Top 99 web2.0设计资源

本文汇集了99个优质的Web2.0设计资源,覆盖按钮、图标、背景图片等多种元素的设计素材及在线生成工具,为设计师提供全方位的支持。

转自vandelaydesign的一篇文章,收集了99个很不错的web2.0设计资源,包括按钮、logo设计等。

 

BADGES

Web 2.0 Badges - A set of free badges to download and use in your own designs.

Fresh Badge - Quickly generate your own badge.

adClustr - Starburst badges.

Deziner Folio - A collection of different badges.

BittBox - Free vector badges.

Official Seal Generator - An alternative to the typical badge.

Photoshop Tutorial - A quick lesson on making your own badge.

Glossy Photoshop Tutorial - Create a glossy badge with this tutorial.

BUTTONS

My Cool Button - A nice online tool that will help you to quickly create the button that you want.

Adam Kalsey’s Button Maker - Simple tool to make your own buttons.

Button Maker from Blog Flux - Create your own custom button.

Brilliant Button Maker - A similar button maker to the previous 2.

CSS Buttons - Choose the text, border, and background.

Buttonator - A paid option for creating buttons.

RSS Button Maker - The name pretty much says it all.

Button Boost - A little bit different than some of the other button generators.

ButtonGenerator.com - Create buttons for navigation menus.

Crystal Button - Slick web buttons made easy.

Chicklet Creator - Create buttons that allow visitors to subscribe in their feed reader of choice.

ROUNDED CORNERS

Rounded corners are a staple in web 2.0 design. Here are some tools and scripts that will help you to quickly create your own rounded corners.

RoundedCornr

Corner Shop

Spiffy Box

Canvas Corner

Spanky Corners

Sliding Doors Text Box

Smart Rounded Corners

Rounded Corners in CSS

News List

LOGOS

Each of these tools will create a simple web 2.0 style logo.

Web 2.0 Logo Creator

Web 2.0 Logo Creatr

Web 2.0 Logo Creator

Web 2.0 Stylr

ICONS

A web 2.0 site can’t ignore icons. Here are some free collections of icons to use in your own projects.

UtomBox - A great collection of web 2.0 icons.

Feed Icons - The standard RSS icon.

Map Icon Factory - Create your own map icon.

Perishable Press - A nice collection of RSS icons.

Glass Style RSS Icons

Snap2Objects - Vector RSS icons.

31 Sources of Quality, Free Icons

GRADIENT IMAGES

Another common element of web 2.0 is gradient images. Here are a few tools to help you.

Gradient Image Maker

Gradient Generator

Online Gradient Image Maker (OGIM)

SPEECH BUBBLES

Speech bubbles are commonly used for styling comments or blockquotes.

Will Mayo

Bubblesnaps

CSS Play

XHTML Speech Bubbles

WigFlip

Fluid CSS Speech Bubbles

MySpace Speech Bubble Generator

Photoshop Tutorial

BACKGROUND IMAGES

Background Image Maker - Create background images with choices like transparency and gradients.

Stripe Generator 2.0 - If you’re looking to add a striped background to an element on your page, you can use this tool to customize the look you want.

Stripe Designer - Easily create striped images.

Tartan Maker - Create a tartan background image.

Texture Generator - Creates textured images that you can use as a background.

All Free Backgrounds - Choose the background you want.

COLORS

The Colors of Web 2.0 - Are you looking to match the color of a popular web 2.0 site?

Web 2.0 Color Pallete - Popular web 2.o colors.

Color Schemer Gallery - Having problems choosing a color scheme? Find one you like in this gallery.

COLOURlovers - More samples of color combinations.

Website Color Picker - Test color combinations quickly.

I Like Your Colors - Get the colors used by a particular site.

NAVIGATION

CSS Menu Generator - Easily create attractive CSS menus.

Listamatic - Collection of CSS menus.

List-O-Matic - Create your own CSS menus.

List-U-Like - Another tool to create your own navigation bars.

Tabs Generator - Create tabbed images for navigation.

Flash Buttons - Create navigation menus with flash buttons

CSS Play - An extensive collection of CSS menus.

Exploding Boy - Tabbed CSS navigation menus.

CSS Navigation Menu Generator - A tool to help you create your own menu.

FAVICONS

Favicon Generator - Create your own favicon from an image on your computer.

Favicon from Pics - Create a favicon from a photo.

Favicon Editor - Upload a photo, create a favicon.

Favicon.cc - Another option for favicons.

Photoshop Tutorial - Creating a favicon with Photoshop.

CHARTS

PHP/SWF Charts - Create attractive charts.

amCharts - Flash charts.

OTHER

Avatar Maker - Create and edit an avatar.

Shrink Pictures - Create an avatar from your photo.

ScaleNine - Collection of skins and themes created for Flex and Adobe AIR.

VectorMagic - Converts bitmap images to vector art.

Templatr - Create a layout.

PsycHo - Blog template generator.

Web 2.0 Generator - Creates layouts.

Typetester - Compare fonts on-screen.

BlogPoll - Create a free poll for your blog.

RSSxl - Convert an HTML page to RSS.

Meta Tag Generator - Easily create meta tags for your pages.

URL Rewrite - Create search engine-friendly URLs for dynamic pages.

.htacces generator - Quickly create an .htaccess file.

Thumbnail Generator - Create thumbnails for a large amount of images.

Reflection.js - Adds reflections to your photos.

Drop Shadow - Improve your images with a drop shadow.

CSS Sprite Generator - From Website Performance.

Vecteezy - Stupid name. Cool vectors.

Brusheezy - Photoshop brushes.

PSBrushes.net - More Photoshop brushes.

deviantART - Photoshop brushes at deviantART

 

原文:99 Resources for Web 2.0 Design

地址:http://www.vandelaydesign.com/blog/design/web-20-design/

 
(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 https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/87/62/9773de14fe6c45c23649e98b83231fffd7b9892b6cf863251dc2afa73643/einops-0.8.1-py3-none-any.whl (64 kB) Collecting filelock (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/4d/36/2a115987e2d8c300a974597416d9de88f2444426de9571f4b59b2cca3acc/filelock-3.18.0-py3-none-any.whl (16 kB) Collecting typing-extensions>=4.10.0 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/69/e0/552843e0d356fbb5256d21449fa957fa4eff3bbc135a74a691ee70c7c5da/typing_extensions-4.14.0-py3-none-any.whl (43 kB) Collecting sympy>=1.13.3 (from torch->selective_scan==0.0.2) Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/a2/09/77d55d46fd61b4a135c444fc97158ef34a095e5681d0a6c10b75bf356191/sympy-1.14.0-py3-none-any.whl (6.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 946.1 kB/s eta 0:00:00 Link requires a different Python (3.10.18 not in: '>=3.11'): https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/eb/8d/776adee7bbf76365fdd7f2552710282c79a4ead5d2a46408c9043a2b70ba/networkx-3.5-py3-none-any.whl (from 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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 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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)
07-04
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