COMPMID-992 Implement CL RNN function

Change-Id: I8dbada5fabedbb8523e433ba73d504bd15b81466
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125787
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

1 files changed, 141 insertions, 0 deletions

diff --git a/tests/datasets/RNNLayerDataset.h b/tests/datasets/RNNLayerDataset.h
new file mode 100644
index 0000000000..616a69e213
--- /dev/null
+++ b/tests/datasets/RNNLayerDataset.h
@@ -0,0 +1,141 @@
+/*
+ * Copyright (c) 2018 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_RNN_LAYER_DATASET
+#define ARM_COMPUTE_TEST_RNN_LAYER_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class RNNLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, ActivationLayerInfo>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator         src_it,
+                 std::vector<TensorShape>::const_iterator         weights_it,
+                 std::vector<TensorShape>::const_iterator         recurrent_weights_it,
+                 std::vector<TensorShape>::const_iterator         biases_it,
+                 std::vector<TensorShape>::const_iterator         dst_it,
+                 std::vector<ActivationLayerInfo>::const_iterator infos_it)
+            : _src_it{ std::move(src_it) },
+              _weights_it{ std::move(weights_it) },
+              _recurrent_weights_it{ std::move(recurrent_weights_it) },
+              _biases_it{ std::move(biases_it) },
+              _dst_it{ std::move(dst_it) },
+              _infos_it{ std::move(infos_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_src_it << ":";
+            description << "Weights=" << *_weights_it << ":";
+            description << "Biases=" << *_biases_it << ":";
+            description << "Out=" << *_dst_it;
+            return description.str();
+        }
+
+        RNNLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_src_it, *_weights_it, *_recurrent_weights_it, *_biases_it, *_dst_it, *_infos_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_src_it;
+            ++_weights_it;
+            ++_recurrent_weights_it;
+            ++_biases_it;
+            ++_dst_it;
+            ++_infos_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator         _src_it;
+        std::vector<TensorShape>::const_iterator         _weights_it;
+        std::vector<TensorShape>::const_iterator         _recurrent_weights_it;
+        std::vector<TensorShape>::const_iterator         _biases_it;
+        std::vector<TensorShape>::const_iterator         _dst_it;
+        std::vector<ActivationLayerInfo>::const_iterator _infos_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_src_shapes.begin(), _weight_shapes.begin(), _recurrent_weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _infos.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_recurrent_weight_shapes.size(), std::min(_bias_shapes.size(), std::min(_dst_shapes.size(), _infos.size())))));
+    }
+
+    void add_config(TensorShape src, TensorShape weights, TensorShape recurrent_weights, TensorShape biases, TensorShape dst, ActivationLayerInfo info)
+    {
+        _src_shapes.emplace_back(std::move(src));
+        _weight_shapes.emplace_back(std::move(weights));
+        _recurrent_weight_shapes.emplace_back(std::move(recurrent_weights));
+        _bias_shapes.emplace_back(std::move(biases));
+        _dst_shapes.emplace_back(std::move(dst));
+        _infos.emplace_back(std::move(info));
+    }
+
+protected:
+    RNNLayerDataset()                   = default;
+    RNNLayerDataset(RNNLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape>         _src_shapes{};
+    std::vector<TensorShape>         _weight_shapes{};
+    std::vector<TensorShape>         _recurrent_weight_shapes{};
+    std::vector<TensorShape>         _bias_shapes{};
+    std::vector<TensorShape>         _dst_shapes{};
+    std::vector<ActivationLayerInfo> _infos{};
+};
+
+class SmallRNNLayerDataset final : public RNNLayerDataset
+{
+public:
+    SmallRNNLayerDataset()
+    {
+        add_config(TensorShape(8U, 2U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U, 2U), ActivationLayerInfo());
+    }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_RNN_LAYER_DATASET */