llvm-project/mlir/unittests/TableGen/StructsGenTest.cpp

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//===- StructsGenTest.cpp - TableGen StructsGen Tests ---------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "mlir/IR/Attributes.h"
#include "mlir/IR/Identifier.h"
#include "mlir/IR/StandardTypes.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/StringSwitch.h"
#include "gmock/gmock.h"
#include <type_traits>
namespace mlir {
/// Pull in generated enum utility declarations and definitions.
#include "StructAttrGenTest.h.inc"
#include "StructAttrGenTest.cpp.inc"
/// Helper that returns an example test::TestStruct for testing its
/// implementation.
static test::TestStruct getTestStruct(mlir::MLIRContext *context) {
auto integerType = mlir::IntegerType::get(32, context);
auto integerAttr = mlir::IntegerAttr::get(integerType, 127);
auto floatType = mlir::FloatType::getF32(context);
auto floatAttr = mlir::FloatAttr::get(floatType, 0.25);
auto elementsType = mlir::RankedTensorType::get({2, 3}, integerType);
auto elementsAttr =
mlir::DenseIntElementsAttr::get(elementsType, {1, 2, 3, 4, 5, 6});
auto optionalAttr = nullptr;
return test::TestStruct::get(integerAttr, floatAttr, elementsAttr,
optionalAttr, context);
}
/// Validates that test::TestStruct::classof correctly identifies a valid
/// test::TestStruct.
TEST(StructsGenTest, ClassofTrue) {
mlir::MLIRContext context;
auto structAttr = getTestStruct(&context);
ASSERT_TRUE(test::TestStruct::classof(structAttr));
}
/// Validates that test::TestStruct::classof fails when an extra attribute is in
/// the class.
TEST(StructsGenTest, ClassofExtraFalse) {
mlir::MLIRContext context;
mlir::DictionaryAttr structAttr = getTestStruct(&context);
auto expectedValues = structAttr.getValue();
ASSERT_EQ(expectedValues.size(), 3u);
// Copy the set of named attributes.
llvm::SmallVector<mlir::NamedAttribute, 5> newValues(expectedValues.begin(),
expectedValues.end());
// Add an extra NamedAttribute.
auto wrongId = mlir::Identifier::get("wrong", &context);
auto wrongAttr = mlir::NamedAttribute(wrongId, expectedValues[0].second);
newValues.push_back(wrongAttr);
// Make a new DictionaryAttr and validate.
auto badDictionary = mlir::DictionaryAttr::get(newValues, &context);
ASSERT_FALSE(test::TestStruct::classof(badDictionary));
}
/// Validates that test::TestStruct::classof fails when a NamedAttribute has an
/// incorrect name.
TEST(StructsGenTest, ClassofBadNameFalse) {
mlir::MLIRContext context;
mlir::DictionaryAttr structAttr = getTestStruct(&context);
auto expectedValues = structAttr.getValue();
ASSERT_EQ(expectedValues.size(), 3u);
// Create a copy of all but the first NamedAttributes.
llvm::SmallVector<mlir::NamedAttribute, 4> newValues(
expectedValues.begin() + 1, expectedValues.end());
// Add a copy of the first attribute with the wrong Identifier.
auto wrongId = mlir::Identifier::get("wrong", &context);
auto wrongAttr = mlir::NamedAttribute(wrongId, expectedValues[0].second);
newValues.push_back(wrongAttr);
auto badDictionary = mlir::DictionaryAttr::get(newValues, &context);
ASSERT_FALSE(test::TestStruct::classof(badDictionary));
}
/// Validates that test::TestStruct::classof fails when a NamedAttribute has an
/// incorrect type.
TEST(StructsGenTest, ClassofBadTypeFalse) {
mlir::MLIRContext context;
mlir::DictionaryAttr structAttr = getTestStruct(&context);
auto expectedValues = structAttr.getValue();
ASSERT_EQ(expectedValues.size(), 3u);
// Create a copy of all but the last NamedAttributes.
llvm::SmallVector<mlir::NamedAttribute, 4> newValues(
expectedValues.begin(), expectedValues.end() - 1);
// Add a copy of the last attribute with the wrong type.
auto i64Type = mlir::IntegerType::get(64, &context);
auto elementsType = mlir::RankedTensorType::get({3}, i64Type);
auto elementsAttr =
mlir::DenseIntElementsAttr::get(elementsType, ArrayRef<int64_t>{1, 2, 3});
mlir::Identifier id = expectedValues.back().first;
auto wrongAttr = mlir::NamedAttribute(id, elementsAttr);
newValues.push_back(wrongAttr);
auto badDictionary = mlir::DictionaryAttr::get(newValues, &context);
ASSERT_FALSE(test::TestStruct::classof(badDictionary));
}
/// Validates that test::TestStruct::classof fails when a NamedAttribute is
/// missing.
TEST(StructsGenTest, ClassofMissingFalse) {
mlir::MLIRContext context;
mlir::DictionaryAttr structAttr = getTestStruct(&context);
auto expectedValues = structAttr.getValue();
ASSERT_EQ(expectedValues.size(), 3u);
// Copy a subset of the structures Named Attributes.
llvm::SmallVector<mlir::NamedAttribute, 3> newValues(
expectedValues.begin() + 1, expectedValues.end());
// Make a new DictionaryAttr and validate it is not a validate TestStruct.
auto badDictionary = mlir::DictionaryAttr::get(newValues, &context);
ASSERT_FALSE(test::TestStruct::classof(badDictionary));
}
/// Validate the accessor for the FloatAttr value.
TEST(StructsGenTest, GetFloat) {
mlir::MLIRContext context;
auto structAttr = getTestStruct(&context);
auto returnedAttr = structAttr.sample_float();
EXPECT_EQ(returnedAttr.getValueAsDouble(), 0.25);
}
/// Validate the accessor for the IntegerAttr value.
TEST(StructsGenTest, GetInteger) {
mlir::MLIRContext context;
auto structAttr = getTestStruct(&context);
auto returnedAttr = structAttr.sample_integer();
EXPECT_EQ(returnedAttr.getInt(), 127);
}
/// Validate the accessor for the ElementsAttr value.
TEST(StructsGenTest, GetElements) {
mlir::MLIRContext context;
auto structAttr = getTestStruct(&context);
auto returnedAttr = structAttr.sample_elements();
auto denseAttr = returnedAttr.dyn_cast<mlir::DenseElementsAttr>();
ASSERT_TRUE(denseAttr);
for (const auto &valIndexIt : llvm::enumerate(denseAttr.getIntValues())) {
EXPECT_EQ(valIndexIt.value(), valIndexIt.index() + 1);
}
}
TEST(StructsGenTest, EmptyOptional) {
mlir::MLIRContext context;
auto structAttr = getTestStruct(&context);
EXPECT_EQ(structAttr.sample_optional_integer(), nullptr);
}
} // namespace mlir