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
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
|
#include <stdio.h>
#include <curand.h>
// Define some error checking macros.
#define cudaErrCheck(stat) { cudaErrCheck_((stat), __FILE__, __LINE__); }
void cudaErrCheck_(cudaError_t stat, const char *file, int line) {
if (stat != cudaSuccess) {
fprintf(stderr, "CUDA Error: %s %s %d\n", cudaGetErrorString(stat), file, line);
}
}
#define curandErrCheck(stat) { curandErrCheck_((stat), __FILE__, __LINE__); }
void curandErrCheck_(curandStatus_t stat, const char *file, int line) {
if (stat != CURAND_STATUS_SUCCESS) {
fprintf(stderr, "cuRand Error: %d %s %d\n", stat, file, line);
}
}
#include <mma.h>
using namespace nvcuda;
// Must be multiples of 16 for wmma code to work
#define MATRIX_M (16)
#define MATRIX_N (16)
#define MATRIX_K (16)
// The only dimensions currently supported by WMMA
const int WMMA_M = 16;
const int WMMA_N = 16;
const int WMMA_K = 16;
__global__ void wmma_example(half *a, half *b, float *c,float *d_fp16, int M, int N, int K) {
//unsigned int start_time=0,end_time=0;
//start_time=clock();
// Declare the fragments
wmma::fragment<wmma::matrix_a, WMMA_M, WMMA_N, WMMA_K, half, wmma::col_major> a_frag;
wmma::fragment<wmma::matrix_b, WMMA_M, WMMA_N, WMMA_K, half, wmma::col_major> b_frag;
wmma::fragment<wmma::accumulator, WMMA_M, WMMA_N, WMMA_K, float> c_frag;
// Bounds checking
wmma::load_matrix_sync(a_frag, a, K);
wmma::load_matrix_sync(b_frag, b, K);
wmma::load_matrix_sync(c_frag, c, N,wmma::mem_col_major);
wmma::mma_sync(c_frag, a_frag, b_frag, c_frag);
wmma::store_matrix_sync(d_fp16, c_frag, N, wmma::mem_col_major);
//printf("clock=%d",end_time-start_time);
}
__global__ void convertFp32ToFp16 (half *out, float *in, int n) {
int idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < n) {
out[idx] = in[idx];
}
}
__global__ void convertFp16ToFp32 (float *out, half *in, int n) {
int idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < n) {
out[idx] = in[idx];
}
}
__global__ void convertInt32ToInt8 (int *out, int *in, int n) {
int idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < n/4) {
out[idx] =(in[4*idx]&0xff)|(in[4*idx+1]&0xff)<<8|(in[4*idx+2]&0xff)<<16|(in[4*idx+3]&0xff)<<24;
}
}
__global__ void convertInt8ToInt32 (int *out, int *in, int n) {
int idx = blockDim.x * blockIdx.x + threadIdx.x;
int shft_amt=8*(idx%4);
int shft_mask=0xff<<shft_amt;
if (idx < n) {
out[idx]= (in[idx/4]&shft_mask)>>shft_amt;
}
}
int main(int argc, char* argv[]) {
int *a_int32;
int *b_int32;
int *c_int32;
int *d_int32;
int *a_int8;
int *b_int8;
int *a_host_wmma;
int *b_host_wmma;
int *c_host_wmma;
int *d_host_wmma;
int *d_cal_host_wmma;
cudaEvent_t startWMMA;
cudaEvent_t stopWMMA;
cudaErrCheck(cudaEventCreate(&startWMMA));
cudaErrCheck(cudaEventCreate(&stopWMMA));
// Use tensor cores
cudaErrCheck(cudaMalloc((void**)&a_int32, MATRIX_M * MATRIX_K * sizeof(int)));
cudaErrCheck(cudaMalloc((void**)&b_int32, MATRIX_K * MATRIX_N * sizeof(int)));
cudaErrCheck(cudaMalloc((void**)&c_int32, MATRIX_K * MATRIX_N * sizeof(int)));
cudaErrCheck(cudaMalloc((void**)&d_int32, MATRIX_K * MATRIX_N * sizeof(int)));
cudaErrCheck(cudaMalloc((void**)&a_int8, MATRIX_M * MATRIX_K * sizeof(int)/4));
cudaErrCheck(cudaMalloc((void**)&b_int8, MATRIX_K * MATRIX_N * sizeof(int)/4));
a_host_wmma = (int *)malloc(MATRIX_M * MATRIX_K * sizeof(int));
b_host_wmma = (int *)malloc(MATRIX_K * MATRIX_N * sizeof(int));
c_host_wmma = (int *)malloc(MATRIX_M * MATRIX_N * sizeof(int));
d_host_wmma = (int *)malloc(MATRIX_M * MATRIX_N * sizeof(int));
d_cal_host_wmma = (int *)malloc(MATRIX_M * MATRIX_N * sizeof(int));
printf("a_int32\n");
for(int m=0;m<MATRIX_M;m++){
for(int n=0;n<MATRIX_K;n++){
a_host_wmma[m*MATRIX_K+n]=(m*MATRIX_K+n)%16;
printf("%d ",a_host_wmma[m*MATRIX_K+n]);
}
printf(";\n");
}
printf("b_int32\n");
for(int m=0;m<MATRIX_K;m++){
for(int n=0;n<MATRIX_N;n++){
b_host_wmma[m*MATRIX_N+n]=(m*MATRIX_N+n)%2;
printf("%d ",b_host_wmma[m*MATRIX_N+n]);
}
printf(";\n");
}
printf("c_int32\n");
for(int m=0;m<MATRIX_M;m++){
for(int n=0;n<MATRIX_N;n++){
c_host_wmma[m*MATRIX_N+n]=(m*MATRIX_N+n)%2;
d_cal_host_wmma[m*MATRIX_N+n]=0;
printf("%d ",c_host_wmma[m*MATRIX_N+n]);
}
printf(";\n");
}
for(int m=0;m<MATRIX_M;m++){
for(int n=0;n<MATRIX_N;n++){
for(int k=0;k<MATRIX_K;k++){
d_cal_host_wmma[m*MATRIX_N+n]+= a_host_wmma[m*MATRIX_K+k]*b_host_wmma[k*MATRIX_K+n];
}
d_cal_host_wmma[m*MATRIX_N+n]+=c_host_wmma[m*MATRIX_N+n];
}
}
cudaErrCheck(cudaMemcpy(a_int32,a_host_wmma, MATRIX_M * MATRIX_K * sizeof(int), cudaMemcpyHostToDevice));
cudaErrCheck(cudaMemcpy(b_int32,b_host_wmma, MATRIX_K * MATRIX_N * sizeof(int), cudaMemcpyHostToDevice));
cudaErrCheck(cudaMemcpy(c_int32,c_host_wmma, MATRIX_M * MATRIX_N * sizeof(int), cudaMemcpyHostToDevice));
convertInt32ToInt8 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (a_int8, a_int32, MATRIX_M * MATRIX_K);
convertInt8ToInt32 <<< (MATRIX_M * MATRIX_K + 255) / 256, 256 >>> (d_int32, a_int8, MATRIX_M * MATRIX_K);
//convertFp32ToFp16 <<< (MATRIX_K * MATRIX_N + 255) / 256, 256 >>> (b_fp16, b_fp32, MATRIX_K * MATRIX_N);
//convertFp32ToFp16 <<< (MATRIX_M * MATRIX_N + 255) / 256, 256 >>> (c_fp16, c_fp32, MATRIX_K * MATRIX_N);
cudaErrCheck(cudaMemcpy(d_host_wmma, d_int32, MATRIX_M * MATRIX_N * sizeof(float), cudaMemcpyDeviceToHost));
//AAMIR printf("\nM = %d, N = %d, K = %d. \n", MATRIX_M, MATRIX_N, MATRIX_K);
//AAMIR
//AAMIR printf("Running with wmma...\n");
//AAMIR cudaErrCheck(cudaEventRecord(startWMMA));
//AAMIR wmma_example <<< 1, 32>>> (a_fp16, b_fp16, c_fp32, d_fp32 , MATRIX_M, MATRIX_N, MATRIX_K);
//AAMIR cudaErrCheck(cudaEventRecord(stopWMMA));
//AAMIR cudaErrCheck(cudaEventSynchronize(stopWMMA));
//AAMIR
//AAMIR // Error checking
//AAMIR printf("\nChecking results...\n");
//AAMIR cudaErrCheck(cudaMemcpy(d_host_wmma, d_fp32, MATRIX_M * MATRIX_N * sizeof(float), cudaMemcpyDeviceToHost));
//AAMIR
//AAMIR printf("Results verified: cublas and WMMA agree.\n\n");
//AAMIR float wmmaTime;
//AAMIR cudaErrCheck(cudaEventElapsedTime(&wmmaTime, startWMMA, stopWMMA));
//AAMIR printf("wmma took %fms\n", wmmaTime);
//AAMIR
//AAMIR cudaErrCheck(cudaEventDestroy(startWMMA));
//AAMIR cudaErrCheck(cudaEventDestroy(stopWMMA));
//AAMIR
//AAMIR int t=200000;
//AAMIR while(t-->0);
//AAMIR printf("D_CALCULATED\n");
//AAMIR
//AAMIR for(int m=0;m<MATRIX_M;m++){
//AAMIR for(int n=0;n<MATRIX_N;n++){
//AAMIR printf("%.2f,",d_cal_host_wmma[m*MATRIX_N+n]);
//AAMIR }
//AAMIR printf("\n");
//AAMIR }
printf("D_WMMA\n");
for(int m=0;m<MATRIX_M;m++){
for(int n=0;n<MATRIX_N;n++){
printf("%d,",d_host_wmma[m*MATRIX_N+n]);
}
printf("\n");
}
//AAMIR int suc=1;
//AAMIR for(int m=0;m<MATRIX_M;m++){
//AAMIR for(int n=0;n<MATRIX_N;n++){
//AAMIR if(abs(d_cal_host_wmma[m*MATRIX_N+n]-d_host_wmma[m*MATRIX_N+n])>1)
//AAMIR {
//AAMIR printf("ERROR:\n");
//AAMIR suc=0;
//AAMIR }
//AAMIR }
//AAMIR }
//AAMIR if(suc==1)
//AAMIR printf("COMPLETED_SUCCESSFULLY\n");
//AAMIR
cudaErrCheck(cudaFree(a_int32));
cudaErrCheck(cudaFree(b_int32));
cudaErrCheck(cudaFree(c_int32));
cudaErrCheck(cudaFree(d_int32));
cudaErrCheck(cudaFree(a_int8));
cudaErrCheck(cudaFree(b_int8));
free(a_host_wmma);
free(b_host_wmma);
free(c_host_wmma);
free(d_host_wmma);
cudaErrCheck(cudaDeviceReset());
return 0;
}
|
