is_scalar_rhs = true;
    } else if (constant_val_type.getRank() > 1) {
      return failure();
    }

    Value filter = fc_op.getFilter();
    Value bias = fc_op.getBias();
    ElementsAttr bias_value;
    const bool is_none_bias = mlir::isa<NoneType>(bias.getType());
    if (fc_op.getFusedActivationFunction() != "NONE") return failure();

  // Bias tensor is optional.
  const bool has_bias = !(!getBias() || getBias().getType().isa<NoneType>());

  // Get the tensors.
  DenseElementsAttr input_tensor, weights_tensor, bias_tensor;
  if (!matchPattern(getInput(), m_Constant(&input_tensor)) ||
      !matchPattern(getFilter(), m_Constant(&weights_tensor)) ||
      (has_bias && !matchPattern(getBias(), m_Constant(&bias_tensor)))) {
    return failure();
  }

		ProbeManager:                    kubelet.probeManager,
		Recorder:                        fakeRecorder,
		NodeRef:                         nodeRef,
		GetPodsFunc:                     kubelet.podManager.GetPods,
		KillPodFunc:                     killPodNow(kubelet.podWorkers, fakeRecorder),
		SyncNodeStatusFunc:              func() {},
		ShutdownGracePeriodRequested:    0,
		ShutdownGracePeriodCriticalPods: 0,
	})

// those pods during admission may still be in use. See
// https://github.com/kubernetes/kubernetes/issues/104824
func (kl *Kubelet) GetActivePods() []*v1.Pod {
	allPods := kl.podManager.GetPods()
	activePods := kl.filterOutInactivePods(allPods)
	return activePods
}

// makeBlockVolumes maps the raw block devices specified in the path of the container
// Experimental

          "format");
  }

  if (!IsOfRankOrUnranked(op.getBias(), 1))
    return op.emitOpError("requires bias operand to have rank exactly one");

  RankedTensorType value_ty =
      mlir::dyn_cast<RankedTensorType>(op.getValue().getType());
  RankedTensorType bias_ty =
      mlir::dyn_cast<RankedTensorType>(op.getBias().getType());
  if (!bias_ty || !value_ty) return success();

Method <org.gradle.api.artifacts.repositories.FlatDirectoryArtifactRepository.getDirs()> does not have raw return type assignable to org.gradle.api.provider.Property in (FlatDirectoryArtifactRepository.java:0)

    ShapedTypeComponents inferred = std::get<1>(result);
    TensorType inferred_type;
    if (inferred.hasRank()) {
      inferred_type =
          RankedTensorType::get(inferred.getDims(), inferred.getElementType());

    } else {
      inferred_type = UnrankedTensorType::get(inferred.getElementType());
    }
    inferred_type =