Pytorch 加载 模型

Pytorch with CUDA-aware MPI backend for distributed training

Implementation of Fast Transformer in Pytorch

pytorch docker images

Implementation of Lumiere, SOTA text-to-video generation from Google Deepmind, in Pytorch

pytorch nightly + xformers + deepspeed

Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch

Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch

Determined Environments

在pytorch中有两种模型保存方式，如下所示： # 第一种：只保留模型参数：torch.save(model.state_dict(),path)# 保存model.load_state_dict(torch.load(path))# 加载（需提前定义模型）# 第二种：保存整个模型：torch.s