---

„_Ehrlich, was Du gebaut hast, sieht super solide und poliert aus. In vielerlei Hinsicht ist es so, wie ich **Hug** haben wollte – es ist wirklich inspirierend, jemanden so etwas bauen zu sehen._“

<div style="text-align: right; margin-right: 10%;">Timothy Crosley – <strong>[Hug](https://github.com/hugapi/hug)-Autor</strong> <a href="https://news.ycombinator.com/item?id=19455465"><small>(Ref.)</small></a></div>

#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.2.2 \
    --hash=sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb \
    --hash=sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.2.2 \
    --hash=sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb \
    --hash=sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.2.2 \
    --hash=sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb \
    --hash=sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

  TF_DeleteTensor(t);
  EXPECT_TRUE(deallocator_called);
}

TEST(CAPI, LibraryLoadFunctions) {
  // TODO(b/73318067): Fix linking for the GPU test generated by the
  // tf_cuda_cc_test() bazel rule and remove the next line.
  if (!GPUDeviceName().empty()) return;

#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    // Load the library.
    TF_Status* status = TF_NewStatus();

## Ein Docker-Image für FastAPI erstellen { #build-a-docker-image-for-fastapi }

Okay, wollen wir jetzt etwas bauen! 🚀

Ich zeige Ihnen, wie Sie ein **Docker-Image** für FastAPI **von Grund auf** erstellen, basierend auf dem **offiziellen Python**-Image.

Das ist, was Sie in **den meisten Fällen** tun möchten, zum Beispiel:

#
# This file is autogenerated by pip-compile with Python 3.14
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.3.0 \
    --hash=sha256:9824a48b654a306168f63e0d97714665f8490b8d89ec7bf2efc24bf67cf579b3 \
    --hash=sha256:d96fda5c884f1b22178852f30ffa85766d50b99e00775ea626c23304f582fc4f
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

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    - Includes:
      - bazelbuild/bazel-toolchains@3.3.2
      - bazelbuild/rules_go@v0.22.7 ([#93088](https://github.com/kubernetes/kubernetes/pull/93088), [@justaugustus](https://github.com/justaugustus)) [SIG Release and Testing]
- Update Golang to v1.14.6
  - Update repo-infra to 0.0.8 (to support go1.14.6 and go1.13.14)
    - Includes:
      - bazelbuild/bazel-toolchains@3.4.0

* Hermetic CUDA support is added.

  Hermetic CUDA uses a specific downloadable version of CUDA instead of the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and NCCL distributions, and then use CUDA libraries and tools as dependencies in various Bazel targets. This enables more reproducible builds for Google ML projects and supported CUDA versions.