[ti-machine-learning/ti-machine-learning.git] / debian / ti-timl / usr / src / timl / src / common / cnn / timlCNNTrainingParamsWriteToFile.c
diff --git a/debian/ti-timl/usr/src/timl/src/common/cnn/timlCNNTrainingParamsWriteToFile.c b/debian/ti-timl/usr/src/timl/src/common/cnn/timlCNNTrainingParamsWriteToFile.c
--- /dev/null
@@ -0,0 +1,76 @@
+/******************************************************************************/
+/*!
+ * \file timlCNNTrainingParamsWriteToFile.c
+ */
+/* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions
+ * are met:
+ *
+ * Redistributions of source code must retain the above copyright
+ * notice, this list of conditions and the following disclaimer.
+ *
+ * Redistributions in binary form must reproduce the above copyright
+ * notice, this list of conditions and the following disclaimer in the
+ * documentation and/or other materials provided with the
+ * distribution.
+ *
+ * Neither the name of Texas Instruments Incorporated nor the names of
+ * its contributors may be used to endorse or promote products derived
+ * from this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+ * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+ * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+ * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+ * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+ * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *
+ ******************************************************************************/
+
+
+/*******************************************************************************
+ *
+ * INCLUDES
+ *
+ ******************************************************************************/
+
+#include "../api/timl.h"
+
+
+/******************************************************************************/
+/*!
+ * \ingroup cnn
+ * \brief Write the training params to file(s)
+ * \param[in,out] fp FILE ptr to the level 1 text file
+ * \param[in] cnn CNN
+ * \param[in] name CNN name
+ * \param[in] floatFormat Format string for floats
+ * \param[in] intFormat Format string for ints
+ * \return Error code
+ */
+/******************************************************************************/
+
+int timlCNNTrainingParamsWriteToFile(FILE *fp, timlConvNeuralNetwork *cnn, const char* name, const char *floatFormat, const char *intFormat)
+{
+ fprintf(fp, "%s.params.count = %d;\n", name, cnn->params.count);
+ fprintf(fp, "%s.params.batchSize = %d;\n", name, cnn->params.batchSize);
+ fprintf(fp, "%s.params.epoch = %d;\n", name, cnn->params.epoch);
+ fprintf(fp, "%s.params.learningRate = ", name);
+ fprintf(fp, floatFormat, cnn->params.learningRate);
+ fprintf(fp, ";\n");
+ fprintf(fp, "%s.params.momentum = ", name);
+ fprintf(fp, floatFormat, cnn->params.momentum);
+ fprintf(fp, ";\n");
+ fprintf(fp, "%s.params.phase = %d;\n", name, cnn->params.phase);
+ fprintf(fp, "%s.params.allocatorLevel = %d;\n", name, cnn->params.allocatorLevel);
+ fprintf(fp, "%s.params.costType = %d;\n", name, cnn->params.costType);
+
+ return 0;
+}