diff options
Diffstat (limited to 'arm_compute/core/Types.h')
| -rw-r--r-- | arm_compute/core/Types.h | 18 |
1 files changed, 15 insertions, 3 deletions
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h index ec9c419dbc..2dc9a77c39 100644 --- a/arm_compute/core/Types.h +++ b/arm_compute/core/Types.h @@ -1954,7 +1954,8 @@ public: _fp_mixed_precision(false), _broadcast_bias(false), _pretranpose_B(true), - _activation_info() + _activation_info(), + _constant_weights(true) { } /** Constructor @@ -1971,10 +1972,11 @@ public: * @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 + * @param[in] constant_weights (Optional) Weights have constant values throughout multiple executions */ 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, - const ActivationLayerInfo &activation_info = ActivationLayerInfo()) noexcept + const ActivationLayerInfo &activation_info = ActivationLayerInfo(), bool constant_weights = true) 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), @@ -1985,7 +1987,8 @@ public: _fp_mixed_precision(fp_mixed_precision), _broadcast_bias(broadcast_bias), _pretranpose_B(reshape_b_only_on_first_run), - _activation_info(activation_info) + _activation_info(activation_info), + _constant_weights(constant_weights) { } /** Flag which specifies if the matrix A has been reshaped @@ -2102,6 +2105,14 @@ public: { _activation_info = activation_info; } + /** Flag which specifies if the values of the weights tensor are constant throughout multiple executions or not + * + * @return True if the weights tensor is constant + */ + bool constant_weights() const + { + return _constant_weights; + }; private: bool _is_a_reshaped; @@ -2115,6 +2126,7 @@ private: bool _broadcast_bias; bool _pretranpose_B; ActivationLayerInfo _activation_info; + bool _constant_weights; }; /** Winograd information */ |