File size: 5,620 Bytes
6b3d8f4
 
 
 
 
 
 
 
872763c
382b825
 
6b3d8f4
 
 
 
 
382b825
 
 
6b3d8f4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5dc5a8c
6b3d8f4
 
382b825
6b3d8f4
 
5dc5a8c
d6a0513
6b3d8f4
 
872763c
6b3d8f4
 
 
 
 
6f6bc13
6b3d8f4
 
 
 
 
 
 
 
 
d6a0513
6b3d8f4
 
 
 
 
 
 
f8f9349
d6a0513
 
 
 
 
 
 
6b3d8f4
d6a0513
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6b3d8f4
 
 
 
d6a0513
6b3d8f4
 
 
d6a0513
 
6b3d8f4
d6a0513
6b3d8f4
 
 
d6a0513
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
{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "library": "transformers",
            "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": {},
            "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": "0.2.1",
            "optimum_benchmark_commit": "2516ce57a5b64eefeb78dc75a171e0cdff88823e",
            "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": 938.917888,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 22,
                "total": 1.0273196429998848,
                "mean": 0.046696347409085674,
                "stdev": 0.0008036552478715938,
                "p50": 0.04710504700000229,
                "p90": 0.047402426700017486,
                "p95": 0.04757775340000876,
                "p99": 0.04774367529996937,
                "values": [
                    0.04741327800002182,
                    0.04778547999995908,
                    0.047258196999962365,
                    0.04529751199999055,
                    0.04711933900000531,
                    0.04709075499999926,
                    0.04649299999999812,
                    0.04758641000000807,
                    0.04485910400001103,
                    0.04730476499997849,
                    0.04632632900000999,
                    0.04729662899995901,
                    0.047241215999974884,
                    0.047272925000015675,
                    0.04604299199996831,
                    0.047165124000002834,
                    0.0463201879999815,
                    0.04690889699998024,
                    0.04589592799999309,
                    0.047165055000050415,
                    0.0463155699999902,
                    0.04516095000002451
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 21.414951178931624
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.5465011963477505e-06,
                "ram": 6.463150946733374e-08,
                "gpu": 0.0,
                "total": 1.6111327058150842e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 620681.3358022501
            }
        }
    }
}