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12 Commits (90a01f47d19838f52142f00805d56b8e94a6ea14)

Author SHA1 Message Date
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
Yusuke Uchida f6b56602f9 fix test_model_default_cfgs
4 years ago
Ross Wightman 4e61c6a12d Cleanup, refactoring of Feature extraction code, add tests, fix tests, non hook feature extraction working with torchscript
4 years ago
Ross Wightman 3b9004bef9 Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces
4 years ago
Ross Wightman eb7653614f Monster commit, activation refactor, VoVNet, norm_act improvements, more
5 years ago
Ross Wightman 0ea53cecc3 Merge branch 'master' into densenet_update_and_more
5 years ago
Ross Wightman afb6bd0669 Add backward and default_cfg tests and fix a few issues found. Fix #153
5 years ago
Vyacheslav Shults a7ebe09029 Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given.
5 years ago
Ross Wightman be7c784d21 Small TResNet simplification, just use SelectAdaptivePool, don't notice any perf difference
5 years ago
Ross Wightman 0004f37d25 Some TResNet cleanup.
5 years ago
talrid 8a63c1add8 finalizing
5 years ago
talrid 6209146738 TResNet models
5 years ago