Commit Graph

136 Commits (ce3d82b58b2eb3e526de5df608cfc7d181b8c916)

Author SHA1 Message Date
Chris Ha ce3d82b58b Update blurpool.py
5 years ago
Chris Ha 3a287a6e76 Create blurpool.py
5 years ago
Ross Wightman c99a5abed4
Merge pull request #115 from rwightman/mobilenetv2-experiment
5 years ago
Ross Wightman e34074b4da Add final weights for MobileNet-V2 experiments
5 years ago
Ross Wightman a6a5565de7 Fiddling...
5 years ago
Ross Wightman 5a16c533ff Add better resnext50_32x4d weights trained by andravin
5 years ago
Ross Wightman bc998cad91 Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite
5 years ago
Ross Wightman 3406e582cf Add EfficientNet-Lite results, update README
5 years ago
Ross Wightman bd05258f7b EfficientNet-Lite model added w/ converted checkpoints, validation in progress...
5 years ago
Ross Wightman 56e2ac3a6d
Merge pull request #94 from rwightman/lr_noise
5 years ago
Ross Wightman c16f25ced2 Add MobileNetV3 Large weights, results, update README and sotabench for merge
5 years ago
Ross Wightman c60069c1eb Annotate types on drop fns to avoid torchscript error
5 years ago
Ross Wightman 9fee316752 Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84
5 years ago
Ross Wightman 43225d110c Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.
5 years ago
Ross Wightman f1d5f8a6c4 Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights
5 years ago
Ross Wightman 569419b38d Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch
5 years ago
Ross Wightman 53c47479c4 Batch validation batch size adjustment, tweak L2 crop pct
5 years ago
Ross Wightman 08553e16b3 Merge branch 'master' into attention
5 years ago
Ross Wightman fa38f24967 Update SK network configs, add weights for skresnet8 and skresnext50
5 years ago
Ross Wightman ba15ca47e8 Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU
5 years ago
Ross Wightman 5e6dbbaf30 Add CBAM for experimentation
5 years ago
Ross Wightman d725991870 Remove debug print from ECA module
5 years ago
Ross Wightman 2a7d256fd5 Re-enable mem-efficient/jit activations after torchscript tests
5 years ago
Ross Wightman f902bcd54c Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases
5 years ago
Ross Wightman a99ec4e7d1 A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.
5 years ago
Ross Wightman 13746a33fc Big move, layer modules and fn to timm/models/layers
5 years ago
Ross Wightman f54612f648 Merge branch 'select_kernel' into attention
5 years ago
Ross Wightman 4defbbbaa8 Fix module name mistake, start layers sub-package
5 years ago
Ross Wightman 7011cd0902 A little bit of ECA cleanup
5 years ago
Ross Wightman 46471df7b2 Merge pull request #82 from VRandme/eca
5 years ago
Ross Wightman d0eb59ef46 Remove unused default_init for EfficientNets, experimenting with fanout calc for #84
5 years ago
Chris Ha e6a762346a Implement Adaptive Kernel selection
5 years ago
Ross Wightman 13e8da2b46 SelectKernel split_input works best when input channels split like grouped conv, but output is full width. Disable zero_init for SK nets, seems a bad combo.
5 years ago
Chris Ha 6db087a1ff Merge remote-tracking branch 'upstream/master' into eca
5 years ago
Chris Ha 904c618040 Update EcaModule.py
5 years ago
Chris Ha db91ba053b EcaModule(CamelCase)
5 years ago
Ross Wightman 5c4991a088 Add PyTorch trained EfficientNet-ES weights from Andrew Lavin
5 years ago
Chris Ha d63ae121d5 Clean up eca_module code
5 years ago
Chris Ha f87fcd7e88 Implement Eca modules
5 years ago
Ross Wightman 7d07ebb660 Adding some configs to sknet, incl ResNet50 variants from 'Compounding ... Assembled Techniques' paper and original SKNet50
5 years ago
Ross Wightman a9d2424fd1 Add separate zero_init_last_bn function to support more block variety without a mess
5 years ago
Ross Wightman 355aa152d5 Just leave it float for now, will look at fp16 later. Remove unused reference code.
5 years ago
Ross Wightman ef457555d3 BlockDrop working on GPU
5 years ago
Ross Wightman 3ff19079f9 Missed nn_ops.py from last commit
5 years ago
Ross Wightman 9f11b4e8a2 Add ConvBnAct layer to parallel integrated SelectKernelConv, add support for DropPath and DropBlock to ResNet base and SK blocks
5 years ago
Ross Wightman cefc9b7761 Move SelectKernelConv to conv2d_layers and more
5 years ago
Ross Wightman 9abe610931 Used wrong channel var for split
5 years ago
Ross Wightman 58e28dc7e7 Move Selective Kernel blocks/convs to their own sknet.py file
5 years ago
Ross Wightman a93bae6dc5 A SelectiveKernelBasicBlock for more experiments
5 years ago
Ross Wightman ad087b4b17 Missed bias=False in selection conv
5 years ago