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Update TensorRT version on README & change uff API #40

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Update TensorRT version on README & change uff API #40

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6 changes: 3 additions & 3 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -70,14 +70,14 @@ for implementation details.
sudo pip install tensorflow-1.5.0rc0-cp27-cp27mu-linux_aarch64.whl

4. Install uff exporter on Jetson TX2.
1. Download TensorRT 3.0.4 for Ubuntu 16.04 and CUDA 9.0 tar package from https://developer.nvidia.com/nvidia-tensorrt-download.
1. Download TensorRT 5.0.2 for Ubuntu 16.04 and CUDA 9.0 tar package from https://developer.nvidia.com/nvidia-tensorrt-download.
2. Extract archive

tar -xzf TensorRT-3.0.4.Ubuntu-16.04.3.x86_64.cuda-9.0.cudnn7.0.tar.gz
tar -xzf TensorRT-5.0.2.6.Ubuntu-16.04.4.x86_64-gnu.cuda-9.0.cudnn7.3.tar.gz

3. Install uff python package using pip

sudo pip install TensorRT-3.0.4/uff/uff-0.2.0-py2.py3-none-any.whl
sudo pip install TensorRT-5.0.2.6/uff/uff-0.5.5-py2.py3-none-any.whl

5. Clone and build this project

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2 changes: 1 addition & 1 deletion src/uff_to_plan.cpp
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Expand Up @@ -68,7 +68,7 @@ int main(int argc, char *argv[])
IBuilder *builder = createInferBuilder(gLogger);
INetworkDefinition *network = builder->createNetwork();
IUffParser *parser = createUffParser();
parser->registerInput(inputName.c_str(), DimsCHW(3, inputHeight, inputWidth));
parser->registerInput(inputName.c_str(), DimsCHW(3, inputHeight, inputWidth), UffInputOrder::kNCHW);
parser->registerOutput(outputName.c_str());
if (!parser->parse(uffFilename.c_str(), *network, dataType))
{
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