
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects are only loaded explicitly on demand: - the Parser is lazily loading Dialects in the context as it encounters them during parsing. This is the only purpose for registering dialects and not load them in the context. - Passes are expected to declare the dialects they will create entity from (Operations, Attributes, or Types), and the PassManager is loading Dialects into the Context when starting a pipeline. This changes simplifies the configuration of the registration: a compiler only need to load the dialect for the IR it will emit, and the optimizer is self-contained and load the required Dialects. For example in the Toy tutorial, the compiler only needs to load the Toy dialect in the Context, all the others (linalg, affine, std, LLVM, ...) are automatically loaded depending on the optimization pipeline enabled.
171 lines
6.3 KiB
C++
171 lines
6.3 KiB
C++
//===- StructsGenTest.cpp - TableGen StructsGen Tests ---------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/Identifier.h"
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#include "mlir/IR/StandardTypes.h"
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#include "llvm/ADT/DenseMap.h"
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#include "llvm/ADT/Optional.h"
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#include "llvm/ADT/StringSwitch.h"
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#include "gmock/gmock.h"
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#include <type_traits>
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namespace mlir {
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/// Pull in generated enum utility declarations and definitions.
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#include "StructAttrGenTest.h.inc"
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#include "StructAttrGenTest.cpp.inc"
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/// Helper that returns an example test::TestStruct for testing its
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/// implementation.
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static test::TestStruct getTestStruct(mlir::MLIRContext *context) {
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auto integerType = mlir::IntegerType::get(32, context);
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auto integerAttr = mlir::IntegerAttr::get(integerType, 127);
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auto floatType = mlir::FloatType::getF32(context);
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auto floatAttr = mlir::FloatAttr::get(floatType, 0.25);
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auto elementsType = mlir::RankedTensorType::get({2, 3}, integerType);
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auto elementsAttr =
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mlir::DenseIntElementsAttr::get(elementsType, {1, 2, 3, 4, 5, 6});
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auto optionalAttr = nullptr;
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return test::TestStruct::get(integerAttr, floatAttr, elementsAttr,
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optionalAttr, context);
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}
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/// Validates that test::TestStruct::classof correctly identifies a valid
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/// test::TestStruct.
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TEST(StructsGenTest, ClassofTrue) {
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mlir::MLIRContext context(false);
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auto structAttr = getTestStruct(&context);
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ASSERT_TRUE(test::TestStruct::classof(structAttr));
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}
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/// Validates that test::TestStruct::classof fails when an extra attribute is in
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/// the class.
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TEST(StructsGenTest, ClassofExtraFalse) {
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mlir::MLIRContext context;
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mlir::DictionaryAttr structAttr = getTestStruct(&context);
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auto expectedValues = structAttr.getValue();
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ASSERT_EQ(expectedValues.size(), 3u);
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// Copy the set of named attributes.
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llvm::SmallVector<mlir::NamedAttribute, 5> newValues(expectedValues.begin(),
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expectedValues.end());
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// Add an extra NamedAttribute.
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auto wrongId = mlir::Identifier::get("wrong", &context);
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auto wrongAttr = mlir::NamedAttribute(wrongId, expectedValues[0].second);
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newValues.push_back(wrongAttr);
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// Make a new DictionaryAttr and validate.
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auto badDictionary = mlir::DictionaryAttr::get(newValues, &context);
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ASSERT_FALSE(test::TestStruct::classof(badDictionary));
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}
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/// Validates that test::TestStruct::classof fails when a NamedAttribute has an
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/// incorrect name.
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TEST(StructsGenTest, ClassofBadNameFalse) {
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mlir::MLIRContext context;
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mlir::DictionaryAttr structAttr = getTestStruct(&context);
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auto expectedValues = structAttr.getValue();
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ASSERT_EQ(expectedValues.size(), 3u);
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// Create a copy of all but the first NamedAttributes.
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llvm::SmallVector<mlir::NamedAttribute, 4> newValues(
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expectedValues.begin() + 1, expectedValues.end());
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// Add a copy of the first attribute with the wrong Identifier.
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auto wrongId = mlir::Identifier::get("wrong", &context);
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auto wrongAttr = mlir::NamedAttribute(wrongId, expectedValues[0].second);
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newValues.push_back(wrongAttr);
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auto badDictionary = mlir::DictionaryAttr::get(newValues, &context);
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ASSERT_FALSE(test::TestStruct::classof(badDictionary));
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}
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/// Validates that test::TestStruct::classof fails when a NamedAttribute has an
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/// incorrect type.
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TEST(StructsGenTest, ClassofBadTypeFalse) {
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mlir::MLIRContext context;
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mlir::DictionaryAttr structAttr = getTestStruct(&context);
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auto expectedValues = structAttr.getValue();
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ASSERT_EQ(expectedValues.size(), 3u);
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// Create a copy of all but the last NamedAttributes.
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llvm::SmallVector<mlir::NamedAttribute, 4> newValues(
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expectedValues.begin(), expectedValues.end() - 1);
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// Add a copy of the last attribute with the wrong type.
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auto i64Type = mlir::IntegerType::get(64, &context);
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auto elementsType = mlir::RankedTensorType::get({3}, i64Type);
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auto elementsAttr =
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mlir::DenseIntElementsAttr::get(elementsType, ArrayRef<int64_t>{1, 2, 3});
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mlir::Identifier id = expectedValues.back().first;
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auto wrongAttr = mlir::NamedAttribute(id, elementsAttr);
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newValues.push_back(wrongAttr);
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auto badDictionary = mlir::DictionaryAttr::get(newValues, &context);
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ASSERT_FALSE(test::TestStruct::classof(badDictionary));
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}
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/// Validates that test::TestStruct::classof fails when a NamedAttribute is
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/// missing.
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TEST(StructsGenTest, ClassofMissingFalse) {
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mlir::MLIRContext context;
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mlir::DictionaryAttr structAttr = getTestStruct(&context);
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auto expectedValues = structAttr.getValue();
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ASSERT_EQ(expectedValues.size(), 3u);
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// Copy a subset of the structures Named Attributes.
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llvm::SmallVector<mlir::NamedAttribute, 3> newValues(
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expectedValues.begin() + 1, expectedValues.end());
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// Make a new DictionaryAttr and validate it is not a validate TestStruct.
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auto badDictionary = mlir::DictionaryAttr::get(newValues, &context);
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ASSERT_FALSE(test::TestStruct::classof(badDictionary));
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}
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/// Validate the accessor for the FloatAttr value.
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TEST(StructsGenTest, GetFloat) {
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mlir::MLIRContext context;
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auto structAttr = getTestStruct(&context);
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auto returnedAttr = structAttr.sample_float();
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EXPECT_EQ(returnedAttr.getValueAsDouble(), 0.25);
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}
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/// Validate the accessor for the IntegerAttr value.
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TEST(StructsGenTest, GetInteger) {
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mlir::MLIRContext context;
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auto structAttr = getTestStruct(&context);
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auto returnedAttr = structAttr.sample_integer();
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EXPECT_EQ(returnedAttr.getInt(), 127);
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}
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/// Validate the accessor for the ElementsAttr value.
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TEST(StructsGenTest, GetElements) {
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mlir::MLIRContext context;
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auto structAttr = getTestStruct(&context);
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auto returnedAttr = structAttr.sample_elements();
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auto denseAttr = returnedAttr.dyn_cast<mlir::DenseElementsAttr>();
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ASSERT_TRUE(denseAttr);
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for (const auto &valIndexIt : llvm::enumerate(denseAttr.getIntValues())) {
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EXPECT_EQ(valIndexIt.value(), valIndexIt.index() + 1);
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}
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}
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TEST(StructsGenTest, EmptyOptional) {
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mlir::MLIRContext context;
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auto structAttr = getTestStruct(&context);
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EXPECT_EQ(structAttr.sample_optional_integer(), nullptr);
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}
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} // namespace mlir
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