Could not find any implementation for node /model.22/proto/cv3/conv/Conv + PWN(PWN(/model.22/proto/cv3/act/Sigmoid), /model.22/proto/cv3/act/Mul). failure of TensorRT 8.6.1 when running C++ TensorRT.trtexec on GPU GeForce RTX 4060

Description

In windows system , I use tensorRT C++ tools trtexec.exe to quantificat yolov8n-seg.onnx fails with error ：

Could not find any implementation for node /model.22/proto/cv3/conv/Conv + PWN(PWN(/model.22/proto/cv3/act/Sigmoid), /model.22/proto/cv3/act/Mul).

My input:
trtexec --onnx=yolov8n-seg.onnx --int8 --saveEngine=yolov8s-seg-int8.engine --calib=none --workspace=4096 --verbose --minShapes=images:1x3x640x640 --optShapes=images:4x3x640x640 --maxShapes=images:8x3x640x640

Use tensorRT 8.6.1 C++ API to quantization is the same error!!!

Use tensorRT 8.6.1 python API to quantization is fine!!!!

I have tried the higher version of tensorRT, but the same error still occurred.

Do the two versions have any different processing methods for the YOLOv8 segmentation model?
I want to use the C++ interface to conduct quantitative analysis.

Could you please help me solve this problem? Thank you very much.

The attachment contains my complete log and code.
yolov8_tensorRT.zip

Environment

TensorRT Version: 8.6.1

NVIDIA GPU: GeForce RTX 4060

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Tue_Feb_27_16:28:36_Pacific_Standard_Time_2024
Cuda compilation tools, release 12.4, V12.4.99
Build cuda_12.4.r12.4/compiler.33961263_0

[08/14/2025-18:48:50] [I] [TRT] Input filename: yolov8n-seg.onnx
[08/14/2025-18:48:50] [I] [TRT] ONNX IR version: 0.0.7
[08/14/2025-18:48:50] [I] [TRT] Opset version: 13
[08/14/2025-18:48:50] [I] [TRT] Producer name: pytorch
[08/14/2025-18:48:50] [I] [TRT] Producer version: 2.4.0
[08/14/2025-18:48:50] [I] [TRT] Domain:
[08/14/2025-18:48:50] [I] [TRT] Model version: 0
[08/14/2025-18:48:50] [I] [TRT] Doc string:

MyLog:

(base) C:\Users\Administrator\Desktop\yolov8_tensorRT>trtexec --onnx=yolov8n-seg.onnx --int8 --saveEngine=yolov8s-seg-int8.engine --calib=none --workspace=4096 --verbose --minShapes=images:1x3x640x640 --optShapes=images:4x3x640x640 --maxShapes=images:8x3x640x640 >log2.txt
[08/14/2025-19:27:58] [W] --workspace flag has been deprecated by --memPoolSize flag.
[08/14/2025-19:28:03] [W] [TRT] onnx2trt_utils.cpp:374: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Squeeze_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Squeeze_1_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Squeeze_2_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 367) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 368) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 378) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 382) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 383) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 393) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Reshape_6_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Reshape_7_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 457) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 458) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 468) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 472) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 473) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 483) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Reshape_11_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Reshape_12_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 547) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 548) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 558) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 562) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 563) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 573) [Constant]output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Reshape_16_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/Reshape_17_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor /model.22/dfl/Softmax_output_0, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[08/14/2025-19:28:56] [W] [TRT] Missing scale and zero-point for tensor (Unnamed Layer* 739) [Constant]output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
**[08/14/2025-19:33:23] [E] Error[10]: Could not find any implementation for node /model.22/proto/cv3/conv/Conv + PWN(PWN(/model.22/proto/cv3/act/Sigmoid), /model.22/proto/cv3/act/Mul).
[08/14/2025-19:33:23] [E] Error[10]: [optimizer.cpp::nvinfer1::builder::cgraph::LeafCNode::computeCosts::3869] Error Code 10: Internal Error (Could not find any implementation for node /model.22/proto/cv3/conv/Conv + PWN(PWN(/model.22/proto/cv3/act/Sigmoid), /model.22/proto/cv3/act/Mul).)**
[08/14/2025-19:33:23] [E] Engine could not be created from network
[08/14/2025-19:33:23] [E] Building engine failed
[08/14/2025-19:33:23] [E] Failed to create engine from model or file.
[08/14/2025-19:33:23] [E] Engine set up failed