1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
|
//TEST(compute):COMPARE_COMPUTE_EX(filecheck-buffer=CHECK):-slang -output-using-type -compute -wgsl -shaderobj -xslang -DTYPE=int
//TEST(compute):COMPARE_COMPUTE_EX(filecheck-buffer=CHECK):-slang -output-using-type -compute -wgsl -shaderobj -xslang -DTYPE=uint
#ifndef TYPE
#define TYPE int
#endif
typealias m2x2 = matrix<TYPE, 2, 2>;
typealias m2x3 = matrix<TYPE, 2, 3>;
typealias m3x3 = matrix<TYPE, 3, 3>;
typealias m2x4 = matrix<TYPE, 2, 4>;
//TEST_INPUT:ubuffer(data=[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0], stride=4):out,name outputBuffer
//TEST_INPUT:ubuffer(data=[-1 4], stride=4):name expectedBuffer
RWStructuredBuffer<TYPE> outputBuffer;
RWStructuredBuffer<TYPE> expectedBuffer;
struct matrixWrapper {
m2x2 mat1 = m2x2(1, 2, 3, 4);
m2x3 mat2 = m2x3(5, 6, 7, 8, 9, 10);
};
TYPE elementAdd(m2x2 matrix)
{
return matrix[0][0]
+ matrix[0][1]
+ matrix[1][0]
+ matrix[1][1];
}
[numthreads(1, 1, 1)]
void computeMain(uint3 dispatchThreadID : SV_DispatchThreadID)
{
// Test matrix construction
m2x2 mat1 = m2x2(1, 2, 3, 4);
m3x3 mat2 = m3x3(
1, 2, 3,
4, 5, 6,
7, 8, 9
);
m2x4 mat3 = m2x4(
10, 11, 12, 13,
14, 15, 16, 17
);
// Test matrix element access
TYPE val1 = mat1[0][0];
TYPE val2 = mat2[2][1];
// Test matrix row access
vector<TYPE, 2> row = mat1[1];
vector<TYPE, 3> row3 = mat2[0];
// Test arithmetic operations
m2x2 mat5 = m2x2(2, 4, 6, 7);
m2x2 mat_scalar = 2 * mat1;
m2x2 mat_add = mat1 + mat5;
m2x2 mat_sub = mat5 - mat1;
m2x2 mat_mul = mat1 * mat5;
// Test passing matrices to functions
TYPE added = elementAdd(mat1);
// Test structs with matrix fields
matrixWrapper wrapper = {};
// Test matrix intrinsic operations
// Test determinant for square matrices
m2x2 mat6 = m2x2(2, 1, 4, 3);
TYPE det2x2 = TYPE(determinant(mat6));
TYPE det3x3 = TYPE(determinant(mat2));
// Test transpose
matrix<TYPE, 2, 2> trans2x2 = transpose(mat1);
matrix<TYPE, 3, 2> trans2x3 = transpose(wrapper.mat2);
// Test element-wise min/max
m2x2 mat_min = min(mat1, mat5);
m2x2 mat_max = max(mat1, mat5);
// Test all/any operations (these return bool, but we'll cast to TYPE for output)
m2x2 zero_mat = m2x2(0, 0, 0, 0);
m2x2 mixed_mat = m2x2(1, 0, 2, 0);
TYPE all_nonzero = TYPE(all(mat1));
TYPE all_zero = TYPE(all(zero_mat));
TYPE any_nonzero = TYPE(any(mixed_mat));
TYPE any_zero = TYPE(any(zero_mat));
// Test bit shift operations
m2x2 shift_mat = m2x2(1, 2, 4, 8);
m2x2 left_shift = shift_mat << 1;
m2x2 right_shift = shift_mat >> 1;
// Test comparison operations (these return bool matrices, cast to TYPE for output)
m2x2 comp_mat1 = m2x2(1, 3, 2, 4);
m2x2 comp_mat2 = m2x2(2, 2, 3, 3);
matrix<bool, 2, 2> less_than = comp_mat1 < comp_mat2;
matrix<bool, 2, 2> greater_than = comp_mat1 > comp_mat2;
matrix<bool, 2, 2> less_equal = comp_mat1 <= comp_mat2;
matrix<bool, 2, 2> greater_equal = comp_mat1 >= comp_mat2;
matrix<bool, 2, 2> equal_to = comp_mat1 == comp_mat2;
matrix<bool, 2, 2> not_equal = comp_mat1 != comp_mat2;
// Test matrix negation operations
m2x2 neg_mat = m2x2(1, -2, 3, -4);
m2x2 negated = -neg_mat;
// Store results
outputBuffer[0] = val1;
// CHECK: 1
outputBuffer[1] = val2;
// CHECK-NEXT: 8
outputBuffer[2] = row.x;
// CHECK-NEXT: 3
outputBuffer[3] = row.y;
// CHECK-NEXT: 4
outputBuffer[4] = row3.y;
// CHECK-NEXT: 2
outputBuffer[5] = mat_scalar[0][0];
// CHECK-NEXT: 2
outputBuffer[6] = mat_add[0][0];
// CHECK-NEXT: 3
outputBuffer[7] = mat_sub[0][0];
// CHECK-NEXT: 1
outputBuffer[8] = mat_mul[1][1];
// CHECK-NEXT: 28
outputBuffer[9] = added;
// CHECK-NEXT: 10
outputBuffer[10] = wrapper.mat1[0][0] * wrapper.mat2[0][0];
// CHECK-NEXT: 5
// Matrix intrinsic operation results
outputBuffer[11] = det2x2;
// CHECK-NEXT: 2
outputBuffer[12] = det3x3;
// CHECK-NEXT: 0
outputBuffer[13] = mat_min[0][0];
// CHECK-NEXT: 1
outputBuffer[14] = mat_min[1][1];
// CHECK-NEXT: 4
outputBuffer[15] = mat_max[0][0];
// CHECK-NEXT: 2
outputBuffer[16] = mat_max[1][1];
// CHECK-NEXT: 7
outputBuffer[17] = all_nonzero;
// CHECK-NEXT: 1
outputBuffer[18] = all_zero;
// CHECK-NEXT: 0
outputBuffer[19] = any_nonzero;
// CHECK-NEXT: 1
outputBuffer[20] = any_zero;
// CHECK-NEXT: 0
outputBuffer[21] = trans2x2[0][0];
// CHECK-NEXT: 1
outputBuffer[22] = trans2x2[1][0];
// CHECK-NEXT: 2
outputBuffer[23] = trans2x3[0][0];
// CHECK-NEXT: 5
// Bit shift operation results
outputBuffer[24] = left_shift[0][0];
// CHECK-NEXT: 2
outputBuffer[25] = left_shift[0][1];
// CHECK-NEXT: 4
outputBuffer[26] = right_shift[1][0];
// CHECK-NEXT: 2
outputBuffer[27] = right_shift[1][1];
// CHECK-NEXT: 4
// Comparison operation results (bool matrices cast to TYPE)
outputBuffer[28] = TYPE(less_than[0][0]);
// CHECK-NEXT: 1
outputBuffer[29] = TYPE(less_than[0][1]);
// CHECK-NEXT: 0
outputBuffer[30] = TYPE(greater_than[0][1]);
// CHECK-NEXT: 1
outputBuffer[31] = TYPE(greater_than[1][1]);
// CHECK-NEXT: 1
outputBuffer[32] = TYPE(less_equal[0][0]);
// CHECK-NEXT: 1
outputBuffer[33] = TYPE(less_equal[0][1]);
// CHECK-NEXT: 0
outputBuffer[34] = TYPE(greater_equal[0][1]);
// CHECK-NEXT: 1
outputBuffer[35] = TYPE(greater_equal[1][0]);
// CHECK-NEXT: 0
outputBuffer[36] = TYPE(equal_to[0][0]);
// CHECK-NEXT: 0
outputBuffer[37] = TYPE(not_equal[0][0]);
// CHECK-NEXT: 1
outputBuffer[38] = TYPE(negated[0][0] == expectedBuffer[0]);
// CHECK-NEXT: 1
outputBuffer[39] = TYPE(negated[1][1] == expectedBuffer[1]);
// CHECK-NEXT: 1
}
|
