custom_ops_library within onnxruntime.SessionOptions, I got an error.

I wrote my python code like this:

options = onnxruntime.SessionOptions()
options.register_custom_ops_library("path of mylib.so")

And I got error:
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Faild to load library mylib.so with error: mylib.so: undefined symbol: OrtGetApiBase

I would like to know is it something wrong with my library.so file?
I wrote and build my .so file reference to the example in onnxruntime/test/testdata/custom_op_library,
my custom_op_library.cc file is like this:

static const char* cust_lib = "riscv_test";
OrtStatus* ORT_API_CALL RegisterCustomOps(OrtSessionOptions* options, const OrtApiBase* api) {
   Ort::Global<void>::api_ = api->GetApi(ORT_API_VERSION);
   Ort::CustomOpDomain domain{cust_lib};

   std::unique_ptr<Ort::Custom::OrtLiteCustomOp> custom{Ort::Custom::CreateLiteCustomOp("Custom", "CPUExecutionProvider", 
        CustomKernel)};
   domain.Add(custom.get());

   Ort::UnownedSessionOptions session_options(options);
   session_options.Add(domain);
   AddOrtCustomOpDomainToContainer(std::move(domain));
   return nullptr;
}

Thanks.