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Results 21 - 23 of 23 for modelSet (0.11 sec)

  1. src/cmd/vendor/github.com/google/pprof/internal/report/report.go

    				numUnits[k] = append(numUnits[k], numUnit...)
    			}
    		}
    		s.NumLabel = numLabels
    		s.NumUnit = numUnits
    	}
    
    	// Remove label marking samples from the base profiles, so it does not appear
    	// as a nodelet in the graph view.
    	prof.RemoveLabel("pprof::base")
    
    	formatTag := func(v int64, key string) string {
    		return measurement.ScaledLabel(v, key, o.OutputUnit)
    	}
    
    	gopt := &graph.Options{
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri May 31 19:48:28 UTC 2024
    - 37.5K bytes
    - Viewed (0)
  2. pilot/pkg/model/service.go

    // There is one well defined set of labels for each service instance network endpoint.
    //
    // For example, the set of service instances associated with catalog.mystore.com
    // are modeled like this
    //
    //	--> IstioEndpoint(172.16.0.1:8888), Service(catalog.myservice.com), Labels(foo=bar)
    //	--> IstioEndpoint(172.16.0.2:8888), Service(catalog.myservice.com), Labels(foo=bar)
    Registered: Fri Jun 14 15:00:06 UTC 2024
    - Last Modified: Wed May 29 02:03:58 UTC 2024
    - 46.3K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/ir/tfl_ops.td

    `-1-input.dims() <= dim <= input.dims()`
    
    This operation is related to `squeeze()`, which removes dimensions of
    size 1.
      }];
    
      // TODO: Restriction on dim's size and valid range are not modeled here.
      let arguments = (ins AnyTensor:$input, TFL_I32OrI64Tensor:$dim);
    
      let results = (outs AnyTensor:$output);
    
      let hasOptions = 1;
    }
    
    def TFL_SqueezeOp: TFL_Op<"squeeze", [Pure,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
    - Viewed (0)
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