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pytorch-image-models/timm/utils
Lorenzo Baraldi e09b4d5c7f
Gradient accumulation included into training script
2 years ago
..
__init__.py Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed. 2 years ago
agc.py
checkpoint_saver.py
clip_grad.py
cuda.py Gradient accumulation included into training script 2 years ago
decay_batch.py Add bulk_runner script and updates to benchmark.py and validate.py for better error handling in bulk runs (used for benchmark and validation result runs). Improved batch size decay stepping on retry... 2 years ago
distributed.py Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed. 2 years ago
jit.py disable nvfuser for jit te/legacy modes (for PT 1.12+) 2 years ago
log.py
metrics.py Tweak accuracy topk safety. Fix #807 3 years ago
misc.py
model.py Fix some formatting in utils/model.py 3 years ago
model_ema.py
random.py Remove commented code, add more consistent seed fn 4 years ago
summary.py Scheduler update, add v2 factory method, support scheduling on updates instead of just epochs. Add LR to summary csv. Add lr_base scaling calculations to train script. Fix #1168 2 years ago