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‎CONTRIBUTING.md‎

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### Contributor License Agreements
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### Contributing
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We'd love to accept your patches! Before we can take them, we have to jump a couple of legal hurdles.
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Please fill out either the individual or corporate Contributor License Agreement (CLA).
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* If you are an individual writing original source code and you're sure you own the intellectual property, then you'll need to sign an [individual CLA](http://code.google.com/legal/individual-cla-v1.0.html).
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* If you work for a company that wants to allow you to contribute your work, then you'll need to sign a [corporate CLA](http://code.google.com/legal/corporate-cla-v1.0.html).
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Follow either of the two links above to access the appropriate CLA and instructions for how to sign and return it. Once we receive it, we'll be able to accept your pull requests.
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***NOTE***: Only original source code from you and other people that have signed the CLA can be accepted into the main repository.
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We'd love to accept your patches! By submitting a pull request, you agree that
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your contributions are licensed under the project's
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[AGPL-3.0-or-later](LICENSE) license.
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### Working with the team
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‎LICENSE‎

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‎LICENSE.apache2‎

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Copyright 2017 The TensorFlow Authors. All rights reserved.
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‎NOTICE‎

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TensorBored
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Copyright 2024-present TensorBored authors
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This project is licensed under the GNU Affero General Public License v3.0
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(AGPL-3.0). See the LICENSE file for the full license text.
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================================================================================
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This project is a fork of TensorBoard, originally developed by The TensorFlow
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Authors and licensed under the Apache License, Version 2.0. The original
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TensorBoard source code retains its Apache 2.0 license and copyright notices.
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TensorBoard: https://github.com/tensorflow/tensorboard
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Copyright 2017 The TensorFlow Authors. All rights reserved.
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Licensed under the Apache License, Version 2.0
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A copy of the Apache License 2.0 is included as LICENSE.apache2 and
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tensorbored/pip_package/LICENSE.tensorflow.
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All new code contributed to TensorBored (including but not limited to the
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dashboard profile system, color sampler, superimposed plots, symlog scales,
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pinned card reordering, shift-select runs, and related CI/CD infrastructure)
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is licensed under AGPL-3.0.
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The Apache License 2.0 is compatible with AGPL-3.0, permitting distribution
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of the combined work under AGPL-3.0 terms, provided the original copyright
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and attribution notices are retained in the upstream source files.

‎README.md‎

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# TensorBored
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[![CI](https://github.com/Demonstrandum/tensorbored/actions/workflows/ci.yml/badge.svg)](https://github.com/Demonstrandum/tensorbored/actions/workflows/ci.yml)
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[![PyPI version](https://img.shields.io/pypi/v/tensorbored?color=blue)](https://pypi.org/project/tensorbored/)
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[![Nightly version](https://img.shields.io/pypi/v/tensorbored-nightly?label=nightly&color=purple)](https://pypi.org/project/tensorbored-nightly/)
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[![PyPI downloads](https://img.shields.io/pypi/dm/tensorbored)](https://pypi.org/project/tensorbored/)
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[![Python](https://img.shields.io/pypi/pyversions/tensorbored)](https://pypi.org/project/tensorbored/)
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[![License: AGPL-3.0](https://img.shields.io/badge/license-AGPL--3.0-blue)](https://github.com/Demonstrandum/tensorbored/blob/master/LICENSE)
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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
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[![Demo](https://img.shields.io/badge/%F0%9F%A4%97-Live%20Demo-yellow)](https://huggingface.co/spaces/Demonstrandum/tensorbored-sample)
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TensorBored is a suite of web applications for inspecting and understanding your
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runs and graphs, with a focus on PyTorch compatibility.
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‎pyproject.toml‎

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dynamic = ["version"]
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description = "TensorBored: a PyTorch-first TensorBoard fork"
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readme = "tensorbored/pip_package/README.rst"
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license = {text = "Apache-2.0"}
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license = {text = "AGPL-3.0-or-later"}
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authors = [
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{name = "TensorBored authors"}
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]
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Programming Language :: Python :: 3.14",
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"Programming Language :: Python :: 3 :: Only",
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"Topic :: Scientific/Engineering :: Mathematics",
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"Topic :: Software Development :: Libraries :: Python Modules",

‎tensorbored/pip_package/BUILD‎

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outs = ["LICENSE"],
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cmd = "\n".join([
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"(",
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" echo '#' TensorBoard License",
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" echo '#' TensorBored License",
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" echo",
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" echo TensorBoard is licensed Apache 2.0 and distributed with",
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" echo vendored content licensed Apache 2.0, MIT, and BSD-3.",
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" echo TensorBored is licensed AGPL-3.0-or-later. It includes code from",
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" echo TensorBoard licensed Apache 2.0 and vendored content licensed",
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" echo Apache 2.0, MIT, and BSD-3.",
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" echo",
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" echo '##' Table of Contents",
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‎tensorbored/pip_package/MANIFEST.in‎

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include LICENSE
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include LICENSE.apache2
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include NOTICE
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include README.rst
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graft tensorbored

‎tensorbored/pip_package/setup.cfg‎

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[metadata]
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description_file = README.rst
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license_files = LICENSE
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license_files =
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LICENSE
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LICENSE.apache2
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NOTICE

‎tensorbored/pip_package/setup.py‎

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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Programming Language :: Python :: 3.14",
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"Programming Language :: Python :: 3 :: Only",
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"Topic :: Scientific/Engineering :: Mathematics",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"Topic :: Software Development :: Libraries",
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],
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license="Apache 2.0",
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license="AGPL-3.0-or-later",
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keywords="pytorch tensorboard tensor machine learning visualizer",
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)

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