From 47c5b09a8475ca057a8a7e4ec9a44b01559ff370 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 21 Oct 2024 11:14:51 +0000 Subject: [PATCH] build(deps-dev): bump torchmetrics in /runtimes/mlflow Bumps [torchmetrics](https://github.com/Lightning-AI/torchmetrics) from 1.4.3 to 1.5.0. - [Release notes](https://github.com/Lightning-AI/torchmetrics/releases) - [Changelog](https://github.com/Lightning-AI/torchmetrics/blob/master/CHANGELOG.md) - [Commits](https://github.com/Lightning-AI/torchmetrics/compare/v1.4.3...v1.5.0) --- updated-dependencies: - dependency-name: torchmetrics dependency-type: direct:development update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] --- runtimes/mlflow/poetry.lock | 18 +++++++++--------- runtimes/mlflow/pyproject.toml | 2 +- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/runtimes/mlflow/poetry.lock b/runtimes/mlflow/poetry.lock index 933acce0e..64e8e94ad 100644 --- a/runtimes/mlflow/poetry.lock +++ b/runtimes/mlflow/poetry.lock @@ -3680,29 +3680,29 @@ optree = ["optree (>=0.9.1)"] [[package]] name = "torchmetrics" -version = "1.4.3" +version = "1.5.0" description = "PyTorch native Metrics" optional = false python-versions = ">=3.8" files = [ - {file = "torchmetrics-1.4.3-py3-none-any.whl", hash = "sha256:76e67490231acef7f70cf36ab129df72fb2b0256dada7051001ab3b9f8699bf4"}, - {file = "torchmetrics-1.4.3.tar.gz", hash = "sha256:5554a19167e91f543afe82ff58a01059c8eec854359ad22896449c2c8fb0ad89"}, + {file = "torchmetrics-1.5.0-py3-none-any.whl", hash = "sha256:a65628e0ea04c98bff84f2152c5a48416cbb8dc41c6e4ba44204cfc6ace2a30f"}, + {file = "torchmetrics-1.5.0.tar.gz", hash = "sha256:c18e68bab4104ad7d2285af601ddc6dc04f9f3b7cafaa8ad13fa1dcc539e33b6"}, ] [package.dependencies] lightning-utilities = ">=0.8.0" -numpy = ">1.20.0" +numpy = ">1.20.0,<2.0" packaging = ">17.1" torch = ">=1.10.0" [package.extras] -all = ["SciencePlots (>=2.0.0)", "gammatone (>1.0.0)", "ipadic (>=1.0.0)", "matplotlib (>=3.6.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.11.2)", "nltk (>=3.8.2)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "torch (==2.4.1)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] -audio = ["gammatone (>1.0.0)", "pesq (>=0.0.4)", "pystoi (>=0.3.0)", "torchaudio (>=0.10.0)"] +all = ["SciencePlots (>=2.0.0)", "gammatone (>=1.0.0)", "ipadic (>=1.0.0)", "librosa (>=0.9.0)", "matplotlib (>=3.6.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.11.2)", "nltk (>3.8.1)", "onnxruntime (>=1.12.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "torch (==2.4.1)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (<4.67.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] +audio = ["gammatone (>=1.0.0)", "librosa (>=0.9.0)", "onnxruntime (>=1.12.0)", "pesq (>=0.0.4)", "pystoi (>=0.4.0)", "requests (>=2.19.0)", "torchaudio (>=0.10.0)"] detection = ["pycocotools (>2.0.0)", "torchvision (>=0.8)"] -dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "dython (==0.7.6)", "dython (>=0.7.8,<0.8.0)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (==1.5.*)", "gammatone (>1.0.0)", "huggingface-hub (<0.26)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "matplotlib (>=3.6.0)", "mecab-ko (>=1.0.0)", "mecab-ko-dic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.3.2)", "mypy (==1.11.2)", "netcal (>1.0.0)", "nltk (>=3.8.2)", "numpy (<2.2.0)", "pandas (>1.4.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.4.1)", "torch-complex (<0.5.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] +dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "dython (==0.7.6)", "dython (>=0.7.8,<0.8.0)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.6.3)", "gammatone (>=1.0.0)", "huggingface-hub (<0.26)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "librosa (>=0.9.0)", "lpips (<=0.1.4)", "matplotlib (>=3.6.0)", "mecab-ko (>=1.0.0)", "mecab-ko-dic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.3.2)", "mypy (==1.11.2)", "netcal (>1.0.0)", "nltk (>3.8.1)", "numpy (<2.2.0)", "onnxruntime (>=1.12.0)", "pandas (>1.4.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.4.1)", "torch-complex (<0.5.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (<4.67.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] image = ["scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.8)"] multimodal = ["piq (<=0.8.0)", "transformers (>=4.42.3)"] -text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>=3.8.2)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (>=4.41.0)", "transformers (>4.4.0)"] +text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>3.8.1)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (<4.67.0)", "transformers (>4.4.0)"] typing = ["mypy (==1.11.2)", "torch (==2.4.1)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.6.0)"] @@ -4221,4 +4221,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.12" -content-hash = "5989d93443c94e317a8fdd5486107fe229ce258243ddb10f7a93424881c895d1" +content-hash = "1db6b438668d46cc7afec3664df9fd7a5f6b90945b59764df5a06e2d95e07ddb" diff --git a/runtimes/mlflow/pyproject.toml b/runtimes/mlflow/pyproject.toml index 73dde97b2..2a0992a56 100644 --- a/runtimes/mlflow/pyproject.toml +++ b/runtimes/mlflow/pyproject.toml @@ -16,7 +16,7 @@ mlflow = "*" mlserver = {path = "../..", develop = true} torch = "2.2.1" pytorch-lightning = "2.4.0" -torchmetrics = "1.4.3" +torchmetrics = "1.5.0" torchvision = "0.17.1" mlflow = "2.17.0"