Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 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 | #include "arm_compute/core/NEON/kernels/NEConvertFullyConnectedWeightsKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/Helpers.h" |
| 27 | #include "arm_compute/core/Types.h" |
| 28 | |
| 29 | using namespace arm_compute; |
| 30 | |
| 31 | NEConvertFullyConnectedWeightsKernel::NEConvertFullyConnectedWeightsKernel() |
| 32 | : _input(nullptr), _output(nullptr), _factor1(0), _factor2(0) |
| 33 | { |
| 34 | } |
| 35 | |
| 36 | void NEConvertFullyConnectedWeightsKernel::configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, |
| 37 | DataLayout data_layout) |
| 38 | { |
| 39 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| 40 | ARM_COMPUTE_ERROR_THROW_ON(NEConvertFullyConnectedWeightsKernel::validate(input->info(), output->info(), original_input_shape, data_layout)); |
| 41 | |
| 42 | _input = input; |
| 43 | _output = output; |
| 44 | |
| 45 | const unsigned int num_elems_per_input_plane = original_input_shape.x() * original_input_shape.y(); |
| 46 | const unsigned int num_channels = original_input_shape.z(); |
| 47 | |
| 48 | // Set build options |
| 49 | if(data_layout == DataLayout::NCHW) |
| 50 | { |
| 51 | _factor1 = num_elems_per_input_plane; |
| 52 | _factor2 = num_channels; |
| 53 | } |
| 54 | else |
| 55 | { |
| 56 | _factor1 = num_channels; |
| 57 | _factor2 = num_elems_per_input_plane; |
| 58 | } |
| 59 | |
| 60 | // Configure kernel window |
| 61 | Window win = calculate_max_window(*input->info(), Steps()); |
| 62 | INEKernel::configure(win); |
| 63 | } |
| 64 | |
| 65 | Status NEConvertFullyConnectedWeightsKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, |
| 66 | DataLayout data_layout) |
| 67 | { |
| 68 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::QS16, DataType::U32, DataType::S32, |
| 69 | DataType::QS32, DataType::F16, DataType::F32); |
| 70 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| 71 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| 72 | ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() != 2); |
| 73 | ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(1) != original_input_shape.total_size_lower(3)); |
| 74 | ARM_COMPUTE_RETURN_ERROR_ON(data_layout == DataLayout::UNKNOWN); |
| 75 | |
| 76 | return Status{}; |
| 77 | } |
| 78 | |
| 79 | template <typename T> |
| 80 | void NEConvertFullyConnectedWeightsKernel::run_convert_fc_weights(const Window &window) |
| 81 | { |
| 82 | const unsigned int dst_stride_x = _output->info()->strides_in_bytes().x(); |
| 83 | const unsigned int dst_stride_y = _output->info()->strides_in_bytes().y(); |
| 84 | |
| 85 | Iterator input(_input, window); |
| 86 | Iterator output(_output, window); |
| 87 | |
| 88 | execute_window_loop(window, [&](const Coordinates & id) |
| 89 | { |
| 90 | *reinterpret_cast<T *>(output.ptr() + id.x() * dst_stride_x + (id.y() % _factor1 * _factor2 + id.y() / _factor1) * dst_stride_y) = *reinterpret_cast<T *>(input.ptr()); |
| 91 | }, |
| 92 | input); |
| 93 | } |
| 94 | |
| 95 | void NEConvertFullyConnectedWeightsKernel::run(const Window &window, const ThreadInfo &info) |
| 96 | { |
| 97 | ARM_COMPUTE_UNUSED(info); |
| 98 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 99 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 100 | |
| 101 | switch(_input->info()->element_size()) |
| 102 | { |
| 103 | case 1: |
| 104 | run_convert_fc_weights<uint8_t>(window); |
| 105 | break; |
| 106 | case 2: |
| 107 | run_convert_fc_weights<uint16_t>(window); |
| 108 | break; |
| 109 | case 4: |
| 110 | run_convert_fc_weights<uint32_t>(window); |
| 111 | break; |
| 112 | default: |
| 113 | ARM_COMPUTE_ERROR("Data type not supported."); |
| 114 | break; |
| 115 | } |
| 116 | } |