Abe Mbise | 1b99338 | 2017-12-19 13:51:59 +0000 | [diff] [blame] | 1 | /* |
Ramy Elgammal | 73f19af | 2022-10-23 11:44:49 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2018, 2021-2022 Arm Limited. |
Abe Mbise | 1b99338 | 2017-12-19 13:51:59 +0000 | [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 | |
Ramy Elgammal | 73f19af | 2022-10-23 11:44:49 +0100 | [diff] [blame] | 25 | #ifndef ARM_COMPUTE_TEST_SIMPLE_TENSOR_PRINTER |
| 26 | #define ARM_COMPUTE_TEST_SIMPLE_TENSOR_PRINTER |
| 27 | |
Abe Mbise | 1b99338 | 2017-12-19 13:51:59 +0000 | [diff] [blame] | 28 | #include "arm_compute/core/Error.h" |
| 29 | |
| 30 | #include "tests/RawTensor.h" |
| 31 | #include "tests/SimpleTensor.h" |
| 32 | |
| 33 | #include <iostream> |
| 34 | #include <sstream> |
| 35 | |
| 36 | namespace arm_compute |
| 37 | { |
| 38 | namespace test |
| 39 | { |
Abe Mbise | 1b99338 | 2017-12-19 13:51:59 +0000 | [diff] [blame] | 40 | template <typename T> |
| 41 | inline std::string prettify_tensor(const SimpleTensor<T> &input, const IOFormatInfo &io_fmt = IOFormatInfo{ IOFormatInfo::PrintRegion::NoPadding }) |
| 42 | { |
| 43 | ARM_COMPUTE_ERROR_ON(input.data() == nullptr); |
| 44 | |
| 45 | RawTensor tensor(std::move(SimpleTensor<T>(input))); |
| 46 | |
| 47 | TensorInfo info(tensor.shape(), tensor.num_channels(), tensor.data_type()); |
| 48 | |
| 49 | const DataType dt = info.data_type(); |
| 50 | const size_t slices2D = info.tensor_shape().total_size_upper(2); |
| 51 | const Strides strides = info.strides_in_bytes(); |
| 52 | const PaddingSize padding = info.padding(); |
| 53 | const size_t num_channels = info.num_channels(); |
| 54 | |
| 55 | std::ostringstream os; |
| 56 | |
| 57 | // Set precision |
| 58 | if(is_data_type_float(dt) && (io_fmt.precision_type != IOFormatInfo::PrecisionType::Default)) |
| 59 | { |
| 60 | int precision = io_fmt.precision; |
| 61 | if(io_fmt.precision_type == IOFormatInfo::PrecisionType::Full) |
| 62 | { |
| 63 | precision = std::numeric_limits<float>().max_digits10; |
| 64 | } |
| 65 | os.precision(precision); |
| 66 | } |
| 67 | |
| 68 | // Define region to print |
| 69 | size_t print_width = 0; |
| 70 | size_t print_height = 0; |
| 71 | int start_offset = 0; |
| 72 | switch(io_fmt.print_region) |
| 73 | { |
| 74 | case IOFormatInfo::PrintRegion::NoPadding: |
| 75 | print_width = info.dimension(0); |
| 76 | print_height = info.dimension(1); |
| 77 | start_offset = info.offset_first_element_in_bytes(); |
| 78 | break; |
| 79 | case IOFormatInfo::PrintRegion::ValidRegion: |
| 80 | print_width = info.valid_region().shape.x(); |
| 81 | print_height = info.valid_region().shape.y(); |
| 82 | start_offset = info.offset_element_in_bytes(Coordinates(info.valid_region().anchor.x(), |
| 83 | info.valid_region().anchor.y())); |
| 84 | break; |
| 85 | case IOFormatInfo::PrintRegion::Full: |
| 86 | print_width = padding.left + info.dimension(0) + padding.right; |
| 87 | print_height = padding.top + info.dimension(1) + padding.bottom; |
| 88 | start_offset = static_cast<int>(info.offset_first_element_in_bytes()) - padding.top * strides[1] - padding.left * strides[0]; |
| 89 | break; |
| 90 | default: |
| 91 | break; |
| 92 | } |
| 93 | |
| 94 | print_width = print_width * num_channels; |
| 95 | |
| 96 | // Set pointer to start |
| 97 | const uint8_t *ptr = tensor.data() + start_offset; |
| 98 | |
| 99 | // Start printing |
| 100 | for(size_t i = 0; i < slices2D; ++i) |
| 101 | { |
| 102 | // Find max_width of elements in slice to align columns |
| 103 | int max_element_width = 0; |
| 104 | if(io_fmt.align_columns) |
| 105 | { |
| 106 | size_t offset = i * strides[2]; |
| 107 | for(size_t h = 0; h < print_height; ++h) |
| 108 | { |
| 109 | max_element_width = std::max<int>(max_element_width, max_consecutive_elements_display_width(os, dt, ptr + offset, print_width)); |
| 110 | offset += strides[1]; |
| 111 | } |
| 112 | } |
| 113 | |
| 114 | // Print slice |
| 115 | { |
| 116 | size_t offset = i * strides[2]; |
| 117 | for(size_t h = 0; h < print_height; ++h) |
| 118 | { |
| 119 | print_consecutive_elements(os, dt, ptr + offset, print_width, max_element_width, io_fmt.element_delim); |
| 120 | offset += strides[1]; |
| 121 | os << io_fmt.row_delim; |
| 122 | } |
| 123 | os << io_fmt.row_delim; |
| 124 | } |
| 125 | } |
| 126 | |
| 127 | return os.str(); |
| 128 | } |
| 129 | |
| 130 | template <typename T> |
| 131 | inline std::ostream &operator<<(std::ostream &os, const SimpleTensor<T> &tensor) |
| 132 | { |
| 133 | os << prettify_tensor(tensor, IOFormatInfo{ IOFormatInfo::PrintRegion::NoPadding }); |
| 134 | return os; |
| 135 | } |
| 136 | |
| 137 | template <typename T> |
| 138 | inline std::string to_string(const SimpleTensor<T> &tensor) |
| 139 | { |
| 140 | std::stringstream ss; |
| 141 | ss << tensor; |
| 142 | return ss.str(); |
| 143 | } |
| 144 | |
| 145 | #if PRINT_TENSOR_LIMIT |
| 146 | template <typename T> |
| 147 | void print_simpletensor(const SimpleTensor<T> &tensor, const std::string &title, const IOFormatInfo::PrintRegion ®ion = IOFormatInfo::PrintRegion::NoPadding) |
| 148 | { |
| 149 | if(tensor.num_elements() < PRINT_TENSOR_LIMIT) |
| 150 | { |
| 151 | std::cout << title << ":" << std::endl; |
| 152 | std::cout << prettify_tensor(tensor, IOFormatInfo{ region }); |
| 153 | } |
| 154 | } |
| 155 | #endif // PRINT_TENSOR_LIMIT |
Abe Mbise | 1b99338 | 2017-12-19 13:51:59 +0000 | [diff] [blame] | 156 | } // namespace test |
| 157 | } // namespace arm_compute |
Ramy Elgammal | 73f19af | 2022-10-23 11:44:49 +0100 | [diff] [blame] | 158 | #endif /* ARM_COMPUTE_TEST_SIMPLE_TENSOR_PRINTER */ |