“Pytorch”的版本间差异
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==torchvision== |
==torchvision== |
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*PyTorch框架中有一个非常重要且好用的包：torchvision，该包主要由3个子包组成，分别是：torchvision.datasets、torchvision.models、torchvision.transforms |
*PyTorch框架中有一个非常重要且好用的包：torchvision，该包主要由3个子包组成，分别是：torchvision.datasets、torchvision.models、torchvision.transforms [https://www.jianshu.com/p/1ae863c1e66d] |
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*__all__ = ["Compose", "ToTensor", "ToPILImage", "Normalize", "Resize", |
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[https://www.jianshu.com/p/1ae863c1e66d] |
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"Scale", "CenterCrop", "Pad", "Lambda", "RandomCrop", |
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"RandomHorizontalFlip", "RandomVerticalFlip", "RandomResizedCrop", |
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"RandomSizedCrop", "FiveCrop", "TenCrop","LinearTransformation", |
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"ColorJitter", "RandomRotation", "Grayscale", "RandomGrayscale"] |
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2021年10月17日 (日) 06:17的版本
网络初始化
- Xavier and Kaiming initialization [4]
函数
- torch.clamp(input, min=None, max=None, *, out=None) → Tensor
- Clamps all elements in input into the range [ min, max ]. Letting min_value and max_value be min and max, respectively
Tensor
- cpu() numpy() detach() item() [5]
- 注意cuda上面的变量类型只能是tensor，不能是其他
torchvision
- PyTorch框架中有一个非常重要且好用的包：torchvision，该包主要由3个子包组成，分别是：torchvision.datasets、torchvision.models、torchvision.transforms [6]
- __all__ = ["Compose", "ToTensor", "ToPILImage", "Normalize", "Resize",
"Scale", "CenterCrop", "Pad", "Lambda", "RandomCrop", "RandomHorizontalFlip", "RandomVerticalFlip", "RandomResizedCrop", "RandomSizedCrop", "FiveCrop", "TenCrop","LinearTransformation", "ColorJitter", "RandomRotation", "Grayscale", "RandomGrayscale"]