1 //===- InferTypeOpInterfaceTest.cpp - Unit Test for type interface --------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 
9 #include "mlir/Interfaces/InferTypeOpInterface.h"
10 #include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
11 #include "mlir/Dialect/Func/IR/FuncOps.h"
12 #include "mlir/IR/Builders.h"
13 #include "mlir/IR/BuiltinOps.h"
14 #include "mlir/IR/Dialect.h"
15 #include "mlir/IR/DialectImplementation.h"
16 #include "mlir/IR/ImplicitLocOpBuilder.h"
17 #include "mlir/IR/OpDefinition.h"
18 #include "mlir/IR/OpImplementation.h"
19 #include "mlir/Parser/Parser.h"
20 
21 #include <gtest/gtest.h>
22 
23 using namespace mlir;
24 
25 class ValueShapeRangeTest : public testing::Test {
26 protected:
SetUp()27   void SetUp() override {
28     const char *ir = R"MLIR(
29       func.func @map(%arg : tensor<1xi64>) {
30         %0 = arith.constant dense<[10]> : tensor<1xi64>
31         %1 = arith.addi %arg, %0 : tensor<1xi64>
32         return
33       }
34     )MLIR";
35 
36     registry.insert<func::FuncDialect, arith::ArithmeticDialect>();
37     ctx.appendDialectRegistry(registry);
38     module = parseSourceString<ModuleOp>(ir, &ctx);
39     mapFn = cast<func::FuncOp>(module->front());
40   }
41 
42   // Create ValueShapeRange on the arith.addi operation.
addiRange()43   ValueShapeRange addiRange() {
44     auto &fnBody = mapFn.getBody();
45     return std::next(fnBody.front().begin())->getOperands();
46   }
47 
48   DialectRegistry registry;
49   MLIRContext ctx;
50   OwningOpRef<ModuleOp> module;
51   func::FuncOp mapFn;
52 };
53 
TEST_F(ValueShapeRangeTest,ShapesFromValues)54 TEST_F(ValueShapeRangeTest, ShapesFromValues) {
55   ValueShapeRange range = addiRange();
56 
57   EXPECT_FALSE(range.getValueAsShape(0));
58   ASSERT_TRUE(range.getValueAsShape(1));
59   EXPECT_TRUE(range.getValueAsShape(1).hasRank());
60   EXPECT_EQ(range.getValueAsShape(1).getRank(), 1);
61   EXPECT_EQ(range.getValueAsShape(1).getDimSize(0), 10);
62   EXPECT_EQ(range.getShape(1).getRank(), 1);
63   EXPECT_EQ(range.getShape(1).getDimSize(0), 1);
64 }
65 
TEST_F(ValueShapeRangeTest,MapValuesToShapes)66 TEST_F(ValueShapeRangeTest, MapValuesToShapes) {
67   ValueShapeRange range = addiRange();
68   ShapedTypeComponents fixed(SmallVector<int64_t>{30});
69   auto mapping = [&](Value val) -> ShapeAdaptor {
70     if (val == mapFn.getArgument(0))
71       return &fixed;
72     return nullptr;
73   };
74   range.setValueToShapeMapping(mapping);
75 
76   ASSERT_TRUE(range.getValueAsShape(0));
77   EXPECT_TRUE(range.getValueAsShape(0).hasRank());
78   EXPECT_EQ(range.getValueAsShape(0).getRank(), 1);
79   EXPECT_EQ(range.getValueAsShape(0).getDimSize(0), 30);
80   ASSERT_TRUE(range.getValueAsShape(1));
81   EXPECT_TRUE(range.getValueAsShape(1).hasRank());
82   EXPECT_EQ(range.getValueAsShape(1).getRank(), 1);
83   EXPECT_EQ(range.getValueAsShape(1).getDimSize(0), 10);
84 }
85 
TEST_F(ValueShapeRangeTest,SettingShapes)86 TEST_F(ValueShapeRangeTest, SettingShapes) {
87   ShapedTypeComponents shape(SmallVector<int64_t>{10, 20});
88   ValueShapeRange range = addiRange();
89   auto mapping = [&](Value val) -> ShapeAdaptor {
90     if (val == mapFn.getArgument(0))
91       return &shape;
92     return nullptr;
93   };
94   range.setOperandShapeMapping(mapping);
95 
96   ASSERT_TRUE(range.getShape(0));
97   EXPECT_EQ(range.getShape(0).getRank(), 2);
98   EXPECT_EQ(range.getShape(0).getDimSize(0), 10);
99   EXPECT_EQ(range.getShape(0).getDimSize(1), 20);
100   ASSERT_TRUE(range.getShape(1));
101   EXPECT_EQ(range.getShape(1).getRank(), 1);
102   EXPECT_EQ(range.getShape(1).getDimSize(0), 1);
103   EXPECT_FALSE(range.getShape(2));
104 }
105