File size: 5,108 Bytes
ca6662f
 
 
 
 
b550725
ca6662f
 
18daebf
8264ddb
1e13fe3
 
ca6662f
 
 
 
 
1e13fe3
 
 
ca6662f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
98b597a
 
ca6662f
 
 
 
 
7475f65
ca6662f
 
6927972
ca6662f
 
828cf4c
7475f65
4767e10
ca6662f
6927972
ca6662f
b550725
ca6662f
 
 
b550725
ca6662f
 
 
 
 
 
 
 
 
7475f65
ca6662f
 
 
 
 
 
 
1da36d1
7475f65
 
 
 
 
 
 
ca6662f
7475f65
 
 
 
 
 
 
ca6662f
 
 
 
7475f65
ca6662f
 
 
7475f65
 
ca6662f
7475f65
ca6662f
 
 
7475f65
ca6662f
 
 
 
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
{
    "config": {
        "name": "cpu_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "model_type": "deberta-v2",
            "model": "microsoft/deberta-v3-base",
            "processor": "microsoft/deberta-v3-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",
            "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-6.5.0-1023-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "505b3e98eac8c3f1b6ed5342e4f6e5336d513f21",
            "transformers_version": "4.42.4",
            "transformers_commit": null,
            "accelerate_version": "0.32.1",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.7",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1179.19744,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 7,
                "total": 1.0580472550000195,
                "mean": 0.15114960785714565,
                "stdev": 0.010080884550666505,
                "p50": 0.1567348980000247,
                "p90": 0.16161783739997873,
                "p95": 0.1624459411999794,
                "p99": 0.16310842423997995,
                "values": [
                    0.1567348980000247,
                    0.15836708800003407,
                    0.1605136989999778,
                    0.1632740449999801,
                    0.140608229999998,
                    0.1396239000000037,
                    0.13892539500000112
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 6.615961590486685
            },
            "energy": {
                "unit": "kWh",
                "cpu": 5.3710909353362195e-06,
                "ram": 2.244625059455411e-07,
                "gpu": 0.0,
                "total": 5.595553441281761e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 178713.3320222445
            }
        }
    }
}