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MegEngine/dnn/src/arm_common
Megvii Engine Team ed7fa10470 feat(fallback): move direct multi_thread_common helper to fallback 4 years ago
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conv_bias feat(fallback): move direct multi_thread_common helper to fallback 4 years ago
convolution style(all): reformat c++ code 4 years ago
cvt_color feat(dnn): use ref ptr interface for all backends 4 years ago
elemwise fix(fallback): delete the repeat opcaller in fallback and arm_common 4 years ago
elemwise_helper feat(fallback): add general intrinsic to elemwise multitype 4 years ago
elemwise_multi_type feat(fallback): add general intrinsic to elemwise multitype 4 years ago
local style(all): reformat c++ code 4 years ago
lstm feat(arm): add arm rnn_cell/lstm_cell/lstm optimized kernel 4 years ago
lstm_cell feat(arm): add arm rnn_cell/lstm_cell/lstm optimized kernel 4 years ago
matrix_mul style(all): reformat c++ code 4 years ago
pooling feat(dnn): use ref ptr interface for all backends 4 years ago
reduce feat(arm): delete the reduant implement 4 years ago
resize feat(dnn): use ref ptr interface for all backends 4 years ago
rnn_cell feat(arm): add arm rnn_cell/lstm_cell/lstm optimized kernel 4 years ago
separable_conv style(all): reformat c++ code 4 years ago
separable_filter feat(dnn): use ref ptr interface for all backends 4 years ago
simd_macro feat(dnn/arm64): support stride_m in arm64 relayout 4 years ago
type_cvt fix(dnn/arm_common): support more monotonous case in arm typecvt for performance 4 years ago
warp_affine style(all): reformat c++ code 4 years ago
warp_perspective feat(dnn): use ref ptr interface for all backends 4 years ago
handle.cpp feat(arm): add arm rnn_cell/lstm_cell/lstm optimized kernel 4 years ago
handle.h style(all): reformat c++ code 4 years ago
intrinsic_helper.h style(all): reformat c++ code 4 years ago
neon_struct.h style(all): reformat c++ code 4 years ago
quantized_converter.h feat(dnn/arm): support layout like NHWC channel like broadcast on arm 4 years ago
utils.cpp style(all): reformat c++ code 4 years ago
utils.h style(all): reformat c++ code 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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