diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h | 29 |
1 files changed, 23 insertions, 6 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h b/arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h index 4eab86d00a..ce3dddbe19 100644 --- a/arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h +++ b/arm_compute/core/NEON/kernels/NEGEMMLowpReductionKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -47,7 +47,7 @@ public: /** Initialise the kernel's input and output. * - * @param[in] input Input tensor. Data type supported: QASYMM8 + * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED * @param[out] output Output row-vector of sums of all the entries in each row/col of input tensor. Data type supported: S32 * @param[in] k Number of matrix A columns (or matrix B rows) * @param[in] is_reshaped True if the input tensor has been reshaped @@ -75,7 +75,7 @@ public: } /** Initialise the kernel's input and output. * - * @param[in] mtx_a Input tensor. Data type supported: QASYMM8 + * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED * @param[out] vector_sum_row Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32 * @param[in] num_mtx_a_cols Number of matrix A columns * @param[in] is_interleaved4x4 True if the matrix A has been interleaved4x4 @@ -83,7 +83,7 @@ public: void configure(const ITensor *mtx_a, ITensor *vector_sum_row, int32_t num_mtx_a_cols, bool is_interleaved4x4) override; /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixAReductionKernel * - * @param[in] mtx_a Input tensor. Data type supported: QASYMM8 + * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED * @param[in] vector_sum_row Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32 * @param[in] num_mtx_a_cols Number of matrix A columns * @param[in] is_interleaved4x4 True if the matrix A has been interleaved4x4 @@ -94,6 +94,14 @@ public: // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; + +private: + /** Execution of the reduction kernel specialized on the input type + * + * @param[in] window Execution window + */ + template <typename T> + void run_internal(const Window &window); }; /** NEON kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B. @@ -110,7 +118,7 @@ public: } /** Initialise the kernel's input and output. * - * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8 + * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED * @param[out] vector_sum_col Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 * @param[in] num_mtx_b_rows Number of matrix B rows * @param[in] is_transposed1xW True if the input tensor is transposed 1xW @@ -118,7 +126,7 @@ public: void configure(const ITensor *mtx_b, ITensor *vector_sum_col, int32_t num_mtx_b_rows, bool is_transposed1xW) override; /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixBReductionKernel * - * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8 + * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED * @param[in] vector_sum_col Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32 * @param[in] num_mtx_b_rows Number of matrix B rows * @param[in] is_transposed1xW True if the input tensor is transposed 1xW @@ -129,6 +137,15 @@ public: // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; + +private: + /** Execution of the reduction kernel specialized on the input type + * + * @param[in] window Execution window + * @param[in] info Thread-related information + */ + template <typename T> + void run_internal(const Window &window, const ThreadInfo &info); }; } // namespace arm_compute |