Searched refs:sorted_values (Results 1 – 5 of 5) sorted by relevance
/external/tensorflow/tensorflow/core/grappler/costs/ |
D | robust_stats.cc | 65 const std::vector<double> &sorted_values) { in ScaledMedianAbsoluteDeviation() argument 66 double median = SortedMedian(sorted_values); in ScaledMedianAbsoluteDeviation() 71 deviations.reserve(sorted_values.size()); in ScaledMedianAbsoluteDeviation() 72 for (double d : sorted_values) { in ScaledMedianAbsoluteDeviation() 91 double UpdateHuberMean(const std::vector<double> &sorted_values, double mean, in UpdateHuberMean() argument 96 for (double d : sorted_values) { in UpdateHuberMean() 127 void RobustStats::HuberMAD(const std::vector<double> &sorted_values) { in HuberMAD() argument 129 ScaledMedianAbsoluteDeviation(sorted_values); in HuberMAD() 146 mean_ = UpdateHuberMean(sorted_values, mean_, margin); in HuberMAD()
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/external/tensorflow/tensorflow/compiler/xla/service/ |
D | hlo_alias_analysis.cc | 514 std::vector<const HloValue*> sorted_values(value_set.begin(), in Run() local 516 absl::c_sort(sorted_values, HloValue::IdLessThan); in Run() 517 alias_analysis->buffers_.emplace_back(next_id++, sorted_values); in Run() 518 for (const HloValue* value : sorted_values) { in Run()
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/external/v8/tools/ |
D | eval_gc_nvp.py | 108 sorted_values = sorted(self.values) 111 ret.append(" {0}%: {1}".format(percentile, sorted_values[index]))
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/external/tensorflow/tensorflow/lite/kernels/ |
D | detection_postprocess.cc | 490 std::vector<float> sorted_values; in NonMaxSuppressionMultiClassRegularHelper() local 491 sorted_values.resize(max_detections); in NonMaxSuppressionMultiClassRegularHelper() 524 sorted_values[row] = scores_after_regular_non_max_suppression[temp]; in NonMaxSuppressionMultiClassRegularHelper() 529 scores_after_regular_non_max_suppression[row] = sorted_values[row]; in NonMaxSuppressionMultiClassRegularHelper()
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | lookup_ops_test.py | 2557 sorted_values = np.sort(self.evaluate(exported_values)) 2559 self.assertAllEqual([0, 1, 2], sorted_values) 2731 sorted_values = np.sort(self.evaluate(exported_values), axis=0) 2734 self.assertAllEqual(sorted_expected_values, sorted_values)
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