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https://github.com/zebrajr/pytorch.git
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cbfce376a8
Reviewed By: zertosh Differential Revision: D28319469 fbshipit-source-id: 8295597a8ee16b2fef3f7aacdd6c892cb22db988
61 lines
1.7 KiB
C++
61 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), new IntImm(50), 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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