XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 1 | // Copyright 2020 Google LLC |
| 2 | // |
| 3 | // This source code is licensed under the BSD-style license found in the |
| 4 | // LICENSE file in the root directory of this source tree. |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <xnnpack.h> |
| 9 | #include <xnnpack/subgraph.h> |
| 10 | |
| 11 | #include <algorithm> |
| 12 | #include <cassert> |
| 13 | #include <cmath> |
| 14 | #include <cstddef> |
| 15 | #include <cstdlib> |
| 16 | #include <functional> |
peter | 65692c7 | 2021-08-17 23:41:05 +0800 | [diff] [blame] | 17 | #include <numeric> |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 18 | #include <random> |
| 19 | #include <vector> |
| 20 | |
| 21 | #include <gtest/gtest.h> |
| 22 | |
| 23 | enum xnn_tensor_type { |
Marat Dukhan | 54b2d54 | 2020-12-08 00:19:52 -0800 | [diff] [blame] | 24 | kStaticDense, |
| 25 | kStaticSparse, |
| 26 | kDynamic, |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 27 | }; |
| 28 | |
| 29 | class SubgraphTester { |
| 30 | public: |
| 31 | explicit SubgraphTester(uint32_t external_value_ids) { |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 32 | xnn_status status = xnn_initialize(nullptr); |
| 33 | EXPECT_EQ(status, xnn_status_success); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 34 | |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 35 | xnn_subgraph_t subgraph_ptr = nullptr; |
| 36 | status = xnn_create_subgraph(external_value_ids, 0 /* flags */, &subgraph_ptr); |
| 37 | EXPECT_EQ(status, xnn_status_success); |
| 38 | subgraph_.reset(subgraph_ptr); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 39 | |
| 40 | std::random_device random_device; |
| 41 | rng_ = std::mt19937(random_device()); |
| 42 | } |
| 43 | |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 44 | inline SubgraphTester& add_tensor(const std::vector<size_t>& dims, |
| 45 | xnn_tensor_type tensor_type, |
| 46 | uint32_t external_id) { |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 47 | void* data = nullptr; |
Marat Dukhan | 54b2d54 | 2020-12-08 00:19:52 -0800 | [diff] [blame] | 48 | if (tensor_type == kStaticDense || tensor_type == kStaticSparse) { |
Marat Dukhan | 4eddb9c | 2020-12-13 17:29:44 -0800 | [diff] [blame] | 49 | const size_t num_elements = std::accumulate(std::begin(dims), std::end(dims), 1, std::multiplies<size_t>()); |
Marat Dukhan | 54b2d54 | 2020-12-08 00:19:52 -0800 | [diff] [blame] | 50 | static_data_.emplace_back(num_elements); |
| 51 | std::vector<float>& weights = static_data_.back(); |
| 52 | auto f32rng = std::bind(std::uniform_real_distribution<float>(-1.0f, +1.0f), std::ref(rng_)); |
| 53 | if (tensor_type == kStaticDense) { |
| 54 | std::generate(weights.begin(), weights.end(), std::ref(f32rng)); |
| 55 | } else { |
| 56 | // Create tensor with 90% sparsity in two steps: |
| 57 | // 1. Generate non-zero elements in the beginning of the vector |
| 58 | // 2. Randomize positions of non-zero elements |
| 59 | const size_t num_nonzero_elements = num_elements / 10; |
| 60 | std::generate(weights.begin(), weights.begin() + num_nonzero_elements, std::ref(f32rng)); |
| 61 | std::shuffle(weights.begin(), weights.end(), rng_); |
| 62 | } |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 63 | data = weights.data(); |
| 64 | } |
| 65 | uint32_t id_out = 0; |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 66 | const xnn_status status = |
| 67 | xnn_define_tensor_value(subgraph_.get(), xnn_datatype_fp32, dims.size(), |
| 68 | dims.data(), data, external_id, 0 /* flags */, &id_out); |
| 69 | EXPECT_EQ(status, xnn_status_success); |
| 70 | EXPECT_EQ(id_out, external_id); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 71 | |
| 72 | return *this; |
| 73 | } |
| 74 | |
| 75 | inline SubgraphTester& add_conv( |
| 76 | uint32_t input_padding_top, uint32_t input_padding_right, |
| 77 | uint32_t input_padding_bottom, uint32_t input_padding_left, |
| 78 | uint32_t kernel_height, uint32_t kernel_width, |
| 79 | uint32_t subsampling_height, uint32_t subsampling_width, |
| 80 | uint32_t dilation_height, uint32_t dilation_width, uint32_t groups, |
| 81 | size_t group_input_channels, size_t group_output_channels, |
| 82 | uint32_t input_id, uint32_t filter_id, uint32_t bias_id, |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 83 | uint32_t output_id) |
| 84 | { |
| 85 | const xnn_status status = xnn_define_convolution_2d( |
| 86 | subgraph_.get(), input_padding_top, input_padding_right, |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 87 | input_padding_bottom, input_padding_left, kernel_height, kernel_width, |
| 88 | subsampling_height, subsampling_width, dilation_height, dilation_width, |
| 89 | groups, group_input_channels, group_output_channels, |
| 90 | -std::numeric_limits<float>::infinity(), |
| 91 | std::numeric_limits<float>::infinity(), input_id, filter_id, bias_id, |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 92 | output_id, 0 /* flags */); |
| 93 | EXPECT_EQ(status, xnn_status_success); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 94 | |
| 95 | return *this; |
| 96 | } |
| 97 | |
| 98 | inline SubgraphTester& add_depthwise_conv( |
| 99 | uint32_t input_padding_top, uint32_t input_padding_right, |
| 100 | uint32_t input_padding_bottom, uint32_t input_padding_left, |
| 101 | uint32_t kernel_height, uint32_t kernel_width, |
| 102 | uint32_t subsampling_height, uint32_t subsampling_width, |
| 103 | uint32_t dilation_height, uint32_t dilation_width, |
| 104 | uint32_t depth_multiplier, size_t input_channels, uint32_t input_id, |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 105 | uint32_t filter_id, uint32_t bias_id, uint32_t output_id) |
| 106 | { |
| 107 | const xnn_status status = xnn_define_depthwise_convolution_2d( |
| 108 | subgraph_.get(), input_padding_top, input_padding_right, |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 109 | input_padding_bottom, input_padding_left, kernel_height, kernel_width, |
| 110 | subsampling_height, subsampling_width, dilation_height, dilation_width, |
| 111 | depth_multiplier, input_channels, |
| 112 | -std::numeric_limits<float>::infinity(), |
| 113 | std::numeric_limits<float>::infinity(), input_id, filter_id, bias_id, |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 114 | output_id, 0 /* flags */); |
| 115 | EXPECT_EQ(status, xnn_status_success); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 116 | |
| 117 | return *this; |
| 118 | } |
| 119 | |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 120 | inline SubgraphTester& add_addition(uint32_t input_id1, uint32_t input_id2, uint32_t output_id) |
| 121 | { |
| 122 | const xnn_status status = |
| 123 | xnn_define_add2(subgraph_.get(), -std::numeric_limits<float>::infinity(), |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 124 | std::numeric_limits<float>::infinity(), input_id1, |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 125 | input_id2, output_id, 0 /* flags */); |
| 126 | EXPECT_EQ(status, xnn_status_success); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 127 | |
| 128 | return *this; |
| 129 | } |
| 130 | |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 131 | inline SubgraphTester& add_global_average_pooling(uint32_t input_id, uint32_t output_id) |
| 132 | { |
| 133 | const xnn_status status = xnn_define_global_average_pooling_2d( |
| 134 | subgraph_.get(), -std::numeric_limits<float>::infinity(), |
| 135 | std::numeric_limits<float>::infinity(), input_id, output_id, 0 /* flags */); |
| 136 | EXPECT_EQ(status, xnn_status_success); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 137 | |
| 138 | return *this; |
| 139 | } |
| 140 | |
| 141 | inline SubgraphTester& optimize() { |
Marat Dukhan | b36582b | 2020-12-08 11:16:28 -0800 | [diff] [blame] | 142 | const xnn_status status = xnn_subgraph_optimize(subgraph_.get(), 0 /* flags */); |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 143 | EXPECT_EQ(status, xnn_status_success); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 144 | |
| 145 | return *this; |
| 146 | } |
| 147 | |
| 148 | inline SubgraphTester& rewrite() { |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 149 | xnn_subgraph_rewrite_for_nchw(subgraph_.get()); |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 150 | |
| 151 | return *this; |
| 152 | } |
| 153 | |
Marat Dukhan | 54b2d54 | 2020-12-08 00:19:52 -0800 | [diff] [blame] | 154 | inline xnn_layout_type get_layout(uint32_t value_id) const { |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 155 | return subgraph_->values[value_id].layout; |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 156 | } |
| 157 | |
| 158 | private: |
Marat Dukhan | 54b2d54 | 2020-12-08 00:19:52 -0800 | [diff] [blame] | 159 | std::vector<std::vector<float>> static_data_; |
Marat Dukhan | c10585f | 2020-12-08 09:34:55 -0800 | [diff] [blame] | 160 | std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> subgraph_{nullptr, xnn_delete_subgraph}; |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 161 | std::mt19937 rng_; |
XNNPACK Team | ab8c4c8 | 2020-10-09 08:05:51 -0700 | [diff] [blame] | 162 | }; |