Matthew Bentham | f1aeab9 | 2023-05-30 13:35:34 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2016-2023 Arm Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef ARM_COMPUTE_FULLYCONNECTEDLAYERINFO_H |
| 25 | #define ARM_COMPUTE_FULLYCONNECTEDLAYERINFO_H |
| 26 | |
| 27 | #include "arm_compute/core/ActivationLayerInfo.h" |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | |
| 30 | namespace arm_compute |
| 31 | { |
| 32 | /** Fully connected layer info */ |
| 33 | struct FullyConnectedLayerInfo |
| 34 | { |
| 35 | /* Fused-activation parameters */ |
| 36 | ActivationLayerInfo activation_info{}; /**< Fused activation to apply after the matrix multiplication. */ |
| 37 | /* Information about weights */ |
| 38 | DataLayout weights_trained_layout{ DataLayout::NCHW }; /**< Layout that the weights have been trained with. */ |
| 39 | bool transpose_weights{ true }; /**< Transpose weights if true. */ |
| 40 | bool are_weights_reshaped{ false }; /**< @deprecated Reshape the weights tensor if false. */ |
| 41 | bool retain_internal_weights{ false }; /**< Retain internal reshaped weights. */ |
| 42 | bool enable_fast_math{ false }; /**< Enable fast math computation. */ |
| 43 | /* Other parameters */ |
| 44 | bool fp_mixed_precision{ false }; /**< Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. */ |
| 45 | |
| 46 | /** Sets the weights trained data layout |
| 47 | * |
| 48 | * @param[in] layout Data layout that the weights were trained with |
| 49 | * |
| 50 | * @return Updated object |
| 51 | */ |
| 52 | FullyConnectedLayerInfo &set_weights_trained_layout(DataLayout layout) |
| 53 | { |
| 54 | weights_trained_layout = layout; |
| 55 | return *this; |
| 56 | } |
| 57 | /** Sets the transpose weights flag |
| 58 | * |
| 59 | * @param[in] should_transpose_weights Boolean flag indicating if weights should be transposed |
| 60 | * |
| 61 | * @return Updated object |
| 62 | */ |
| 63 | FullyConnectedLayerInfo &set_transpose_weights(bool should_transpose_weights) |
| 64 | { |
| 65 | transpose_weights = should_transpose_weights; |
| 66 | return *this; |
| 67 | } |
| 68 | }; |
| 69 | |
| 70 | } // namespace arm_compute |
| 71 | #endif /* ARM_COMPUTE_FULLYCONNECTEDLAYERINFO_H */ |