一、問(wèn)題的提出

在我們之前的拉取中，速度可能比較慢，例如，我們要拉取CLIP的項(xiàng)目。

(ldm) root@I1385efcc2300601b29:/hy-tmp/latent-diffusion# pip install git+https://github.com/openai/CLIP.git
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting git+https://github.com/openai/CLIP.git
  Cloning https://github.com/openai/CLIP.git to /tmp/pip-req-build-d7uywl1j

我們拉取失??！如下圖所示：

我們嘗試新的方法：

(ldm) root@I1385efcc2300601b29:/hy-tmp/latent-diffusionpip install https://github.com/openai/CLIP.git
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting https://github.com/openai/CLIP.git
  WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(<pip._vendor.urllib3.connection.HTTPSConnection object at 0x14942d02a760>, 'Connection to github.com timed out. (connect timeout=15)')': /openai/CLIP.git
  WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='github.com', port=443): Read timed out. (read timeout=15)")': /openai/CLIP.git

這個(gè)錯(cuò)誤表明在嘗試從 GitHub 下載文件時(shí)，連接超時(shí)導(dǎo)致讀取操作無(wú)法完成。這可能是由于網(wǎng)絡(luò)連接不穩(wěn)定或GitHub服務(wù)器響應(yīng)緩慢所致。解決這個(gè)問(wèn)題的方法可以嘗試以下幾點(diǎn)：

1. 重試：由于連接超時(shí)可能是暫時(shí)的問(wèn)題，你可以嘗試多次重新運(yùn)行相同的下載操作，看是否能夠成功?？梢栽诓煌臅r(shí)間段進(jìn)行嘗試，以確定是否存在臨時(shí)的網(wǎng)絡(luò)問(wèn)題。
2. 檢查網(wǎng)絡(luò)連接：確保你的網(wǎng)絡(luò)連接穩(wěn)定，并且沒(méi)有防火墻或其他安全設(shè)置阻止你與 GitHub 建立連接。你可以嘗試通過(guò)訪問(wèn)其他網(wǎng)站或使用其他網(wǎng)絡(luò)連接來(lái)確認(rèn)問(wèn)題是否與你的網(wǎng)絡(luò)有關(guān)。
3. 更改下載工具或庫(kù)：如果你使用的是特定的下載工具或庫(kù)進(jìn)行文件下載，可以嘗試切換到其他工具或庫(kù)，以查看是否能夠解決連接超時(shí)的問(wèn)題。不同的工具可能有不同的網(wǎng)絡(luò)設(shè)置或策略，可能會(huì)對(duì)連接進(jìn)行更好的管理。
4. 聯(lián)系 GitHub 支持：如果問(wèn)題仍然存在，你可以嘗試聯(lián)系 GitHub 支持團(tuán)隊(duì)，向他們報(bào)告問(wèn)題并尋求進(jìn)一步的幫助。他們可能能夠提供更詳細(xì)的指導(dǎo)和解決方案，以解決你遇到的特定問(wèn)題。

請(qǐng)注意，GitHub 的服務(wù)器響應(yīng)速度可能會(huì)受到多種因素的影響，包括你所在的地理位置、當(dāng)前的網(wǎng)絡(luò)流量等等。因此，在下載過(guò)程中出現(xiàn)連接超時(shí)錯(cuò)誤可能是正常情況，尤其在訪問(wèn)較大文件或高峰期時(shí)更常見(jiàn)。持續(xù)遇到這個(gè)問(wèn)題的話，你可以嘗試結(jié)合以上提到的方法來(lái)解決。

二、問(wèn)題的嘗試解決

當(dāng)你嘗試從官方倉(cāng)庫(kù)下載文件時(shí)，有時(shí)可能會(huì)遇到下載速度過(guò)慢的問(wèn)題。在這種情況下，你可以嘗試使用代理服務(wù)來(lái)加速下載過(guò)程。其中一個(gè)常用的代理服務(wù)是 ghproxy（https://ghproxy.com/）。

ghproxy 是一個(gè) GitHub 代理服務(wù)，它可以幫助你從 GitHub 上的倉(cāng)庫(kù)下載文件并提供更快的下載速度。以下是使用 ghproxy 下載文件的詳細(xì)步驟：

1. 打開(kāi) ghproxy 的網(wǎng)站：https://ghproxy.com/。
2. 在 ghproxy 的主頁(yè)上，你將看到一個(gè)輸入框。在輸入框中，粘貼或輸入你想要下載的文件的 GitHub 鏈接。例如，你可以輸入類(lèi)似https://github.com/username/repository/raw/branch/filename 的鏈接，其中 username 是倉(cāng)庫(kù)所有者的用戶名，repository 是倉(cāng)庫(kù)名稱，branch 是分支名稱，filename 是文件名。
3. 點(diǎn)擊網(wǎng)頁(yè)上的 “Go” 按鈕，ghproxy 將會(huì)開(kāi)始處理你的請(qǐng)求并嘗試從指定的 GitHub 鏈接下載文件。
4. 如果一切順利，ghproxy 會(huì)返回一個(gè)帶有下載鏈接的頁(yè)面。你可以點(diǎn)擊該鏈接來(lái)下載文件。由于 ghproxy 會(huì)緩存文件，這可能會(huì)導(dǎo)致初始請(qǐng)求的響應(yīng)時(shí)間較長(zhǎng)，但在之后的請(qǐng)求中下載速度會(huì)更快。

通過(guò)使用 ghproxy，你可以借助它的代理服務(wù)來(lái)提高從 GitHub 下載文件的速度。請(qǐng)注意，ghproxy 是一個(gè)第三方服務(wù)，不受 GitHub 官方控制，因此使用它時(shí)需要謹(jǐn)慎。確保你信任 ghproxy，并在下載敏感文件或與安全相關(guān)的內(nèi)容時(shí)謹(jǐn)慎行事。

我嘗試新的下載：

pip install git+https://ghproxy.com/https://github.com/openai/CLIP.git

我們的運(yùn)行結(jié)果為：

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting git+https://ghproxy.com/https://github.com/openai/CLIP.git
  Cloning https://ghproxy.com/https://github.com/openai/CLIP.git to /tmp/pip-req-build-_hwzd0ax
Requirement already satisfied: tqdm in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from clip==1.0) (4.65.0)
Requirement already satisfied: torch in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from clip==1.0) (2.0.1)
Requirement already satisfied: torchvision in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from clip==1.0) (0.8.1)
Collecting ftfy
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e1/1e/bf736f9576a8979752b826b75cbd83663ff86634ea3055a766e2d8ad3ee5/ftfy-6.1.1-py3-none-any.whl (53 kB)
     |████████████████████████████████| 53 kB 1.1 MB/s 
Collecting wcwidth>=0.2.5
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/20/f4/c0584a25144ce20bfcf1aecd041768b8c762c1eb0aa77502a3f0baa83f11/wcwidth-0.2.6-py2.py3-none-any.whl (29 kB)
Collecting regex
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c4/3d/d7ed16c298101bc7f5e3a65aef1ab34c1d7e1a89893491a4b1faf20701aa/regex-2023.6.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (772 kB)
     |████████████████████████████████| 772 kB 41.2 MB/s 
Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (10.2.10.91)
Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (11.4.0.1)
Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (11.7.91)
Requirement already satisfied: filelock in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (3.12.2)
Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (11.7.99)
Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (11.7.101)
Requirement already satisfied: triton==2.0.0 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (2.0.0)
Requirement already satisfied: jinja2 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (3.1.2)
Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (11.10.3.66)
Requirement already satisfied: networkx in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (3.1)
Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (10.9.0.58)
Requirement already satisfied: sympy in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (1.12)
Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (11.7.99)
Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (8.5.0.96)
Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (2.14.3)
Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (11.7.4.91)
Requirement already satisfied: typing-extensions in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torch->clip==1.0) (4.6.3)
Requirement already satisfied: setuptools in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch->clip==1.0) (67.8.0)
Requirement already satisfied: wheel in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch->clip==1.0) (0.38.4)
Requirement already satisfied: cmake in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from triton==2.0.0->torch->clip==1.0) (3.26.4)
Requirement already satisfied: lit in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from triton==2.0.0->torch->clip==1.0) (16.0.6)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from jinja2->torch->clip==1.0) (2.1.3)
Requirement already satisfied: mpmath>=0.19 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from sympy->torch->clip==1.0) (1.3.0)
Requirement already satisfied: numpy in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torchvision->clip==1.0) (1.24.4)
Requirement already satisfied: pillow>=4.1.1 in /usr/local/miniconda3/envs/ldm/lib/python3.8/site-packages (from torchvision->clip==1.0) (9.4.0)
Building wheels for collected packages: clip
  Building wheel for clip (setup.py) ... done
  Created wheel for clip: filename=clip-1.0-py3-none-any.whl size=1369497 sha256=5237b42eaba4591a42c40810b27ebd0007d404797a0971e0826cd98fd7e9351c
  Stored in directory: /tmp/pip-ephem-wheel-cache-285a_izf/wheels/52/ee/e7/3cf78259fb28ea3563895f33c038625f30154f61075e04f04a
Successfully built clip
Installing collected packages: wcwidth, regex, ftfy, clip
Successfully installed clip-1.0 ftfy-6.1.1 regex-2023.6.3 wcwidth-0.2.6

檢查一下CLIP是否安裝成功：

(ldm) root@I1385efcc2300601b29:/hy-tmp/latent-diffusion# python
Python 3.8.5 (default, Sep  4 2020, 07:30:14) 
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import clip
>>> print(clip.available_models())
['RN50', 'RN101', 'RN50x4', 'RN50x16', 'RN50x64', 'ViT-B/32', 'ViT-B/16', 'ViT-L/14', 'ViT-L/14@336px']

順利安裝成功！文章來(lái)源地址http://www.zghlxwxcb.cn/news/detail-562827.html

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