/* * Copyright (c) 2016-2023 Arm Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #ifndef ACL_ARM_COMPUTE_FUNCTION_INFO_FULLYCONNECTEDLAYERINFO #define ACL_ARM_COMPUTE_FUNCTION_INFO_FULLYCONNECTEDLAYERINFO #include "arm_compute/core/CoreTypes.h" #include "arm_compute/function_info/ActivationLayerInfo.h" namespace arm_compute { /** Fully connected layer info */ struct FullyConnectedLayerInfo { /* Fused-activation parameters */ ActivationLayerInfo activation_info{}; /**< Fused activation to apply after the matrix multiplication. */ /* Information about weights */ DataLayout weights_trained_layout{DataLayout::NCHW}; /**< Layout that the weights have been trained with. */ bool transpose_weights{true}; /**< Transpose weights if true. */ bool are_weights_reshaped{false}; /**< @deprecated Reshape the weights tensor if false. */ bool retain_internal_weights{false}; /**< Retain internal reshaped weights. */ bool enable_fast_math{false}; /**< Enable fast math computation. */ /* Other parameters */ bool fp_mixed_precision{false}; /**< Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. */ /** Sets the weights trained data layout * * @param[in] layout Data layout that the weights were trained with * * @return Updated object */ FullyConnectedLayerInfo &set_weights_trained_layout(DataLayout layout) { weights_trained_layout = layout; return *this; } /** Sets the transpose weights flag * * @param[in] should_transpose_weights Boolean flag indicating if weights should be transposed * * @return Updated object */ FullyConnectedLayerInfo &set_transpose_weights(bool should_transpose_weights) { transpose_weights = should_transpose_weights; return *this; } }; } // namespace arm_compute #endif /* ACL_ARM_COMPUTE_FUNCTION_INFO_FULLYCONNECTEDLAYERINFO */