19 Commits (db035d602de6ec0cd3bdd191cb21f4b73e7599be)

Author SHA1 Message Date
  nihui db035d602d
update ncnnoptimize layers, lightmode=false keeps original weight (#5414) 2 years ago
  nihui 556b79ce4d
create layer decoupled (#5258) 2 years ago
  nihui 4494aadd74
deconvolution dynamic weight (#5119) 2 years ago
  nihui a12cd7c212
mips msa and loongson mmi optimization for convolution int8 winograd f43 (#4014) 3 years ago
  nihui e7ca89853e
mips convolution winograd dot function and strategy (#3925) 3 years ago
  nihui ca0ba4b25f
fine grained winograd options, adjust x86 convolution winograd strategy (#3908) 3 years ago
  nihui 06a36e9c1f
discard weight memory for mips (#3869) 4 years ago
  nihui c3adbcf9f3
mips optimization for convolution sgemm (#3853) 4 years ago
  nihui bf64d8f1ec
fix winograd function name (#3820) 4 years ago
  nihui 9298d05e86
split convolution winograd transform input output (#3688) 4 years ago
  nihui c09d7b3591
mips msa optimization for convolution int8 (#3675) 4 years ago
  nihui 3f2799d706
always build tightly packed weight, fix #3545 (#3547) 4 years ago
  nihui 6941ec8fc9
arm neon optimization for general packed convolution (#3426) 4 years ago
  nihui 999e640d43
dynamic convolution weight (#3408) 4 years ago
  nihui 24fbb6e8cb
honor thread setting on load and vulkan command, ci avx512 t4 (#3391) 4 years ago
  zhiliu6 814f89ef1a
Fuse HardSwish activation into Convolution and InnerProduct (#3233) 4 years ago
  nihui 927e34278c
mips msa optimization part2 (#3063) 4 years ago
  nihui 49cda73420
mips msa optimization for convolution sgemm and winograd (#3055) 4 years ago
  nihui 1f49fc4b67 mips msa optimization for padding packing flatten innerproduct convolution convolutiondepthwise general cases 4 years ago