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timestamp: 1686575231103 + - python >=3.8 + license: MIT + license_family: MIT + purls: + - pkg:pypi/zipp + size: 18954 + timestamp: 1695255262261 - kind: conda name: zstd version: 1.5.5 @@ -6831,19 +7579,3 @@ packages: license_family: BSD size: 400508 timestamp: 1693151393180 -- kind: conda - name: zstd - version: 1.5.5 - build: hfc55251_0 - subdir: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.5-hfc55251_0.conda - sha256: 607cbeb1a533be98ba96cf5cdf0ddbb101c78019f1fda063261871dad6248609 - md5: 04b88013080254850d6c01ed54810589 - depends: - - libgcc-ng >=12 - - libstdcxx-ng >=12 - - libzlib >=1.2.13,<1.3.0a0 - license: BSD-3-Clause - license_family: BSD - size: 545199 - timestamp: 1693151163452 diff --git a/pixi.toml b/pixi.toml index 0a8c4db..7ee6040 100644 --- a/pixi.toml +++ b/pixi.toml @@ -3,7 +3,7 @@ name = "sklearn-ragger-duck" version = "0.0.1.dev0" description = "Ragger Duck is a RAG for the scikit-learn documentation." authors = ["Guillaume Lemaitre "] -channels = ["pytorch", "huggingface", "conda-forge"] +channels = ["conda-forge", "pytorch"] platforms = ["linux-64", "osx-64", "osx-arm64"] license = "BSD-3-Clause" homepage = "https://github.com/glemaitre/sklearn-ragger-duck" @@ -14,12 +14,13 @@ build-doc = { cmd = "make html", cwd = "doc" } test = { cmd = "pytest -vsl --cov=ragger_duck --cov-report term-missing ragger_duck" } [dependencies] +python = "*" # Dependencies for training retrievers and inference with models beautifulsoup4 = "*" joblib = "*" langchain = "*" numpydoc = "*" -scikit-learn = "1.3.2" +scikit-learn = "*" # Dependencies for the web app fastapi = "*" uvicorn = "*" @@ -31,35 +32,27 @@ sphinx = "*" pytest = "*" pytest-cov = "*" +# MPS-specfic configuration [feature.mps] platforms = ["osx-arm64"] -channels = ["pytorch", "huggingface", "conda-forge"] + +[feature.mps.activation] +# set environment variable for building llmama-cpp via pip +scripts = ["build_scripts/osx-arm64-activate.sh"] [feature.mps.dependencies] -faiss-cpu = "1.8.0" -llama-cpp-python = "0.2.20" -pytorch = "2.2.0" -sentence-transformers = "2.3.1" +faiss-cpu = { version = "1.8.0", channel = "pytorch" } +libfaiss = { version = "1.8.0", channel = "pytorch" } +pytorch = { version = "2.2.1", channel = "pytorch" } +torchvision = { version = "*", channel = "pytorch" } +sentence-transformers = "2.6.0" + +[feature.mps.pypi-dependencies] +llama-cpp-python = "==0.2.24" [feature.mps.tasks] start-ragger-duck = { cmd = "DEVICE=mps uvicorn main:app --reload --host 0.0.0.0 --port 8123", cwd = "app" } train-retrievers = { cmd = "DEVICE=mps python train_retrievers.py", cwd = "scripts" } -[feature.cpu] -platforms = ["linux-64"] -channels = ["pytorch", "huggingface", "conda-forge"] - -[feature.cpu.dependencies] -faiss-cpu = "1.8.0" -llama-cpp-python = "0.2.20" -cpuonly = "*" -pytorch = "2.2.0" -sentence-transformers = "==2.3.1" - -[feature.cpu.tasks] -start-ragger-duck = { cmd = "DEVICE=cpu uvicorn main:app --reload --host 0.0.0.0 --port 8123", cwd = "app" } -train-retrievers = { cmd = "DEVICE=cpu python train_retrievers.py", cwd = "scripts" } - [environments] -cpu = ["cpu"] mps = ["mps"]