C:\Users\wangs>nvidia-smi
Sun Nov 23 18:46:42 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 556.19 Driver Version: 556.19 CUDA Version: 12.5 |这是我的电脑，在anaconda中操作，
(base) C:\Users\wangs>conda activate Resnet
(Resnet) C:\Users\wangs>conda install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
usage: conda-script.py [-h] [-v] [--no-plugins] [-V] COMMAND ...
conda-script.py: error: unrecognized arguments: --index-url https://download.pytorch.org/whl/cu121
(Resnet) C:\Users\wangs>pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
Looking in indexes: https://download.pytorch.org/whl/cu121
Collecting torch
Using cached https://download.pytorch.org/whl/cu121/torch-2.5.1%2Bcu121-cp39-cp39-win_amd64.whl (2449.3 MB)
Collecting torchvision
Using cached https://download.pytorch.org/whl/cu121/torchvision-0.20.1%2Bcu121-cp39-cp39-win_amd64.whl (6.1 MB)
Collecting torchaudio
Using cached https://download.pytorch.org/whl/cu121/torchaudio-2.5.1%2Bcu121-cp39-cp39-win_amd64.whl (4.1 MB)
Collecting filelock (from torch)
Downloading https://download.pytorch.org/whl/filelock-3.19.1-py3-none-any.whl.metadata (2.1 kB)
Requirement already satisfied: typing-extensions>=4.8.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from torch) (4.14.1)
Collecting networkx (from torch)
Downloading https://download.pytorch.org/whl/networkx-3.5-py3-none-any.whl.metadata (6.3 kB)
Requirement already satisfied: jinja2 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from torch) (3.1.6)
Collecting fsspec (from torch)
Downloading https://download.pytorch.org/whl/fsspec-2025.9.0-py3-none-any.whl.metadata (10 kB)
Collecting sympy==1.13.1 (from torch)
Using cached https://download.pytorch.org/whl/sympy-1.13.1-py3-none-any.whl (6.2 MB)
Collecting mpmath<1.4,>=1.1.0 (from sympy==1.13.1->torch)
Downloading https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)
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Requirement already satisfied: numpy in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from torchvision) (2.0.2)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision)
Downloading https://download.pytorch.org/whl/pillow-11.3.0-cp39-cp39-win_amd64.whl.metadata (9.2 kB)
Requirement already satisfied: MarkupSafe>=2.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from jinja2->torch) (3.0.2)
INFO: pip is looking at multiple versions of networkx to determine which version is compatible with other requirements. This could take a while.
Collecting networkx (from torch)
Downloading https://download.pytorch.org/whl/networkx-3.2.1-py3-none-any.whl.metadata (5.2 kB)
Downloading https://download.pytorch.org/whl/pillow-11.3.0-cp39-cp39-win_amd64.whl (7.0 MB)
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Downloading https://download.pytorch.org/whl/filelock-3.19.1-py3-none-any.whl (15 kB)
Downloading https://download.pytorch.org/whl/fsspec-2025.9.0-py3-none-any.whl (199 kB)
Downloading https://download.pytorch.org/whl/networkx-3.2.1-py3-none-any.whl (1.6 MB)
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Installing collected packages: mpmath, sympy, pillow, networkx, fsspec, filelock, torch, torchvision, torchaudio
Successfully installed filelock-3.19.1 fsspec-2025.9.0 mpmath-1.3.0 networkx-3.2.1 pillow-11.3.0 sympy-1.13.1 torch-2.5.1+cu121 torchaudio-2.5.1+cu121 torchvision-0.20.1+cu121
(Resnet) C:\Users\wangs>conda install monai
Channels:
- conda-forge
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
- defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\wangs\anaconda3\envs\Resnet
added / updated specs:
- monai
The following packages will be downloaded:
package | build
---------------------------|-----------------
_openmp_mutex-4.5 | 2_gnu 48 KB conda-forge
cuda-cudart-12.9.79 | he0c23c2_0 167 KB conda-forge
cuda-cudart_win-64-12.9.79 | he0c23c2_0 23 KB conda-forge
cuda-cupti-12.9.79 | hac47afa_1 3.8 MB conda-forge
cuda-nvrtc-12.9.86 | hac47afa_1 55.8 MB conda-forge
cuda-version-12.9 | h4f385c5_3 21 KB conda-forge
cudnn-9.10.2.21 | h32ff316_0 19 KB conda-forge
filelock-3.19.1 | pyhd8ed1ab_0 18 KB conda-forge
fsspec-2025.7.0 | pyhd8ed1ab_0 142 KB conda-forge
intel-openmp-2024.2.1 | h57928b3_1083 1.8 MB conda-forge
libblas-3.9.0 | 35_h5709861_mkl 64 KB conda-forge
libcblas-3.9.0 | 35_h2a3cdd5_mkl 65 KB conda-forge
libcublas-12.9.1.4 | hac47afa_1 439.8 MB conda-forge
libcudnn-9.10.2.21 | hca898b4_0 486.1 MB conda-forge
libcudnn-dev-9.10.2.21 | hca898b4_0 153 KB conda-forge
libcudss-0.6.0.5 | hca898b4_0 33.7 MB conda-forge
libcufft-11.4.1.4 | hac47afa_1 154.7 MB conda-forge
libcurand-10.3.10.19 | hac47afa_1 46.8 MB conda-forge
libcusolver-11.7.5.82 | hac47afa_2 189.0 MB conda-forge
libcusparse-12.5.10.65 | hac47afa_2 196.9 MB conda-forge
liblapack-3.9.0 | 35_hf9ab0e9_mkl 77 KB conda-forge
libmagma-2.9.0 | hb6a17ea_3 441.8 MB conda-forge
libnvjitlink-12.9.86 | hac47afa_2 26.1 MB conda-forge
libtorch-2.7.1 |cuda128_mkl_h2cc4d28_304 517.5 MB conda-forge
libuv-1.51.0 | hfd05255_1 290 KB conda-forge
llvm-openmp-20.1.8 | h29ce207_0 329 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/man
mkl-2024.2.2 | h57928b3_16 98.3 MB conda-forge
monai-1.5.1 | pyhd8ed1ab_0 1.2 MB conda-forge
mpmath-1.3.0 | pyhd8ed1ab_1 429 KB conda-forge
networkx-3.2.1 | pyhd8ed1ab_0 1.1 MB conda-forge
optree-0.17.0 | py39h9da4e41_0 326 KB conda-forge
pybind11-3.0.1 | pyh7a1b43c_0 227 KB conda-forge
pybind11-global-3.0.1 | pyh5e4992e_0 222 KB conda-forge
pytorch-2.7.1 |cuda128_mkl_py39_hf237e59_304 22.6 MB conda-forge
sleef-3.9.0 | h67fd636_0 2.2 MB conda-forge
sympy-1.14.0 | pyh04b8f61_5 4.4 MB conda-forge
tbb-2021.13.0 | hd094cb3_4 146 KB conda-forge
------------------------------------------------------------
Total: 2.66 GB
The following NEW packages will be INSTALLED:
_openmp_mutex conda-forge/win-64::_openmp_mutex-4.5-2_gnu
cuda-cudart conda-forge/win-64::cuda-cudart-12.9.79-he0c23c2_0
cuda-cudart_win-64 conda-forge/noarch::cuda-cudart_win-64-12.9.79-he0c23c2_0
cuda-cupti conda-forge/win-64::cuda-cupti-12.9.79-hac47afa_1
cuda-nvrtc conda-forge/win-64::cuda-nvrtc-12.9.86-hac47afa_1
cuda-version conda-forge/noarch::cuda-version-12.9-h4f385c5_3
cudnn conda-forge/win-64::cudnn-9.10.2.21-h32ff316_0
filelock conda-forge/noarch::filelock-3.19.1-pyhd8ed1ab_0
fsspec conda-forge/noarch::fsspec-2025.7.0-pyhd8ed1ab_0
intel-openmp conda-forge/win-64::intel-openmp-2024.2.1-h57928b3_1083
libabseil conda-forge/win-64::libabseil-20250512.1-cxx17_habfad5f_0
libcublas conda-forge/win-64::libcublas-12.9.1.4-hac47afa_1
libcudnn conda-forge/win-64::libcudnn-9.10.2.21-hca898b4_0
libcudnn-dev conda-forge/win-64::libcudnn-dev-9.10.2.21-hca898b4_0
libcudss conda-forge/win-64::libcudss-0.6.0.5-hca898b4_0
libcufft conda-forge/win-64::libcufft-11.4.1.4-hac47afa_1
libcurand conda-forge/win-64::libcurand-10.3.10.19-hac47afa_1
libcusolver conda-forge/win-64::libcusolver-11.7.5.82-hac47afa_2
libcusparse conda-forge/win-64::libcusparse-12.5.10.65-hac47afa_2
libgomp conda-forge/win-64::libgomp-15.2.0-h1383e82_7
libmagma conda-forge/win-64::libmagma-2.9.0-hb6a17ea_3
libnvjitlink conda-forge/win-64::libnvjitlink-12.9.86-hac47afa_2
libprotobuf conda-forge/win-64::libprotobuf-6.31.1-hdcda5b4_2
libtorch conda-forge/win-64::libtorch-2.7.1-cuda128_mkl_h2cc4d28_304
libuv conda-forge/win-64::libuv-1.51.0-hfd05255_1
monai conda-forge/noarch::monai-1.5.1-pyhd8ed1ab_0
mpmath conda-forge/noarch::mpmath-1.3.0-pyhd8ed1ab_1
networkx conda-forge/noarch::networkx-3.2.1-pyhd8ed1ab_0
optree conda-forge/win-64::optree-0.17.0-py39h9da4e41_0
pybind11 conda-forge/noarch::pybind11-3.0.1-pyh7a1b43c_0
pybind11-global conda-forge/noarch::pybind11-global-3.0.1-pyh5e4992e_0
pytorch conda-forge/win-64::pytorch-2.7.1-cuda128_mkl_py39_hf237e59_304
sleef conda-forge/win-64::sleef-3.9.0-h67fd636_0
sympy conda-forge/noarch::sympy-1.14.0-pyh04b8f61_5
The following packages will be SUPERSEDED by a higher-priority channel:
llvm-openmp conda-forge::llvm-openmp-21.1.6-h4fa8~ --> anaconda/pkgs/main::llvm-openmp-20.1.8-h29ce207_0
The following packages will be DOWNGRADED:
libblas 3.11.0-2_hf2e6a31_mkl --> 3.9.0-35_h5709861_mkl
libcblas 3.11.0-2_h2a3cdd5_mkl --> 3.9.0-35_h2a3cdd5_mkl
liblapack 3.11.0-2_hf9ab0e9_mkl --> 3.9.0-35_hf9ab0e9_mkl
mkl 2025.3.0-hac47afa_454 --> 2024.2.2-h57928b3_16
tbb 2022.3.0-hd094cb3_1 --> 2021.13.0-hd094cb3_4
Proceed ([y]/n)? y
done
(Resnet) C:\Users\wangs>conda install pandas numpy scikit-learn -y
Channels:
- conda-forge
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
done
(Resnet) C:\Users\wangs>pip install tensorboard
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting tensorboard
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/9c/d9/a5db55f88f258ac669a92858b70a714bbbd5acd993820b41ec4a96a4d77f/tensorboard-2.20.0-py3-none-any.whl (5.5 MB)
Collecting absl-py>=0.4 (from tensorboard)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8f/aa/ba0014cc4659328dc818a28827be78e6d97312ab0cb98105a770924dc11e/absl_py-2.3.1-py3-none-any.whl (135 kB)
Collecting grpcio>=1.48.2 (from tensorboard)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/de/d1/fb90564a981eedd3cd87dc6bfd7c249e8a515cfad1ed8e9af73be223cd3b/grpcio-1.76.0-cp39-cp39-win_amd64.whl (4.7 MB)
Collecting markdown>=2.6.8 (from tensorboard)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/70/ae/44c4a6a4cbb496d93c6257954260fe3a6e91b7bed2240e5dad2a717f5111/markdown-3.9-py3-none-any.whl (107 kB)
Requirement already satisfied: numpy>=1.12.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from tensorboard) (2.0.2)
Requirement already satisfied: packaging in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from tensorboard) (25.0)
Requirement already satisfied: pillow in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from tensorboard) (11.3.0)
Collecting protobuf!=4.24.0,>=3.19.6 (from tensorboard)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a2/0f/77b5a12825d59af2596634f062eb1a472f44494965a05dcd97cb5daf3ae5/protobuf-6.33.1-cp39-cp39-win_amd64.whl (436 kB)
Requirement already satisfied: setuptools>=41.0.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from tensorboard) (80.9.0)
Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7a/13/e503968fefabd4c6b2650af21e110aa8466fe21432cd7c43a84577a89438/tensorboard_data_server-0.7.2-py3-none-any.whl (2.4 kB)
Collecting werkzeug>=1.0.1 (from tensorboard)
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/52/24/ab44c871b0f07f491e5d2ad12c9bd7358e527510618cb1b803a88e986db1/werkzeug-3.1.3-py3-none-any.whl (224 kB)
Requirement already satisfied: typing-extensions~=4.12 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from grpcio>=1.48.2->tensorboard) (4.14.1)
Requirement already satisfied: importlib-metadata>=4.4 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from markdown>=2.6.8->tensorboard) (8.7.0)
Requirement already satisfied: zipp>=3.20 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard) (3.23.0)
Requirement already satisfied: MarkupSafe>=2.1.1 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from werkzeug>=1.0.1->tensorboard) (3.0.2)
Installing collected packages: werkzeug, tensorboard-data-server, protobuf, grpcio, absl-py, markdown, tensorboard
Successfully installed absl-py-2.3.1 grpcio-1.76.0 markdown-3.9 protobuf-6.33.1 tensorboard-2.20.0 tensorboard-data-server-0.7.2 werkzeug-3.1.3
(Resnet) C:\Users\wangs>pip install nibabel
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting nibabel
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/43/b2/dc384197be44e2a640bb43311850e23c2c30f3b82ce7c8cdabbf0e53045e/nibabel-5.3.2-py3-none-any.whl (3.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.3/3.3 MB 10.2 MB/s 0:00:00
Collecting importlib-resources>=5.12 (from nibabel)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a4/ed/1f1afb2e9e7f38a545d628f864d562a5ae64fe6f7a10e28ffb9b185b4e89/importlib_resources-6.5.2-py3-none-any.whl (37 kB)
Requirement already satisfied: numpy>=1.22 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from nibabel) (2.0.2)
Requirement already satisfied: packaging>=20 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from nibabel) (25.0)
Requirement already satisfied: typing-extensions>=4.6 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from nibabel) (4.14.1)
Requirement already satisfied: zipp>=3.1.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from importlib-resources>=5.12->nibabel) (3.23.0)
Installing collected packages: importlib-resources, nibabel
Successfully installed importlib-resources-6.5.2 nibabel-5.3.2
(Resnet) C:\Users\wangs>pip install chardet
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting chardet
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/38/6f/f5fbc992a329ee4e0f288c1fe0e2ad9485ed064cac731ed2fe47dcc38cbf/chardet-5.2.0-py3-none-any.whl (199 kB)
Installing collected packages: chardet
Successfully installed chardet-5.2.0
(Resnet) C:\Users\wangs>conda install tqdm -y
Channels:
done
(Resnet) C:\Users\wangs>python -c "import torch; print('PyTorch:', torch.__version__); print('CUDA可用:', torch.cuda.is_available())"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\__init__.py", line 2126, in <module>
from torch import _VF as _VF, functional as functional # usort: skip
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\functional.py", line 8, in <module>
import torch.nn.functional as F
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\nn\__init__.py", line 8, in <module>
from torch.nn.modules import * # usort: skip # noqa: F403
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\nn\modules\__init__.py", line 1, in <module>
from .module import Module # usort: skip
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\nn\modules\module.py", line 17, in <module>
from torch.utils._python_dispatch import is_traceable_wrapper_subclass
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\utils\__init__.py", line 8, in <module>
from torch.utils import (
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\utils\data\__init__.py", line 1, in <module>
from torch.utils.data.dataloader import (
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\utils\data\dataloader.py", line 21, in <module>
import torch.distributed as dist
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\distributed\__init__.py", line 122, in <module>
from .device_mesh import DeviceMesh, init_device_mesh
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\distributed\device_mesh.py", line 40, in <module>
from torch.distributed.distributed_c10d import (
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\distributed\distributed_c10d.py", line 236, in <module>
class Backend(str): # noqa: SLOT000
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\distributed\distributed_c10d.py", line 287, in Backend
XCCL: ProcessGroup.BackendType.XCCL,
AttributeError: type object 'torch._C._distributed_c10d.BackendType' has no attribute 'XCCL'
(Resnet) C:\Users\wangs>pip uninstall torch torchvision torchaudio -y
Found existing installation: torch 2.5.1+cu121
Uninstalling torch-2.5.1+cu121:
Successfully uninstalled torch-2.5.1+cu121
WARNING: Failed to remove contents in a temporary directory 'C:\Users\wangs\anaconda3\envs\Resnet\Lib\site-packages\torch\~ib'.
You can safely remove it manually.
Found existing installation: torchvision 0.20.1+cu121
Uninstalling torchvision-0.20.1+cu121:
Successfully uninstalled torchvision-0.20.1+cu121
Found existing installation: torchaudio 2.5.1+cu121
Uninstalling torchaudio-2.5.1+cu121:
Successfully uninstalled torchaudio-2.5.1+cu121
(Resnet) C:\Users\wangs>conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
Channels:
- pytorch
- nvidia
- conda-forge
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
- defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\wangs\anaconda3\envs\Resnet
added / updated specs:
- pytorch
- pytorch-cuda=11.8
- torchaudio
- torchvision
The following packages will be downloaded:
package | build
---------------------------|-----------------
cuda-cccl-12.9.27 | 0 16 KB nvidia
cuda-cccl_win-64-12.9.27 | 0 1.1 MB nvidia
cuda-cudart-11.8.89 | 0 1.4 MB nvidia
cuda-cudart-dev-11.8.89 | 0 723 KB nvidia
cuda-cupti-11.8.87 | 0 11.5 MB nvidia
cuda-libraries-11.8.0 | 0 1 KB nvidia
cuda-libraries-dev-11.8.0 | 0 1 KB nvidia
cuda-nvrtc-11.8.89 | 0 72.1 MB nvidia
cuda-nvrtc-dev-11.8.89 | 0 16.1 MB nvidia
cuda-nvtx-11.8.86 | 0 43 KB nvidia
cuda-profiler-api-12.9.79 | 0 19 KB nvidia
cuda-runtime-11.8.0 | 0 1 KB nvidia
imath-3.1.12 | hbb528cf_0 157 KB conda-forge
libabseil-20250127.1 | cxx17_h4eb7d71_0 1.8 MB conda-forge
libcublas-11.11.3.6 | 0 33 KB nvidia
libcublas-dev-11.11.3.6 | 0 375.9 MB nvidia
libcufft-10.9.0.58 | 0 6 KB nvidia
libcufft-dev-10.9.0.58 | 0 144.6 MB nvidia
libcurand-dev-10.3.5.147 | 0 49.7 MB nvidia
libcusolver-11.4.1.48 | 0 29 KB nvidia
libcusolver-dev-11.4.1.48 | 0 94.1 MB nvidia
libcusparse-11.7.5.86 | 0 13 KB nvidia
libcusparse-dev-11.7.5.86 | 0 175.7 MB nvidia
libnpp-11.8.0.86 | 0 294 KB nvidia
libnpp-dev-11.8.0.86 | 0 143.2 MB nvidia
libnvjpeg-11.9.0.86 | 0 4 KB nvidia
libnvjpeg-dev-11.9.0.86 | 0 1.9 MB nvidia
libopencv-4.12.0 |qt6_py39h45bf879_600 32.6 MB conda-forge
libopenvino-2025.0.0 | hb1d9b14_3 3.3 MB conda-forge
libopenvino-auto-batch-plugin-2025.0.0| h04f32e0_3 99 KB conda-forge
libopenvino-auto-plugin-2025.0.0| h04f32e0_3 189 KB conda-forge
libopenvino-hetero-plugin-2025.0.0| hb61b842_3 157 KB conda-forge
libopenvino-intel-cpu-plugin-2025.0.0| hb1d9b14_3 8.3 MB conda-forge
libopenvino-intel-gpu-plugin-2025.0.0| hb1d9b14_3 7.7 MB conda-forge
libopenvino-ir-frontend-2025.0.0| hb61b842_3 156 KB conda-forge
libopenvino-onnx-frontend-2025.0.0| hf9c6bd6_3 1013 KB conda-forge
libopenvino-paddle-frontend-2025.0.0| hf9c6bd6_3 418 KB conda-forge
libopenvino-pytorch-frontend-2025.0.0| he0c23c2_3 677 KB conda-forge
libopenvino-tensorflow-frontend-2025.0.0| hd51e7bd_3 864 KB conda-forge
libopenvino-tensorflow-lite-frontend-2025.0.0| he0c23c2_3 329 KB conda-forge
libprotobuf-5.29.3 | hd33f5f0_2 6.7 MB conda-forge
libtorch-2.5.1 |cpu_mkl_hf54a72f_117 31.6 MB conda-forge
opencv-4.12.0 |qt6_py39hb5cec6c_600 27 KB conda-forge
openexr-3.3.5 | h4750f91_0 1.0 MB conda-forge
pthread-stubs-0.4 | h0e40799_1002 9 KB conda-forge
py-opencv-4.12.0 |qt6_py39h54bbc76_600 1.1 MB conda-forge
pytorch-2.5.1 |cpu_mkl_py39_hab059a2_117 20.8 MB conda-forge
pytorch-cuda-11.8 | h24eeafa_6 7 KB pytorch
pytorch-mutex-1.0 | cuda 3 KB pytorch
setuptools-75.8.2 | pyhff2d567_0 760 KB conda-forge
torchaudio-2.5.1 | py39_cu118 7.1 MB pytorch
torchvision-0.20.1 | py39_cu118 7.7 MB pytorch
------------------------------------------------------------
Total: 1.19 GB
The following NEW packages will be INSTALLED:
cuda-cccl nvidia/win-64::cuda-cccl-12.9.27-0
cuda-cccl_win-64 nvidia/win-64::cuda-cccl_win-64-12.9.27-0
cuda-cudart-dev nvidia/win-64::cuda-cudart-dev-11.8.89-0
cuda-libraries nvidia/win-64::cuda-libraries-11.8.0-0
cuda-libraries-dev nvidia/win-64::cuda-libraries-dev-11.8.0-0
cuda-nvrtc-dev nvidia/win-64::cuda-nvrtc-dev-11.8.89-0
cuda-nvtx nvidia/win-64::cuda-nvtx-11.8.86-0
cuda-profiler-api nvidia/win-64::cuda-profiler-api-12.9.79-0
cuda-runtime nvidia/win-64::cuda-runtime-11.8.0-0
lcms2 conda-forge/win-64::lcms2-2.17-hbcf6048_0
libcublas-dev nvidia/win-64::libcublas-dev-11.11.3.6-0
libcufft-dev nvidia/win-64::libcufft-dev-10.9.0.58-0
libcurand-dev nvidia/win-64::libcurand-dev-10.3.5.147-0
libcusolver-dev nvidia/win-64::libcusolver-dev-11.4.1.48-0
libcusparse-dev nvidia/win-64::libcusparse-dev-11.7.5.86-0
libgcc conda-forge/win-64::libgcc-15.2.0-h1383e82_7
libnpp nvidia/win-64::libnpp-11.8.0.86-0
libnpp-dev nvidia/win-64::libnpp-dev-11.8.0.86-0
libnvjpeg nvidia/win-64::libnvjpeg-11.9.0.86-0
libnvjpeg-dev nvidia/win-64::libnvjpeg-dev-11.9.0.86-0
libwebp conda-forge/win-64::libwebp-1.6.0-h4d5522a_0
libxcb conda-forge/win-64::libxcb-1.17.0-h0e4246c_0
openjpeg conda-forge/win-64::openjpeg-2.5.4-h24db6dd_0
pillow conda-forge/win-64::pillow-11.3.0-py39hbad85af_0
pthread-stubs conda-forge/win-64::pthread-stubs-0.4-h0e40799_1002
pytorch-cuda pytorch/win-64::pytorch-cuda-11.8-h24eeafa_6
pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cuda
torchaudio pytorch/win-64::torchaudio-2.5.1-py39_cu118
torchvision pytorch/win-64::torchvision-0.20.1-py39_cu118
xorg-libxau conda-forge/win-64::xorg-libxau-1.0.12-hba3369d_1
xorg-libxdmcp conda-forge/win-64::xorg-libxdmcp-1.1.5-hba3369d_1
The following packages will be REMOVED:
libmagma-2.9.0-hb6a17ea_3
The following packages will be SUPERSEDED by a higher-priority channel:
cuda-cudart conda-forge::cuda-cudart-12.9.79-he0c~ --> nvidia::cuda-cudart-11.8.89-0
cuda-cupti conda-forge::cuda-cupti-12.9.79-hac47~ --> nvidia::cuda-cupti-11.8.87-0
cuda-nvrtc conda-forge::cuda-nvrtc-12.9.86-hac47~ --> nvidia::cuda-nvrtc-11.8.89-0
libcublas conda-forge::libcublas-12.9.1.4-hac47~ --> nvidia::libcublas-11.11.3.6-0
libcufft conda-forge::libcufft-11.4.1.4-hac47a~ --> nvidia::libcufft-10.9.0.58-0
libcusolver conda-forge::libcusolver-11.7.5.82-ha~ --> nvidia::libcusolver-11.4.1.48-0
libcusparse conda-forge::libcusparse-12.5.10.65-h~ --> nvidia::libcusparse-11.7.5.86-0
The following packages will be DOWNGRADED:
imath 3.2.1-h1608b31_0 --> 3.1.12-hbb528cf_0
libabseil 20250512.1-cxx17_habfad5f_0 --> 20250127.1-cxx17_h4eb7d71_0
libopencv 4.12.0-qt6_py39hee57e69_602 --> 4.12.0-qt6_py39h45bf879_600
libopenvino 2025.2.0-hbf28c98_1 --> 2025.0.0-hb1d9b14_3
libopenvino-auto-~ 2025.2.0-hdd9a157_1 --> 2025.0.0-h04f32e0_3
libopenvino-auto-~ 2025.2.0-hdd9a157_1 --> 2025.0.0-h04f32e0_3
libopenvino-heter~ 2025.2.0-hc39e7c6_1 --> 2025.0.0-hb61b842_3
libopenvino-intel~ 2025.2.0-hbf28c98_1 --> 2025.0.0-hb1d9b14_3
libopenvino-intel~ 2025.2.0-hbf28c98_1 --> 2025.0.0-hb1d9b14_3
libopenvino-ir-fr~ 2025.2.0-hc39e7c6_1 --> 2025.0.0-hb61b842_3
libopenvino-onnx-~ 2025.2.0-hee3bb10_1 --> 2025.0.0-hf9c6bd6_3
libopenvino-paddl~ 2025.2.0-hee3bb10_1 --> 2025.0.0-hf9c6bd6_3
libopenvino-pytor~ 2025.2.0-hac47afa_1 --> 2025.0.0-he0c23c2_3
libopenvino-tenso~ 2025.2.0-h293fe96_1 --> 2025.0.0-hd51e7bd_3
libopenvino-tenso~ 2025.2.0-hac47afa_1 --> 2025.0.0-he0c23c2_3
libprotobuf 6.31.1-hdcda5b4_2 --> 5.29.3-hd33f5f0_2
libtorch 2.7.1-cuda128_mkl_h2cc4d28_304 --> 2.5.1-cpu_mkl_hf54a72f_117
opencv 4.12.0-qt6_py39h5bb9280_602 --> 4.12.0-qt6_py39hb5cec6c_600
openexr 3.3.5-hed76565_1 --> 3.3.5-h4750f91_0
py-opencv 4.12.0-qt6_py39h58a0e84_602 --> 4.12.0-qt6_py39h54bbc76_600
pytorch 2.7.1-cuda128_mkl_py39_hf237e59_304 --> 2.5.1-cpu_mkl_py39_hab059a2_117
setuptools 80.9.0-pyhff2d567_0 --> 75.8.2-pyhff2d567_0
Proceed ([y]/n)? y
done
(Resnet) C:\Users\wangs>nvcc --version
'nvcc' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
(Resnet) C:\Users\wangs>conda remove pytorch torchvision torchaudio pytorch-cuda libtorch "libopenvino*" -y
PackagesNotFoundError: The following packages are missing from the target environment:
- libopenvino*
(Resnet) C:\Users\wangs>conda clean --packages --tarballs -y
Will remove 199 (4.00 GB) tarball(s).
Will remove 167 (7.13 GB) package(s).
WARNING: cannot remove, file permissions: C:\Users\wangs\anaconda3\pkgs\pytorch-2.7.1-cuda128_mkl_py39_hf237e59_304
(Resnet) C:\Users\wangs>conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia --override-channels
Channels:
- pytorch
- nvidia
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: done
# All requested packages already installed.
(Resnet) C:\Users\wangs>conda list | findstr /I "torch cuda nvidia"
cuda-cccl 12.9.27 0 nvidia
cuda-cccl_win-64 12.9.27 0 nvidia
cuda-cudart 11.8.89 0 nvidia
cuda-cudart-dev 11.8.89 0 nvidia
cuda-cudart_win-64 12.9.79 he0c23c2_0 conda-forge
cuda-cupti 11.8.87 0 nvidia
cuda-libraries 11.8.0 0 nvidia
cuda-libraries-dev 11.8.0 0 nvidia
cuda-nvrtc 11.8.89 0 nvidia
cuda-nvrtc-dev 11.8.89 0 nvidia
cuda-nvtx 11.8.86 0 nvidia
cuda-profiler-api 12.9.79 0 nvidia
cuda-runtime 11.8.0 0 nvidia
cuda-version 12.9 h4f385c5_3 conda-forge
libcublas 11.11.3.6 0 nvidia
libcublas-dev 11.11.3.6 0 nvidia
libcufft 10.9.0.58 0 nvidia
libcufft-dev 10.9.0.58 0 nvidia
libcurand-dev 10.3.5.147 0 nvidia
libcusolver 11.4.1.48 0 nvidia
libcusolver-dev 11.4.1.48 0 nvidia
libcusparse 11.7.5.86 0 nvidia
libcusparse-dev 11.7.5.86 0 nvidia
libnpp 11.8.0.86 0 nvidia
libnpp-dev 11.8.0.86 0 nvidia
libnvjpeg 11.9.0.86 0 nvidia
libnvjpeg-dev 11.9.0.86 0 nvidia
libopenvino-pytorch-frontend 2025.0.0 he0c23c2_3 conda-forge
libtorch 2.5.1 cpu_mkl_hf54a72f_117 conda-forge
pytorch 2.5.1 cpu_mkl_py39_hab059a2_117 conda-forge
pytorch-cuda 11.8 h24eeafa_6 pytorch
pytorch-mutex 1.0 cuda pytorch
torchaudio 2.5.1 pypi_0 pypi
torchvision 0.20.1 pypi_0 pypi
(Resnet) C:\Users\wangs>conda remove pytorch torchvision torchaudio pytorch-cuda libtorch "libopenvino*" "cuda-cccl*" cuda-cccl cuda-cccl_win-64 cuda-cudart_win-64 cuda-profiler-api cuda-version -y
PackagesNotFoundError: The following packages are missing from the target environment:
- cuda-cccl*
(Resnet) C:\Users\wangs>conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia --override-channels
Channels:
- pytorch
- nvidia
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: done
# All requested packages already installed.
(Resnet) C:\Users\wangs>conda list | findstr /I "torch cuda nvidia"
cuda-cccl 12.9.27 0 nvidia
cuda-cccl_win-64 12.9.27 0 nvidia
cuda-cudart 11.8.89 0 nvidia
cuda-cudart-dev 11.8.89 0 nvidia
cuda-cudart_win-64 12.9.79 he0c23c2_0 conda-forge
cuda-cupti 11.8.87 0 nvidia
cuda-libraries 11.8.0 0 nvidia
cuda-libraries-dev 11.8.0 0 nvidia
cuda-nvrtc 11.8.89 0 nvidia
cuda-nvrtc-dev 11.8.89 0 nvidia
cuda-nvtx 11.8.86 0 nvidia
cuda-profiler-api 12.9.79 0 nvidia
cuda-runtime 11.8.0 0 nvidia
cuda-version 12.9 h4f385c5_3 conda-forge
libcublas 11.11.3.6 0 nvidia
libcublas-dev 11.11.3.6 0 nvidia
libcufft 10.9.0.58 0 nvidia
libcufft-dev 10.9.0.58 0 nvidia
libcurand-dev 10.3.5.147 0 nvidia
libcusolver 11.4.1.48 0 nvidia
libcusolver-dev 11.4.1.48 0 nvidia
libcusparse 11.7.5.86 0 nvidia
libcusparse-dev 11.7.5.86 0 nvidia
libnpp 11.8.0.86 0 nvidia
libnpp-dev 11.8.0.86 0 nvidia
libnvjpeg 11.9.0.86 0 nvidia
libnvjpeg-dev 11.9.0.86 0 nvidia
libopenvino-pytorch-frontend 2025.0.0 he0c23c2_3 conda-forge
libtorch 2.5.1 cpu_mkl_hf54a72f_117 conda-forge
pytorch 2.5.1 cpu_mkl_py39_hab059a2_117 conda-forge
pytorch-cuda 11.8 h24eeafa_6 pytorch
pytorch-mutex 1.0 cuda pytorch
torchaudio 2.5.1 pypi_0 pypi
torchvision 0.20.1 pypi_0 pypi
(Resnet) C:\Users\wangs>conda remove -y \
PackagesNotFoundError: The following packages are missing from the target environment:
- \
(Resnet) C:\Users\wangs> "pytorch" "libtorch" "pytorch-cuda" "pytorch-mutex" \
'"pytorch"' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
(Resnet) C:\Users\wangs> "libopenvino*" \
'"libopenvino*"' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
(Resnet) C:\Users\wangs> "cuda-cccl*" "cuda-cudart_win-64" "cuda-profiler-api" "cuda-version" \
'"cuda-cccl*"' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
(Resnet) C:\Users\wangs> conda remove -y \
PackagesNotFoundError: The following packages are missing from the target environment:
- \
(Resnet) C:\Users\wangs> "pytorch" "libtorch" "pytorch-cuda" "pytorch-mutex" \
'"pytorch"' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
(Resnet) C:\Users\wangs> "libopenvino*" \
'"libopenvino*"' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
(Resnet) C:\Users\wangs> "cuda-cccl*" "cuda-cudart_win-64" "cuda-profiler-api" "cuda-version" \
'"cuda-cccl*"' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
(Resnet) C:\Users\wangs>conda remove -y pytorch libtorch pytorch-cuda pytorch-mutex libopenvino-pytorch-frontend libopenvino libopenvino-auto-batch libopenvino-dev libopenvino-hetero-plugin libopenvino-ir-frontend libopenvino-onnx-frontend libopenvino-paddle-frontend libopenvino-pytorch-frontend libopenvino-tensorflow-frontend libopenvino-tensorflow-lite-frontend cuda-cccl cuda-cccl_win-64 cuda-cudart_win-64 cuda-profiler-api cuda-version
PackagesNotFoundError: The following packages are missing from the target environment:
- libopenvino-dev
- libopenvino-auto-batch
(Resnet) C:\Users\wangs>conda install -y pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia --override-channels
Channels:
- pytorch
- nvidia
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: done
# All requested packages already installed.
(Resnet) C:\Users\wangs>conda list | findstr /I "torch cuda nvidia openvino"
cuda-cccl 12.9.27 0 nvidia
cuda-cccl_win-64 12.9.27 0 nvidia
cuda-cudart 11.8.89 0 nvidia
cuda-cudart-dev 11.8.89 0 nvidia
cuda-cudart_win-64 12.9.79 he0c23c2_0 conda-forge
cuda-cupti 11.8.87 0 nvidia
cuda-libraries 11.8.0 0 nvidia
cuda-libraries-dev 11.8.0 0 nvidia
cuda-nvrtc 11.8.89 0 nvidia
cuda-nvrtc-dev 11.8.89 0 nvidia
cuda-nvtx 11.8.86 0 nvidia
cuda-profiler-api 12.9.79 0 nvidia
cuda-runtime 11.8.0 0 nvidia
cuda-version 12.9 h4f385c5_3 conda-forge
libcublas 11.11.3.6 0 nvidia
libcublas-dev 11.11.3.6 0 nvidia
libcufft 10.9.0.58 0 nvidia
libcufft-dev 10.9.0.58 0 nvidia
libcurand-dev 10.3.5.147 0 nvidia
libcusolver 11.4.1.48 0 nvidia
libcusolver-dev 11.4.1.48 0 nvidia
libcusparse 11.7.5.86 0 nvidia
libcusparse-dev 11.7.5.86 0 nvidia
libnpp 11.8.0.86 0 nvidia
libnpp-dev 11.8.0.86 0 nvidia
libnvjpeg 11.9.0.86 0 nvidia
libnvjpeg-dev 11.9.0.86 0 nvidia
libopenvino 2025.0.0 hb1d9b14_3 conda-forge
libopenvino-auto-batch-plugin 2025.0.0 h04f32e0_3 conda-forge
libopenvino-auto-plugin 2025.0.0 h04f32e0_3 conda-forge
libopenvino-hetero-plugin 2025.0.0 hb61b842_3 conda-forge
libopenvino-intel-cpu-plugin 2025.0.0 hb1d9b14_3 conda-forge
libopenvino-intel-gpu-plugin 2025.0.0 hb1d9b14_3 conda-forge
libopenvino-ir-frontend 2025.0.0 hb61b842_3 conda-forge
libopenvino-onnx-frontend 2025.0.0 hf9c6bd6_3 conda-forge
libopenvino-paddle-frontend 2025.0.0 hf9c6bd6_3 conda-forge
libopenvino-pytorch-frontend 2025.0.0 he0c23c2_3 conda-forge
libopenvino-tensorflow-frontend 2025.0.0 hd51e7bd_3 conda-forge
libopenvino-tensorflow-lite-frontend 2025.0.0 he0c23c2_3 conda-forge
libtorch 2.5.1 cpu_mkl_hf54a72f_117 conda-forge
pytorch 2.5.1 cpu_mkl_py39_hab059a2_117 conda-forge
pytorch-cuda 11.8 h24eeafa_6 pytorch
pytorch-mutex 1.0 cuda pytorch
torchaudio 2.5.1 pypi_0 pypi
torchvision 0.20.1 pypi_0 pypi
(Resnet) C:\Users\wangs>conda list | findstr /I "torch cuda nvidia openvino"
cuda-cccl 12.9.27 0 nvidia
cuda-cccl_win-64 12.9.27 0 nvidia
cuda-cudart 11.8.89 0 nvidia
cuda-cudart-dev 11.8.89 0 nvidia
cuda-cudart_win-64 12.9.79 he0c23c2_0 conda-forge
cuda-cupti 11.8.87 0 nvidia
cuda-libraries 11.8.0 0 nvidia
cuda-libraries-dev 11.8.0 0 nvidia
cuda-nvrtc 11.8.89 0 nvidia
cuda-nvrtc-dev 11.8.89 0 nvidia
cuda-nvtx 11.8.86 0 nvidia
cuda-profiler-api 12.9.79 0 nvidia
cuda-runtime 11.8.0 0 nvidia
cuda-version 12.9 h4f385c5_3 conda-forge
libcublas 11.11.3.6 0 nvidia
libcublas-dev 11.11.3.6 0 nvidia
libcufft 10.9.0.58 0 nvidia
libcufft-dev 10.9.0.58 0 nvidia
libcurand-dev 10.3.5.147 0 nvidia
libcusolver 11.4.1.48 0 nvidia
libcusolver-dev 11.4.1.48 0 nvidia
libcusparse 11.7.5.86 0 nvidia
libcusparse-dev 11.7.5.86 0 nvidia
libnpp 11.8.0.86 0 nvidia
libnpp-dev 11.8.0.86 0 nvidia
libnvjpeg 11.9.0.86 0 nvidia
libnvjpeg-dev 11.9.0.86 0 nvidia
libopenvino 2025.0.0 hb1d9b14_3 conda-forge
libopenvino-auto-batch-plugin 2025.0.0 h04f32e0_3 conda-forge
libopenvino-auto-plugin 2025.0.0 h04f32e0_3 conda-forge
libopenvino-hetero-plugin 2025.0.0 hb61b842_3 conda-forge
libopenvino-intel-cpu-plugin 2025.0.0 hb1d9b14_3 conda-forge
libopenvino-intel-gpu-plugin 2025.0.0 hb1d9b14_3 conda-forge
libopenvino-ir-frontend 2025.0.0 hb61b842_3 conda-forge
libopenvino-onnx-frontend 2025.0.0 hf9c6bd6_3 conda-forge
libopenvino-paddle-frontend 2025.0.0 hf9c6bd6_3 conda-forge
libopenvino-pytorch-frontend 2025.0.0 he0c23c2_3 conda-forge
libopenvino-tensorflow-frontend 2025.0.0 hd51e7bd_3 conda-forge
libopenvino-tensorflow-lite-frontend 2025.0.0 he0c23c2_3 conda-forge
libtorch 2.5.1 cpu_mkl_hf54a72f_117 conda-forge
pytorch 2.5.1 cpu_mkl_py39_hab059a2_117 conda-forge
pytorch-cuda 11.8 h24eeafa_6 pytorch
pytorch-mutex 1.0 cuda pytorch
torchaudio 2.5.1 pypi_0 pypi
torchvision 0.20.1 pypi_0 pypi
(Resnet) C:\Users\wangs>where python
C:\Users\wangs\anaconda3\envs\Resnet\python.exe
C:\Users\wangs\AppData\Local\Programs\Python\Python313\python.exe
C:\Users\wangs\AppData\Local\Microsoft\WindowsApps\python.exe
(Resnet) C:\Users\wangs>where pip
C:\Users\wangs\anaconda3\envs\Resnet\Scripts\pip.exe
C:\Users\wangs\AppData\Local\Programs\Python\Python313\Scripts\pip.exe
(Resnet) C:\Users\wangs>where torch
信息: 用提供的模式无法找到文件。
(Resnet) C:\Users\wangs>pip show torch
Name: torch
Version: 2.5.1
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org/
Author: PyTorch Team
Author-email: packages@pytorch.org
License: BSD-3-Clause
Location: c:\users\wangs\anaconda3\envs\resnet\lib\site-packages
Requires: filelock, fsspec, jinja2, networkx, sympy, typing-extensions
Required-by: monai, torchaudio, torchvision
(Resnet) C:\Users\wangs>python -m torch.utils.collect_env
Traceback (most recent call last):
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\runpy.py", line 188, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\runpy.py", line 111, in _get_module_details
__import__(pkg_name)
File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\__init__.py", line 367, in <module>
from torch._C import * # noqa: F403
ImportError: DLL load failed while importing _C: 找不到指定的程序。
博客内容仅给出了一个公式∇×H = ∂D∂D/∂t + J，未明确其具体信息技术领域相关含义及关键信息。
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