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MegEngine/cmake
Megvii Engine Team 33b27be8fc fix(mgb/build): fix trt8 build error 2 years ago
..
Modules feat(cmake): format all cmake file 3 years ago
BuildFlatBuffers.cmake feat(cmake): format all cmake file 3 years ago
FetchMegBrainVersion.cmake feat(cmake): format all cmake file 3 years ago
Halide.cmake feat(cmake): format all cmake file 3 years ago
MKL_DNN.cmake feat(cmake): format all cmake file 3 years ago
MegEngineConfig.cmake.in fix(build): find_package(Threads) if not already done 5 years ago
OpenBLAS.cmake feat(cmake): format all cmake file 3 years ago
aclrt.cmake feat(cmake): format all cmake file 3 years ago
cndev.cmake feat(cmake): format all cmake file 3 years ago
cnlight.cmake feat(cmake): format all cmake file 3 years ago
cnml.cmake feat(cmake): format all cmake file 3 years ago
cnnl.cmake feat(cmake): format all cmake file 3 years ago
cnrt.cmake feat(cmake): format all cmake file 3 years ago
cpp_redis.cmake feat(cmake): format all cmake file 3 years ago
cpuinfo.cmake feat(cmake): format all cmake file 3 years ago
cudnn.cmake feat(profiler): integrate cupti backend 3 years ago
cupti.cmake feat(profiler): integrate cupti backend 3 years ago
flatbuffers.cmake feat(cmake): format all cmake file 3 years ago
gflags.cmake feat(lite): hidden lar gflags symbols for static link 3 years ago
gtest.cmake feat(cmake): format all cmake file 3 years ago
llvm-project.cmake feat(cmake): format all cmake file 3 years ago
magicmind.cmake feat(cmake): format all cmake file 3 years ago
megengine.pc.in feat(build): install CMake config module and pkg-config descriptor 5 years ago
mkl.cmake feat(cmake): format all cmake file 3 years ago
protobuf.cmake feat(cmake): format all cmake file 3 years ago
rocm.cmake feat(cmake): format all cmake file 3 years ago
tensorrt.cmake fix(mgb/build): fix trt8 build error 2 years ago
third_party_sync.cmake feat(mge): opt third_party prepare 3 years ago
zmq.cmake feat(cmake): format all cmake file 3 years ago
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MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境，不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序，请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉，欢迎访问 MegStudio 平台

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