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InfiniTensor

Compilation on Lotus

Compilation for cuda

# Enter the root of InfiniTensor
source test/script/env_lotus.sh
make CUDA=ON

Compilation for intelcpu

# Enter the root of InfiniTensor
source test/script/env_lotus.sh intelcpu
mkdir build && cd build
cmake -DUSE_INTELCPU=ON -DCMAKE_CXX_COMPILER=dpcpp .. && make -j 12

Make Commands

make/make build: Builds the project;
make install-python: Builds the project then install the python frontend;
make test-cpp: Builds the project then run cpp unit tests;
make test-onnx: Run python unit tests;

Sets env: CUDA=ON to enable cuda.

CMake Options

There are several configurable CMake options, see the CMakeLists.txt file.

If USE_BACKTRACE is ON, libdw-dev have to be installed. See the README of backward-cpp for details.
If USE_PROTOBUF is ON, protobuf have to be installed. See the README of protobuf for details.
If USE_CUDA is ON, cuda have to be installed.

Contributor Guide

InfiniTensor development is based on the pull request on Github. Before requesting for merging, a PR should satisfy the following requirements

Pass all tests.
1. Now CI on Github will test everything that can be tested in the ci environment, including code format. So, script test/script/clang_format_inplace.sh is for formatting all code.
2. Contributors should run ctest manually and copy its output to the PR. Use fenced code blocks (triple backquotes, i.e., ```) to avoid referencing in Github. Otherwise, # in the output is interpreted as a Github reference. Do not directly paste the ctest output in commit messages either for the same reason.
Receive at least one approval from reviewers.
PR title should be concise since it is going to be the commit message in the main branch after merging and squashing.

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