Coverage Report

Created: 2021-04-07 21:56

/home/liu/buildslave/linux-x64-runtests/build/test/int/nnc/compare.tests.c
Line
Count
Source
1
#include "case.h"
2
#include "ccv_case.h"
3
#include "ccv_nnc_case.h"
4
#include <ccv.h>
5
#include <nnc/ccv_nnc.h>
6
#include <nnc/ccv_nnc_easy.h>
7
#include <3rdparty/dsfmt/dSFMT.h>
8
9
TEST_SETUP()
10
{
11
  ccv_nnc_init();
12
}
13
14
TEST_CASE("min forward")
15
{
16
  GUARD_ELSE_RETURN(ccv_nnc_cmd_ok(CCV_NNC_MIN_FORWARD, CCV_NNC_BACKEND_GPU_REF));
17
  ccv_nnc_tensor_t* a = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
18
  ccv_nnc_tensor_t* b = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
19
  ccv_nnc_tensor_t* c = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
20
  ccv_nnc_tensor_t* ha = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
21
  ccv_nnc_tensor_t* hb = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
22
  ccv_nnc_tensor_t* hc = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
23
  ccv_nnc_tensor_t* ct = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
24
  dsfmt_t dsfmt;
25
  dsfmt_init_gen_rand(&dsfmt, 0);
26
  int i = 0;
27
  for (i = 0; i < 1000; i++)
28
    ha->data.f32[i] = dsfmt_genrand_open_close(&dsfmt) * 10 - 1;
29
  for (i = 0; i < 1000; i++)
30
    hb->data.f32[i] = dsfmt_genrand_open_close(&dsfmt) * 10 - 1;
31
  ccv_nnc_cmd_exec(CMD_DATA_TRANSFER_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(ha, hb), TENSOR_LIST(a, b), 0);
32
  ccv_nnc_cmd_exec(CMD_MIN_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(a, b), TENSOR_LIST(c), 0);
33
  ccv_nnc_cmd_exec(CMD_MIN_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(ha, hb), TENSOR_LIST(ct), 0);
34
  ccv_nnc_cmd_exec(CMD_DATA_TRANSFER_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(c), TENSOR_LIST(hc), 0);
35
  REQUIRE_TENSOR_EQ(ct, hc, "GPU computed output should be the same as CPU computed ones");
36
  ccv_nnc_tensor_free(a);
37
  ccv_nnc_tensor_free(b);
38
  ccv_nnc_tensor_free(c);
39
  ccv_nnc_tensor_free(ha);
40
  ccv_nnc_tensor_free(hb);
41
  ccv_nnc_tensor_free(hc);
42
  ccv_nnc_tensor_free(ct);
43
}
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45
TEST_CASE("max forward")
46
1
{
47
1
  GUARD_ELSE_RETURN(ccv_nnc_cmd_ok(CCV_NNC_MAX_FORWARD, CCV_NNC_BACKEND_GPU_REF));
48
1
  ccv_nnc_tensor_t* a = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
49
1
  ccv_nnc_tensor_t* b = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
50
1
  ccv_nnc_tensor_t* c = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
51
1
  ccv_nnc_tensor_t* ha = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
52
1
  ccv_nnc_tensor_t* hb = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
53
1
  ccv_nnc_tensor_t* hc = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
54
1
  ccv_nnc_tensor_t* ct = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
55
1
  dsfmt_t dsfmt;
56
1
  dsfmt_init_gen_rand(&dsfmt, 0);
57
1
  int i = 0;
58
1.00k
  for (i = 0; i < 1000; 
i++1.00k
)
59
1.00k
    ha->data.f32[i] = dsfmt_genrand_open_close(&dsfmt) * 10 - 1;
60
1.00k
  for (i = 0; i < 1000; 
i++1.00k
)
61
1.00k
    hb->data.f32[i] = dsfmt_genrand_open_close(&dsfmt) * 10 - 1;
62
1
  ccv_nnc_cmd_exec(CMD_DATA_TRANSFER_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(ha, hb), TENSOR_LIST(a, b), 0);
63
1
  ccv_nnc_cmd_exec(CMD_MAX_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(a, b), TENSOR_LIST(c), 0);
64
1
  ccv_nnc_cmd_exec(CMD_MAX_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(ha, hb), TENSOR_LIST(ct), 0);
65
1
  ccv_nnc_cmd_exec(CMD_DATA_TRANSFER_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(c), TENSOR_LIST(hc), 0);
66
1
  REQUIRE_TENSOR_EQ(ct, hc, "GPU computed output should be the same as CPU computed ones");
67
1
  ccv_nnc_tensor_free(a);
68
1
  ccv_nnc_tensor_free(b);
69
1
  ccv_nnc_tensor_free(c);
70
1
  ccv_nnc_tensor_free(ha);
71
1
  ccv_nnc_tensor_free(hb);
72
1
  ccv_nnc_tensor_free(hc);
73
1
  ccv_nnc_tensor_free(ct);
74
1
}
75
76
TEST_CASE("min backward")
77
1
{
78
1
  GUARD_ELSE_RETURN(ccv_nnc_cmd_ok(CCV_NNC_MIN_FORWARD, CCV_NNC_BACKEND_GPU_REF) &&
79
1
    ccv_nnc_cmd_ok(CCV_NNC_MIN_BACKWARD, CCV_NNC_BACKEND_GPU_REF));
80
1
  ccv_nnc_tensor_t* a = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
81
1
  ccv_nnc_tensor_t* b = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
82
1
  ccv_nnc_tensor_t* g = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
83
1
  ccv_nnc_tensor_t* da = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
84
1
  ccv_nnc_tensor_t* db = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
85
1
  ccv_nnc_tensor_t* ha = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
86
1
  ccv_nnc_tensor_t* hb = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
87
1
  ccv_nnc_tensor_t* hda = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
88
1
  ccv_nnc_tensor_t* hdb = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
89
1
  ccv_nnc_tensor_t* hg = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
90
1
  ccv_nnc_tensor_t* dat = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
91
1
  ccv_nnc_tensor_t* dbt = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
92
1
  dsfmt_t dsfmt;
93
1
  dsfmt_init_gen_rand(&dsfmt, 0);
94
1
  int i = 0;
95
1.00k
  for (i = 0; i < 1000; 
i++1.00k
)
96
1.00k
    ha->data.f32[i] = dsfmt_genrand_open_close(&dsfmt) * 10;
97
1.00k
  for (i = 0; i < 1000; 
i++1.00k
)
98
1.00k
    hb->data.f32[i] = dsfmt_genrand_open_close(&dsfmt) * 10;
99
1.00k
  for (i = 0; i < 1000; 
i++1.00k
)
100
1.00k
    hg->data.f32[i] = dsfmt_genrand_open_close(&dsfmt);
101
1
  ccv_nnc_cmd_exec(CMD_DATA_TRANSFER_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(ha, hb, hg), TENSOR_LIST(a, b, g), 0);
102
1
  ccv_nnc_cmd_exec(CMD_MIN_BACKWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(g, a, b), TENSOR_LIST(da, db), 0);
103
1
  ccv_nnc_cmd_exec(CMD_MIN_BACKWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(hg, ha, hb), TENSOR_LIST(dat, dbt), 0);
104
1
  ccv_nnc_cmd_exec(CMD_DATA_TRANSFER_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(da, db), TENSOR_LIST(hda, hdb), 0);
105
1
  REQUIRE_TENSOR_EQ(dat, hda, "GPU computed output should be the same as CPU computed ones");
106
1
  REQUIRE_TENSOR_EQ(dbt, hdb, "GPU computed output should be the same as CPU computed ones");
107
1
  ccv_nnc_tensor_free(a);
108
1
  ccv_nnc_tensor_free(b);
109
1
  ccv_nnc_tensor_free(g);
110
1
  ccv_nnc_tensor_free(da);
111
1
  ccv_nnc_tensor_free(db);
112
1
  ccv_nnc_tensor_free(ha);
113
1
  ccv_nnc_tensor_free(hb);
114
1
  ccv_nnc_tensor_free(hg);
115
1
  ccv_nnc_tensor_free(hda);
116
1
  ccv_nnc_tensor_free(hdb);
117
1
  ccv_nnc_tensor_free(dat);
118
1
  ccv_nnc_tensor_free(dbt);
119
1
}
120
121
TEST_CASE("max backward")
122
1
{
123
1
  GUARD_ELSE_RETURN(ccv_nnc_cmd_ok(CCV_NNC_MAX_FORWARD, CCV_NNC_BACKEND_GPU_REF) &&
124
1
    ccv_nnc_cmd_ok(CCV_NNC_MAX_BACKWARD, CCV_NNC_BACKEND_GPU_REF));
125
1
  ccv_nnc_tensor_t* a = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
126
1
  ccv_nnc_tensor_t* b = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
127
1
  ccv_nnc_tensor_t* g = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
128
1
  ccv_nnc_tensor_t* da = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
129
1
  ccv_nnc_tensor_t* db = ccv_nnc_tensor_new(0, GPU_TENSOR_NCHW(000, 32F, 10, 100), 0);
130
1
  ccv_nnc_tensor_t* ha = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
131
1
  ccv_nnc_tensor_t* hb = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
132
1
  ccv_nnc_tensor_t* hda = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
133
1
  ccv_nnc_tensor_t* hdb = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
134
1
  ccv_nnc_tensor_t* hg = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
135
1
  ccv_nnc_tensor_t* dat = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
136
1
  ccv_nnc_tensor_t* dbt = ccv_nnc_tensor_new(0, CPU_TENSOR_NCHW(32F, 10, 100), 0);
137
1
  dsfmt_t dsfmt;
138
1
  dsfmt_init_gen_rand(&dsfmt, 0);
139
1
  int i = 0;
140
1.00k
  for (i = 0; i < 1000; 
i++1.00k
)
141
1.00k
    ha->data.f32[i] = dsfmt_genrand_open_close(&dsfmt) * 10;
142
1.00k
  for (i = 0; i < 1000; 
i++1.00k
)
143
1.00k
    hb->data.f32[i] = dsfmt_genrand_open_close(&dsfmt) * 10;
144
1.00k
  for (i = 0; i < 1000; 
i++1.00k
)
145
1.00k
    hg->data.f32[i] = dsfmt_genrand_open_close(&dsfmt);
146
1
  ccv_nnc_cmd_exec(CMD_DATA_TRANSFER_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(ha, hb, hg), TENSOR_LIST(a, b, g), 0);
147
1
  ccv_nnc_cmd_exec(CMD_MAX_BACKWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(g, a, b), TENSOR_LIST(da, db), 0);
148
1
  ccv_nnc_cmd_exec(CMD_MAX_BACKWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(hg, ha, hb), TENSOR_LIST(dat, dbt), 0);
149
1
  ccv_nnc_cmd_exec(CMD_DATA_TRANSFER_FORWARD(), ccv_nnc_no_hint, 0, TENSOR_LIST(da, db), TENSOR_LIST(hda, hdb), 0);
150
1
  REQUIRE_TENSOR_EQ(dat, hda, "GPU computed output should be the same as CPU computed ones");
151
1
  REQUIRE_TENSOR_EQ(dbt, hdb, "GPU computed output should be the same as CPU computed ones");
152
1
  ccv_nnc_tensor_free(a);
153
1
  ccv_nnc_tensor_free(b);
154
1
  ccv_nnc_tensor_free(g);
155
1
  ccv_nnc_tensor_free(da);
156
1
  ccv_nnc_tensor_free(db);
157
1
  ccv_nnc_tensor_free(ha);
158
1
  ccv_nnc_tensor_free(hb);
159
1
  ccv_nnc_tensor_free(hg);
160
1
  ccv_nnc_tensor_free(hda);
161
1
  ccv_nnc_tensor_free(hdb);
162
1
  ccv_nnc_tensor_free(dat);
163
1
  ccv_nnc_tensor_free(dbt);
164
1
}
165
166
#include "case_main.h"