File size: 5,667 Bytes
9c7229f
 
 
 
 
 
 
 
4869015
d580bab
 
9c7229f
 
 
 
 
d580bab
 
 
9c7229f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f8fa0f5
9c7229f
 
d580bab
9c7229f
274d37a
9c7229f
7093ca7
9c7229f
 
4869015
9c7229f
 
 
 
 
353cdc4
9c7229f
 
 
 
 
 
 
 
 
7093ca7
9c7229f
 
 
 
 
 
 
7093ca7
 
 
 
 
 
 
 
9c7229f
7093ca7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9c7229f
 
 
 
7093ca7
9c7229f
 
 
7093ca7
 
9c7229f
7093ca7
9c7229f
 
 
7093ca7
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
{
    "config": {
        "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "library": "transformers",
            "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": {},
            "hub_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,
            "latency": true,
            "memory": 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": "error",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.354496,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "466c44af5d8cf99af048e74ddb3b2f8ec6606263",
            "transformers_version": "4.40.2",
            "transformers_commit": null,
            "accelerate_version": "0.30.1",
            "accelerate_commit": null,
            "diffusers_version": "0.27.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.3",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 865.185792,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 23,
                "total": 1.0110083340000244,
                "mean": 0.04395688408695758,
                "stdev": 0.0008551537015591361,
                "p50": 0.044120058999993716,
                "p90": 0.04485636339999814,
                "p95": 0.04517276109999955,
                "p99": 0.045808455420017255,
                "values": [
                    0.04446496700001035,
                    0.043363638000016635,
                    0.044406146000000035,
                    0.04274036599997544,
                    0.04368415900000855,
                    0.04372419599999944,
                    0.04425820800000224,
                    0.04403175300001294,
                    0.044120058999993716,
                    0.04208002499998997,
                    0.04520677200000023,
                    0.043481999999983145,
                    0.04345023000001902,
                    0.04431393299998376,
                    0.0429532560000041,
                    0.04416315999998233,
                    0.043431905999995024,
                    0.04481516500001703,
                    0.04424739899999963,
                    0.045978161000022055,
                    0.0428113400000143,
                    0.04441483200000107,
                    0.04486666299999342
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 22.749565188054568
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.4775765776143645e-06,
                "ram": 6.174914029740134e-08,
                "gpu": 0.0,
                "total": 1.539325717911766e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 649635.0891587714
            }
        }
    }
}