Port NEGEMM to memory injecting interface (Part 2)
- Port NEGEMMMatrixMultiplyKernel to the new API
Partially resolves: COMPMID-4402
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Change-Id: I52b67055dc24bb3a417d6ec5aeeee86e21b74320
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5873
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.h b/src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.h
index 216e61b..c8e6fa9 100644
--- a/src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.h
+++ b/src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.h
@@ -38,7 +38,7 @@
* @note [ MTX_OUT = MTX_0 + beta * MTX_1 ] with MTX_0 and MTX_1 of the same size
*
* @note This stage is used to finalize the GEMM result and it is computed if and only if beta != 0.0. In case this kernel is used for finalizing GEMM result, we have:
- * - MTX_0 = A * B * alpha, where MTX_0 is the output of @ref NEGEMMMatrixMultiplyKernel
+ * - MTX_0 = A * B * alpha, where MTX_0 is the output of @ref CpuGemmMatrixMultiplyKernel
* - MTX_1 = C
*/
class CpuGemmMatrixAdditionKernel : public ICpuKernel
@@ -52,7 +52,7 @@
* @note The input and output tensor must have the same dimensions
*
* @param[in] src Input tensor info (Matrix C). Data types supported: F16/F32
- * @param[in, out] dst Output tensor info. If this kernel is used to finalize the GEMM result, output contains the result obtained by the kernel @ref NEGEMMMatrixMultiplyKernel. Data type supported: the same as @p src.
+ * @param[in, out] dst Output tensor info. If this kernel is used to finalize the GEMM result, output contains the result obtained by the kernel @ref CpuGemmMatrixMultiplyKernel. Data type supported: the same as @p src.
* @param[in] beta Weight of matrix C
*/
void configure(const ITensorInfo *src, ITensorInfo *dst, float beta);