From c9cb208275f5907ca426245576eb7a82117db35b Mon Sep 17 00:00:00 2001
From: Jens Ahrensfeld <jens@jayfield.org>
Date: Mon, 10 Jan 2022 16:00:39 +0000
Subject: [PATCH] - Layer: removed legacy training load/save

git-svn-id: http://moon:8086/svn/software/trunk/projects/Rbm@779 b431acfa-c32f-4a4a-93f1-934dc6c82436
---
 source/Stack.cpp | 75 +++---------------------------------------------
 1 file changed, 4 insertions(+), 71 deletions(-)

diff --git a/source/Stack.cpp b/source/Stack.cpp
index b732e0a..3ff5992 100644
--- a/source/Stack.cpp
+++ b/source/Stack.cpp
@@ -239,54 +239,13 @@ size_t Stack::loadTrainingBatch(bool doNormalize)
 
 	if (success)
 	{
+		if (doNormalize)
+		{
+			m_trainingBatch = Rbm::normalize(m_trainingBatch);
+		}
 		std::cout << "Loaded " << m_trainingBatch.n_rows << " training samples\n";
 		return m_trainingBatch.n_rows;
 	}
-	
-	uint32_t numTraining = 0;
-	uint32_t numVisible = 0;
-
-	FILE *pFile = fopen(filename.c_str(), "r");
-
-	if (!pFile)
-	{
-		std::cout << "Could not open " << filename << "!" << std::endl;
-		return 0;
-	}
-
-	int result = fscanf(pFile, "%d\n", &numTraining);
-	if (result < 0)
-	{
-		return 0;
-	}
-	result = fscanf(pFile, "%d\n", &numVisible);
-	if (result < 0)
-	{
-		return 0;
-	}
-	m_trainingBatch = arma::zeros(numTraining, numVisible);
-	
-	uint32_t i, j;
-	for (i=0; i < numTraining; i++)
-	{
-		for (j=0; j < numVisible; j++)
-		{
-			float v;
-			int result = fscanf(pFile, "%f", &v);
-			if (result > 0)
-			{
-				m_trainingBatch(i, j) = v;
-			}
-		}
-	}
-	fclose(pFile);
-	std::cout << "Loaded " << numTraining << " training samples\n";
-	
-	if (doNormalize)
-	{
-		m_trainingBatch = Rbm::normalize(m_trainingBatch);
-	}
-	return numTraining;
 }
 
 size_t Stack::saveTrainingBatch()
@@ -299,32 +258,6 @@ size_t Stack::saveTrainingBatch()
 		std::cout << "Saved " << m_trainingBatch.n_rows << " training samples\n";
 		return m_trainingBatch.n_rows;
 	}
-
-	FILE *pFile = fopen(filename.c_str(), "w");
-
-	if (!pFile)
-	{
-		std::cout << "Could not open " << filename << "!" << std::endl;
-		return 0;
-	}
-
-	fprintf(pFile, "%u\n", (uint32_t)m_trainingBatch.n_rows);
-	fprintf(pFile, "%u\n", (uint32_t)m_trainingBatch.n_cols);
-
-	uint32_t i, j;
-
-	for (i=0; i < m_trainingBatch.n_rows; i++)
-	{
-		for (j=0; j < m_trainingBatch.n_cols; j++)
-		{
-			fprintf(pFile, "%3.6f\n", m_trainingBatch(i, j));
-		}
-	}
-
-	fclose(pFile);
-	
-	std::cout << "Saved " << m_trainingBatch.n_rows << " training samples\n";
-	return m_trainingBatch.n_rows;
 }
 
 size_t Stack::numTraining()