From bff1b6763721af5d298458359f45511a193a132f Mon Sep 17 00:00:00 2001 From: George Panchuk Date: Wed, 24 Apr 2024 11:52:05 +0200 Subject: [PATCH 1/9] new: add gpu support, allow users to override providers --- fastembed/common/onnx_model.py | 26 +- poetry.lock | 680 +++++++++++++++++---------------- pyproject.toml | 6 + 3 files changed, 378 insertions(+), 334 deletions(-) diff --git a/fastembed/common/onnx_model.py b/fastembed/common/onnx_model.py index 588b7bf5..a19b1f40 100644 --- a/fastembed/common/onnx_model.py +++ b/fastembed/common/onnx_model.py @@ -1,7 +1,19 @@ import os from multiprocessing import get_all_start_methods from pathlib import Path -from typing import Any, Dict, Generic, Iterable, List, Optional, Tuple, Type, TypeVar, Union +from typing import ( + Any, + Dict, + Generic, + Iterable, + List, + Optional, + Tuple, + Type, + TypeVar, + Union, + Sequence, +) import numpy as np import onnxruntime as ort @@ -39,11 +51,21 @@ def load_onnx_model( model_dir: Path, model_file: str, threads: Optional[int], + providers: Sequence[str | tuple[str, dict[Any, Any]]] | None = None, ) -> None: model_path = model_dir / model_file # List of Execution Providers: https://onnxruntime.ai/docs/execution-providers - onnx_providers = ["CPUExecutionProvider"] + + onnx_providers = ["CPUExecutionProvider"] if providers is None else list(providers) + available_providers = ort.get_available_providers() + for provider in onnx_providers: + # check providers available + provider_name = provider if isinstance(provider, str) else provider[0] + if provider_name not in available_providers: + raise ValueError( + f"Provider {provider_name} is not available. Available providers: {available_providers}" + ) so = ort.SessionOptions() so.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL diff --git a/poetry.lock b/poetry.lock index 157105bb..e7c60a5f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -597,13 +597,13 @@ files = [ [[package]] name = "exceptiongroup" -version = "1.2.0" +version = "1.2.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" files = [ - {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"}, - {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"}, + {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"}, + {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"}, ] 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+content-hash = "6327bc2981aedee20da8c9492b0500d206107d3de2dbea4604eb3d9f310eacf7" diff --git a/pyproject.toml b/pyproject.toml index 53a98f60..8946b47f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,6 +14,10 @@ keywords = ["vector", "embedding", "neural", "search", "qdrant", "sentence-trans python = ">=3.8.0,<3.13" onnx = "^1.15.0" onnxruntime = "^1.17.0" +onnxruntime-gpu = [ + { version = "^1.17.0", optional = true, python = "<3.13" } +] + tqdm = "^4.66" requests = "^2.31" tokenizers = "^0.15.1" @@ -37,6 +41,8 @@ pillow = "^10.2.0" cairosvg = "^2.7.1" mknotebooks = "^0.8.0" +[tool.poetry.extras] +gpu = ["onnxruntime-gpu"] [build-system] requires = ["poetry-core"] From 0d6801d96081fed2b8248906495e7623e2b3438c Mon Sep 17 00:00:00 2001 From: George Panchuk Date: Fri, 26 Apr 2024 17:42:23 +0200 Subject: [PATCH 2/9] fix: update poetry.lock --- poetry.lock | 288 ++++++++++++++++++++++++++++------------------------ 1 file changed, 153 insertions(+), 135 deletions(-) diff --git a/poetry.lock b/poetry.lock index e7c60a5f..3b3439bf 100644 --- a/poetry.lock +++ b/poetry.lock @@ -863,13 +863,13 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve [[package]] name = "identify" -version = "2.5.35" +version = "2.5.36" description = "File identification library for Python" optional = false python-versions = ">=3.8" files = [ - {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"}, - {file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"}, + {file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"}, + {file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"}, ] [package.extras] @@ -1264,13 +1264,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", 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"pytest-ruff (>=0.2.1)"] [extras] -onnxruntime-gpu = ["onnxruntime-gpu"] +gpu = ["onnxruntime-gpu"] [metadata] lock-version = "2.0" python-versions = ">=3.8.0,<3.13" -content-hash = "6327bc2981aedee20da8c9492b0500d206107d3de2dbea4604eb3d9f310eacf7" +content-hash = "181b22c77e7781d3a639bba3d510e23a3f7d20fa6ba7e493bb75bfd234a4ab1c" From 383e12c7604b0b40c350638d82b458ed40577859 Mon Sep 17 00:00:00 2001 From: George Panchuk Date: Fri, 26 Apr 2024 17:45:22 +0200 Subject: [PATCH 3/9] fix: fix type hint for 3.8 --- fastembed/common/onnx_model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/fastembed/common/onnx_model.py b/fastembed/common/onnx_model.py index a19b1f40..ab071935 100644 --- a/fastembed/common/onnx_model.py +++ b/fastembed/common/onnx_model.py @@ -51,7 +51,7 @@ def load_onnx_model( model_dir: Path, model_file: str, threads: Optional[int], - providers: Sequence[str | tuple[str, dict[Any, Any]]] | None = None, + providers: Optional[Sequence[Union[str, Tuple[str, Dict[Any, Any]]]]] = None, ) -> None: model_path = model_dir / model_file From 04e5d75c5be08a8d1f9236f6c9ae02e0081683f3 Mon Sep 17 00:00:00 2001 From: Nirant Kasliwal Date: Sun, 28 Apr 2024 11:54:26 +0530 Subject: [PATCH 4/9] [readme] Remove similar work --- README.md | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/README.md b/README.md index 8258d5fc..aad98de5 100644 --- a/README.md +++ b/README.md @@ -85,8 +85,4 @@ search_result = client.query( query_text="This is a query document" ) print(search_result) -``` - -#### Similar Work - -Ilyas M. wrote about using [FlagEmbeddings with Optimum](https://twitter.com/IlysMoutawwakil/status/1705215192425288017) over CUDA. +``` \ No newline at end of file From 123bec8c5656b64c1baa9cb9850c62afa7d6a96d Mon Sep 17 00:00:00 2001 From: Nirant Kasliwal Date: Sun, 28 Apr 2024 12:03:53 +0530 Subject: [PATCH 5/9] [README] Add GPU support for FastEmbed library --- README.md | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index aad98de5..d4fb8778 100644 --- a/README.md +++ b/README.md @@ -14,12 +14,18 @@ The default text embedding (`TextEmbedding`) model is Flag Embedding, presented ## 🚀 Installation -To install the FastEmbed library, pip works: +To install the FastEmbed library, pip works best. You can install it with or without GPU support: ```bash pip install fastembed ``` +### ⚡️ With GPU + +```bash +pip install fastembed[gpu] +``` + ## 📖 Quickstart ```python @@ -42,6 +48,14 @@ embeddings_list = list(embedding_model.embed(documents)) len(embeddings_list[0]) # Vector of 384 dimensions ``` +### ⚡️ FastEmbed on a GPU + +FastEmbed is designed to work on a CPU. If you want to use it on a GPU, you can use the `onnxruntime-gpu` package. + +```python +embedding_model = TextEmbedding(model_name="BAAI/bge-small-en-v1.5", device="cuda") +``` + ## Usage with Qdrant Installation with Qdrant Client in Python: From 0a4f312afd7b10658ed9e97692d06e845f65f846 Mon Sep 17 00:00:00 2001 From: Nirant Kasliwal Date: Sun, 28 Apr 2024 12:07:02 +0530 Subject: [PATCH 6/9] [README] Add device check --- README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index d4fb8778..2f9ac3eb 100644 --- a/README.md +++ b/README.md @@ -53,7 +53,13 @@ len(embeddings_list[0]) # Vector of 384 dimensions FastEmbed is designed to work on a CPU. If you want to use it on a GPU, you can use the `onnxruntime-gpu` package. ```python -embedding_model = TextEmbedding(model_name="BAAI/bge-small-en-v1.5", device="cuda") +# !pip install fastembed[gpu] on a GPU machine +import onnxruntime as ort +if "CUDAExecutionProvider" in ort.get_available_providers(): + embedding_model = TextEmbedding(model_name="BAAI/bge-small-en-v1.5", providers=["CUDAExecutionProvider"]) + print("The model BAAI/bge-small-en-v1.5 is ready to use on a GPU.") +else: + raise Exception(f"CUDAExecutionProvider for GPU is not available. Available providers: {ort.get_available_providers()}") ``` ## Usage with Qdrant From 6a8cb9783142ffe5339eb23240c7b48fedbf2071 Mon Sep 17 00:00:00 2001 From: George Panchuk Date: Wed, 1 May 2024 22:26:14 +0200 Subject: [PATCH 7/9] fix: revert changes to pyproject and lock, update readme --- README.md | 29 +- poetry.lock | 762 +++++++++++++++++++++++-------------------------- pyproject.toml | 6 - 3 files changed, 383 insertions(+), 414 deletions(-) diff --git a/README.md b/README.md index 4e68bbae..55274446 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ pip install fastembed ### ⚡️ With GPU ```bash -pip install fastembed[gpu] +pip install fastembed-gpu ``` ## 📖 Quickstart @@ -50,16 +50,19 @@ len(embeddings_list[0]) # Vector of 384 dimensions ### ⚡️ FastEmbed on a GPU -FastEmbed is designed to work on a CPU. If you want to use it on a GPU, you can use the `onnxruntime-gpu` package. +FastEmbed supports running on GPU devices. It requires installation of the `fastembed-gpu` package. +Make sure not to have the `fastembed` package installed, as it might interfere with the `fastembed-gpu` package. + +```bash +pip install fastembed-gpu +``` ```python -# !pip install fastembed[gpu] on a GPU machine -import onnxruntime as ort -if "CUDAExecutionProvider" in ort.get_available_providers(): - embedding_model = TextEmbedding(model_name="BAAI/bge-small-en-v1.5", providers=["CUDAExecutionProvider"]) - print("The model BAAI/bge-small-en-v1.5 is ready to use on a GPU.") -else: - raise Exception(f"CUDAExecutionProvider for GPU is not available. Available providers: {ort.get_available_providers()}") +from fastembed import TextEmbedding + +embedding_model = TextEmbedding(model_name="BAAI/bge-small-en-v1.5", providers=["CUDAExecutionProvider"]) +print("The model BAAI/bge-small-en-v1.5 is ready to use on a GPU.") + ``` ## Usage with Qdrant @@ -70,7 +73,13 @@ Installation with Qdrant Client in Python: pip install qdrant-client[fastembed] ``` -You might have to use ```pip install 'qdrant-client[fastembed]'``` on zsh. +or + +```bash +pip install qdrant-client[fastembed-gpu] +``` + +You might have to use quotes ```pip install 'qdrant-client[fastembed]'``` on zsh. ```python from qdrant_client import QdrantClient diff --git a/poetry.lock b/poetry.lock index 3b3439bf..343e2bfc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -597,13 +597,13 @@ files = [ [[package]] name = "exceptiongroup" -version = "1.2.1" +version = "1.2.0" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" files = [ - {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"}, - {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"}, + {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"}, + {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"}, ] [package.extras] @@ -639,13 +639,13 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc [[package]] name = "filelock" -version = "3.13.4" +version = "3.13.3" description = "A platform independent file lock." optional = false python-versions = ">=3.8" files = [ - {file = "filelock-3.13.4-py3-none-any.whl", hash = "sha256:404e5e9253aa60ad457cae1be07c0f0ca90a63931200a47d9b6a6af84fd7b45f"}, - {file = "filelock-3.13.4.tar.gz", hash = "sha256:d13f466618bfde72bd2c18255e269f72542c6e70e7bac83a0232d6b1cc5c8cf4"}, + {file = "filelock-3.13.3-py3-none-any.whl", hash = "sha256:5ffa845303983e7a0b7ae17636509bc97997d58afeafa72fb141a17b152284cb"}, + {file = "filelock-3.13.3.tar.gz", hash = "sha256:a79895a25bbefdf55d1a2a0a80968f7dbb28edcd6d4234a0afb3f37ecde4b546"}, ] [package.extras] @@ -743,21 +743,20 @@ smmap = ">=3.0.1,<6" [[package]] name = "gitpython" -version = "3.1.43" +version = "3.1.42" description = "GitPython is a Python library used to interact with Git repositories" optional = false python-versions = ">=3.7" files = [ - {file = "GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff"}, - {file = "GitPython-3.1.43.tar.gz", hash = "sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c"}, + {file = "GitPython-3.1.42-py3-none-any.whl", hash = "sha256:1bf9cd7c9e7255f77778ea54359e54ac22a72a5b51288c457c881057b7bb9ecd"}, + {file = 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= "2.5.35" description = "File identification library for Python" optional = false python-versions = ">=3.8" files = [ - {file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"}, - {file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"}, + {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"}, + {file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"}, ] [package.extras] @@ -1058,13 +1057,13 @@ i18n = ["Babel (>=2.7)"] [[package]] name = "json5" -version = "0.9.25" +version = "0.9.24" description = "A Python implementation of the JSON5 data format." optional = false python-versions = ">=3.8" files = [ - {file = "json5-0.9.25-py3-none-any.whl", hash = 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\"3.11\""} +tomli = {version = "*", markers = "python_version < \"3.11\""} tornado = ">=6.2.0" traitlets = "*" @@ -1295,7 +1294,6 @@ dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"] docs-screenshots = ["altair (==5.2.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.1)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post6)", "matplotlib (==3.8.2)", "nbconvert (>=7.0.0)", "pandas (==2.2.0)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"] test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] -upgrade-extension = ["copier (>=8.0,<9.0)", "jinja2-time (<0.3)", "pydantic (<2.0)", "pyyaml-include (<2.0)", "tomli-w 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"pydata-sphinx-theme", "sphinx"] -test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] +test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.1)", "pytest-mock", "pytest-mypy-testing"] [[package]] name = "types-python-dateutil" @@ -3291,13 +3260,13 @@ files = [ [[package]] name = "typing-extensions" -version = "4.11.0" +version = "4.10.0" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" files = [ - {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"}, - {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"}, + {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"}, + {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"}, ] [[package]] @@ -3333,13 +3302,13 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "virtualenv" -version = "20.26.0" +version = "20.25.1" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.7" files = [ - {file = "virtualenv-20.26.0-py3-none-any.whl", hash = "sha256:0846377ea76e818daaa3e00a4365c018bc3ac9760cbb3544de542885aad61fb3"}, - {file = "virtualenv-20.26.0.tar.gz", hash = "sha256:ec25a9671a5102c8d2657f62792a27b48f016664c6873f6beed3800008577210"}, + {file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"}, + {file = "virtualenv-20.25.1.tar.gz", hash = "sha256:e08e13ecdca7a0bd53798f356d5831434afa5b07b93f0abdf0797b7a06ffe197"}, ] [package.dependencies] @@ -3348,7 +3317,7 @@ filelock = ">=3.12.2,<4" platformdirs = ">=3.9.1,<5" [package.extras] -docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] [[package]] @@ -3431,17 +3400,17 @@ files = [ [[package]] name = "websocket-client" -version = "1.8.0" +version = "1.7.0" description = "WebSocket client for Python with low level API options" optional = false python-versions = ">=3.8" files = [ - {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, - {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"}, + {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"}, + {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"}, ] [package.extras] -docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"] +docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"] optional = ["python-socks", "wsaccel"] test = ["websockets"] @@ -3474,10 +3443,7 @@ files = [ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] -[extras] -gpu = ["onnxruntime-gpu"] - [metadata] lock-version = "2.0" python-versions = ">=3.8.0,<3.13" -content-hash = "181b22c77e7781d3a639bba3d510e23a3f7d20fa6ba7e493bb75bfd234a4ab1c" +content-hash = "b71c2e05a840cee62f4d1a11c0377e93d735f473e13f684246c021e01c5368c3" \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 8946b47f..53a98f60 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,10 +14,6 @@ keywords = ["vector", "embedding", "neural", "search", "qdrant", "sentence-trans python = ">=3.8.0,<3.13" onnx = "^1.15.0" onnxruntime = "^1.17.0" -onnxruntime-gpu = [ - { version = "^1.17.0", optional = true, python = "<3.13" } -] - tqdm = "^4.66" requests = "^2.31" tokenizers = "^0.15.1" @@ -41,8 +37,6 @@ pillow = "^10.2.0" cairosvg = "^2.7.1" mknotebooks = "^0.8.0" -[tool.poetry.extras] -gpu = ["onnxruntime-gpu"] [build-system] requires = ["poetry-core"] From 32a878439a934eeec4188af23be15535d5df77c1 Mon Sep 17 00:00:00 2001 From: George Date: Wed, 1 May 2024 22:27:30 +0200 Subject: [PATCH 8/9] Update poetry.lock --- poetry.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 343e2bfc..157105bb 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3446,4 +3446,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.8.0,<3.13" -content-hash = "b71c2e05a840cee62f4d1a11c0377e93d735f473e13f684246c021e01c5368c3" \ No newline at end of file +content-hash = "b71c2e05a840cee62f4d1a11c0377e93d735f473e13f684246c021e01c5368c3" From 555c9e9e16925543a52b01bdaa7f429cd8261d08 Mon Sep 17 00:00:00 2001 From: George Panchuk Date: Thu, 2 May 2024 20:53:10 +0200 Subject: [PATCH 9/9] new: add type alias for providers, add explicit providers to embeddings --- fastembed/common/__init__.py | 3 +++ fastembed/common/onnx_model.py | 4 +++- fastembed/sparse/sparse_text_embedding.py | 8 ++++++-- fastembed/sparse/splade_pp.py | 6 ++++-- fastembed/text/onnx_embedding.py | 6 ++++-- fastembed/text/text_embedding.py | 8 ++++++-- 6 files changed, 26 insertions(+), 9 deletions(-) diff --git a/fastembed/common/__init__.py b/fastembed/common/__init__.py index e69de29b..06e249f0 100644 --- a/fastembed/common/__init__.py +++ b/fastembed/common/__init__.py @@ -0,0 +1,3 @@ +from fastembed.common.onnx_model import OnnxProvider + +__all__ = ["OnnxProvider"] diff --git a/fastembed/common/onnx_model.py b/fastembed/common/onnx_model.py index ab071935..5ce48719 100644 --- a/fastembed/common/onnx_model.py +++ b/fastembed/common/onnx_model.py @@ -26,6 +26,8 @@ # Holds type of the embedding result T = TypeVar("T") +OnnxProvider = Union[str, Tuple[str, Dict[Any, Any]]] + class OnnxModel(Generic[T]): @classmethod @@ -51,7 +53,7 @@ def load_onnx_model( model_dir: Path, model_file: str, threads: Optional[int], - providers: Optional[Sequence[Union[str, Tuple[str, Dict[Any, Any]]]]] = None, + providers: Optional[Sequence[OnnxProvider]] = None, ) -> None: model_path = model_dir / model_file diff --git a/fastembed/sparse/sparse_text_embedding.py b/fastembed/sparse/sparse_text_embedding.py index aa838ee8..f55f7c56 100644 --- a/fastembed/sparse/sparse_text_embedding.py +++ b/fastembed/sparse/sparse_text_embedding.py @@ -1,5 +1,6 @@ -from typing import List, Type, Dict, Any, Union, Iterable, Optional +from typing import List, Type, Dict, Any, Union, Iterable, Optional, Sequence +from fastembed.common import OnnxProvider from fastembed.sparse.sparse_embedding_base import SparseTextEmbeddingBase, SparseEmbedding from fastembed.sparse.splade_pp import SpladePP @@ -42,6 +43,7 @@ def __init__( model_name: str, cache_dir: Optional[str] = None, threads: Optional[int] = None, + providers: Optional[Sequence[OnnxProvider]] = None, **kwargs, ): super().__init__(model_name, cache_dir, threads, **kwargs) @@ -49,7 +51,9 @@ def __init__( for EMBEDDING_MODEL_TYPE in self.EMBEDDINGS_REGISTRY: supported_models = EMBEDDING_MODEL_TYPE.list_supported_models() if any(model_name.lower() == model["model"].lower() for model in supported_models): - self.model = EMBEDDING_MODEL_TYPE(model_name, cache_dir, threads, **kwargs) + self.model = EMBEDDING_MODEL_TYPE( + model_name, cache_dir, threads, providers=providers, **kwargs + ) return raise ValueError( diff --git a/fastembed/sparse/splade_pp.py b/fastembed/sparse/splade_pp.py index f59114ca..cfb130c1 100644 --- a/fastembed/sparse/splade_pp.py +++ b/fastembed/sparse/splade_pp.py @@ -1,8 +1,8 @@ -from typing import Any, Dict, Iterable, List, Optional, Tuple, Union, Type +from typing import Any, Dict, Iterable, List, Optional, Tuple, Union, Type, Sequence import numpy as np -from fastembed.common.onnx_model import EmbeddingWorker, OnnxModel +from fastembed.common.onnx_model import EmbeddingWorker, OnnxModel, OnnxProvider from fastembed.common.utils import define_cache_dir from fastembed.sparse.sparse_embedding_base import SparseEmbedding, SparseTextEmbeddingBase @@ -63,6 +63,7 @@ def __init__( model_name: str, cache_dir: Optional[str] = None, threads: Optional[int] = None, + providers: Optional[Sequence[OnnxProvider]] = None, **kwargs, ): """ @@ -88,6 +89,7 @@ def __init__( model_dir=model_dir, model_file=model_description["model_file"], threads=threads, + providers=providers, ) def embed( diff --git a/fastembed/text/onnx_embedding.py b/fastembed/text/onnx_embedding.py index 059cce20..f2ae46fc 100644 --- a/fastembed/text/onnx_embedding.py +++ b/fastembed/text/onnx_embedding.py @@ -1,8 +1,8 @@ -from typing import Dict, Optional, Tuple, Union, Iterable, Type, List, Any +from typing import Dict, Optional, Tuple, Union, Iterable, Type, List, Any, Sequence import numpy as np -from fastembed.common.onnx_model import OnnxModel, EmbeddingWorker +from fastembed.common.onnx_model import OnnxModel, EmbeddingWorker, OnnxProvider from fastembed.common.models import normalize from fastembed.common.utils import define_cache_dir from fastembed.text.text_embedding_base import TextEmbeddingBase @@ -211,6 +211,7 @@ def __init__( model_name: str = "BAAI/bge-small-en-v1.5", cache_dir: Optional[str] = None, threads: Optional[int] = None, + providers: Optional[Sequence[OnnxProvider]] = None, **kwargs, ): """ @@ -235,6 +236,7 @@ def __init__( model_dir=model_dir, model_file=model_description["model_file"], threads=threads, + providers=providers, ) def embed( diff --git a/fastembed/text/text_embedding.py b/fastembed/text/text_embedding.py index 10b43625..d9923b3d 100644 --- a/fastembed/text/text_embedding.py +++ b/fastembed/text/text_embedding.py @@ -1,7 +1,8 @@ -from typing import Any, Dict, Iterable, List, Optional, Type, Union +from typing import Any, Dict, Iterable, List, Optional, Type, Union, Sequence import numpy as np +from fastembed.common import OnnxProvider from fastembed.text.e5_onnx_embedding import E5OnnxEmbedding from fastembed.text.jina_onnx_embedding import JinaOnnxEmbedding from fastembed.text.onnx_embedding import OnnxTextEmbedding @@ -49,6 +50,7 @@ def __init__( model_name: str = "BAAI/bge-small-en-v1.5", cache_dir: Optional[str] = None, threads: Optional[int] = None, + providers: Optional[Sequence[OnnxProvider]] = None, **kwargs, ): super().__init__(model_name, cache_dir, threads, **kwargs) @@ -56,7 +58,9 @@ def __init__( for EMBEDDING_MODEL_TYPE in self.EMBEDDINGS_REGISTRY: supported_models = EMBEDDING_MODEL_TYPE.list_supported_models() if any(model_name.lower() == model["model"].lower() for model in supported_models): - self.model = EMBEDDING_MODEL_TYPE(model_name, cache_dir, threads, **kwargs) + self.model = EMBEDDING_MODEL_TYPE( + model_name, cache_dir, threads, providers=providers, **kwargs + ) return raise ValueError(