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public_repos
public_repos/torchmetrics/MANIFEST.in
# Manifest syntax https://packaging.python.org/en/latest/guides/using-manifest-in/ graft wheelhouse recursive-exclude __pycache__ *.py[cod] *.orig # include also models recursive-include src *.pth # Include the README and CHANGELOG include *.md recursive-include src *.md # Include the license file include LICENSE ...
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public_repos
public_repos/torchmetrics/CITATION.cff
cff-version: 1.2.0 message: "If you want to cite the framework, feel free to use this (but only if you loved it 😊)" title: "TorchMetrics - Measuring Reproducibility in PyTorch" abstract: "A main problem with reproducing machine learning publications is the variance of metric implementations across papers. A lack o...
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public_repos
public_repos/torchmetrics/setup.py
#!/usr/bin/env python import glob import os import re from functools import partial from importlib.util import module_from_spec, spec_from_file_location from itertools import chain from pathlib import Path from typing import Any, Iterable, Iterator, List, Optional, Tuple, Union from pkg_resources import Requirement, y...
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public_repos
public_repos/torchmetrics/.readthedocs.yml
# Copyright The Lightning AI team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wri...
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public_repos
public_repos/torchmetrics/requirements.txt
-r requirements/base.txt
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public_repos
public_repos/torchmetrics/.codecov.yml
# see https://docs.codecov.io/docs/codecov-yaml # Validation check: # $ curl --data-binary @.codecov.yml https://codecov.io/validate # https://docs.codecov.io/docs/codecovyml-reference codecov: bot: "codecov-io" strict_yaml_branch: "yaml-config" require_ci_to_pass: yes notify: # after_n_builds: 2 wait_...
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public_repos
public_repos/torchmetrics/Makefile
.PHONY: test clean docs env data export FREEZE_REQUIREMENTS=1 # assume you have installed need packages export SPHINX_MOCK_REQUIREMENTS=1 export SPHINX_FETCH_ASSETS=0 clean: # clean all temp runs rm -rf $(shell find . -name "mlruns") rm -rf _ckpt_* rm -rf .mypy_cache rm -rf .pytest_cache rm -rf tests/.pytest_ca...
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public_repos
public_repos/torchmetrics/.pre-commit-config.yaml
# Copyright The Lightning team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writin...
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public_repos
public_repos/torchmetrics/pyproject.toml
[metadata] license_file = "LICENSE" description-file = "README.md" [build-system] requires = ["setuptools", "wheel"] [tool.check-manifest] ignore = ["*.yml", ".github", ".github/*"] [tool.pytest.ini_options] norecursedirs = [".git", ".github", "dist", "build", "docs"] addopts = [ "--strict-markers", "--doc...
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public_repos
public_repos/torchmetrics/.prettierignore
# Ignore all MD files: **/*.md
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public_repos
public_repos/torchmetrics/README.md
<div align="center"> <img src="docs/source/_static/images/logo.png" width="400px"> **Machine learning metrics for distributed, scalable PyTorch applications.** ______________________________________________________________________ <p align="center"> <a href="#what-is-torchmetrics">What is Torchmetrics</a> • <a ...
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public_repos
public_repos/torchmetrics/LICENSE
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, ...
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public_repos
public_repos/torchmetrics/CHANGELOG.md
# Changelog All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). **Note: we move fast, but still we preserve 0.1 version (one feature...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/audio.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment # this need to be the same as used inside speechmetrics pesq @ git+http...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/nominal_test.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment pandas >1.0.0, <=2.0.3 # cannot pin version due to numpy version incomp...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/_docs.txt
sphinx ==5.3.0 myst-parser ==1.0.0 nbsphinx ==0.9.3 pandoc ==2.3 docutils ==0.19 sphinxcontrib-fulltoc >=1.0 sphinxcontrib-mockautodoc lai-sphinx-theme # need to be downloaded from s3://sphinx-packages/ sphinx-autodoc-typehints ==1.23.0 sphinx-paramlinks ==0.6.0 sphinx-togglebutton ==0.3.2 sphinx-copybutton ==0.5.2 l...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/text_test.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment jiwer >=2.3.0, <3.1.0 rouge-score >0.1.0, <=0.1.2 bert_score ==0.3.13 h...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/_integrate.txt
# contentiously validated integration with these expected ranges # ToDo: investigate and add validation with 2.0+ on GPU pytorch-lightning >=1.9.0, <2.0.0
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/classification_test.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment pandas >=1.4.0, <=2.0.3 netcal >1.0.0, <=1.3.5 # calibration_error num...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/audio_test.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment pypesq @ git+https://github.com/vBaiCai/python-pesq mir-eval >=0.6, <=0...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/detection_test.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment faster-coco-eval >=1.3.3
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/_devel.txt
# use mandatory dependencies -r base.txt # add the testing dependencies -r _tests.txt # add extra requirements -r image.txt -r text.txt -r detection.txt -r audio.txt -r multimodal.txt -r visual.txt # add extra testing -r image_test.txt -r text_test.txt -r audio_test.txt -r detection_test.txt -r classification_test.t...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/image.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment scipy >1.0.0, <1.11.0 torchvision >=0.8, <0.17.0 torch-fidelity <=0.4.0...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/text.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment nltk >=3.6, <=3.8.1 tqdm >=4.41.0, <=4.66.1 regex >=2021.9.24, <=2023.1...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/_tests.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment coverage ==7.3.2 pytest ==7.4.3 pytest-cov ==4.1.0 pytest-doctestplus =...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/image_test.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment scikit-image >=0.19.0, <=0.21.0 kornia >=0.6.7, <0.7.1 pytorch-msssim =...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/_doctest.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment pytest >=6.0.0, <7.5.0 pytest-doctestplus >=0.9.0, <=1.0.0 pytest-rerun...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/visual.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment matplotlib >=3.2.0, <3.8.0 SciencePlots >= 2.0.0, <= 2.1.0
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/README.md
# Project Requirements This folder contains all requirements files for the project. The base requirements are located in the `base.txt` file. Files prefixed with `_` are only meant for development and testing purposes. In general, each subdomain of the project has a `<domain>.txt` file that contains the necessary requ...
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/typing.txt
mypy ==1.6.1 torch ==2.1.0 types-PyYAML types-emoji types-protobuf types-requests types-setuptools types-six types-tabulate types-protobuf
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/detection.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment torchvision >=0.8, <0.17.0 pycocotools >2.0.0, <=2.0.7
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/multimodal.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment transformers >=4.10.0, <4.34.2 piq <=0.8.0
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public_repos/torchmetrics
public_repos/torchmetrics/requirements/base.txt
# NOTE: the upper bound for the package version is only set for CI stability, and it is dropped while installing this package # in case you want to preserve/enforce restrictions on the latest compatible version, add "strict" as an in-line comment numpy >1.20.0 packaging >17.1 torch >=1.10.0, <=2.0.1 torch >=1.10.0, <...
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public_repos/torchmetrics
public_repos/torchmetrics/dockers/README.md
# Docker images ## Build images from Dockerfiles You can build it on your own, note it takes lots of time, be prepared. ```bash git clone https://github.com/Lightning-AI/torchmetrics.git # build with the default arguments docker image build -t torchmetrics:latest -f dockers/ubuntu-cuda/Dockerfile . # build with sp...
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public_repos/torchmetrics/dockers
public_repos/torchmetrics/dockers/ubuntu-cuda/Dockerfile
# Copyright The Lightning AI team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wri...
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public_repos/torchmetrics/src
public_repos/torchmetrics/src/torchmetrics/__about__.py
__version__ = "1.3.0dev" __author__ = "Lightning-AI et al." __author_email__ = "name@pytorchlightning.ai" __license__ = "Apache-2.0" __copyright__ = f"Copyright (c) 2020-2023, {__author__}." __homepage__ = "https://github.com/Lightning-AI/torchmetrics" __docs__ = "PyTorch native Metrics" __docs_url__ = "https://lightni...
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public_repos/torchmetrics/src
public_repos/torchmetrics/src/torchmetrics/aggregation.py
# Copyright The Lightning team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writin...
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