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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/22632 Test Plan: Imported from OSS Differential Revision: D16184469 Pulled By: suo fbshipit-source-id: b7cc2d20a7dd8b287e1b6128ddb70d3936032a7e
58 lines
1.7 KiB
C++
58 lines
1.7 KiB
C++
#pragma once
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#include <test/cpp/jit/test_base.h>
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#include <test/cpp/jit/test_utils.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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void testDCE() {
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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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%10 : bool? = prim::Constant()
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%8 : Device? = prim::Constant()
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%4 : int? = prim::Constant()
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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 = aten::ones(%2, %4, %4, %8, %10)
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%14 : int[] = prim::ListConstruct(%12)
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%tot.1 : Tensor = aten::zeros(%14, %4, %4, %8, %10)
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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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script::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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