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ncnn
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258 Commits
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258 Commits (bc99d5123bbdf3e73fcf87d891766548d555e88b)
 

Author SHA1 Message Date
  nihui bc99d5123b set smp cpu affinity to all cores 8 years ago
  nihuini f27b9f7791 convert expand_dims 8 years ago
  nihuini 098fff355c implement spatial norm, convert L2Normalization 8 years ago
  nihui 5ff6a1808a emmmm, yet another implementation for winograd 3x3, unroll aggressively for aarch64 8 years ago
  YQZ1990 6f13cc5185 slice (#269) 8 years ago
  nihuini bd705d5bdb inplace binaryop with scalar 8 years ago
  nihuini 513a5fad73 convert Deconvolution and InstanceNorm, fix elu leaky slope 8 years ago
  nihuini 5f4ac776d1 implement instancenorm 8 years ago
  nihuini f4f5a96b9f fix default concat dim 8 years ago
  nihuini e2b11f3b91 convert more op ... 8 years ago
  nihuini eea00ec8ec parse onnx graph 8 years ago
  nihuini db5e805eff padding_mode for Pooling, fix #261 8 years ago
  nihui 2d9410742b concat slice shufflechannel honor elemsize 8 years ago
  nihui 8ccae1d4fd prevent reuse of param array, fix #258 8 years ago
  nihuini 75218953cc aarch64 assembly for conv1x1s1, unroll outch inch as 8x8 8 years ago
  nihuini c1e93152eb Merge branch 'master' of https://github.com/Tencent/ncnn 8 years ago
  nihuini 76a55693a6 decouple convolutiondepthwise and convolution, reduce binary size by 10%, fix #254 8 years ago
  nihuini 3ffb502bc6 reuse if the same shape 8 years ago
  yqz c6abc872df fix mvn no load param in caffe2ncnn 8 years ago
  nihuini c6506d6ecd remaining inch for winograd neon3 8 years ago
  nihui c12fab569f fix convdw3x3s1 on aarch64 8 years ago
  nihui f133729c78 code style changes 8 years ago
  nihuini 03621aa7f9 more x86 stub for convolution and convolutiondepthwise 8 years ago
  Lamply 6612178960 correct arm convolution depthwise mistakes (#246) 8 years ago
  nihui 31985b18f8 do not convert to depthwise if group is one 8 years ago
  nihui 848c9a1ea7 code clean 8 years ago
  nihui 80fb28de90 unroll outch for convolution 3x3s1, about 10%~20% speed gain 8 years ago
  nihui df218110be unroll num_output for innerproduct, about 60% speed gain 8 years ago
  nihui aaa1ffcef0 emmmm, prefer w h 8 years ago
  nihui d68eb4cd15 wrap benchmark gettimeofday 8 years ago
  Linghan Cheung 811b6ba1b6 print benchmark information for every layer, especially for CONVOLUTION (#241) 8 years ago
  nihuini d2ee4e7d27 ld1 and st1 handle data endian mode per element 8 years ago
  nihui 08e261f423 innerproduct produce continous blob, fix #236 8 years ago
  nihui 682b0d3c0d prelu on vector and image 8 years ago
  yetiancai 5e358b831d add softmax activation 8 years ago
  nihui 14a2e23407 enable embed layer 8 years ago
  nihui 49df53dd7e mxnet elemwise op is binary op 8 years ago
  nihui c9789fb879 slice dim 8 years ago
  nihui 0415f16650 fix split on subncnn blob, convert Embedding 8 years ago
  nihui 634c6568ff parse input sub index, convert element_mul SliceChannel 8 years ago
  nihui 80d14dd252 parse attrs 8 years ago
  sheen 539440c4f3 add bitcode setting 8 years ago
  nihuini 67b80183dd fix param load using external memory 8 years ago
  nihuini 7fc23025d4 unroll outch for convolution 1x1 stride 2, about 15%~55% speed gain 8 years ago
  nihuini ccbb94d835 fix build 8 years ago
  nihuini e471028f53 fix avg pooling in tail pad 8 years ago
  nihuini a84ba8fc0f element type storage support in Mat, move data member the first so that a pointer to Mat is a pointer to data, convenient index access for float vector 8 years ago
  nihuini 8773035891 another implementation for winograd 3x3, about 15%~30% speed gains on small images 8 years ago
  nihui 2a62a98e1a allow constructing paramdict and modelbin from userside 8 years ago
  nihui 10b86c2af5 create layer from type name 8 years ago