File size: 4,954 Bytes
81d74b0
 
 
 
 
 
 
 
19cbfee
48a870b
 
81d74b0
 
 
 
 
48a870b
 
 
81d74b0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
83108dc
 
81d74b0
 
 
 
 
0255d7e
81d74b0
 
48a870b
81d74b0
 
f7818d9
8d6f2a1
 
81d74b0
19cbfee
81d74b0
 
 
 
 
ea2de3b
81d74b0
 
 
 
 
 
 
 
 
8d6f2a1
81d74b0
 
 
 
 
 
 
6480600
8d6f2a1
 
 
 
 
 
 
81d74b0
8d6f2a1
 
 
 
81d74b0
 
 
 
8d6f2a1
81d74b0
 
 
8d6f2a1
 
81d74b0
8d6f2a1
81d74b0
 
 
8d6f2a1
81d74b0
 
 
 
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
{
    "config": {
        "name": "cpu_inference_transformers_image-classification_google/vit-base-patch16-224",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "image-classification",
            "library": "transformers",
            "model": "google/vit-base-patch16-224",
            "processor": "google/vit-base-patch16-224",
            "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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
            "transformers_version": "4.41.1",
            "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": 808.353792,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 4,
                "total": 1.0315365330000645,
                "mean": 0.25788413325001613,
                "stdev": 0.014197077455522298,
                "p50": 0.264373927500003,
                "p90": 0.2678762712000264,
                "p95": 0.2685626451000275,
                "p99": 0.2691117442200283,
                "values": [
                    0.26407466199998453,
                    0.26467319300002146,
                    0.2692490190000285,
                    0.23353965900003004
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 3.8777104562323337
            },
            "energy": {
                "unit": "kWh",
                "cpu": 9.132592942979603e-06,
                "ram": 3.816812200976756e-07,
                "gpu": 0.0,
                "total": 9.514274163077278e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 105105.23271241975
            }
        }
    }
}