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130 Commits (13e8da2b46d8b48fa4bdc76dd89cd7aaf3f7d615)

Author SHA1 Message Date
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
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
Ross Wightman c8b3d6b81a Initial impl of Selective Kernel Networks. Very much a WIP.
5 years ago
Ross Wightman 1daa303744 Add support to Dataset for class id mapping file, clean up a bit of old logic. Add results file arg for validation and update script.
5 years ago
Ross Wightman 91534522f9 Add newly added TF ported EfficientNet-B8 weights (RandAugment)
5 years ago
Ross Wightman 12dbc74742 New ResNet50 JSD + RandAugment weights
5 years ago
Ross Wightman 2f41905ba5 Update ResNet50 weights to AuxMix trained 78.994 top-1. A few commentes re 'tiered_narrow' tn variant.
5 years ago
Ross Wightman d9a6a9d0af
Merge pull request #74 from rwightman/augmix-jsd
5 years ago
Ross Wightman 3eb4a96eda Update AugMix, JSD, etc comments and references
5 years ago
Ross Wightman a28117ea46 Add tiered narrow ResNet (tn) and weights for seresnext26tn_32x4d
5 years ago
Ross Wightman 833066b540 A few minor things in SplitBN
5 years ago
Ross Wightman 7547119891 Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
5 years ago
Ross Wightman 2e955cfd0c Update RandomErasing with some improved arg names, tweak to aspect range
5 years ago
Ross Wightman 3cc0f91e23 Fix augmix variable name scope overlap, default non-blended mode
5 years ago
Ross Wightman ec0dd4053a Add updated RandAugment trained EfficientNet-B0 trained weights from @michaelklachko
5 years ago
Ross Wightman 40fea63ebe Add checkpoint averaging script. Add headers, shebangs, exec perms to all scripts
5 years ago
Ross Wightman 4666cc9aed Add --pin-mem arg to enable dataloader pin_memory (showing more benefit in some scenarios now), also add --torchscript arg to validate.py for testing models with jit.script
5 years ago
Ross Wightman 53001dd292 ResNet / Res2Net additions:
5 years ago
Ross Wightman f96b3e5e92 InceptionResNetV2 torchscript compatible
5 years ago
Ross Wightman 19d93fe454 Add selecsls60 weights
5 years ago
Ross Wightman 0062c15fb0 Update checkpoint url with modelzoo compatible ones.
5 years ago
Ross Wightman b5315e66b5 Streamline SelecSLS model without breaking checkpoint compat. Move cfg handling out of model class. Update feature/pooling behaviour to match current.
5 years ago
Ross Wightman d59a756c16 Run PyCharm autoformat on selecsls and change mix cap variables and model names to all lower
5 years ago
Ross Wightman fb3a0f4bb8
Merge pull request #65 from mehtadushy/selecsls
5 years ago
Ross Wightman 19fc205a4d Update comments on the new SE-ResNeXt26 models
5 years ago
Ross Wightman acc3ed2b8c Add EfficientNet-B3 weights, trained from scratch with RA.
5 years ago
Dushyant Mehta 2404361f62 correct asset paths
5 years ago
Dushyant Mehta 31939311f6 Added SelecSLS models
5 years ago
rwightman 1f4498f217 Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d
5 years ago
Dushyant Mehta 32012a44fd Added SelecSLS model
5 years ago
Ross Wightman 73b78459dc Add update RandAugment MixNet-XL weights
5 years ago
Ross Wightman 3afc2a4dc0 Some cleanup/improvements to AugMix impl:
5 years ago
Ross Wightman 232ab7fb12 Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago
Ross Wightman a435ea1327 Change reduce_bn to distribute_bn, add ability to choose between broadcast and reduce (mean). Add crop_pct arg to allow selecting validation crop while training.
5 years ago
Ross Wightman 3bff2b21dc Add support for keeping running bn stats the same across distributed training nodes before eval/save
5 years ago
Ross Wightman 0161de0127 Switch RandoErasing back to on GPU normal sampling
5 years ago
Ross Wightman ff421e5e09 New PyTorch trained EfficientNet-B2 weights with my RandAugment impl
5 years ago
Ross Wightman 3bef524f9c Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.
5 years ago
Ross Wightman 6ca0828166 Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2
5 years ago
Ross Wightman eccbadca74 Update EfficientNet comments
5 years ago