* If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   
   -----------------------------------------------------------------------------------------------
   
   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   
   

<div class="termy">

```console
$ which pip

some/directory/fastapi/env/bin/pip
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console
$ Get-Command pip

some/directory/fastapi/env/bin/pip
```

</div>

////

Se ele exibir o binário `pip` em `env/bin/pip` então funcionou. 🎉



/// tip

		if err := s.hostsideProbeIPSet.AddIP(pip, ipProto, podUID, false); err != nil {
			ipsetAddrErrs = append(ipsetAddrErrs, err)
			log.Errorf("failed adding pod %s to ipset %s with ip %s, error was %s",
				pod.Name, &s.hostsideProbeIPSet.Prefix, pip, err)
		} else {
			addedIps = append(addedIps, pip)
		}
	}

	return addedIps, errors.Join(ipsetAddrErrs...)
}

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...dó cũng bao gồm `uvicorn`, bạn có thể sử dụng như một server để chạy code của bạn.

/// note

Bạn cũng có thể cài đặt nó từng phần.

Đây là những gì bạn có thể sẽ làm một lần duy nhất bạn muốn triển khai ứng dụng của bạn lên production:

```
pip install fastapi
```

//// tab | Uvicorn

* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, un serveur ASGI rapide comme l'éclair, basé sur uvloop et httptools.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

/// tip | "Astuce"

En ajoutant `standard`, Uvicorn va installer et utiliser quelques dépendances supplémentaires recommandées.

FROM python:3.9

RUN pip install httpx PyGithub "pydantic==1.5.1" "pyyaml>=5.3.1,<6.0.0"

COPY ./app /app

第一个步骤是安装 FastAPI。

为了使用本教程，你可能需要安装所有的可选依赖及对应功能：

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

......以上安装还包括了 `uvicorn`，你可以将其用作运行代码的服务器。

/// note

你也可以分开来安装。

假如你想将应用程序部署到生产环境，你可能要执行以下操作：

```
pip install fastapi
```

并且安装`uvicorn`来作为服务器：

```
pip install "uvicorn[standard]"
```

然后对你想使用的每个可选依赖项也执行相同的操作。

///

## 进阶用户指南

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

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks

      - name: Checkout repository for releases (skipped for nightly)
        if: ${{ github.event_name == 'push' }}
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
      - name: Build and test pip wheel
        shell: bash
        run: |
          is_nightly=0 && tf_project_name='tensorflow_cpu_aws' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_cpu_aws'

    Опция `--no-cache-dir` указывает `pip` не сохранять загружаемые библиотеки на локальной машине для использования их в случае повторной загрузки. В контейнере, в случае пересборки этого шага, они всё равно будут удалены.

    /// note | Заметка

    Опция `--no-cache-dir` нужна только для `pip`, она никак не влияет на Docker или контейнеры.

    ///

    Опция `--upgrade` указывает `pip` обновить библиотеки, емли они уже установлены.