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MegEngine/src/gopt/impl
Megvii Engine Team 8ef12bdf22 feat(mgb/gopt): add user inferface for global layout transform 3 years ago
..
basic_arith chore(mge): update copyright years 4 years ago
dynamic_programming_solver.cpp test(mgb/gopt): add testcase for global layout transform 3 years ago
folding_conv_dimshuffle.cpp feat(mgb/gopt): fix folding conv dimshuffle pass 3 years ago
framework.cpp feat(mgb/gopt): add user inferface for global layout transform 3 years ago
fuse_nchw4_int8_preprocess.cpp fix(mgb/gopt): fix auto padding for nhwc layout 3 years ago
gtrans.cpp chore(mge): update copyright years 4 years ago
inference.cpp feat(mgb/gopt): add user inferface for global layout transform 3 years ago
layout_transform_context.cpp feat(mgb/gopt): add user inferface for global layout transform 3 years ago
layout_transform_pass.cpp feat(mgb/gopt): add user inferface for global layout transform 3 years ago
misc.cpp fix(gopt): using new_inp for build_chain in DelayBroadcast pass 4 years ago
opr_format_modifier.cpp feat(mgb/gopt): add profile impl for global layout transform pass 3 years ago
opr_format_modifier.h feat(mgb/gopt): add profile impl for global layout transform pass 3 years ago
opr_tensor_formats_config.cpp test(mgb/gopt): add testcase for global layout transform 3 years ago
padding_channel.cpp refactor(mgb/gopt): refactor tensor reformat opt pass 3 years ago
profiler_impl.cpp test(mgb/gopt): add testcase for global layout transform 3 years ago
profiling_based_solver.cpp feat(mgb/gopt): add dynamic programming solver 3 years ago
reformat_emitter.cpp feat(mgb/gopt): add profile impl for global layout transform pass 3 years ago
reformat_manager.cpp feat(mgb/gopt): add user inferface for global layout transform 3 years ago
subgraph_extractor.cpp feat(mgb/gopt): add dynamic programming solver 3 years ago
tensor_reformat.cpp refactor(mgb/gopt): refactor tensor reformat opt pass 3 years ago
utils.h feat(mgb/gopt): add dynamic programming solver 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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