1 // Copyright 2022 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 #include <stddef.h>
7 #include <stdint.h>
8
9 #include <array>
10 #include <memory>
11 #include <vector>
12
13 #include <xnnpack.h>
14 #include <xnnpack/node-type.h>
15 #include <xnnpack/operator.h>
16 #include <xnnpack/subgraph.h>
17
18 #include "subgraph-binary-tester.h"
19 #include <gtest/gtest.h>
20
21 using Maximum2TestF32 = BinaryTest<float>;
22
TEST_F(Maximum2TestF32,define)23 TEST_F(Maximum2TestF32, define) {
24 ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
25
26 xnn_subgraph_t subgraph = nullptr;
27 ASSERT_EQ(xnn_status_success, xnn_create_subgraph(3, /*flags=*/0, &subgraph));
28 std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph);
29
30 uint32_t input1_id = XNN_INVALID_NODE_ID;
31 ASSERT_EQ(
32 xnn_status_success, xnn_define_tensor_value(
33 subgraph, xnn_datatype_fp32, input1_dims.size(), input1_dims.data(), nullptr,
34 /*external_id=*/0, /*flags=*/0, &input1_id));
35 ASSERT_NE(input1_id, XNN_INVALID_NODE_ID);
36
37 uint32_t input2_id = XNN_INVALID_NODE_ID;
38 ASSERT_EQ(
39 xnn_status_success, xnn_define_tensor_value(
40 subgraph, xnn_datatype_fp32, input2_dims.size(), input2_dims.data(), nullptr,
41 /*external_id=*/0, /*flags=*/0, &input2_id));
42 ASSERT_NE(input2_id, XNN_INVALID_NODE_ID);
43
44 uint32_t output_id = XNN_INVALID_NODE_ID;
45 ASSERT_EQ(
46 xnn_status_success,
47 xnn_define_tensor_value(
48 subgraph, xnn_datatype_fp32, output_dims.size(), output_dims.data(), nullptr, XNN_INVALID_VALUE_ID, /*flags=*/0, &output_id));
49 ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
50
51 ASSERT_EQ(
52 xnn_status_success,
53 xnn_define_maximum2(subgraph, input1_id, input2_id, output_id, /*flags=*/0));
54
55 ASSERT_EQ(subgraph->num_nodes, 1);
56 const struct xnn_node* node = &subgraph->nodes[0];
57 ASSERT_EQ(node->type, xnn_node_type_maximum2);
58 ASSERT_EQ(node->compute_type, xnn_compute_type_fp32);
59 ASSERT_EQ(node->num_inputs, 2);
60 ASSERT_EQ(node->inputs[0], input1_id);
61 ASSERT_EQ(node->inputs[1], input2_id);
62 ASSERT_EQ(node->num_outputs, 1);
63 ASSERT_EQ(node->outputs[0], output_id);
64 ASSERT_EQ(node->flags, 0);
65 }
66
TEST_F(Maximum2TestF32,matches_operator_api)67 TEST_F(Maximum2TestF32, matches_operator_api)
68 {
69 ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
70
71 xnn_operator_t op = nullptr;
72
73 // Call operator API.
74 ASSERT_EQ(xnn_status_success, xnn_create_maximum_nd_f32(0, &op));
75 std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op(op, xnn_delete_operator);
76
77 ASSERT_EQ(
78 xnn_status_success, xnn_setup_maximum_nd_f32(
79 op, input1_dims.size(), input1_dims.data(), input2_dims.size(), input2_dims.data(),
80 input1.data(), input2.data(), operator_output.data(), nullptr /* thread pool */));
81
82 ASSERT_EQ(xnn_status_success, xnn_run_operator(op, nullptr /* thread pool */));
83
84 // Call subgraph API.
85 xnn_subgraph_t subgraph = nullptr;
86 ASSERT_EQ(xnn_status_success, xnn_create_subgraph(3, /*flags=*/0, &subgraph));
87 std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph);
88
89 uint32_t input1_id = XNN_INVALID_NODE_ID;
90 ASSERT_EQ(
91 xnn_status_success, xnn_define_tensor_value(
92 subgraph, xnn_datatype_fp32, input1_dims.size(), input1_dims.data(), nullptr,
93 /*external_id=*/0, /*flags=*/XNN_VALUE_FLAG_EXTERNAL_INPUT, &input1_id));
94 ASSERT_NE(input1_id, XNN_INVALID_NODE_ID);
95
96 uint32_t input2_id = XNN_INVALID_NODE_ID;
97 ASSERT_EQ(
98 xnn_status_success, xnn_define_tensor_value(
99 subgraph, xnn_datatype_fp32, input2_dims.size(), input2_dims.data(), nullptr,
100 /*external_id=*/1, /*flags=*/XNN_VALUE_FLAG_EXTERNAL_INPUT, &input2_id));
101 ASSERT_NE(input2_id, XNN_INVALID_NODE_ID);
102
103 uint32_t output_id = XNN_INVALID_NODE_ID;
104 ASSERT_EQ(
105 xnn_status_success,
106 xnn_define_tensor_value(
107 subgraph, xnn_datatype_fp32, output_dims.size(), output_dims.data(), nullptr, /*external_id=*/2,
108 /*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
109 ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
110
111 ASSERT_EQ(
112 xnn_status_success,
113 xnn_define_maximum2(subgraph, input1_id, input2_id, output_id, /*flags=*/0));
114
115 xnn_runtime_t runtime = nullptr;
116 ASSERT_EQ(xnn_status_success, xnn_create_runtime_v3(subgraph, nullptr, nullptr, /*flags=*/0, &runtime));
117 ASSERT_NE(nullptr, runtime);
118 std::unique_ptr<xnn_runtime, decltype(&xnn_delete_runtime)> auto_runtime(runtime, xnn_delete_runtime);
119 std::array<xnn_external_value, 3> external = {
120 xnn_external_value{input1_id, input1.data()}, xnn_external_value{input2_id, input2.data()},
121 xnn_external_value{output_id, subgraph_output.data()}};
122 ASSERT_EQ(xnn_status_success, xnn_setup_runtime(runtime, external.size(), external.data()));
123 ASSERT_EQ(xnn_status_success, xnn_invoke_runtime(runtime));
124
125 ASSERT_EQ(subgraph_output, operator_output);
126 }
127