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cmd/tier-last-day-stats.go
l.UpdatedAt = t // update to the latest time index if since >= 24 { l.Bins = [24]tierStats{} return } for lastIdx != idx { lastIdx = (lastIdx + 1) % 24 l.Bins[lastIdx] = tierStats{} } } func (l *lastDayTierStats) clone() lastDayTierStats { clone := lastDayTierStats{ UpdatedAt: l.UpdatedAt, } copy(clone.Bins[:], l.Bins[:]) return clone }
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Mon Feb 19 22:54:46 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics_collector_histogram.h
std::pair<int32_t, int32_t> ExpandHistogramIfNeeded(float lower_bound, float upper_bound); // hist_freq_[i] saves frequency of range [bins[i], bins[i + 1]). // bins[i] = lower_bound_ + bin_width_ * i // bins[i + 1] = lower_bound_ + bin_width_ * (i + 1) std::deque<float> hist_freq_; // Width of bin float bin_width_; // The first bin's left value. [left, right)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 16 04:33:52 UTC 2024 - 2.5K bytes - Viewed (0) -
cmd/tier-last-day-stats_gen.go
// map header, size 2 // write "Bins" err = en.Append(0x82, 0xa4, 0x42, 0x69, 0x6e, 0x73) if err != nil { return } err = en.WriteArrayHeader(uint32(24)) if err != nil { err = msgp.WrapError(err, "Bins") return } for za0001 := range z.Bins { err = z.Bins[za0001].EncodeMsg(en) if err != nil { err = msgp.WrapError(err, "Bins", za0001) return } }
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Thu Mar 21 17:21:35 UTC 2024 - 9.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/calibration/calibration_parameters_test.cc
// Calculate the bin width with the actual num bins. float raw_bin_width = 256.0 / actual_num_bins; EXPECT_FLOAT_EQ(bin_width, raw_bin_width); } TEST(CalibrationParametersTest, CalculateNumBinsDivisible) { int32_t num_bins = CalculateActualNumBins( /*min_value=*/0.0, /*max_value=*/4.0, /*bin_width=*/2.0); // Expect 2 bins: [0, 2), [2, 4]. EXPECT_EQ(num_bins, 2); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 05 09:09:34 UTC 2024 - 3.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics.proto
// lower_bound and bin_width can be used to restore the histogram. float lower_bound = 2; // hist_freq[i] saves frequency of range [bins[i], bins[i + 1]). // bins[i] = lower_bound + bin_width * i // bins[i + 1] = lower_bound + bin_width * (i + 1) repeated float hist_freq = 3; } MinMaxStatistics min_max_statistics = 1; AverageMinMaxStatistics average_min_max_statistics = 2;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 16 04:33:52 UTC 2024 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/calibration/calibration_parameters.h
namespace stablehlo::quantization { // Calculates the bin width from the range and expected number of bins. The // bin width is formalized to the form of 2^n. As a consequence, the actual // number of bins might be smaller than the given `num_bins`. inline float CalculateBinWidth(const float min_value, const float max_value, const int32_t num_bins) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 3.3K bytes - Viewed (0) -
hack/update-generated-docs.sh
set -o pipefail KUBE_ROOT=$(dirname "${BASH_SOURCE[0]}")/.. source "${KUBE_ROOT}/hack/lib/init.sh" kube::golang::setup_env kube::util::ensure-temp-dir BINS=( ./cmd/gendocs ./cmd/genkubedocs ./cmd/genman ./cmd/genyaml ) GOPROXY=off go install "${BINS[@]}" # Run all doc generators. # $1 is the directory to put those generated documents generate_docs() { local dest="$1"
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Mar 01 06:07:33 UTC 2024 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm.py
self._hist_freq = np.array(hist_stats.hist_freq) self._num_bins = len(self._hist_freq) self._num_bits = 8 # i-th bin has a range [bins[i], bins[i + 1]). # bins[i] = lower_bound + i * bin_width # bins[i + 1] = lower_bound + (i + 1) * bin_width # So hist_mids[i] = (lower_bound + bin_width / 2) + bin_width * i first_mid = self._lower_bound + self._bin_width / 2
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 14.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/tf_quant_ops.td
// The unique id of this `CustomAggregator` op. StrAttr:$id, // The integer value of the enforcing `CalibrationMethod`. 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,
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/stablehlo/quantization_config.proto
// range. CALIBRATION_METHOD_HISTOGRAM_MSE_SYMMETRIC = 6; } // Parameters required for calibration. // Next ID: 4 message CalibrationParameters { // The number of histogram bins. Default to 512. int32 num_bins = 1; // min_percentile is only used in HISTOGRAM_PERCENTILE. // min_percentile is 0.001 by default. float min_percentile = 2;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 14.3K bytes - Viewed (0)