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Print an additional new line before calc_loss progress instead of after check_health in the feature transformer layer.
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@@ -677,7 +677,8 @@ namespace Learner
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TT.new_search();
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TimePoint elapsed = now() - Search::Limits.startTime + 1;
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cout << "PROGRESS: " << now_string() << ", ";
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cout << "\n";
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cout << "PROGRESS (calc_loss): " << now_string() << ", ";
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cout << total_done << " sfens, ";
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cout << total_done * 1000 / elapsed << " sfens/second";
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cout << ", iteration " << epoch;
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@@ -349,7 +349,7 @@ namespace Eval::NNUE {
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std::cout << "INFO: largest min activation = " << largest_min_activation
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<< ", smallest max activation = " << smallest_max_activation
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<< std::endl << std::endl;
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<< std::endl;
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std::fill(std::begin(min_activations_), std::end(min_activations_),
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std::numeric_limits<LearnFloatType>::max());
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