From 46fdc5919d68f9304771ff5a89a7f803f4500896 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 2 Oct 2023 06:11:25 +0000 Subject: [PATCH] bump pytorch-lightning from 2.0.7 to 2.0.9.post0 --- updated-dependencies: - dependency-name: pytorch-lightning dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] --- poetry.lock | 18 +++++++++--------- pyproject.toml | 2 +- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/poetry.lock b/poetry.lock index b877026a4..688e31a8f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -5360,13 +5360,13 @@ unidecode = ["Unidecode (>=1.1.1)"] [[package]] name = "pytorch-lightning" -version = "2.0.7" +version = "2.0.9.post0" 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-2.0.7.tar.gz", hash = "sha256:4e6bc1e1f7b0c69016ea2fe0616b18fa62bd3d8661c7ff02c11d317746cfc5f5"}, - {file = "pytorch_lightning-2.0.7-py3-none-any.whl", hash = "sha256:720add0c42d8eb042f371a77581feb2796429cffbe635156e9343775e9e5ba35"}, + {file = "pytorch-lightning-2.0.9.post0.tar.gz", hash = "sha256:435b22e3b3ef7d64131bb8e3fb00bbfeb16d2fae33c78b5ee54058dee1948a26"}, + {file = "pytorch_lightning-2.0.9.post0-py3-none-any.whl", hash = "sha256:adef569cd84053889b7bbf566be7506385170b4e82401bedfd6bcadf3aba557a"}, ] [package.dependencies] @@ -5381,13 +5381,13 @@ tqdm = ">=4.57.0" typing-extensions = ">=4.0.0" [package.extras] -all = ["deepspeed (>=0.8.2)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.14.1)", "jsonargparse[signatures] (>=4.18.0,<4.23.0)", "lightning-utilities (>=0.7.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)"] +all = ["deepspeed (>=0.8.2)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.18.0,<4.25.0)", "lightning-utilities (>=0.7.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)"] deepspeed = ["deepspeed (>=0.8.2)"] -dev = ["cloudpickle (>=1.3)", "coverage (==7.2.7)", "deepspeed (>=0.8.2)", "fastapi (<0.100.0)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.14.1)", "jsonargparse[signatures] (>=4.18.0,<4.23.0)", "lightning-utilities (>=0.7.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnx (<1.15.0)", "onnxruntime (<1.16.0)", "pandas (>1.0)", "protobuf (<=3.20.1)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)", "uvicorn (<0.23.3)"] -examples = ["gym[classic-control] (>=0.17.0)", "ipython[all] (<8.14.1)", "lightning-utilities (>=0.7.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)"] -extra = ["hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.18.0,<4.23.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"] +dev = ["cloudpickle (>=1.3)", "coverage (==7.3.0)", "deepspeed (>=0.8.2)", "fastapi (<0.100.0)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.18.0,<4.25.0)", "lightning-utilities (>=0.7.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnx (<1.15.0)", "onnxruntime (<1.16.0)", "pandas (>1.0)", "protobuf (<3.21.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)", "uvicorn (<0.23.3)"] +examples = ["gym[classic-control] (>=0.17.0)", "ipython[all] (<8.15.0)", "lightning-utilities (>=0.7.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)"] +extra = ["hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.18.0,<4.25.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"] strategies = ["deepspeed (>=0.8.2)"] -test = ["cloudpickle (>=1.3)", "coverage (==7.2.7)", "fastapi (<0.100.0)", "onnx (<1.15.0)", "onnxruntime (<1.16.0)", "pandas (>1.0)", "protobuf (<=3.20.1)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn (<0.23.3)"] +test = ["cloudpickle (>=1.3)", "coverage (==7.3.0)", "fastapi (<0.100.0)", "onnx (<1.15.0)", "onnxruntime (<1.16.0)", "pandas (>1.0)", "protobuf (<3.21.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn (<0.23.3)"] [[package]] name = "pytz" @@ -8241,4 +8241,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.8.1,<3.12" -content-hash = "beee28bc941bfdf2c638901104680752d95f75736e1d64e9fbb0fabbf511630b" +content-hash = "e57ccfa7eb00ff8f31ff19a2ceef453235920d100e2130677249995930edab9a" diff --git a/pyproject.toml b/pyproject.toml index b0dff1d11..0e0146970 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -130,7 +130,7 @@ tensorflow = "~2.12.0" ## Dev dependencies from MLflow torch = "2.0.0" -pytorch-lightning = "2.0.7" +pytorch-lightning = "2.0.9.post0" torchmetrics = "1.1.0" torchvision = "0.15.1" mlflow = "2.6.0"