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PyTorch与TensorFlow桥梁库pytorch_to_returnn发布新版本

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python
pytorch
人工智能
深度学习
机器学习
131KB | 更新于2024-10-26 | 199 浏览量 | 0 下载量 举报 收藏
download 限时特惠：#14.90
这个库是基于Python语言开发的，提供了将PyTorch模型转换为RETurnn模型的功能。RETurnn是一种基于TensorFlow的神经网络引擎，它支持高性能的深度学习模型训练和推理。因此，pytorch_to_returnn库的推出旨在解决PyTorch和RETurnn模型之间的兼容性问题，使得用户可以更方便地在两种框架之间转换模型。 从标题中我们可以了解到该资源的以下知识点： 1. Python库：这意味着该资源是一个Python编程语言相关的软件包，通常包含一组可以导入和使用的模块和函数。 2. PyTorch：这是一个开源的机器学习库，基于Python，主要用于深度学习和自然语言处理等任务。PyTorch以其动态计算图和易用性而受到开发者的青睐。 3. RETurnn：全称为RASR's TensorFlow Extended Network Unification Runtime，这是一个基于TensorFlow框架扩展的深度学习网络引擎，主要由DFKI（德国人工智能研究中心）的语音识别部门开发。 4. 日期和版本号（1.***.93858）：这表明资源包具有特定的版本号和更新时间，版本号为1.***，更新时间为2022年2月4日，序号为93858，这有助于用户追溯资源的历史版本和修复情况。 从描述中我们可以提取到以下信息： 1. 资源分类明确为Python库，这告诉用户该资源主要是为了Python语言所设计，可能不是跨语言使用。 2. 所属语言是Python，这是资源开发的语言基础，意味着用户需要具备一定的Python编程知识才能有效地使用这个资源。 3. 安装方法提供了博客链接，用户需要参考链接中的步骤来安装和配置该库。这种方法可以是通过pip安装、源码安装或者其他特定方式。 从标签中我们可以得知： 1. Python：标签重复强调了资源是与Python语言相关。 2. PyTorch：再次确认了资源与PyTorch库的紧密相关性。 3. 人工智能、深度学习和机器学习：这三个标签共同指向了资源的应用领域。它们表明这个库主要服务于构建和部署智能算法，尤其是那些涉及数据深度分析和模式识别的算法。 压缩包子文件的文件名称列表： 文件名为pytorch_to_returnn-1.***.93858，这是一个标准的软件包命名方式，其中包含了库的名称和版本信息，而缺少了文件扩展名.tar.gz。通常，在Linux和macOS系统中，这种文件是通过tar命令打包并使用gzip进行压缩的。当用户下载到这个文件后，需要使用tar命令解压这个文件，然后根据提供的安装说明继续进行安装步骤。 综上所述，pytorch_to_returnn-1.***.93858.tar.gz是一个针对人工智能和深度学习领域开发的Python库，它允许用户在PyTorch和RETurnn两种框架之间转换模型，使得开发者可以在不同的框架下利用已有的模型资产，同时享受到两种框架各自的优势。安装和使用该库可能需要一定的Python编程经验，且应当注意参考官方提供的安装指南进行操作。"

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(li) lenovo@lenovo-ThinkStation-P920:/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan$ pip install -v --no-cache-dir --force-reinstall . 2>&1 | tee build.log Using pip 25.1 from /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/pip (python 3.10) Looking in indexes: https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple Processing /media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan Preparing metadata (setup.py): started Running command python setup.py egg_info A module that was compiled using NumPy 1.x cannot be run in NumPy 2.2.6 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. If you are a user of the module, the easiest solution will be to downgrade to 'numpy<2' or try to upgrade the affected module. We expect that some modules will need time to support NumPy 2. Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 35, in <module> File "/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/setup.py", line 17, in <module> import torch File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/__init__.py", line 1471, in <module> from .functional import * # noqa: F403 File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/functional.py", line 9, in <module> import torch.nn.functional as F File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/__init__.py", line 1, in <module> from .modules import * # noqa: F403 File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/__init__.py", line 35, in <module> from .transformer import TransformerEncoder, TransformerDecoder, \ File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/transformer.py", line 20, in <module> device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), torch.__version__ = 2.2.0+cu118 CUDA_HOME = /home/lenovo/anaconda3/envs/li CUDA version: 11.8 /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. !! ******************************************************************************** Please consider removing the following classifiers in favor of a SPDX license expression: License :: OSI Approved :: BSD License See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! self._finalize_license_expression() running egg_info creating /tmp/pip-pip-egg-info-w2djvsss/selective_scan.egg-info writing /tmp/pip-pip-egg-info-w2djvsss/selective_scan.egg-info/PKG-INFO writing dependency_links to /tmp/pip-pip-egg-info-w2djvsss/selective_scan.egg-info/dependency_links.txt writing requirements to /tmp/pip-pip-egg-info-w2djvsss/selective_scan.egg-info/requires.txt writing top-level names to /tmp/pip-pip-egg-info-w2djvsss/selective_scan.egg-info/top_level.txt writing manifest file '/tmp/pip-pip-egg-info-w2djvsss/selective_scan.egg-info/SOURCES.txt' reading manifest file '/tmp/pip-pip-egg-info-w2djvsss/selective_scan.egg-info/SOURCES.txt' writing manifest file '/tmp/pip-pip-egg-info-w2djvsss/selective_scan.egg-info/SOURCES.txt' Preparing metadata (setup.py): finished with status 'done' Collecting torch (from selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/0a/7c/0a5b3aee977596459ec45be2220370fde8e017f651fecc40522fd478cb1e/torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.1 MB/s eta 0:00:00 Collecting packaging (from selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl (66 kB) Collecting ninja (from selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/eb/7a/455d2877fe6cf99886849c7f9755d897df32eaf3a0fba47b56e615f880f7/ninja-1.11.1.4-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (422 kB) Collecting einops (from selective_scan==0.0.2) Downloading 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https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/networkx/) (requires-python:>=3.11) Link requires a different Python (3.10.18 not in: '>=3.11'): https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/3f/a1/46c1b6e202e3109d2a035b21a7e5534c5bb233ee30752d7f16a0bd4c3989/networkx-3.5rc0-py3-none-any.whl (from https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/networkx/) (requires-python:>=3.11) Link requires a different Python (3.10.18 not in: '>=3.11'): https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/90/7e/0319606a20ced20730806b9f7fe91d8a92f7da63d76a5c388f87d3f7d294/networkx-3.5rc0.tar.gz (from https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple/networkx/) (requires-python:>=3.11) Collecting networkx (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/b9/54/dd730b32ea14ea797530a4479b2ed46a6fb250f682a9cfb997e968bf0261/networkx-3.4.2-py3-none-any.whl (1.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 883.3 kB/s eta 0:00:00 Collecting jinja2 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl (134 kB) Collecting fsspec (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/bb/61/78c7b3851add1481b048b5fdc29067397a1784e2910592bc81bb3f608635/fsspec-2025.5.1-py3-none-any.whl (199 kB) Collecting nvidia-cuda-nvrtc-cu12==12.6.77 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/75/2e/46030320b5a80661e88039f59060d1790298b4718944a65a7f2aeda3d9e9/nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 1.1 MB/s eta 0:00:00 Collecting nvidia-cuda-runtime-cu12==12.6.77 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/e1/23/e717c5ac26d26cf39a27fbc076240fad2e3b817e5889d671b67f4f9f49c5/nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 kB 1.7 MB/s eta 0:00:00 Collecting nvidia-cuda-cupti-cu12==12.6.80 (from torch->selective_scan==0.0.2) Downloading 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https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/06/1e/b8b7c2f4099a37b96af5c9bb158632ea9e5d9d27d7391d7eb8fc45236674/nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 1.4 MB/s eta 0:00:00 Collecting nvidia-cusparselt-cu12==0.6.3 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/3b/9a/72ef35b399b0e183bc2e8f6f558036922d453c4d8237dab26c666a04244b/nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 887.6 kB/s eta 0:00:00 Collecting nvidia-nccl-cu12==2.26.2 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/67/ca/f42388aed0fddd64ade7493dbba36e1f534d4e6fdbdd355c6a90030ae028/nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 1.1 MB/s eta 0:00:00 Collecting nvidia-nvtx-cu12==12.6.77 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/56/9a/fff8376f8e3d084cd1530e1ef7b879bb7d6d265620c95c1b322725c694f4/nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) Collecting nvidia-nvjitlink-cu12==12.6.85 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/9d/d7/c5383e47c7e9bf1c99d5bd2a8c935af2b6d705ad831a7ec5c97db4d82f4f/nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 1.9 MB/s eta 0:00:00 Collecting nvidia-cufile-cu12==1.11.1.6 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/b2/66/cc9876340ac68ae71b15c743ddb13f8b30d5244af344ec8322b449e35426/nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 1.9 MB/s eta 0:00:00 Collecting triton==3.3.1 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/8d/a9/549e51e9b1b2c9b854fd761a1d23df0ba2fbc60bd0c13b489ffa518cfcb7/triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 758.4 kB/s eta 0:00:00 Collecting setuptools>=40.8.0 (from triton==3.3.1->torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl (1.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 872.9 kB/s eta 0:00:00 Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl (536 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 kB 919.5 kB/s eta 0:00:00 Collecting MarkupSafe>=2.0 (from jinja2->torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/22/35/137da042dfb4720b638d2937c38a9c2df83fe32d20e8c8f3185dbfef05f7/MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) Building wheels for collected packages: selective_scan DEPRECATION: Building 'selective_scan' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'selective_scan'. Discussion can be found at https://github.com/pypa/pip/issues/6334 Building wheel for selective_scan (setup.py): started Running command python setup.py bdist_wheel A module that was compiled using NumPy 1.x cannot be run in NumPy 2.2.6 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. If you are a user of the module, the easiest solution will be to downgrade to 'numpy<2' or try to upgrade the affected module. We expect that some modules will need time to support NumPy 2. Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 35, in <module> File "/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/setup.py", line 17, in <module> import torch File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/__init__.py", line 1471, in <module> from .functional import * # noqa: F403 File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/functional.py", line 9, in <module> import torch.nn.functional as F File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/__init__.py", line 1, in <module> from .modules import * # noqa: F403 File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/__init__.py", line 35, in <module> from .transformer import TransformerEncoder, TransformerDecoder, \ File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/transformer.py", line 20, in <module> device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), torch.__version__ = 2.2.0+cu118 CUDA_HOME = /home/lenovo/anaconda3/envs/li CUDA version: 11.8 /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. !! ******************************************************************************** Please consider removing the following classifiers in favor of a SPDX license expression: License :: OSI Approved :: BSD License See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! self._finalize_license_expression() running bdist_wheel running build running build_ext /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/utils/cpp_extension.py:425: UserWarning: There are no g++ version bounds defined for CUDA version 11.8 warnings.warn(f'There are no {compiler_name} version bounds defined for CUDA version {cuda_str_version}') building 'selective_scan_cuda_core' extension creating /media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus Emitting ninja build file /media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/build.ninja... Compiling objects... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) [1/3] c++ -MMD -MF '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan.o'.d -pthread -B /home/lenovo/anaconda3/envs/li/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /home/lenovo/anaconda3/envs/li/include -fPIC -O2 -isystem /home/lenovo/anaconda3/envs/li/include -fPIC '-I/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan' -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/TH -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/THC -I/home/lenovo/anaconda3/envs/li/include -I/home/lenovo/anaconda3/envs/li/include/python3.10 -c -c '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan/cus/selective_scan.cpp' -o '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan.o' -O3 -std=c++17 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=selective_scan_cuda_core -D_GLIBCXX_USE_CXX11_ABI=0 FAILED: /media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan.o c++ -MMD -MF '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan.o'.d -pthread -B /home/lenovo/anaconda3/envs/li/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /home/lenovo/anaconda3/envs/li/include -fPIC -O2 -isystem /home/lenovo/anaconda3/envs/li/include -fPIC '-I/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan' -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/TH -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/THC -I/home/lenovo/anaconda3/envs/li/include -I/home/lenovo/anaconda3/envs/li/include/python3.10 -c -c '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan/cus/selective_scan.cpp' -o '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan.o' -O3 -std=c++17 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=selective_scan_cuda_core -D_GLIBCXX_USE_CXX11_ABI=0 In file included from /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAContext.h:3, from /media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan/cus/selective_scan.cpp:5: /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/ATen/cuda/CUDAContextLight.h:6:10: fatal error: cuda_runtime_api.h: 没有那个文件或目录 6 | #include <cuda_runtime_api.h> | ^~~~~~~~~~~~~~~~~~~~ compilation terminated. [2/3] /home/lenovo/anaconda3/envs/li/bin/nvcc --generate-dependencies-with-compile --dependency-output '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_fwd.o'.d '-I/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan' -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/TH -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/THC -I/home/lenovo/anaconda3/envs/li/include -I/home/lenovo/anaconda3/envs/li/include/python3.10 -c -c '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan/cus/selective_scan_core_fwd.cu' -o '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_fwd.o' -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -std=c++17 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_BFLOAT16_OPERATORS__ -U__CUDA_NO_BFLOAT16_CONVERSIONS__ -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ --expt-relaxed-constexpr --expt-extended-lambda --use_fast_math --ptxas-options=-v -lineinfo -arch=sm_86 --threads 4 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=selective_scan_cuda_core -D_GLIBCXX_USE_CXX11_ABI=0 FAILED: /media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_fwd.o /home/lenovo/anaconda3/envs/li/bin/nvcc --generate-dependencies-with-compile --dependency-output '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_fwd.o'.d '-I/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan' -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/TH -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/THC -I/home/lenovo/anaconda3/envs/li/include -I/home/lenovo/anaconda3/envs/li/include/python3.10 -c -c '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan/cus/selective_scan_core_fwd.cu' -o '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_fwd.o' -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -std=c++17 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_BFLOAT16_OPERATORS__ -U__CUDA_NO_BFLOAT16_CONVERSIONS__ -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ --expt-relaxed-constexpr --expt-extended-lambda --use_fast_math --ptxas-options=-v -lineinfo -arch=sm_86 --threads 4 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=selective_scan_cuda_core -D_GLIBCXX_USE_CXX11_ABI=0 <command-line>: fatal error: cuda_runtime.h: 没有那个文件或目录 compilation terminated. <command-line>: fatal error: cuda_runtime.h: 没有那个文件或目录 compilation terminated. fatal : Could not open input file /tmp/tmpxft_00005756_00000000-7_selective_scan_core_fwd.cpp1.ii [3/3] /home/lenovo/anaconda3/envs/li/bin/nvcc --generate-dependencies-with-compile --dependency-output '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_bwd.o'.d '-I/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan' -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/TH -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/THC -I/home/lenovo/anaconda3/envs/li/include -I/home/lenovo/anaconda3/envs/li/include/python3.10 -c -c '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan/cus/selective_scan_core_bwd.cu' -o '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_bwd.o' -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -std=c++17 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_BFLOAT16_OPERATORS__ -U__CUDA_NO_BFLOAT16_CONVERSIONS__ -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ --expt-relaxed-constexpr --expt-extended-lambda --use_fast_math --ptxas-options=-v -lineinfo -arch=sm_86 --threads 4 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=selective_scan_cuda_core -D_GLIBCXX_USE_CXX11_ABI=0 FAILED: /media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_bwd.o /home/lenovo/anaconda3/envs/li/bin/nvcc --generate-dependencies-with-compile --dependency-output '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_bwd.o'.d '-I/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan' -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/TH -I/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/include/THC -I/home/lenovo/anaconda3/envs/li/include -I/home/lenovo/anaconda3/envs/li/include/python3.10 -c -c '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/csrc/selective_scan/cus/selective_scan_core_bwd.cu' -o '/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/build/temp.linux-x86_64-cpython-310/csrc/selective_scan/cus/selective_scan_core_bwd.o' -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O3 -std=c++17 -U__CUDA_NO_HALF_OPERATORS__ -U__CUDA_NO_HALF_CONVERSIONS__ -U__CUDA_NO_BFLOAT16_OPERATORS__ -U__CUDA_NO_BFLOAT16_CONVERSIONS__ -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ --expt-relaxed-constexpr --expt-extended-lambda --use_fast_math --ptxas-options=-v -lineinfo -arch=sm_86 --threads 4 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=selective_scan_cuda_core -D_GLIBCXX_USE_CXX11_ABI=0 <command-line>: fatal error: cuda_runtime.h: 没有那个文件或目录 compilation terminated. <command-line>: fatal error: cuda_runtime.h: 没有那个文件或目录 compilation terminated. fatal : Could not open input file /tmp/tmpxft_00005755_00000000-7_selective_scan_core_bwd.cpp1.ii ninja: build stopped: subcommand failed. Traceback (most recent call last): File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 2096, in _run_ninja_build subprocess.run( File "/home/lenovo/anaconda3/envs/li/lib/python3.10/subprocess.py", line 526, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 35, in <module> File "/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/setup.py", line 146, in <module> setup( File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/__init__.py", line 117, in setup return distutils.core.setup(**attrs) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/core.py", line 186, in setup return run_commands(dist) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/core.py", line 202, in run_commands dist.run_commands() File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 1002, in run_commands self.run_command(cmd) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/dist.py", line 1104, in run_command super().run_command(command) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command cmd_obj.run() File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/command/bdist_wheel.py", line 370, in run self.run_command("build") File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/cmd.py", line 357, in run_command self.distribution.run_command(command) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/dist.py", line 1104, in run_command super().run_command(command) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command cmd_obj.run() File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/command/build.py", line 135, in run self.run_command(cmd_name) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/cmd.py", line 357, in run_command self.distribution.run_command(command) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/dist.py", line 1104, in run_command super().run_command(command) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command cmd_obj.run() File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/command/build_ext.py", line 99, in run _build_ext.run(self) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 368, in run self.build_extensions() File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 871, in build_extensions build_ext.build_extensions(self) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 484, in build_extensions self._build_extensions_serial() File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 510, in _build_extensions_serial self.build_extension(ext) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/command/build_ext.py", line 264, in build_extension _build_ext.build_extension(self, ext) File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/_distutils/command/build_ext.py", line 565, in build_extension objects = self.compiler.compile( File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 684, in unix_wrap_ninja_compile _write_ninja_file_and_compile_objects( File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1774, in _write_ninja_file_and_compile_objects _run_ninja_build( File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 2112, in _run_ninja_build raise RuntimeError(message) from e RuntimeError: Error compiling objects for extension error: subprocess-exited-with-error × python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. full command: /home/lenovo/anaconda3/envs/li/bin/python3.10 -u -c ' exec(compile('"'"''"'"''"'"' # This is <pip-setuptools-caller> -- a caller that pip uses to run setup.py # # - It imports setuptools before invoking setup.py, to enable projects that directly # import from `distutils.core` to work with newer packaging standards. # - It provides a clear error message when setuptools is not installed. # - It sets `sys.argv[0]` to the underlying `setup.py`, when invoking `setup.py` so # setuptools doesn'"'"'t think the script is `-c`. This avoids the following warning: # manifest_maker: standard file '"'"'-c'"'"' not found". # - It generates a shim setup.py, for handling setup.cfg-only projects. import os, sys, tokenize, traceback try: import setuptools except ImportError: print( "ERROR: Can not execute `setup.py` since setuptools failed to import in " "the build environment with exception:", file=sys.stderr, ) traceback.print_exc() sys.exit(1) __file__ = %r sys.argv[0] = __file__ if os.path.exists(__file__): filename = __file__ with tokenize.open(__file__) as f: setup_py_code = f.read() else: filename = "<auto-generated setuptools caller>" setup_py_code = "from setuptools import setup; setup()" exec(compile(setup_py_code, filename, "exec")) '"'"''"'"''"'"' % ('"'"'/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/setup.py'"'"',), "<pip-setuptools-caller>", "exec"))' bdist_wheel -d /tmp/pip-wheel-fm2tmb40 cwd: /media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/ Building wheel for selective_scan (setup.py): finished with status 'error' ERROR: Failed building wheel for selective_scan Running setup.py clean for selective_scan Running command python setup.py clean A module that was compiled using NumPy 1.x cannot be run in NumPy 2.2.6 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. If you are a user of the module, the easiest solution will be to downgrade to 'numpy<2' or try to upgrade the affected module. We expect that some modules will need time to support NumPy 2. Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 35, in <module> File "/media/lenovo/PHILIPS/Mamba_20250409_ torch22_cuda118/VMamba-main/kernels/selective_scan/setup.py", line 17, in <module> import torch File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/__init__.py", line 1471, in <module> from .functional import * # noqa: F403 File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/functional.py", line 9, in <module> import torch.nn.functional as F File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/__init__.py", line 1, in <module> from .modules import * # noqa: F403 File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/__init__.py", line 35, in <module> from .transformer import TransformerEncoder, TransformerDecoder, \ File "/home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/transformer.py", line 20, in <module> device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), torch.__version__ = 2.2.0+cu118 CUDA_HOME = /home/lenovo/anaconda3/envs/li CUDA version: 11.8 /home/lenovo/anaconda3/envs/li/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. !! ******************************************************************************** Please consider removing the following classifiers in favor of a SPDX license expression: License :: OSI Approved :: BSD License See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! self._finalize_license_expression() running clean removing 'build/temp.linux-x86_64-cpython-310' (and everything under it) 'build/lib.linux-x86_64-cpython-310' does not exist -- can't clean it 'build/bdist.linux-x86_64' does not exist -- can't clean it 'build/scripts-3.10' does not exist -- can't clean it removing 'build' Failed to build selective_scan ERROR: Failed to build installable wheels for some pyproject.toml based projects (selective_scan)

因此，我们按照以下步骤解决：###步骤1：创建并激活Conda环境（确保Python版本为3.10）```bashconda create-nmamba_env python=3.10.13conda activatemamba_env``` ###步骤2：安装匹配的CUDA工具包和PyTorch```...
filetype

/content Mounted at /content/drive env: PYTHONDONTWRITEBYTECODE=1 env: TF_CPP_MIN_LOG_LEVEL=1 41 packages can be upgraded. Run 'apt list --upgradable' to see them. W: Skipping acquire of configured file 'main/source/Sources' as repository 'https://r2u.stat.illinois.edu/ubuntu jammy InRelease' does not seem to provide it (sources.list entry misspelt?) --2025-07-10 10:19:00-- https://github.com/camenduru/gperftools/releases/download/v1.0/libtcmalloc_minimal.so.4 Resolving github.com (github.com)... 140.82.113.4 Connecting to github.com (github.com)|140.82.113.4|:443... connected. HTTP request sent, awaiting response... 302 Found Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/669786276/620e2e64-be9f-4599-904f-18ee3811e159?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250710%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250710T101901Z&X-Amz-Expires=1800&X-Amz-Signature=b5c26ca3d158bb5b88d2b09125b067e065003244102eeb42a1d86a5fc1b6c62e&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Dlibtcmalloc_minimal.so.4&response-content-type=application%2Foctet-stream [following] --2025-07-10 10:19:01-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/669786276/620e2e64-be9f-4599-904f-18ee3811e159?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20250710%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250710T101901Z&X-Amz-Expires=1800&X-Amz-Signature=b5c26ca3d158bb5b88d2b09125b067e065003244102eeb42a1d86a5fc1b6c62e&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Dlibtcmalloc_minimal.so.4&response-content-type=application%2Foctet-stream Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ... Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 373960 (365K) [application/octet-stream] Saving to: ‘/content/libtcmalloc_minimal.so.4’ /content/libtcmallo 100%[===================>] 365.20K --.-KB/s in 0.02s 2025-07-10 10:19:01 (15.2 MB/s) - ‘/content/libtcmalloc_minimal.so.4’ saved [373960/373960] env: LD_PRELOAD=/content/libtcmalloc_minimal.so.4 libcairo2-dev is already the newest version (1.16.0-5ubuntu2). python3-dev is already the newest version (3.10.6-1~22.04.1). python3-dev set to manually installed. The following packages were automatically installed and are no longer required: libbz2-dev libpkgconf3 libreadline-dev Use 'apt autoremove' to remove them. The following packages will be REMOVED: pkgconf r-base-dev The following NEW packages will be installed: aria2 libaria2-0 libc-ares2 pkg-config 0 upgraded, 4 newly installed, 2 to remove and 41 not upgraded. Need to get 1,561 kB of archives. After this operation, 5,430 kB of additional disk space will be used. (Reading database ... 126281 files and directories currently installed.) Removing r-base-dev (4.5.1-1.2204.0) ... dpkg: pkgconf: dependency problems, but removing anyway as you requested: libsndfile1-dev:amd64 depends on pkg-config; however: Package pkg-config is not installed. Package pkgconf which provides pkg-config is to be removed. libopencv-dev depends on pkg-config; however: Package pkg-config is not installed. Package pkgconf which provides pkg-config is to be removed. libmkl-dev:amd64 depends on pkg-config; however: Package pkg-config is not installed. Package pkgconf which provides pkg-config is to be removed. libjack-dev depends on pkg-config; however: Package pkg-config is not installed. Package pkgconf which provides pkg-config is to be removed. libgphoto2-dev:amd64 depends on pkg-config; however: Package pkg-config is not installed. Package pkgconf which provides pkg-config is to be removed. libglib2.0-dev:amd64 depends on pkg-config; however: Package pkg-config is not installed. Package pkgconf which provides pkg-config is to be removed. libfontconfig-dev:amd64 depends on pkg-config; however: Package pkg-config is not installed. Package pkgconf which provides pkg-config is to be removed. Removing pkgconf (1.8.0-1) ... Removing 'diversion of /usr/bin/pkg-config to /usr/bin/pkg-config.real by pkgconf' Removing 'diversion of /usr/share/aclocal/pkg.m4 to /usr/share/aclocal/pkg.real.m4 by pkgconf' Removing 'diversion of /usr/share/man/man1/pkg-config.1.gz to /usr/share/man/man1/pkg-config.real.1.gz by pkgconf' Removing 'diversion of /usr/share/pkg-config-crosswrapper to /usr/share/pkg-config-crosswrapper.real by pkgconf' Selecting previously unselected package pkg-config. (Reading database ... 126257 files and directories currently installed.) Preparing to unpack .../pkg-config_0.29.2-1ubuntu3_amd64.deb ... Unpacking pkg-config (0.29.2-1ubuntu3) ... Selecting previously unselected package libc-ares2:amd64. Preparing to unpack .../libc-ares2_1.18.1-1ubuntu0.22.04.3_amd64.deb ... Unpacking libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.3) ... Selecting previously unselected package libaria2-0:amd64. Preparing to unpack .../libaria2-0_1.36.0-1_amd64.deb ... Unpacking libaria2-0:amd64 (1.36.0-1) ... Selecting previously unselected package aria2. Preparing to unpack .../aria2_1.36.0-1_amd64.deb ... Unpacking aria2 (1.36.0-1) ... Setting up libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.3) ... Setting up pkg-config (0.29.2-1ubuntu3) ... Setting up libaria2-0:amd64 (1.36.0-1) ... Setting up aria2 (1.36.0-1) ... Processing triggers for man-db (2.10.2-1) ... Processing triggers for libc-bin (2.35-0ubuntu3.8) ... /sbin/ldconfig.real: /usr/local/lib/libtcm_debug.so.1 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libur_adapter_opencl.so.0 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libur_loader.so.0 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libhwloc.so.15 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero.so.0 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libumf.so.0 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero_v2.so.0 is not a symbolic link /sbin/ldconfig.real: /usr/local/lib/libtcm.so.1 is not a symbolic link The following packages were automatically installed and are no longer required: libbz2-dev libpkgconf3 libreadline-dev Use 'apt autoremove' to remove them. The following NEW packages will be installed: unionfs-fuse 0 upgraded, 1 newly installed, 0 to remove and 41 not upgraded. Need to get 48.7 kB of archives. After this operation, 146 kB of additional disk space will be used. Selecting previously unselected package unionfs-fuse. (Reading database ... 126346 files and directories currently installed.) Preparing to unpack .../unionfs-fuse_1.0-1ubuntu2_amd64.deb ... Unpacking unionfs-fuse (1.0-1ubuntu2) ... Setting up unionfs-fuse (1.0-1ubuntu2) ... Processing triggers for man-db (2.10.2-1) ... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 GB 444.7 kB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.1/6.1 MB 89.3 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 76.9 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 16.6 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.6/4.6 MB 78.7 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.3/63.3 MB 11.3 MB/s eta 0:00:00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 96.4/96.4 kB 3.0 MB/s eta 0:00:00 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. torchtune 0.6.1 requires torchdata==0.11.0, but you have torchdata 0.6.0 which is incompatible. ERROR: Could not find a version that satisfies the requirement xformers==0.0.19 (from versions: 0.0.1, 0.0.2, 0.0.3, 0.0.4, 0.0.5, 0.0.6, 0.0.7, 0.0.8, 0.0.9, 0.0.10, 0.0.11, 0.0.12, 0.0.13, 0.0.16rc424, 0.0.16rc425, 0.0.16, 0.0.20, 0.0.21, 0.0.22, 0.0.22.post7, 0.0.23, 0.0.23.post1, 0.0.24, 0.0.25, 0.0.25.post1, 0.0.26.post1, 0.0.27, 0.0.27.post1, 0.0.27.post2, 0.0.28, 0.0.28.post1, 0.0.28.post2, 0.0.28.post3, 0.0.29, 0.0.29.post1, 0.0.29.post2, 0.0.29.post3, 0.0.30, 0.0.31, 0.0.31.post1, 0.0.32.dev1062, 0.0.32.dev1064) ERROR: No matching distribution found for xformers==0.0.19 Failed to open /content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/extensions/sd-webui-additional-networks/models/lora/: No such file or directory. Aborting! /content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui Updating files: 100% (203/203), done. HEAD is now at 22bcc7be attempted fix for infinite loading for settings that some people experience Updating files: 100% (135/135), done. HEAD is now at cf1d67a Update modelcard.md HEAD is now at c202932 GRADIO_TUNNEL online Already up to date. Download Results: gid |stat|avg speed |path/URI ======+====+===========+======================================================= 20d2be|OK | 0B/s|/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/models/CLIP/ViT-L-14.pt Status Legend: (OK):download completed. Python 3.11.13 (main, Jun 4 2025, 08:57:29) [GCC 11.4.0] Commit hash: 22bcc7be428c94e9408f589966c2040187245d81 Installing gfpgan Installing clip Installing open_clip Installing xformers Traceback (most recent call last): File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/launch.py", line 355, in <module> prepare_environment() File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/launch.py", line 281, in prepare_environment run_pip(f"install {xformers_package}", "xformers") File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/launch.py", line 129, in run_pip return run(f'"{python}" -m pip {args} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/content/drive/MyDrive/stable-diffusion-webui-colab/stable-diffusion-webui/launch.py", line 97, in run raise RuntimeError(message) RuntimeError: Couldn't install xformers. Command: "/usr/bin/python3" -m pip install xformers==0.0.16rc425 --prefer-binary Error code: 1 stdout: Collecting xformers==0.0.16rc425 Downloading xformers-0.0.16rc425.tar.gz (7.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.3/7.3 MB 81.4 MB/s eta 0:00:00 Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: torch>=1.12 in /usr/local/lib/python3.11/dist-packages (from xformers==0.0.16rc425) (2.0.0+cu118) Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (from xformers==0.0.16rc425) (2.0.2) Collecting pyre-extensions==0.0.23 (from xformers==0.0.16rc425) Downloading pyre_extensions-0.0.23-py3-none-any.whl.metadata (4.0 kB) Collecting typing-inspect (from pyre-extensions==0.0.23->xformers==0.0.16rc425) Downloading typing_inspect-0.9.0-py3-none-any.whl.metadata (1.5 kB) Requirement already satisfied: typing-extensions in /usr/local/lib/python3.11/dist-packages (from pyre-extensions==0.0.23->xformers==0.0.16rc425) (4.14.1) Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from torch>=1.12->xformers==0.0.16rc425) (3.18.0) Requirement already satisfied: sympy in /usr/local/lib/python3.11/dist-packages (from torch>=1.12->xformers==0.0.16rc425) (1.13.1) Requirement already satisfied: networkx in /usr/local/lib/python3.11/dist-packages (from torch>=1.12->xformers==0.0.16rc425) (3.5) Requirement already satisfied: jinja2 in /usr/local/lib/python3.11/dist-packages (from torch>=1.12->xformers==0.0.16rc425) (3.1.6) Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.11/dist-packages (from torch>=1.12->xformers==0.0.16rc425) (2.0.0) Requirement already satisfied: cmake in /usr/local/lib/python3.11/dist-packages (from triton==2.0.0->torch>=1.12->xformers==0.0.16rc425) (3.31.6) Requirement already satisfied: lit in /usr/local/lib/python3.11/dist-packages (from triton==2.0.0->torch>=1.12->xformers==0.0.16rc425) (18.1.8) Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.11/dist-packages (from jinja2->torch>=1.12->xformers==0.0.16rc425) (3.0.2) Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from sympy->torch>=1.12->xformers==0.0.16rc425) (1.3.0) Collecting mypy-extensions>=0.3.0 (from typing-inspect->pyre-extensions==0.0.23->xformers==0.0.16rc425) Downloading mypy_extensions-1.1.0-py3-none-any.whl.metadata (1.1 kB) Downloading pyre_extensions-0.0.23-py3-none-any.whl (11 kB) Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) Building wheels for collected packages: xformers Building wheel for xformers (setup.py): started Building wheel for xformers (setup.py): finished with status 'error' Running setup.py clean for xformers Failed to build xformers stderr: error: subprocess-exited-with-error × python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for xformers ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (xformers)

根据经验，xformers的安装经常因为与其他库（如torch）的版本不兼容而失败。在Colab环境中，默认安装的torch版本可能过高。 解决方案通常包括： 1. 确保安装与xformers兼容的torch版本（例如torch==1.12.1+cu113...
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C:\Users\归结为>pip install mamba-ssm Defaulting to user installation because normal site-packages is not writeable Looking in indexes: https://mirrors.aliyun.com/pypi/simple/ Collecting mamba-ssm Using cached https://mirrors.aliyun.com/pypi/packages/1d/c7/6e21ecece28e6d625f42e708c7523cd78ec82d1622f98562f82bf02748b7/mamba_ssm-2.2.4.tar.gz (91 kB) Installing build dependencies ... done Getting requirements to build wheel ... error error: subprocess-exited-with-error × Getting requirements to build wheel did not run successfully. │ exit code: 1 ╰─> [26 lines of output] C:\Users\归结为\AppData\Local\Temp\pip-build-env-5ffeek4q\overlay\Lib\site-packages\torch\_subclasses\functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\torch\csrc\utils\tensor_numpy.cpp:81.) cpu = _conversion_method_template(device=torch.device("cpu")) <string>:118: UserWarning: mamba_ssm was requested, but nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc. torch.__version__ = 2.7.0+cpu Traceback (most recent call last): File "D:\BandzipMSE\Miniconda3\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 353, in <module> main() File "D:\BandzipMSE\Miniconda3\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 335, in main json_out['return_val'] = hook(**hook_input['kwargs']) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\BandzipMSE\Miniconda3\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 118, in get_requires_for_build_wheel return hook(config_settings) ^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\归结为\AppData\Local\Temp\pip-build-env-5ffeek4q\overlay\Lib\site-packages\setuptools\build_meta.py", line 331, in get_requires_for_build_wheel return self._get_build_requires(config_settings, requirements=[]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\归结为\AppData\Local\Temp\pip-build-env-5ffeek4q\overlay\Lib\site-packages\setuptools\build_meta.py", line 301, in _get_build_requires self.run_setup() File "C:\Users\归结为\AppData\Local\Temp\pip-build-env-5ffeek4q\overlay\Lib\site-packages\setuptools\build_meta.py", line 317, in run_setup exec(code, locals()) File "<string>", line 188, in <module> NameError: name 'bare_metal_version' is not defined [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error × Getting requirements to build wheel did not run successfully. │ exit code: 1 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. C:\Users\归结为>git clone https://github.com/state-spaces/mamba.git Cloning into 'mamba'... remote: Enumerating objects: 726, done. remote: Counting objects: 100% (48/48), done. remote: Compressing objects: 100% (27/27), done. remote: Total 726 (delta 34), reused 21 (delta 21), pack-reused 678 (from 3) Receiving objects: 100% (726/726), 1.58 MiB | 1.47 MiB/s, done. Resolving deltas: 100% (389/389), done. C:\Users\归结为>cd mamba C:\Users\归结为\mamba>pip install -e . Defaulting to user installation because normal site-packages is not writeable Looking in indexes: https://mirrors.aliyun.com/pypi/simple/ Obtaining file:///C:/Users/%E5%BD%92%E7%BB%93%E4%B8%BA/mamba Installing build dependencies ... done Checking if build backend supports build_editable ... done Getting requirements to build editable ... error error: subprocess-exited-with-error × Getting requirements to build editable did not run successfully. │ exit code: 1 ╰─> [29 lines of output] C:\Users\归结为\AppData\Local\Temp\pip-build-env-r9v8v3eg\overlay\Lib\site-packages\torch\_subclasses\functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\torch\csrc\utils\tensor_numpy.cpp:81.) cpu = _conversion_method_template(device=torch.device("cpu")) <string>:118: UserWarning: mamba_ssm was requested, but nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc. torch.__version__ = 2.7.0+cpu Traceback (most recent call last): File "D:\BandzipMSE\Miniconda3\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 353, in <module> main() File "D:\BandzipMSE\Miniconda3\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 335, in main json_out['return_val'] = hook(**hook_input['kwargs']) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\BandzipMSE\Miniconda3\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 132, in get_requires_for_build_editable return hook(config_settings) ^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\归结为\AppData\Local\Temp\pip-build-env-r9v8v3eg\overlay\Lib\site-packages\setuptools\build_meta.py", line 473, in get_requires_for_build_editable return self.get_requires_for_build_wheel(config_settings) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\归结为\AppData\Local\Temp\pip-build-env-r9v8v3eg\overlay\Lib\site-packages\setuptools\build_meta.py", line 331, in get_requires_for_build_wheel return self._get_build_requires(config_settings, requirements=[]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\归结为\AppData\Local\Temp\pip-build-env-r9v8v3eg\overlay\Lib\site-packages\setuptools\build_meta.py", line 301, in _get_build_requires self.run_setup() File "C:\Users\归结为\AppData\Local\Temp\pip-build-env-r9v8v3eg\overlay\Lib\site-packages\setuptools\build_meta.py", line 317, in run_setup exec(code, locals()) File "<string>", line 188, in <module> NameError: name 'bare_metal_version' is not defined [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error × Getting requirements to build editable did not run successfully. │ exit code: 1 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. C:\Users\归结为\mamba>

conda create -n mamba_cu118 python=3.10 -y conda activate mamba_cu118 # 按顺序安装组件（必须严格版本匹配） pip install torch==2.1.0 torchvision==0.16.0 --extra-index-url ...
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File "D:\SadTalker\Launcher.py", line 203, in <module> prepare_environment() File "D:\SadTalker\Launcher.py", line 189, in prepare_environment run_pip(f"install -r \"{requirements_file}\"", "requirements for SadTalker WebUI (may take longer time in first time)") File "D:\SadTalker\Launcher.py", line 118, in run_pip return run(f'"{python}" -m pip {args} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\SadTalker\Launcher.py", line 86, in run raise RuntimeError(message) RuntimeError: Couldn't install requirements for SadTalker WebUI (may take longer time in first time). Command: "D:\SadTalker\venv\Scripts\python.exe" -m pip install -r "requirements.txt" --prefer-binary Error code: 2 stdout: Collecting numpy==1.23.4 (from -r requirements.txt (line 1)) Using cached numpy-1.23.4.tar.gz (10.7 MB) Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' stderr: WARNING: Ignoring invalid distribution ~ (D:\SadTalker\venv\Lib\site-packages) WARNING: Ignoring invalid distribution ~ip (D:\SadTalker\venv\Lib\site-packages) WARNING: Ignoring invalid distribution ~~p (D:\SadTalker\venv\Lib\site-packages) ERROR: Exception: Traceback (most recent call last): File "D:\SadTalker\venv\Lib\site-packages\pip\_internal\cli\base_command.py", line 106, in _run_wrapper status = _inner_run() ^^^^^^^^^^^^ File "D:\SadTalker\venv\Lib\site-packages\pip\_internal\cli\base_command.py", line 97, in _inner_run return self.run(options, args) ^^^^^^^^^^^^^^^^^^^^^^^ File "D:\SadTalker\venv\Lib\site-packages\pip\_internal\cli\req_command.py", line 67, in wrapper return func(self, option

另外，可能的其他原因包括依赖包版本冲突、网络问题导致下载失败、或者特定包需要系统级的依赖库（比如Visual C++构建工具）。例如，如果某个包需要编译，而系统缺少必要的构建工具，就会报错。 所以，可能的解决...
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ModuleNotFoundError Traceback (most recent call last) C:\Windows\Temp\ipykernel_30936\1483979161.py in <module> 2 3 # 加载分词模型 ----> 4 tokenizer = hanlp.load(hanlp.pretrained.tok.CTB9_TOK_ELECTRA_SMALL) 5 # 加载命名实体识别模型 6 ner_tagger = hanlp.load(hanlp.pretrained.ner.MSRA_NER_ELECTRA_SMALL_ZH) D:\Anaconda\lib\site-packages\hanlp\__init__.py in load(save_dir, verbose, **kwargs) 41 from hanlp_common.constant import HANLP_VERBOSE 42 verbose = HANLP_VERBOSE ---> 43 return load_from_meta_file(save_dir, 'meta.json', verbose=verbose, **kwargs) 44 45 D:\Anaconda\lib\site-packages\hanlp\utils\component_util.py in load_from_meta_file(save_dir, meta_filename, transform_only, verbose, **kwargs) 113 raise e from None 114 else: --> 115 raise ModuleNotFoundError( 116 f'Some modules ({e.name} etc.) required by this model are missing. Please install the full version:' 117 '\n\n\tpip install hanlp[full] -U') from None ModuleNotFoundError: Some modules (pynvml etc.) required by this model are missing. Please install the full version: pip install hanlp[full] -U

tar -zxf openssl-1.1.1w.tar.gz cd openssl-1.1.1w ./config --prefix=/usr/local/openssl make && sudo make install ``` #### 6. **使用虚拟环境隔离** 避免系统环境污染，建议创建独立环境： ```bash python -m...
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import os import torch from torch import nn from d2l import torch as d2l 读取数据集 首先，下载并提取路径../data/aclImdb中的IMDb评论数据集。 #@save d2l.DATA_HUB['aclImdb'] = ( 'http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz', '01ada507287d82875905620988597833ad4e0903')data_dir = d2l.download_extract('aclImdb', 'aclImdb') #@save def read_imdb(data_dir, is_train): """读取IMDb评论数据集文本序列和标签""" data, labels = [], [] for label in ('pos', 'neg'): folder_name = os.path.join(data_dir, 'train' if is_train else 'test', label) for file in os.listdir(folder_name): with open(os.path.join(folder_name, file), 'rb') as f: review = f.read().decode('utf-8').replace('\n', '') data.append(review) labels.append(1 if label == 'pos' else 0) return data, labels train_data = read_imdb(data_dir, is_train=True) print('训练集数目：', len(train_data[0])) for x, y in zip(train_data[0][:3], train_data[1][:3]): print('标签：', y, 'review:', x[0:60]) train_tokens = d2l.tokenize(train_data[0], token='word') vocab = d2l.Vocab(train_tokens, min_freq=5, reserved_tokens=['<pad>']) d2l.set_figsize() d2l.plt.xlabel('# tokens per review') d2l.plt.ylabel('count') d2l.plt.hist([len(line) for line in train_tokens], bins=range(0, 1000, 50)); num_steps = 500 # 序列长度 train_features = torch.tensor([d2l.truncate_pad( vocab[line], num_steps, vocab['<pad>']) for line in train_tokens]) print(train_features.shape) train_iter = d2l.load_array((train_features, torch.tensor(train_data[1])), 64) for X, y in train_iter: print('X:', X.shape, ', y:', y.shape) break print('小批量数目：', len(train_iter)) #@save def load_data_imdb(batch_size, num_steps=500): """返回数据迭代器和IMDb评论数据集的词表""" data_dir = d2l.download_extract('aclImdb', 'aclImdb') train_data = read_imdb(data_dir, True) test_data = read_imdb(data_dir, False) train_tokens = d2l.tokenize(train_data[0], token='word') test_tokens = d2l.tokenize(test_data[0], token='word') vocab = d2l.Vocab(train_tokens, min_freq=5) train_features = torch.tensor([d2l.truncate_pad( vocab[line], num_steps, vocab['<pad>'])

我们参考用户提供的引用[1]和[2]，其中包含了使用PyTorch和d2l库处理IMDb数据集的具体步骤。用户需求：加载并预处理IMDb评论数据集，包括读取、标记化、截断填充等操作。步骤：1.导入必要的库：os,torch,nn,d2l2....
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你好，你好。

Feodra 7在历经4个test版本之后，终于发布了。时间是5月31日——很抱歉我不知道是哪个时区的5月31日。由于地理的时差加上传播上的时差，终于在六一儿童节这天，我看到了F7的发布。于是升级到F7，就列入到了我的个人爱好计划日程中来了。 首先需要说明一下，我目前使用的，
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基于Spark和Python的社交媒体大数据分析系统-电影主创票房贡献价值评估模型-通过微博和豆瓣数据爬取分析明星效应对票房的正负面影响-使用机器学习算法量化明星与作品匹配度对购票.zip

基于Spark和Python的社交媒体大数据分析系统_电影主创票房贡献价值评估模型_通过微博和豆瓣数......
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