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
---
 tests/TensorCache.h | 118 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 118 insertions(+)
 create mode 100644 tests/TensorCache.h

(limited to 'tests/TensorCache.h')

diff --git a/tests/TensorCache.h b/tests/TensorCache.h
new file mode 100644
index 0000000000..b4f7b59e15
--- /dev/null
+++ b/tests/TensorCache.h
@@ -0,0 +1,118 @@
+/*
+ * Copyright (c) 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.
+ */
+#ifndef __ARM_COMPUTE_TEST_TENSOR_CACHE_H__
+#define __ARM_COMPUTE_TEST_TENSOR_CACHE_H__
+
+#include "RawTensor.h"
+
+#include <map>
+#include <mutex>
+#include <utility>
+
+namespace arm_compute
+{
+namespace test
+{
+/** Stores @ref RawTensor categorised by the image they are created from
+ * including name, format and channel.
+ */
+class TensorCache
+{
+public:
+    /* Search the cache for a tensor of created from the specified image and
+     * format.
+     *
+     * @param[in] key Key to look up the tensor. Consists of image name and format.
+     *
+     * @return The cached tensor matching the image name and format if found. A
+     *         nullptr otherwise.
+     */
+    RawTensor *find(std::tuple<const std::string &, Format> key);
+
+    /* Search the cache for a tensor of created from the specified image,
+     * format and channel.
+     *
+     * @param[in] key Key to look up the tensor. Consists of image name, format and channel.
+     *
+     * @return The cached tensor matching the image name and format if found. A
+     *         nullptr otherwise.
+     */
+    RawTensor *find(std::tuple<const std::string &, Format, Channel> key);
+
+    /** Add the given tensor to the cache. Can later be found under the given
+     * image name and format.
+     *
+     * @param[in] key Key under which to store the tensor. Consists of image name and format.
+     * @param[in] raw Raw tensor to be stored.
+     *
+     * @return A reference to the cached tensor.
+     */
+    RawTensor &add(std::tuple<const std::string &, Format> key, RawTensor raw);
+
+    /** Add the given tensor to the cache. Can later be found under the given
+     * image name, format and channel.
+     *
+     * @param[in] key Key under which to store the tensor. Consists of image name, format and channel.
+     * @param[in] raw Raw tensor to be stored.
+     *
+     * @return A reference to the cached tensor.
+     */
+    RawTensor &add(std::tuple<const std::string &, Format, Channel> key, RawTensor raw);
+
+private:
+    using FormatMap  = std::map<std::tuple<std::string, Format>, RawTensor>;
+    using ChannelMap = std::map<std::tuple<std::string, Format, Channel>, RawTensor>;
+
+    FormatMap  _raw_tensor_cache{};
+    ChannelMap _raw_tensor_channel_cache{};
+    std::mutex _raw_tensor_cache_mutex{};
+    std::mutex _raw_tensor_channel_cache_mutex{};
+};
+
+inline RawTensor *TensorCache::find(std::tuple<const std::string &, Format> key)
+{
+    const auto it = _raw_tensor_cache.find(key);
+    return it == _raw_tensor_cache.end() ? nullptr : &it->second;
+}
+
+inline RawTensor *TensorCache::find(std::tuple<const std::string &, Format, Channel> key)
+{
+    const auto it = _raw_tensor_channel_cache.find(key);
+    return it == _raw_tensor_channel_cache.end() ? nullptr : &it->second;
+}
+
+inline RawTensor &TensorCache::add(std::tuple<const std::string &, Format> key, RawTensor raw)
+{
+    std::lock_guard<std::mutex> lock(_raw_tensor_channel_cache_mutex);
+    return std::get<0>(_raw_tensor_cache.emplace(std::move(key), std::move(raw)))->second;
+}
+
+inline RawTensor &TensorCache::add(std::tuple<const std::string &, Format, Channel> key, RawTensor raw)
+{
+    std::lock_guard<std::mutex> lock(_raw_tensor_channel_cache_mutex);
+    return std::get<0>(_raw_tensor_channel_cache.emplace(std::move(key), std::move(raw)))->second;
+}
+} // namespace test
+} // namespace arm_compute
+#endif
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