File size: 5,874 Bytes
cb9f4b4
 
 
 
 
 
 
 
 
b77d999
cb9f4b4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5ad9d59
cb9f4b4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9fdcb7f
cb9f4b4
 
 
 
 
 
e063096
cb9f4b4
 
 
 
 
 
 
 
 
 
 
e063096
cb9f4b4
 
 
5ad9d59
 
 
e063096
5ad9d59
 
 
 
 
 
 
 
e063096
 
5ad9d59
e063096
 
 
 
5ad9d59
e063096
5ad9d59
 
 
 
 
e063096
 
5ad9d59
e063096
5ad9d59
 
 
cb9f4b4
 
 
e063096
cb9f4b4
 
 
 
 
 
 
 
e063096
 
cb9f4b4
e063096
 
 
 
cb9f4b4
e063096
cb9f4b4
 
 
 
e063096
cb9f4b4
 
 
e063096
 
cb9f4b4
e063096
cb9f4b4
 
 
e063096
cb9f4b4
 
 
 
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
{
    "config": {
        "name": "cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-to-image",
            "library": "diffusers",
            "model_type": "stable-diffusion",
            "model": "CompVis/stable-diffusion-v1-4",
            "processor": "CompVis/stable-diffusion-v1-4",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": false,
            "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": "61123f7169ae188508e9e8c5ca6b9a54a00965ed",
            "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
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 553.283584,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 22.739170599999966,
                "mean": 22.739170599999966,
                "stdev": 0.0,
                "p50": 22.739170599999966,
                "p90": 22.739170599999966,
                "p95": 22.739170599999966,
                "p99": 22.739170599999966,
                "values": [
                    22.739170599999966
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 0.0007629001935323081,
                "ram": 3.189119782460011e-05,
                "gpu": 0,
                "total": 0.0007947913913569082
            },
            "efficiency": null
        },
        "call": {
            "memory": {
                "unit": "MB",
                "max_ram": 5927.006208,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 49.06551668199995,
                "mean": 49.06551668199995,
                "stdev": 0.0,
                "p50": 49.06551668199995,
                "p90": 49.06551668199995,
                "p95": 49.06551668199995,
                "p99": 49.06551668199995,
                "values": [
                    49.06551668199995
                ]
            },
            "throughput": {
                "unit": "images/s",
                "value": 0.020380912453875317
            },
            "energy": {
                "unit": "kWh",
                "cpu": 0.001915885388851166,
                "ram": 8.008943710674429e-05,
                "gpu": 0.0,
                "total": 0.0019959748259579103
            },
            "efficiency": {
                "unit": "images/kWh",
                "value": 501.00832284799935
            }
        }
    }
}