143 Commits (cd059cbe9c3bf22e21db97963c8aeb15bb9c6fd0)

Author	SHA1	Message	Date
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	4 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	4 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