From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001
From: Anthony Barbier <anthony.barbier@arm.com>
Date: Mon, 4 Sep 2017 18:44:23 +0100
Subject: COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
---
 src/runtime/TensorAllocator.cpp | 119 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 119 insertions(+)
 create mode 100644 src/runtime/TensorAllocator.cpp

(limited to 'src/runtime/TensorAllocator.cpp')

diff --git a/src/runtime/TensorAllocator.cpp b/src/runtime/TensorAllocator.cpp
new file mode 100644
index 0000000000..5c719c761a
--- /dev/null
+++ b/src/runtime/TensorAllocator.cpp
@@ -0,0 +1,119 @@
+/*
+ * Copyright (c) 2016, 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "arm_compute/core/Coordinates.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/TensorInfo.h"
+
+#include <cstddef>
+
+using namespace arm_compute;
+
+namespace
+{
+bool validate_subtensor_shape(const TensorInfo &parent_info, const TensorInfo &child_info, const Coordinates &coords)
+{
+    bool               is_valid     = true;
+    const TensorShape &parent_shape = parent_info.tensor_shape();
+    const TensorShape &child_shape  = child_info.tensor_shape();
+    const size_t       parent_dims  = parent_info.num_dimensions();
+    const size_t       child_dims   = child_info.num_dimensions();
+
+    if(child_dims <= parent_dims)
+    {
+        for(size_t num_dimensions = child_dims; num_dimensions > 0; --num_dimensions)
+        {
+            const size_t child_dim_size = coords[num_dimensions - 1] + child_shape[num_dimensions - 1];
+
+            if((coords[num_dimensions - 1] < 0) || (child_dim_size > parent_shape[num_dimensions - 1]))
+            {
+                is_valid = false;
+                break;
+            }
+        }
+    }
+    else
+    {
+        is_valid = false;
+    }
+
+    return is_valid;
+}
+} // namespace
+
+TensorAllocator::TensorAllocator()
+    : _buffer(nullptr)
+{
+}
+
+void TensorAllocator::init(const TensorAllocator &allocator, const Coordinates &coords, TensorInfo sub_info)
+{
+    // Get parent info
+    const TensorInfo parent_info = allocator.info();
+
+    // Check if coordinates and new shape are within the parent tensor
+    ARM_COMPUTE_ERROR_ON(!validate_subtensor_shape(parent_info, sub_info, coords));
+    ARM_COMPUTE_UNUSED(validate_subtensor_shape);
+
+    // Copy pointer to buffer
+    _buffer = allocator._buffer;
+
+    // Init tensor info with new dimensions
+    size_t total_size = parent_info.offset_element_in_bytes(coords) + sub_info.total_size() - sub_info.offset_first_element_in_bytes();
+    sub_info.init(sub_info.tensor_shape(), sub_info.format(), parent_info.strides_in_bytes(), parent_info.offset_element_in_bytes(coords), total_size);
+
+    // Set TensorInfo
+    init(sub_info);
+}
+
+uint8_t *TensorAllocator::data() const
+{
+    return (_buffer != nullptr) ? _buffer.get()->data() : nullptr;
+}
+
+void TensorAllocator::allocate()
+{
+    ARM_COMPUTE_ERROR_ON(_buffer != nullptr);
+
+    _buffer = std::make_shared<std::vector<uint8_t>>(info().total_size());
+    info().set_is_resizable(false);
+}
+
+void TensorAllocator::free()
+{
+    ARM_COMPUTE_ERROR_ON(_buffer == nullptr);
+
+    _buffer.reset();
+    info().set_is_resizable(true);
+}
+
+uint8_t *TensorAllocator::lock()
+{
+    return (_buffer != nullptr) ? _buffer.get()->data() : nullptr;
+}
+
+void TensorAllocator::unlock()
+{
+}
-- 
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