pytorch-image-models/timm/utils
Ross Wightman e861b74cf8 Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2023-01-06 16:12:33 -08:00
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__init__.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2023-01-06 16:12:33 -08:00
agc.py
checkpoint_saver.py
clip_grad.py
cuda.py
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... 2022-07-18 18:04:54 -07:00
distributed.py Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed. 2022-09-23 16:08:59 -07:00
jit.py disable nvfuser for jit te/legacy modes (for PT 1.12+) 2022-07-13 10:34:34 -07:00
log.py
metrics.py
misc.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2023-01-06 16:12:33 -08:00
model.py
model_ema.py
random.py
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 2022-10-07 10:43:04 -07:00