operation.cpp:203: DCHECK(!i->is_use_only()) failed.

Description

When use trtexec to build a onnx, then raise

[05/21/2024-21:01:40] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0205211
[05/21/2024-21:01:40] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Padding Tactic: 0x0000000000000000
[05/21/2024-21:01:40] [V] [TRT] =============== Computing costs for
[05/21/2024-21:01:40] [V] [TRT] *************** Autotuning format combination: Float(96,16,4,1), Float(1440,45,9,1), Float(3360,105,15,1), Float(10368,324,27,1), Float(36608,1144,52,1) -> Float(73728,73728,8,2,1), Float(55296,9216,1,1), Float(9216,1,1), Float(2359296,256,1), Float(2359296,256,1), Float(294912,9216,96,1) ***************
[05/21/2024-21:01:40] [V] [TRT] --------------- Timing Runner: {ForeignNode[1440...Transpose_1934 + Reshape_1941]} (Myelin)
operation.cpp:203: DCHECK(!i->is_use_only()) failed.
Aborted

Similar case https://forums.developer.nvidia.com/t/tensorrt-conversion-fails-with-dcheck-i-is-use-only/237282

My onnx has some large gemm op, it affect this error ?
Does trt has any restrictions on matrix multiplication operations ?

Environment

TensorRT Version: 8.5.10

NVIDIA GPU:rtx2000

CUDA Version:11.4

CUDNN Version:11.6

Operating System:ubuntu20.04

Python Version (if applicable):3.8

Steps To Reproduce

trtexec --onnx=bevf2_simp.onnx --verbose