File size: 6,950 Bytes
9c7229f
 
 
 
 
de45020
9c7229f
 
4869015
87b0b09
d580bab
 
9c7229f
 
 
 
 
d580bab
 
9c7229f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c06c727
9c7229f
 
 
 
 
 
 
 
 
 
 
 
 
 
5ebf54e
d996dc6
 
9c7229f
 
 
 
 
6cda441
9c7229f
 
c88d268
9c7229f
c88d268
ef4d84d
d01ba67
ae93d06
9c7229f
b3416eb
9c7229f
b3416eb
9c7229f
ae93d06
9c7229f
863415e
9c7229f
 
8fbb0f5
9c7229f
 
 
c06c727
 
 
d01ba67
c06c727
 
 
 
 
 
 
 
d01ba67
ae93d06
 
d01ba67
 
 
 
 
 
ae93d06
 
c06c727
 
 
 
d01ba67
 
c06c727
d01ba67
c06c727
 
 
9c7229f
 
 
d01ba67
9c7229f
 
 
 
 
 
 
 
d01ba67
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ae93d06
d01ba67
 
 
 
 
 
 
 
 
9c7229f
 
 
d01ba67
9c7229f
 
 
d01ba67
 
9c7229f
d01ba67
9c7229f
 
 
d01ba67
9c7229f
 
 
 
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
{
    "config": {
        "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "library": "transformers",
            "model_type": "bert",
            "model": "google-bert/bert-base-uncased",
            "processor": "google-bert/bert-base-uncased",
            "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": 1,
                "num_choices": 2,
                "sequence_length": 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": 16766.7712,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.15",
            "optimum_benchmark_version": "0.5.0",
            "optimum_benchmark_commit": "3878a484586671dc5d651a3d7832a31a5aaf4796",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.34.2",
            "accelerate_commit": null,
            "diffusers_version": "0.30.3",
            "diffusers_commit": null,
            "optimum_version": "1.22.0",
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 971.93984,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    4.586199890999978
                ],
                "count": 1,
                "total": 4.586199890999978,
                "mean": 4.586199890999978,
                "p50": 4.586199890999978,
                "p90": 4.586199890999978,
                "p95": 4.586199890999978,
                "p99": 4.586199890999978,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 5.242267006666611e-05,
                "ram": 2.1922896709450107e-06,
                "gpu": 0,
                "total": 5.4614959737611116e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 886.480896,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.044693262999999206,
                    0.04507297399999288,
                    0.04333312100004605,
                    0.04477048799998329,
                    0.0446980520000011,
                    0.044977113999948415,
                    0.045301029999961884,
                    0.03966512499999908,
                    0.03935151799998948,
                    0.03866310199998679,
                    0.03941330399999288,
                    0.039044445000001815,
                    0.04084577100002207,
                    0.03906218800000261,
                    0.03869092399997953,
                    0.03995209100003194,
                    0.039498261999995066,
                    0.03956286300001466,
                    0.03964399599999524,
                    0.039761976000022514,
                    0.03937434099998427,
                    0.03938892799999394,
                    0.039217307000001256,
                    0.041565345999970305,
                    0.04054760499997201
                ],
                "count": 25,
                "total": 1.0260951339998883,
                "mean": 0.04104380535999553,
                "p50": 0.03966512499999908,
                "p90": 0.04489446359996237,
                "p95": 0.04505380199998399,
                "p99": 0.045246296559969326,
                "stdev": 0.0023746746968090204,
                "stdev_": 5.785707918602407
            },
            "throughput": {
                "unit": "samples/s",
                "value": 24.36421260721301
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.5323462688034055e-06,
                "ram": 6.407557269558866e-08,
                "gpu": 0.0,
                "total": 1.596421841498994e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 626400.8509561789
            }
        }
    }
}