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>
diff --git a/tests/datasets/LSTMLayerDataset.h b/tests/datasets/LSTMLayerDataset.h
new file mode 100644
index 0000000..51802fd
--- /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 */