diff options
Diffstat (limited to 'arm_compute/core/Types.h')
| -rw-r--r-- | arm_compute/core/Types.h | 19 |
1 files changed, 16 insertions, 3 deletions
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h index b4d94eced4..2c17f273a5 100644 --- a/arm_compute/core/Types.h +++ b/arm_compute/core/Types.h @@ -1775,7 +1775,8 @@ public: _gemmlowp_output_stage(), _fp_mixed_precision(false), _broadcast_bias(false), - _pretranpose_B(true) + _pretranpose_B(true), + _activation_info() { } /** Constructor @@ -1791,9 +1792,11 @@ public: * @param[in] gemmlowp_output_stage (Optional) GEMMLowp Output stage info * @param[in] fp_mixed_precision (Optional) Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. * @param[in] broadcast_bias (Optional) Broadcast the shape of the bias tensor from a vector to a matrix. + * @param[in] activation_info (Optional) Activation to apply after the matrix multiplication */ GEMMInfo(bool is_a_reshaped, bool is_b_reshaped, bool reshape_b_only_on_first_run, int depth_output_gemm3d = 0, bool reinterpret_input_as_3d = false, bool retain_internal_weights = false, - GEMMLowpOutputStageInfo gemmlowp_output_stage = GEMMLowpOutputStageInfo(), bool fp_mixed_precision = false, bool broadcast_bias = false) noexcept + GEMMLowpOutputStageInfo gemmlowp_output_stage = GEMMLowpOutputStageInfo(), bool fp_mixed_precision = false, bool broadcast_bias = false, + const ActivationLayerInfo &activation_info = ActivationLayerInfo()) noexcept : _is_a_reshaped(is_a_reshaped), _is_b_reshaped(is_b_reshaped), _reshape_b_only_on_first_run(reshape_b_only_on_first_run), @@ -1803,7 +1806,8 @@ public: _gemmlowp_output_stage(gemmlowp_output_stage), _fp_mixed_precision(fp_mixed_precision), _broadcast_bias(broadcast_bias), - _pretranpose_B(reshape_b_only_on_first_run) + _pretranpose_B(reshape_b_only_on_first_run), + _activation_info(activation_info) { } /** Flag which specifies if the matrix A has been reshaped @@ -1896,6 +1900,14 @@ public: { _pretranpose_B = flag; } + /** Activation layer to apply after the matrix multiplication + * + * @return ActivationLayerInfo object + */ + ActivationLayerInfo activation_info() const + { + return _activation_info; + } private: bool _is_a_reshaped; @@ -1908,6 +1920,7 @@ private: bool _fp_mixed_precision; bool _broadcast_bias; bool _pretranpose_B; + ActivationLayerInfo _activation_info; }; /** Winograd information */ |