img: https://fastapi.tiangolo.com/img/sponsors/bump-sh.svg
  - url: https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=main-badge
    title: "Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files"
    img: https://fastapi.tiangolo.com/img/sponsors/scalar.svg
  - url: https://www.propelauth.com/?utm_source=fastapi&utm_campaign=1223&utm_medium=mainbadge

    </div>
    <div class="item">
      <a title="Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files" style="display: block; position: relative;" href="https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=top-banner" target="_blank">
        <span class="sponsor-badge">sponsor</span>
        <img class="sponsor-image" src="/img/sponsors/scalar-banner.svg" />
      </a>
    </div>

  - nihpo
  - armand-sauzay
  - databento-bot
  - databento
  - nanram22
  - Flint-company
  - porter-dev
  - fern-api
  - ndimares
  - svixhq
  - Alek99
  - codacy
  - zanfaruqui
  - scalar
  - bump-sh
  - andrew-propelauth
  - svix
  - zuplo-oss
  - Kong
  - speakeasy-api

<a href="https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=main-badge" target="_blank" title="Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files"><img src="https://fastapi.tiangolo.com/img/sponsors/scalar.svg"></a>

        Keras training loops like `fit`/`evaluate`, the unreduced vector loss is
        passed to the optimizer but the reported loss will be a scalar value.
    *   `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
        `SUM` divided by number of elements in losses. This reduction type is
        not supported when used with `tf.distribute.Strategy` outside of

* 📝 Tweak default suggested configs for generating clients. PR [#10736](https://github.com/tiangolo/fastapi/pull/10736) by [@tiangolo](https://github.com/tiangolo).

### Internal

* 🔧 Update sponsors, add Scalar. PR [#10728](https://github.com/tiangolo/fastapi/pull/10728) by [@tiangolo](https://github.com/tiangolo).