blob: bfe494516bb79d1451dc2fd71b98347a0d49efe9 [file] [log] [blame]
//===- InferTypeOpInterfaceTest.cpp - Unit Test for type interface --------===//
//
// 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/Interfaces/InferTypeOpInterface.h"
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
#include "mlir/Dialect/StandardOps/IR/Ops.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/BuiltinOps.h"
#include "mlir/IR/Dialect.h"
#include "mlir/IR/DialectImplementation.h"
#include "mlir/IR/ImplicitLocOpBuilder.h"
#include "mlir/IR/OpDefinition.h"
#include "mlir/IR/OpImplementation.h"
#include "mlir/Parser.h"
#include <gtest/gtest.h>
using namespace mlir;
class ValueShapeRangeTest : public testing::Test {
protected:
void SetUp() override {
const char *ir = R"MLIR(
func @map(%arg : tensor<1xi64>) {
%0 = arith.constant dense<[10]> : tensor<1xi64>
%1 = arith.addi %arg, %0 : tensor<1xi64>
return
}
)MLIR";
registry.insert<StandardOpsDialect, arith::ArithmeticDialect>();
ctx.appendDialectRegistry(registry);
module = parseSourceString(ir, &ctx);
mapFn = cast<FuncOp>(module->front());
}
// Create ValueShapeRange on the arith.addi operation.
ValueShapeRange addiRange() {
auto &fnBody = mapFn.body();
return std::next(fnBody.front().begin())->getOperands();
}
DialectRegistry registry;
MLIRContext ctx;
OwningModuleRef module;
FuncOp mapFn;
};
TEST_F(ValueShapeRangeTest, ShapesFromValues) {
ValueShapeRange range = addiRange();
EXPECT_FALSE(range.getValueAsShape(0));
ASSERT_TRUE(range.getValueAsShape(1));
EXPECT_TRUE(range.getValueAsShape(1).hasRank());
EXPECT_EQ(range.getValueAsShape(1).getRank(), 1);
EXPECT_EQ(range.getValueAsShape(1).getDimSize(0), 10);
EXPECT_EQ(range.getShape(1).getRank(), 1);
EXPECT_EQ(range.getShape(1).getDimSize(0), 1);
}
TEST_F(ValueShapeRangeTest, MapValuesToShapes) {
ValueShapeRange range = addiRange();
ShapedTypeComponents fixed(SmallVector<int64_t>{30});
auto mapping = [&](Value val) -> ShapeAdaptor {
if (val == mapFn.getArgument(0))
return &fixed;
return nullptr;
};
range.setValueToShapeMapping(mapping);
ASSERT_TRUE(range.getValueAsShape(0));
EXPECT_TRUE(range.getValueAsShape(0).hasRank());
EXPECT_EQ(range.getValueAsShape(0).getRank(), 1);
EXPECT_EQ(range.getValueAsShape(0).getDimSize(0), 30);
ASSERT_TRUE(range.getValueAsShape(1));
EXPECT_TRUE(range.getValueAsShape(1).hasRank());
EXPECT_EQ(range.getValueAsShape(1).getRank(), 1);
EXPECT_EQ(range.getValueAsShape(1).getDimSize(0), 10);
}
TEST_F(ValueShapeRangeTest, SettingShapes) {
ShapedTypeComponents shape(SmallVector<int64_t>{10, 20});
ValueShapeRange range = addiRange();
auto mapping = [&](Value val) -> ShapeAdaptor {
if (val == mapFn.getArgument(0))
return &shape;
return nullptr;
};
range.setOperandShapeMapping(mapping);
ASSERT_TRUE(range.getShape(0));
EXPECT_EQ(range.getShape(0).getRank(), 2);
EXPECT_EQ(range.getShape(0).getDimSize(0), 10);
EXPECT_EQ(range.getShape(0).getDimSize(1), 20);
ASSERT_TRUE(range.getShape(1));
EXPECT_EQ(range.getShape(1).getRank(), 1);
EXPECT_EQ(range.getShape(1).getDimSize(0), 1);
EXPECT_FALSE(range.getShape(2));
}