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Megvii Engine Team d56570d929 fix(megbrain): add rdnn to copybara 3 years ago
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cambricon fix(lite/cambricon): fix cambricon models which have multiple comp node 3 years ago
core refactor(fastrun): decouple fastrun from computing graph 3 years ago
custom feat(imperative,src): add jit builder for custom op 3 years ago
gopt refactor(fastrun): decouple fastrun from computing graph 3 years ago
jit fix(jit): copy aux var when shallow copying JITExecutor 3 years ago
opr refactor(fastrun): decouple fastrun from computing graph 3 years ago
opr-mm fix(fastrun): fix persistent_cache in redis 3 years ago
plugin fix(mgb/plugin): fix io dump for qint4, quint4 and bool type tensors 3 years ago
rdnn fix(megbrain): add rdnn to copybara 3 years ago
serialization feat(dnn,mgb,imperative): add diag opr implement 3 years ago
tensorrt feat(mgb): reduce the number of trtruntimeopr create contexts 3 years ago
CMakeLists.txt refactor(fastrun): decouple fastrun from computing graph 3 years ago
bin_reduce_cmake.h fix(cmake/midout): fix cmake midout 3 years ago
megbrain_build_config.h.in perf(cuda): speedup conv backward data with small feature map and large filter size 3 years ago
version.ld fix(fastrun): fix persistent_cache in redis 3 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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