diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEConcatenateLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEConcatenateLayer.h | 63 |
1 files changed, 56 insertions, 7 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h b/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h index b5c200b467..02c27e20e6 100644 --- a/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h +++ b/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 Arm Limited. + * Copyright (c) 2018-2020 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -29,6 +29,7 @@ #include "arm_compute/core/NEON/INEKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/utils/misc/Requires.h" +#include "arm_compute/runtime/NEON/INEOperator.h" #include <memory> #include <vector> @@ -52,6 +53,16 @@ class NEConcatenateLayer : public IFunction public: /** Default constructor */ NEConcatenateLayer(); + /** Destructor */ + ~NEConcatenateLayer(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEConcatenateLayer(const NEConcatenateLayer &) = delete; + /** Default move constructor */ + NEConcatenateLayer(NEConcatenateLayer &&); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEConcatenateLayer &operator=(const NEConcatenateLayer &) = delete; + /** Default move assignment operator */ + NEConcatenateLayer &operator=(NEConcatenateLayer &&); /** Initialise the kernel's inputs vector and output. * * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis. @@ -61,7 +72,6 @@ public: * @param[out] output Output tensor. Data types supported: Same as @p input. * @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3. */ - void configure(std::vector<ITensor *> inputs_vector, ITensor *output, size_t axis); void configure(std::vector<const ITensor *> inputs_vector, ITensor *output, size_t axis); /** Static function to check if given info will lead to a valid configuration of @ref NEConcatenateLayer * @@ -74,23 +84,62 @@ public: * * @return a status */ - static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis); static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis); // Inherited methods overridden: void run() override; private: - template <typename TensorType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorType>::type, ITensor>::value)> - void configure_internal(std::vector<TensorType *> &&inputs_vector, ITensor *output, size_t axis); + struct Impl; + std::unique_ptr<Impl> _impl; +}; + +namespace experimental +{ +/** Basic function to execute concatenate tensors along a given axis. This function calls the following kernels: + * + * -# @ref NEWidthConcatenateLayerKernel (if underlying concatenation axis is 0). + * -# @ref NEHeightConcatenateLayerKernel (if underlying concatenation axis is 1). + * -# @ref NEDepthConcatenateLayerKernel (if underlying concatenation axis is 2). + * -# @ref NEBatchConcatenateLayerKernel (if underlying concatenation axis is 3). + */ +class NEConcatenateLayer : public INEOperator +{ +public: + /** Default constructor */ + NEConcatenateLayer(); + /** Initialise the kernel's inputs vector and output. + * + * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis. + * @note Preconditions can be found respectively at @ref NEWidthConcatenateLayerKernel, @ref NEHeightConcatenateLayerKernel and @ref NEDepthConcatenateLayerKernel. + * + * @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[out] output Output tensor. Data types supported: Same as @p input. + * @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3. + */ + void configure(const std::vector<const ITensorInfo *> &inputs_vector, ITensorInfo *output, size_t axis); + /** Static function to check if given info will lead to a valid configuration of @ref NEConcatenateLayer + * + * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis. + * @note Preconditions can be found respectively at @ref NEWidthConcatenateLayerKernel, @ref NEHeightConcatenateLayerKernel and @ref NEDepthConcatenateLayerKernel. + * + * @param[in] inputs_vector The vectors containing all the tensors info to concatenate. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[in] output Output tensor info. Data types supported: Same as @p input. + * @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3. + * + * @return a status + */ + static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis); - template <typename TensorInfoType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorInfoType>::type, ITensorInfo>::value)> - static Status validate_internal(const std::vector<TensorInfoType *> &inputs_vector, const ITensorInfo *output, size_t axis); + // Inherited methods overridden: + MemoryRequirements workspace() const override; + void run(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; private: std::vector<std::unique_ptr<INEKernel>> _concat_kernels; unsigned int _num_inputs; unsigned int _axis; }; +} // namespace experimental } // namespace arm_compute #endif /* ARM_COMPUTE_NECONCATENATELAYER_H */ |