File size: 6,091 Bytes
81d74b0
 
 
 
 
8816e43
81d74b0
 
19cbfee
7d2a5a1
48a870b
 
81d74b0
 
 
 
 
48a870b
 
81d74b0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
aa3aa1c
81d74b0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
83108dc
 
81d74b0
 
 
 
 
1bc3e61
81d74b0
 
a8b429f
81d74b0
 
324f955
1bc3e61
3f1ec13
81d74b0
a8b429f
81d74b0
8816e43
81d74b0
 
 
8816e43
81d74b0
 
1bc3e61
 
 
81d74b0
 
 
aa3aa1c
 
 
1bc3e61
aa3aa1c
 
 
 
 
 
 
 
1bc3e61
 
aa3aa1c
1bc3e61
 
 
 
aa3aa1c
1bc3e61
aa3aa1c
 
 
 
 
1bc3e61
 
aa3aa1c
1bc3e61
aa3aa1c
 
 
81d74b0
 
 
1bc3e61
81d74b0
 
 
 
 
 
 
c2cfe3e
1bc3e61
 
 
 
 
 
 
81d74b0
1bc3e61
 
 
 
81d74b0
 
 
 
1bc3e61
81d74b0
 
 
1bc3e61
 
81d74b0
1bc3e61
81d74b0
 
 
1bc3e61
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
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
{
    "config": {
        "name": "cpu_inference_transformers_image-classification_google/vit-base-patch16-224",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "image-classification",
            "library": "transformers",
            "model_type": "vit",
            "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": {},
            "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 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.342208,
            "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": "3b109cf557e2496fe3c954817385781e6dc5cad1",
            "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,
            "llama_cpp_version": null,
            "llama_cpp_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 804.028416,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.357140798999978,
                "mean": 4.357140798999978,
                "stdev": 0.0,
                "p50": 4.357140798999978,
                "p90": 4.357140798999978,
                "p95": 4.357140798999978,
                "p99": 4.357140798999978,
                "values": [
                    4.357140798999978
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.609186119503445e-05,
                "ram": 1.9263994069535783e-06,
                "gpu": 0,
                "total": 4.801826060198803e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 822.247424,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 4,
                "total": 1.030682324000054,
                "mean": 0.2576705810000135,
                "stdev": 0.017982076195128018,
                "p50": 0.26091435450001654,
                "p90": 0.275259664800069,
                "p95": 0.2755972479000775,
                "p99": 0.27586731438008427,
                "values": [
                    0.2736842770000294,
                    0.275934831000086,
                    0.2481444320000037,
                    0.23291878399993493
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 3.880924225493742
            },
            "energy": {
                "unit": "kWh",
                "cpu": 9.062206745147707e-06,
                "ram": 3.787355556555667e-07,
                "gpu": 0.0,
                "total": 9.440942300803273e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 105921.63029265797
            }
        }
    }
}