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