Gradients'dtype is not fp16 when using torch.cuda.amp - mixed-precision - PyTorch Forums
Pytorch自动混合精度的计算：torch.cuda.amp.autocast_自动cast到模型需要的数据类型-CSDN博客
拿什么拯救我的4G 显卡： PyTorch 节省显存的策略总结-极市开发者社区
Solving the Limits of Mixed Precision Training | by Ben Snyder | Medium
pytorch 高精度编程:自动混合精度（AMP）+Pytorch有什么节省显存_scaler.unscale_-CSDN博客
What is the correct way to use mixed-precision training with OneCycleLR - mixed-precision - PyTorch Forums
When I use amp for accelarate the model, i met the problem“RuntimeError: CUDA error: device-side assert triggered”? - mixed-precision - PyTorch Forums
Utils.checkpoint and cuda.amp, save memory - autograd - PyTorch Forums
How distributed training works in Pytorch: distributed data-parallel and mixed-precision training | AI Summer
请问一下，在使用`torch.cuda.amp`时前向运算中捕获了nan，这个该怎么解决呢？ - 知乎
torch amp mixed precision (autocast, GradScaler)
IDRIS - Utiliser l'AMP (Précision Mixte) pour optimiser la mémoire et accélérer des calculs
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
torch.cuda.amp based mixed precision training · Issue #3282 · facebookresearch/fairseq · GitHub
PyTorch on X: "Running Resnet101 on a Tesla T4 GPU shows AMP to be faster than explicit half-casting: 7/11 https://t.co/XsUIAhy6qU" / X
Torch.cuda.amp cannot speed up on A100 - mixed-precision - PyTorch Forums
torch.cuda.amp, example with 20% memory increase compared to apex/amp · Issue #49653 · pytorch/pytorch · GitHub
from apex import amp instead from torch.cuda import amp error · Issue #1214 · NVIDIA/apex · GitHub
High CPU Usage? - mixed-precision - PyTorch Forums
module 'torch' has no attribute 'autocast'不是版本问题-CSDN博客
PyTorch 源码解读| torch.cuda.amp: 自动混合精度详解-极市开发者社区
Torch.cuda.amp cannot speed up on A100 - mixed-precision - PyTorch Forums
Accelerating PyTorch with CUDA Graphs | PyTorch
混合精度训练amp，torch.cuda.amp.autocast():-CSDN博客
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 ...
Automatic Mixed Precision Training for Deep Learning using PyTorch
