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h2oai / h2ogpt

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
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running h2ogpt on Macbook M1 error #1792

Closed a-ml closed 2 months ago

a-ml commented 3 months ago

Hello,

I've installed H2O on Macbook M1, when installing the dependencies I'm receiving the error bellow.

Ignoring torch: markers 'sys_platform != "darwin" and platform_machine != "arm64"' don't match your environment
Collecting InstructorEmbedding@ https://h2o-release.s3.amazonaws.com/h2ogpt/InstructorEmbedding-1.0.1-py3-none-any.whl (from -r reqs_optional/requirements_optional_langchain.txt (line 23))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/InstructorEmbedding-1.0.1-py3-none-any.whl (20 kB)
Collecting sentence_transformers_old@ https://h2o-release.s3.amazonaws.com/h2ogpt/sentence_transformers_old-2.2.2-py3-none-any.whl (from -r reqs_optional/requirements_optional_langchain.txt (line 26))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/sentence_transformers_old-2.2.2-py3-none-any.whl (125 kB)
Collecting llava@ https://h2o-release.s3.amazonaws.com/h2ogpt/llava-1.7.0.dev0-py3-none-any.whl (from -r reqs_optional/requirements_optional_langchain.txt (line 41))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/llava-1.7.0.dev0-py3-none-any.whl (87 kB)
Ignoring jq: markers 'platform_machine == "x86_64"' don't match your environment
ERROR: Cannot install torch==2.2.1 because these package versions have conflicting dependencies.

The conflict is caused by:
    The user requested torch==2.2.1
    The user requested (constraint) torch==2.3.1

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip to attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts

I don't know if this error is impediment to run the application which I'm trying with the command bellow:

python generate.py --base_model=llama --model_path_llama=https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-Q6_K_L.gguf?download=true --tokenizer_base_model=meta-llama/Meta-Llama-3.1-8B-Instruct --max_seq_len=8192

When trying to run I've this error:

soundfile, librosa, and wavio not installed, disabling STT
soundfile, librosa, and wavio not installed, disabling TTS
Using Model llama
Traceback (most recent call last):
  File "/Users/kapenge/Laboratories/_ai/frameworks/h2ogpt/generate.py", line 20, in <module>
    entrypoint_main()
  File "/Users/kapenge/Laboratories/_ai/frameworks/h2ogpt/generate.py", line 16, in entrypoint_main
    H2O_Fire(main)
  File "/Users/kapenge/Laboratories/_ai/frameworks/h2ogpt/src/utils.py", line 77, in H2O_Fire
    fire.Fire(component=component, command=args)
  File "/Users/kapenge/miniconda3/envs/h2ogpt/lib/python3.10/site-packages/fire/core.py", line 141, in Fire
    component_trace = _Fire(component, args, parsed_flag_args, context, name)
  File "/Users/kapenge/miniconda3/envs/h2ogpt/lib/python3.10/site-packages/fire/core.py", line 475, in _Fire
    component, remaining_args = _CallAndUpdateTrace(
  File "/Users/kapenge/miniconda3/envs/h2ogpt/lib/python3.10/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
    component = fn(*varargs, **kwargs)
  File "/Users/kapenge/Laboratories/_ai/frameworks/h2ogpt/src/gen.py", line 2013, in main
    from gpt_langchain import get_embedding
  File "/Users/kapenge/Laboratories/_ai/frameworks/h2ogpt/src/gpt_langchain.py", line 48, in <module>
    from langchain_core.language_models.llms import aget_prompts, aupdate_cache
ImportError: cannot import name 'aget_prompts' from 'langchain_core.language_models.llms' (/Users/kapenge/miniconda3/envs/h2ogpt/lib/python3.10/site-packages/langchain_core/language_models/llms.py)

Any hint?

pseudotensor commented 3 months ago

I have these constraints:

image

I'm unclear why the constraint works (says has to be 2.3.1 for MAC) but the requirements.txt (that uses same constraint) thinks it needs to use 2.2.1.

Can you give more complete logs of the install?

a-ml commented 3 months ago

I've deleted the env and I'm trying recreate it again... I'll update

a-ml commented 3 months ago

I've created a brand-new conda environment, tried to follow the instructions and I got the same error.

Here complete install logs

❯ conda activate h2ogpt
❯ pip uninstall -y pandoc pypandoc pypandoc-binary
WARNING: Skipping pandoc as it is not installed.
WARNING: Skipping pypandoc as it is not installed.
WARNING: Skipping pypandoc-binary as it is not installed.
❯ pip install --upgrade pip
Requirement already satisfied: pip in /Users/kapenge/miniconda3/envs/h2ogpt/lib/python3.10/site-packages (24.0)
Collecting pip
  Using cached pip-24.2-py3-none-any.whl.metadata (3.6 kB)
Using cached pip-24.2-py3-none-any.whl (1.8 MB)
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 24.0
    Uninstalling pip-24.0:
      Successfully uninstalled pip-24.0
Successfully installed pip-24.2
❯ python -m pip install --upgrade setuptools
Requirement already satisfied: setuptools in /Users/kapenge/miniconda3/envs/h2ogpt/lib/python3.10/site-packages (72.1.0)
❯ pip install -r requirements.txt --extra-index https://download.pytorch.org/whl/cpu -c reqs_optional/reqs_constraints.txt
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cpu
Collecting gradio@ https://h2o-release.s3.amazonaws.com/h2ogpt/gradio-4.26.0-py3-none-any.whl (from -r requirements.txt (line 8))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/gradio-4.26.0-py3-none-any.whl (17.3 MB)
Collecting gradio_client@ https://h2o-release.s3.amazonaws.com/h2ogpt/gradio_client-0.15.1-py3-none-any.whl (from -r requirements.txt (line 9))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/gradio_client-0.15.1-py3-none-any.whl (313 kB)
Ignoring torch: markers 'sys_platform != "darwin" and platform_machine != "arm64"' don't match your environment
Ignoring bitsandbytes: markers 'sys_platform != "darwin" and platform_machine != "arm64"' don't match your environment
Ignoring pypandoc_binary: markers 'platform_machine == "x86_64"' don't match your environment
Ignoring pypandoc_binary: markers 'platform_system == "Windows"' don't match your environment
Ignoring python-magic-bin: markers 'platform_system == "Windows"' don't match your environment
Collecting InstructorEmbedding@ https://h2o-release.s3.amazonaws.com/h2ogpt/InstructorEmbedding-1.0.1-py3-none-any.whl (from -r requirements.txt (line 74))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/InstructorEmbedding-1.0.1-py3-none-any.whl (20 kB)
Collecting sentence_transformers_old@ https://h2o-release.s3.amazonaws.com/h2ogpt/sentence_transformers_old-2.2.2-py3-none-any.whl (from -r requirements.txt (line 75))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/sentence_transformers_old-2.2.2-py3-none-any.whl (125 kB)
Collecting gunicorn (from -r requirements.txt (line 12))
  Using cached gunicorn-22.0.0-py3-none-any.whl.metadata (4.4 kB)
Collecting fastapi-utils (from -r requirements.txt (line 13))
  Using cached fastapi_utils-0.7.0-py3-none-any.whl.metadata (5.4 kB)
Collecting sse_starlette>=1.8.2 (from -r requirements.txt (line 14))
  Downloading sse_starlette-2.1.3-py3-none-any.whl.metadata (5.8 kB)
Collecting huggingface_hub>=0.23.3 (from -r requirements.txt (line 16))
  Using cached huggingface_hub-0.24.5-py3-none-any.whl.metadata (13 kB)
Collecting appdirs>=1.4.4 (from -r requirements.txt (line 17))
  Using cached appdirs-1.4.4-py2.py3-none-any.whl.metadata (9.0 kB)
Collecting fire>=0.5.0 (from -r requirements.txt (line 18))
  Downloading fire-0.6.0.tar.gz (88 kB)
  Preparing metadata (setup.py) ... done
Collecting docutils>=0.20.1 (from -r requirements.txt (line 19))
  Downloading docutils-0.21.2-py3-none-any.whl.metadata (2.8 kB)
Collecting torch==2.3.1 (from -r requirements.txt (line 21))
  Using cached https://download.pytorch.org/whl/cpu/torch-2.3.1-cp310-none-macosx_11_0_arm64.whl (61.0 MB)
Collecting evaluate>=0.4.0 (from -r requirements.txt (line 22))
  Downloading evaluate-0.4.2-py3-none-any.whl.metadata (9.3 kB)
Collecting rouge_score>=0.1.2 (from -r requirements.txt (line 23))
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Collecting sacrebleu>=2.3.1 (from -r requirements.txt (line 24))
  Downloading sacrebleu-2.4.2-py3-none-any.whl.metadata (58 kB)
Collecting scikit-learn>=1.2.2 (from -r requirements.txt (line 25))
  Downloading scikit_learn-1.5.1-cp310-cp310-macosx_12_0_arm64.whl.metadata (12 kB)
Collecting numpy<2.0,>=1.23.4 (from -r requirements.txt (line 29))
  Downloading numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl.metadata (61 kB)
Collecting pandas>=2.0.2 (from -r requirements.txt (line 30))
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Collecting matplotlib>=3.7.1 (from -r requirements.txt (line 31))
  Downloading matplotlib-3.9.1.post1-cp310-cp310-macosx_11_0_arm64.whl.metadata (11 kB)
Collecting loralib>=0.1.2 (from -r requirements.txt (line 34))
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Collecting bitsandbytes==0.42.0 (from -r requirements.txt (line 37))
  Using cached bitsandbytes-0.42.0-py3-none-any.whl.metadata (9.9 kB)
Collecting accelerate>=0.30.1 (from -r requirements.txt (line 38))
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Collecting peft>=0.7.0 (from -r requirements.txt (line 39))
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Collecting transformers>=4.43.2 (from -r requirements.txt (line 40))
  Using cached transformers-4.44.0-py3-none-any.whl.metadata (43 kB)
Collecting jinja2>=3.1.0 (from -r requirements.txt (line 41))
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Collecting tokenizers>=0.19.0 (from -r requirements.txt (line 42))
  Using cached tokenizers-0.20.0-cp310-cp310-macosx_11_0_arm64.whl.metadata (6.7 kB)
Collecting hf_transfer>=0.1.6 (from -r requirements.txt (line 43))
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Collecting optimum>=1.17.1 (from -r requirements.txt (line 44))
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Collecting datasets>=2.18.0 (from -r requirements.txt (line 45))
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Collecting sentencepiece>=0.2.0 (from -r requirements.txt (line 46))
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Collecting APScheduler>=3.10.1 (from -r requirements.txt (line 48))
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Collecting pynvml>=11.5.0 (from -r requirements.txt (line 51))
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Collecting psutil>=5.9.5 (from -r requirements.txt (line 52))
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Collecting boto3>=1.26.101 (from -r requirements.txt (line 53))
  Downloading boto3-1.34.158-py3-none-any.whl.metadata (6.6 kB)
Collecting botocore>=1.29.101 (from -r requirements.txt (line 54))
  Downloading botocore-1.34.158-py3-none-any.whl.metadata (5.7 kB)
Collecting beautifulsoup4>=4.12.2 (from -r requirements.txt (line 55))
  Using cached beautifulsoup4-4.12.3-py3-none-any.whl.metadata (3.8 kB)
Collecting markdown>=3.4.3 (from -r requirements.txt (line 56))
  Downloading Markdown-3.6-py3-none-any.whl.metadata (7.0 kB)
Collecting pytest>=7.2.2 (from -r requirements.txt (line 59))
  Downloading pytest-8.3.2-py3-none-any.whl.metadata (7.5 kB)
Collecting pytest-xdist>=3.2.1 (from -r requirements.txt (line 60))
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Collecting nltk>=3.8.1 (from -r requirements.txt (line 61))
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Collecting textstat>=0.7.3 (from -r requirements.txt (line 62))
  Downloading textstat-0.7.4-py3-none-any.whl.metadata (14 kB)
Collecting pypandoc>=1.11 (from -r requirements.txt (line 64))
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Collecting openpyxl>=3.1.2 (from -r requirements.txt (line 68))
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Collecting bioc>=2.0 (from -r requirements.txt (line 70))
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Collecting sentence_transformers>=3.0.1 (from -r requirements.txt (line 73))
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Collecting einops>=0.6.1 (from -r requirements.txt (line 78))
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Collecting python-dotenv>=1.0.0 (from -r requirements.txt (line 81))
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Collecting text-generation>=0.7.0 (from -r requirements.txt (line 85))
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Collecting openai>=1.40.1 (from -r requirements.txt (line 91))
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Collecting requests>=2.31.0 (from -r requirements.txt (line 93))
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Collecting httpx>=0.24.1 (from -r requirements.txt (line 94))
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Collecting urllib3>=1.26.16 (from -r requirements.txt (line 95))
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Collecting packaging>=23.1 (from -r requirements.txt (line 100))
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Collecting uvicorn[standard] (from -r requirements.txt (line 11))
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Collecting typing-extensions>=4.8.0 (from torch==2.3.1->-r requirements.txt (line 21))
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Collecting sympy (from torch==2.3.1->-r requirements.txt (line 21))
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Collecting aiofiles<24.0,>=22.0 (from gradio@ https://h2o-release.s3.amazonaws.com/h2ogpt/gradio-4.26.0-py3-none-any.whl->-r requirements.txt (line 8))
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Collecting altair<6.0,>=4.2.0 (from gradio@ https://h2o-release.s3.amazonaws.com/h2ogpt/gradio-4.26.0-py3-none-any.whl->-r requirements.txt (line 8))
  Using cached altair-5.3.0-py3-none-any.whl.metadata (9.2 kB)
Collecting fastapi (from gradio@ https://h2o-release.s3.amazonaws.com/h2ogpt/gradio-4.26.0-py3-none-any.whl->-r requirements.txt (line 8))
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Collecting ffmpy (from gradio@ https://h2o-release.s3.amazonaws.com/h2ogpt/gradio-4.26.0-py3-none-any.whl->-r requirements.txt (line 8))
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Collecting importlib-resources<7.0,>=1.3 (from gradio@ https://h2o-release.s3.amazonaws.com/h2ogpt/gradio-4.26.0-py3-none-any.whl->-r requirements.txt (line 8))
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  Downloading https://download.pytorch.org/whl/MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl (18 kB)
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Collecting pillow<11.0,>=8.0 (from gradio@ https://h2o-release.s3.amazonaws.com/h2ogpt/gradio-4.26.0-py3-none-any.whl->-r requirements.txt (line 8))
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Building wheels for collected packages: fire, docopt
  Building wheel for fire (setup.py) ... done
  Created wheel for fire: filename=fire-0.6.0-py2.py3-none-any.whl size=117030 sha256=7185a126050d4222c7b567a05444f5ee59c01d506a821f71e871b44a7d189e18
  Stored in directory: /Users/kapenge/Library/Caches/pip/wheels/d6/6d/5d/5b73fa0f46d01a793713f8859201361e9e581ced8c75e5c6a3
  Building wheel for docopt (setup.py) ... done
  Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl size=13705 sha256=be75b6164fc47568d338658282162b0ee172034cd5ecb69285c9e7a743845da3
  Stored in directory: /Users/kapenge/Library/Caches/pip/wheels/fc/ab/d4/5da2067ac95b36618c629a5f93f809425700506f72c9732fac
Successfully built fire docopt
Installing collected packages: sortedcontainers, sentencepiece, pytz, pydub, mpmath, InstructorEmbedding, docopt, appdirs, zstandard, xxhash, websockets, uvloop, urllib3, ujson, tzlocal, tzdata, typing-extensions, tqdm, toolz, tomlkit, tomli, threadpoolctl, termcolor, tabulate, sympy, soupsieve, sniffio, six, shellingham, semantic-version, safetensors, ruff, rpds-py, regex, pyyaml, python-multipart, python-dotenv, pyphen, pyparsing, pypandoc, pynvml, pygments, pyarrow-hotfix, psutil, protobuf, portalocker, pluggy, pillow, packaging, orjson, numpy, networkx, multidict, mdurl, markupsafe, markdown, lxml, loralib, kiwisolver, json_repair, joblib, jmespath, jiter, intervaltree, iniconfig, importlib-resources, idna, humanfriendly, httptools, hf_transfer, h11, fsspec, frozenlist, fonttools, filelock, ffmpy, execnet, exceptiongroup, et-xmlfile, einops, docutils, distro, dill, cycler, colorama, click, charset-normalizer, certifi, attrs, async-timeout, annotated-types, aiohappyeyeballs, aiofiles, absl-py, yarl, uvicorn, textstat, scipy, sacrebleu, requests, referencing, python-dateutil, pytest, pydantic-core, pyarrow, openpyxl, nltk, multiprocess, markdown-it-py, jsonlines, jinja2, httpcore, gunicorn, fire, contourpy, coloredlogs, beautifulsoup4, APScheduler, anyio, aiosignal, watchfiles, torch, tiktoken, starlette, scikit-learn, rouge_score, rich, pytest-xdist, pydantic, pandas, matplotlib, lm_dataformat, jsonschema-specifications, huggingface_hub, httpx, botocore, bitsandbytes, bioc, aiohttp, typer, torchvision, tokenizers, text-generation, sse_starlette, s3transfer, openai, jsonschema, gradio_client, fastapi, accelerate, transformers, fastapi-utils, datasets, boto3, altair, sentence_transformers_old, sentence_transformers, peft, gradio, evaluate, optimum
Successfully installed APScheduler-3.10.4 InstructorEmbedding-1.0.1 absl-py-2.1.0 accelerate-0.33.0 aiofiles-23.2.1 aiohappyeyeballs-2.3.5 aiohttp-3.10.2 aiosignal-1.3.1 altair-5.3.0 annotated-types-0.7.0 anyio-4.4.0 appdirs-1.4.4 async-timeout-4.0.3 attrs-24.2.0 beautifulsoup4-4.12.3 bioc-2.1 bitsandbytes-0.42.0 boto3-1.34.158 botocore-1.34.158 certifi-2024.7.4 charset-normalizer-3.3.2 click-8.1.7 colorama-0.4.6 coloredlogs-15.0.1 contourpy-1.2.1 cycler-0.12.1 datasets-2.20.0 dill-0.3.8 distro-1.9.0 docopt-0.6.2 docutils-0.21.2 einops-0.8.0 et-xmlfile-1.1.0 evaluate-0.4.2 exceptiongroup-1.2.2 execnet-2.1.1 fastapi-0.112.0 fastapi-utils-0.7.0 ffmpy-0.4.0 filelock-3.15.4 fire-0.6.0 fonttools-4.53.1 frozenlist-1.4.1 fsspec-2024.5.0 gradio-4.26.0 gradio_client-0.15.1 gunicorn-22.0.0 h11-0.14.0 hf_transfer-0.1.8 httpcore-1.0.5 httptools-0.6.1 httpx-0.27.0 huggingface_hub-0.24.5 humanfriendly-10.0 idna-3.7 importlib-resources-6.4.0 iniconfig-2.0.0 intervaltree-3.1.0 jinja2-3.1.4 jiter-0.5.0 jmespath-1.0.1 joblib-1.4.2 json_repair-0.27.0 jsonlines-4.0.0 jsonschema-4.23.0 jsonschema-specifications-2023.12.1 kiwisolver-1.4.5 lm_dataformat-0.0.20 loralib-0.1.2 lxml-5.2.2 markdown-3.6 markdown-it-py-3.0.0 markupsafe-2.1.5 matplotlib-3.9.1.post1 mdurl-0.1.2 mpmath-1.3.0 multidict-6.0.5 multiprocess-0.70.16 networkx-3.3 nltk-3.8.1 numpy-1.26.4 openai-1.40.2 openpyxl-3.1.5 optimum-1.21.3 orjson-3.10.6 packaging-24.1 pandas-2.2.2 peft-0.12.0 pillow-10.4.0 pluggy-1.5.0 portalocker-2.10.1 protobuf-5.27.3 psutil-5.9.8 pyarrow-17.0.0 pyarrow-hotfix-0.6 pydantic-2.7.0 pydantic-core-2.18.1 pydub-0.25.1 pygments-2.18.0 pynvml-11.5.3 pypandoc-1.13 pyparsing-3.1.2 pyphen-0.16.0 pytest-8.3.2 pytest-xdist-3.6.1 python-dateutil-2.9.0.post0 python-dotenv-1.0.1 python-multipart-0.0.9 pytz-2024.1 pyyaml-6.0.2 referencing-0.35.1 regex-2024.7.24 requests-2.32.3 rich-13.7.1 rouge_score-0.1.2 rpds-py-0.20.0 ruff-0.5.7 s3transfer-0.10.2 sacrebleu-2.4.2 safetensors-0.4.4 scikit-learn-1.5.1 scipy-1.14.0 semantic-version-2.10.0 sentence_transformers-3.0.1 sentence_transformers_old-2.2.2 sentencepiece-0.2.0 shellingham-1.5.4 six-1.16.0 sniffio-1.3.1 sortedcontainers-2.4.0 soupsieve-2.5 sse_starlette-2.1.3 starlette-0.37.2 sympy-1.13.1 tabulate-0.9.0 termcolor-2.4.0 text-generation-0.7.0 textstat-0.7.4 threadpoolctl-3.5.0 tiktoken-0.7.0 tokenizers-0.19.1 tomli-2.0.1 tomlkit-0.12.0 toolz-0.12.1 torch-2.3.1 torchvision-0.18.1 tqdm-4.66.5 transformers-4.43.4 typer-0.12.3 typing-extensions-4.12.2 tzdata-2024.1 tzlocal-5.2 ujson-5.10.0 urllib3-2.2.2 uvicorn-0.30.5 uvloop-0.19.0 watchfiles-0.23.0 websockets-11.0.3 xxhash-3.4.1 yarl-1.9.4 zstandard-0.23.0
❯
❯
❯ pip install -r reqs_optional/requirements_optional_langchain.txt -c reqs_optional/reqs_constraints.txt
Ignoring torch: markers 'sys_platform != "darwin" and platform_machine != "arm64"' don't match your environment
Collecting InstructorEmbedding@ https://h2o-release.s3.amazonaws.com/h2ogpt/InstructorEmbedding-1.0.1-py3-none-any.whl (from -r reqs_optional/requirements_optional_langchain.txt (line 23))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/InstructorEmbedding-1.0.1-py3-none-any.whl (20 kB)
Collecting sentence_transformers_old@ https://h2o-release.s3.amazonaws.com/h2ogpt/sentence_transformers_old-2.2.2-py3-none-any.whl (from -r reqs_optional/requirements_optional_langchain.txt (line 26))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/sentence_transformers_old-2.2.2-py3-none-any.whl (125 kB)
Collecting llava@ https://h2o-release.s3.amazonaws.com/h2ogpt/llava-1.7.0.dev0-py3-none-any.whl (from -r reqs_optional/requirements_optional_langchain.txt (line 41))
  Using cached https://h2o-release.s3.amazonaws.com/h2ogpt/llava-1.7.0.dev0-py3-none-any.whl (87 kB)
Ignoring jq: markers 'platform_machine == "x86_64"' don't match your environment
ERROR: Cannot install torch==2.2.1 because these package versions have conflicting dependencies.

The conflict is caused by:
    The user requested torch==2.2.1
    The user requested (constraint) torch==2.3.1

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip to attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
a-ml commented 3 months ago

Tried the container option with no luck at all, at this moment.

changed this part of the build as the document suggest.

# if building for CPU, would remove CMAKE_ARGS and avoid GPU image as base image
# Choose llama_cpp_python ARGS for your system according to [llama_cpp_python backend documentation](https://github.com/abetlen/llama-cpp-python?tab=readme-ov-file#supported-backends), e.g. for CUDA:
# export GGML_CUDA=1
# export CMAKE_ARGS="-DGGML_CUDA=on -DCMAKE_CUDA_ARCHITECTURES=all"
# for Metal MAC M1/M2 comment out above two lines and uncomment out the below line
export CMAKE_ARGS="-DLLAMA_METAL=on"
export FORCE_CMAKE=1

Build Error

❯ docker build -t h2ogpt .
[+] Building 2.4s (9/13)                                                                                                                             docker:desktop-linux
 => [internal] load build definition from Dockerfile                                                                                                                 0.0s
 => => transferring dockerfile: 1.15kB                                                                                                                               0.0s
 => [internal] load metadata for docker.io/nvidia/cuda:12.1.1-cudnn8-devel-ubuntu20.04                                                                               2.3s
 => [internal] load .dockerignore                                                                                                                                    0.0s
 => => transferring context: 236B                                                                                                                                    0.0s
 => CANCELED [1/9] FROM docker.io/nvidia/cuda:12.1.1-cudnn8-devel-ubuntu20.04@sha256:db71d4ff90d59028b6d364df7400ea65601d673b96a49cf81e7cda85cf7cbc31                0.0s
 => => resolve docker.io/nvidia/cuda:12.1.1-cudnn8-devel-ubuntu20.04@sha256:db71d4ff90d59028b6d364df7400ea65601d673b96a49cf81e7cda85cf7cbc31                         0.0s
 => => sha256:f68369b047ebfe2343393aae2a6996206e0bacf574c543685bebd92f55f59267 16.34kB / 16.34kB                                                                     0.0s
 => => sha256:db71d4ff90d59028b6d364df7400ea65601d673b96a49cf81e7cda85cf7cbc31 743B / 743B                                                                           0.0s
 => => sha256:9f8fb265f5a9d3188a0d3ad13288b06edaf7e89a7dc2aaa89b732a1e57071627 2.84kB / 2.84kB                                                                       0.0s
 => [internal] load build context                                                                                                                                    0.0s
 => => transferring context: 38.15kB                                                                                                                                 0.0s
 => CACHED [2/9] WORKDIR /workspace                                                                                                                                  0.0s
 => CACHED [3/9] COPY . /workspace/                                                                                                                                  0.0s
 => CACHED [4/9] COPY build_info.txt /workspace/                                                                                                                     0.0s
 => ERROR [5/9] COPY git_hash.txt /workspace/                                                                                                                        0.0s
------
 > [5/9] COPY git_hash.txt /workspace/:
------
Dockerfile:21
--------------------
  19 |     COPY build_info.txt /workspace/
  20 |
  21 | >>> COPY git_hash.txt /workspace/
  22 |
  23 |     RUN cd /workspace && ./docker_build_script_ubuntu.sh
--------------------
ERROR: failed to solve: failed to compute cache key: failed to calculate checksum of ref 238fd63f-a388-4d60-8789-00a308c0d7e5::wla783xpjl7r6j5p8rnu2xnmi: "/git_hash.txt": not found

View build details: docker-desktop://dashboard/build/desktop-linux/desktop-linux/v6r8wk5ry197rqvzd39h4hh4y
pseudotensor commented 3 months ago

git_hash.txt comes from the Makefile step.

make git_hash.txt build_info.txt

i.e. one would do:

make docker_build

But I agree needing Makefile is bad. @achraf-mer can we avoid so Dockerfile builds on its own?

pseudotensor commented 3 months ago

I removed it's need here: 282aec97e9a8f3dc4b513f33afb00e187ae857ec

a-ml commented 3 months ago

The Docker Build ends with this error. Should I change the Miniconda image?

266.6 2024-08-10 14:26:56 (2.84 MB/s) - 'Miniconda3-latest-Linux-x86_64.sh' saved [146836934/146836934]
266.6
266.6 + mkdir -p /h2ogpt_conda
266.6 + bash ./Miniconda3-latest-Linux-x86_64.sh -b -u -p /h2ogpt_conda
266.6 PREFIX=/h2ogpt_conda
267.0 Unpacking payload ...
267.0 rosetta error: failed to open elf at /lib64/ld-linux-x86-64.so.2
267.0  ./Miniconda3-latest-Linux-x86_64.sh: line 442:  8661 Exit 141                extract_range $boundary1 $boundary2
267.0       8662 Trace/breakpoint trap   | CONDA_QUIET="$BATCH" "$CONDA_EXEC" constructor --extract-tarball --prefix "$PREFIX"
267.0 + export CMAKE_ARGS=-DLLAMA_METAL=on
267.0 + CMAKE_ARGS=-DLLAMA_METAL=on
267.0 + export FORCE_CMAKE=1
267.0 + FORCE_CMAKE=1
267.0 + bash docs/linux_install.sh
267.0 + shopt -s expand_aliases
267.0 + test -f /usr/bin/sudo
267.0 + echo 'No sudo'
267.0 + alias 'sudo= '
267.0 No sudo
267.0 + [[ -z '' ]]
267.0 + conda install weasyprint pygobject -c conda-forge -y
267.0 docs/linux_install.sh: line 15: conda: command not found
------
Dockerfile:21
--------------------
  19 |     COPY build_info.txt /workspace/
  20 |
  21 | >>> RUN cd /workspace && ./docker_build_script_ubuntu.sh
  22 |
  23 |     RUN chmod -R a+rwx /workspace
--------------------
ERROR: failed to solve: process "/bin/sh -c cd /workspace && ./docker_build_script_ubuntu.sh" did not complete successfully: exit code: 127
pseudotensor commented 2 months ago

To build the docker image for MAC, I expect some changes may be required, I'm unsure. Thanks for the feedback.

a-ml commented 2 months ago

I was abe to get it successfully installed. Instead of running the line bellow:

pip install -r reqs_optional/requirements_optional_langchain.txt -c reqs_optional/reqs_constraints.txt

I installed the langchain requirements by running the reqs_optional/requirements_optional_langchain.txt