遇到“ImportError: cannot import name '_c' from 'pytorch3d'”这个错误时,通常意味着pytorch3d库的安装或配置存在问题。以下是一些可能的解决方案,你可以按照这些步骤逐一尝试: 确认pytorch3d库是否正确安装: 首先,确保你已经正确安装了pytorch3d库。你可以通过以下命令来安装或重新安装pytorch3d
Installation issue from a local clone. I installed as mentioned here. The build was successful but got errors in execution. >>> import torch >>> import pytorch3d >>> from pytorch3d import _C Traceback (most recent call last): File "<stdi...
I get this error when importing the pytorch_lightning module. ImportError Traceback (most recent call last) Cell In[14], line 7 4 import yfinance as yf 5 from random import sample, seed ---> 7 import pytorch_lightning as pl 8 from pytorch_lightning.callbacks import EarlyStopping 9...
11.01 import torch_npu.npu#30 11.01 File "/data/miniconda3/envs/ascend-3.10.14/lib/python3.10/site-packages/torch_npu/npu/__init__.py", line 122, in <module>#30 11.01 from torch_npu.utils import _should_print_warning#30 11.01 File "/data/miniconda3/envs/ascend-3.10.14/lib/python3....
在NeRF代码目录下,复制/nerf-pytorch/configs目录下的fern.txt文件,并重命名为自己模型的名称(建议和工作目录名称一致),并修改如下内容: 最后运行代码(也可以在代码中修改默认配置文件路径) pythonrun_nerf.py--configconfigs/COLMAP_test.txt 成功开始训练。
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🐛 Describe the bug I build a docker image, base image is nvcr.io/nvidia/pytorch:22.12-py3. In Dockerfile, I install python3.10 and torch 2.1.0+cuda11.8, But I get error: cannot import name '_get_privateuse1_backend_name' from 'torch._C' ...
First we had the failure of import torch in setup.py. This we got around by adding torch to conda.yml used by azure ml build pipeline. But this pulls in a cpu version of torch. The result is that at runtime when code is deployed to a gpu machine in azure, it complains about torch...
🐛 Describe the bug torch.compile does not work in PyTorch 2.2.0: ImportError: cannot import name 'get_cuda_stream' from 'triton.runtime.jit' (/home/user/.local/lib/python3.10/site-packages/triton/runtime/jit.py) The following script (tak...