TFL_TensorOf<[F32, I8]>:$fw_recurrent_to_output_weights,

    // Forward Cell weights
    TFL_TensorOfOrNone<[F32, I8]>:$fw_cell_to_input_weights,
    // Optional Forward cell weights
    TFL_TensorOfOrNone<[F32, I8]>:$fw_cell_to_forget_weights,
    // Optional Forward cell weights
    TFL_TensorOfOrNone<[F32, I8]>:$fw_cell_to_output_weights,

    // Forward Bias

	}
	return
}

func validateRouteDestinations(weights []*networking.RouteDestination, gatewaySemantics bool) (errs error) {
	var totalWeight int32
	for _, weight := range weights {
		if weight == nil {
			errs = multierror.Append(errs, errors.New("weight may not be nil"))
			continue
		}
		if weight.Destination == nil {

	return buildScoreConfigWithWeights(defaultWeights, ps...)
}

func buildScoreConfigWithWeights(weights map[string]int32, ps ...string) *config.Plugins {
	var plugins []config.Plugin
	for _, p := range ps {
		plugins = append(plugins, config.Plugin{Name: p, Weight: weights[p]})
	}
	return &config.Plugins{Score: config.PluginSet{Enabled: plugins}}
}

type injectedResult struct {

      ValueReference<K, V> previous = entry.getValueReference();
      int weight = map.weigher.weigh(key, value);
      checkState(weight >= 0, "Weights must be non-negative");

      ValueReference<K, V> valueReference =
          map.valueStrength.referenceValue(this, entry, value, weight);
      entry.setValueReference(valueReference);
      recordWrite(entry, weight, now);
      previous.notifyNewValue(value);
    }

      ValueReference<K, V> previous = entry.getValueReference();
      int weight = map.weigher.weigh(key, value);
      checkState(weight >= 0, "Weights must be non-negative");

      ValueReference<K, V> valueReference =
          map.valueStrength.referenceValue(this, entry, value, weight);
      entry.setValueReference(valueReference);
      recordWrite(entry, weight, now);
      previous.notifyNewValue(value);
    }

      "description": "The weights of all of the matched WeightedPodAffinityTerm fields are added per-node to find the most preferred node(s)",
      "properties": {
        "podAffinityTerm": {
          "$ref": "#/definitions/io.k8s.api.core.v1.PodAffinityTerm",
          "description": "Required. A pod affinity term, associated with the corresponding weight."
        },
        "weight": {

additionalProperties: type: integer description: Set of ports associated with the endpoint. type: object serviceAccount: description: The service account associated with the workload if a sidecar is present in the workload. type: string weight: description: The load balancing weight associated with the endpoint. type: integer type: object type: array exportTo: description: A list of namespaces to which this service is exported. items: type: string type: array hosts: description: The hosts associated with the...

        /*input=*/new_filter);
    rewriter.replaceAllUsesExcept(filter_op->getResult(0), dq.getOutput(), dq);
  }

 private:
  // Returns new quantized type for weights after transpose.
  Type GetNewWeightQuantizedType(MLIRContext* context, Location location,
                                 ArrayRef<int64_t> new_shape, Type filter_type,

        // This filter goes through quantize and dequantize ops. Then we just
        // need to update the weight to the quantize op.
        filter.replaceAllUsesWith(new_filter_op);
      } else {
        // This filter doesn't go through quantize and dequantize ops, Then
        // we update the weight of the affine op directly.
        fc_op.setOperand(1, new_filter_op);
      }
    } else {

129 129 green 0.04 5.1 0.1 32 17 6.71 1295 291 4 Queens 029100 4029100 E QN28 Jackson Heights 4102 627 309.03 4 Queens 030903 4030903 E QN28 Jackson Heights 4102 3389472 1 2014-03-25 15:03:41 2014-03-25 15:16:35 N 1 -73.89447021484375 40.748607635498047 -73.932670593261719 40.744777679443359 1 2.60 12 0 0.5 0 0 12.5 2 129 226 green 0.00 0.0 0.0 39 26 5.82 1295 291 4 Queens 029100 4029100 E QN28 Jackson Heights 4102 2063 179 4 Queens 017900 4017900 E QN31 Hunters Point-Sunnyside-West Maspeth 4109...