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Diffstat (limited to 'src/core/NEON/kernels/NEStackLayerKernel.h')
| -rw-r--r-- | src/core/NEON/kernels/NEStackLayerKernel.h | 107 |
1 files changed, 107 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/NEStackLayerKernel.h b/src/core/NEON/kernels/NEStackLayerKernel.h new file mode 100644 index 0000000000..02ee776ea4 --- /dev/null +++ b/src/core/NEON/kernels/NEStackLayerKernel.h @@ -0,0 +1,107 @@ +/* + * Copyright (c) 2018-2021, 2023 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 ACL_SRC_CORE_NEON_KERNELS_NESTACKLAYERKERNEL_H +#define ACL_SRC_CORE_NEON_KERNELS_NESTACKLAYERKERNEL_H + +#include "arm_compute/core/Types.h" + +#include "src/core/NEON/INEKernel.h" + +#include <cstdint> +#include <functional> + +namespace arm_compute +{ +class ITensor; + +/** Basic kernel to stack a rank-R tensor into one with rank-(R+1) along the axis dimension. */ +class NEStackLayerKernel : public INEKernel +{ +public: + const char *name() const override + { + return "NEStackLayerKernel"; + } + /** Default constructor */ + NEStackLayerKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEStackLayerKernel(const NEStackLayerKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEStackLayerKernel &operator=(const NEStackLayerKernel &) = delete; + /** Allow instances of this class to be moved */ + NEStackLayerKernel(NEStackLayerKernel &&) = default; + /** Allow instances of this class to be moved */ + NEStackLayerKernel &operator=(NEStackLayerKernel &&) = default; + /** Default destructor */ + ~NEStackLayerKernel() = default; + /** Initialise the kernel's inputs and output + * + * @note Supported input tensor rank: up to 4 + * + * @param[in] input Input tensors. Data types supported: All + * @param[in] axis The dimension to stack the tensors along. It must be smaller than the number of input dimensions. + * @param[out] output Output tensor. Data types supported: Same as @p input. + * + */ + void configure(const std::vector<ITensor *> &input, uint32_t axis, ITensor *output); + /** Static function to check if given info will lead to a valid configuration of @ref NEStackLayerKernel + * + * @note Supported input tensor rank: up to 4 + * + * @param[in] input Input tensor infos. Data types supported: All + * @param[in] axis The dimension to stack the tensors along. It must be smaller than the number of input dimensions. + * @param[in] output Output tensor info. Data types supported: Same as @p input. + * + * @return a status + */ + static Status validate(const std::vector<ITensorInfo *> &input, uint32_t axis, const ITensorInfo *output); + + /** Prepare the reshape kernel for execution (Only executed once) for + * choosing the window and the algorithm. + */ + void prepare(); + + // Inherited methods overridden + void run(const Window &window, const ThreadInfo &info) override; + + /** Get the dimension to split the kernel workload + * + * @return the split dimension + */ + uint32_t get_split_dimension() const + { + return _split_dimension; + } + +private: + std::vector<ITensor *> _input; + ITensor *_output; + uint32_t _axis; + uint32_t _split_dimension; + + std::function<void(const std::vector<ITensor *> &, ITensor *, uint32_t, const Window &)> _stack_fn{}; +}; +} // namespace arm_compute +#endif // ACL_SRC_CORE_NEON_KERNELS_NESTACKLAYERKERNEL_H |