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Results 1 - 3 of 3 for scale_fn (0.95 sec)

  1. src/cmd/vendor/github.com/google/pprof/profile/profile.go

    		return
    	}
    	ratios := make([]float64, len(p.SampleType))
    	for i := range p.SampleType {
    		ratios[i] = ratio
    	}
    	p.ScaleN(ratios)
    }
    
    // ScaleN multiplies each sample values in a sample by a different amount
    // and keeps only samples that have at least one non-zero value.
    func (p *Profile) ScaleN(ratios []float64) error {
    	if len(p.SampleType) != len(ratios) {
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri May 31 19:48:28 UTC 2024
    - 22.3K bytes
    - Viewed (0)
  2. src/cmd/vendor/github.com/google/pprof/internal/measurement/measurement.go

    			if sampleType[i] == nil {
    				ratios[i] = 1
    				continue
    			}
    			ratios[i], _ = Scale(1, st.Unit, sampleType[i].Unit)
    			p.SampleType[i].Unit = sampleType[i].Unit
    		}
    		if err := p.ScaleN(ratios); err != nil {
    			return fmt.Errorf("scale: %v", err)
    		}
    	}
    	return nil
    }
    
    // CommonValueType returns the finest type from a set of compatible
    // types.
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri May 31 19:48:28 UTC 2024
    - 8.8K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/schema/schema_generated.h

      auto max__ = max ? _fbb.CreateVector<float>(*max) : 0;
      auto scale__ = scale ? _fbb.CreateVector<float>(*scale) : 0;
      auto zero_point__ = zero_point ? _fbb.CreateVector<int64_t>(*zero_point) : 0;
      return tflite::CreateQuantizationParameters(
          _fbb,
          min__,
          max__,
          scale__,
          zero_point__,
          details_type,
          details,
          quantized_dimension);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 21 18:21:50 UTC 2024
    - 1M bytes
    - Viewed (0)
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