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MegEngine/dnn/test/naive
Megvii Engine Team 11d75fecb5 feat(dnn/check_non_finite): add batch check_non_finite 3 years ago
..
add_update.cpp chore(mge): update copyright years 4 years ago
check_non_finite.cpp feat(dnn/check_non_finite): add batch check_non_finite 3 years ago
conv_bias.cpp feat(dnn): use ref ptr interface for all backends 3 years ago
convolution.cpp feat(dnn): use ref ptr interface for all backends 3 years ago
cvt_color.cpp style(all): reformat c++ code 3 years ago
dct.cpp style(all): reformat c++ code 3 years ago
deformable_conv.cpp style(all): reformat c++ code 3 years ago
deformable_ps_roi_pooling.cpp style(all): reformat c++ code 3 years ago
elemwise_multi_type.cpp feat(dnn): use ref ptr interface for all backends 3 years ago
fixture.cpp style(all): reformat c++ code 3 years ago
fixture.h style(all): reformat c++ code 3 years ago
images2neibs.cpp style(all): reformat c++ code 3 years ago
lsq.cpp style(all): reformat c++ code 3 years ago
matrix_inverse.cpp style(all): reformat c++ code 3 years ago
matrix_mul.cpp feat(dnn): use ref ptr interface for all backends 3 years ago
mesh_indexing.cpp feat(dnn): use ref ptr interface for all backends 3 years ago
padding.cpp style(all): reformat c++ code 3 years ago
pooling.cpp fix(dnn): fix naive average pooling overflow bug for int8 type 3 years ago
record1.cpp feat(dnn): use ref ptr interface for all backends 3 years ago
reduce.cpp style(all): reformat c++ code 3 years ago
relayout_format.cpp style(all): reformat c++ code 3 years ago
resize.cpp feat(dnn): use ref ptr interface for all backends 3 years ago
rng.cpp style(all): reformat c++ code 3 years ago
rng.h style(all): reformat c++ code 3 years ago
sliding_window_transpose.cpp style(all): reformat c++ code 3 years ago
svd.cpp chore(mge): update copyright years 4 years ago
type_cvt.cpp style(all): reformat c++ code 3 years ago
warp_afffine.cpp style(all): reformat c++ code 3 years ago
warp_perspective.cpp feat(dnn): use ref ptr interface for all backends 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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