[ti-machine-learning/ti-machine-learning.git] / src / common / cnn / timlCNNInputReadFromStatesBinaryFile.c
diff --git a/src/common/cnn/timlCNNInputReadFromStatesBinaryFile.c b/src/common/cnn/timlCNNInputReadFromStatesBinaryFile.c
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+/******************************************************************************/
+/*!
+ * \file timlCNNInputReadFromStatesBinaryFile.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 input layer states from a binary file
+ * \param[in] fp3 FILE ptr to the state bin file
+ * \param[in,out] layer Input layer
+ * \return Error code
+ */
+/******************************************************************************/
+
+int timlCNNInputReadFromStatesBinaryFile(FILE *fp3, timlCNNLayer *layer)
+{
+ int dim;
+ if (fp3 == NULL) {
+ return 0;
+ }
+ // feature map
+ if (layer->featureMap != NULL) {
+ timlUtilFread(layer->featureMap, sizeof(float), layer->maxBatchSize*layer->row*layer->col*layer->channel, fp3);
+ }
+ // inputData
+ if (layer->inputParams.inputData != NULL) {
+ timlUtilFread(layer->inputParams.inputData, sizeof(float), layer->maxBatchSize*layer->inputParams.row*layer->inputParams.col*layer->inputParams.channel, fp3);
+ }
+ return 0;
+}