diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h b/arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h index 9e0fe8059b..1090dd5b0a 100644 --- a/arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h +++ b/arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h @@ -36,7 +36,7 @@ class NEGEMMAssemblyBaseKernel : public INEKernel public: /** Constructor */ NEGEMMAssemblyBaseKernel() - : _input0(nullptr), _input1(nullptr), _output(nullptr), _workspace(nullptr), _alpha(1.f), _beta(0.f), _transform_0(true), _transform_1(true) + : _input0(nullptr), _input1(nullptr), _output(nullptr), _workspace(nullptr), _alpha(1.f), _beta(0.f), _is_transposed_0(false), _is_transposed_1(false) { } @@ -55,22 +55,22 @@ public: * * The computed function is C = a * AxB + b * C. * - * @param[in] input0 Input tensor containing the Matrix A. Data types supported: F32 - * @param[in] input1 Input tensor containing the Matrix B. Data types supported: same as @p input0 - * @param[in,out] output Output tensor to store the result of matrix multiplication. If @p beta is not zero the values are multiplied by @p beta before the result is accumulated. Otherwise the values are overwritten by the result. Data types supported: same as @p input0. - * @param[out] workspace Space for intermediate results. - * @param[in] alpha Weight of the matrix product - * @param[in] beta Weight of the accumulation. - * @param[in] transform_0 If true the kernel will transform @p input0 prior to the multiplication. - * @param[in] transform_1 If true the kernel will transform @p input1 prior to the multiplication. + * @param[in] input0 Input tensor containing the Matrix A. Data types supported: F32 + * @param[in] input1 Input tensor containing the Matrix B. Data types supported: same as @p input0 + * @param[in,out] output Output tensor to store the result of matrix multiplication. If @p beta is not zero the values are multiplied by @p beta before the result is accumulated. Otherwise the values are overwritten by the result. Data types supported: same as @p input0. + * @param[out] workspace Space for intermediate results. + * @param[in] alpha Weight of the matrix product + * @param[in] beta Weight of the accumulation. + * @param[in] is_transposed_0 (Optional)True if @p input0 is transposed else false. (Defaults to false) + * @param[in] is_transposed_1 (Optional)True if @p input1 is transposed else false. (Defaults to false) */ - void configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha = 1.f, float beta = 0.f, bool transform_0 = true, bool transform_1 = true) + void configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha = 1.f, float beta = 0.f, bool is_transposed_0 = false, bool is_transposed_1 = false) { - internal_configure(input0, input1, output, workspace, alpha, beta, transform_0, transform_1); + internal_configure(input0, input1, output, workspace, alpha, beta, is_transposed_0, is_transposed_1); } protected: - virtual void internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool transform_0, bool transform_1) = 0; + virtual void internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool _is_transposed_0, bool _is_transposed_1) = 0; const ITensor *_input0; const ITensor *_input1; @@ -78,8 +78,8 @@ protected: ITensor *_workspace; float _alpha; float _beta; - bool _transform_0; - bool _transform_1; + bool _is_transposed_0; + bool _is_transposed_1; }; } // namespace arm_compute #endif /*__ARM_COMPUTE_NEGEMMASSEMBLYBASE_H__*/ |