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, 36 insertions, 0 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h index 71681cf628..4b610fa6d0 100644 --- a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h @@ -57,6 +57,18 @@ public: * - mul_byscalar True if each reduced column/row must be multiplied by a scalar value. */ virtual void configure(const ICLTensor *input, ICLTensor *output, const GEMMLowpReductionKernelInfo &info) = 0; + /** Initialise the kernel's input and output. + * + * @param[in] compile_context The compile context to be used. + * @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(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const GEMMLowpReductionKernelInfo &info) = 0; protected: const ICLTensor *_input; @@ -82,6 +94,18 @@ public: * - 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, const GEMMLowpReductionKernelInfo &info) override; + /** Initialise the kernel's input and output. + * + * @param[in] compile_context The compile context to be used. + * @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(CLCompileContext &compile_context, 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 @@ -119,6 +143,18 @@ public: * - 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, const GEMMLowpReductionKernelInfo &info) override; + /** Initialise the kernel's input and output. + * + * @param[in] compile_context The compile context to be used. + * @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(CLCompileContext &compile_context, 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 |