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...
LLM: Fix baichuan pre-normalize model tensor assigning issue when loa… … 30abd30 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Reviewers shane-huang Assignees No one assigned Labels None yet Projects None yet Milestone No milestone...