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MegEngine/dnn/src/x86
Megvii Engine Team c85631aa77 feat(dnn): use ref ptr interface for all backends 4 years ago
..
add_update feat(dnn): use ref ptr interface for all backends 4 years ago
conv_bias feat(dnn): use ref ptr interface for all backends 4 years ago
convolution style(all): reformat c++ code 4 years ago
cvt_color feat(dnn): use ref ptr interface for all backends 4 years ago
elemwise feat(dnn): use ref ptr interface for all backends 4 years ago
elemwise_helper style(all): reformat c++ code 4 years ago
elemwise_multi_type style(all): reformat c++ code 4 years ago
gaussian_blur feat(dnn): use ref ptr interface for all backends 4 years ago
local style(all): reformat c++ code 4 years ago
lrn feat(dnn): use ref ptr interface for all backends 4 years ago
matrix_mul feat(dnn): use ref ptr interface for all backends 4 years ago
pooling feat(dnn): use ref ptr interface for all backends 4 years ago
resize feat(dnn): use ref ptr interface for all backends 4 years ago
script chore(mge): update copyright years 5 years ago
separable_conv feat(dnn): use ref ptr interface for all backends 4 years ago
separable_filter feat(dnn): use ref ptr interface for all backends 4 years ago
simd_macro style(all): reformat c++ code 4 years ago
type_cvt style(all): reformat c++ code 4 years ago
warp_affine style(all): reformat c++ code 4 years ago
warp_perspective feat(dnn): use ref ptr interface for all backends 4 years ago
avx_helper.h Merge pull request #207 from togetherwhenyouwant:feat-x86-matmul-6x16x2 4 years ago
elemwise_op.h style(all): reformat c++ code 4 years ago
handle.cpp style(all): reformat c++ code 4 years ago
handle.h style(all): reformat c++ code 4 years ago
midout_error.cpp chore(mge): update copyright years 5 years ago
quantized_converter.h style(all): reformat c++ code 4 years ago
simd_helper.h style(all): reformat c++ code 4 years ago
utils.cpp style(all): reformat c++ code 4 years ago
utils.h chore(mge): update copyright years 5 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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