IlyasMoutawwakil HF staff commited on
Commit
166aa35
1 Parent(s): 77ea7ba

Upload cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub

Browse files
cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4/benchmark.json ADDED
@@ -0,0 +1,139 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "cpu_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.3.0+cpu",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "stable-diffusion",
9
+ "model": "CompVis/stable-diffusion-v1-4",
10
+ "library": "diffusers",
11
+ "device": "cpu",
12
+ "device_ids": null,
13
+ "seed": 42,
14
+ "inter_op_num_threads": null,
15
+ "intra_op_num_threads": null,
16
+ "hub_kwargs": {
17
+ "revision": "main",
18
+ "force_download": false,
19
+ "local_files_only": false,
20
+ "trust_remote_code": false
21
+ },
22
+ "no_weights": false,
23
+ "device_map": null,
24
+ "torch_dtype": null,
25
+ "eval_mode": true,
26
+ "to_bettertransformer": false,
27
+ "low_cpu_mem_usage": null,
28
+ "attn_implementation": null,
29
+ "cache_implementation": null,
30
+ "autocast_enabled": false,
31
+ "autocast_dtype": null,
32
+ "torch_compile": false,
33
+ "torch_compile_target": "forward",
34
+ "torch_compile_config": {},
35
+ "quantization_scheme": null,
36
+ "quantization_config": {},
37
+ "deepspeed_inference": false,
38
+ "deepspeed_inference_config": {},
39
+ "peft_type": null,
40
+ "peft_config": {}
41
+ },
42
+ "scenario": {
43
+ "name": "inference",
44
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
45
+ "iterations": 1,
46
+ "duration": 1,
47
+ "warmup_runs": 1,
48
+ "input_shapes": {
49
+ "batch_size": 1,
50
+ "num_choices": 2,
51
+ "sequence_length": 2
52
+ },
53
+ "new_tokens": null,
54
+ "latency": true,
55
+ "memory": true,
56
+ "energy": true,
57
+ "forward_kwargs": {},
58
+ "generate_kwargs": {
59
+ "max_new_tokens": 2,
60
+ "min_new_tokens": 2
61
+ },
62
+ "call_kwargs": {
63
+ "num_inference_steps": 2
64
+ }
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": false,
70
+ "device_isolation_action": "error",
71
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7763 64-Core Processor",
75
+ "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.342208,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
+ "processor": "x86_64",
81
+ "python_version": "3.10.14",
82
+ "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "62a285c19141f06dfefa3e3372c4d089bc6a2a7b",
84
+ "transformers_version": "4.40.2",
85
+ "transformers_commit": null,
86
+ "accelerate_version": "0.30.0",
87
+ "accelerate_commit": null,
88
+ "diffusers_version": "0.27.2",
89
+ "diffusers_commit": null,
90
+ "optimum_version": null,
91
+ "optimum_commit": null,
92
+ "timm_version": "0.9.16",
93
+ "timm_commit": null,
94
+ "peft_version": null,
95
+ "peft_commit": null
96
+ }
97
+ },
98
+ "report": {
99
+ "call": {
100
+ "memory": {
101
+ "unit": "MB",
102
+ "max_ram": 6925.684736,
103
+ "max_global_vram": null,
104
+ "max_process_vram": null,
105
+ "max_reserved": null,
106
+ "max_allocated": null
107
+ },
108
+ "latency": {
109
+ "unit": "s",
110
+ "count": 1,
111
+ "total": 48.60538034399997,
112
+ "mean": 48.60538034399997,
113
+ "stdev": 0.0,
114
+ "p50": 48.60538034399997,
115
+ "p90": 48.60538034399997,
116
+ "p95": 48.60538034399997,
117
+ "p99": 48.60538034399997,
118
+ "values": [
119
+ 48.60538034399997
120
+ ]
121
+ },
122
+ "throughput": {
123
+ "unit": "images/s",
124
+ "value": 0.02057385402444328
125
+ },
126
+ "energy": {
127
+ "unit": "kWh",
128
+ "cpu": 0.0018858661770820618,
129
+ "ram": 7.88345025897422e-05,
130
+ "gpu": 0.0,
131
+ "total": 0.001964700679671804
132
+ },
133
+ "efficiency": {
134
+ "unit": "images/kWh",
135
+ "value": 508.98338375240263
136
+ }
137
+ }
138
+ }
139
+ }