From 4a595c2e2dab67740f9b233604aa81129564a733 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 23 Sep 2024 23:53:31 +0100 Subject: [PATCH] build(deps-dev): bump pytorch-lightning from 2.3.1 to 2.4.0 (#1900) --- poetry.lock | 19 +++++++++---------- pyproject.toml | 2 +- 2 files changed, 10 insertions(+), 11 deletions(-) diff --git a/poetry.lock b/poetry.lock index 6d62aeca7..3a4173dc2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -5620,34 +5620,33 @@ unidecode = ["Unidecode (>=1.1.1)"] [[package]] name = "pytorch-lightning" -version = "2.3.1" +version = "2.4.0" description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate." optional = false python-versions = ">=3.8" files = [ - {file = "pytorch-lightning-2.3.1.tar.gz", hash = "sha256:8cfcc585fdf6570add34cf2cf4cabc3984d0e2d8b4cee52226485b61d3b8366d"}, - {file = "pytorch_lightning-2.3.1-py3-none-any.whl", hash = "sha256:19a6aa7f800f721240e46aa80e3f9ae0b5a13baf65f04028b2e8f231e20e6426"}, + {file = "pytorch-lightning-2.4.0.tar.gz", hash = "sha256:6aa897fd9d6dfa7b7b49f37c2f04e13592861831d08deae584dfda423fdb71c8"}, + {file = "pytorch_lightning-2.4.0-py3-none-any.whl", hash = "sha256:9ac7935229ac022ef06994c928217ed37f525ac6700f7d4fc57009624570e655"}, ] [package.dependencies] fsspec = {version = ">=2022.5.0", extras = ["http"]} lightning-utilities = ">=0.10.0" -numpy = ">=1.17.2" packaging = ">=20.0" PyYAML = ">=5.4" -torch = ">=2.0.0" +torch = ">=2.1.0" torchmetrics = ">=0.7.0" tqdm = ">=4.57.0" typing-extensions = ">=4.4.0" [package.extras] -all = ["bitsandbytes (>=0.42.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "requests (<2.32.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.15.0)"] +all = ["bitsandbytes (>=0.42.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "requests (<2.32.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"] deepspeed = ["deepspeed (>=0.8.2,<=0.9.3)"] -dev = ["bitsandbytes (>=0.42.0)", "cloudpickle (>=1.3)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "onnx (>=0.14.0)", "onnxruntime (>=0.15.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<2.32.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.15.0)", "uvicorn"] -examples = ["ipython[all] (<8.15.0)", "lightning-utilities (>=0.8.0)", "requests (<2.32.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.15.0)"] +dev = ["bitsandbytes (>=0.42.0)", "cloudpickle (>=1.3)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "numpy (>=1.17.2)", "omegaconf (>=2.2.3)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<2.32.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)", "uvicorn"] +examples = ["ipython[all] (<8.15.0)", "lightning-utilities (>=0.8.0)", "requests (<2.32.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"] extra = ["bitsandbytes (>=0.42.0)", "hydra-core (>=1.2.0)", "jsonargparse[signatures] (>=4.27.7)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"] strategies = ["deepspeed (>=0.8.2,<=0.9.3)"] -test = ["cloudpickle (>=1.3)", "coverage (==7.3.1)", "fastapi", "onnx (>=0.14.0)", "onnxruntime (>=0.15.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"] +test = ["cloudpickle (>=1.3)", "coverage (==7.3.1)", "fastapi", "numpy (>=1.17.2)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"] [[package]] name = "pytz" @@ -8628,4 +8627,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.12" -content-hash = "e7c7cb8792c21f7c9f64454b4711f8e47e572a9cd9dc333adf922a5d3d5e1313" +content-hash = "66b4a08945a67c8f2920954a7a105a93fe5172fc99b46caa9a758dbc1afb6c91" diff --git a/pyproject.toml b/pyproject.toml index 8d7cabf26..fa3c129eb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -137,7 +137,7 @@ types-requests = ">=2.28.11.5,<2.32.0.0" ## Dev dependencies from MLflow torch = "2.2.1" -pytorch-lightning = "2.3.1" +pytorch-lightning = "2.4.0" torchmetrics = "1.4.0.post0" torchvision = "0.17.1" mlflow = "2.13.1"