File size: 5,068 Bytes
ca6662f
 
 
 
 
 
 
 
18daebf
1e13fe3
 
ca6662f
 
 
 
 
1e13fe3
 
 
ca6662f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
98b597a
 
ca6662f
 
 
 
 
6d983cb
ca6662f
 
1e13fe3
ca6662f
 
7746e8a
b03b01f
98b597a
ca6662f
18daebf
ca6662f
 
 
 
 
1f6b128
ca6662f
 
 
 
 
 
 
 
 
b03b01f
ca6662f
 
 
 
 
 
 
8804c86
b03b01f
 
 
 
 
 
 
ca6662f
b03b01f
 
 
 
 
 
 
ca6662f
 
 
 
b03b01f
ca6662f
 
 
b03b01f
 
ca6662f
b03b01f
ca6662f
 
 
b03b01f
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
{
    "config": {
        "name": "cpu_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "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": 16757.354496,
            "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": "dc29eecfd7850e87154a5a92442eb64d237d0070",
            "transformers_version": "4.41.0",
            "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": 1177.088,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 7,
                "total": 1.078173123000056,
                "mean": 0.15402473185715085,
                "stdev": 0.009111555737706112,
                "p50": 0.1589159400000426,
                "p90": 0.16069731360000789,
                "p95": 0.1607776983000008,
                "p99": 0.16084200605999513,
                "values": [
                    0.1599130800000239,
                    0.1589159400000426,
                    0.16059013400001731,
                    0.15855760099998406,
                    0.1608580829999937,
                    0.13953763699998945,
                    0.1398006480000049
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 6.492463826701824
            },
            "energy": {
                "unit": "kWh",
                "cpu": 5.410807993676927e-06,
                "ram": 2.2613305176594876e-07,
                "gpu": 0.0,
                "total": 5.636941045442876e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 177401.18123258345
            }
        }
    }
}