File size: 6,185 Bytes
6b3d8f4
 
 
 
 
dd15836
6b3d8f4
 
872763c
ea28247
382b825
 
6b3d8f4
 
 
 
 
382b825
 
6b3d8f4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dd15836
 
 
6b3d8f4
 
 
db25ece
6b3d8f4
 
 
 
 
 
 
 
 
 
 
 
 
 
3ce056a
464d9b0
 
6b3d8f4
 
 
 
 
e126834
6b3d8f4
 
dd15836
6b3d8f4
4967122
5f48d0e
e126834
dd15836
6b3d8f4
dd15836
6b3d8f4
dd15836
6b3d8f4
e2aeeba
6b3d8f4
dd15836
6b3d8f4
 
b2f687c
bf236e2
 
 
6b3d8f4
 
db25ece
 
 
e126834
db25ece
 
 
 
 
 
 
74cb0d1
e126834
82663ae
 
e126834
 
 
 
 
 
82663ae
 
db25ece
 
e2aeeba
db25ece
 
6b3d8f4
 
 
e126834
6b3d8f4
 
 
 
 
 
 
 
e126834
 
 
 
 
 
 
 
 
 
82663ae
ca437ab
e126834
 
 
 
 
 
 
 
6b3d8f4
 
 
e126834
6b3d8f4
 
 
e126834
 
6b3d8f4
e126834
6b3d8f4
 
 
e126834
6b3d8f4
 
 
 
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
{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.5.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "library": "transformers",
            "model_type": "roberta",
            "model": "FacebookAI/roberta-base",
            "processor": "FacebookAI/roberta-base",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": true,
            "device_map": null,
            "torch_dtype": null,
            "eval_mode": true,
            "to_bettertransformer": false,
            "low_cpu_mem_usage": null,
            "attn_implementation": null,
            "cache_implementation": null,
            "autocast_enabled": false,
            "autocast_dtype": null,
            "torch_compile": false,
            "torch_compile_target": "forward",
            "torch_compile_config": {},
            "quantization_scheme": null,
            "quantization_config": {},
            "deepspeed_inference": false,
            "deepspeed_inference_config": {},
            "peft_type": null,
            "peft_config": {}
        },
        "scenario": {
            "name": "inference",
            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
            "iterations": 1,
            "duration": 1,
            "warmup_runs": 1,
            "input_shapes": {
                "batch_size": 2,
                "sequence_length": 16,
                "num_choices": 2
            },
            "new_tokens": null,
            "memory": true,
            "latency": true,
            "energy": true,
            "forward_kwargs": {},
            "generate_kwargs": {
                "max_new_tokens": 2,
                "min_new_tokens": 2
            },
            "call_kwargs": {
                "num_inference_steps": 2
            }
        },
        "launcher": {
            "name": "process",
            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
            "device_isolation": false,
            "device_isolation_action": null,
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.338112,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.15",
            "optimum_benchmark_version": "0.5.0.dev0",
            "optimum_benchmark_commit": "7f5d48690ca4e72398f773487e70a5e7bfdf8cfd",
            "transformers_version": "4.46.3",
            "transformers_commit": null,
            "accelerate_version": "1.1.1",
            "accelerate_commit": null,
            "diffusers_version": "0.31.0",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.11",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 965.681152,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.2147770490000198
                ],
                "count": 1,
                "total": 1.2147770490000198,
                "mean": 1.2147770490000198,
                "p50": 1.2147770490000198,
                "p90": 1.2147770490000198,
                "p95": 1.2147770490000198,
                "p99": 1.2147770490000198,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 982.736896,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.1078135249999832,
                    0.10582111500002611,
                    0.10523831900002278,
                    0.10480770800000982,
                    0.10488806600000089,
                    0.10845160299999179,
                    0.10590035199999193,
                    0.10581524399998443,
                    0.10889986700004783,
                    0.10460733299998992
                ],
                "count": 10,
                "total": 1.0622431320000487,
                "mean": 0.10622431320000487,
                "p50": 0.10581817950000527,
                "p90": 0.1084964293999974,
                "p95": 0.10869814820002262,
                "p99": 0.10885952324004279,
                "stdev": 0.0014986325698794875,
                "stdev_": 1.4108187897226327
            },
            "throughput": {
                "unit": "samples/s",
                "value": 18.828081253246534
            },
            "energy": {
                "unit": "kWh",
                "cpu": 3.623231832323274e-06,
                "ram": 1.514207708132045e-07,
                "gpu": 0.0,
                "total": 3.7746526031364788e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 529850.0843066025
            }
        }
    }
}