}

// Returns the quantized type for the
// input_type/min/max/storag_type_width/narrow_range.
// This is entry point to the Quant dialect and used for both quantizing
// activations and weights.
Type GetQuantizedType(Builder builder, const Type input_type,
                      const ArrayRef<double> min, const ArrayRef<double> max,
                      const int quant_dim, const int storage_type_width,

format which contains three 1D tensors.
  }];

  let arguments = (ins
    TF_Int32Tensor:$indices_or_row_splits,
    TF_Int32Tensor:$values,
    TF_Float32Tensor:$weights,

    ConfinedAttr<I64Attr, [IntMinValue<1>]>:$sample_count,
    StrAttr:$combiner
  );

  let results = (outs
    TF_Int32Tensor:$row_ids,
    TF_Int32Tensor:$col_ids,

  }];

  let description = [{
Outputs a vector with length `size` and the same dtype as `weights`. If
`weights` are empty, then index `i` stores the number of times the value `i` is
counted in `arr`. If `weights` are non-empty, then index `i` stores the sum of
the value in `weights` at each index where the corresponding value in `arr` is
`i`.

Values in `arr` outside of the range [0, size) are ignored.

			Address: netutils.ParseIPSloppy(ip),
			Port:    uint16(portNum),
			Weight:  1,
		}

		if curEndpoints.Has(ep) {
			// if we are syncing for the first time, loop through all current destinations and
			// reset their weight.
			if proxier.initialSync {
				for _, dest := range curDests {
					if dest.Weight != newDest.Weight {
						err = proxier.ipvs.UpdateRealServer(appliedVirtualServer, newDest)

}

// WeightedPodAffinityTerm represents the weights of all of the matched WeightedPodAffinityTerm
// fields are added per-node to find the most preferred node(s)
type WeightedPodAffinityTerm struct {
	// weight associated with matching the corresponding podAffinityTerm,
	// in the range 1-100.
	Weight int32
	// Required. A pod affinity term, associated with the corresponding weight.
	PodAffinityTerm PodAffinityTerm
}

var map_WeightedPodAffinityTerm = map[string]string{
	"":                "The weights of all of the matched WeightedPodAffinityTerm fields are added per-node to find the most preferred node(s)",
	"weight":          "weight associated with matching the corresponding podAffinityTerm, in the range 1-100.",
	"podAffinityTerm": "Required. A pod affinity term, associated with the corresponding weight.",
}

        /*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 {

// maximum combined weight for concurrent access.
func NewWeighted(n int64) *Weighted {
	w := &Weighted{size: n}
	return w
}

// Weighted provides a way to bound concurrent access to a resource.
// The callers can request access with a given weight.
type Weighted struct {
	size    int64
	cur     int64
	mu      sync.Mutex
	waiters list.List
}

}

// The weights of all of the matched WeightedPodAffinityTerm fields are added per-node to find the most preferred node(s)
message WeightedPodAffinityTerm {
  // weight associated with matching the corresponding podAffinityTerm,
  // in the range 1-100.
  optional int32 weight = 1;

  // Required. A pod affinity term, associated with the corresponding weight.
  optional PodAffinityTerm podAffinityTerm = 2;