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3a66a1cb99
Summary: Add cppcoreguidelines-avoid-magic-numbers exclusion to clang-tidy Remove existing nolint warnings using following script: ``` for file in `git ls-files | grep -v \.py`; do gsed '/^ *\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)/d' -i $file; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/57841 Reviewed By: samestep Differential Revision: D28295045 Pulled By: malfet fbshipit-source-id: 7c6e8d1213c9593f169ed3df6a916498f1a97163
63 lines
1.7 KiB
C++
63 lines
1.7 KiB
C++
#include <gtest/gtest.h>
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#include <test/cpp/tensorexpr/test_base.h>
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#include <torch/csrc/jit/tensorexpr/cpp_codegen.h>
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#include <torch/csrc/jit/tensorexpr/mem_arena.h>
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#include <torch/csrc/jit/tensorexpr/stmt.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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using namespace torch::jit::tensorexpr;
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(CppPrinter, AllocateOnStackThenFree) {
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KernelScope kernel_scope;
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std::vector<const Expr*> dims = {new IntImm(2), new IntImm(3)};
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const Buf* buf = new Buf("x", dims, kInt);
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Allocate* alloc = new Allocate(buf);
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Free* free = new Free(buf);
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Block* block = Block::make({alloc, free});
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std::stringstream ss;
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CppPrinter printer(&ss);
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printer.visit(block);
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const std::string expected = R"(
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# CHECK: {
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# CHECK: int x[6];
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# CHECK: }
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)";
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torch::jit::testing::FileCheck().run(expected, ss.str());
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(CppPrinter, AllocateOnHeapThenFree) {
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KernelScope kernel_scope;
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std::vector<const Expr*> dims = {
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new IntImm(20),
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new IntImm(50),
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new IntImm(3)};
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const Buf* buf = new Buf("y", dims, kLong);
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Allocate* alloc = new Allocate(buf);
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Free* free = new Free(buf);
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Block* block = Block::make({alloc, free});
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std::stringstream ss;
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CppPrinter printer(&ss);
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printer.visit(block);
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// size(long) = 8;
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// dim0 * dim1 * dim2 * size(long) = 24000.
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const std::string expected = R"(
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# CHECK: {
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# CHECK: int64_t* y = static_cast<int64_t*>(malloc(24000));
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# CHECK: free(y);
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# CHECK: }
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)";
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torch::jit::testing::FileCheck().run(expected, ss.str());
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}
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} // namespace jit
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} // namespace torch
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