return ret;
}

// On success, returns a set of TF_Function instances from `text_proto` of
// GraphDef type. These functions must be deleted by calling TF_DeleteFunction.
//
// If `mutate_proto_func` is non-NULL, run it over each FunctionDef proto,
// before creating a TF_Function out of the possibly mutated proto.
static std::vector<UniqueFuncPtr> CreateFunctionsFromTextProto(
    const char* text_proto,

volume will be bound existingClaim: "" ## minio data Persistent Volume Storage Class ## If defined, storageClassName: <storageClass> ## If set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## ## Storage class of PV to bind. By default it looks for standard storage class. ## If the PV uses a different storage class,...

volume will be bound existingClaim: "" ## minio data Persistent Volume Storage Class ## If defined, storageClassName: <storageClass> ## If set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## ## Storage class of PV to bind. By default it looks for standard storage class. ## If the PV uses a different storage class,...

volume will be bound existingClaim: "" ## minio data Persistent Volume Storage Class ## If defined, storageClassName: <storageClass> ## If set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## ## Storage class of PV to bind. By default it looks for standard storage class. ## If the PV uses a different storage class,...

    private HtmlResponse asIndexHtml() {
        return asHtml(path_AdminMaintenance_AdminMaintenanceJsp).useForm(ActionForm.class, op -> op.setup(f -> {
            f.replaceAliases = Constants.ON;
            f.resetDictionaries = null;
        }));
    }

    /**
     * Starts a reindex operation based on the provided form parameters.
     *
     * @param form the action form containing reindex configuration

    absl::Span<AbstractTensorHandle* const> output_gradients,
    absl::Span<AbstractTensorHandle*> result) const {
  if (gradient_function == nullptr) {
    return absl::InvalidArgumentError(absl::StrCat(
        "Provided null gradient_function for '", op_type, "'.\n",
        "If the intent is to treat this op as non-differentiable consider ",
        "using RegisterNotDifferentiable or ",
        "NotDifferentiableGradientFunction."));
  }

    assertThat(cache.getIfPresent(60)).isEqualTo(70);
    assertThat(cache.getIfPresent(5)).isEqualTo(5);
  }

  private static <K> boolean containsKey(Cache<K, ?> cache, K key) {
    return cache.getIfPresent(key) != null;
  }

  @Test
  public void invalidate() {
    Cache<Integer, Integer> cache = CacheBuilder.newBuilder().build();

    cache.put(654, 2675);
    cache.put(2456, 56);
    cache.put(2, 15);

   * guarantees {@code strictfp}-like semantics.)
   */
  @Override
  public boolean equals(@Nullable Object obj) {
    if (obj == null) {
      return false;
    }
    if (getClass() != obj.getClass()) {
      return false;
    }
    PairedStats other = (PairedStats) obj;
    return xStats.equals(other.xStats)

    description: str | None = None
    url: AnyUrl


# Ref JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-validation#name-type
SchemaType = Literal[
    "array", "boolean", "integer", "null", "number", "object", "string"
]


class Schema(BaseModelWithConfig):
    # Ref: JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-core.html#name-the-json-schema-core-vocabu
    # Core Vocabulary

@test "Verify that it's possible to query every TensorFlow target without BUILD errors" {
    bazel query "deps(//tensorflow/... -attr(tags, 'manual', //tensorflow/...))" > /dev/null
}

teardown_file() {
    bazel shutdown