Engine Creation and reading Doesnt work in windows

Hi all,

I was trying for creating an engine from sample code

Visual Studio 2017
windows 10

I have used the code snippets from https://github.com/dusty-nv/jetson-inference/ as suggested in https://devtalk.nvidia.com/default/topic/1030042/loading-of-the-tensorrt-engine-in-c-api/?offset=20

However the engine was successfully created.

// This is the code of writing engines////
IHostMemory* trtModelStreamtry = engine->serialize();
std::stringstream gieModelStream;
gieModelStream.seekg(0, gieModelStream.beg);
gieModelStream.write((const char*)trtModelStreamtry->data(), trtModelStreamtry->size());
std::ofstream outFile;
outFile << gieModelStream.rdbuf();

But I tried reading and restoring the engine using the following code

std::vector<char> trtModelStream_;
size_t size{ 0 };

std::ifstream file("outtest.engine", std::ios::binary);
if (file.good())
	file.seekg(0, file.end);
	size = file.tellg();
	file.seekg(0, file.beg);
	std::cout << "size" << trtModelStream_.size() << std::endl;
	file.read(trtModelStream_.data(), size);
std::cout << "size" << size;
IRuntime* runtime = createInferRuntime(gLogger);
assert(runtime != nullptr);
ICudaEngine* engine = runtime->deserializeCudaEngine(trtModelStream_.data(), size, nullptr);

It throws Exception thrown at 0x00007FFD2336E8B0 (nvinfer.dll) in sample_uff_mnist.exe: 0xC0000005: Access violation reading location 0x0000019563E06FA0.
during runtime->deserializeCudaEngine

Is engine creation and usage supported in windows ???


Have you managed to solve this problem? I’m experiencing nearly exactly the same problem in terms of the access violation when trying to load the newly created engine.


did you solve this problem yet? I coded a network definition using C++ API and am currently trying to build the CUDA engine. But it threw me an exception “Exception thrown at 0x00007FF828C282BB (nvcuda.dll) in Project2.exe: 0xC0000005: Access violation reading location 0x000000B828DA0000.” at:

auto engine = builder->buildCudaEngine(*network);

I really appreciate any suggestions! Thank you!

@he44 what you are facing is some other issue. if you follow sample codes from TensorRT you should not recieve those errors.

@jmirza no i havent solved it yet