How to tlt-convert an ssd model trained on Tranfer Learning Toolkit

Hello,

I trained a SSD model using the Transfer Learning toolkit.

I tried to deploy it on the jetson nano, however i got an error, something to do with BatchTile.

I read somewhere that i have to install tensorRT plugins on the nano and then replace my old plugin.so files.

However my tensorRT version is 5.1.6 and the latest i managed to find was 5.1.5.

Could you give me a more detailed guide on how to use the tlt-converter to deploy SSD models on deepstream.

Thank you in advance!

My Config:

Jetpack 4.2.1
Deepstream 4
TensorRT 5.1.6
Jetson Nano

Hi nooffence7100,
That’s right, you need to replace the old libnvinfer_plugin.so.
See https://github.com/NVIDIA-AI-IOT/deepstream_4.x_apps for reference.

Generate the plugin in your nano board.

Please note that TensorRT OSS 5.1 branch does not support cross compilation. To compile and replace the plugin,

$ git clone -b release/5.1 https://github.com/nvidia/TensorRT  && cd  TensorRT
$ git submodule update --init --recursive && export TRT_SOURCE=`pwd`
$ cd $TRT_SOURCE
$ mkdir -p build && cd build
$ wget https://github.com/Kitware/CMake/releases/download/v3.13.5/cmake-3.13.5.tar.gz
$ tar xvf cmake-3.13.5.tar.gz
$ cd cmake-3.13.5/ && ./configure && make && sudo make install
$ cd ..
$ /usr/local/bin/cmake .. -DTRT_BIN_DIR=`pwd`/out
$ make nvinfer_plugin -j$(nproc)
## The libnvinfer_plugin.so* will be available in the `pwd`/out folder.  Then replace the system lib with the newly built lib.
$ sudo cp /usr/lib/aarch64-linux-gnu/libnvinfer_plugin.so.5.x.x    /usr/lib/aarch64-linux-gnu/libnvinfer_plugin.so.5.x.x.bak
$ sudo cp `pwd`/out/libnvinfer_plugin.so.5.x.x    /usr/lib/aarch64-linux-gnu/libnvinfer_plugin.so.5.x.x

Hello,

I did the following on a new installation of jetpack after installing deepstream:

Created TensorOSS folder in home directory

  1. git clone -b release/5.1 https://github.com/nvidia/TensorRT && cd TensorRT
  2. git submodule update --init --recursive && export TRT_SOURCE=pwd
  3. cd $TRT_SOURCE
  4. mkdir -p build && cd build
  5. wget https://github.com/Kitware/CMake/releases/download/v3.13.5/cmake-3.13.5.tar.gz
  6. tar xvf cmake-3.13.5.tar.gz
  7. cd cmake-3.13.5/ && ./configure && make && sudo make install
  8. cd …
  9. /usr/local/bin/cmake … -DTRT_BIN_DIR=pwd/out

and I get this error:
ainano@ainano:~/TensorOSS/TensorRT/build$ /usr/local/bin/cmake … -DTRT_BIN_DIR=pwd/out
Building for TensorRT version: 5.1.5.0, library version: 5.1.5
CHECK for CUDA
– The CXX compiler identification is GNU 7.4.0
– The CUDA compiler identification is unknown
– Check for working CXX compiler: /usr/bin/g++
– Check for working CXX compiler: /usr/bin/g++ – works
– Detecting CXX compiler ABI info
– Detecting CXX compiler ABI info - done
– Detecting CXX compile features
– Detecting CXX compile features - done
CMake Error at CMakeLists.txt:47 (project):
No CMAKE_CUDA_COMPILER could be found.

Tell CMake where to find the compiler by setting either the environment
variable “CUDACXX” or the CMake cache entry CMAKE_CUDA_COMPILER to the full
path to the compiler, or to the compiler name if it is in the PATH.

– Configuring incomplete, errors occurred!
See also “/home/ainano/TensorOSS/TensorRT/build/CMakeFiles/CMakeOutput.log”.
See also “/home/ainano/TensorOSS/TensorRT/build/CMakeFiles/CMakeError.log”.

CMakeOutput.log:

The system is: Linux - 4.9.140-tegra - aarch64
Compiling the CXX compiler identification source file "CMakeCXXCompilerId.cpp" succeeded.
Compiler: /usr/bin/g++ 
Build flags: 
Id flags:  

The output was:
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Compilation of the CXX compiler identification source "CMakeCXXCompilerId.cpp" produced "a.out"

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make[1]: Leaving directory '/home/ainano/TensorOSS/TensorRT/build/CMakeFiles/CMakeTmp'


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Detecting CXX [-std=c++98] compiler features compiled with the following output:
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Run Build Command:"/usr/bin/make" "cmTC_39d24/fast"
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CMakeError.log:

Compiling the CUDA compiler identification source file "CMakeCUDACompilerId.cu" failed.
Compiler: CMAKE_CUDA_COMPILER-NOTFOUND 
Build flags: 
Id flags:  -v;--keep;--keep-dir;tmp

The output was:
No such file or directory


Compiling the CUDA compiler identification source file "CMakeCUDACompilerId.cu" failed.
Compiler: CMAKE_CUDA_COMPILER-NOTFOUND 
Build flags: 
Id flags:  -v;--keep;--keep-dir;tmp

The output was:
No such file or directory

I was able to overcome this problem by changing:
//CUDA compiler
CMAKE_CUDA_COMPILER:FILEPATH=/usr/local/cuda-10.0/bin/nvcc

in $TRT_SOURCE/build/CMakeCache.txt

This is the output from issuing the command now:

~/TensorOSS/TensorRT/build$ /usr/local/bin/cmake .. -DTRT_BIN_DIR=`pwd`/out
Building for TensorRT version: 5.1.5.0, library version: 5.1.5
CHECK for CUDA
-- The CUDA compiler identification is NVIDIA 10.0.326
-- Check for working CUDA compiler: /usr/local/cuda-10.0/bin/nvcc
-- Check for working CUDA compiler: /usr/local/cuda-10.0/bin/nvcc -- works
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Targeting TRT Platform: x86_64
-- CUDA version set to 10.1
-- cuDNN version set to 7.5
-- Protobuf version set to 3.0.0
-- Looking for C++ include pthread.h
-- Looking for C++ include pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE  
-- Found PkgConfig: /usr/bin/pkg-config (found version "0.29.1") 
-- Checking for one of the modules 'zlib'
-- Found CUDA: /usr/local/cuda (found suitable version "10.1", minimum required is "10.1") 
-- Using libprotobuf /home/ainano/TensorOSS/TensorRT/build/third_party.protobuf/lib/libprotobuf.a
-- ========================= Importing and creating target nvinfer ==========================
-- Looking for library nvinfer
-- Library that was found /usr/lib/aarch64-linux-gnu/libnvinfer.so
-- ==========================================================================================
-- ========================= Importing and creating target nvuffparser ==========================
-- Looking for library nvparsers
-- Library that was found /usr/lib/aarch64-linux-gnu/libnvparsers.so
-- ==========================================================================================
-- Protobuf proto/trtcaffe.proto -> proto/trtcaffe.pb.cc proto/trtcaffe.pb.h
-- /home/ainano/TensorOSS/TensorRT/build/parsers/caffe
-- The C compiler identification is GNU 7.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Build type not set - defaulting to Release
-- 
-- ******** Summary ********
--   CMake version         : 3.13.5
--   CMake command         : /usr/local/bin/cmake
--   System                : Linux
--   C++ compiler          : /usr/bin/g++
--   C++ compiler version  : 7.4.0
--   CXX flags             : -Wno-deprecated-declarations  -DBUILD_SYSTEM=cmake_oss -Wall -Wnon-virtual-dtor
--   Build type            : Release
--   Compile definitions   : _PROTOBUF_INSTALL_DIR=/home/ainano/TensorOSS/TensorRT/build/third_party.protobuf;ONNX_NAMESPACE=onnx2trt_onnx
--   CMAKE_PREFIX_PATH     : 
--   CMAKE_INSTALL_PREFIX  : /usr/local
--   CMAKE_MODULE_PATH     : 
-- 
--   ONNX version          : 1.3.0
--   ONNX NAMESPACE        : onnx2trt_onnx
--   ONNX_BUILD_TESTS      : OFF
--   ONNX_BUILD_BENCHMARKS : OFF
--   ONNX_USE_LITE_PROTO   : OFF
--   ONNXIFI_DUMMY_BACKEND : OFF
-- 
--   Protobuf compiler     : 
--   Protobuf includes     : 
--   Protobuf libraries    : 
--   BUILD_ONNX_PYTHON     : OFF
-- GPU_ARCH is not defined. Generating CUDA code for default SMs.
-- Found CUDNN: /usr/include  
-- Found TensorRT headers at /home/ainano/TensorOSS/TensorRT/include
-- Find TensorRT libs at /usr/lib/aarch64-linux-gnu/libnvinfer.so;/usr/lib/aarch64-linux-gnu/libnvinfer_plugin.so
-- Found TENSORRT: /home/ainano/TensorOSS/TensorRT/include  
-- Adding new sample: sample_char_rnn
--     - Parsers Used: none
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_fasterRCNN
--     - Parsers Used: caffe
--     - InferPlugin Used: ON
--     - Licensing: opensource
-- Adding new sample: sample_googlenet
--     - Parsers Used: caffe
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_int8
--     - Parsers Used: caffe
--     - InferPlugin Used: ON
--     - Licensing: opensource
-- Adding new sample: sample_int8_api
--     - Parsers Used: onnx
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_mlp
--     - Parsers Used: caffe
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_mnist
--     - Parsers Used: caffe
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_mnist_api
--     - Parsers Used: caffe
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_movielens
--     - Parsers Used: uff
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_onnx_mnist
--     - Parsers Used: onnx
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_plugin
--     - Parsers Used: caffe
--     - InferPlugin Used: ON
--     - Licensing: opensource
-- Adding new sample: sample_ssd
--     - Parsers Used: caffe
--     - InferPlugin Used: ON
--     - Licensing: opensource
-- Adding new sample: sample_uff_mnist
--     - Parsers Used: uff
--     - InferPlugin Used: OFF
--     - Licensing: opensource
-- Adding new sample: sample_uff_ssd
--     - Parsers Used: uff
--     - InferPlugin Used: ON
--     - Licensing: opensource
-- Adding new sample: trtexec
--     - Parsers Used: caffe;uff;onnx
--     - InferPlugin Used: ON
--     - Licensing: opensource
-- Configuring done
-- Generating done
-- Build files have been written to: /home/ainano/TensorOSS/TensorRT/build