},
            "properties": [
              {
                "id": "color",
                "value": {
                  "fixedColor": "light-red",
                  "mode": "fixed"
                }
              }
            ]
          },
          {
            "matcher": {
              "id": "byName",
              "options": "S3 Requests"
            },

	op_CDFBR   uint32 = 0xB395 // FORMAT_RRE        CONVERT FROM FIXED (32 to long BFP)
	op_CDFBRA  uint32 = 0xB395 // FORMAT_RRF5       CONVERT FROM FIXED (32 to long BFP)
	op_CDFR    uint32 = 0xB3B5 // FORMAT_RRE        CONVERT FROM FIXED (32 to long HFP)
	op_CDFTR   uint32 = 0xB951 // FORMAT_RRE        CONVERT FROM FIXED (32 to long DFP)
	op_CDGBR   uint32 = 0xB3A5 // FORMAT_RRE        CONVERT FROM FIXED (64 to long BFP)

ets":[{"datasource":{"type":"prometheus","uid":"${datasource}"},"refId":"A"}],"transparent":true,"type":"text"},{"datasource":{"type":"prometheus","uid":"${datasource}"},"fieldConfig":{"defaults":{"color":{"fixedColor":"rgb(31, 120, 193)","mode":"fixed"},"mappings":[{"options":{"match":"null","result":{"text":"N/A"}},"type":"special"}],"thresholds":{"mode":"absolute","steps":[{"color":"green","value":null},{"color":"red","value":80}]},"unit":"ops"},"overrides":[]},"gridPos":{"h":3,"w":6,"x":0,"y...

        "type": "prometheus",
        "uid": "${datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "fixedColor": "rgb(31, 120, 193)",
            "mode": "fixed"
          },
          "mappings": [
            {
              "options": {
                "match": "null",
                "result": {
                  "text": "N/A"
                }
              },

        "type": "prometheus",
        "uid": "${datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "fixedColor": "rgb(31, 120, 193)",
            "mode": "fixed"
          },
          "mappings": [
            {
              "options": {
                "match": "null",
                "result": {
                  "text": "N/A"
                }
              },

void Conv2DOp::getCanonicalizationPatterns(RewritePatternSet& results,
                                           MLIRContext* context) {
  // TODO(b/180121750): Enable the pattern after the integration tests are
  // fixed.
  // results.add<RemoveOptionalZeroBias<Conv2DOp>>(context);
}

static LogicalResult ComputeConvWindowedOutputSize(
    int64_t input_size, int64_t filter_size, int64_t dilation_rate,

          }
          flex_builder->EndVector(start, /*typed=*/true, /*fixed=*/false);
        } else if (attr.list().i_size() > 0) {
          auto start = flex_builder->StartVector(key);
          for (const int64_t v : attr.list().i()) {
            flex_builder->Add(v);
          }
          flex_builder->EndVector(start, /*typed=*/true, /*fixed=*/false);
        } else if (attr.list().f_size() > 0) {

          "podFixed": {
            "additionalProperties": {
              "$ref": "#/components/schemas/io.k8s.apimachinery.pkg.api.resource.Quantity"
            },
            "description": "podFixed represents the fixed resource overhead associated with running a pod.",
            "type": "object"
          }
        },
        "type": "object"
      },
      "io.k8s.api.node.v1.RuntimeClass": {

}

def TensorFlowShapeInferencePass : Pass<"tf-shape-inference", "ModuleOp"> {
  let summary =
    "Shape inference on TF dialect and ops implementing InferTypeOpInterface";

  let description = [{
    Fixed point shape refinement pass that utilizes the shape functions
    registered on ops using the InferTypeOpInterface as well as by bridging to
    the TensorFlow op registry's shape functions. This is an interprocedural

// should be performed by other components (like the volume manager). The duration
// of this call is the minimum latency for static pods to be restarted if they
// are updated with a fixed UID (most should use a dynamic UID), and no config
// updates are delivered to the pod workers while this method is running.
func (kl *Kubelet) HandlePodCleanups(ctx context.Context) error {