File size: 6,674 Bytes
fbe43dc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
    "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": {},
            "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": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7742 64-Core Processor",
            "cpu_count": 128,
            "cpu_ram_mb": 540671.660032,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.4.0-166-generic-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": null,
            "transformers_version": "4.44.0",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.0",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.8",
            "timm_commit": null,
            "peft_version": "0.12.0",
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 1151.397888,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 5.6544026443734765,
                "mean": 5.6544026443734765,
                "stdev": 0.0,
                "p50": 5.6544026443734765,
                "p90": 5.6544026443734765,
                "p95": 5.6544026443734765,
                "p99": 5.6544026443734765,
                "values": [
                    5.6544026443734765
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 7.061859659734182e-05,
                "ram": 0.00011851926982850335,
                "gpu": 0,
                "total": 0.00018913786642584516
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1176.891392,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 20,
                "total": 1.0225391909480095,
                "mean": 0.05112695954740047,
                "stdev": 0.0008458426488399909,
                "p50": 0.05117947608232498,
                "p90": 0.052300562523305415,
                "p95": 0.052408567350357774,
                "p99": 0.052790537234395744,
                "values": [
                    0.05070034321397543,
                    0.04961557872593403,
                    0.051226950250566006,
                    0.05080100242048502,
                    0.051390727050602436,
                    0.05064002051949501,
                    0.052383437752723694,
                    0.050533270463347435,
                    0.050114174373447895,
                    0.049904901534318924,
                    0.05113200191408396,
                    0.05041260365396738,
                    0.05147740989923477,
                    0.05035402253270149,
                    0.05142404977232218,
                    0.05190158449113369,
                    0.051676332019269466,
                    0.05167339649051428,
                    0.052886029705405235,
                    0.05229135416448116
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 19.559152526425652
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.6079258959507571e-06,
                "ram": 2.6979565903357432e-06,
                "gpu": 0.0,
                "total": 4.3058824862865e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 232240.42996640736
            }
        }
    }
}