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488 Commits (4027412757f01744a2d947a22c0042bb387c3266)

Author SHA1 Message Date
Ross Wightman ba2ca4b464 One codepath for stdconv, switch layernorm to batchnorm so gain included. Tweak epsilon values for nfnet, resnetv2, vit hybrid.
3 years ago
Ross Wightman b7a568f065 Fix torchscript issue in bat
3 years ago
Ross Wightman d17b374f0f Minimum input_size needed to be higher
3 years ago
Ross Wightman b3b90d944d Add min_input_size to bat_resnext to prevent test breakage.
3 years ago
Ross Wightman d413eef1bf Add ResMLP-24 model weights that I trained in PyTorch XLA on TPU-VM. 79.2 top-1.
3 years ago
Ross Wightman 10d8fa4620 Add gc and bat attention resnext26ts variants to byob for test.
3 years ago
Ross Wightman 2f5ed2dec1 Update `init_values` const for 24 and 36 layer ResMLP models
3 years ago
Ross Wightman 8e4ac3549f All ScaledStdConv and StdConv uses default to using F.layernorm so that they work with PyTorch XLA. eps value tweaking is a WIP.
3 years ago
Ross Wightman 2a63d0246b Post merge cleanup
3 years ago
Ross Wightman 45dec179e5
Merge pull request #681 from lmk123568/master
3 years ago
Dongyoon Han ded1671483 Fix stochastic depth working only with a shortcut
3 years ago
Mike b87d98b238
Update convit.py
3 years ago
Ross Wightman bda8ab015a Remove min channels for SelectiveKernel, divisor should cover cases well enough.
3 years ago
Ross Wightman a27f4aec4a Missed args for skresnext w/ refactoring.
3 years ago
Ross Wightman 307a935b79 Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.
3 years ago
Ross Wightman 8bf63b6c6c Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.
3 years ago
Ross Wightman bcec14d3b5 Bring EfficientNet SE layer in line with others, pull se_ratio outside of blocks. Allows swapping w/ other attn layers.
3 years ago
Ross Wightman 9611458e19 Throw in some FBNetV3 code I had lying around, some refactoring of SE reduction channel calcs for all EffNet archs.
3 years ago
Ross Wightman 01b9108619 Merge branch 'master' into more_attn
3 years ago
Ross Wightman d7bab8a6c5 Fix strict flag change for checkpoint load.
3 years ago
Ross Wightman 02f9d4bc34 Add weights for resnet51q model, add 61q def.
3 years ago
Ross Wightman f615474be3 Fix broken test, repvgg block doesn't have attn_last attr.
3 years ago
Ross Wightman 742c2d5247 Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.
3 years ago
Ross Wightman 9c78de8c02 Fix #661, move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.
3 years ago
Ross Wightman 5db7452173 Fix visformer in_chans stem handling
3 years ago
Ross Wightman 11ae795e99 Redo LeViT attention bias caching in a way that works with both torchscript and DataParallel
3 years ago
Ross Wightman d400f1dbdd Filter test models before creation for backward/torchscript tests
3 years ago
Ross Wightman c4572cc5aa Add Visformer-small weighs, tweak torchscript jit test img size.
3 years ago
Ross Wightman bfc72f75d3 Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.
3 years ago
Ross Wightman 18bf520ad1 Add eca_nfnet_l2/l3 defs for future training
3 years ago
Ross Wightman f45de37690 Merge branch 'master' into levit_visformer_rednet
3 years ago
Ross Wightman 23c18a33e4 Add efficientnetv2_rw_m weights trained in PyTorch. 84.8 top-1 @ 416 test. 53M params.
3 years ago
Ross Wightman c2ba229d99 Prep for effcientnetv2_rw_m model weights that started training before official release..
3 years ago
Ross Wightman 30b9880d06 Minor adjustment, mutable default arg, extra check of valid len...
3 years ago
Ross Wightman be0abfbcce Merge branch 'master' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-master
3 years ago
Ross Wightman b7de82e835 ConViT cleanup, fix torchscript, bit of reformatting, reuse existing layers.
3 years ago
Ross Wightman 306c86b668 Merge branch 'convit' of https://github.com/amaarora/pytorch-image-models into amaarora-convit
3 years ago
Ross Wightman a569635045 Update twin weights to a copy in GitHub releases for faster dl. Tweak model class comment.
3 years ago
Ross Wightman be99eef9c1 Remove redundant code, cleanup, fix torchscript.
3 years ago
Ross Wightman 5ab372a3ec Merge branch 'master' of https://github.com/abcdvzz/pytorch-image-models into abcdvzz-master
3 years ago
Aman Arora 5db1eb6ba5 Add defaults
3 years ago
Aman Arora 8b1f2e8e1f remote unused matplotlib import
3 years ago
Aman Arora 40c506ba1e Add ConViT
3 years ago
Alexander Soare 7976019864 extend positional embedding resizing functionality to tnt
3 years ago
Alexander Soare 8086943b6f allow resize positional embeddings to non-square grid
3 years ago
talrid dc1a4efd28 mixer_b16_224_miil, mixer_b16_224_miil_in21k models
3 years ago
李鑫杰 7b799c4e79 add latest code
3 years ago
Ross Wightman d5af752117 Add preliminary gMLP and ResMLP impl to Mlp-Mixer
3 years ago
李鑫杰 00548b8427 Add Twins
3 years ago
Ross Wightman e7f0db8664 Fix drop/drop_path arg on MLP-Mixer model. Fix #641
3 years ago
Ross Wightman 9a3ae97311 Another set of byoanet models w/ ECA channel + SA + groups
3 years ago
Ross Wightman 7077f16c6a Change 21k model naming from _21k to _in21k for consistency with existing 21k models.
3 years ago
Ross Wightman 94d4b53352 Add temporary default_cfgs to visformer models so they pass tests
3 years ago
Ross Wightman 3bffc701f1 Merge branch 'master' into levit_visformer_rednet
3 years ago
Ross Wightman ecc7552c5c Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.
3 years ago
Ross Wightman 165fb354b2 Add initial RedNet model / Involution layer impl for testing
3 years ago
Ross Wightman 328249f11a Update README, tweak fine-tune effv2 model names.
3 years ago
Ross Wightman c4f482a08b EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.
3 years ago
Ross Wightman 4fbc32d3d0 Fix crop_pct for cait models.
3 years ago
Ross Wightman 715519a5ef Rethink name of patch embed grid info
3 years ago
Ross Wightman b2c305c2aa Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...
3 years ago
Ross Wightman 3ba6b55cb2 More adjustments to ByoaNet models for further experiments.
3 years ago
Ross Wightman 5fcddb96a8 Merge branch 'master' into cait
3 years ago
Ross Wightman 3db12b4b6a Finish CaiT cleanup
3 years ago
Ross Wightman 2d8b09fe8b Add official pretrained weights to MLP-Mixer, complete model cfgs.
3 years ago
Ross Wightman 12efffa6b1 Initial MLP-Mixer attempt...
3 years ago
Ross Wightman 0721559511 Improved (hopefully) init for SA/SA-like layers used in ByoaNets
3 years ago
Ross Wightman d5473c17f7 Fix incorrect name of shortcut/identity paths in many residual nets. Inherited from naming in old old torchvision, long fixed there.
3 years ago
Ross Wightman 0d87650fea Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
3 years ago
Ross Wightman ddc743fdf8 Update ResNet-RS models to EMA weights
3 years ago
Ross Wightman 08d60f4a9a resnetrs50 pool sizing wrong
3 years ago
Ross Wightman 1daa15ecc3 Initial Cait commit. Still some cleanup to do.
3 years ago
Ross Wightman 67d0665b46 Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
3 years ago
Aman Arora 560eae38f5
[WIP] Add ResNet-RS models (#554)
3 years ago
Ross Wightman 9cc7dda6e5 Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
3 years ago
Ross Wightman e15c3886ba Defaul lambda r=7. Define '26t' stage 4/5 256x256 variants for all of bot/halo/lambda nets for experiment. Add resnet50t for exp. Fix a few comments.
3 years ago
Ross Wightman e5e15754c9 Fix coat first conv ident
3 years ago
Ross Wightman 76739a7589 CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.
3 years ago
Ross Wightman 026430c083 Merge branch 'master' of https://github.com/morizin/pytorch-image-models-1 into morizin-master
3 years ago
Ross Wightman a0492e3b48 A few miil weights naming tweaks to improve compat with model registry and filtering wildcards.
3 years ago
talrid 8c1f03e56c comment
3 years ago
talrid 19e1b67a84 old spaces
3 years ago
talrid a443865876 update naming and scores
3 years ago
talrid cf0e371594 84_0
3 years ago
talrid 0968bdeca3 vit, tresnet and mobilenetV3 ImageNet-21K-P weights
3 years ago
morizin 1e3b6d4dfc
Update __init__.py
3 years ago
morizin fd022fd6a2
Update __init__.py
3 years ago
morizin c2d5087eae
Add files via upload
3 years ago
Ross Wightman c1cf9712fc Add updated EfficientNet-V2S weights, 83.8 @ 384x384 test. Add PyTorch trained EfficientNet-B4 weights, 83.4 @ 384x384 test. Tweak non TF EfficientNet B1-B4 train/test res scaling.
3 years ago
Ross Wightman e8a64fb881 Test input size for efficientnet_v2s was wrong in last results run
3 years ago
Ross Wightman 2df77ee5cb Fix torchscript compat and features_only behaviour in GhostNet PR. A few minor formatting changes. Reuse existing layers.
3 years ago
Ross Wightman d793deb51a Merge branch 'master' of https://github.com/iamhankai/pytorch-image-models into iamhankai-master
3 years ago
Ross Wightman f606c45c38 Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer
3 years ago
iamhankai de445e7827 Add GhostNet
3 years ago
Ross Wightman b3d7580df1 Update ByoaNet comments. Fix first Steam feat chs for ByobNet.
3 years ago
Ross Wightman 16f7aa9f54 Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models
3 years ago
Ross Wightman 4e4b863b15 Missed norm.py
3 years ago
Ross Wightman 7c97e66f7c Remove commented code, add more consistent seed fn
3 years ago
Ross Wightman ce62f96d4d ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
3 years ago
Ross Wightman 21812d33aa Add prelim efficientnet_v2s weights from 224x224 train, eval 83.3 @ 288. Add eca_nfnet_l1 weights, train at 256, eval 84 @ 320.
3 years ago