Using tf_to_trt_image_classification with DLA support

[cmehrshad]

I have modified uff_to_plan.cpp to use DLA on Xavier Using the following function:

inline void enableDLA(IBuilder* b, int dlaID)
{
    b->allowGPUFallback(true);
    b->setFp16Mode(true);
    b->setDefaultDeviceType(static_cast<DeviceType>(dlaID));
}

The output is:

./build/examples/classify_image/classify_image data/images/gordon_setter.jpg data/plans/inception_v1.plan data/imagenet_labels_1001.txt input InceptionV1/Logits/SpatialSqueeze inception
Loading TensorRT engine from plan file...
Preprocessing input...
Executing inference engine...

The top-5 indices are: 215 235 166 214 213
Which corresponds to class labels:
0. Gordon setter

1. Rottweiler
2. black-and-tan coonhound
3. Irish setter, red setter
4. English setter
   dla/eglUtils.cpp (121) - EGL Error in validateEglStream: 12289
   terminate called after throwing an instance of 'nvinfer1::EglError'
   what(): std::exception
   Aborted (core dumped)

Do you have a clue how can I use DLA with this project?
Thanks,