File size: 5,940 Bytes
81d74b0
 
 
 
 
77fba22
81d74b0
 
19cbfee
7d2a5a1
48a870b
 
81d74b0
 
 
 
 
48a870b
 
81d74b0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
aa3aa1c
81d74b0
 
 
 
 
 
 
 
 
 
 
 
 
 
9749b81
83108dc
 
81d74b0
 
 
 
 
67fbaaa
81d74b0
 
67fbaaa
81d74b0
a6aeea5
d0ad19a
e4da164
c4d8c8c
81d74b0
67fbaaa
81d74b0
ecb29e8
81d74b0
5adcef9
81d74b0
b8b278e
81d74b0
 
558823f
a0fff18
 
 
81d74b0
 
aa3aa1c
 
 
e4da164
aa3aa1c
 
 
 
 
 
 
b86cd83
e4da164
d9b4d3d
 
e4da164
 
 
 
 
 
d9b4d3d
 
aa3aa1c
 
5adcef9
aa3aa1c
 
81d74b0
 
 
e4da164
81d74b0
 
 
 
 
 
 
 
e4da164
 
 
 
d9b4d3d
 
e4da164
 
 
 
 
 
 
 
81d74b0
 
 
e4da164
81d74b0
 
 
e4da164
 
81d74b0
e4da164
81d74b0
 
 
e4da164
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
{
    "config": {
        "name": "cpu_inference_transformers_image-classification_google/vit-base-patch16-224",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+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": null,
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16766.783488,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.8.0-1015-azure-x86_64-with-glibc2.39",
            "processor": "x86_64",
            "python_version": "3.10.15",
            "optimum_benchmark_version": "0.5.0.dev0",
            "optimum_benchmark_commit": "08c9f59440cf4e5a5d6711ec19e8329ab2de652d",
            "transformers_version": "4.45.2",
            "transformers_commit": null,
            "accelerate_version": "1.0.1",
            "accelerate_commit": null,
            "diffusers_version": "0.30.3",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 807.911424,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.158696722000002
                ],
                "count": 1,
                "total": 1.158696722000002,
                "mean": 1.158696722000002,
                "p50": 1.158696722000002,
                "p90": 1.158696722000002,
                "p95": 1.158696722000002,
                "p99": 1.158696722000002,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 826.753024,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.26408713600000056,
                    0.26490086000001156,
                    0.2591085029999931,
                    0.23091204800005016
                ],
                "count": 4,
                "total": 1.0190085470000554,
                "mean": 0.25475213675001385,
                "p50": 0.26159781949999683,
                "p90": 0.2646567428000083,
                "p95": 0.2647788014000099,
                "p99": 0.2648764482800112,
                "stdev": 0.01394154361174185,
                "stdev_": 5.47259143322616
            },
            "throughput": {
                "unit": "samples/s",
                "value": 3.9253841508748235
            },
            "energy": {
                "unit": "kWh",
                "cpu": 9.066084727777543e-06,
                "ram": 3.791149450087479e-07,
                "gpu": 0.0,
                "total": 9.44519967278629e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 105873.88669836395
            }
        }
    }
}