torch.backends.cudnn.benchmark
时间: 2023-10-21 21:31:13 浏览: 32
This is a flag that can be set in PyTorch to optimize the performance of convolutional neural networks (CNNs) on NVIDIA GPUs. When this flag is enabled, PyTorch will automatically find the best algorithm to use for the convolution operation based on the size and properties of the input data. This can lead to improved training and inference times.
However, it is important to note that enabling this flag may lead to some variability in results, since the best algorithm may differ depending on the specific input data. Additionally, enabling this flag may use more memory, so it may not be suitable for all applications.
Overall, this flag can be a useful tool for optimizing the performance of CNNs on NVIDIA GPUs, but it should be used with caution and careful consideration of the specific application and hardware setup.