pytorch/test/cpp/jit/test_dce.cpp
Meghan Lele 5eacdfb21f Revert D20127441: [pytorch][PR] [JIT] Introduce a fake Tensor creation node for IR unit tests
Test Plan: revert-hammer

Differential Revision:
D20127441

Original commit changeset: 56da4f23ac46

fbshipit-source-id: 7d4602e5011bec6f6871eab16af05a3198694e5d
2020-02-27 13:48:31 -08:00

55 lines
1.7 KiB
C++

#include <test/cpp/jit/test_base.h>
#include <test/cpp/jit/test_utils.h>
#include <torch/csrc/jit/passes/dead_code_elimination.h>
#include <torch/csrc/jit/testing/file_check.h>
namespace torch {
namespace jit {
void testDCE() {
auto graph = std::make_shared<Graph>();
// Consider the following loop:
// for i in range(3):
// tot += a[0][0]
// b = a[0]
// b[0] += 1
// print(tot)
// We want to check that b[0] and b are properly marked as live and thus not
// DCE'd.
const std::string input =
R"IR(
graph():
%48 : None = prim::Constant()
%50 : bool = prim::Constant[value=1]()
%10 : bool? = prim::Constant()
%8 : Device? = prim::Constant()
%4 : int? = prim::Constant()
%0 : int = prim::Constant[value=2]()
%12 : int = prim::Constant[value=1]()
%24 : int = prim::Constant[value=3]()
%31 : int = prim::Constant[value=0]()
%2 : int[] = prim::ListConstruct(%0, %0)
%a.1 : Tensor = aten::ones(%2, %4, %4, %8, %10)
%14 : int[] = prim::ListConstruct(%12)
%tot.1 : Tensor = aten::zeros(%14, %4, %4, %8, %10)
%tot : Tensor = prim::Loop(%24, %50, %tot.1)
block0(%i : int, %tot.6 : Tensor):
%33 : Tensor = aten::select(%a.1, %31, %31)
%35 : Tensor = aten::select(%33, %31, %31)
# CHECK: add_
%tot.3 : Tensor = aten::add_(%tot.6, %35, %12)
%b.1 : Tensor = aten::select(%a.1, %31, %31)
%44 : Tensor = aten::select(%b.1, %31, %31)
# CHECK: add_
%46 : Tensor = aten::add_(%44, %12, %12)
-> (%50, %tot.3)
return (%tot)
)IR";
script::parseIR(input, graph.get());
EliminateDeadCode(graph);
// Check that dead code elimin
testing::FileCheck().run(input, *graph);
}
} // namespace jit
} // namespace torch