1 files changed, 115 insertions, 0 deletions

diff --git a/debian/ti-timl/usr/src/timl/src/common/cnn/timlCNNInitialize.c b/debian/ti-timl/usr/src/timl/src/common/cnn/timlCNNInitialize.c
new file mode 100644
index 0000000..25bb79d
--- /dev/null
+++ b/debian/ti-timl/usr/src/timl/src/common/cnn/timlCNNInitialize.c
@@ -0,0 +1,115 @@
+/******************************************************************************/
+/*!
+ * \file timlCNNInitialize.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     Allocate the memory required by the cnn
+ * \param[in] cnn CNN
+ * \return    Error code
+ */
+/******************************************************************************/
+
+int timlCNNInitialize(timlConvNeuralNetwork *cnn)
+{
+   int err;
+   timlCNNLayer *layer = cnn->head;
+
+   if (cnn->params.allocatorLevel == Util_AllocatorLevel3) {
+      cnn->memPoolSize = timlCNNMemPoolSize(cnn);
+      if (timlUtilMalloc((void**)&cnn->memPool, sizeof(float) * cnn->memPoolSize)) {
+         return ERROR_CNN_LAYER_ALLOCATION;
+      }
+   }
+   while (layer != NULL) {
+      switch (layer->type) {
+         case CNN_Input:
+            err = timlCNNInputInitialize(layer);
+            if (err) {
+               return ERROR_CNN_LAYER_ALLOCATION;
+            }
+            break;
+         case CNN_Conv:
+            err = timlCNNConvInitialize(layer);
+            if (err) {
+               return ERROR_CNN_LAYER_ALLOCATION;
+            }
+            break;
+         case CNN_Nonlinear:
+            err = timlCNNNonlinearInitialize(layer);
+            if (err) {
+               return ERROR_CNN_LAYER_ALLOCATION;
+            }
+            break;
+         case CNN_Linear:
+            err = timlCNNLinearInitialize(layer);
+            if (err) {
+               return ERROR_CNN_LAYER_ALLOCATION;
+            }
+            break;
+         case CNN_Pooling:
+            err = timlCNNPoolingInitialize(layer);
+            if (err) {
+               return ERROR_CNN_LAYER_ALLOCATION;
+            }
+            break;
+         case CNN_Norm:
+            err = timlCNNNormInitialize(layer);
+            if (err) {
+               return ERROR_CNN_LAYER_ALLOCATION;
+            }
+            break;
+         case CNN_Dropout:
+            err = timlCNNDropoutInitialize(layer);
+            if (err) {
+               return ERROR_CNN_LAYER_ALLOCATION;
+            }
+            break;
+      }
+      layer = layer->next;
+   }
+   return 0;
+}