torch version

poetry.lock

@@ -251,6 +251,20 @@ files = [
     {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
 ]
 
+[[package]]
+name = "intel-openmp"
+version = "2021.4.0"
+description = "Intel OpenMP* Runtime Library"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "itsdangerous"
 version = "2.1.2"
@@ -359,6 +373,24 @@ files = [
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 ]
 
+[[package]]
+name = "mkl"
+version = "2021.4.0"
+description = "Intel® oneAPI Math Kernel Library"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+intel-openmp = "==2021.*"
+tbb = "==2021.*"
+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -378,21 +410,21 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "networkx"
-version = "3.1"
+version = "3.2.1"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
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-developer = ["mypy (>=1.1)", "pre-commit (>=3.2)"]
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-extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.10)", "sympy (>=1.10)"]
-test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
+default = ["matplotlib (>=3.5)", "numpy (>=1.22)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"]
+developer = ["changelist (==0.4)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
+doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"]
+extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.11)", "sympy (>=1.10)"]
+test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
 name = "numpy"
@@ -522,6 +554,92 @@ sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-d
 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.9.2)"]
 
+[[package]]
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+version = "10.3.0"
+description = "Python Imaging Library (Fork)"
+optional = false
+python-versions = ">=3.8"
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+    {file = "pillow-10.3.0.tar.gz", hash = "sha256:9d2455fbf44c914840c793e89aa82d0e1763a14253a000743719ae5946814b2d"},
+]
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
+
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"
@@ -822,17 +940,30 @@ files = [
 
 [[package]]
 name = "sympy"
-version = "1.12"
+version = "1.12.1"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
-    {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
+    {file = "sympy-1.12.1-py3-none-any.whl", hash = "sha256:9b2cbc7f1a640289430e13d2a56f02f867a1da0190f2f99d8968c2f74da0e515"},
+    {file = "sympy-1.12.1.tar.gz", hash = "sha256:2877b03f998cd8c08f07cd0de5b767119cd3ef40d09f41c30d722f6686b0fb88"},
 ]
 
 [package.dependencies]
-mpmath = ">=0.19"
+mpmath = ">=1.1.0,<1.4.0"
+
+[[package]]
+name = "tbb"
+version = "2021.13.0"
+description = "Intel® oneAPI Threading Building Blocks (oneTBB)"
+optional = false
+python-versions = "*"
+files = [
+    {file = "tbb-2021.13.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:a2567725329639519d46d92a2634cf61e76601dac2f777a05686fea546c4fe4f"},
+    {file = "tbb-2021.13.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:aaf667e92849adb012b8874d6393282afc318aca4407fc62f912ee30a22da46a"},
+    {file = "tbb-2021.13.0-py3-none-win32.whl", hash = "sha256:6669d26703e9943f6164c6407bd4a237a45007e79b8d3832fe6999576eaaa9ef"},
+    {file = "tbb-2021.13.0-py3-none-win_amd64.whl", hash = "sha256:3528a53e4bbe64b07a6112b4c5a00ff3c61924ee46c9c68e004a1ac7ad1f09c3"},
+]
 
 [[package]]
 name = "threadpoolctl"
@@ -901,27 +1032,72 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
 [[package]]
 name = "torch"
-version = "2.0.1+cpu.cxx11.abi"
+version = "2.3.1+cpu"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "torch-2.0.1+cpu.cxx11.abi-cp38-cp38-linux_x86_64.whl", hash = "sha256:fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"},
+    {file = "torch-2.3.1+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:d679e21d871982b9234444331a26350902cfd2d5ca44ce6f49896af8b3a3087d"},
+    {file = "torch-2.3.1+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:500bf790afc2fd374a15d06213242e517afccc50a46ea5955d321a9a68003335"},
+    {file = "torch-2.3.1+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:a272defe305dbd944aa28a91cc3db0f0149495b3ebec2e39723a7224fa05dc57"},
+    {file = "torch-2.3.1+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:d2965eb54d3c8818e2280a54bd53e8246a6bb34e4b10bd19c59f35b611dd9f05"},
+    {file = "torch-2.3.1+cpu-cp312-cp312-linux_x86_64.whl", hash = "sha256:2141a6cb7021adf2f92a0fd372cfeac524ba460bd39ce3a641d30a561e41f69a"},
+    {file = "torch-2.3.1+cpu-cp312-cp312-win_amd64.whl", hash = "sha256:6acdca2530462611095c44fd95af75ecd5b9646eac813452fe0adf31a9bc310a"},
+    {file = "torch-2.3.1+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:cab92d5101e6db686c5525e04d87cedbcf3a556073d71d07fbe7d1ce09630ffb"},
+    {file = "torch-2.3.1+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:dbc784569a367fd425158cf4ae82057dd3011185ba5fc68440432ba0562cb5b2"},
+    {file = "torch-2.3.1+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:a3cb8e61ba311cee1bb7463cbdcf3ebdfd071e2091e74c5785e3687eb02819f9"},
+    {file = "torch-2.3.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:df68668056e62c0332e03f43d9da5d4278b39df1ba58d30ec20d34242070955d"},
 ]
 
 [package.dependencies]
 filelock = "*"
+fsspec = "*"
 jinja2 = "*"
+mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""}
 networkx = "*"
 sympy = "*"
-typing-extensions = "*"
+typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
+optree = ["optree (>=0.9.1)"]
+
+[package.source]
+type = "legacy"
+url = "https://download.pytorch.org/whl/cpu"
+reference = "pytorch_cpu"
+
+[[package]]
+name = "torchvision"
+version = "0.18.1+cpu"
+description = "image and video datasets and models for torch deep learning"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "torchvision-0.18.1+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:2ae9d4e4e11bc43c7ee6c7c7e87b1e6adf5503ad0710e59cd86bc7b1a342d75a"},
+    {file = "torchvision-0.18.1+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:eb7375cc96c53d2ffd98be5906f2e4cd7e304c88fd3406d334d5b7ae91511665"},
+    {file = "torchvision-0.18.1+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:2c4d6b5c054e5b31d9b23da5c8d70f271307515c2a9f3a234823213bb5997b13"},
+    {file = "torchvision-0.18.1+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:a002db2ef1137f5eff2b03843ad5cd1514ee09b9eaa5765f19cd03bced036f35"},
+    {file = "torchvision-0.18.1+cpu-cp312-cp312-linux_x86_64.whl", hash = "sha256:e234971d465e8ce481a2718375d9f0797b4381c2d79bb1a546a5f28e26620629"},
+    {file = "torchvision-0.18.1+cpu-cp312-cp312-win_amd64.whl", hash = "sha256:39b9e63cb11ca3dba2ef0a05e000d7d196f66e7be641a5fc48d4ed6c93d898e7"},
+    {file = "torchvision-0.18.1+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:0712fb8c5261488afbb859b8107f97309c9d80cb2fe595293b8ec453537dd042"},
+    {file = "torchvision-0.18.1+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:96bfae7087dbdaee6b486814e1ec9689f69a83451ef495f14cdf2024af00819b"},
+    {file = "torchvision-0.18.1+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:56563d0cae75ec2d7052417a481777a070038f85f9cd1421a90039aaa9feb2b7"},
+    {file = "torchvision-0.18.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:3dd65867b5efc7741fb90d390139f192089ce59f9fce399c275e809cb85de6de"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
+torch = "2.3.1"
+
+[package.extras]
+scipy = ["scipy"]
 
 [package.source]
-type = "url"
-url = "https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.0.1%2Bcpu.cxx11.abi-cp38-cp38-linux_x86_64.whl#sha256=fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"
+type = "legacy"
+url = "https://download.pytorch.org/whl/cpu"
+reference = "pytorch_cpu"
 
 [[package]]
 name = "tqdm"
@@ -1097,4 +1273,4 @@ scikit-learn = ["scikit-learn"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "6a849f1d84f420de55ee25844893805317668aac2f8420b65caac9d7edd30e60"
+content-hash = "34c85a6e00d048e25ccbaa934efcaeb027210fd3e3dcfa59801436d0eacd4350"

pyproject.toml

@@ -11,13 +11,19 @@ transformers = "4.29.2"
 flask = "2.0.3"
 xgboost = "1.7.6"
 werkzeug = "2.2.2"
-torch = {url = "https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.0.1%2Bcpu.cxx11.abi-cp38-cp38-linux_x86_64.whl#sha256=fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"}
 numpy = "1.26.3"
 pandas = "2.2.0"
 tqdm = "4.66.1"
+torch = {version = "^2.3.1+cpu", source = "pytorch_cpu"}
+torchvision = {version = "^0.18.1+cpu", source = "pytorch_cpu"}
 
 [tool.poetry.dev-dependencies]
 
+[[tool.poetry.source]]
+name = "pytorch_cpu"
+url = "https://download.pytorch.org/whl/cpu"
+priority = "explicit"
+
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"