Unable to load library: nvinfer_builder_resource.dll failure of TensorRT 8.6 when running assert tensorrt.Builder(tensorrt.Logger()) on GPU NVIDIA GeForce RTX 4060

Description

I installed TensorRT and CUDNN on Windows for using with yoloV8.
Following nvidia documentation (zip installation): TensorRT installation documentation

But when I ran this code on Python3.11:

import tensorrt
print(tensorrt.__version__)
assert tensorrt.Builder(tensorrt.Logger())

this happens:

"nvinfer_builder_resource.dll" this file is located on "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin" and this location is added on system environment path.

what can I do for resolve this error.

Environment

TensorRT Version: 8.6.1.6
GPU Type: NVIDIA GeForce RTX 4060
Nvidia Driver Version: 536.40
CUDA Version: 12.1
CUDNN Version: 8.9.0.131
Operating System + Version: Windows 11
Python Version (if applicable): 3.11
TensorFlow Version (if applicable):
PyTorch Version (if applicable): 2.1.1
Baremetal or Container (if container which image + tag):

Steps To Reproduce

It can be help you:

import torch
import tensorrt
print(tensorrt.__version__)
print(torch.version.cuda)
print(torch.backends.cudnn.version())

Output:
8.6.1
12.1
8801

Installation steps for TensorRT:
https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-861/install-guide/index.html#installing-zip

Installation steps for CUDNN:
https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#install-windows