If you open a GitHub Issue, here is our policy:

1.  It must be a bug/performance issue or a feature request or a build issue or
    a documentation issue (for small doc fixes please send a PR instead).
1.  Make sure the Issue Template is filled out.
1.  The issue should be related to the repo it is created in.

**Here's why we have this policy:** We want to focus on the work that benefits
the whole community, e.g., fixing bugs and adding features. Individual support

about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

You can report bugs and feature requests to the Istio team in one of three places:

- [Product Bugs and Feature Requests](https://github.com/istio/istio/issues)
- [Documentation Bugs and Feature Requests](https://github.com/istio/istio.io/issues)
- [Community and Governance Issues](https://github.com/istio/community/issues)

For security vulnerabilities, please don't report a bug (which is public) and instead follow

如果您选择 "Watching" 而不是 "Releases only"，有人创建新 Issue 时，您会接收到通知。

然后您就可以尝试并帮助他们解决问题。

## 创建 Issue

您可以在 GitHub 资源库中<a href="https://github.com/tiangolo/fastapi/issues/new/choose" class="external-link" target="_blank">创建 Issue</a>，例如：

* 提出**问题**或**意见**
* 提出新**特性**建议

**注意**：如果您创建 Issue，我会要求您也要帮助别的用户。😉

## 创建 PR

some form of isolation when dealing with untrusted data. As a result, this
document also outlines what issues we consider as TensorFlow security
vulnerabilities.

We recognize issues as vulnerabilities only when they occur in scenarios that we
outline as safe; issues that have a security impact only when TensorFlow is used
in a discouraged way (e.g. running untrusted models or checkpoints, data parsing

{% endfor %}

</div>
{% endif %}

## Especialistas

Aqui está os **Especialistas do FastAPI**. 🤓


Estes são os usuários que [helped others the most with issues (questions) in GitHub](help-fastapi.md#responda-perguntas-no-github){.internal-link target=_blank} em *todo o tempo*.

「Releases only」ではなく「Watching」を選択すると、新たなissueが立てられた際に通知されます。

そして、issueを解決し他の人を助けることができます。

## issuesを立てる

GitHubレポジトリで<a href="https://github.com/tiangolo/fastapi/issues/new/choose" class="external-link" target="_blank">新たなissueを立てられます</a>。例えば:

* 質問、または、問題の報告
* 新機能の提案

**Note**: issueを立てた人は、他の人の手助けもお願いします。😉

## プルリクエストをする

labels: community, triage
assignees: ''

---

## NOTE
All GitHub issues are addressed on a best-effort basis at MinIO's sole discretion. There are no Service Level Agreements (SLA) or Objectives (SLO). Remember our [Code of Conduct](https://github.com/minio/minio/blob/master/code_of_conduct.md) when engaging with MinIO Engineers and the larger community.

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version

name: TensorFlow Lite Other Issue description: Use this template to report any
issue in TensorFlow Lite that is not about Converters, Play Services or Ops
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: