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ed327876f5
Generated by running the following from PyTorch root: ``` find . -regex ".*\.\(cpp\|h\|cu\|hpp\|cc\|cxx\)$" | grep -v "build/" | xargs -n 50 -P 4 perl -pi -e 's/c10::optional/std::optional/' ``` `c10::optional` is just an alias for `std::optional`. This removes usages of that alias in preparation for eliminating it entirely. Pull Request resolved: https://github.com/pytorch/pytorch/pull/126135 Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/albanD, https://github.com/aaronenyeshi
86 lines
3.1 KiB
C++
86 lines
3.1 KiB
C++
#include <gtest/gtest.h>
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#include <string>
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#include <c10/util/int128.h>
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#include <torch/csrc/lazy/core/hash.h>
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namespace torch {
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namespace lazy {
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template <typename T>
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void test_hash_repeatable_sensitive(const T& example_a, const T& example_b) {
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// repeatable
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EXPECT_EQ(Hash(example_a), Hash(example_a));
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EXPECT_EQ(MHash(example_a), MHash(example_a));
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EXPECT_EQ(MHash(example_a, example_a), MHash(example_a, example_a));
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// sensitive
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EXPECT_NE(Hash(example_a), Hash(example_b));
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EXPECT_NE(MHash(example_a), MHash(example_b));
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EXPECT_NE(MHash(example_a, example_a), MHash(example_a, example_b));
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}
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TEST(HashTest, Scalar) {
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GTEST_SKIP()
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<< "Broken test. See https://github.com/pytorch/pytorch/issues/99883";
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c10::Scalar a(0);
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c10::Scalar b(0);
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// simulate some garbage in the unused bits of the
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// the tagged union that is c10::Scalar, which is bigger
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// than the size of the int64_t we're currently using it with
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*((uint8_t*)&b) = 1;
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// actual 'value' of the Scalar as a 64 bit int shouldn't have changed
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EXPECT_EQ(a.toLong(), b.toLong());
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// and hash should ignore this garbage
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EXPECT_EQ(Hash(a), Hash(b));
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EXPECT_EQ(MHash(a), MHash(b));
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EXPECT_EQ(MHash(a, a), MHash(a, b));
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}
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TEST(HashTest, Sanity) {
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// String
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test_hash_repeatable_sensitive(
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std::string(
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"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut at suscipit purus."),
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std::string(
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"Lorem Jpsum dolor sit amet, consectetur adipiscing elit. Ut at suscipit purus."));
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// Number types
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test_hash_repeatable_sensitive(true, false);
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test_hash_repeatable_sensitive((int8_t)0xfa, (int8_t)0xfb);
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test_hash_repeatable_sensitive((int16_t)0xface, (int16_t)0xfade);
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test_hash_repeatable_sensitive((int32_t)0xfaceb000, (int32_t)0xfadeb000);
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test_hash_repeatable_sensitive((int64_t)0x1faceb000, (int64_t)0x1fadeb000);
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test_hash_repeatable_sensitive((uint8_t)0xfa, (uint8_t)0xfb);
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test_hash_repeatable_sensitive((uint16_t)0xface, (uint16_t)0xfade);
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test_hash_repeatable_sensitive((uint32_t)0xfaceb000, (uint32_t)0xfadeb000);
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test_hash_repeatable_sensitive((uint64_t)0x1faceb000, (uint64_t)0x1fadeb000);
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// c10 types
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test_hash_repeatable_sensitive(c10::ScalarType::Bool, c10::ScalarType::Byte);
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test_hash_repeatable_sensitive(c10::Scalar(1.334), c10::Scalar(1.335));
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test_hash_repeatable_sensitive(c10::Scalar(true), c10::Scalar(false));
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test_hash_repeatable_sensitive(c10::Scalar(12345), c10::Scalar(12354));
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// std::optional
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test_hash_repeatable_sensitive(
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std::optional<std::string>("I have value!"),
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std::optional<std::string>(c10::nullopt));
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// Containers
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auto a = std::vector<int32_t>({0, 1, 1, 2, 3, 5, 8});
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auto b = std::vector<int32_t>({1, 1, 2, 3, 5, 8, 12});
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test_hash_repeatable_sensitive(a, b);
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test_hash_repeatable_sensitive(
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c10::ArrayRef<int32_t>(a), c10::ArrayRef<int32_t>(b));
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// vector<bool> is a special case bc it is implemented as vector<bit>
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auto bool_a = std::vector<bool>({true, false, false, true});
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auto bool_b = std::vector<bool>({true, true, false, true});
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test_hash_repeatable_sensitive(bool_a, bool_b);
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}
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} // namespace lazy
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} // namespace torch
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