![My first training epoch takes about 1 hour where after that every epoch takes about 25 minutes.Im using amp, gradient accum, grad clipping, torch.backends.cudnn.benchmark=True,Adam optimizer,Scheduler with warmup, resnet+arcface.Is putting benchmark ... My first training epoch takes about 1 hour where after that every epoch takes about 25 minutes.Im using amp, gradient accum, grad clipping, torch.backends.cudnn.benchmark=True,Adam optimizer,Scheduler with warmup, resnet+arcface.Is putting benchmark ...](https://i.redd.it/jz2pbenfw7d81.png)
My first training epoch takes about 1 hour where after that every epoch takes about 25 minutes.Im using amp, gradient accum, grad clipping, torch.backends.cudnn.benchmark=True,Adam optimizer,Scheduler with warmup, resnet+arcface.Is putting benchmark ...
AttributeError: module 'torch.cuda.amp' has no attribute 'autocast' · Issue #776 · ultralytics/yolov5 · GitHub
torch.cuda.amp, example with 20% memory increase compared to apex/amp · Issue #49653 · pytorch/pytorch · GitHub
![PyTorch on X: "For torch <= 1.9.1, AMP was limited to CUDA tensors using ` torch.cuda.amp. autocast()` v1.10 onwards, PyTorch has a generic API `torch. autocast()` that automatically casts * CUDA tensors to PyTorch on X: "For torch <= 1.9.1, AMP was limited to CUDA tensors using ` torch.cuda.amp. autocast()` v1.10 onwards, PyTorch has a generic API `torch. autocast()` that automatically casts * CUDA tensors to](https://pbs.twimg.com/media/FCCdDKKXEAMP0i6.png)
PyTorch on X: "For torch <= 1.9.1, AMP was limited to CUDA tensors using ` torch.cuda.amp. autocast()` v1.10 onwards, PyTorch has a generic API `torch. autocast()` that automatically casts * CUDA tensors to
![What is the correct way to use mixed-precision training with OneCycleLR - mixed-precision - PyTorch Forums What is the correct way to use mixed-precision training with OneCycleLR - mixed-precision - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/9/9/990b73cc0e21170b3546bd1cd7aad3edc0ba8681.png)