Segmentation fault when building an ICudaEngine in TensorRT3

Accelerated Computing CUDA CUDA Programming and Performance
1

Hi

Why do I get a segmentation fault when building an ICudaEngine running

// create the builder
	IBuilder* builder = createInferBuilder(gLogger);

	// parse the caffe model to populate the network, then set the outputs
	INetworkDefinition* network = builder->createNetwork();
	ICaffeParser* parser = createCaffeParser();
	parser->setPluginFactory(pluginFactory);

	std::cout << "Begin parsing model..." << std::endl;
	const IBlobNameToTensor* blobNameToTensor = parser->parse(locateFile(deployFile).c_str(),
		locateFile(modelFile).c_str(),
		*network,
		DataType::kFLOAT);
	std::cout << "End parsing model..." << std::endl;
	// specify which tensors are outputs
	for (auto& s : outputs)
		network->markOutput(*blobNameToTensor->find(s.c_str()));

	// Build the engine
	builder->setMaxBatchSize(maxBatchSize);
	builder->setMaxWorkspaceSize(10 << 20);	// we need about 6MB of scratch space for the plugin layer for batch size 5

	std::cout << "Begin building engine..." << std::endl;
	ICudaEngine* engine = builder->buildCudaEngine(*network);
	assert(engine);
	std::cout << "End building engine..." << std::endl;

	// we don't need the network any more, and we can destroy the parser
	network->destroy();
	parser->destroy();

	// serialize the engine, then close everything down
	(*gieModelStream) = engine->serialize();

	engine->destroy();
	builder->destroy();
	shutdownProtobufLibrary();

Begin building engine...

Thread 1 "sample_fasterRC" received signal SIGSEGV, Segmentation fault.
0x00007fffe7994ba7 in nvinfer1::Network::validate(nvinfer1::cudnn::HardwareContext const&, bool, bool, int) const ()
   from /home/TensorRT-3/TensorRT-3.0.1/lib/libnvinfer.so.4

I can correctly build a cuda engine when running the jetson-inference samples. Does this mean that there is something wrong with the network I implemented?