Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
d718cb9
•
1 Parent(s): e09b92c

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/file.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-classification_FacebookAI/roberta-base/file.json +171 -0
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/file.json ADDED
@@ -0,0 +1,171 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.3.0+cpu",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "text-classification",
9
+ "model": "FacebookAI/roberta-base",
10
+ "library": "transformers",
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": true,
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": 16757.346304,
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": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
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
+ "forward": {
100
+ "memory": {
101
+ "unit": "MB",
102
+ "max_ram": 939.39712,
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": 33,
111
+ "total": 1.0082548800001518,
112
+ "mean": 0.030553178181822783,
113
+ "stdev": 0.00175309056604995,
114
+ "p50": 0.029733420000013666,
115
+ "p90": 0.03370184000001473,
116
+ "p95": 0.03401826339999161,
117
+ "p99": 0.03441965515998618,
118
+ "values": [
119
+ 0.034472210999979325,
120
+ 0.033724815000027775,
121
+ 0.033609939999962535,
122
+ 0.03430797400000074,
123
+ 0.033498162000000775,
124
+ 0.033825122999985524,
125
+ 0.031096044999969763,
126
+ 0.029733420000013666,
127
+ 0.02981750600002897,
128
+ 0.03249516899995797,
129
+ 0.030046884999990198,
130
+ 0.0291586160000179,
131
+ 0.029142075000038403,
132
+ 0.029352648000042336,
133
+ 0.030184923000035724,
134
+ 0.029891866000014033,
135
+ 0.02960390099997312,
136
+ 0.02963804099999834,
137
+ 0.029160449000016797,
138
+ 0.029296944000009262,
139
+ 0.02949319099997183,
140
+ 0.02924647999998342,
141
+ 0.029365111000004163,
142
+ 0.0298047030000248,
143
+ 0.02982126300003074,
144
+ 0.029433700000026874,
145
+ 0.029380349999996724,
146
+ 0.02941878199999337,
147
+ 0.029517145000056644,
148
+ 0.029141724999988128,
149
+ 0.02994289100001879,
150
+ 0.03215953199998012,
151
+ 0.029473294000013084
152
+ ]
153
+ },
154
+ "throughput": {
155
+ "unit": "samples/s",
156
+ "value": 32.729819269503594
157
+ },
158
+ "energy": {
159
+ "unit": "kWh",
160
+ "cpu": 1.1300574408637152e-06,
161
+ "ram": 4.722718188192435e-08,
162
+ "gpu": 0.0,
163
+ "total": 1.1772846227456398e-06
164
+ },
165
+ "efficiency": {
166
+ "unit": "samples/kWh",
167
+ "value": 849412.266736161
168
+ }
169
+ }
170
+ }
171
+ }