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MegEngine/dnn/test
Megvii Engine Team 056fd6bc59 feat(dnn/arm64): support stride_m in arm64 relayout 3 years ago
..
aarch64 feat(dnn/arm64): support stride_m in arm64 relayout 3 years ago
arm_common feat(dnn/arm): support layout like NHWC channel like broadcast on arm 3 years ago
armv7 style(all): reformat c++ code 3 years ago
atlas style(all): reformat c++ code 3 years ago
cambricon style(all): reformat c++ code 3 years ago
common feat(dnn/arm64): support stride_m in arm64 relayout 3 years ago
cpu style(all): reformat c++ code 3 years ago
cuda fix(dnn/cuda): fix cudnn conv impl for nchw4_nchw hybrid layout 3 years ago
dispatcher style(all): reformat c++ code 3 years ago
fallback style(all): reformat c++ code 3 years ago
naive style(all): reformat c++ code 3 years ago
rocm style(all): reformat c++ code 3 years ago
x86 Merge pull request #207 from togetherwhenyouwant:feat-x86-matmul-6x16x2 3 years ago
CMakeLists.txt feat(imperative): add support for quantized conv transpose2d 3 years ago
gtest_main.cpp style(all): reformat c++ code 3 years ago
main.cpp chore(mge): update copyright years 4 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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