diff options
Diffstat (limited to 'arm_compute/core/Types.h')
| -rw-r--r-- | arm_compute/core/Types.h | 19 |
1 files changed, 3 insertions, 16 deletions
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h index 0acbb3f59e..31199e138b 100644 --- a/arm_compute/core/Types.h +++ b/arm_compute/core/Types.h @@ -1557,7 +1557,6 @@ struct FullyConnectedLayerInfo bool transpose_weights{ true }; /**< Transpose weights if true. */ bool are_weights_reshaped{ false }; /**< Reshape the weights tensor if false. */ bool retain_internal_weights{ false }; /**< Retain internal reshaped weights. */ - bool constant_weights{ true }; /**< If false, weights can vary between runs. */ /* Other parameters */ bool fp_mixed_precision{ false }; /**< Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. */ @@ -1965,8 +1964,7 @@ public: _fp_mixed_precision(false), _broadcast_bias(false), _pretranspose_B(true), - _activation_info(), - _constant_weights(true) + _activation_info() { } /** Constructor @@ -1984,11 +1982,10 @@ public: * @param[in] fast_math (Optional) Use a data type of shorter width to improve performance * @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 fast_math = false, bool broadcast_bias = false, - const ActivationLayerInfo &activation_info = ActivationLayerInfo(), bool constant_weights = true) noexcept + 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), @@ -2000,8 +1997,7 @@ public: _fp_mixed_precision(fp_mixed_precision), _broadcast_bias(broadcast_bias), _pretranspose_B(reshape_b_only_on_first_run), - _activation_info(activation_info), - _constant_weights(constant_weights) + _activation_info(activation_info) { } /** Flag which specifies if the matrix A has been reshaped @@ -2126,14 +2122,6 @@ 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; @@ -2148,7 +2136,6 @@ private: bool _broadcast_bias; bool _pretranspose_B; ActivationLayerInfo _activation_info; - bool _constant_weights; }; /** Winograd information */ |