forked from OSchip/llvm-project
254 lines
8.4 KiB
C++
254 lines
8.4 KiB
C++
//===- AttributeTest.cpp - Attribute unit 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/BuiltinAttributes.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "gtest/gtest.h"
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using namespace mlir;
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using namespace mlir::detail;
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template <typename EltTy>
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static void testSplat(Type eltType, const EltTy &splatElt) {
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RankedTensorType shape = RankedTensorType::get({2, 1}, eltType);
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// Check that the generated splat is the same for 1 element and N elements.
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DenseElementsAttr splat = DenseElementsAttr::get(shape, splatElt);
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EXPECT_TRUE(splat.isSplat());
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auto detectedSplat =
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DenseElementsAttr::get(shape, llvm::makeArrayRef({splatElt, splatElt}));
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EXPECT_EQ(detectedSplat, splat);
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for (auto newValue : detectedSplat.template getValues<EltTy>())
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EXPECT_TRUE(newValue == splatElt);
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}
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namespace {
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TEST(DenseSplatTest, BoolSplat) {
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MLIRContext context;
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IntegerType boolTy = IntegerType::get(&context, 1);
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RankedTensorType shape = RankedTensorType::get({2, 2}, boolTy);
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// Check that splat is automatically detected for boolean values.
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/// True.
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DenseElementsAttr trueSplat = DenseElementsAttr::get(shape, true);
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EXPECT_TRUE(trueSplat.isSplat());
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/// False.
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DenseElementsAttr falseSplat = DenseElementsAttr::get(shape, false);
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EXPECT_TRUE(falseSplat.isSplat());
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EXPECT_NE(falseSplat, trueSplat);
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/// Detect and handle splat within 8 elements (bool values are bit-packed).
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/// True.
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auto detectedSplat = DenseElementsAttr::get(shape, {true, true, true, true});
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EXPECT_EQ(detectedSplat, trueSplat);
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/// False.
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detectedSplat = DenseElementsAttr::get(shape, {false, false, false, false});
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EXPECT_EQ(detectedSplat, falseSplat);
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}
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TEST(DenseSplatTest, LargeBoolSplat) {
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constexpr int64_t boolCount = 56;
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MLIRContext context;
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IntegerType boolTy = IntegerType::get(&context, 1);
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RankedTensorType shape = RankedTensorType::get({boolCount}, boolTy);
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// Check that splat is automatically detected for boolean values.
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/// True.
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DenseElementsAttr trueSplat = DenseElementsAttr::get(shape, true);
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DenseElementsAttr falseSplat = DenseElementsAttr::get(shape, false);
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EXPECT_TRUE(trueSplat.isSplat());
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EXPECT_TRUE(falseSplat.isSplat());
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/// Detect that the large boolean arrays are properly splatted.
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/// True.
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SmallVector<bool, 64> trueValues(boolCount, true);
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auto detectedSplat = DenseElementsAttr::get(shape, trueValues);
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EXPECT_EQ(detectedSplat, trueSplat);
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/// False.
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SmallVector<bool, 64> falseValues(boolCount, false);
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detectedSplat = DenseElementsAttr::get(shape, falseValues);
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EXPECT_EQ(detectedSplat, falseSplat);
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}
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TEST(DenseSplatTest, BoolNonSplat) {
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MLIRContext context;
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IntegerType boolTy = IntegerType::get(&context, 1);
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RankedTensorType shape = RankedTensorType::get({6}, boolTy);
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// Check that we properly handle non-splat values.
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DenseElementsAttr nonSplat =
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DenseElementsAttr::get(shape, {false, false, true, false, false, true});
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EXPECT_FALSE(nonSplat.isSplat());
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}
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TEST(DenseSplatTest, OddIntSplat) {
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// Test detecting a splat with an odd(non 8-bit) integer bitwidth.
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MLIRContext context;
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constexpr size_t intWidth = 19;
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IntegerType intTy = IntegerType::get(&context, intWidth);
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APInt value(intWidth, 10);
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testSplat(intTy, value);
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}
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TEST(DenseSplatTest, Int32Splat) {
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MLIRContext context;
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IntegerType intTy = IntegerType::get(&context, 32);
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int value = 64;
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testSplat(intTy, value);
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}
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TEST(DenseSplatTest, IntAttrSplat) {
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MLIRContext context;
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IntegerType intTy = IntegerType::get(&context, 85);
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Attribute value = IntegerAttr::get(intTy, 109);
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testSplat(intTy, value);
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}
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TEST(DenseSplatTest, F32Splat) {
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MLIRContext context;
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FloatType floatTy = FloatType::getF32(&context);
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float value = 10.0;
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testSplat(floatTy, value);
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}
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TEST(DenseSplatTest, F64Splat) {
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MLIRContext context;
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FloatType floatTy = FloatType::getF64(&context);
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double value = 10.0;
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testSplat(floatTy, APFloat(value));
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}
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TEST(DenseSplatTest, FloatAttrSplat) {
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MLIRContext context;
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FloatType floatTy = FloatType::getF32(&context);
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Attribute value = FloatAttr::get(floatTy, 10.0);
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testSplat(floatTy, value);
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}
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TEST(DenseSplatTest, BF16Splat) {
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MLIRContext context;
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FloatType floatTy = FloatType::getBF16(&context);
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Attribute value = FloatAttr::get(floatTy, 10.0);
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testSplat(floatTy, value);
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}
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TEST(DenseSplatTest, StringSplat) {
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MLIRContext context;
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context.allowUnregisteredDialects();
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Type stringType =
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OpaqueType::get(StringAttr::get(&context, "test"), "string");
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StringRef value = "test-string";
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testSplat(stringType, value);
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}
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TEST(DenseSplatTest, StringAttrSplat) {
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MLIRContext context;
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context.allowUnregisteredDialects();
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Type stringType =
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OpaqueType::get(StringAttr::get(&context, "test"), "string");
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Attribute stringAttr = StringAttr::get("test-string", stringType);
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testSplat(stringType, stringAttr);
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}
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TEST(DenseComplexTest, ComplexFloatSplat) {
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MLIRContext context;
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ComplexType complexType = ComplexType::get(FloatType::getF32(&context));
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std::complex<float> value(10.0, 15.0);
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testSplat(complexType, value);
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}
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TEST(DenseComplexTest, ComplexIntSplat) {
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MLIRContext context;
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ComplexType complexType = ComplexType::get(IntegerType::get(&context, 64));
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std::complex<int64_t> value(10, 15);
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testSplat(complexType, value);
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}
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TEST(DenseComplexTest, ComplexAPFloatSplat) {
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MLIRContext context;
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ComplexType complexType = ComplexType::get(FloatType::getF32(&context));
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std::complex<APFloat> value(APFloat(10.0f), APFloat(15.0f));
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testSplat(complexType, value);
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}
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TEST(DenseComplexTest, ComplexAPIntSplat) {
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MLIRContext context;
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ComplexType complexType = ComplexType::get(IntegerType::get(&context, 64));
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std::complex<APInt> value(APInt(64, 10), APInt(64, 15));
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testSplat(complexType, value);
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}
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TEST(DenseScalarTest, ExtractZeroRankElement) {
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MLIRContext context;
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const int elementValue = 12;
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IntegerType intTy = IntegerType::get(&context, 32);
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Attribute value = IntegerAttr::get(intTy, elementValue);
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RankedTensorType shape = RankedTensorType::get({}, intTy);
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auto attr = DenseElementsAttr::get(shape, llvm::makeArrayRef({elementValue}));
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EXPECT_TRUE(attr.getValues<Attribute>()[0] == value);
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}
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TEST(SparseElementsAttrTest, GetZero) {
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MLIRContext context;
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context.allowUnregisteredDialects();
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IntegerType intTy = IntegerType::get(&context, 32);
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FloatType floatTy = FloatType::getF32(&context);
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Type stringTy = OpaqueType::get(StringAttr::get(&context, "test"), "string");
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ShapedType tensorI32 = RankedTensorType::get({2, 2}, intTy);
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ShapedType tensorF32 = RankedTensorType::get({2, 2}, floatTy);
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ShapedType tensorString = RankedTensorType::get({2, 2}, stringTy);
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auto indicesType =
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RankedTensorType::get({1, 2}, IntegerType::get(&context, 64));
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auto indices =
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DenseIntElementsAttr::get(indicesType, {APInt(64, 0), APInt(64, 0)});
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RankedTensorType intValueTy = RankedTensorType::get({1}, intTy);
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auto intValue = DenseIntElementsAttr::get(intValueTy, {1});
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RankedTensorType floatValueTy = RankedTensorType::get({1}, floatTy);
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auto floatValue = DenseFPElementsAttr::get(floatValueTy, {1.0f});
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RankedTensorType stringValueTy = RankedTensorType::get({1}, stringTy);
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auto stringValue = DenseElementsAttr::get(stringValueTy, {StringRef("foo")});
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auto sparseInt = SparseElementsAttr::get(tensorI32, indices, intValue);
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auto sparseFloat = SparseElementsAttr::get(tensorF32, indices, floatValue);
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auto sparseString =
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SparseElementsAttr::get(tensorString, indices, stringValue);
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// Only index (0, 0) contains an element, others are supposed to return
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// the zero/empty value.
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auto zeroIntValue = sparseInt.getValues<Attribute>()[{1, 1}];
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EXPECT_EQ(zeroIntValue.cast<IntegerAttr>().getInt(), 0);
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EXPECT_TRUE(zeroIntValue.getType() == intTy);
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auto zeroFloatValue = sparseFloat.getValues<Attribute>()[{1, 1}];
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EXPECT_EQ(zeroFloatValue.cast<FloatAttr>().getValueAsDouble(), 0.0f);
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EXPECT_TRUE(zeroFloatValue.getType() == floatTy);
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auto zeroStringValue = sparseString.getValues<Attribute>()[{1, 1}];
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EXPECT_TRUE(zeroStringValue.cast<StringAttr>().getValue().empty());
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EXPECT_TRUE(zeroStringValue.getType() == stringTy);
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}
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} // namespace
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