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926 Commits (c1b3cea19df84beb9d5e141272b383e9ba9a0980)

Author SHA1 Message Date
Ross Wightman c1b3cea19d Add maxvit_rmlp_tiny_rw_256 model def and weights w/ 84.2 top-1 @ 256, 84.8 @ 320 2022-09-07 10:27:11 -07:00
Ross Wightman 914544fc81 Add beitv2 224x224 checkpoints from https://github.com/microsoft/unilm/tree/master/beit2 2022-09-06 20:25:18 -07:00
Ross Wightman dc90816f26 Add `maxvit_tiny_rw_224` weights 83.5 @ 224 and `maxvit_rmlp_pico_rw_256` relpos weights, 80.5 @ 256, 81.3 @ 320 2022-09-06 16:14:41 -07:00
Ross Wightman f489f02ad1 Make gcvit window size ratio based to improve resolution changing support #1449. Change default init to original. 2022-09-06 16:14:00 -07:00
Ross Wightman 7f1b223c02 Add maxvit_rmlp_nano_rw_256 model def & weights, make window/grid size dynamic wrt img_size by default 2022-08-29 15:49:32 -07:00
Ross Wightman e6a4361306 pretrained_cfg entry for mvitv2_small_cls 2022-08-28 15:27:01 -07:00
Ross Wightman f66e5f0e35 Fix class token support in MViT-V2, add small_class variant to ensure it's tested. Fix #1443 2022-08-28 15:24:04 -07:00
Ross Wightman f1d2160d85 Update a few maxxvit comments, rename PartitionAttention -> PartitionAttenionCl for consistency with other blocks 2022-08-26 12:53:49 -07:00
Ross Wightman eca6f0a25c Fix syntax error (extra dataclass comma) in maxxvit.py 2022-08-26 11:29:09 -07:00
Ross Wightman ff6a919cf5 Add --fast-norm arg to benchmark.py, train.py, validate.py 2022-08-25 17:20:46 -07:00
Ross Wightman 769ab4b98a Clean up no_grad for trunc normal weight inits 2022-08-25 16:29:52 -07:00
Ross Wightman 48e1df8b37 Add norm/norm_act header comments 2022-08-25 16:29:34 -07:00
Ross Wightman 7c2660576d Tweak init for convnext block using maxxvit/coatnext. 2022-08-25 15:30:59 -07:00
Ross Wightman 1d8d6f6072 Fix two default args in DenseNet blocks... fix #1427 2022-08-25 15:00:35 -07:00
Ross Wightman 527f9a4cb2 Updated to correct maxvit_nano weights... 2022-08-24 12:42:11 -07:00
Ross Wightman b2e8426fca Make k=stride=2 ('avg2') pooling default for coatnet/maxvit. Add weight links. Rename 'combined' partition to 'parallel'. 2022-08-24 11:01:20 -07:00
Ross Wightman 837c68263b For ConvNeXt, use timm internal LayerNorm for fast_norm in non conv_mlp mode 2022-08-23 15:17:12 -07:00
Ross Wightman cac0a4570a More test fixes, pool size for 256x256 maxvit models 2022-08-23 13:38:26 -07:00
Ross Wightman e939ed19b9 Rename internal creation fn for maxvit, has not been just coatnet for a while... 2022-08-22 17:44:51 -07:00
Ross Wightman ffaf97f813 MaxxVit! A very configurable MaxVit and CoAtNet impl with lots of goodies.. 2022-08-22 17:42:10 -07:00
Ross Wightman 8c9696c9df More model and test fixes 2022-08-22 17:40:31 -07:00
Ross Wightman ca52108c2b Fix some model support functions 2022-08-19 10:20:51 -07:00
Ross Wightman f332fc2db7 Fix some test failures, torchscript issues 2022-08-18 16:19:46 -07:00
Ross Wightman 6e559e9b5f Add MViT (Multi-Scale) V2 2022-08-17 15:12:31 -07:00
Ross Wightman 43aa84e861 Add 'fast' layer norm that doesn't cast to float32, support APEX LN impl for slight speed gain, update norm and act factories, tweak SE for ability to disable bias (needed by GCVit) 2022-08-17 14:32:58 -07:00
Ross Wightman c486aa71f8 Add GCViT 2022-08-17 14:29:18 -07:00
Ross Wightman fba6ecd39b Add EfficientFormer 2022-08-17 14:08:53 -07:00
Ross Wightman ff4a38e2c3 Add PyramidVisionTransformerV2 2022-08-17 12:06:05 -07:00
Ross Wightman 1d8ada359a Add timm ConvNeXt 'atto' weights, change test resolution for FB ConvNeXt 224x224 weights, add support for different dw kernel_size 2022-08-15 17:56:08 -07:00
Ross Wightman 2544d3b80f ConvNeXt pico, femto, and nano, pico, femto ols (overlapping stem) weights and model defs 2022-08-05 17:05:50 -07:00
Ross Wightman 13565aad50 Add edgenext_base model def & weight link, update to improve ONNX export #1385 2022-08-05 16:58:34 -07:00
Ross Wightman 8ad4bdfa06 Allow ntuple to be used with string values 2022-07-28 16:18:18 -07:00
Ross Wightman 7430a85d07 Update README, bump version to 0.6.8 2022-07-28 15:07:11 -07:00
Ross Wightman ec6a28830f Add DeiT-III 'medium' model defs and weights 2022-07-28 15:03:20 -07:00
Ross Wightman d875a1d3f6 version 0.6.7 2022-07-27 12:41:06 -07:00
Ross Wightman 6f103a442b Add convnext_nano weights, 80.8 @ 224, 81.5 @ 288 2022-07-26 16:40:27 -07:00
Ross Wightman 4042a94f8f Add weights for two 'Edge' block (3x3->1x1) variants of CS3 networks. 2022-07-26 16:40:27 -07:00
Ross Wightman c8f69e04a9
Merge pull request #1365 from veritable-tech/fix-resize-pos-embed 
Take `no_emb_class` into account when calling  `resize_pos_embed`
 2022-07-24 21:03:01 -07:00
Ceshine Lee 0b64117592 Take `no_emb_class` into account when calling `resize_pos_embed` 2022-07-24 19:11:45 +08:00
Jasha10 56c3a84db3
Update type hint for `register_notrace_module` 
register_notrace_module is used to decorate types (i.e. subclasses of nn.Module).
It is not called on module instances.
 2022-07-22 16:59:55 -05:00
Ross Wightman 1b278136c3 Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355 2022-07-21 17:36:15 -07:00
Ross Wightman 909705e7ff Remove some redundant requires_grad=True from nn.Parameter in third party code 2022-07-20 12:37:41 -07:00
Ross Wightman c5e0d1c700 Add dilation support to convnext, allows output_stride=8 and 16 use. Fix #1341 2022-07-19 17:52:10 -07:00
Ross Wightman dc376e3676 Ensure all model entrypoint fn default to `pretrained=False` (a few didn't) 2022-07-19 13:58:41 -07:00
Ross Wightman 23b102064a Add cs3sedarknet_x weights w/ 82.65 @ 288 top1. Add 2 cs3 edgenet models (w/ 3x3-1x1 block), remove aa from cspnet blocks (not needed) 2022-07-19 13:56:44 -07:00
Ross Wightman 0dbd9352ce Add bulk_runner script and updates to benchmark.py and validate.py for better error handling in bulk runs (used for benchmark and validation result runs). Improved batch size decay stepping on retry... 2022-07-18 18:04:54 -07:00
Ross Wightman 92b91af3bb version 0.6.6 2022-07-15 17:00:18 -07:00
Ross Wightman 05313940e2 Add cs3darknet_x, cs3sedarknet_l, and darknetaa53 weights from TPU sessions. Move SE btwn conv1 & conv2 in DarkBlock. Improve SE/attn handling in Csp/DarkNet. Fix leaky_relu bug on older csp models. 2022-07-15 16:55:16 -07:00
nateraw 51cca82aa1 👽 use hf_hub_download instead of cached_download 2022-07-14 16:41:45 -04:00
Ross Wightman 324a4e58b6 disable nvfuser for jit te/legacy modes (for PT 1.12+) 2022-07-13 10:34:34 -07:00