TF_Operation* scalar3 = TF_GraphOperationByName(graph, "imported3/scalar");
  TF_Operation* feed3 = TF_GraphOperationByName(graph, "imported3/feed");
  TF_Operation* neg3 = TF_GraphOperationByName(graph, "imported3/neg");
  ASSERT_TRUE(scalar3 != nullptr);
  ASSERT_TRUE(feed3 != nullptr);
  ASSERT_TRUE(neg3 != nullptr);

  // Check that newly-imported scalar and feed have control deps (neg3 will

    </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>

    img: https://fastapi.tiangolo.com/img/sponsors/blockbee.png
  - 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

Si vous le déclarez tel quel, comme c'est une valeur [scalaire](https://docs.github.com/fr/graphql/reference/scalars), **FastAPI** supposera qu'il s'agit d'un paramètre de requête (`Query`).

Mais vous pouvez indiquer à **FastAPI** de la traiter comme une variable de body en utilisant `Body` :

  - 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
  - zuplo
  - Kong
  - speakeasy-api
  - jess-render
  - blockbee-io
  - liblaber
  - render-sponsorships
  - renderinc

<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>

  - login: railwayapp
    avatarUrl: https://avatars.githubusercontent.com/u/66716858?v=4
    url: https://github.com/railwayapp
  - login: scalar
    avatarUrl: https://avatars.githubusercontent.com/u/301879?v=4
    url: https://github.com/scalar
- - login: dribia
    avatarUrl: https://avatars.githubusercontent.com/u/41189616?v=4
    url: https://github.com/dribia
  - login: svix

&y.s) return s } // Subtract sets s = x - y mod l, and returns s. func (s *Scalar) Subtract(x, y *Scalar) *Scalar { // s = -1 * y + x mod l fiatScalarSub(&s.s, &x.s, &y.s) return s } // Negate sets s = -x mod l, and returns s. func (s *Scalar) Negate(x *Scalar) *Scalar { // s = -1 * x + 0 mod l fiatScalarOpp(&s.s, &x.s) return s } // Multiply sets s = x * y mod l, and returns s. func (s *Scalar) Multiply(x, y *Scalar) *Scalar { // s = x * y + 0 mod l fiatScalarMul(&s.s, &x.s, &y.s) return s } // Set...

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI will use this return type to:

* **Validate** the returned data.

        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