diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h | 135 |
1 files changed, 135 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h b/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h new file mode 100644 index 0000000000..ab626ad5ec --- /dev/null +++ b/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h @@ -0,0 +1,135 @@ +/* + * Copyright (c) 2017 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_NESOFTMAXLAYERKERNEL_H__ +#define __ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H__ + +#include "arm_compute/core/NEON/INEKernel.h" +#include "arm_compute/core/NEON/INESimpleKernel.h" + +namespace arm_compute +{ +class ITensor; + +/** Interface for the identifying the max value of 1D Logits */ +class NELogits1DMaxKernel : public INESimpleKernel +{ +public: + /** Default constructor */ + NELogits1DMaxKernel(); + /** Set the input and output tensors. + * + * @param[in] input Source tensor. Data types supported: QS8, F32. + * @param[out] output Destination tensor. Data types supported: same as @p input + */ + void configure(const ITensor *input, ITensor *output); + + // Inherited methods overridden: + void run(const Window &window) override; + BorderSize border_size() const override; + +private: + using Logits1DMaxFunction = void(const ITensor *in, ITensor *out, const Window &window); + +private: + Logits1DMaxFunction *_func; + BorderSize _border_size; +}; + +/** Interface for shifting the logits values around the max value and exponentiating the result */ +class NELogits1DShiftExpSumKernel : public INEKernel +{ +public: + /** Default constructor */ + NELogits1DShiftExpSumKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NELogits1DShiftExpSumKernel(const NELogits1DShiftExpSumKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NELogits1DShiftExpSumKernel &operator=(const NELogits1DShiftExpSumKernel &) = delete; + /** Allow instances of this class to be moved */ + NELogits1DShiftExpSumKernel(NELogits1DShiftExpSumKernel &&) = default; + /** Allow instances of this class to be moved */ + NELogits1DShiftExpSumKernel &operator=(NELogits1DShiftExpSumKernel &&) = default; + /** Default destructor */ + ~NELogits1DShiftExpSumKernel() = default; + /** Set the input and output tensors. + * + * @param[in] input Source tensor. Data types supported: QS8, F32. + * @param[in] max Max values tensor. Data types supported: same as @p input. + * @param[out] output Destination tensor. Data types supported: same as @p input. + * @param[out] sum Sum of 1D logits tensor. Data types supported: same as @p input. + */ + void configure(const ITensor *input, const ITensor *max, ITensor *output, ITensor *sum); + + // Inherited methods overridden: + void run(const Window &window) override; + +private: + using Logits1DShiftExpSumFunction = void(const ITensor *in, const ITensor *max, ITensor *out, ITensor *sum, const Window &window); + +private: + Logits1DShiftExpSumFunction *_func; + const ITensor *_input; + const ITensor *_max; + ITensor *_output; + ITensor *_sum; +}; + +/** Interface for calculating the final step of the Softmax Layer where each logit value is multiplied by the inverse of the sum of the logits. */ +class NELogits1DNormKernel : public INEKernel +{ +public: + /** Default constructor */ + NELogits1DNormKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NELogits1DNormKernel(const NELogits1DNormKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NELogits1DNormKernel &operator=(const NELogits1DNormKernel &) = delete; + /** Allow instances of this class to be moved */ + NELogits1DNormKernel(NELogits1DNormKernel &&) = default; + /** Allow instances of this class to be moved */ + NELogits1DNormKernel &operator=(NELogits1DNormKernel &&) = default; + /** Default destructor */ + ~NELogits1DNormKernel() = default; + /** Set the input and output tensors. + * + * @param[in] input Source tensor. Data types supported: QS8, F32. + * @param[in] sum Sum tensor. The number of dimensions should be dim(input)-1. Data types supported: same as @p input. + * @param[out] output Destination tensor. Data types supported: same as @p input. + */ + void configure(const ITensor *input, const ITensor *sum, ITensor *output); + + // Inherited methods overridden: + void run(const Window &window) override; + +private: + using Logits1DNormFunction = void(const ITensor *in, const ITensor *sum, ITensor *out, const Window &window); + +private: + Logits1DNormFunction *_func; + const ITensor *_input; + const ITensor *_sum; + ITensor *_output; +}; +} +#endif /*__ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H__ */ |