126 Commits (e5da481073ac4beb634ee9b33e264baa3bee8688)

Author	SHA1	Message	Date
Ross Wightman	d8e69206be	Merge pull request #419 from rwightman/byob_vgg_models ... More models, GPU-Efficient Nets, RepVGG, classic VGG, and flexible Byob backbone.	4 years ago
Reuben	94ca140b67	update collections.abc import	4 years ago
Ross Wightman	1bcc69e0ad	Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.	4 years ago
Ross Wightman	9811e229f7	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	4 years ago
Ross Wightman	a39c3ee216	Merge branch 'master' into eca-weights	4 years ago
Ross Wightman	68a4144882	Add new weights for ecaresnet26t/50t/269d models. Remove distinction between 't' and 'tn' (tiered models), tn is now t. Add test time img size spec to default cfg.	4 years ago
Ross Wightman	b9843f954b	Merge pull request #282 from tigert1998/patch-1 ... Add symbolic for SwishJitAutoFn to support onnx	4 years ago
hwangdeyu	7a4be5c035	add operator HardSwishJitAutoFn export to onnx	4 years ago
Ross Wightman	90980de4a9	Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv.	4 years ago
Ross Wightman	5a8e1e643e	Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.	4 years ago
Ross Wightman	231d04e91a	ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.	4 years ago
Ross Wightman	2ed8f24715	A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.	4 years ago
Ross Wightman	460eba7f24	Work around casting issue with combination of native torch AMP and torchscript for Linear layers	4 years ago
Ross Wightman	5f4b6076d8	Fix inplace arg compat for GELU and PreLU via activation factory	4 years ago
Ross Wightman	fd962c4b4a	Native SiLU (Swish) op doesn't export to ONNX	4 years ago
tigertang	43f2500c26	Add symbolic for SwishJitAutoFn to support onnx	4 years ago
Ross Wightman	e90edce438	Support native silu activation (aka swish). An optimized ver is available in PyTorch 1.7.	4 years ago
Ross Wightman	f31933cb37	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
Ross Wightman	fcb6258877	Add missing leaky_relu layer factory defn, update Apex/Native loss scaler interfaces to support unscaled grad clipping. Bump ver to 0.2.2 for pending release.	4 years ago
Ross Wightman	e8ca45854c	More models in sotabench, more control over sotabench run, dataset filename extraction consistency	4 years ago
Ross Wightman	80c9d9cc72	Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'	4 years ago
Ross Wightman	110a7c4982	AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992	4 years ago
Ross Wightman	fc8b8afb6f	Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance.	4 years ago
Ross Wightman	b1f1a54de9	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
Ross Wightman	7995295968	Merge branch 'logger' into features. Change 'logger' to '_logger'.	4 years ago
Ross Wightman	1998bd3180	Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger	4 years ago
Ross Wightman	6c17d57a2c	Fix some attributions, add copyrights to some file docstrings	4 years ago
Ross Wightman	7ba5a384d3	Add ReXNet w/ remapped weights, feature support	4 years ago
Ross Wightman	298fba09ac	Back out some activation hacks trialing upcoming pytorch changes	4 years ago
Ross Wightman	3b9004bef9	Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces	4 years ago
Ross Wightman	3b6cce4c95	Add initial impl of CrossStagePartial networks, yet to be trained, not quite the same as darknet cfgs.	4 years ago
Ross Wightman	3aebc2f06c	Switch DPN to use BnAct layer, train a new DPN 68b model with RA to 79.21	4 years ago
Ross Wightman	f122f0274b	Significant ResNet refactor: ... * stage creation + make_layer moved to separate fn with more sensible dilation/output_stride calc * drop path rate decay easy to impl with refactored block creation loops * fix dilation + blur pool combo	4 years ago
Ross Wightman	d0113f9cdb	Fix a few issues that came up in tests	4 years ago
Ross Wightman	151679c2f1	Add custom grad tests, fix cut & paste error with hard_mish ME, add a few more pytorch act fns to factory	5 years ago
Antoine Broyelle	78fa0772cc	Leverage python hierachical logger ... with this update one can tune the kind of logs generated by timm but training and inference traces are unchanged	5 years ago
Ross Wightman	4ddde1d3a4	Fix two regressions	5 years ago
Ross Wightman	88129b2569	Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.	5 years ago
Ross Wightman	f28170df3f	Fix an an untested change, remove a debug print	5 years ago
Ross Wightman	eb7653614f	Monster commit, activation refactor, VoVNet, norm_act improvements, more ... * refactor activations into basic PyTorch, jit scripted, and memory efficient custom auto * implement hard-mish, better grad for hard-swish * add initial VovNet V1/V2 impl, fix #151 * VovNet and DenseNet first models to use NormAct layers (support BatchNormAct2d, EvoNorm, InplaceIABN) * Wrap IABN for any models that use it * make more models torchscript compatible (DPN, PNasNet, Res2Net, SelecSLS) and add tests	5 years ago
Ross Wightman	0ea53cecc3	Merge branch 'master' into densenet_update_and_more	5 years ago
Ross Wightman	50658b9a67	Add RegNet models and weights	5 years ago
Ross Wightman	7df83258c9	Merge branch 'master' into densenet_update_and_more	5 years ago
Ross Wightman	1904ed8fec	Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups	5 years ago
Ross Wightman	17270c69b9	Remove annoying InceptionV3 dependency on scipy and insanely slow trunc_norm init. Bring InceptionV3 code into this codebase and use upcoming torch trunch_norm_ init.	5 years ago
Ross Wightman	208e7912f7	Missed one of the abalation model entrypoints, update README	5 years ago
Ross Wightman	f4cdc2ac31	Add ResNeSt models	5 years ago
Ross Wightman	780860d140	Add norm_act factory method, move JIT of norm layers to factory	5 years ago
Ross Wightman	14edacdf9a	DenseNet converted to support ABN (norm + act) modules. Experimenting with EvoNorm, IABN	5 years ago
Ross Wightman	8d8677e03b	Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too.	5 years ago
Ross Wightman	2c438c4e0d	Merge branch 'master' of github.com:rwightman/pytorch-models	5 years ago
Ross Wightman	2681a8d618	Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop	5 years ago
Ross Wightman	9590f301a9	Merge branch 'blur' of https://github.com/VRandme/pytorch-image-models into VRandme-blur	5 years ago
Ross Wightman	a5220ad3aa	Merge pull request #125 from Separius/patch-1 ... fix typo in eca	5 years ago
Ross Wightman	e3a98171b2	Remove some CRLF that made it into TResNet merge	5 years ago
Ross Wightman	0004f37d25	Some TResNet cleanup. ... * allow use of global pool arg, test-time-pooling * clean checkpoints to just contain state dict, add 448 res checkpoints * support DataParallel via lazy filter creation for JIT Downsample * some minor formatting (mostly alignment) preferences	5 years ago
Sepehr Sameni	20290b5b56	fix typo in eca	5 years ago
talrid	6209146738	TResNet models	5 years ago
Ross Wightman	1a8f5900ab	Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.	5 years ago
Chris Ha	06a50a94a8	Fix minor typos in create_attn.py and resnet.py ... 'eca'->'ceca' and doest not-> does not	5 years ago
Ross Wightman	1a9ab07307	One too many changes at a time, fix missing C	5 years ago
Ross Wightman	f17b42bc33	Blur filter no longer a buffer	5 years ago
Ross Wightman	6cdeca24a3	Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...	5 years ago
Chris Ha	acd1b6cccd	Implement Functional Blur on resnet.py ... 1. add ResNet argument blur='' 2. implement blur for maxpool and strided convs in downsampling blocks	5 years ago
Chris Ha	ce3d82b58b	Update blurpool.py ... clean up code for PR	5 years ago
Chris Ha	3a287a6e76	Create blurpool.py ... Initial implementation of blur layer. currently tests as correct against Downsample of original github	5 years ago
Ross Wightman	c60069c1eb	Annotate types on drop fns to avoid torchscript error	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	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 ... * select_conv2d -> create_conv2d * added create_attn to create attention module from string/bool/module * factor padding helpers into own file, use in both conv2d_same and avg_pool2d_same * add some more test eca resnet variants * minor tweaks, naming, comments, consistency	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	4defbbbaa8	Fix module name mistake, start layers sub-package	5 years ago