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f0d274294d
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/63587 Now that there is no classes using KernelArena for memory management we can remove it. Differential Revision: D30429115 D30429115 Test Plan: Imported from OSS Reviewed By: navahgar Pulled By: ZolotukhinM fbshipit-source-id: 375f6f9294d27790645eeb7cb5a8e87047a57544
56 lines
1.5 KiB
C++
56 lines
1.5 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/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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TEST(CppPrinter, AllocateOnStackThenFree) {
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std::vector<ExprPtr> dims = {alloc<IntImm>(2), alloc<IntImm>(3)};
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BufPtr buf = alloc<Buf>("x", dims, kInt);
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AllocatePtr alloc_ = alloc<Allocate>(buf);
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FreePtr free_ = alloc<Free>(buf);
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BlockPtr 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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TEST(CppPrinter, AllocateOnHeapThenFree) {
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std::vector<ExprPtr> dims = {
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alloc<IntImm>(20), alloc<IntImm>(50), alloc<IntImm>(3)};
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BufPtr buf = alloc<Buf>("y", dims, kLong);
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AllocatePtr alloc_ = alloc<Allocate>(buf);
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FreePtr free_ = alloc<Free>(buf);
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BlockPtr 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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