error: unknown file type '.pyx' (from 'tsne/bh_sne.pyx')

最新推荐文章于 2023-10-06 11:46:41 发布
原创 最新推荐文章于 2023-10-06 11:46:41 发布 · 3.8k 阅读 · 0 ·
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
文章标签：

#tsne

error: unknown file type '.pyx' (from 'pycocotools/_mask.pyx')
渣渣的夏天
03-15 3724
在 YOLO v3模型中运用 cocoapi 进行评估模型，安装时报错显示：error: unknown file type '.pyx' (from 'pycocotools/_mask.pyx')，可能原因是运行的python版本问题，运行命令 make 时默认调用的是系统的python2，修改为python3命令即可。
rhel7挂载移动硬盘提示mount: unknown filesystem type 'ntfs'
njdxtj的博客
10-22 3845
今天要把移动硬盘上的部分东西拷贝到Red Hat Enterprise Linux 7（RHEL7）上，移动硬盘插上后，先查看移动硬盘的盘符[root@localhost ~]# fdisk -l    Device Boot      Start         End      Blocks   Id  System /dev/sdb1            2048  1953458
Graphormer跑数据和踩坑记录
Algabeno的博客
09-04 1371
pip版本太低，需要更新pip install --upgrade pip。将这些图和标签列表组合成一个单一的DGL数据集对象。使用自己的数据转化成与QM9数据集类似的数据结构。读取CSV文件，创建DGL图和标签列表。版本问题，需要更新到python3.9。出现这个就把num_class设为2。不过后面还是不行，就没用预训练模型。
.pxd/.pyx file
qhyw_qhyw的专栏
05-27 1917
PXD file is a Pyrex Definition File. PYX file is a Pyrex source. Pyrex is a Language for Writing Python Extension modules. Pyrex lets you write code that mixes Python and C data types any way you want
Maven工程下Java加载so包no suitable image found unknown file type排查与处理
Revivedsun的专栏
01-08 8138
问题产生背景 使用IDE为idea intellij，在SpringBoot项目中需要用到native方法，因此需要依赖so包(Shared Object Library)。考虑把so包放在项目的resource目录下。通过System.loadLibrary方法加载包有配置路径的方法。 启动系统通过-D参数指定绝对位置。 系统运行时内部代码通过相对位置定位。 2在运行时通过相对位置加载提高灵...
pip install "xinference[all]" Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting xinference[all] Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b6/a0/d0754f1b6d7278bf40cf35832656cf52b18f138aa77cc026588f0e6ad5c0/xinference-1.3.1.post1-py3-none-any.whl (33.2 MB) Collecting xoscar>=0.4.4 (from xinference[all]) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/92/10/bf763c5367b73536bcac15de0af795a10bdbe87aae657e12cc157260a298/xoscar-0.4.6.tar.gz (128 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 ╰─> [32 lines of output] Compiling xoscar\context.pyx because it changed. Compiling xoscar\core.pyx because it changed. Compiling xoscar\_utils.pyx because it changed. Compiling xoscar\backends\message.pyx because it changed. Compiling xoscar\serialization\core.pyx because it changed. [1/5] Cythonizing xoscar\_utils.pyx [2/5] Cythonizing xoscar\backends\message.pyx [3/5] Cythonizing xoscar\context.pyx [4/5] Cythonizing xoscar\core.pyx [5/5] Cythonizing xoscar\serialization\core.pyx warning: xoscar\backends\message.pyx:74:18: Annotation ignored since class-level attributes must be Python objects. Were you trying to set up an instance attribute? warning: xoscar\backends\message.pyx:227:22: Unknown type declaration 'BaseException' in annotation, ignoring warning: xoscar\core.pyx:596:62: Strings should no longer be used for type declarations. Use 'cython.int' etc. directly. warning: xoscar\core.pyx:602:29: Strings should no longer be used for type declarations. Use 'cython.int' etc. directly. warning: xoscar\core.pyx:634:73: Strings should no longer be used for type declarations. Use 'cython.int' etc. directly. warning: xoscar\core.pyx:640:40: Strings should no longer be used for
03-18
检查日志中 `error: command 'gcc' failed` 或缺失头文件提示。 --- ### 补充说明 1. 若涉及 `*cublas*` 冲突，需清理旧版本： ```bash sudo yum remove "*cublas*" "cuda*" # CentOS/RHEL [^2] ``` 2. 若遇到...
/home/vuxuanni/.conda/envs/yxn_pytorch_1/bin/python /home/vuxuanni/code/Compaired-HIT-IIL/train_fivek_skff_no_patches.py CUDA visible devices: 4 CUDA Device Name: NVIDIA GeForce RTX 3090 batch_size:1 Total_params: 8946598 length of dataset:10 Train loader length: 10 /home/vuxuanni/.conda/envs/yxn_pytorch_1/lib/python3.8/site-packages/cupy/cuda/compiler.py:464: UserWarning: cupy.cuda.compile_with_cache has been deprecated in CuPy v10, and will be removed in the future. Use cupy.RawModule or cupy.RawKernel instead. warnings.warn( Traceback (most recent call last): File "/home/vuxuanni/code/Compaired-HIT-IIL/train_fivek_skff_no_patches.py", line 123, in <module> train() File "/home/vuxuanni/code/Compaired-HIT-IIL/train_fivek_skff_no_patches.py", line 67, in train GCMModel_out_warp, rgb_mask, raw_demosaic_warp, raw_demosaic_mask = get_backwarp(x, GCMModel_out, target, File "/home/vuxuanni/code/Compaired-HIT-IIL/model/warp_modules.py", line 65, in get_backwarp flow = get_flow(tenFirst, tenSecond, net) File "/home/vuxuanni/code/Compaired-HIT-IIL/model/warp_modules.py", line 82, in get_flow flow = estimate(tenFirst, tenSecond, net) File "/home/vuxuanni/code/Compaired-HIT-IIL/model/warp_modules.py", line 33, in estimate input=net(tenPreprocessedFirst, tenPreprocessedSecond), File "/home/vuxuanni/.conda/envs/yxn_pytorch_1/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/home/vuxuanni/.conda/envs/yxn_pytorch_1/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 166, in forward return self.module(*inputs[0], **kwargs[0]) File "/home/vuxuanni/.conda/envs/yxn_pytorch_1/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/home/vuxuanni/code/Compaired-HIT-IIL/pwc_net/pwc_net.py", line 270, in forward objEstimate = self.netSix(tenFirst[-1], tenSecond[-1], None) File "/home/vuxuanni/.conda/envs/yxn_pytorch_1/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/home/vuxuanni/code/Compaired-HIT-IIL/pwc_net/pwc_net.py", line 147, in forward tenVolume = torch.nn.functional.leaky_relu(input=correlation.FunctionCorrelation( File "/home/vuxuanni/code/Compaired-HIT-IIL/pwc_net/correlation/correlation.py", line 398, in FunctionCorrelation return _FunctionCorrelation.apply(tenFirst, tenSecond) File "/home/vuxuanni/code/Compaired-HIT-IIL/pwc_net/correlation/correlation.py", line 316, in forward cupy_launch('kernel_Correlation_updateOutput', cupy_kernel('kernel_Correlation_updateOutput', { File "cupy/_util.pyx", line 64, in cupy._util.memoize.decorator.ret File "/home/vuxuanni/code/Compaired-HIT-IIL/pwc_net/correlation/correlation.py", line 276, in cupy_launch return cupy.cuda.compile_with_cache(strKernel).get_function(strFunction) File "/home/vuxuanni/.conda/envs/yxn_pytorch_1/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 468, in compile_with_cache return _compile_module_with_cache(*args, **kwargs) File "/home/vuxuanni/.conda/envs/yxn_pytorch_1/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 496, in _compile_module_with_cache return _compile_with_cache_cuda( File "/home/vuxuanni/.conda/envs/yxn_pytorch_1/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 565, in _compile_with_cache_cuda mod.load(cubin) File "cupy/cuda/function.pyx", line 263, in cupy.cuda.function.Module.load File "cupy/cuda/function.pyx", line 265, in cupy.cuda.function.Module.load File "cupy_backends/cuda/api/driver.pyx", line 210, in cupy_backends.cuda.api.driver.moduleLoadData File "cupy_backends/cuda/api/driver.pyx", line 60, in cupy_backends.cuda.api.driver.check_status cupy_backends.cuda.api.driver.CUDADriverError: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered Traceback (most recent call last): File "cupy_backends/cuda/api/driver.pyx", line 217, in cupy_backends.cuda.api.driver.moduleUnload File "cupy_backends/cuda/api/driver.pyx", line 60, in cupy_backends.cuda.api.driver.check_status cupy_backends.cuda.api.driver.CUDADriverError: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered Exception ignored in: 'cupy.cuda.function.Module.__dealloc__' Traceback (most recent call last): File "cupy_backends/cuda/api/driver.pyx", line 217, in cupy_backends.cuda.api.driver.moduleUnload File "cupy_backends/cuda/api/driver.pyx", line 60, in cupy_backends.cuda.api.driver.check_status cupy_backends.cuda.api.driver.CUDADriverError: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered 如何解决该问题
最新发布
08-05
我们遇到了一个CUDA错误：`CUDA_ERROR_ILLEGAL_ADDRESS`，这通常是由于试图访问无效的内存地址引起的。从错误堆栈来看，问题发生在使用光流估计（可能是PWC-Net）时的相关性计算（correlation）部分，具体是在编译或...
File "pandas/_libs/parsers.pyx", line 814, in pandas._libs.parsers.TextReader.read_low_memory File "pandas/_libs/parsers.pyx", line 875, in pandas._libs.parsers.TextReader._read_rows File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader._tokenize_rows File "pandas/_libs/parsers.pyx", line 861, in pandas._libs.parsers.TextReader._check_tokenize_status File "pandas/_libs/parsers.pyx", line 2029, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 32 fields in line 34, saw 34
03-13
好的，我现在需要解决用户在使用Pandas读取CSV文件时遇到的ParserError错误，具体提示是“Expected 32 fields in line 34, saw 34”。首先，我得理解这个错误的原因。根据之前的引用资料，这类错误通常是因为CSV文件...
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 ╰─> [78 lines of output] Compiling av/descriptor.pyx because it changed. [1/1] Cythonizing av/descriptor.pyx Compiling av/buffer.pyx because it changed. [1/1] Cythonizing av/buffer.pyx Compiling av/bytesource.pyx because it changed. [1/1] Cythonizing av/bytesource.pyx Compiling av/packet.pyx because it changed. [1/1] Cythonizing av/packet.pyx Compiling av/option.pyx because it changed. [1/1] Cythonizing av/option.pyx Compiling av/format.pyx because it changed. [1/1] Cythonizing av/format.pyx Compiling av/error.pyx because it changed. [1/1] Cythonizing av/error.pyx Compiling av/utils.pyx because it changed. [1/1] Cythonizing av/utils.pyx Compiling av/stream.pyx because it changed. [1/1] Cythonizing av/stream.pyx Compiling av/dictionary.pyx because it changed. [1/1] Cythonizing av/dictionary.pyx performance hint: av/logging.pyx:232:5: Exception check on 'log_callback' will always require the GIL to be acquired. Possible solutions: 1. Declare 'log_callback' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on 'log_callback' to allow an error code to be returned.
03-09
可能需要建议用户检查完整的78行输出，寻找具体的错误信息，比如是否有“fatal error: libavformat/avformat.h: No such file or directory”之类的提示，这通常表明缺少开发库。如果用户已经安装了FFmpeg的开发库，...
ld.lld的unknown file type错误
Invoker123的博客
10-06 2199
于是，我删掉out/soong/.intermediates/external/pdfium下面的所有文件，重新正确编译生成libpdfium-libopenjpeg2.a后，此错误被修复。先用file命令查看libpdfium-libopenjpeg2.a的文件属性。报错提示libpdfium-libopenjpeg2.a无法被ld.lld识别，被标记为unknown file type。但是这里确提示"empty"，表明这是一个空文件。
python-bhtsne:用于t-SNE的Barnes-Hut实现的Python模块（Cython）
05-17
Python BHTSNE 用于t-SNE（Cython）的Barnes-Hut实现的Python模块。 该模块基于的出色工作。 特征 比Scikit-Learn BH t-SNE实施更好的结果： VS 快速（C ++ / Cython） 设置随机种子的能力 能够设置预定义的绘图坐标（允许在绘图之间进行平滑过渡） 安装 从点子： pip install bhtsne 例子 虹膜数据集 将四维虹膜数据集减少为二维： from bhtsne import tsne from sklearn . datasets import load_iris iris = load_iris () Y = tsne ( iris . data ) plt . scatter ( Y [:, 0 ], Y [:, 1 ], c = iris . target ) plt . show ()
EmbeddingScripts:使用scikit-learn和bh_tsne可视化高维数据的脚本集合
05-14
嵌入脚本 一小堆用于在二维中投影/嵌入高维数据的脚本。 首先运行./setup.sh ，以确保python具有必需的库。 它还将从源代码编译Barnes-Hut t-SNE，并下载在Google新闻数据集上训练的word2vec模型（一个非常大的文件，将解压缩到约3.6GB）。 每个数据集都存储在一个文件夹中。 在文件夹中，您可能具有： tokens以制表符分隔的样本文件，每列中都有一个标记。 例如，一行cocktails/tokens可能看起来像whiskey\tginger ale\tlemon wordlist表是将要使用word2vec投影的单词。 例如， moods/wordlist可能显示为“ happy\nsad\nhungry\ndelighted\n vectors是制表符分隔的高维向量列表，用作非线性投影算法的输入。 words是vectors每行的标签列表
.pyx文件编译出错
wulimmya的博客
05-28 3967
文章目录.pyx文件的编译导入 参考博客（写的超级好，完美解决了问题） 错误 ImportError: Building module dtw failed: ["distutils.errors.CompileError: command 'D:\\\\Program Files (x86)\\\\Microsoft Visual Studio\\\\2019\\\\Preview\\\\VC\\\\Tools\\\\MSVC\\\\14.24.28314\\\\bin\\\\HostX86\\\\x64
tsne python_pip installl tsne不起作用
weixin_39634067的博客
02-11 535
tsne/bh_sne_src/quadtree.cpp(12):fatal error C1083:Cannotopen include file:'cblas.h':Nosuch fileordirectoryerror:command'C:\\Users\\hzoe\\AppData\\Local\\Programs\\Common\\Microsoft\\Visual C++ for Py...
python中导入.pyx文件的问题解决
LovelyTotoro
01-09 7759
已经几次遇到这种问题了, 里面的region指的是一个.pyx文件。 ImportError: cannot import name 'region' from 'toolkit.utils' (D:\******\RPN\pysot-master\toolkit\utils\__init__.py) 解决方案： 创建一个setup.py文件，一般如果是搬运的话里面会有，甚至可能在不同目录下有多个，所以应当找到正确的那个 比如我上面这个 找到这个文件之后到控制台运行 pyth
解决keil重定义输出函数出现“error：unknow type name ‘ FILE ‘”
Zibian的博客
05-18 6451
解决keil重定义输出函数出现“error：unknow type name ' FILE '”
t-SNE可视化(MNIST例子)
deye1979的专栏
06-05 2278
如下所示： import pickle as pkl import numpy as np from matplotlib import pyplot as plt from tsne import bh_sne import sys with open("data", 'rb') as f: if sys.version_info &gt...
mmskeleton安装
SenshinJiang的博客
04-17 4407
目录安装安装Anaconda3安装cuda、cudnn、nccl新建conda环境并激活安装与cuda版本对应的pytorch将mmskeleton从github下载到本地安装mmskeleton 最近开始尝试ST-GCN，主要安装步骤参考作者在github上提供的指南：https://github.com/open-mmlab/mmskeleton/blob/master/doc/GETTIN...
深度学习21天实战实战caffe学习笔记《14：Caffe可视化方法》
女王の专属领地
01-31 935
1、数据可视化Matlab：数据可视化不依赖Caffe环境，可以在任意位置运行代码，建议安装Matlab R2014以上版本；安装：cd MATHWORKS_R2014A sudo ./install -javadir=/opt/jvm/jdk1.8.0_77 注意：（1）.安装过程中使用破解文件夹Crack内Readme.txt中的序列号；安装完成后使用破解文件夹Crack内 license_4...
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
表情包 代码片
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值