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This commit is contained in:
Tomasz Sobczyk
2020-10-24 13:12:32 +02:00
committed by nodchip
parent c49ae541c4
commit cf3edfed82
5 changed files with 36 additions and 39 deletions
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src/nnue/trainer/trainer_clipped_relu.h
+3 -3
View File
@@ -100,11 +100,11 @@ namespace Eval::NNUE {
std::begin(max_activations_), std::end(max_activations_));
std::cout << "INFO (check_health):"
<< " layer = " << LayerType::kLayerIndex
<< " , name = " << LayerType::get_name()
<< " layer " << LayerType::kLayerIndex
<< " - " << LayerType::get_name()
<< std::endl;
std::cout << "--> largest min activation = " << largest_min_activation
std::cout << "==> largest min activation = " << largest_min_activation
<< " , smallest max activation = " << smallest_max_activation
<< std::endl;
src/nnue/trainer/trainer_feature_transformer.h
+5 -5
View File
@@ -331,11 +331,11 @@ namespace Eval::NNUE {
// Check if there are any problems with learning
void check_health() {
std::cout << "INFO (check_health):"
<< " layer = " << LayerType::kLayerIndex
<< " , name = " << LayerType::get_name()
<< " layer " << LayerType::kLayerIndex
<< " - " << LayerType::get_name()
<< std::endl;
std::cout << "--> observed " << observed_features.count()
std::cout << "==> observed " << observed_features.count()
<< " (out of " << kInputDimensions << ") features"
<< std::endl;
@@ -343,7 +343,7 @@ namespace Eval::NNUE {
std::numeric_limits<typename LayerType::WeightType>::max() /
kWeightScale;
std::cout << "--> (min, max) of pre-activations = "
std::cout << "==> (min, max) of pre-activations = "
<< min_pre_activation_ << ", "
<< max_pre_activation_ << " (limit = "
<< kPreActivationLimit << ")"
@@ -354,7 +354,7 @@ namespace Eval::NNUE {
const auto smallest_max_activation = *std::min_element(
std::begin(max_activations_), std::end(max_activations_));
std::cout << "--> largest min activation = " << largest_min_activation
std::cout << "==> largest min activation = " << largest_min_activation
<< " , smallest max activation = " << smallest_max_activation
<< std::endl;