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-rw-r--r--arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h16
1 files changed, 16 insertions, 0 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
index e1191f265e..d100efdcb7 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.h
@@ -58,6 +58,22 @@ public:
* @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices
*/
void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info);
+ /** Initialise the kernel's input and output.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input0 Input tensor containing the LHS matrix. Data type supported: QASYMM8/QASYMM8_SIGNED
+ * @param[in] input1 Input tensor containing the RHS matrix. Data type supported: same as @p input0
+ * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: S32
+ * @param[in] lhs_info LHS matrix information used to retrieve the number of rows to be processed by each thread
+ * lhs_info.m0: 2,3,4,5,6,7,8
+ * lhs_info.k0: 2,3,4,8,16
+ * @param[in] rhs_info RHS matrix information used to retrieve the number of columns to be processed by each thread
+ * rhs_info.n0: 2,3,4,8,16
+ * rhs_info.k0: same as lhs_info.k0
+ * @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices
+ */
+ void configure(CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
+ const GEMMReshapeInfo &gemm_info);
/** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyNativeKernel
*
* @param[in] input0 Input tensor info for the LHS matrix. Data type supported: QASYMM8/QASYMM8_SIGNED