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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/65967 Graph is an implementation detail. If user wants to get access to the underlying graph, they should be able to explicitly dynamic cast instead. ghstack-source-id: 141659819 Test Plan: no behavior change. Reviewed By: gmagogsfm Differential Revision: D31326153 fbshipit-source-id: a0e984f57c6013494b92a7095bf5bb660035eb84
52 lines
1.0 KiB
C++
52 lines
1.0 KiB
C++
#include <gtest/gtest.h>
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#include <torch/csrc/jit/api/compilation_unit.h>
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#include <torch/csrc/jit/api/module.h>
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#include <torch/csrc/jit/passes/inliner.h>
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#include <torch/csrc/jit/testing/file_check.h>
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const auto testSource = R"JIT(
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def foo1(x):
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print("one")
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return x
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def foo2(x):
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print("two")
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return foo1(x)
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def foo3(x):
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print("three")
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return foo2(x)
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)JIT";
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namespace torch {
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namespace jit {
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using namespace testing;
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struct InlinerGuard {
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explicit InlinerGuard(bool shouldInline)
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: oldState_(getInlineEverythingMode()) {
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getInlineEverythingMode() = shouldInline;
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}
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~InlinerGuard() {
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getInlineEverythingMode() = oldState_;
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}
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bool oldState_;
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};
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TEST(InlinerTest, Basic) {
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// disable automatic inlining so we can test it manually
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InlinerGuard guard(/*shouldInline=*/false);
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CompilationUnit cu(testSource);
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auto& fn = cu.get_function("foo3");
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auto g = toGraphFunction(fn).graph();
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Inline(*g);
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FileCheck().check_count("prim::Print", 3)->run(*g);
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}
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} // namespace jit
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} // namespace torch
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