Collecting torch Obtaining dependency information for torch from https://files.pythonhosted.org/packages/13/85/6c1092d4b06c3db1ed23d4106488750917156af0b24ab0a2d9951830b0e9/torch-2.7.0-cp311-cp311-win_amd64.whl.metadata Downloading torch-2.7.0-cp311-cp311-win_amd64.whl.metadata (29 kB) Requirement already satisfied: filelock in d:\sss\python\lib\site-packages (from torch) (3.18.0) Requirement already satisfied: typing-extensions>=4.10.0 in d:\sss\python\lib\site-packages (from torch) (4.13.2) Requirement already satisfied: sympy>=1.13.3 in d:\sss\python\lib\site-packages (from torch) (1.14.0) Requirement already satisfied: networkx in d:\sss\python\lib\site-packages (from torch) (3.4.2) Requirement already satisfied: jinja2 in d:\sss\python\lib\site-packages (from torch) (3.1.6) Requirement already satisfied: fsspec in d:\sss\python\lib\site-packages (from torch) (2025.3.0) Requirement already satisfied: mpmath<1.4,>=1.1.0 in d:\sss\python\lib\site-packages (from sympy>=1.13.3->torch) (1.3.0) Requirement already satisfied: MarkupSafe>=2.0 in d:\sss\python\lib\site-packages (from jinja2->torch) (3.0.2) Downloading torch-2.7.0-cp311-cp311-win_amd64.whl (212.5 MB) 0.2/212.5 MB 8.5 kB/s eta 6:56:59 ERROR: Exception: Traceback (most recent call last): File "D:\sss\python\Lib\site-packages\pip\_vendor\urllib3\response.py", line 438, in _error_catcher yield File "D:\sss\python\Lib\site-packages\pip\_vendor\urllib3\response.py", line 561, in read data = self._fp_read(amt) if not fp_closed else b"" ^^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\site-packages\pip\_vendor\urllib3\response.py", line 527, in _fp_read return self._fp.read(amt) if amt is not None else self._fp.read() ^^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 90, in read data = self.__fp.read(amt) ^^^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\http\client.py", line 473, in read s = self.fp.read(amt) ^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\socket.py", line 706, in readinto return self._sock.recv_into(b) ^^^^^^^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\ssl.py", line 1315, in recv_into return self.read(nbytes, buffer) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\ssl.py", line 1167, in read return self._sslobj.read(len, buffer) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TimeoutError: The read operation timed out During handling of the above exception, another exception occurred: Traceback (most recent call last): File "D:\sss\python\Lib\site-packages\pip\_internal\cli\base_command.py", line 180, in exc_logging_wrapper status = run_func(*args) ^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\site-packages\pip\_internal\cli\req_command.py", line 248, in wrapper return func(self, options, args) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\site-packages\pip\_internal\commands\install.py", line 377, in run requirement_set = resolver.resolve( ^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py", line 161, in resolve self.factory.preparer.prepare_linked_requirements_more(reqs) File "D:\sss\python\Lib\site-packages\pip\_internal\operations\prepare.py", line 565, in prepare_linked_requirements_more self._complete_partial_requirements( File "D:\sss\python\Lib\site-packages\pip\_internal\operations\prepare.py", line 479, in _complete_partial_requirements for link, (filepath, _) in batch_download: File "D:\sss\python\Lib\site-packages\pip\_internal\network\download.py", line 183, in __call__ for chunk in chunks: File "D:\sss\python\Lib\site-packages\pip\_internal\cli\progress_bars.py", line 53, in _rich_progress_bar for chunk in iterable: File "D:\sss\python\Lib\site-packages\pip\_internal\network\utils.py", line 63, in response_chunks for chunk in response.raw.stream( File "D:\sss\python\Lib\site-packages\pip\_vendor\urllib3\response.py", line 622, in stream data = self.read(amt=amt, decode_content=decode_content) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\sss\python\Lib\site-packages\pip\_vendor\urllib3\response.py", line 560, in read with self._error_catcher(): File "D:\sss\python\Lib\contextlib.py", line 158, in __exit__ self.gen.throw(typ, value, traceback) File "D:\sss\python\Lib\site-packages\pip\_vendor\urllib3\response.py", line 443, in _error_catcher raise ReadTimeoutError(self._pool, None, "Read timed out.") pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. [notice] A new release of pip is available: 23.2.1 -> 25.1.1 [notice] To update, run: D:\sss\python\python.exe -m pip install --upgrade pip

时间: 2025-05-31 22:57:01 浏览: 60
### 解决 `pip install torch` 出现 `ReadTimeoutError` 的问题 当执行命令 `pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113` 时，如果遇到错误提示 `pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='download.pytorch.org', port=443): Read timed out.`[^2]，通常是因为网络连接不稳定或者目标服务器响应过慢。 以下是几种解决方案： #### 方法一：更换国内镜像源 通过指定国内的 Python 镜像站点来加速下载过程。常用的国内镜像有阿里云、清华大学 TUNA 和豆瓣等。例如： ```bash pip install torch torchvision torchaudio -i https://mirrors.aliyun.com/pypi/simple/ ``` 或者使用清华大学的镜像源： ```bash pip install torch torchvision torchaudio -i https://pypi.tuna.tsinghua.edu.cn/simple ``` 这种方法能够有效减少因国际网络延迟而导致的超时问题[^5]。 --- #### 方法二：增加超时时间 可以通过设置更大的超时参数 (`--timeout`) 来延长等待时间，从而避免因为短暂的网络波动而引发的超时错误。例如： ```bash pip install torch torchvision torchaudio --timeout 300 --extra-index-url https://download.pytorch.org/whl/cu113 ``` 这里将超时时间设为了 300 秒 (即 5 分钟)[^4]。 --- #### 方法三：手动下载并安装 `.whl` 文件 如果仍然无法成功安装，可以选择从官网或其他可信资源处手动下载对应的 `.whl` 文件后再进行本地安装。具体操作如下： 1. 前往 [PyTorch 官方页面](https://pytorch.org/get-started/previous-versions/) 或者其他可靠渠道找到适合当前系统的 `.whl` 文件链接； 2. 使用浏览器直接下载该文件到本地磁盘； 3. 执行以下命令完成安装： ```bash pip install /path/to/downloaded/file.whl ``` 这种方式适用于那些由于特殊原因始终无法在线正常工作的场景[^4]。 --- #### 方法四：升级或降级 PyTorch 版本 有时特定版本可能存在问题，尝试切换至稳定版可能会有所帮助。比如按照引用中的例子指定较低版本号来进行安装： ```bash pip install torch==1.5.0+cu101 torchvision==0.6.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html ``` 此方法特别针对某些硬件配置下兼容性不佳的情况作出调整[^3]。 --- ### 注意事项 无论采用哪种策略解决问题，在实际应用之前都应该确认所依赖库的具体需求以及自身计算平台的相关特性（如 CUDA 版本），以免引入新的冲突或异常状况。 ---
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Channels: - https://mirrors.bfsu.edu.cn/anaconda/cloud/pytorch - https://mirrors.ustc.edu.cn/anaconda/pkgs/free - https://mirrors.ustc.edu.cn/anaconda/pkgs/main - defaults Platform: win-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundError: The following packages are not available from current channels: - easydict Current channels: - https://mirrors.bfsu.edu.cn/anaconda/cloud/pytorch - https://mirrors.ustc.edu.cn/anaconda/pkgs/free - https://mirrors.ustc.edu.cn/anaconda/pkgs/main - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

好的，我现在要解决用户关于在Anaconda中安装easydict包的问题。用户提到在指定的channels里找不到这个包，需要添加合适的channel或者从其他来源安装。首先，我需要回忆一下Anaconda的包管理相关知识。...

done (Mob) PS C:\Users\23688> conda install -c conda-forge torch.cuda.amp Channels: - conda-forge - pytorch - msys2 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - torch.cuda.amp Current channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

嗯，用户问的是如何解决conda install torch.cuda.amp时包找不到的问题。首先，我需要确认用户的问题到底是什么。根据用户提供的引用，特别是引用[5]，里面提到ImportError: cannot import 'torch.cuda.amp'，这通常...

(model) C:\Users\LGM>conda install -c conda-forge ortools Channels: - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - defaults - pytorch Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - ortools Current channels: - https://conda.anaconda.org/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 - https://conda.anaconda.org/pytorch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

from ortools.linear_solver import pywraplp solver = pywraplp.Solver.CreateSolver('SCIP') print(solver.Version()) # 预期输出：'SCIP 8.0.3.0'（版本可能更新） --- ### **依赖冲突管理** 若必须通过 ...

Collecting package metadata (current_repodata.json): ...working... done Solving environment: ...working... unsuccessful initial attempt using frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... unsuccessful initial attempt using frozen solve. Retrying with flexible solve. PackagesNotFoundError: The following packages are not available from current channels: - bio Current channels: - https://conda.anaconda.org/conda-forge/win-64 - https://conda.anaconda.org/conda-forge/noarch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/noarch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch - https://repo.anaconda.com/pkgs/main/win-64 - https://repo.anaconda.com/pkgs/main/noarch - https://repo.anaconda.com/pkgs/r/win-64 - https://repo.anaconda.com/pkgs/r/noarch - https://repo.anaconda.com/pkgs/msys2/win-64 - https://repo.anaconda.com/pkgs/msys2/noarch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

好的，我现在需要帮助用户解决在Conda环境中找不到bio包的问题。用户提到当前渠道没有找到这个包，我需要先确认bio包的正确名称和可用渠道。 首先，我应该考虑常见的生物信息学包，比如bioconda中的包。...

conda create -n tese openjdk=="24" Channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda - conda-forge - bioconda - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - openjdk==24 Current channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda - https://conda.anaconda.org/conda-forge - https://conda.anaconda.org/bioconda - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

嗯，用户遇到了在Conda环境中安装特定版本OpenJDK的问题，显示PackagesNotFoundError。我需要先理解这个错误的原因。可能的情况是默认的Conda频道中没有OpenJDK=24这个版本，或者这个版本不存在于用户当前配置的频道...

(lunwen) C:\Users\29284>conda install pytorch torchvision torchaudio pytorch-cuda=12.6 -c pytorch -c nvidia Channels: - pytorch - nvidia - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - pytorch-cuda=12.6* Current channels: - https://conda.anaconda.org/pytorch - https://conda.anaconda.org/nvidia - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu126 --- ### 配置说明 | 步骤 | 关键点 | |--------------|----------------------------------...

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting snownlp ERROR: HTTP error 403 while getting https://pypi.tuna.tsinghua.edu.cn/packages/3d/b3/37567686662100d3bce62d3b0f2adec18ab4b9ff2b61abd7a61c39343c1d/snownlp-0.12.3.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/snownlp/) ERROR: Could not install requirement snownlp from https://pypi.tuna.tsinghua.edu.cn/packages/3d/b3/37567686662100d3bce62d3b0f2adec18ab4b9ff2b61abd7a61c39343c1d/snownlp-0.12.3.tar.gz because of HTTP error 403 Client Error: Forbidden for url: https://pypi.tuna.tsinghua.edu.cn/packages/3d/b3/37567686662100d3bce62d3b0f2adec18ab4b9ff2b61abd7a61c39343c1d/snownlp-0.12.3.tar.gz for URL https://pypi.tuna.tsinghua.edu.cn/packages/3d/b3/37567686662100d3bce62d3b0f2adec18ab4b9ff2b61abd7a61c39343c1d/snownlp-0.12.3.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/snownlp/) WARNING: There was an error checking the latest version of pip.

好的，我现在要解决用户在安装snownlp时遇到的HTTP 403错误，具体是使用清华大学的镜像源通过pip安装时出现的问题。...通常，403错误表示服务器理解请求，但拒绝执行，可能是因为权限问题、IP被禁止，或者镜像源暂时不...

Channels: - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - cudatoolkit=12.8* Current channels: - https://conda.anaconda.org/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

set CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8 --- ### 六、验证流程图 mermaid graph TD A[开始] --> B{是否必须用CUDA 12.8?} B -->|是| C[方案B或五] B -->|否| D[方案A]...

(D:\Xin\TorchEnv\torch0328) C:\Users\Administrator>conda install pytorch torchvision torchchaudio pytorch-cuda=11.8 -c nvidia -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/ Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. PackagesNotFoundError: The following packages are not available from current channels: - torchchaudio Current channels: - https://conda.anaconda.org/nvidia/win-64 - https://conda.anaconda.org/nvidia/noarch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch - https://repo.anaconda.com/pkgs/main/win-64 - https://repo.anaconda.com/pkgs/main/noarch - https://repo.anaconda.com/pkgs/r/win-64 - https://repo.anaconda.com/pkgs/r/noarch - https://repo.anaconda.com/pkgs/msys2/win-64 - https://repo.anaconda.com/pkgs/msys2/noarch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page. 在虚拟环境安装pytorch出错

同时，需要提醒用户注意虚拟环境的激活状态，以及安装后测试导入torch并检查torch.cuda.is_available()。 最后，生成相关问题，可能涉及其他安装问题、环境配置或版本兼容性等。</think>### 分步解答 #### 1. 确认...

(base) C:\Users\86153>conda activate zj (zj) C:\Users\86153>conda install tensorflow-gpu=2.10.0 Channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - tensorflow-gpu=2.10.0* Current channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page. (zj) C:\Users\86153>conda install tensorflow=2.17.0 Channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - tensorflow=2.17.0* Current channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

好的，我现在要解决用户在使用conda安装特定版本的TensorFlow时遇到的问题。首先，用户尝试安装tensorflow-gpu=2.10.0和tensorflow=2.17.0都失败了，提示包不存在于当前渠道。我需要分析可能的原因，并给出可行的...

(model) C:\Users\LGM>conda install -c conda-forge coin-or-cbc coin-or-clp coin-or-tools Channels: - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - 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/msys2 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mro - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.ustc.edu.cn/anaconda/pkgs/free - https://mirrors.ustc.edu.cn/anaconda/pkgs/main - https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge - https://mirrors.ustc.edu.cn/anaconda/cloud/msys2 - https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda - https://mirrors.ustc.edu.cn/anaconda/cloud/menpo - defaults - pytorch Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: | warning libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE \

用户提供的输出显示在解决环境时出现了libmamba的警告，提示“Added empty dependency for problem type SOLVER_RULE_UPDATE”。这可能是因为依赖关系冲突，导致conda无法正常解析所有包的版本。此外，用户可能在...

(swin) C:\Users\CD>pip install torch==1.5.0 torchvision==0.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple ERROR: Could not find a version that satisfies the requirement torch==1.5.0 (from versions: 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2) ERROR: No matching distribution found for torch==1.5.0 (swin) C:\Users\CD>conda install pytorch==1.5.0 torchvision==0.6.0 -c pytorch Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. PackagesNotFoundError: The following packages are not available from current channels: - torchvision==0.6.0 Current channels: - https://conda.anaconda.org/pytorch/win-64 - https://conda.anaconda.org/pytorch/noarch - https://repo.anaconda.com/pkgs/main/win-64 - https://repo.anaconda.com/pkgs/main/noarch - https://repo.anaconda.com/pkgs/r/win-64 - https://repo.anaconda.com/pkgs/r/noarch - https://repo.anaconda.com/pkgs/msys2/win-64 - https://repo.anaconda.com/pkgs/msys2/noarch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

pip install torch==1.5.0 torchvision==0.6.0 -f https://download.pytorch.org/whl/torch_stable.html 2. **永久配置镜像源**： bash pip config set global.index-url ...

Channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - defaults Platform: win-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed PackagesNotFoundError: The following packages are not available from current channels: - absl Current channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - defaults To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

好的，我现在需要解决用户的问题：在Anaconda中添加包含absl包的频道，或者从其他来源安装该包，特别是在win-64平台下，同时用户还提到了PyTorch相关的配置。首先，我需要回忆一下Anaconda中管理频道的常用方法，...

C:\Users\LENOVO>conda install pytorch==2.7.1 torchvision==0.18.1 torchaudio==2.7.1 pytorch-cuda=11.8 -c pytorch -c nvidia Retrieving notices: done Channels: - pytorch - nvidia - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - pytorch==2.7.1 - torchaudio==2.7.1 Current channels: - https://conda.anaconda.org/pytorch - https://conda.anaconda.org/nvidia - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

1. **版本名称不匹配**：Conda 中 PyTorch 的包名是 pytorch 而非 torch，但您使用的 pytorch==2.7.1 写法正确 2. **频道更新延迟**：清华镜像可能尚未同步最新版本（PyTorch 2.7.1 于2024年7月发布） 3. **...

(base) C:\Users\dell>conda install pyswarm Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. PackagesNotFoundError: The following packages are not available from current channels: - pyswarm Current channels: - https://conda.anaconda.org/conda-forge/win-64 - https://conda.anaconda.org/conda-forge/noarch - https://repo.anaconda.com/pkgs/main/win-64 - https://repo.anaconda.com/pkgs/main/noarch - https://repo.anaconda.com/pkgs/r/win-64 - https://repo.anaconda.com/pkgs/r/noarch - https://repo.anaconda.com/pkgs/msys2/win-64 - https://repo.anaconda.com/pkgs/msys2/noarch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

根据错误信息，pyswarm不在当前的conda channels中，你可以尝试到https://anaconda.org上搜索是否有提供pyswarm的其他channels。或者你也可以考虑使用pip来安装pyswarm，命令为：pip install pyswarm。

C:\Users\f410>conda create -n pytorch python=3.9 Channels: - https://mirrors.ustc.edu.cn/anaconda/cloud/menpo - https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda - https://mirrors.ustc.edu.cn/anaconda/cloud/msys2 - https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge - https://mirrors.ustc.edu.cn/anaconda/pkgs/main - https://mirrors.ustc.edu.cn/anaconda/pkgs/free - https://mirrors.aliyun.com/anaconda/pkgs/main - https://mirrors.aliyun.com/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults Platform: win-64 Collecting package metadata (repodata.json): failed NoWritablePkgsDirError: No writeable pkgs directories configured. - D:\anaconda\pkgs

### 解决 Conda 创建 PyTorch 环境时出现的 NoWritablePkgsDirError 错误 当在 Windows 平台上尝试创建新的 Conda 虚拟环境并安装 PyTorch 时，如果 Anaconda 的默认包存储路径不可写入，则会触发 ...
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