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…xperimenting...
Initial implementation of blur layer. currently tests as correct against Downsample of original github
clean up code for PR
1. add ResNet argument blur='' 2. implement blur for maxpool and strided convs in downsampling blocks
…and tweaks to go...
Experimental feature extraction interface seems to be changed a little bit with the most up to date version apparently found in EfficientNet class. Here these changes are added to MobileNetV3 class to make it support it and work again, too.
Merge changes in feature extraction interface to MobileNetV3
TResNet models
* 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
…ce any perf difference
…orch-image-models into yoniaflalo-adding_ECA_resnet
…rmatting alignment tweaks.
fix typo in eca
…into VRandme-blur
…Downsample arg order to BlurPool2d for interop
…with AMP + channels_last layout. See pytorch/pytorch#43992
…, normal one is now 'fast'
… train/validate to avoid channels_last issue with AdaptiveAvgPool
Native Torch AMP and channels_last support for train.py and validate.py
Utils refactor, more cutmix modes / change mode arg
…n PyTorch. More sotabench fiddling.
…lename extraction consistency
… impl tweak and dedupe se args.
…oling is not available
Bug fix: test_time_pool would be set to a non-False value
…aler interfaces to support unscaled grad clipping. Bump ver to 0.2.2 for pending release.
…g, add gradient clipping support.
…mizer factory. Fix #247
…th older torch ver for released models
Vision Transformer
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