diff options
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h | 36 |
1 files changed, 31 insertions, 5 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h index 4e52a8029e..71681cf628 100644 --- a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h @@ -29,6 +29,7 @@ namespace arm_compute { class ICLTensor; +struct GEMMLowpReductionKernelInfo; /** Common interface for all OpenCL reduction kernels */ class ICLGEMMLowpReductionKernel : public ICLKernel @@ -49,8 +50,13 @@ public: * * @param[in] input Input tensor. Data type supported: S8 * @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] info Kernel metadata: + * - k Number of matrix columns/rows depending on the type of reduction. + * - is_reshaped True if the matrix has been reshaped. + * - scalar Scalar value to multiply each reduced column/row by. + * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. */ - virtual void configure(const ICLTensor *input, ICLTensor *output) = 0; + virtual void configure(const ICLTensor *input, ICLTensor *output, const GEMMLowpReductionKernelInfo &info) = 0; protected: const ICLTensor *_input; @@ -69,16 +75,26 @@ public: * * @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] info Kernel metadata: + * - k Number of matrix columns/rows depending on the type of reduction. + * - is_reshaped True if the matrix has been reshaped. + * - scalar Scalar value to multiply each reduced column/row by. + * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. */ - void configure(const ICLTensor *mtx_a, ICLTensor *vector_sum_row) override; + void configure(const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override; /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixAReductionKernel * * @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] info Kernel metadata: + * - k Number of matrix columns/rows depending on the type of reduction. + * - is_reshaped True if the matrix has been reshaped. + * - scalar Scalar value to multiply each reduced column/row by. + * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. * * @return a status */ - static Status validate(const ITensorInfo *mtx_a, const ITensorInfo *vector_sum_row); + static Status validate(const ITensorInfo *mtx_a, const ITensorInfo *vector_sum_row, const GEMMLowpReductionKernelInfo &info); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; @@ -96,16 +112,26 @@ public: * * @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] info Kernel metadata: + * - k Number of matrix columns/rows depending on the type of reduction. + * - is_reshaped True if the matrix has been reshaped. + * - scalar Scalar value to multiply each reduced column/row by. + * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. */ - void configure(const ICLTensor *mtx_b, ICLTensor *vector_sum_col) override; + void configure(const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override; /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixBReductionKernel * * @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] info Kernel metadata: + * - k Number of matrix columns/rows depending on the type of reduction. + * - is_reshaped True if the matrix has been reshaped. + * - scalar Scalar value to multiply each reduced column/row by. + * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. * * @return a status */ - static Status validate(const ITensorInfo *mtx_b, const ITensorInfo *vector_sum_col); + static Status validate(const ITensorInfo *mtx_b, const ITensorInfo *vector_sum_col, const GEMMLowpReductionKernelInfo &info); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; |