File: test_op_replacement.cpp

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (145 lines) | stat: -rw-r--r-- 5,884 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
#include <gtest/gtest.h>

#include <test/cpp/jit/test_utils.h>
#include <torch/csrc/jit/operator_upgraders/upgraders.h>
#include <torch/csrc/jit/operator_upgraders/version_map.h>
#include <torch/csrc/jit/passes/replacement_of_old_operators.h>
#include <memory>

namespace torch {
namespace jit {

std::unordered_map<std::string, std::string> test_upgraders(
    {{"_test_serialization_subcmul_0_2", R"IR(graph(%self.1 : Tensor,
                                                    %other.1 : Tensor,
                                                    %alpha.1 : Union(float, int)):
                                                %7 : int = prim::Constant[value=1]()
                                                %6 : Tensor = aten::mul(%self.1, %alpha.1) # torch/jit/operator_upgraders.py:18:20
                                                %8 : Tensor = aten::sub(%other.1, %6, %7) # torch/jit/operator_upgraders.py:18:11
                                                return (%8))IR"},
     {"div_Tensor_0_3", R"IR(graph(%self.1 : Tensor,
                                  %other.1 : Tensor):
                            %32 : str = prim::Constant[value="trunc"]()
                            %6 : bool = prim::Constant[value=1]()
                            %4 : bool = aten::is_floating_point(%self.1)
                            %11 : bool = prim::If(%4)
                                block0():
                                    -> (%6)
                                block1():
                                    %9 : bool = aten::is_floating_point(%other.1)
                                    -> (%9)
                            %35 : Tensor = prim::If(%11)
                                block0():
                                    %36 : Tensor = aten::div(%self.1, %other.1)
                                    -> (%36)
                                block1():
                                    %37 : Tensor = aten::div(%self.1, %other.1, %32)
                                    -> (%37)
                            return (%35))IR"}});

TEST(OpReplacementTest, ReplaceDivInSimpleFunction) {
  const auto graph_string = R"IR(
        graph(%0 : Tensor,
              %1 : Tensor):
            %2 : Tensor = aten::add(%0, %1)
            %3 : Tensor  = aten::div(%2, %1)
            return (%3))IR";
  auto g = std::make_shared<Graph>();
  test_only_populate_upgraders(test_upgraders);
  torch::jit::parseIR(graph_string, g.get());
  g->set_op_version(2);
  ReplaceOldOperatorsWithUpgraders(g);
  testing::FileCheck()
      .check("prim::If")
      ->check_count("aten::div(%2, %1)", 1, /*exactly=*/true)
      ->check_count("aten::div(%2, %1, %4)", 1, /*exactly=*/true)
      ->run(*g);
}

TEST(OpReplacementTest, ReplaceTwoOpsInSimpleFunction) {
  const auto graph_string = R"IR(
        graph(%0 : Tensor,
              %1 : Tensor):
            %2 : Tensor = aten::add(%0, %1)
            %3 : Tensor  = aten::div(%2, %1)
            %4 : int = prim::Constant[value=1]()
            %5: Tensor = aten::_test_serialization_subcmul(%0, %1, %4)
            return (%3, %5))IR";
  auto g = std::make_shared<Graph>();
  test_only_populate_upgraders(test_upgraders);
  UpgraderEntry test_entry{
      3,
      "_test_serialization_subcmul_0_2",
      "aten::_test_serialization_subcmul(Tensor self, Tensor other, Scalar alpha=2) -> Tensor"};
  test_only_add_entry("aten::_test_serialization_subcmul", test_entry);
  torch::jit::parseIR(graph_string, g.get());
  g->set_op_version(2);
  ReplaceOldOperatorsWithUpgraders(g);
  testing::FileCheck()
      .check("prim::If")
      ->check_count("aten::div", 2, /*exactly=*/true)
      ->run(*g);
  test_only_remove_entry("aten::_test_serialization_subcmul");
  test_only_remove_upgraders(test_upgraders);
}

TEST(OpReplacementTest, ReplaceDivInNestedFunction) {
  const auto graph_string = R"IR(
        graph(%0 : Tensor,
              %1 : Tensor,
              %8 : bool):
            %9 : bool = prim::Constant[value=1]()
            %7 : bool = prim::If(%8)
                block0():
                    -> (%9)
                block1():
                    %2 : Tensor = aten::add(%0, %1)
                    %3 : Tensor  = aten::div(%2, %1)
                    %4 : Tensor = aten::add(%3, %0)
                    %10 : bool = aten::is_floating_point(%4)
                    -> (%10)
            return (%7))IR";
  auto g = std::make_shared<Graph>();
  test_only_populate_upgraders(test_upgraders);
  torch::jit::parseIR(graph_string, g.get());
  g->set_op_version(2);
  ReplaceOldOperatorsWithUpgraders(g);
  testing::FileCheck()
      .check("prim::If")
      ->check_count("aten::add", 2, false)
      ->run(*g);

  testing::FileCheck()
      .check("prim::If")
      ->check_count("aten::div", 2, false)
      ->run(*g);
  test_only_remove_upgraders(test_upgraders);
}

TEST(OpReplacementTest, ReplaceTestSubcmulInSimpleFunction) {
  const auto graph_string = R"IR(
        graph(%0 : Tensor,
              %1 : Tensor):
            %3 : int = prim::Constant[value=1]()
            %2 : Tensor = aten::_test_serialization_subcmul(%0, %1, %3)
            return (%2))IR";
  auto g = std::make_shared<Graph>();
  test_only_populate_upgraders(test_upgraders);
  UpgraderEntry test_entry{
      3,
      "_test_serialization_subcmul_0_2",
      "aten::_test_serialization_subcmul(Tensor self, Tensor other, Scalar alpha=2) -> Tensor"};
  test_only_add_entry("aten::_test_serialization_subcmul", test_entry);
  torch::jit::parseIR(graph_string, g.get());
  g->set_op_version(2);
  ReplaceOldOperatorsWithUpgraders(g);
  testing::FileCheck().check_count("aten::mul", 1, false)->run(*g);

  testing::FileCheck().check_count("aten::sub", 1, false)->run(*g);

  test_only_remove_upgraders(test_upgraders);
  test_only_remove_entry("aten::_test_serialization_subcmul");
}

} // namespace jit
} // namespace torch