Can not install to macOS

FreeBlues commented 1 year ago

error log:

(fsbang) ppt@pptdeMacBook-Pro Fengshenbang-LM % pip install -e .
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Obtaining file:///Users/ppt/Github/Fengshenbang-LM
  Preparing metadata (setup.py) ... done
Requirement already satisfied: transformers>=4.17.0 in /Users/ppt/miniconda/envs/fsbang/lib/python3.9/site-packages (from fengshen==0.0.1) (4.23.1)
Requirement already satisfied: datasets>=2.0.0 in /Users/ppt/miniconda/envs/fsbang/lib/python3.9/site-packages (from fengshen==0.0.1) (2.6.1)
Requirement already satisfied: pytorch_lightning>=1.5.10 in /Users/ppt/miniconda/envs/fsbang/lib/python3.9/site-packages (from fengshen==0.0.1) (1.7.7)
Collecting deepspeed==0.5.10
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8e/2c/c899ebb4b5c9b36d76f6bf527cee385869b3de23816b34ab9a2f6ab7afcc/deepspeed-0.5.10.tar.gz (515 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [20 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/private/var/folders/9g/fb4nqfxs7vdgr9gsldg83dgw0000gn/T/pip-install-ejq24w8q/deepspeed_7dad7f884ad74b338479176806040179/setup.py", line 94, in <module>
          os.environ["TORCH_CUDA_ARCH_LIST"] = get_default_compute_capabilities()
        File "/private/var/folders/9g/fb4nqfxs7vdgr9gsldg83dgw0000gn/T/pip-install-ejq24w8q/deepspeed_7dad7f884ad74b338479176806040179/op_builder/builder.py", line 55, in get_default_compute_capabilities
          if torch.utils.cpp_extension.CUDA_HOME is not None and installed_cuda_version(
        File "/private/var/folders/9g/fb4nqfxs7vdgr9gsldg83dgw0000gn/T/pip-install-ejq24w8q/deepspeed_7dad7f884ad74b338479176806040179/op_builder/builder.py", line 40, in installed_cuda_version
          output = subprocess.check_output([cuda_home + "/bin/nvcc",
        File "/Users/ppt/miniconda/envs/fsbang/lib/python3.9/subprocess.py", line 424, in check_output
          return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
        File "/Users/ppt/miniconda/envs/fsbang/lib/python3.9/subprocess.py", line 505, in run
          with Popen(*popenargs, **kwargs) as process:
        File "/Users/ppt/miniconda/envs/fsbang/lib/python3.9/subprocess.py", line 951, in __init__
          self._execute_child(args, executable, preexec_fn, close_fds,
        File "/Users/ppt/miniconda/envs/fsbang/lib/python3.9/subprocess.py", line 1821, in _execute_child
          raise child_exception_type(errno_num, err_msg, err_filename)
      FileNotFoundError: [Errno 2] No such file or directory: '/usr/local/cuda/bin/nvcc'
      No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
      [WARNING] Torch did not find cuda available, if cross-compiling or running with cpu only you can ignore this message. Adding compute capability for Pascal, Volta, and Turing (compute capabilities 6.0, 6.1, 6.2)
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
(fsbang) ppt@pptdeMacBook-Pro Fengshenbang-LM %

FreeBlues commented 1 year ago

@ganzhiruyi @GGGGGGXY It is my fault, I tried to used an invokeai Conda env to install it, and conflict. When I try to create a clean Conda env, it is OK!

I use this file test.py to test, the command is:

python3 test.py

the test.py is:

from diffusers import StableDiffusionPipeline

import torch

if torch.cuda.is_available():
    device = "cuda"
elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
    device = "mps"
else:
    device = "cpu"

pipe = StableDiffusionPipeline.from_pretrained("IDEA-CCNL/Taiyi-Stable-Diffusion-1B-Chinese-v0.1").to(device)

prompt = '飞流直下三千尺，油画'
image = pipe(prompt, guidance_scale=7.5, ddim_steps = 10).images[0]  
image.save("飞流.png")

The run log is:

(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % python3 test.py
Fetching 14 files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 14/14 [00:24<00:00,  1.77s/it]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 51/51 [17:02<00:00, 20.06s/it]
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM %

The image is:

Btw. the module diffusers need install manually with this line:

pip3 install diffusers

All the installation log:

(fsbang) ppt@pptdeMacBook-Pro Github % cd Fengshenbang-LM 
(fsbang) ppt@pptdeMacBook-Pro Fengshenbang-LM % conda deactivate
(base) ppt@pptdeMacBook-Pro Fengshenbang-LM % conda create -n fsbclean
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /Users/ppt/miniconda/envs/fsbclean

Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate fsbclean
#
# To deactivate an active environment, use
#
#     $ conda deactivate

Retrieving notices: ...working... done
(base) ppt@pptdeMacBook-Pro Fengshenbang-LM % conda activate fsbclean
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % ls
LICENSE             README_en.md            fengshen            install_fengshenbang_env.md setup.py
README.md           environment-mac.yml     install.sh          pics                src
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % pip install --editable .
zsh: command not found: pip
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % pip3 install --editable .
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Obtaining file:///Users/ppt/Github/Fengshenbang-LM
  Preparing metadata (setup.py) ... done
Collecting transformers>=4.17.0
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a4/df/3248eac2923ceffdf55686ff318e002b558e7c51f6a909dd870cf3185949/transformers-4.24.0-py3-none-any.whl (5.5 MB)
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Collecting datasets>=2.0.0
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Collecting pytorch_lightning>=1.5.10
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/5c/6d/4719a089c57d55800ab820b4f157a354cc6f5db0d10356d53038150fd7b3/pytorch_lightning-1.8.0-py3-none-any.whl (795 kB)
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Collecting deepspeed==0.5.10
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8e/2c/c899ebb4b5c9b36d76f6bf527cee385869b3de23816b34ab9a2f6ab7afcc/deepspeed-0.5.10.tar.gz (515 kB)
  Preparing metadata (setup.py) ... done
Collecting jieba-fast>=0.53
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Collecting jieba>=0.40.0
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Collecting hjson
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Collecting packaging
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Collecting py-cpuinfo
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Collecting torch
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Collecting pyyaml>=5.1
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Collecting requests>=2.19.0
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Collecting pyarrow>=6.0.0
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Building wheels for collected packages: deepspeed, jieba, jieba-fast, fire
  Building wheel for deepspeed (setup.py) ... done
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Successfully built deepspeed jieba jieba-fast fire
Installing collected packages: tokenizers, tensorboard-plugin-wit, pytz, pyasn1, py-cpuinfo, ninja, jieba-fast, jieba, hjson, xxhash, urllib3, typing-extensions, tqdm, termcolor, tensorboard-data-server, six, rsa, regex, pyyaml, pyparsing, pyasn1-modules, psutil, protobuf, oauthlib, numpy, multidict, MarkupSafe, markdown, idna, fsspec, frozenlist, dill, charset-normalizer, certifi, cachetools, attrs, async-timeout, absl-py, yarl, werkzeug, torch, requests, python-dateutil, pyarrow, packaging, multiprocess, grpcio, google-auth, fire, aiosignal, torchmetrics, responses, requests-oauthlib, pandas, lightning-utilities, huggingface-hub, deepspeed, aiohttp, transformers, google-auth-oauthlib, tensorboard, lightning-lite, datasets, pytorch_lightning, fengshen
  Running setup.py develop for fengshen
Successfully installed MarkupSafe-2.1.1 absl-py-1.3.0 aiohttp-3.8.3 aiosignal-1.2.0 async-timeout-4.0.2 attrs-22.1.0 cachetools-5.2.0 certifi-2022.9.24 charset-normalizer-2.1.1 datasets-2.6.1 deepspeed-0.5.10 dill-0.3.5.1 fengshen-0.0.1 fire-0.4.0 frozenlist-1.3.1 fsspec-2022.10.0 google-auth-2.14.0 google-auth-oauthlib-0.4.6 grpcio-1.50.0 hjson-3.1.0 huggingface-hub-0.10.1 idna-3.4 jieba-0.42.1 jieba-fast-0.53 lightning-lite-1.8.0 lightning-utilities-0.3.0 markdown-3.4.1 multidict-6.0.2 multiprocess-0.70.13 ninja-1.10.2.4 numpy-1.23.4 oauthlib-3.2.2 packaging-21.3 pandas-1.5.1 protobuf-3.19.6 psutil-5.9.3 py-cpuinfo-9.0.0 pyarrow-10.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pyparsing-3.0.9 python-dateutil-2.8.2 pytorch_lightning-1.8.0 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 responses-0.18.0 rsa-4.9 six-1.16.0 tensorboard-2.10.1 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 termcolor-2.1.0 tokenizers-0.13.1 torch-1.13.0 torchmetrics-0.10.2 tqdm-4.64.1 transformers-4.24.0 typing-extensions-4.4.0 urllib3-1.26.12 werkzeug-2.2.2 xxhash-3.1.0 yarl-1.8.1

[notice] A new release of pip available: 22.2.2 -> 22.3
[notice] To update, run: python3.10 -m pip install --upgrade pip
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % python3.10 -m pip install --upgrade pip
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: pip in /usr/local/lib/python3.10/site-packages (22.2.2)
Collecting pip
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Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 22.2.2
    Uninstalling pip-22.2.2:
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Successfully installed pip-22.3
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % 

(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % python3 test.py
Traceback (most recent call last):
  File "/Users/ppt/Github/Fengshenbang-LM/test.py", line 1, in <module>
    from diffusers import StableDiffusionPipeline
ModuleNotFoundError: No module named 'diffusers'
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % pip install diffusers
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting diffusers
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Collecting Pillow<10.0
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Installing collected packages: zipp, Pillow, importlib-metadata, diffusers
Successfully installed Pillow-9.3.0 diffusers-0.6.0 importlib-metadata-5.0.0 zipp-3.10.0
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Fetching 14 files: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 14/14 [27:47<00:00, 119.10s/it]
Traceback (most recent call last):
  File "/Users/ppt/Github/Fengshenbang-LM/test.py", line 3, in <module>
    pipe = StableDiffusionPipeline.from_pretrained("IDEA-CCNL/Taiyi-Stable-Diffusion-1B-Chinese-v0.1").to("cuda")
  File "/usr/local/lib/python3.10/site-packages/diffusers/pipeline_utils.py", line 199, in to
    module.to(torch_device)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 987, in to
    return self._apply(convert)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 639, in _apply
    module._apply(fn)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 639, in _apply
    module._apply(fn)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 639, in _apply
    module._apply(fn)
  [Previous line repeated 1 more time]
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 662, in _apply
    param_applied = fn(param)
  File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 985, in convert
    return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
  File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 221, in _lazy_init
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % python3 test.py
Fetching 14 files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 14/14 [00:00<00:00, 2247.92it/s]
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(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM % ls
LICENSE             environment-mac.yml     install.sh          setup.py            飞流.png
README.md           fengshen            install_fengshenbang_env.md src
README_en.md            fengshen.egg-info       pics                test.py
(fsbclean) ppt@pptdeMacBook-Pro Fengshenbang-LM %

Peineng commented 1 year ago

This is so helpful, many thanks!

IDEA-CCNL / Fengshenbang-LM

Can not install to macOS #177