Does this setting affect anything except convolutions and RNNs? Is SDPA backend also affected?
The docs at CUDA semantics — PyTorch 2.9 documentation are not very precise on this ![]()
By default, print(torch.backends.cudnn.fp32_precision) prints not even ieee or tf32, it prints none
Thanks!