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Test Plan: Sandcastle Differential Revision: D66939979 Pull Request resolved: https://github.com/pytorch/pytorch/pull/142383 Approved by: https://github.com/malfet
38 lines
1.0 KiB
C++
38 lines
1.0 KiB
C++
#include <gtest/gtest.h>
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#include <torch/csrc/jit/frontend/parser.h>
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#include <torch/csrc/jit/frontend/resolver.h>
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namespace torch {
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namespace jit {
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constexpr std::string_view testSource = R"JIT(
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class FooTest:
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def __init__(self, x):
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self.x = x
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def get_x(self):
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return self.x
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an_attribute : Tensor
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)JIT";
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TEST(ClassParserTest, Basic) {
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Parser p(std::make_shared<Source>(testSource));
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std::vector<Def> definitions;
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std::vector<Resolver> resolvers;
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const auto classDef = ClassDef(p.parseClass());
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p.lexer().expect(TK_EOF);
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ASSERT_EQ(classDef.name().name(), "FooTest");
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ASSERT_EQ(classDef.body().size(), 3);
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ASSERT_EQ(Def(classDef.body()[0]).name().name(), "__init__");
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ASSERT_EQ(Def(classDef.body()[1]).name().name(), "get_x");
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ASSERT_EQ(
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Var(Assign(classDef.body()[2]).lhs()).name().name(), "an_attribute");
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ASSERT_FALSE(Assign(classDef.body()[2]).rhs().present());
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ASSERT_TRUE(Assign(classDef.body()[2]).type().present());
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}
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} // namespace jit
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} // namespace torch
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