File size: 4,797 Bytes
166aa35
 
 
 
 
4329775
166aa35
 
f51ffa6
25ff52f
 
166aa35
 
 
 
 
25ff52f
 
 
166aa35
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3e3331a
 
166aa35
 
 
 
 
35810fa
166aa35
 
4329775
166aa35
 
6621a45
e2e8941
4329775
166aa35
4329775
166aa35
4329775
166aa35
 
 
4329775
166aa35
 
 
 
 
 
 
 
 
e2e8941
166aa35
 
 
 
 
 
 
 
e2e8941
 
166aa35
e2e8941
 
 
 
166aa35
e2e8941
166aa35
 
 
 
e2e8941
166aa35
 
 
e2e8941
 
166aa35
e2e8941
166aa35
 
 
e2e8941
166aa35
 
 
 
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
{
    "config": {
        "name": "cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "stable-diffusion",
            "library": "diffusers",
            "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": {},
            "hub_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,
            "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": 16757.342208,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "79990507b694d513bac81e140baff3af23a6bff7",
            "transformers_version": "4.42.3",
            "transformers_commit": null,
            "accelerate_version": "0.31.0",
            "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": {
        "call": {
            "memory": {
                "unit": "MB",
                "max_ram": 6970.228736,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 49.04292835599995,
                "mean": 49.04292835599995,
                "stdev": 0.0,
                "p50": 49.04292835599995,
                "p90": 49.04292835599995,
                "p95": 49.04292835599995,
                "p99": 49.04292835599995,
                "values": [
                    49.04292835599995
                ]
            },
            "throughput": {
                "unit": "images/s",
                "value": 0.020390299550244115
            },
            "energy": {
                "unit": "kWh",
                "cpu": 0.0019051936480734084,
                "ram": 7.964248143391841e-05,
                "gpu": 0.0,
                "total": 0.001984836129507327
            },
            "efficiency": {
                "unit": "images/kWh",
                "value": 503.81993008572374
            }
        }
    }
}