Failure to convert onnx model to trt (parsing failure/engine setup failure)


I am trying to convert the following model to onnx, then convert it to .trt:

I import the pickled file then I convert it to onnx using the command:

This operation is provided in detail in the file:

The I try to convert to trt using trtexec, but the trt conversion fails. I used the commands, their results are provided at the end:
./trtexec --onnx=bfm_noneck_v3.onnx --saveEngine=bfm_noneck_v3.trt
./trtexec --onnx=bfm_noneck_v3.onnx --saveEngine=bfm_noneck_v3.trt --verbose
./trtexec --onnx=bfm_noneck_v3.onnx --saveEngine=bfm_noneck_v3.trt --shapes=R:3x3,offset:3x1,alpha_shp:40x1,alpha_exp:10x1


TensorRT Version:
GPU Type: NVIDIA GeForce RTX 2060 with Max-Q Design
Nvidia Driver Version: nvidia-driver-530
CUDA Version: 12.1
CUDNN Version:
Operating System + Version: Ubuntu 22.04
Python Version (if applicable): 3.9.12
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):

Relevant Files

bfm_noneck_v3.onnx (22.4 MB)

trtexec results:

# with --verbose flag:
[03/29/2023-11:09:50] [V] [TRT] Squeeze_3 [Squeeze] outputs: [onnx::Add_7 -> (3, 38365)[FLOAT]],  
[03/29/2023-11:09:50] [V] [TRT] Parsing node: Constant_4 [Constant]
[03/29/2023-11:09:50] [V] [TRT] Constant_4 [Constant] inputs:  
[03/29/2023-11:09:50] [V] [TRT] Constant_4 [Constant] outputs: [onnx::Add_8 -> (3, 38365)[FLOAT]],  
[03/29/2023-11:09:50] [V] [TRT] Parsing node: Add_5 [Add]
[03/29/2023-11:09:50] [V] [TRT] Searching for input: onnx::Add_8
[03/29/2023-11:09:50] [V] [TRT] Searching for input: onnx::Add_7
[03/29/2023-11:09:50] [V] [TRT] Add_5 [Add] inputs: [onnx::Add_8 -> (3, 38365)[FLOAT]], [onnx::Add_7 -> (3, 38365)[FLOAT]],  
[03/29/2023-11:09:50] [V] [TRT] Registering layer: onnx::Add_8 for ONNX node: onnx::Add_8
[03/29/2023-11:09:50] [V] [TRT] Registering layer: Add_5 for ONNX node: Add_5
[03/29/2023-11:09:50] [V] [TRT] Registering tensor: onnx::MatMul_9 for ONNX tensor: onnx::MatMul_9
[03/29/2023-11:09:50] [V] [TRT] Add_5 [Add] outputs: [onnx::MatMul_9 -> (3, 38365)[FLOAT]],  
[03/29/2023-11:09:50] [V] [TRT] Parsing node: MatMul_6 [MatMul]
[03/29/2023-11:09:50] [V] [TRT] Searching for input: R
[03/29/2023-11:09:50] [V] [TRT] Searching for input: onnx::MatMul_9
[03/29/2023-11:09:50] [V] [TRT] MatMul_6 [MatMul] inputs: [R -> (3, 3)[FLOAT]], [onnx::MatMul_9 -> (3, 38365)[FLOAT]],  
[03/29/2023-11:09:50] [V] [TRT] Registering layer: MatMul_6 for ONNX node: MatMul_6
[03/29/2023-11:09:50] [V] [TRT] Registering tensor: onnx::Add_10 for ONNX tensor: onnx::Add_10
[03/29/2023-11:09:50] [V] [TRT] MatMul_6 [MatMul] outputs: [onnx::Add_10 -> (3, 38365)[FLOAT]],  
[03/29/2023-11:09:50] [V] [TRT] Parsing node: Add_7 [Add]
[03/29/2023-11:09:50] [V] [TRT] Searching for input: onnx::Add_10
[03/29/2023-11:09:50] [V] [TRT] Searching for input: offset
[03/29/2023-11:09:50] [V] [TRT] Add_7 [Add] inputs: [onnx::Add_10 -> (3, 38365)[FLOAT]], [offset -> (3, 1)[FLOAT]],  
[03/29/2023-11:09:50] [V] [TRT] Registering layer: Add_7 for ONNX node: Add_7
[03/29/2023-11:09:50] [V] [TRT] Registering tensor: output_0 for ONNX tensor: output
[03/29/2023-11:09:50] [V] [TRT] Add_7 [Add] outputs: [output -> (3, 38365)[FLOAT]],  
[03/29/2023-11:09:50] [V] [TRT] Marking output_0 as output: output
[03/29/2023-11:09:50] [I] Finished parsing network model. Parse time: 0.0317031
Segmentation fault (core dumped)
# no verbose, with: --shapes=R:3x3,offset:3x1,alpha_shp:40x1,alpha_exp:10x1
[03/29/2023-11:14:26] [I] Start parsing network model.
[03/29/2023-11:14:26] [I] [TRT] ----------------------------------------------------------------
[03/29/2023-11:14:26] [I] [TRT] Input filename:   aaaa.onnx
[03/29/2023-11:14:26] [I] [TRT] ONNX IR version:  0.0.6
[03/29/2023-11:14:26] [I] [TRT] Opset version:    11
[03/29/2023-11:14:26] [I] [TRT] Producer name:    pytorch
[03/29/2023-11:14:26] [I] [TRT] Producer version: 1.12.1
[03/29/2023-11:14:26] [I] [TRT] Domain:            
[03/29/2023-11:14:26] [I] [TRT] Model version:    0
[03/29/2023-11:14:26] [I] [TRT] Doc string:        
[03/29/2023-11:14:26] [I] [TRT] ----------------------------------------------------------------
[03/29/2023-11:14:26] [I] [TRT] MatMul_2: broadcasting input1 to make tensors conform, dims(input0)=[3,38365,50][NONE] dims(input1)=[1,50,1][NONE].
[03/29/2023-11:14:26] [I] Finished parsing network model. Parse time: 0.0326259
[03/29/2023-11:14:26] [E] Static model does not take explicit shapes since the shape of inference tensors will be determined by the model itself
[03/29/2023-11:14:26] [E] Network And Config setup failed
[03/29/2023-11:14:26] [E] Building engine failed
[03/29/2023-11:14:26] [E] Failed to create engine from model or file.
[03/29/2023-11:14:26] [E] Engine set up failed

Request you to share the ONNX model and the script if not shared already so that we can assist you better.
Alongside you can try few things:

  1. validating your model with the below snippet

import sys
import onnx
filename = yourONNXmodel
model = onnx.load(filename)
2) Try running your model with trtexec command.

In case you are still facing issue, request you to share the trtexec “”–verbose"" log for further debugging


The onnx model is already attached, and the onnx checker passes okay. It is not possible to run the onnx from trtexec without converting it first.

Hi @elight1 ,

Would you like to check the relevant post.
This may help .