T.Normalize(mean, std) 输入(channel,height,width)形式的tensor,并输入每个channel对应的均值和标准差作为参数,函数会利用这两个参数分别将每层标准化(使数据均值为0,方差为1)后输出。即: 将两个参数都设置为0.5并与transforms.ToTensor()一起使用 可以使将数据强制缩放到[-1,1]区间上...
Move checks for zeros and tensor creation toinitof torchvision transform normalize https://pytorch.org/vision/main/_modules/torchvision/transforms/transforms.html#Normalize Motivation, pitch The mean and std attributes normally don't change, so checking if they are valid and creating tensors from the...
pre-normalize the lm_head weights 2023-11-16 14:36:27,571 - WARNING - Xformers is not installed correctly. If you want to use memory_efficient_attention to accelerate training use the following command to install Xformers pip install xformers. Inference time: 1.9608478546142578 s --- Promp...