diff options
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h | 24 |
1 files changed, 16 insertions, 8 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h index 797bda86cf..724a7d67e6 100644 --- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h @@ -30,12 +30,14 @@ namespace arm_compute { class ICLTensor; -/** OpenCL kernel to multiply two input matrices "A" and "B" . All elements of the output matrix will be multiplied by alpha +/** OpenCL kernel to multiply two input matrices "A" and "B" and add a vector "C" if provided. All elements of the output matrix will be multiplied by alpha. In case vector C is passed, it will be added to the previous result (a broadcast addition will be performed). * * @note If the input tensors @p input0 and @p input1 have been reshaped respectively with @ref CLGEMMReshapeLHSMatrixKernel" and @ref CLGEMMReshapeRHSMatrixKernel, * the flag @p is_interleaved_transposed must be set to true * - * @attention The second input tensor must have at least 2 dimensions (matrix) + * @attention Vector C (@p input2) must be 1D. A broadcast addition is performed. + * + * @attention @p input1 tensor must have at least 2 dimensions (matrix) * */ class CLGEMMMatrixMultiplyKernel : public ICLKernel @@ -55,21 +57,25 @@ public: * * @param[in] input0 Input tensor containing the Matrix A. Data types supported: F16/F32 * @param[in] input1 Input tensor containing the Matrix B. Data type supported: same as @p input0 + * @param[in] input2 Input tensor containing the Vector C. Can be nullptr. Data type supported: same as @p input0 * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0 * @param[in] alpha Weight of the matrix product + * @param[in] beta (Optional) Weight of vector C. Default value is 0. Only beta = 1 is currently supported. * @param[in] is_interleaved_transposed (Optional) True if input0 and input1 have been reshaped respectively using @ref CLGEMMReshapeLHSMatrixKernel and @ref CLGEMMReshapeRHSMatrixKernel * @param[in] reshape_info (Optional) GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped * @param[in] fp_mixed_precision (Optional) Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy * */ - void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, float alpha, bool is_interleaved_transposed = true, const GEMMReshapeInfo &reshape_info = GEMMReshapeInfo(), - bool fp_mixed_precision = false); + void configure(const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta = 0.f, + bool is_interleaved_transposed = true, const GEMMReshapeInfo &reshape_info = GEMMReshapeInfo(), bool fp_mixed_precision = false); /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixMultiplyKernel * - * @param[in] input0 Input tensor containing the Matrix A. Data types supported: F16/F32 - * @param[in] input1 Input tensor containing the Matrix B. Data type supported: same as @p input0 + * @param[in] input0 Input tensor containing the Matrix A info. Data types supported: F16/F32 + * @param[in] input1 Input tensor containing the Matrix B info. Data type supported: same as @p input0 + * @param[in] input2 Input tensor containing the Vector C info. Can be nullptr. Data type supported: same as @p input0 * @param[in] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0 * @param[in] alpha Weight of the matrix product + * @param[in] beta Weight of vector C. Default value is 0. Only beta = 1 is currently supported. * @param[in] is_interleaved_transposed True if input0 and input1 have been reshaped respectively using @ref CLGEMMReshapeLHSMatrixKernel and @ref CLGEMMReshapeRHSMatrixKernel * @param[in] reshape_info GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped * @param[in] gpu_target GPU Target @@ -77,8 +83,8 @@ public: * * @return a status */ - static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, float alpha, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info, - GPUTarget gpu_target, bool fp_mixed_precision = false); + static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float alpha, float beta, + bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info, GPUTarget gpu_target, bool fp_mixed_precision = false); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; @@ -86,10 +92,12 @@ public: public: const ICLTensor *_input0; const ICLTensor *_input1; + const ICLTensor *_input2; ICLTensor *_output; bool _slide_matrix_b; bool _reinterpret_input_as_3d; bool _reinterpret_output_as_3d; + bool _has_vec_c; }; } // namespace arm_compute #endif /* __ARM_COMPUTE_CLGEMMMATRIXMULTIPLYKERNEL_H__ */ |