From 84828e2a1ff1fe15023a584fb8276a5791e8fcd8 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 21 Aug 2023 05:51:00 +0000 Subject: [PATCH] Bump pytorch-lightning from 2.0.6 to 2.0.7 in /runtimes/mlflow Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 2.0.6 to 2.0.7. - [Release notes](https://github.com/Lightning-AI/lightning/releases) - [Commits](https://github.com/Lightning-AI/lightning/compare/2.0.6...2.0.7) --- updated-dependencies: - dependency-name: pytorch-lightning dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] --- runtimes/mlflow/poetry.lock | 16 ++++++++-------- runtimes/mlflow/pyproject.toml | 2 +- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/runtimes/mlflow/poetry.lock b/runtimes/mlflow/poetry.lock index cef5d3b1d..a800b5f88 100644 --- a/runtimes/mlflow/poetry.lock +++ b/runtimes/mlflow/poetry.lock @@ -2580,13 +2580,13 @@ files = [ [[package]] name = "pytorch-lightning" -version = "2.0.6" +version = "2.0.7" 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-2.0.6.tar.gz", hash = "sha256:a97d84f679ef94f866d84bffdd7497ddfe2124dfa24e64e69565c668c03fb54f"}, - {file = "pytorch_lightning-2.0.6-py3-none-any.whl", hash = "sha256:1c825715d9c3494adf6227596e14757b802747091c7899497e3dec3315961f03"}, + {file = "pytorch-lightning-2.0.7.tar.gz", hash = "sha256:4e6bc1e1f7b0c69016ea2fe0616b18fa62bd3d8661c7ff02c11d317746cfc5f5"}, + {file = "pytorch_lightning-2.0.7-py3-none-any.whl", hash = "sha256:720add0c42d8eb042f371a77581feb2796429cffbe635156e9343775e9e5ba35"}, ] [package.dependencies] @@ -2601,13 +2601,13 @@ 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)", "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] (<8.14.1)", "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)"] 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)", "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 (<5.9.5)", "pytest (==7.3.1)", "pytest-cov (==4.0.0)", "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 (<0.22.1)"] +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)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"] +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)"] 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 (<5.9.5)", "pytest (==7.3.1)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn (<0.22.1)"] +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)"] [[package]] name = "pytz" @@ -3558,4 +3558,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.8.1,<3.12" -content-hash = "1184419119a5f258dc974c18262c460bb86766aad4efb625e7add6aea8f92872" +content-hash = "ac28bf5b389e973f3f82ef371f98eeb9a5d1bb543a6108c235523068995c8037" diff --git a/runtimes/mlflow/pyproject.toml b/runtimes/mlflow/pyproject.toml index 989bbddc9..e8e52fc8f 100644 --- a/runtimes/mlflow/pyproject.toml +++ b/runtimes/mlflow/pyproject.toml @@ -15,7 +15,7 @@ mlflow = "*" [tool.poetry.group.dev.dependencies] mlserver = {path = "../..", develop = true} torch = "2.0.0" -pytorch-lightning = "2.0.6" +pytorch-lightning = "2.0.7" torchmetrics = "1.0.3" torchvision = "0.15.1" mlflow = "2.4.1"