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MegEngine/dnn/test/x86
zjl d2184af3b2 feat(dnn/src/x86/matmul): add matmul_6x16 for x86 3 years ago
..
accuracy_shake.cpp feat(dnn/src/x86/matmul): add matmul_6x16 for x86 3 years ago
add_update.cpp chore(mge): update copyright years 4 years ago
conv_bias.cpp feat(dnn/src/x86/matmul): add matmul_6x16 for x86 3 years ago
convolution.cpp feat(mgb/dnn): add accuracy shake checker 4 years ago
cpuinfo.cpp chore(mge): update copyright years 4 years ago
cvt_color.cpp chore(mge): update copyright years 4 years ago
elemwise.cpp chore(mge): update copyright years 4 years ago
elemwise_bmark.cpp chore(mge): update copyright years 4 years ago
elemwise_multi_type.cpp chore(mge): update copyright years 4 years ago
fixture.cpp chore(mge): update copyright years 4 years ago
fixture.h chore(mge): update copyright years 4 years ago
gaussian_blur.cpp chore(mge): update copyright years 4 years ago
lrn.cpp chore(mge): update copyright years 4 years ago
matrix_mul.cpp feat(dnn/src/x86/matmul): add matmul_6x16 for x86 3 years ago
pooling.cpp feat(dnn/x86): add algo for x86 max pooling for Window size bigger than 10 and S1 under NCHW88 3 years ago
resize.cpp chore(mge): update copyright years 4 years ago
separable_conv.cpp chore(mge): update copyright years 4 years ago
separable_filter.cpp chore(mge): update copyright years 4 years ago
type_cvt.cpp chore(mge): update copyright years 4 years ago
warp_perspective.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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