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6d21d5f0b3
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/45249 Reland of https://github.com/pytorch/pytorch/pull/45055 and https://github.com/pytorch/pytorch/pull/45020 See https://github.com/pytorch/pytorch/pull/45018 for context. Test Plan: Imported from OSS Reviewed By: jamesr66a Differential Revision: D23892645 Pulled By: suo fbshipit-source-id: e7fe58d5e1a5a0c44f4e2aec9694145afabde0fd
53 lines
1.6 KiB
C++
53 lines
1.6 KiB
C++
#include <gtest/gtest.h>
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#include <torch/csrc/jit/ir/irparser.h>
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#include <torch/csrc/jit/passes/dead_code_elimination.h>
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#include <torch/csrc/jit/testing/file_check.h>
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namespace torch {
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namespace jit {
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TEST(EliminateDeadCodeTest, Basic) {
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auto graph = std::make_shared<Graph>();
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// Consider the following loop:
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// for i in range(3):
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// tot += a[0][0]
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// b = a[0]
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// b[0] += 1
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// print(tot)
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// We want to check that b[0] and b are properly marked as live and thus not
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// DCE'd.
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const std::string input =
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R"IR(
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graph():
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%48 : None = prim::Constant()
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%50 : bool = prim::Constant[value=1]()
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%0 : int = prim::Constant[value=2]()
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%12 : int = prim::Constant[value=1]()
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%24 : int = prim::Constant[value=3]()
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%31 : int = prim::Constant[value=0]()
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%2 : int[] = prim::ListConstruct(%0, %0)
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%a.1 : Tensor = prim::MakeTestTensor()
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%14 : int[] = prim::ListConstruct(%12)
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%tot.1 : Tensor = prim::MakeTestTensor()
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%tot : Tensor = prim::Loop(%24, %50, %tot.1)
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block0(%i : int, %tot.6 : Tensor):
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%33 : Tensor = aten::select(%a.1, %31, %31)
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%35 : Tensor = aten::select(%33, %31, %31)
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# CHECK: add_
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%tot.3 : Tensor = aten::add_(%tot.6, %35, %12)
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%b.1 : Tensor = aten::select(%a.1, %31, %31)
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%44 : Tensor = aten::select(%b.1, %31, %31)
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# CHECK: add_
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%46 : Tensor = aten::add_(%44, %12, %12)
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-> (%50, %tot.3)
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return (%tot)
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)IR";
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parseIR(input, graph.get());
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EliminateDeadCode(graph);
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// Check that dead code elimin
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testing::FileCheck().run(input, *graph);
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}
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} // namespace jit
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} // namespace torch
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