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Copy file name to clipboardExpand all lines: CODE_OF_CONDUCT.md
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# TensorFlow Code of Conduct
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# DeepRec Code of Conduct
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In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.
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In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.
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## Our Standards
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* Conduct which could reasonably be considered inappropriate for the forum in
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which it occurs.
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All TensorFlow forums and spaces are meant for professional interactions, and any behavior which could reasonably be considered inappropriate in a professional setting is unacceptable.
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All DeepRec forums and spaces are meant for professional interactions, and any behavior which could reasonably be considered inappropriate in a professional setting is unacceptable.
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## Our Responsibilities
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## Scope
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This Code of Conduct applies to all content on tensorflow.org, TensorFlow’s GitHub organization, or any other official TensorFlow web presence allowing for community interactions, as well as at all official TensorFlow events, whether offline or online.
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This Code of Conduct applies to all content on DeepRec’s GitHub organization, or any other official DeepRec web presence allowing for community interactions, as well as at all official DeepRec events, whether offline or online.
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The Code of Conduct also applies within project spaces and in public spaces whenever an individual is representing TensorFlow or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed or de facto representative at an online or offline event.
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The Code of Conduct also applies within project spaces and in public spaces whenever an individual is representing DeepRec or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed or de facto representative at an online or offline event.
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## Conflict Resolution
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## Reporting Violations
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Violations of the Code of Conduct can be reported to TensorFlow’s Project
([email protected]). The Project Steward will determine whether the Code of
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Conduct was violated, and will issue an appropriate sanction, possibly including
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a written warning or expulsion from the project, project sponsored spaces, or
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project forums. We ask that you make a good-faith effort to resolve your
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conflict via the conflict resolution policy before submitting a report.
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Violations of the Code of Conduct can be reported to DeepRec’s Project Stewards, Liu Tongxuan ([email protected]). The Project Steward will determine whether the Code of Conduct was violated, and will issue an appropriate sanction, possibly including a written warning or expulsion from the project, project sponsored spaces, or project forums. We ask that you make a good-faith effort to resolve your conflict via the conflict resolution policy before submitting a report.
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Violations of the Code of Conduct can occur in any setting, even those unrelated to the project. We will only consider complaints about conduct that has occurred within one year of the report.
- Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/).
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- Check if my changes are consistent with the [guidelines](https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md#general-guidelines-and-philosophy-for-contribution).
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- Changes are consistent with the [Coding Style](https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md#c-coding-style).
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- Run [Unit Tests](https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md#running-unit-tests).
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- Ensure you have signed the [Contributor License Agreement (CLA)](https://cla-assistant.io/alibaba/DeepRec).
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- Check if my changes are consistent with the [guidelines](https://github.com/alibaba/DeepRec/blob/main/CONTRIBUTING.md#general-guidelines-and-philosophy-for-contribution).
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- Changes are consistent with the [Coding Style](https://github.com/alibaba/DeepRec/blob/main/CONTRIBUTING.md#c-coding-style).
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- Run [Unit Tests](https://github.com/alibaba/DeepRec/blob/main/CONTRIBUTING.md#running-unit-tests).
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## How to become a contributor and submit your own code
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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](https://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](https://code.google.com/legal/corporate-cla-v1.0.html).
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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](https://cla-assistant.io/alibaba/DeepRec).
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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](https://cla-assistant.io/alibaba/DeepRec).
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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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### Contributing code
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If you have improvements to TensorFlow, send us your pull requests! For those
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If you have improvements to DeepRec, send us your pull requests! For those
`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` for
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Docker images e.g.,
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[devel](registry.cn-shanghai.aliyuncs.com/pai-dlc-share/deeprec-developer:deeprec-dev-cpu-py36-ubuntu18.04) and [devel-gpu](registry.cn-shanghai.aliyuncs.com/pai-dlc-share/deeprec-developer:deeprec-dev-gpu-py36-cu110-ubuntu18.04) for
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development to avoid installing the packages directly on your system (in
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which case remember to change directory from `/root` to `/tensorflow` once
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you get into the running container so `bazel` can find the `tensorflow`
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which case remember to change directory from `/root` to `/DeepRec` once
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you get into the running container so `bazel` can find the `DeepRec`
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workspace).
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Once you have the packages installed, you can run a specific unit test in
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bazel test${flags} //tensorflow/python/...
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```
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2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.
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2. Using Docker and DeepRec's CI scripts.
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```bash
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# Install Docker first, then this will build and run cpu tests
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tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/...
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