TorchScript 支持情况

Introduction of TorchScript

TorchScript a way to create serializable and optimizable models from PyTorch code. Any TorchScript program can be saved from a Python process and loaded in a process where there is no Python dependency. Check the Introduction to TorchScript for more details.

Build custom ops

Prerequisite

• Download libtorch from the official website here.

Please note that only Pre-cxx11 ABI and version 1.8.1+ on Linux platform are supported by now.

For previous versions of libtorch, users can find through the issue comment. Libtorch1.8.1+cu111 as an example, extract it, expose Torch_DIR and add the lib path to LD_LIBRARY_PATH as below:

wget https://download.pytorch.org/libtorch/cu111/libtorch-shared-with-deps-1.8.1%2Bcu111.zip

unzip libtorch-shared-with-deps-1.8.1+cu111.zip
cd libtorch
export Torch_DIR=$(pwd)
export LD_LIBRARY_PATH=$Torch_DIR/lib:$LD_LIBRARY_PATH

Note:

• If you want to save libtorch env variables to bashrc, you could run

  echo '# set env for libtorch' >> ~/.bashrc
  echo "export Torch_DIR=${Torch_DIR}" >> ~/.bashrc
  echo 'export LD_LIBRARY_PATH=$Torch_DIR/lib:$LD_LIBRARY_PATH' >> ~/.bashrc
  source ~/.bashrc
  

Build on Linux

cd ${MMDEPLOY_DIR} # To MMDeploy root directory
mkdir -p build && cd build
cmake -DMMDEPLOY_TARGET_BACKENDS=torchscript -DTorch_DIR=${Torch_DIR} ..
make -j$(nproc)

How to convert a model

• You could follow the instructions of tutorial How to convert model

FAQs

• Error: projects/thirdparty/libtorch/share/cmake/Caffe2/Caffe2Config.cmake:96 (message):Your installed Caffe2 version uses cuDNN but I cannot find the cuDNN libraries.  Please set the proper cuDNN prefixes and / or install cuDNN.

  May export CUDNN_ROOT=/root/path/to/cudnn to resolve the build error.