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>
diff --git a/tests/datasets/RNNLayerDataset.h b/tests/datasets/RNNLayerDataset.h
new file mode 100644
index 0000000..616a69e
--- /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 */