1// RUN: mlir-opt --tosa-make-broadcastable %s | FileCheck %s
2
3// -----
4// CHECK-LABEL: broadcast0
5func @test_broadcast0(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> {
6  //  CHECK-NOT: reshape
7  %0 = "tosa.add"(%arg0, %arg1) : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
8  return %0 : tensor<1xf32>
9}
10
11// -----
12// CHECK-LABEL: broadcast1
13func @test_broadcast1(%arg0: tensor<1xf32>, %arg1: tensor<2x1xf32>) -> tensor<2x1xf32> {
14  //  CHECK: reshape
15  %0 = "tosa.add"(%arg0, %arg1) : (tensor<1xf32>, tensor<2x1xf32>) -> tensor<2x1xf32>
16  return %0 : tensor<2x1xf32>
17}
18
19// -----
20// CHECK-LABEL: broadcast2
21func @test_broadcast2(%arg0: tensor<2x1xf32>, %arg1: tensor<1xf32>) -> tensor<2x1xf32> {
22  //  CHECK: reshape
23  %0 = "tosa.add"(%arg0, %arg1) : (tensor<2x1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
24  return %0 : tensor<2x1xf32>
25}
26
27// -----
28// CHECK-LABEL: broadcast3
29func @test_broadcast3(%arg0: tensor<2x1x1x1xf32>, %arg1: tensor<1xf32>) -> tensor<2x1x1x1xf32> {
30  //  CHECK: reshape
31  %0 = "tosa.add"(%arg0, %arg1) : (tensor<2x1x1x1xf32>, tensor<1xf32>) -> tensor<2x1x1x1xf32>
32  return %0 : tensor<2x1x1x1xf32>
33}
34
35// -----
36// CHECK-LABEL: broadcast4
37func @test_broadcast4(%arg0: tensor<1x1x1x2xf32>, %arg1: tensor<1xf32>) -> tensor<1x1x1x2xf32> {
38  //  CHECK: reshape
39  %0 = "tosa.add"(%arg0, %arg1) : (tensor<1x1x1x2xf32>, tensor<1xf32>) -> tensor<1x1x1x2xf32>
40  return %0 : tensor<1x1x1x2xf32>
41}
42
43// -----
44// CHECK-LABEL: broadcast5
45func @test_broadcast5(%arg0: tensor<1x1x2x1xf32>, %arg1: tensor<1xf32>) -> tensor<1x1x2x1xf32> {
46  //  CHECK: reshape
47  %0 = "tosa.add"(%arg0, %arg1) : (tensor<1x1x2x1xf32>, tensor<1xf32>) -> tensor<1x1x2x1xf32>
48  return %0 : tensor<1x1x2x1xf32>
49}
50
51// -----
52// CHECK-LABEL: broadcast6
53func @test_broadcast6(%arg0: tensor<17x16x15x14xf32>, %arg1: tensor<1xf32>) -> tensor<17x16x15x14xf32> {
54  //  CHECK: reshape
55  %0 = "tosa.add"(%arg0, %arg1) : (tensor<17x16x15x14xf32>, tensor<1xf32>) -> tensor<17x16x15x14xf32>
56  return %0 : tensor<17x16x15x14xf32>
57}
58
59// -----
60// CHECK-LABEL: broadcast7
61func @test_broadcast7(%arg0: tensor<17x16x1x14xf32>, %arg1: tensor<1x1xf32>) -> tensor<17x16x1x14xf32> {
62  //  CHECK: reshape
63  %0 = "tosa.add"(%arg0, %arg1) : (tensor<17x16x1x14xf32>, tensor<1x1xf32>) -> tensor<17x16x1x14xf32>
64  return %0 : tensor<17x16x1x14xf32>
65}
66
67// -----
68// CHECK-LABEL: broadcast8
69func @test_broadcast8(%arg0: tensor<17x16x15x14xf32>, %arg1: tensor<1x1xf32>) -> tensor<17x16x15x14xf32> {
70  //  CHECK: reshape
71  %0 = "tosa.add"(%arg0, %arg1) : (tensor<17x16x15x14xf32>, tensor<1x1xf32>) -> tensor<17x16x15x14xf32>
72  return %0 : tensor<17x16x15x14xf32>
73}
74
75// -----
76// CHECK-LABEL: broadcast9
77func @test_broadcast9(%arg0: tensor<17x16x15x14xf32>, %arg1: tensor<15x1xf32>) -> tensor<17x16x15x14xf32> {
78  //  CHECK: reshape
79  %0 = "tosa.add"(%arg0, %arg1) : (tensor<17x16x15x14xf32>, tensor<15x1xf32>) -> tensor<17x16x15x14xf32>
80  return %0 : tensor<17x16x15x14xf32>
81}
82
83// -----
84// CHECK-LABEL: broadcast10
85func @test_broadcast10(%arg0: tensor<17x16x15x14xf32>, %arg1: tensor<15x14xf32>) -> tensor<17x16x15x14xf32> {
86  //  CHECK: reshape
87  %0 = "tosa.add"(%arg0, %arg1) : (tensor<17x16x15x14xf32>, tensor<15x14xf32>) -> tensor<17x16x15x14xf32>
88  return %0 : tensor<17x16x15x14xf32>
89}
90
91// -----
92// CHECK-LABEL: broadcast13
93func @test_broadcast13(%arg0: tensor<1xf32>, %arg1: tensor<17x16x15x14xf32>) -> tensor<17x16x15x14xf32> {
94  //  CHECK: reshape
95  %0 = "tosa.add"(%arg0, %arg1) : (tensor<1xf32>, tensor<17x16x15x14xf32>) -> tensor<17x16x15x14xf32>
96  return %0 : tensor<17x16x15x14xf32>
97}
98
99// -----
100// CHECK-LABEL: broadcast14
101func @test_broadcast14(%arg0: tensor<1x1xf32>, %arg1: tensor<17x16x1x14xf32>) -> tensor<17x16x1x14xf32> {
102  //  CHECK: reshape
103  %0 = "tosa.add"(%arg0, %arg1) : (tensor<1x1xf32>, tensor<17x16x1x14xf32>) -> tensor<17x16x1x14xf32>
104  return %0 : tensor<17x16x1x14xf32>
105}
106
107// -----
108// CHECK-LABEL: broadcast15
109func @test_broadcast15(%arg0: tensor<1x1xf32>, %arg1: tensor<17x16x15x14xf32>) -> tensor<17x16x15x14xf32> {
110  //  CHECK: reshape
111  %0 = "tosa.add"(%arg0, %arg1) : (tensor<1x1xf32>, tensor<17x16x15x14xf32>) -> tensor<17x16x15x14xf32>
112  return %0 : tensor<17x16x15x14xf32>
113}
114
115// -----
116// CHECK-LABEL: broadcast16
117func @test_broadcast16(%arg0: tensor<15x1xf32>, %arg1: tensor<17x16x15x14xf32>) -> tensor<17x16x15x14xf32> {
118  //  CHECK: reshape
119  %0 = "tosa.add"(%arg0, %arg1) : (tensor<15x1xf32>, tensor<17x16x15x14xf32>) -> tensor<17x16x15x14xf32>
120  return %0 : tensor<17x16x15x14xf32>
121}
122
123// -----
124// CHECK-LABEL: broadcast17
125func @test_broadcast17(%arg0: tensor<15x14xf32>, %arg1: tensor<17x16x15x14xf32>) -> tensor<17x16x15x14xf32> {
126  //  CHECK: reshape
127  %0 = "tosa.add"(%arg0, %arg1) : (tensor<15x14xf32>, tensor<17x16x15x14xf32>) -> tensor<17x16x15x14xf32>
128  return %0 : tensor<17x16x15x14xf32>
129}
130
131// -----
132// CHECK-LABEL: broadcast18
133func @test_broadcast18(%arg0: tensor<14x1xf32>, %arg1: tensor<1x15xf32>) -> tensor<14x15xf32> {
134  //  CHECK: add
135  %0 = "tosa.add"(%arg0, %arg1) : (tensor<14x1xf32>, tensor<1x15xf32>) -> tensor<14x15xf32>
136  return %0 : tensor<14x15xf32>
137}
138
139// -----
140// CHECK-LABEL: broadcast_mul
141func @test_broadcast_mul(%arg0: tensor<15x14xi32>, %arg1: tensor<17x16x15x14xi32>) -> tensor<17x16x15x14xi32> {
142  //  CHECK: reshape
143  %0 = "tosa.mul"(%arg0, %arg1) {shift = 1 : i32 } : (tensor<15x14xi32>, tensor<17x16x15x14xi32>) -> tensor<17x16x15x14xi32>
144  return %0 : tensor<17x16x15x14xi32>
145}
146
147// -----
148// CHECK-LABEL: broadcast_arithmetic_right_shift
149func @test_broadcast_arithmetic_right_shift(%arg0: tensor<15x14xi32>, %arg1: tensor<17x16x15x14xi32>) -> tensor<17x16x15x14xi32> {
150  //  CHECK: reshape
151  %0 = "tosa.arithmetic_right_shift"(%arg0, %arg1) { round = true } : (tensor<15x14xi32>, tensor<17x16x15x14xi32>) -> tensor<17x16x15x14xi32>
152  return %0 : tensor<17x16x15x14xi32>
153}
154
155// -----
156// CHECK-LABEL: broadcast_scalar
157func @test_broadcast_scalar(%arg0: tensor<i32>, %arg1: tensor<17x16x15x14xi32>) -> tensor<17x16x15x14xi32> {
158  //  CHECK-NEXT: reshape
159  %0 = "tosa.add"(%arg0, %arg1) : (tensor<i32>, tensor<17x16x15x14xi32>) -> tensor<17x16x15x14xi32>
160  return %0 : tensor<17x16x15x14xi32>
161}
162