llvm-project/mlir/unittests/IR/AttributeTest.cpp

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//===- AttributeTest.cpp - Attribute unit 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/BuiltinAttributes.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/Identifier.h"
#include "gtest/gtest.h"
using namespace mlir;
using namespace mlir::detail;
template <typename EltTy>
static void testSplat(Type eltType, const EltTy &splatElt) {
RankedTensorType shape = RankedTensorType::get({2, 1}, eltType);
// Check that the generated splat is the same for 1 element and N elements.
DenseElementsAttr splat = DenseElementsAttr::get(shape, splatElt);
EXPECT_TRUE(splat.isSplat());
auto detectedSplat =
DenseElementsAttr::get(shape, llvm::makeArrayRef({splatElt, splatElt}));
EXPECT_EQ(detectedSplat, splat);
for (auto newValue : detectedSplat.template getValues<EltTy>())
EXPECT_TRUE(newValue == splatElt);
}
namespace {
TEST(DenseSplatTest, BoolSplat) {
MLIRContext context;
IntegerType boolTy = IntegerType::get(&context, 1);
RankedTensorType shape = RankedTensorType::get({2, 2}, boolTy);
// Check that splat is automatically detected for boolean values.
/// True.
DenseElementsAttr trueSplat = DenseElementsAttr::get(shape, true);
EXPECT_TRUE(trueSplat.isSplat());
/// False.
DenseElementsAttr falseSplat = DenseElementsAttr::get(shape, false);
EXPECT_TRUE(falseSplat.isSplat());
EXPECT_NE(falseSplat, trueSplat);
/// Detect and handle splat within 8 elements (bool values are bit-packed).
/// True.
auto detectedSplat = DenseElementsAttr::get(shape, {true, true, true, true});
EXPECT_EQ(detectedSplat, trueSplat);
/// False.
detectedSplat = DenseElementsAttr::get(shape, {false, false, false, false});
EXPECT_EQ(detectedSplat, falseSplat);
}
TEST(DenseSplatTest, LargeBoolSplat) {
constexpr int64_t boolCount = 56;
MLIRContext context;
IntegerType boolTy = IntegerType::get(&context, 1);
RankedTensorType shape = RankedTensorType::get({boolCount}, boolTy);
// Check that splat is automatically detected for boolean values.
/// True.
DenseElementsAttr trueSplat = DenseElementsAttr::get(shape, true);
DenseElementsAttr falseSplat = DenseElementsAttr::get(shape, false);
EXPECT_TRUE(trueSplat.isSplat());
EXPECT_TRUE(falseSplat.isSplat());
/// Detect that the large boolean arrays are properly splatted.
/// True.
SmallVector<bool, 64> trueValues(boolCount, true);
auto detectedSplat = DenseElementsAttr::get(shape, trueValues);
EXPECT_EQ(detectedSplat, trueSplat);
/// False.
SmallVector<bool, 64> falseValues(boolCount, false);
detectedSplat = DenseElementsAttr::get(shape, falseValues);
EXPECT_EQ(detectedSplat, falseSplat);
}
TEST(DenseSplatTest, BoolNonSplat) {
MLIRContext context;
IntegerType boolTy = IntegerType::get(&context, 1);
RankedTensorType shape = RankedTensorType::get({6}, boolTy);
// Check that we properly handle non-splat values.
DenseElementsAttr nonSplat =
DenseElementsAttr::get(shape, {false, false, true, false, false, true});
EXPECT_FALSE(nonSplat.isSplat());
}
TEST(DenseSplatTest, OddIntSplat) {
// Test detecting a splat with an odd(non 8-bit) integer bitwidth.
MLIRContext context;
constexpr size_t intWidth = 19;
IntegerType intTy = IntegerType::get(&context, intWidth);
APInt value(intWidth, 10);
testSplat(intTy, value);
}
TEST(DenseSplatTest, Int32Splat) {
MLIRContext context;
IntegerType intTy = IntegerType::get(&context, 32);
int value = 64;
testSplat(intTy, value);
}
TEST(DenseSplatTest, IntAttrSplat) {
MLIRContext context;
IntegerType intTy = IntegerType::get(&context, 85);
Attribute value = IntegerAttr::get(intTy, 109);
testSplat(intTy, value);
}
TEST(DenseSplatTest, F32Splat) {
MLIRContext context;
FloatType floatTy = FloatType::getF32(&context);
float value = 10.0;
testSplat(floatTy, value);
}
TEST(DenseSplatTest, F64Splat) {
MLIRContext context;
FloatType floatTy = FloatType::getF64(&context);
double value = 10.0;
testSplat(floatTy, APFloat(value));
}
TEST(DenseSplatTest, FloatAttrSplat) {
MLIRContext context;
FloatType floatTy = FloatType::getF32(&context);
Attribute value = FloatAttr::get(floatTy, 10.0);
testSplat(floatTy, value);
}
TEST(DenseSplatTest, BF16Splat) {
MLIRContext context;
FloatType floatTy = FloatType::getBF16(&context);
Attribute value = FloatAttr::get(floatTy, 10.0);
testSplat(floatTy, value);
}
TEST(DenseSplatTest, StringSplat) {
MLIRContext context;
context.allowUnregisteredDialects();
Type stringType =
OpaqueType::get(Identifier::get("test", &context), "string");
StringRef value = "test-string";
testSplat(stringType, value);
}
TEST(DenseSplatTest, StringAttrSplat) {
MLIRContext context;
context.allowUnregisteredDialects();
Type stringType =
OpaqueType::get(Identifier::get("test", &context), "string");
Attribute stringAttr = StringAttr::get("test-string", stringType);
testSplat(stringType, stringAttr);
}
TEST(DenseComplexTest, ComplexFloatSplat) {
MLIRContext context;
ComplexType complexType = ComplexType::get(FloatType::getF32(&context));
std::complex<float> value(10.0, 15.0);
testSplat(complexType, value);
}
TEST(DenseComplexTest, ComplexIntSplat) {
MLIRContext context;
ComplexType complexType = ComplexType::get(IntegerType::get(&context, 64));
std::complex<int64_t> value(10, 15);
testSplat(complexType, value);
}
TEST(DenseComplexTest, ComplexAPFloatSplat) {
MLIRContext context;
ComplexType complexType = ComplexType::get(FloatType::getF32(&context));
std::complex<APFloat> value(APFloat(10.0f), APFloat(15.0f));
testSplat(complexType, value);
}
TEST(DenseComplexTest, ComplexAPIntSplat) {
MLIRContext context;
ComplexType complexType = ComplexType::get(IntegerType::get(&context, 64));
std::complex<APInt> value(APInt(64, 10), APInt(64, 15));
testSplat(complexType, value);
}
TEST(DenseScalarTest, ExtractZeroRankElement) {
MLIRContext context;
const int elementValue = 12;
IntegerType intTy = IntegerType::get(&context, 32);
Attribute value = IntegerAttr::get(intTy, elementValue);
RankedTensorType shape = RankedTensorType::get({}, intTy);
auto attr = DenseElementsAttr::get(shape, llvm::makeArrayRef({elementValue}));
EXPECT_TRUE(attr.getValue({0}) == value);
}
} // end namespace