针对你提出的问题“cannot import name 'replicate' from 'torch.distributed.tensor'”,以下是我的详细回答: 确认replicate函数是否在torch.distributed.tensor模块中: 经过检查,torch.distributed.tensor模块中确实没有replicate函数。在PyTorch中,replicate函数
Installing Transformers from source - cannot import name 'DTensor' from 'torch.distributed.tensor' · Issue #867 · QwenLM/Qwen2.5-VL
outputs = net(val_image) # [batch, 10] predict_y = torch.max(outputs, dim=1)[1] accuracy = torch.eq(predict_y, val_label).sum().item() / val_label.size(0) print('[%d, %5d] train_loss: %.3f test_accuracy: %.3f' % (epoch + 1, step + 1, running_loss / 500, accurac...
ImportError: cannot import name 'PrepareModuleOutput' from 'torch.distributed.tensor.parallel' (/home/Ubuntu/miniconda3/envs/VchitectXL/lib/python3.11/site-packages/torch/distributed/tensor/parallel/init.py) I would highly appreciate if I get some proper answer here as have already spent hours on...
>>> import torch >>> a = torch.tensor([2.0], requires_grad=True) >>> b = a * a >>> b tensor([4.], grad_fn=<MulBackward0>) >>> b.backward() >>> a.grad tensor([4.]) AdvertisementAdd Comment Please, Sign In to add comment ...
[PyTorch填坑之旅]·from torch._C import * ImportError: DLL load failed解决方法 1、问题概述 这是笔者在windows10平台安装PyTorch1.10时遇到的问题。 笔者使用conda安装PyTorch1.10 gpu版本指令如是:conda install pytorch torchvision cudatoolkit=9.0 -c pytorch ...
学习 DISTRIBUTED COMMUNICATION PACKAGE - TORCH.DISTRIBUTED · 语雀实际上,在处理 NVIDIA 脚本的时候,主要难度在使用尽可能少的改动运行多机分布式上,因为大范围逻辑修改会引入潜在的性能变化,并增加用户复现的复杂度,代码版本管理也容易变得混乱。因此,我还是希望只在代码上稍作修改,这样既可以方便操作,同时尽可能地...
我认为主要的混淆来自于包的命名。SparseTensor来自torch_sparse，但是你发布了torch.sparse的文档。第一个...
The torch.cuda.DoubleTensor is replaced with torch.npu.FloatTensor cause the double type is not supported now.. The backend in torch.distributed.init_process_group set to hccl now.. The torch.cuda.* and torch.cuda.amp.* are replaced with torch.npu.* and torch.npu.amp.* now.. ...
The reason to useTensordirectly compared totorch.Tensoris an attempt to have lower cost of this function. Let's take a look at what I think is about the average case of 16 inputs to the fusion: In[1]:importtorch In[2]:fromtorchimportTensor ...