IVGCVSW-4449 Add QLstm ref implementation

* Adds ref implemenation for new HAL 1.3
  operator, QLstm.
* Adds Layer and CreateWorkload unit tests.
* Adds WorkloadData validate for QLstm.

Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I8a721f07ff06105e6495a1a0561b9503aa8146dc

1 files changed, 54 insertions, 0 deletions

diff --git a/src/backends/reference/workloads/RefQLstmWorkload.hpp b/src/backends/reference/workloads/RefQLstmWorkload.hpp
new file mode 100644
index 0000000000..19d3a2af0f
--- /dev/null
+++ b/src/backends/reference/workloads/RefQLstmWorkload.hpp
@@ -0,0 +1,54 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/TypesUtils.hpp>
+
+#include <backendsCommon/Workload.hpp>
+#include <backendsCommon/WorkloadData.hpp>
+
+namespace armnn
+{
+
+class RefQLstmWorkload : public BaseWorkload<QLstmQueueDescriptor>
+{
+public:
+    explicit RefQLstmWorkload(const QLstmQueueDescriptor& descriptor, const WorkloadInfo& info);
+
+    virtual void Execute() const override;
+
+private:
+    std::unique_ptr<ScopedCpuTensorHandle> m_InputToInputWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_InputToForgetWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_InputToCellWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_InputToOutputWeightsTensor;
+
+    std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToInputWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToForgetWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToCellWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToOutputWeightsTensor;
+
+    std::unique_ptr<ScopedCpuTensorHandle> m_CellToInputWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_CellToForgetWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_CellToOutputWeightsTensor;
+
+    std::unique_ptr<ScopedCpuTensorHandle> m_InputGateBiasTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_ForgetGateBiasTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_CellBiasTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_OutputGateBiasTensor;
+
+    std::unique_ptr<ScopedCpuTensorHandle> m_ProjectionWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_ProjectionBiasTensor;
+
+    std::unique_ptr<ScopedCpuTensorHandle> m_InputLayerNormWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_ForgetLayerNormWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_CellLayerNormWeightsTensor;
+    std::unique_ptr<ScopedCpuTensorHandle> m_OutputLayerNormWeightsTensor;
+
+    float m_LayerNormEpsilon = static_cast<float>(1e-8);
+};
+
+} //namespace armnn