Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
6c9a9d0
·
verified ·
1 Parent(s): 63d828a

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/file.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/file.json +215 -0
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/file.json ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.2.2",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "token-classification",
9
+ "model": "microsoft/deberta-v3-base",
10
+ "library": "transformers",
11
+ "device": "cuda",
12
+ "device_ids": "0",
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": true,
70
+ "device_isolation_action": "error",
71
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.214-202.855.amzn2.x86_64-x86_64-with-glibc2.35",
80
+ "processor": "x86_64",
81
+ "python_version": "3.10.14",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.0",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.40.2",
90
+ "transformers_commit": null,
91
+ "accelerate_version": "0.30.0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": "0.27.2",
94
+ "diffusers_commit": null,
95
+ "optimum_version": null,
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": null,
100
+ "peft_commit": null
101
+ }
102
+ },
103
+ "report": {
104
+ "forward": {
105
+ "memory": {
106
+ "unit": "MB",
107
+ "max_ram": 959.086592,
108
+ "max_global_vram": 1434.976256,
109
+ "max_process_vram": 0.0,
110
+ "max_reserved": 794.820608,
111
+ "max_allocated": 753.607168
112
+ },
113
+ "latency": {
114
+ "unit": "s",
115
+ "count": 72,
116
+ "total": 1.003494529724121,
117
+ "mean": 0.013937424023946127,
118
+ "stdev": 0.0006683063152755395,
119
+ "p50": 0.013726719856262207,
120
+ "p90": 0.014464611434936523,
121
+ "p95": 0.015149977397918702,
122
+ "p99": 0.0165119588470459,
123
+ "values": [
124
+ 0.01478656005859375,
125
+ 0.015286272048950195,
126
+ 0.015038463592529297,
127
+ 0.014474240303039551,
128
+ 0.014053376197814941,
129
+ 0.014352479934692382,
130
+ 0.014017536163330077,
131
+ 0.013987839698791504,
132
+ 0.013972512245178223,
133
+ 0.014286848068237304,
134
+ 0.014042112350463867,
135
+ 0.014046208381652832,
136
+ 0.014193663597106934,
137
+ 0.014220288276672363,
138
+ 0.014334976196289062,
139
+ 0.014652416229248047,
140
+ 0.014228480339050293,
141
+ 0.014005248069763183,
142
+ 0.01394380760192871,
143
+ 0.014023679733276367,
144
+ 0.014183423995971679,
145
+ 0.014377951622009277,
146
+ 0.013644800186157227,
147
+ 0.01360588836669922,
148
+ 0.013631423950195313,
149
+ 0.01356390380859375,
150
+ 0.013493247985839844,
151
+ 0.01350556755065918,
152
+ 0.013806591987609864,
153
+ 0.013494272232055664,
154
+ 0.013504511833190918,
155
+ 0.013560799598693848,
156
+ 0.013606944084167481,
157
+ 0.013904895782470703,
158
+ 0.013925375938415528,
159
+ 0.01358847999572754,
160
+ 0.013567999839782715,
161
+ 0.013641728401184081,
162
+ 0.013509632110595703,
163
+ 0.013693951606750488,
164
+ 0.013364224433898926,
165
+ 0.014140416145324707,
166
+ 0.016475135803222657,
167
+ 0.01660211181640625,
168
+ 0.016360448837280273,
169
+ 0.013648896217346192,
170
+ 0.013220895767211914,
171
+ 0.013283328056335449,
172
+ 0.01321884822845459,
173
+ 0.013167615890502929,
174
+ 0.013080575942993163,
175
+ 0.013072319984436035,
176
+ 0.0135731201171875,
177
+ 0.013849599838256836,
178
+ 0.013727744102478028,
179
+ 0.013644800186157227,
180
+ 0.013725695610046386,
181
+ 0.013692928314208984,
182
+ 0.01369600009918213,
183
+ 0.013740032196044923,
184
+ 0.013790207862854004,
185
+ 0.013767744064331055,
186
+ 0.013692928314208984,
187
+ 0.013658111572265624,
188
+ 0.013722623825073242,
189
+ 0.013656064033508301,
190
+ 0.013637632369995116,
191
+ 0.013786111831665039,
192
+ 0.013669376373291015,
193
+ 0.013635583877563476,
194
+ 0.013735936164855958,
195
+ 0.013699071884155273
196
+ ]
197
+ },
198
+ "throughput": {
199
+ "unit": "samples/s",
200
+ "value": 71.74927004315022
201
+ },
202
+ "energy": {
203
+ "unit": "kWh",
204
+ "cpu": 1.621205639373791e-07,
205
+ "ram": 8.839138424534483e-08,
206
+ "gpu": 3.2932458778377775e-07,
207
+ "total": 5.798365359665018e-07
208
+ },
209
+ "efficiency": {
210
+ "unit": "samples/kWh",
211
+ "value": 1724623.989644164
212
+ }
213
+ }
214
+ }
215
+ }