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Megvii Engine Team bc9cfc277a feat(mgb): add arm resize nchwxx and naive nearest interp 3 years ago
..
conv_bias.cpp chore(dotprod): add arm dotprod attribute for easy use 4 years ago
conv_bias_multi_thread.cpp feat(dnn): add channelwise conv for fp16 nchw88 3 years ago
conv_bias_multi_thread_benchmark.cpp feat(dnn): add channelwise conv for fp16 nchw88 3 years ago
conv_bias_multi_thread_conv1x1.cpp chore(dotprod): add arm dotprod attribute for easy use 4 years ago
conv_bias_multi_thread_im2col.cpp chore(dotprod): add arm dotprod attribute for easy use 4 years ago
conv_bias_multi_thread_weight_preprocess.cpp chore(dotprod): add arm dotprod attribute for easy use 4 years ago
convolution.cpp chore(dotprod): add arm dotprod attribute for easy use 4 years ago
cpuinfo.cpp chore(mge): update copyright years 4 years ago
cpuinfo_help.cpp chore(mge): update copyright years 4 years ago
cpuinfo_help.h chore(mge): update copyright years 4 years ago
cvt_color.cpp chore(mge): update copyright years 4 years ago
elemwise.cpp perf(arm_common): add elemwise unary multithread support 3 years ago
elemwise_benchmark.cpp chore(mge): update copyright years 4 years ago
elemwise_multi_type.cpp chore(mge): update copyright years 4 years ago
fixture.h chore(mge): update copyright years 4 years ago
group_local.cpp chore(mge): update copyright years 4 years ago
local.cpp chore(mge): update copyright years 4 years ago
matrix_mul.cpp chore(dotprod): add arm dotprod attribute for easy use 4 years ago
pooling.cpp fix(arm_common/pooling): check mode in pooling algo to avoid wrong use AVERAGE_COUNT_EXCLUDE_PADDING 4 years ago
pooling_multi_thread.cpp perf(arm_common): optimize arm common pooling 9x9 and 13x13 3 years ago
reduce.cpp chore(mge): update copyright years 4 years ago
resize.cpp feat(mgb): add arm resize nchwxx and naive nearest interp 3 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_affine.cpp chore(mge): update copyright years 4 years ago
warp_perspective.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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