- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 195 for percentile (0.15 sec)
-
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir
// HISTOGRAM-PERCENTILE-CHECK-NEXT: "tf.AddV2" // HISTOGRAM-PERCENTILE-CHECK-NEXT: return // HISTOGRAM-PERCENTILE-CHECK: func @composite_conv2d_with_relu6_fn // HISTOGRAM-PERCENTILE-CHECK-NEXT: "tf.Conv2D" // HISTOGRAM-PERCENTILE-CHECK-NEXT: "tf.Relu6" // HISTOGRAM-PERCENTILE-CHECK-NEXT: return // CalibrationOptions( // calibration_method=CALIBRATION_METHOD_HISTOGRAM_MSE_BRUTEFORCE,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 32.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/tf_quant_ops.td
I32Attr:$calibration_method, // The number of histogram bins. I32Attr:$num_bins, // Min percentile to be included in the selected range, only used in the // `HISTOGRAM_PERCENTILE` method. F32Attr:$min_percentile, // Max percentile to be included in the selected range, only used in the // `HISTOGRAM_PERCENTILE` method. F32Attr:$max_percentile );
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm.py
"""Calculates min and max from statistics using calibration options. A "percentile" is a statistical concept that represents the value below which a given percentage of data falls in a dataset. It involves sorting the data from smallest to largest and then finding the value at a specified percentage position. For example, the 0.01 percentile represents the value in a given data set that corresponds to the lowest 0.01% of the data.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 14.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/quantization_config.proto
// Use the min, max values of all sample datasets. CALIBRATION_METHOD_MIN_MAX = 1; // Use the average of min, max values in each sample dataset. CALIBRATION_METHOD_AVERAGE_MIN_MAX = 2; // Use the min/max percentile value of histogram. CALIBRATION_METHOD_HISTOGRAM_PERCENTILE = 3; // Use the histogram mid values that minimize MSE error. // This is very slow algorithm because it computes all errors for all
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 14.3K bytes - Viewed (0) -
src/internal/trace/traceviewer/mmu.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Nov 21 21:29:53 UTC 2023 - 13K bytes - Viewed (0) -
pilot/pkg/bootstrap/istio_ca.go
selfSignedRootCertGracePeriodPercentile = env.Register("CITADEL_SELF_SIGNED_ROOT_CERT_GRACE_PERIOD_PERCENTILE", cmd.DefaultRootCertGracePeriodPercentile, "Grace period percentile for self-signed root cert.") enableJitterForRootCertRotator = env.Register("CITADEL_ENABLE_JITTER_FOR_ROOT_CERT_ROTATOR", true, "If true, set up a jitter to start root cert rotator. "+
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu Jun 13 17:48:28 UTC 2024 - 20.6K bytes - Viewed (0) -
android/guava/src/com/google/common/math/Quantiles.java
* * <p>To compute the 99th percentile: * * <pre>{@code * double myPercentile99 = percentiles().index(99).compute(myDataset); * }</pre> * * where {@link #percentiles()} has been statically imported. * * <p>To compute median and the 90th and 99th percentiles: * * <pre>{@code * Map<Integer, Double> myPercentiles = * percentiles().indexes(50, 90, 99).compute(myDataset); * }</pre> *
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 29.9K bytes - Viewed (0) -
guava/src/com/google/common/math/Quantiles.java
* * <p>To compute the 99th percentile: * * <pre>{@code * double myPercentile99 = percentiles().index(99).compute(myDataset); * }</pre> * * where {@link #percentiles()} has been statically imported. * * <p>To compute median and the 90th and 99th percentiles: * * <pre>{@code * Map<Integer, Double> myPercentiles = * percentiles().indexes(50, 90, 99).compute(myDataset); * }</pre> *
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 29.9K bytes - Viewed (0) -
src/internal/trace/gc.go
// // The mutator utilization distribution is the distribution of mean // mutator utilization across all windows of the given window size in // the trace. // // The minimum mutator utilization is the minimum (0th percentile) of // this distribution. (However, if only the minimum is desired, it's // more efficient to use the MMU method.) func (c *MMUCurve) MUD(window time.Duration, quantiles []float64) []float64 { if len(quantiles) == 0 {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 17 18:48:18 UTC 2024 - 26K bytes - Viewed (0) -
src/internal/trace/traceviewer/static/trace_viewer_full.html
this.running_=this.running_.merge(other.running_);}
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Nov 21 20:45:06 UTC 2023 - 2.5M bytes - Viewed (0)