diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h | 13 |
1 files changed, 8 insertions, 5 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h b/arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h index b5a2978ea1..ec4f700034 100644 --- a/arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h +++ b/arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h @@ -67,6 +67,7 @@ private: * @param[in] method GemmMethod to use to perform the matrix multiplication. * @param[in] a Input tensor (Matrix A). * @param[in] b Input tensor (Matrix B). + * @param[in] c Input tensor (Matrix C) used to pass the bias for quantized calculations * @param[out] d Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0. * @param[in] alpha Scalar multiplier to apply to AB matrix product. * @param[in] beta Scalar multiplier to apply to input D matrix before adding product. @@ -74,7 +75,7 @@ private: * * @return True if the method is supported and the function was successfully created, false otherwise. */ - bool create_function(arm_gemm::GemmMethod method, const ITensor *a, const ITensor *b, ITensor *d, float alpha, float beta, const GEMMInfo &gemm_info); + bool create_function(arm_gemm::GemmMethod method, const ITensor *a, const ITensor *b, const ITensor *c, ITensor *d, float alpha, float beta, const GEMMInfo &gemm_info); /** Interface for the arm_gemm fallback */ std::unique_ptr<IFallback> _arm_gemm; @@ -85,17 +86,19 @@ public: * * @param[in] a Input tensor (Matrix A) * @param[in] b Input tensor (Matrix B) + * @param[in] c Input tensor (Matrix C) used to pass the bias for quantized calculations * @param[out] d Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0. * @param[in] alpha Scalar multiplier to apply to AB matrix product. * @param[in] beta Scalar multiplier to apply to input D matrix before adding product. * @param[in] gemm_info GEMM meta-data */ - void configure(const ITensor *a, const ITensor *b, ITensor *d, float alpha, float beta, const GEMMInfo &gemm_info); + void configure(const ITensor *a, const ITensor *b, const ITensor *c, ITensor *d, float alpha, float beta, const GEMMInfo &gemm_info); /** Indicates whether or not this function can be used to process the given parameters. * - * @param[in] a Input tensor (Matrix A) - * @param[in] b Input tensor (Matrix B) + * @param[in] a Input tensor info (Matrix A) + * @param[in] b Input tensor info (Matrix B) + * @param[in] c Input tensor info (Matrix C) used to pass the bias for quantized calculations * @param[in] d Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0. * @param[in] alpha Scalar multiplier to apply to AB matrix product. * @param[in] beta Scalar multiplier to apply to input D matrix before adding product. @@ -103,7 +106,7 @@ public: * * @return a status. */ - static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *d, float alpha, float beta, const GEMMInfo &gemm_info); + static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *d, float alpha, float beta, const GEMMInfo &gemm_info); /** Was the function successfully configured ? * * @return True if the function is configured and ready to run |