auto it = buffer_to_size->find(addn.getOperand(0));
      if (it != buffer_to_size->end()) {
        addn.getSum().setType(
            mlir::cast<TensorType>(addn.getOperand(0).getType()));
        auto size = it->getSecond();
        (*buffer_to_size)[addn.getSum()] = size;
      }
    } else if (auto zeros = llvm::dyn_cast<TF::ZerosLikeOp>(&op)) {
      if (buffer_to_size->count(zeros.getX()) > 0) {

      continue;

    const auto inputs = partitioned_input.getInputs();
    const bool packed_input = partitioned_input.getIsPacked();
    int num_cores_per_replica = partitioned_input.getN();
    if (num_cores_per_replica_attr) {
      num_cores_per_replica = num_cores_per_replica_attr.getInt();
    } else if (packed_input) {
      return partitioned_input->emitOpError()

  if (!status->status.ok()) return;
  auto run_metadata = context->ExportRunMetadata();
  status->status = MessageToBuffer(*run_metadata, buf);
}

namespace {
TFE_Op* GetFunc(TFE_Context* ctx, const tensorflow::NameAttrList& func,
                TF_Status* status) {
  TFE_Op* func_op = TFE_NewOp(ctx, func.name().data(), status);
  for (const auto& attr : func.attr()) {

    Operation* op, PatternRewriter& rewriter) const {
  auto tf_unpack_op = cast<TF::UnpackOp>(op);

  auto input = tf_unpack_op.getValue();
  auto num = rewriter.getI32IntegerAttr(tf_unpack_op.getNum());
  // Axis can be negative.
  auto axis = rewriter.getI32IntegerAttr(tf_unpack_op.getAxis());

  rewriter.replaceOpWithNewOp<UnpackOp>(op, tf_unpack_op.getOutput().getTypes(),

</div>

wird das, da Uvicorn standardmäßig den Port `8000` verwendet, mit der Dokumentation auf dem Port `8008` nicht in Konflikt geraten.

### Übersetzungen

Hilfe bei Übersetzungen wird SEHR geschätzt! Und es kann nicht getan werden, ohne die Hilfe der Gemeinschaft. 🌎 🚀

Hier sind die Schritte, die Ihnen bei Übersetzungen helfen.

#### Tipps und Richtlinien

  // TODO(fengliuai): moving the following to an utility method.
  const llvm::fltSemantics& semantics = op.getMin().getSemantics();
  float rmin, rmax;
  if (&semantics == &APFloat::IEEEsingle()) {
    rmin = op.getMin().convertToFloat();
    rmax = op.getMax().convertToFloat();
  } else {
    rmin = op.getMin().convertToDouble();
    rmax = op.getMax().convertToDouble();
  }
  // Range boundaries must be valid.

        new_value = parent->getResult(operand.getOperandNumber());
      } else if (auto replicate =
                     llvm::dyn_cast<tf_device::ReplicateOp>(parent)) {
        int n = replicate.getN();
        new_value = parent->getResult(operand.getOperandNumber() * n);
      } else {
        parent->emitOpError("Unsupported wrapper op.");
        return nullptr;
      }
    }
    if (!new_value) {

  // Look up function definition from module.
  mlir::func::FuncOp func =
      cluster_func->getParentOfType<ModuleOp>()
          .lookupSymbol<mlir::func::FuncOp>(cluster_func.getFunc());

  bool use_spmd = false;
  if (auto use_spmd_attr = cluster_func->getAttrOfType<BoolAttr>(kUseSpmdAttr))
    use_spmd = use_spmd_attr.getValue();

  auto num_cores_per_replica_attr =

            try {
                String output = xcodebuild.execute(Collections.singletonList("-version"), Collections.singletonList("DEVELOPER_DIR=" + xcodeInstall.getAbsolutePath())).getOut();
                Pattern versionRegex = Pattern.compile("Xcode (\\d+\\.\\d+(\\.\\d+)?)");
                Matcher matcher = versionRegex.matcher(output);
                if (matcher.find()) {

		imageName = global.GetProxy().GetImage()
	}

	if it, ok := annotations[annotation.SidecarProxyImageType.Name]; ok {
		imageType = it
	}

	return imageURL(global.GetHub(), imageName, tag, imageType)
}

func InboundTrafficPolicyMode(meshConfig *meshconfig.MeshConfig) string {
	switch meshConfig.GetInboundTrafficPolicy().GetMode() {