Pablo Tello | 11de30d | 2019-07-04 15:10:53 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2019 Arm Limited. |
Pablo Tello | 11de30d | 2019-07-04 15:10:53 +0100 | [diff] [blame] | 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/runtime/NEON/NEFunctions.h" |
| 25 | |
| 26 | #include "arm_compute/core/Types.h" |
| 27 | #include "utils/Utils.h" |
| 28 | |
| 29 | using namespace arm_compute; |
| 30 | using namespace utils; |
| 31 | |
| 32 | class NeonPermuteExample : public Example |
| 33 | { |
| 34 | public: |
| 35 | NeonPermuteExample() = default; |
| 36 | |
| 37 | bool do_setup(int, char **) override |
| 38 | { |
| 39 | // Initialise shapes |
| 40 | init_tensor(TensorShape(8U, 4U, 2U), tensor_nchw, DataType::U8, DataLayout::NCHW); |
| 41 | init_tensor(TensorShape(2U, 8U, 4U), tensor_nhwc, DataType::U8, DataLayout::NHWC); |
| 42 | init_tensor(TensorShape(8U, 4U, 2U), tensor_nchw_result, DataType::U8, DataLayout::NCHW); |
| 43 | |
| 44 | // Create the permutation vector to turn a NCHW tensor to NHWC. |
| 45 | // The input tensor is NCHW, which means that the fastest changing coordinate is W=8U. |
| 46 | // For permutation vectors the fastest changing coordinate is the one on the left too. |
| 47 | // Each element in the permutation vector specifies a mapping from the source tensor to the destination one, thus if we |
| 48 | // use 2U in the permutation vector's first element we are telling the function to move the channels to the fastest |
| 49 | // changing coordinate in the destination tensor. |
| 50 | |
| 51 | const PermutationVector vector_nchw_to_nhwc(2U, 0U, 1U); |
| 52 | permute_nhwc.configure(&tensor_nchw, &tensor_nhwc, vector_nchw_to_nhwc); |
| 53 | |
| 54 | // Allocate and fill tensors |
| 55 | tensor_nhwc.allocator()->allocate(); |
| 56 | tensor_nchw.allocator()->allocate(); |
| 57 | fill_tensor(tensor_nchw); |
| 58 | |
| 59 | // Demostrate autoconfigure for the output tensor |
| 60 | const PermutationVector vector_nhwc_to_nchw(1U, 2U, 0U); |
| 61 | permute_nchw.configure(&tensor_nhwc, &tensor_nchw_result, vector_nhwc_to_nchw); |
| 62 | tensor_nchw_result.allocator()->allocate(); |
| 63 | |
| 64 | return true; |
| 65 | } |
| 66 | void do_run() override |
| 67 | { |
| 68 | permute_nhwc.run(); |
| 69 | permute_nchw.run(); |
| 70 | } |
| 71 | void do_teardown() override |
| 72 | { |
| 73 | #if ARM_COMPUTE_DEBUG_ENABLED |
| 74 | std::cout << "Tensor NCHW" << std::endl; |
| 75 | tensor_nchw.print(std::cout); |
| 76 | std::cout << "Tensor NHWC" << std::endl; |
| 77 | tensor_nhwc.print(std::cout); |
Gian Marco Iodice | ca1f460 | 2019-07-16 15:46:48 +0100 | [diff] [blame] | 78 | #endif // ARM_COMPUTE_DEBUG_ENABLED |
Pablo Tello | 11de30d | 2019-07-04 15:10:53 +0100 | [diff] [blame] | 79 | } |
| 80 | |
| 81 | private: |
| 82 | void validate_result(const Tensor &reference, const Tensor &result) |
| 83 | { |
| 84 | Window window; |
| 85 | window.use_tensor_dimensions(reference.info()->tensor_shape()); |
| 86 | Iterator ref_it(&reference, window); |
| 87 | Iterator res_it(&result, window); |
| 88 | execute_window_loop(window, [&](const Coordinates &) |
| 89 | { |
| 90 | assert(*reinterpret_cast<unsigned char *>(ref_it.ptr()) == *reinterpret_cast<unsigned char *>(res_it.ptr())); |
| 91 | }, |
| 92 | ref_it, res_it); |
| 93 | } |
| 94 | |
| 95 | void fill_tensor(Tensor &tensor) |
| 96 | { |
| 97 | Window window; |
| 98 | window.use_tensor_dimensions(tensor.info()->tensor_shape()); |
| 99 | Iterator tensor_it(&tensor, window); |
| 100 | unsigned char val(0); |
| 101 | execute_window_loop(window, [&](const Coordinates &) |
| 102 | { |
| 103 | *reinterpret_cast<unsigned char *>(tensor_it.ptr()) = val++; |
| 104 | }, |
| 105 | tensor_it); |
| 106 | } |
| 107 | void init_tensor(const TensorShape shape, Tensor &tensor, DataType type, DataLayout layout) |
| 108 | { |
| 109 | tensor.allocator()->init(TensorInfo(shape, 1, type).set_data_layout(layout)); |
| 110 | } |
| 111 | |
| 112 | Tensor tensor_nchw{}; |
| 113 | Tensor tensor_nhwc{}; |
| 114 | Tensor tensor_nchw_result{}; |
| 115 | NEPermute permute_nhwc{}; |
| 116 | NEPermute permute_nchw{}; |
| 117 | }; |
| 118 | |
| 119 | /** Main program that instantiates a permute function example. |
| 120 | * |
| 121 | * @param[in] argc Number of arguments |
| 122 | * @param[in] argv Arguments |
| 123 | */ |
| 124 | int main(int argc, char **argv) |
| 125 | { |
| 126 | return utils::run_example<NeonPermuteExample>(argc, argv); |
| 127 | } |