COMPMID-993 Implement CL LSTM function

Change-Id: Iee4ad387c41dd8ccfe31b3044d797f2d7448e552
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/126655
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 171 insertions, 0 deletions

diff --git a/tests/datasets/LSTMLayerDataset.h b/tests/datasets/LSTMLayerDataset.h
new file mode 100644
index 0000000000..51802fd75b
--- /dev/null
+++ b/tests/datasets/LSTMLayerDataset.h
@@ -0,0 +1,171 @@
+/*
+ * 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_LSTM_LAYER_DATASET
+#define ARM_COMPUTE_TEST_LSTM_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 LSTMLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, ActivationLayerInfo, float, float>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator         src_it,
+                 std::vector<TensorShape>::const_iterator         input_weights_it,
+                 std::vector<TensorShape>::const_iterator         recurrent_weights_it,
+                 std::vector<TensorShape>::const_iterator         cells_bias_it,
+                 std::vector<TensorShape>::const_iterator         output_cell_it,
+                 std::vector<TensorShape>::const_iterator         dst_it,
+                 std::vector<TensorShape>::const_iterator         scratch_it,
+                 std::vector<ActivationLayerInfo>::const_iterator infos_it,
+                 std::vector<float>::const_iterator               cell_threshold_it,
+                 std::vector<float>::const_iterator               projection_threshold_it)
+            : _src_it{ std::move(src_it) },
+              _input_weights_it{ std::move(input_weights_it) },
+              _recurrent_weights_it{ std::move(recurrent_weights_it) },
+              _cells_bias_it{ std::move(cells_bias_it) },
+              _output_cell_it{ std::move(output_cell_it) },
+              _dst_it{ std::move(dst_it) },
+              _scratch_it{ std::move(scratch_it) },
+              _infos_it{ std::move(infos_it) },
+              _cell_threshold_it{ std::move(cell_threshold_it) },
+              _projection_threshold_it{ std::move(projection_threshold_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_src_it << ":";
+            description << "InputWeights=" << *_input_weights_it << ":";
+            description << "RecurrentWeights=" << *_recurrent_weights_it << ":";
+            description << "Biases=" << *_cells_bias_it << ":";
+            description << "Scratch=" << *_scratch_it << ":";
+            description << "Out=" << *_dst_it;
+            return description.str();
+        }
+
+        LSTMLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_src_it, *_input_weights_it, *_recurrent_weights_it, *_cells_bias_it, *_output_cell_it, *_dst_it, *_scratch_it, *_infos_it, *_cell_threshold_it, *_projection_threshold_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_src_it;
+            ++_input_weights_it;
+            ++_recurrent_weights_it;
+            ++_cells_bias_it;
+            ++_output_cell_it;
+            ++_dst_it;
+            ++_scratch_it;
+            ++_infos_it;
+            ++_cell_threshold_it;
+            ++_projection_threshold_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator         _src_it;
+        std::vector<TensorShape>::const_iterator         _input_weights_it;
+        std::vector<TensorShape>::const_iterator         _recurrent_weights_it;
+        std::vector<TensorShape>::const_iterator         _cells_bias_it;
+        std::vector<TensorShape>::const_iterator         _output_cell_it;
+        std::vector<TensorShape>::const_iterator         _dst_it;
+        std::vector<TensorShape>::const_iterator         _scratch_it;
+        std::vector<ActivationLayerInfo>::const_iterator _infos_it;
+        std::vector<float>::const_iterator               _cell_threshold_it;
+        std::vector<float>::const_iterator               _projection_threshold_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_src_shapes.begin(), _input_weights_shapes.begin(), _recurrent_weights_shapes.begin(), _cell_bias_shapes.begin(), _output_cell_shapes.begin(), _dst_shapes.begin(),
+                        _scratch_shapes.begin(), _infos.begin(), _cell_threshold.begin(), _projection_threshold.begin());
+    }
+
+    int size() const
+    {
+        return std::min(_src_shapes.size(), std::min(_input_weights_shapes.size(), std::min(_recurrent_weights_shapes.size(), std::min(_cell_bias_shapes.size(), std::min(_output_cell_shapes.size(),
+                                                                                            std::min(_dst_shapes.size(), std::min(_scratch_shapes.size(), std::min(_cell_threshold.size(), std::min(_projection_threshold.size(), _infos.size())))))))));
+    }
+
+    void add_config(TensorShape src, TensorShape input_weights, TensorShape recurrent_weights, TensorShape cell_bias_weights, TensorShape output_cell_state, TensorShape dst, TensorShape scratch,
+                    ActivationLayerInfo info, float cell_threshold, float projection_threshold)
+    {
+        _src_shapes.emplace_back(std::move(src));
+        _input_weights_shapes.emplace_back(std::move(input_weights));
+        _recurrent_weights_shapes.emplace_back(std::move(recurrent_weights));
+        _cell_bias_shapes.emplace_back(std::move(cell_bias_weights));
+        _output_cell_shapes.emplace_back(std::move(output_cell_state));
+        _dst_shapes.emplace_back(std::move(dst));
+        _scratch_shapes.emplace_back(std::move(scratch));
+        _infos.emplace_back(std::move(info));
+        _cell_threshold.emplace_back(std::move(cell_threshold));
+        _projection_threshold.emplace_back(std::move(projection_threshold));
+    }
+
+protected:
+    LSTMLayerDataset()                    = default;
+    LSTMLayerDataset(LSTMLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape>         _src_shapes{};
+    std::vector<TensorShape>         _input_weights_shapes{};
+    std::vector<TensorShape>         _recurrent_weights_shapes{};
+    std::vector<TensorShape>         _cell_bias_shapes{};
+    std::vector<TensorShape>         _output_cell_shapes{};
+    std::vector<TensorShape>         _dst_shapes{};
+    std::vector<TensorShape>         _scratch_shapes{};
+    std::vector<ActivationLayerInfo> _infos{};
+    std::vector<float>               _cell_threshold{};
+    std::vector<float>               _projection_threshold{};
+};
+
+class SmallLSTMLayerDataset final : public LSTMLayerDataset
+{
+public:
+    SmallLSTMLayerDataset()
+    {
+        add_config(TensorShape(8U, 2U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U, 2U), TensorShape(16U, 2U), TensorShape(64U, 2U), ActivationLayerInfo(), 0.05f, 0.93f);
+        add_config(TensorShape(8U, 2U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U, 2U), TensorShape(16U, 2U), TensorShape(48U, 2U), ActivationLayerInfo(), 0.05f, 0.93f);
+    }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LSTM_LAYER_DATASET */