.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml

name: Tensorflow Issue Template
description: Please report security related issue using [Google Bug Hunters reporting form](https://bughunters.google.com/). To report any other TensorFlow related issue please use this template.
body:
  - type: dropdown
    id: issue-type
    attributes:
      label: Issue Type
      description: What type of issue would you like to report?
      multiple: false
      options:
        - Bug
        - Build/Install
        - Performance
        - Support
        - Feature Request
        - Documentation Feature Request
        - Documentation Bug
        - Others
    validations:
      required: true
  - type: markdown
    attributes:
      value: |
        Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub.

  - type: dropdown
    id: tf-nightly
    attributes:
      label: Have you reproduced the bug with TF nightly?
      description: It is strongly suggested that you have reproduced the bug with [TF nightly](https://www.tensorflow.org/install/pip#nightly)
      options:
        - "Yes"
        - "No"
    validations:
      required: true
          
  - type: markdown
    attributes:
      value: | 
        You can collect some of this information using our environment capture [script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh)  You can also obtain the TensorFlow version with: <br> 1. TF 1.0: `python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"` <br>2. TF 2.0: `python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"`

  - type: dropdown
    id: source
    attributes:
      label: Source
      description: Tensorflow installed from
      options:
        - source
        - binary
    validations:
      required: true
      
  - type: input
    id: tfversion
    attributes:
      label: Tensorflow Version
      description: 
      placeholder: ex,. tf 2.8
    validations:
      required: true
  - type: dropdown
    id: Code
    attributes:
      label: Custom Code
      description: 
      options:
        - "Yes"
        - "No"
    validations:
      required: true
  - type: input
    id: OS
    attributes:
      label: OS Platform and Distribution
      description: 
      placeholder: e.g., Linux Ubuntu 16.04
    validations:
      required: false
  - type: input
    id: Mobile
    attributes:
      label: Mobile device
      description: 
      placeholder: e.g., Linux Ubuntu 16.04
    validations:
      required: false
  - type: input
    id: Python
    attributes:
      label: Python version
      description: 
      placeholder: e.g., 3.9
    validations:
      required: false
  - type: input
    id: Bazel
    attributes:
      label: Bazel version
      description: if compiling from source
      placeholder: 
    validations:
      required: false
  - type: input
    id: Compiler
    attributes:
      label: GCC/Compiler version
      description: if compiling from source
      placeholder: 
    validations:
      required: false
  - type: input
    id: Cuda
    attributes:
      label: CUDA/cuDNN version
      description:
      placeholder: 
    validations:
      required: false
  - type: input
    id: Gpu
    attributes:
      label: GPU model and memory
      description: if compiling from source
      placeholder: 
    validations:
      required: false
  - type: textarea
    id: what-happened
    attributes:
      label: Current Behaviour?
      description: Also tell us, what did you expect to happen?
      placeholder: Tell us what you see!
      value: "A bug happened!"
    validations:
      required: true
  - type: textarea
    id: code-to-reproduce
    attributes:
      label: Standalone code to reproduce the issue
      description: Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/Jupyter/any notebook.
      placeholder: Tell us what you see!
      value: 
      render: shell
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:
      label: Relevant log output
      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
      render: shell