COMPMID-462: Implement TensorReshape for NEON and CL.

Change-Id: I11b39c2ceca26ade73822e29a384ef866ae05729
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87707
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 116 insertions, 0 deletions

diff --git a/tests/datasets/ReshapeLayerDataset.h b/tests/datasets/ReshapeLayerDataset.h
new file mode 100644
index 0000000000..db7b0b3e57
--- /dev/null
+++ b/tests/datasets/ReshapeLayerDataset.h
@@ -0,0 +1,116 @@
+/*
+ * 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_RESHAPE_LAYER_DATASET
+#define ARM_COMPUTE_TEST_RESHAPE_LAYER_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class ReshapeLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, TensorShape>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator in_it, std::vector<TensorShape>::const_iterator out_it)
+            : _in_it{ std::move(in_it) }, _out_it{ std::move(out_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_in_it << ":";
+            description << "Out=" << *_out_it;
+            return description.str();
+        }
+
+        ReshapeLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_in_it, *_out_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_in_it;
+            ++_out_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator _in_it;
+        std::vector<TensorShape>::const_iterator _out_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_in_shapes.begin(), _out_shapes.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_in_shapes.size(), _out_shapes.size());
+    }
+
+    void add_config(TensorShape in, TensorShape out)
+    {
+        _in_shapes.emplace_back(std::move(in));
+        _out_shapes.emplace_back(std::move(out));
+    }
+
+protected:
+    ReshapeLayerDataset()                       = default;
+    ReshapeLayerDataset(ReshapeLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape> _in_shapes{};
+    std::vector<TensorShape> _out_shapes{};
+};
+
+class SmallReshapeLayerDataset final : public ReshapeLayerDataset
+{
+public:
+    SmallReshapeLayerDataset()
+    {
+        add_config(TensorShape(16U), TensorShape(4U, 2U, 2U));
+        add_config(TensorShape(2U, 2U, 8U), TensorShape(4U, 8U));
+        add_config(TensorShape(3U, 3U, 16U), TensorShape(144U));
+        add_config(TensorShape(17U, 3U, 12U), TensorShape(1U, 1U, 612U));
+        add_config(TensorShape(26U, 26U, 32U), TensorShape(13U, 13U, 128U));
+        add_config(TensorShape(31U, 23U, 4U, 7U), TensorShape(2U, 14U, 713U));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_RESHAPE_LAYER_DATASET */