Searched refs:kNumSamples (Results 1 – 4 of 4) sorted by relevance
47 static constexpr int kNumSamples = 4; in TEST_F() local52 for (int i = 0; i < kNumSamples; ++i) { in TEST_F()58 for (int i = 0; i < kNumSamples; ++i) { in TEST_F()71 static constexpr int kNumSamples = 4; in TEST_F() local75 for (int i = 0; i < kNumSamples; ++i) { in TEST_F()114 static constexpr int kNumSamples = 4; in TEST_F() local122 for (int i = 0; i < kNumSamples; ++i) { in TEST_F()128 for (int i = 0; i < kNumSamples; ++i) { in TEST_F()132 for (int i = 0; i < kNumSamples; ++i) { in TEST_F()151 static constexpr int kNumSamples = 4; in TEST_F() local[all …]
108 constexpr int kNumSamples = 128; in TEST() local111 MultinomialOpModel multinomial(kBatchSize, kNumClasses, kNumSamples); in TEST()130 static_cast<float>(class_counts[i]) / static_cast<float>(kNumSamples); in TEST()
392 const int kNumSamples = 128; in expectMultinomialDistributionWithinTolerance() local417 static_cast<float>(class_counts[i]) / static_cast<float>(kNumSamples); in expectMultinomialDistributionWithinTolerance()
155 const int kNumSamples = outputOperand.dimensions[1]; in expectMultinomialDistributionWithinTolerance() local185 static_cast<float>(classCounts[i]) / static_cast<float>(kNumSamples); in expectMultinomialDistributionWithinTolerance()