From bee466b5eac4ec39d4032d946c9a4aee051f2b31 Mon Sep 17 00:00:00 2001
From: steniu01 <steven.niu@arm.com>
Date: Wed, 21 Jun 2017 16:45:41 +0100
Subject: COMPID-345 Add caffe_data_extractor.py script and the instructions

Change-Id: Ibb84b2060c4d6362be9ce4b1757e273e013de618
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78630
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
---
 utils/Utils.h | 63 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 63 insertions(+)

(limited to 'utils/Utils.h')

diff --git a/utils/Utils.h b/utils/Utils.h
index b519f83a83..3c84c824da 100644
--- a/utils/Utils.h
+++ b/utils/Utils.h
@@ -28,6 +28,7 @@
 #include "arm_compute/core/ITensor.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
 #include "arm_compute/runtime/Tensor.h"
 
 #ifdef ARM_COMPUTE_CL
@@ -320,6 +321,68 @@ void save_to_ppm(T &tensor, const std::string &ppm_filename)
         ARM_COMPUTE_ERROR("Writing %s: (%s)", ppm_filename.c_str(), e.what());
     }
 }
+
+/** Load the tensor with pre-trained data from a binary file
+ *
+ * @param[in] tensor   The tensor to be filled. Data type supported: F32.
+ * @param[in] filename Filename of the binary file to load from.
+ */
+template <typename T>
+void load_trained_data(T &tensor, const std::string &filename)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&tensor, 1, DataType::F32);
+
+    std::ifstream fs;
+
+    try
+    {
+        fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);
+        // Open file
+        fs.open(filename, std::ios::in | std::ios::binary);
+
+        if(!fs.good())
+        {
+            throw std::runtime_error("Could not load binary data: " + filename);
+        }
+
+#ifdef ARM_COMPUTE_CL
+        // Map buffer if creating a CLTensor
+        if(std::is_same<typename std::decay<T>::type, arm_compute::CLTensor>::value)
+        {
+            tensor.map();
+        }
+#endif
+        Window window;
+
+        window.set(arm_compute::Window::DimX, arm_compute::Window::Dimension(0, 1, 1));
+
+        for(unsigned int d = 1; d < tensor.info()->num_dimensions(); ++d)
+        {
+            window.set(d, Window::Dimension(0, tensor.info()->tensor_shape()[d], 1));
+        }
+
+        arm_compute::Iterator in(&tensor, window);
+
+        execute_window_loop(window, [&](const Coordinates & id)
+        {
+            fs.read(reinterpret_cast<std::fstream::char_type *>(in.ptr()), tensor.info()->tensor_shape()[0] * tensor.info()->element_size());
+        },
+        in);
+
+#ifdef ARM_COMPUTE_CL
+        // Unmap buffer if creating a CLTensor
+        if(std::is_same<typename std::decay<T>::type, arm_compute::CLTensor>::value)
+        {
+            tensor.unmap();
+        }
+#endif
+    }
+    catch(const std::ofstream::failure &e)
+    {
+        ARM_COMPUTE_ERROR("Writing %s: (%s)", filename.c_str(), e.what());
+    }
+}
+
 } // namespace utils
 } // namespace arm_compute
 #endif /* __UTILS_UTILS_H__*/
-- 
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