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Published 2 months ago • verified publisher icon zai-org

Dependency conflict in env preparation

Open CodeLyokoscj opened this issue 1 year ago • 0 comments

System Info / 系統信息

  • Python: 3.8.19
  • Diffusers: 0.30.0
  • OS: centos:7
  • NVIDIA Driver: 550.54.15
  • CUDA: 12.4
  • NVIDIA GPU: NVIDIA L40
  • NVIDIA GPU Memory: 48GB

Information / 问题信息

  • [X] The official example scripts / 官方的示例脚本
  • [ ] My own modified scripts / 我自己修改的脚本和任务

Reproduction / 复现过程

Steps:

  1. just run pip install -r requirements.txt and it got stuck on resloving dependency...

(botocore from SwissArmyTransformer conflicts with gradio on urllib3) Detailed error Info (you can just skip to the end): Collecting diffusers>=0.30.0 (from -r requirements.txt (line 1)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/74/2b/69bb842f7567cd92a540f8a9a63a20e09304ad8ff84530f26762e7e19626/diffusers-0.30.0-py3-none-any.whl (2.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.6/2.6 MB 3.1 MB/s eta 0:00:00 Collecting SwissArmyTransformer==0.4.11 (from -r requirements.txt (line 2)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/3f/ef/08053493fb128d5928a15c496fe775d73f12dc1fcfe5e8cbfa65e5cb5da4/SwissArmyTransformer-0.4.11-py3-none-any.whl (2.4 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.4/2.4 MB 3.4 MB/s eta 0:00:00 Collecting torch==2.4.0 (from -r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/fc/58/f93bdce23c9ff568c3dfb5129db0c14e60f7c72ab4d1a6de8fedca6e3792/torch-2.4.0-cp38-cp38-manylinux1_x86_64.whl (797.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 797.2/797.2 MB 2.3 MB/s eta 0:00:00 Collecting torchvision==0.19.0 (from -r requirements.txt (line 4)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c0/09/0c3d0542e864ca1b74f98d3099a338059633aead458a36c0a341f8ee90c2/torchvision-0.19.0-cp38-cp38-manylinux1_x86_64.whl (7.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.0/7.0 MB 3.1 MB/s eta 0:00:00 Collecting gradio (from -r requirements.txt (line 5)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c5/49/ea7450fb03b926110181b758ff30a8426a6aaa60ae99f149ec3e7bacf04e/gradio-4.40.0-py3-none-any.whl (12.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.5/12.5 MB 1.4 MB/s eta 0:00:00 Collecting streamlit==1.37.0 (from -r requirements.txt (line 6)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/42/61/2033dc31dcd460aa22bee7a20d29c1a4d9538c71d5c0c7986ad90162e0c9/streamlit-1.37.0-py2.py3-none-any.whl (8.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.7/8.7 MB 2.5 MB/s eta 0:00:00 Collecting opencv-python>=4.10 (from -r requirements.txt (line 7)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/3f/a4/d2537f47fd7fcfba966bd806e3ec18e7ee1681056d4b0a9c8d983983e4d5/opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (62.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.5/62.5 MB 1.7 MB/s eta 0:00:00 Collecting imageio-ffmpeg==0.5.1 (from -r requirements.txt (line 8)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/fe/44/c9e18a73dfd939b5b0ec843870ac72f1f6c17e31a03149b687a85465bff7/imageio_ffmpeg-0.5.1-py3-none-manylinux2010_x86_64.whl (26.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 26.9/26.9 MB 1.6 MB/s eta 0:00:00 Collecting openai==1.38.0 (from -r requirements.txt (line 9)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f5/25/8ef12125750ffb3a6e8390a718f5fe307c70ca35c96ad9b715ac7e41089a/openai-1.38.0-py3-none-any.whl (335 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 335.9/335.9 kB 1.4 MB/s eta 0:00:00 Collecting transformers==4.43.4 (from -r requirements.txt (line 10)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/34/71/af30c8afcdbee5d4ee4b89e366bd7c20ab8b07e7b5acb30e025b81e0ba65/transformers-4.43.4-py3-none-any.whl (9.4 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.4/9.4 MB 3.4 MB/s eta 0:00:00 Collecting accelerate==0.33.0 (from -r requirements.txt (line 11)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/15/33/b6b4ad5efa8b9f4275d4ed17ff8a44c97276171341ba565fdffb0e3dc5e8/accelerate-0.33.0-py3-none-any.whl (315 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 315.1/315.1 kB 5.9 MB/s eta 0:00:00 Collecting sentencepiece==0.2.0 (from -r requirements.txt (line 12)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/d4/eb/57f1f43f60aa3a21296171d353b6597c312b45d9a5addb1fb5313ec3611a/sentencepiece-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 3.6 MB/s eta 0:00:00 Collecting pillow==9.5.0 (from -r requirements.txt (line 13)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a6/8b/cca45afbbd58ca032594ea465ded859b9da6d8bc226afe0e60e64bd8872e/Pillow-9.5.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.4 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.4/3.4 MB 3.6 MB/s eta 0:00:00 Collecting deepspeed (from SwissArmyTransformer==0.4.11->-r requirements.txt (line 2)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/2e/06/7315113506f1804b8ba4f77cb31905c62f7080452a0af2d13eaadaa83a08/deepspeed-0.14.4.tar.gz (1.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 2.1 MB/s eta 0:00:00 Preparing metadata (setup.py) ... done Collecting tensorboardX (from SwissArmyTransformer==0.4.11->-r requirements.txt (line 2)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/44/71/f3e7c9b2ab67e28c572ab4e9d5fa3499e0d252650f96d8a3a03e26677f53/tensorboardX-2.6.2.2-py2.py3-none-any.whl (101 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 101.7/101.7 kB 1.9 MB/s eta 0:00:00 Collecting datasets (from SwissArmyTransformer==0.4.11->-r requirements.txt (line 2)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/60/2d/963b266bb8f88492d5ab4232d74292af8beb5b6fdae97902df9e284d4c32/datasets-2.20.0-py3-none-any.whl (547 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 547.8/547.8 kB 3.4 MB/s eta 0:00:00 Collecting cpm-kernels (from SwissArmyTransformer==0.4.11->-r requirements.txt (line 2)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/af/84/1831ce6ffa87b8fd4d9673c3595d0fc4e6631c0691eb43f406d3bf89b951/cpm_kernels-1.0.11-py3-none-any.whl (416 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 416.6/416.6 kB 4.1 MB/s eta 0:00:00 Collecting einops (from SwissArmyTransformer==0.4.11->-r requirements.txt (line 2)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/44/5a/f0b9ad6c0a9017e62d4735daaeb11ba3b6c009d69a26141b258cd37b5588/einops-0.8.0-py3-none-any.whl (43 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 43.2/43.2 kB 9.2 MB/s eta 0:00:00 Collecting boto3 (from SwissArmyTransformer==0.4.11->-r requirements.txt (line 2)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/74/00/67f2443fb72af2d7d3b0b7f21c426d0a0508849b0f9cf501fbcea2b28f9b/boto3-1.34.156-py3-none-any.whl (139 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 kB 2.7 MB/s eta 0:00:00 Collecting webdataset (from SwissArmyTransformer==0.4.11->-r requirements.txt (line 2)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9e/86/5614338e7bdd9335b92a855c7caf4713d9c91ee1a586659f2bcfe5dc946b/webdataset-0.2.86-py3-none-any.whl (70 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 70.4/70.4 kB 1.7 MB/s eta 0:00:00 Collecting filelock (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ae/f0/48285f0262fe47103a4a45972ed2f9b93e4c80b8fd609fa98da78b2a5706/filelock-3.15.4-py3-none-any.whl (16 kB) Collecting typing-extensions>=4.8.0 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/26/9f/ad63fc0248c5379346306f8668cda6e2e2e9c95e01216d2b8ffd9ff037d0/typing_extensions-4.12.2-py3-none-any.whl (37 kB) Collecting sympy (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b2/fe/81695a1aa331a842b582453b605175f419fe8540355886031328089d840a/sympy-1.13.1-py3-none-any.whl (6.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.2/6.2 MB 2.7 MB/s eta 0:00:00 Collecting networkx (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a8/05/9d4f9b78ead6b2661d6e8ea772e111fc4a9fbd866ad0c81906c11206b55e/networkx-3.1-py3-none-any.whl (2.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 3.7 MB/s eta 0:00:00 Collecting jinja2 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/31/80/3a54838c3fb461f6fec263ebf3a3a41771bd05190238de3486aae8540c36/jinja2-3.1.4-py3-none-any.whl (133 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.3/133.3 kB 2.3 MB/s eta 0:00:00 Collecting fsspec (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/5e/44/73bea497ac69bafde2ee4269292fa3b41f1198f4bb7bbaaabde30ad29d4a/fsspec-2024.6.1-py3-none-any.whl (177 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 177.6/177.6 kB 213.5 kB/s eta 0:00:00 Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b6/9f/c64c03f49d6fbc56196664d05dba14e3a561038a81a638eeb47f4d4cfd48/nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 3.1 MB/s eta 0:00:00 Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/eb/d5/c68b1d2cdfcc59e72e8a5949a37ddb22ae6cade80cd4a57a84d4c8b55472/nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 823.6/823.6 kB 3.4 MB/s eta 0:00:00 Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/7e/00/6b218edd739ecfc60524e585ba8e6b00554dd908de2c9c66c1af3e44e18d/nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.1/14.1 MB 3.1 MB/s eta 0:00:00 Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 664.8/664.8 MB 3.2 MB/s eta 0:00:00 Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/37/6d/121efd7382d5b0284239f4ab1fc1590d86d34ed4a4a2fdb13b30ca8e5740/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 410.6/410.6 MB 1.0 MB/s eta 0:00:00 Collecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/86/94/eb540db023ce1d162e7bea9f8f5aa781d57c65aed513c33ee9a5123ead4d/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.6/121.6 MB 2.6 MB/s eta 0:00:00 Collecting nvidia-curand-cu12==10.3.2.106 (from torch==2.4.0->-r requirements.txt (line 3)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/44/31/4890b1c9abc496303412947fc7dcea3d14861720642b49e8ceed89636705/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB) 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Expected behavior / 期待表现

  • I fixed the typo and missing packags in requirements.txt, otherwise the installation process would raise error on opencv-python installation. You may refer to https://github.com/THUDM/CogVideo/pull/94 to see more details.
  • The gradio module depends on urllib3 2.2.2. However, botocore, which SwissArmyTransformer depends on, requires urllib3<1.27,>=1.25.4. Consequently, when directly running pip install -r requirements.txt statement, pip could not find a compatible botocore with gradio and exit the installation process.
  • As a result, I tried to remove the gradio line in requirements.txt, installed the rest of packages and pip install gradio in sequence. Still, the dependency conflicts exist (See below). But I ran the demo and it seems everything is okay (I've only tested gradio-demo and sat-inference).
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.
botocore 1.34.156 requires urllib3<1.27,>=1.25.4; python_version < "3.10", but you have urllib3 2.2.2 which is incompatible.
  • Maybe SwissArmyTransformer needs to be upgraded to resolve the dependency conflit.

CodeLyokoscj avatar Aug 08 '24 08:08 CodeLyokoscj