File size: 4,989 Bytes
f61cade
 
 
 
 
9a1d154
f61cade
 
22a4551
1e1b836
 
f61cade
 
 
 
 
1e1b836
 
 
f61cade
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
cfef977
 
f61cade
 
 
 
 
5b9e271
f61cade
 
9a1d154
f61cade
b1bc39c
f61cade
 
 
 
 
6d0a101
f61cade
9a1d154
f61cade
9a1d154
f61cade
9a1d154
f61cade
 
 
9a1d154
f61cade
 
 
 
 
 
 
 
 
f25132f
 
f61cade
f25132f
 
f61cade
 
 
 
f25132f
 
 
 
 
 
 
f61cade
f25132f
 
f61cade
 
 
 
f25132f
f61cade
 
 
f25132f
 
 
 
f61cade
 
 
f25132f
f61cade
 
 
 
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
{
    "config": {
        "name": "cuda_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cu121",
            "_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": "cuda",
            "device_ids": "0",
            "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": true,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.293824,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "NVIDIA A10G"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 24146608128,
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": null,
            "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": 1305.214976,
                "max_global_vram": 8204.582912,
                "max_process_vram": 0.0,
                "max_reserved": 7549.7472,
                "max_allocated": 6519.126016
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 1.2919468994140626,
                "mean": 0.6459734497070313,
                "stdev": 0.0013088989257812877,
                "p50": 0.6459734497070313,
                "p90": 0.6470205688476562,
                "p95": 0.6471514587402344,
                "p99": 0.6472561706542969,
                "values": [
                    0.6472823486328125,
                    0.64466455078125
                ]
            },
            "throughput": {
                "unit": "images/s",
                "value": 1.5480512402692874
            },
            "energy": {
                "unit": "kWh",
                "cpu": 7.638247393899493e-06,
                "ram": 4.178251528694119e-06,
                "gpu": 4.056906023299986e-05,
                "total": 5.238555915559347e-05
            },
            "efficiency": {
                "unit": "images/kWh",
                "value": 19089.230240529465
            }
        }
    }
}