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-rw-r--r--arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h17
1 files changed, 13 insertions, 4 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h
index 4052a09162..68ab94a31d 100644
--- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h
@@ -51,8 +51,10 @@ public:
*
* @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: F32/F16. The number of dimensions for the LHS matrix must be less or equal than 4
* @param[in] input1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3
+ * @param[in] input2 Input tensor containing the bias matrix. 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 Weight of the matrix bias
* @param[in] lhs_info LHS matrix information used for reshaping the input0 tensor. Only the following values are supported:
* lhs_info.m0: 2,3,4,5,6,7,8
* lhs_info.k0: 2,3,4,8,16
@@ -65,14 +67,17 @@ public:
*
* @note lhs_info.k0 must be equal to rhs_info.k0
*/
- void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, float alpha, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
- const GEMMReshapeInfo &gemm_info);
+ void configure(const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta, 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 CLGEMMMatrixMultiplyReshapedKernel
*
* @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: F32/F16. The number of dimensions for the LHS matrix must be less or equal than 4
* @param[in] input1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3
+ * @param[in] input2 Input tensor info containing the bias matrix. 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 the matrix bias
* @param[in] lhs_info LHS matrix information used for reshaping the input0 tensor. Only the following values are supported:
* lhs_info.m0: 2,3,4,5,6,7,8
* lhs_info.k0: 2,3,4,8,16
@@ -87,8 +92,9 @@ public:
*
* @return a status
*/
- static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, float alpha, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
- const GEMMReshapeInfo &gemm_info);
+ static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info,
+ const GEMMRHSMatrixInfo &rhs_info,
+ const GEMMReshapeInfo &gemm_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
@@ -96,11 +102,14 @@ public:
private:
const ICLTensor *_input0;
const ICLTensor *_input1;
+ const ICLTensor *_input2;
ICLTensor *_output;
bool _slide_matrix_b;
bool _reinterpret_output_as_3d;
unsigned int _k;
bool _use_dummy_work_items;
+ bool _add_bias;
+ bool _broadcast_bias;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H__*/ \ No newline at end of file