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Diffstat (limited to 'src/core/NEON/kernels/NEAccumulateKernel.h')
| -rw-r--r-- | src/core/NEON/kernels/NEAccumulateKernel.h | 183 |
1 files changed, 183 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/NEAccumulateKernel.h b/src/core/NEON/kernels/NEAccumulateKernel.h new file mode 100644 index 0000000000..af1298f53f --- /dev/null +++ b/src/core/NEON/kernels/NEAccumulateKernel.h @@ -0,0 +1,183 @@ +/* + * Copyright (c) 2016-2020 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_NEACCUMULATEKERNEL_H +#define ARM_COMPUTE_NEACCUMULATEKERNEL_H + +#include "src/core/NEON/INESimpleKernel.h" + +#include <cstdint> + +namespace arm_compute +{ +class ITensor; + +/** Interface for the accumulate kernel + * + * Accumulation is computed by: + * @f[ accum(x,y) = accum(x,y) + input(x,y) @f] + */ +class NEAccumulateKernel : public INESimpleKernel +{ +public: + const char *name() const override + { + return "NEAccumulateKernel"; + } + /** Default constructor */ + NEAccumulateKernel() = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEAccumulateKernel(const NEAccumulateKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEAccumulateKernel &operator=(const NEAccumulateKernel &) = delete; + /** Allow instances of this class to be moved */ + NEAccumulateKernel(NEAccumulateKernel &&) = default; + /** Allow instances of this class to be moved */ + NEAccumulateKernel &operator=(NEAccumulateKernel &&) = default; + /** Default destructor */ + ~NEAccumulateKernel() = default; + /** Set the input and accumulation tensors + * + * @param[in] input Source tensor. Data type supported: U8. + * @param[out] accum Destination tensor. Data type supported: S16. + */ + void configure(const ITensor *input, ITensor *accum); + + // Inherited methods overridden: + void run(const Window &window, const ThreadInfo &info) override; +}; + +/** Interface for the accumulate weighted kernel + * + * Weighted accumulation is computed: + * @f[ accum(x,y) = (1 - \alpha)*accum(x,y) + \alpha*input(x,y) @f] + * + * Where @f$ 0 \le \alpha \le 1 @f$ + * Conceptually, the rounding for this is defined as: + * @f[ output(x,y)= uint8( (1 - \alpha) * float32( int32( output(x,y) ) ) + \alpha * float32( int32( input(x,y) ) ) ) @f] +*/ +class NEAccumulateWeightedKernel : public INESimpleKernel +{ +public: + const char *name() const override + { + return "NEAccumulateWeightedKernel"; + } + /** Default constructor */ + NEAccumulateWeightedKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEAccumulateWeightedKernel(const NEAccumulateWeightedKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEAccumulateWeightedKernel &operator=(const NEAccumulateWeightedKernel &) = delete; + /** Allow instances of this class to be moved */ + NEAccumulateWeightedKernel(NEAccumulateWeightedKernel &&) = default; + /** Allow instances of this class to be moved */ + NEAccumulateWeightedKernel &operator=(NEAccumulateWeightedKernel &&) = default; + /** Default destructor */ + ~NEAccumulateWeightedKernel() = default; + /** Set the input and accumulation tensors, and the scale value + * + * @param[in] input Source tensor. Data type supported: U8. + * @param[in] alpha Scalar value in the range [0.0f, 1.0f] + * @param[in,out] accum Accumulated tensor. Data type supported: U8. + */ + void configure(const ITensor *input, float alpha, ITensor *accum); + + // Inherited methods overridden: + void run(const Window &window, const ThreadInfo &info) override; + +protected: + float _alpha; +}; + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +/** Interface for the accumulate weighted kernel using F16 */ +class NEAccumulateWeightedFP16Kernel : public NEAccumulateWeightedKernel +{ +public: + const char *name() const override + { + return "NEAccumulateWeightedFP16Kernel"; + } + /** Default constructor */ + NEAccumulateWeightedFP16Kernel() = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEAccumulateWeightedFP16Kernel(const NEAccumulateWeightedFP16Kernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEAccumulateWeightedFP16Kernel &operator=(const NEAccumulateWeightedFP16Kernel &) = delete; + /** Allow instances of this class to be moved */ + NEAccumulateWeightedFP16Kernel(NEAccumulateWeightedFP16Kernel &&) = default; + /** Allow instances of this class to be moved */ + NEAccumulateWeightedFP16Kernel &operator=(NEAccumulateWeightedFP16Kernel &&) = default; + /** Default destructor */ + ~NEAccumulateWeightedFP16Kernel() = default; + // Inherited methods overridden: + void run(const Window &window, const ThreadInfo &info) override; +}; +#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ +/** Interface for the accumulate weighted kernel using F16 */ +using NEAccumulateWeightedFP16Kernel = NEAccumulateWeightedKernel; +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + +/** Interface for the accumulate squared kernel + * + * The accumulation of squares is computed: + * @f[ accum(x,y) = saturate_{int16} ( (uint16) accum(x,y) + (((uint16)(input(x,y)^2)) >> (shift)) ) @f] + * + * Where @f$ 0 \le shift \le 15 @f$ +*/ +class NEAccumulateSquaredKernel : public INESimpleKernel +{ +public: + const char *name() const override + { + return "NEAccumulateSquaredKernel"; + } + /** Default constructor */ + NEAccumulateSquaredKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEAccumulateSquaredKernel(const NEAccumulateSquaredKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEAccumulateSquaredKernel &operator=(const NEAccumulateSquaredKernel &) = delete; + /** Allow instances of this class to be moved */ + NEAccumulateSquaredKernel(NEAccumulateSquaredKernel &&) = default; + /** Allow instances of this class to be moved */ + NEAccumulateSquaredKernel &operator=(NEAccumulateSquaredKernel &&) = default; + /** Default destructor */ + ~NEAccumulateSquaredKernel() = default; + /** Set the input and accumulation tensors and the shift value. + * + * @param[in] input Source tensor. Data type supported: U8. + * @param[in] shift Shift value in the range of [0, 15] + * @param[in,out] accum Accumulated tensor. Data type supported: S16. + */ + void configure(const ITensor *input, uint32_t shift, ITensor *accum); + + // Inherited methods overridden: + void run(const Window &window, const ThreadInfo &info) override; + +private: + uint32_t _shift; +}; +} // namespace arm_compute +#endif /*ARM_COMPUTE_NEACCUMULATEKERNEL_H */ |