[ti-machine-learning/ti-machine-learning.git] / debian / ti-timl / usr / src / timl / src / common / cnn / timlCNNDropoutReadFromTextFile.c
diff --git a/debian/ti-timl/usr/src/timl/src/common/cnn/timlCNNDropoutReadFromTextFile.c b/debian/ti-timl/usr/src/timl/src/common/cnn/timlCNNDropoutReadFromTextFile.c
--- /dev/null
@@ -0,0 +1,96 @@
+/*****************************************************************************/
+/*!
+ * \file timlCNNDropoutReadFromTextFile.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 Read the dropout layer from a text file
+ * \param[in] fp1 FILE ptr to the level 1 text file
+ * \param[in,out] cnn CNN
+ * \return Error code
+ */
+/******************************************************************************/
+
+int timlCNNDropoutReadFromTextFile(FILE *fp1, timlConvNeuralNetwork *cnn)
+{
+
+ int read;
+ int intBuffer;
+ int row;
+ int channel;
+ int col;
+ char str[TIML_UTIL_MAX_STR];
+ float prob;
+ int err;
+
+ read = fscanf(fp1, "%[^.].layer(%d).row = %d;\n", (char*)&str, &intBuffer, &row);
+ if (read != 3) {
+ timlCNNDelete(cnn);
+ return ERROR_CNN_READ_FILE;
+ }
+ read = fscanf(fp1, "%[^.].layer(%d).col = %d;\n", (char*)&str, &intBuffer, &col);
+ if (read != 3) {
+ timlCNNDelete(cnn);
+ return ERROR_CNN_READ_FILE;
+ }
+ read = fscanf(fp1, "%[^.].layer(%d).channel = %d;\n", (char*)&str, &intBuffer, &channel);
+ if (read != 3) {
+ timlCNNDelete(cnn);
+ return ERROR_CNN_READ_FILE;
+ }
+ read = fscanf(fp1, "%[^.].layer(%d).dropoutParams.prob = %f;\n", (char*)&str, &intBuffer, &prob);
+ if (read != 3) {
+ timlCNNDelete(cnn);
+ return ERROR_CNN_READ_FILE;
+ }
+ err = timlCNNAddDropoutLayer(cnn, prob);
+ if (err) {
+ timlCNNDelete(cnn);
+ return err;
+ }
+
+ return 0;
+}