Merge pull request #22949 from dksb:master
PiperOrigin-RevId: 217382637
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.github/ISSUE_TEMPLATE/bug-performance-issue.md
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name: Bug/Performance Issue about: Use this template for reporting a bug or a
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performance issue.
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--------------------------------------------------------------------------------
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<em>Please make sure that this is a bug. As per our
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[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md)
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we only address code/doc bugs, performance issues, feature requests and
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build/installation issues on GitHub. tag:bug_template</em>
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**System information** - Have I written custom code (as opposed to using a stock
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example script provided in TensorFlow): - OS Platform and Distribution (e.g.,
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Linux Ubuntu 16.04): - Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if
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the issue happens on mobile device: - TensorFlow installed from (source or
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binary): - TensorFlow version (use command below): - Python version: - Bazel
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version (if compiling from source): - GCC/Compiler version (if compiling from
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source): - CUDA/cuDNN version: - GPU model and memory:
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You can collect some of this information using our environment capture
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[script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh)
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You can also obtain the TensorFlow version with python -c "import tensorflow as
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tf; print(tf.GIT_VERSION, tf.VERSION)"
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**Describe the current behavior**
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**Describe the expected behavior**
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**Code to reproduce the issue** Provide a reproducible test case that is the
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bare minimum necessary to generate the problem.
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**Other info / logs** Include any logs or source code that would be helpful to
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diagnose the problem. If including tracebacks, please include the full
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traceback. Large logs and files should be attached.
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.github/ISSUE_TEMPLATE/build-installation-issue.md
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--------------------------------------------------------------------------------
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name: Build/Installation Issue about: Use this template for build/installation
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issues
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--------------------------------------------------------------------------------
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<em>Please make sure that this is a build/installation issue. As per our
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[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md)
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we only address code/doc bugs, performance issues, feature requests and
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build/installation issues on GitHub. tag:build_template</em>
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**System information** - OS Platform and Distribution (e.g., Linux Ubuntu
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16.04): - Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue
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happens on mobile device: - TensorFlow installed from (source or binary): -
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TensorFlow version: - Python version: - Installed using virtualenv? pip?
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conda?: - Bazel version (if compiling from source): - GCC/Compiler version (if
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compiling from source): - CUDA/cuDNN version: - GPU model and memory:
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**Describe the problem**
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**Provide the exact sequence of commands / steps that you executed before
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running into the problem**
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**Any other info / logs** Include any logs or source code that would be helpful
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to diagnose the problem. If including tracebacks, please include the full
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traceback. Large logs and files should be attached.
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.github/ISSUE_TEMPLATE/documentation-issue.md
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name: Documentation Issue about: Use this template for documentation related
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issues
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--------------------------------------------------------------------------------
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<em>Please make sure that this is a documentation issue. As per our
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[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md)
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we only address code/doc bugs, performance issues, feature requests and
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build/installation issues on GitHub. tag:doc_template</em>
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**System information** - TensorFlow version: - Doc Link:
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**Describe the documentation issue**
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**We welcome contributions by users. Will you be able to update submit a PR to
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fix the doc Issue?**
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.github/ISSUE_TEMPLATE/feature-request.md
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--------------------------------------------------------------------------------
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name: Feature Request about: Use this template for raising a feature request
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--------------------------------------------------------------------------------
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<em>Please make sure that this is a feature request. As per our
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[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md)
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we only address code/doc bugs, performance issues, feature requests and
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build/installation issues on GitHub. tag:feature_template</em>
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**System information** - TensorFlow version (you are using): - Are you willing
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to contribute it (Yes/No):
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**Describe the feature and the current behavior/state.**
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**Will this change the current api? How?**
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**Who will benefit with this feature?**
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**Any Other info.**
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.github/ISSUE_TEMPLATE/other-issues.md
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--------------------------------------------------------------------------------
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name: Other Issues about: Use this template for any other non-support related
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issues
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--------------------------------------------------------------------------------
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This template is for miscellaneous issues not covered by the other issue
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categories.
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For questions on how to work with TensorFlow, or support for problems that are
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not verified bugs in TensorFlow, please go to
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[StackOverflow](https://stackoverflow.com/questions/tagged/tensorflow).
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If you are reporting a vulnerability, please use the
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[dedicated reporting process](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md).
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For high-level discussions about TensorFlow, please post to
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discuss@tensorflow.org, for questions about the development or internal workings
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of TensorFlow, or if you would like to know how to contribute to TensorFlow,
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please post to developers@tensorflow.org.
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ISSUES.md
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If you open a GitHub Issue, here is our policy: 1. It must be a bug/performance
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issue or a feature request or a build issue or a documentation issue (for small
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doc fixes please send a PR instead). 2. Make sure the Issue Template is filled
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out. 3. The issue should be related to the repo it is created in.
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**Here's why we have this policy:** We want to focus on the work that benefits
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the whole community, e.g., fixing bugs and adding features. Individual support
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should be seeked on StackOverflow or other non-GitHub channels. It helps us to
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address bugs and feature requests in a timely manner.
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