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Megvii Engine Team f2b42bf09e chore(dotprod): add arm dotprod attribute for easy use 4 years ago
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aarch64 chore(dotprod): add arm dotprod attribute for easy use 4 years ago
arm_common chore(dotprod): add arm dotprod attribute for easy use 4 years ago
armv7 chore(dotprod): add arm dotprod attribute for easy use 4 years ago
atlas chore(mge): update copyright years 4 years ago
cambricon chore(mge): update copyright years 4 years ago
common feat(dnn/cuda): add cutlass matmul using split k parallel 4 years ago
cpu refactor(megdnn): refactor brute force algo in batched matmul 4 years ago
cuda fix(megdnn): fix megdnn benchmark testcase 4 years ago
dispatcher chore(mge): update copyright years 4 years ago
fallback chore(mge): update copyright years 4 years ago
naive chore(mge): update copyright years 4 years ago
rocm chore(mge): update copyright years 4 years ago
x86 feat(mgb): add recursive for fastrun and megdnn test 4 years ago
CMakeLists.txt fix(cmake/whl): reduce wheel size 4 years ago
gtest_main.cpp feat(mgb): add recursive for fastrun and megdnn test 4 years ago
main.cpp chore(mge): update copyright years 4 years ago

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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