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Diffstat (limited to 'src/armnn/layers/ConvertBf16ToFp32Layer.hpp')
-rw-r--r-- | src/armnn/layers/ConvertBf16ToFp32Layer.hpp | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/src/armnn/layers/ConvertBf16ToFp32Layer.hpp b/src/armnn/layers/ConvertBf16ToFp32Layer.hpp new file mode 100644 index 0000000000..2a79a1cb65 --- /dev/null +++ b/src/armnn/layers/ConvertBf16ToFp32Layer.hpp @@ -0,0 +1,42 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include <Layer.hpp> + +namespace armnn +{ + +/// This layer converts data type BFloat16 to Float32. +class ConvertBf16ToFp32Layer : public Layer +{ +public: + /// Makes a workload for the ConvertBf16ToFp32 type. + /// @param [in] graph The graph where this layer can be found. + /// @param [in] factory The workload factory which will create the workload. + /// @return A pointer to the created workload, or nullptr if not created. + virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override; + + /// Creates a dynamically-allocated copy of this layer. + /// @param [in] graph The graph into which this layer is being cloned. + ConvertBf16ToFp32Layer* Clone(Graph& graph) const override; + + /// Check if the input tensor shape(s) + /// will lead to a valid configuration of @ref ConvertBf16ToFp32Layer. + void ValidateTensorShapesFromInputs() override; + + void Accept(ILayerVisitor& visitor) const override; + +protected: + /// Constructor to create a ConvertBf16ToFp32Layer. + /// @param [in] name Optional name for the layer. + ConvertBf16ToFp32Layer(const char* name); + + /// Default destructor + ~ConvertBf16ToFp32Layer() = default; +}; + +} // namespace |