xref: /aosp_15_r20/external/pytorch/test/cpp/tensorexpr/test_ir_printer.cpp (revision da0073e96a02ea20f0ac840b70461e3646d07c45)
1 #include <gtest/gtest.h>
2 
3 #include <stdexcept>
4 #include "test/cpp/tensorexpr/test_base.h"
5 
6 #include <torch/csrc/jit/tensorexpr/expr.h>
7 #include <torch/csrc/jit/tensorexpr/ir.h>
8 #include <torch/csrc/jit/tensorexpr/ir_printer.h>
9 #include <torch/csrc/jit/tensorexpr/loopnest.h>
10 #include <torch/csrc/jit/tensorexpr/tensor.h>
11 #include <torch/csrc/jit/testing/file_check.h>
12 
13 #include <sstream>
14 namespace torch {
15 namespace jit {
16 
17 using namespace torch::jit::tensorexpr;
18 
TEST(IRPrinter,BasicValueTest)19 TEST(IRPrinter, BasicValueTest) {
20   ExprHandle a = IntImm::make(2), b = IntImm::make(3);
21   ExprHandle c = Add::make(a, b);
22 
23   std::stringstream ss;
24   ss << c;
25   ASSERT_EQ(ss.str(), "2 + 3");
26 }
27 
TEST(IRPrinter,BasicValueTest02)28 TEST(IRPrinter, BasicValueTest02) {
29   ExprHandle a(2.0f);
30   ExprHandle b(3.0f);
31   ExprHandle c(4.0f);
32   ExprHandle d(5.0f);
33   ExprHandle f = (a + b) - (c + d);
34 
35   std::stringstream ss;
36   ss << f;
37   ASSERT_EQ(ss.str(), "(2.f + 3.f) - (4.f + 5.f)");
38 }
39 
TEST(IRPrinter,CastTest)40 TEST(IRPrinter, CastTest) {
41   VarHandle x("x", kHalf);
42   VarHandle y("y", kFloat);
43   ExprHandle body = ExprHandle(2.f) +
44       (Cast::make(kFloat, x) * ExprHandle(3.f) + ExprHandle(4.f) * y);
45 
46   std::stringstream ss;
47   ss << body;
48   ASSERT_EQ(ss.str(), "2.f + (float(x) * 3.f + 4.f * y)");
49 }
50 
TEST(IRPrinter,FunctionName)51 TEST(IRPrinter, FunctionName) {
52   int M = 4;
53   int N = 20;
54 
55   Tensor producer = Compute(
56       "producer", {M, N}, [&](const ExprHandle& m, const ExprHandle& n) {
57         return m * n;
58       });
59 
60   Tensor chunk_0 = Compute(
61       "chunk_0", {M, N / 2}, [&](const ExprHandle& m, const ExprHandle& n) {
62         return producer.load(m, n);
63       });
64 
65   Tensor chunk_1 = Compute(
66       "chunk_1", {M, N / 2}, [&](const ExprHandle& m, const ExprHandle& n) {
67         return producer.load(m, n + ExprHandle(N / 2));
68       });
69 
70   Tensor consumer = Compute(
71       "consumer", {M, N / 2}, [&](const ExprHandle& i, const ExprHandle& j) {
72         return i * chunk_1.load(i, j);
73       });
74 
75   LoopNest l({chunk_0, chunk_1, consumer});
76   auto body = LoopNest::sanitizeNames(l.root_stmt());
77 
78   std::stringstream ss;
79   ss << *body;
80 
81   const std::string& verification_pattern =
82       R"IR(
83  # CHECK:   for (int i_2
84  # CHECK:    for (int j_2
85  # CHECK:     consumer[i_2, j_2] = i_2 * (chunk_1[i_2, j_2])IR";
86 
87   torch::jit::testing::FileCheck().run(verification_pattern, ss.str());
88 }
89 } // namespace jit
90 } // namespace torch
91