7 Commits (578d52e7522bb20eba36fa1ab341a37eb088dc67)

Author	SHA1	Message	Date
Ross Wightman	ab49d275de	Significant norm update ... * ConvBnAct layer renamed -> ConvNormAct and ConvNormActAa for anti-aliased * Significant update to EfficientNet and MobileNetV3 arch to support NormAct layers and grouped conv (as alternative to depthwise) * Update RegNet to add Z variant * Add Pre variant of XceptionAligned that works with NormAct layers * EvoNorm matches bits_and_tpu branch for merge	3 years ago
Ross Wightman	78912b6375	Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.	3 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	6c17d57a2c	Fix some attributions, add copyrights to some file docstrings	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	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	780860d140	Add norm_act factory method, move JIT of norm layers to factory	5 years ago