Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "text-classification",
|
9 |
"library": "transformers",
|
@@ -103,7 +103,7 @@
|
|
103 |
"optimum_commit": null,
|
104 |
"timm_version": "1.0.9",
|
105 |
"timm_commit": null,
|
106 |
-
"peft_version":
|
107 |
"peft_commit": null
|
108 |
}
|
109 |
},
|
@@ -111,24 +111,24 @@
|
|
111 |
"load": {
|
112 |
"memory": {
|
113 |
"unit": "MB",
|
114 |
-
"max_ram":
|
115 |
"max_global_vram": 68702.69952,
|
116 |
-
"max_process_vram":
|
117 |
"max_reserved": 555.74528,
|
118 |
"max_allocated": 499.374592
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
-
"total": 14.
|
124 |
-
"mean": 14.
|
125 |
"stdev": 0.0,
|
126 |
-
"p50": 14.
|
127 |
-
"p90": 14.
|
128 |
-
"p95": 14.
|
129 |
-
"p99": 14.
|
130 |
"values": [
|
131 |
-
14.
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
@@ -138,157 +138,150 @@
|
|
138 |
"forward": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
-
"max_ram":
|
142 |
"max_global_vram": 68702.69952,
|
143 |
-
"max_process_vram":
|
144 |
"max_reserved": 555.74528,
|
145 |
"max_allocated": 499.4432
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
-
"count":
|
150 |
-
"total":
|
151 |
-
"mean": 0.
|
152 |
-
"stdev": 0.
|
153 |
-
"p50": 0.
|
154 |
-
"p90": 0.
|
155 |
-
"p95": 0.
|
156 |
-
"p99": 0.
|
157 |
"values": [
|
158 |
-
0.
|
159 |
-
0.
|
160 |
-
0.
|
161 |
-
0.
|
162 |
-
0.
|
163 |
-
0.
|
164 |
-
0.
|
165 |
-
0.
|
166 |
-
0.
|
167 |
-
0.
|
168 |
-
0.
|
169 |
-
0.
|
170 |
-
0.
|
171 |
-
0.
|
172 |
-
0.
|
173 |
-
0.
|
174 |
-
0.
|
175 |
-
0.
|
176 |
-
0.
|
177 |
-
0.
|
178 |
-
0.
|
179 |
-
0.
|
180 |
-
0.
|
181 |
-
0.
|
182 |
-
0.
|
183 |
-
0.
|
184 |
-
0.
|
185 |
-
0.
|
186 |
-
0.
|
187 |
-
0.
|
188 |
-
0.
|
189 |
-
0.
|
190 |
-
0.
|
191 |
-
0.
|
192 |
-
0.
|
193 |
-
0.
|
194 |
-
0.
|
195 |
-
0.
|
196 |
-
0.
|
197 |
-
0.
|
198 |
-
0.
|
199 |
-
0.
|
200 |
-
0.
|
201 |
-
0.
|
202 |
-
0.
|
203 |
-
0.
|
204 |
-
0.
|
205 |
-
0.
|
206 |
-
0.
|
207 |
-
0.
|
208 |
-
0.
|
209 |
-
0.
|
210 |
-
0.
|
211 |
-
0.
|
212 |
-
0.
|
213 |
-
0.
|
214 |
-
0.
|
215 |
-
0.
|
216 |
-
0.
|
217 |
-
0.
|
218 |
-
0.
|
219 |
-
0.
|
220 |
-
0.
|
221 |
-
0.
|
222 |
-
0.
|
223 |
-
0.
|
224 |
-
0.
|
225 |
-
0.
|
226 |
-
0.
|
227 |
-
0.
|
228 |
-
0.
|
229 |
-
0.
|
230 |
-
0.
|
231 |
-
0.
|
232 |
-
0.
|
233 |
-
0.
|
234 |
-
0.
|
235 |
-
0.
|
236 |
-
0.
|
237 |
-
0.
|
238 |
-
0.
|
239 |
-
0.
|
240 |
-
0.
|
241 |
-
0.
|
242 |
-
0.
|
243 |
-
0.
|
244 |
-
0.
|
245 |
-
0.
|
246 |
-
0.
|
247 |
-
0.
|
248 |
-
0.
|
249 |
-
0.
|
250 |
-
0.
|
251 |
-
0.
|
252 |
-
0.
|
253 |
-
0.
|
254 |
-
0.
|
255 |
-
0.
|
256 |
-
0.
|
257 |
-
0.
|
258 |
-
0.
|
259 |
-
0.
|
260 |
-
0.
|
261 |
-
0.
|
262 |
-
0.
|
263 |
-
0.
|
264 |
-
0.
|
265 |
-
0.
|
266 |
-
0.
|
267 |
-
0.
|
268 |
-
0.
|
269 |
-
0.
|
270 |
-
0.
|
271 |
-
0.
|
272 |
-
0.
|
273 |
-
0.
|
274 |
-
0.
|
275 |
-
0.
|
276 |
-
0.
|
277 |
-
0.
|
278 |
-
0.
|
279 |
-
0.
|
280 |
-
0.007539697170257568,
|
281 |
-
0.0076985759735107425,
|
282 |
-
0.007750096797943115,
|
283 |
-
0.008111698150634766,
|
284 |
-
0.007689136028289795,
|
285 |
-
0.007701137065887451,
|
286 |
-
0.007851215839385986
|
287 |
]
|
288 |
},
|
289 |
"throughput": {
|
290 |
"unit": "samples/s",
|
291 |
-
"value":
|
292 |
},
|
293 |
"energy": null,
|
294 |
"efficiency": null
|
|
|
3 |
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.3.1+rocm5.7",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "text-classification",
|
9 |
"library": "transformers",
|
|
|
103 |
"optimum_commit": null,
|
104 |
"timm_version": "1.0.9",
|
105 |
"timm_commit": null,
|
106 |
+
"peft_version": null,
|
107 |
"peft_commit": null
|
108 |
}
|
109 |
},
|
|
|
111 |
"load": {
|
112 |
"memory": {
|
113 |
"unit": "MB",
|
114 |
+
"max_ram": 1032.654848,
|
115 |
"max_global_vram": 68702.69952,
|
116 |
+
"max_process_vram": 45683.843072,
|
117 |
"max_reserved": 555.74528,
|
118 |
"max_allocated": 499.374592
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
+
"total": 14.200427734375,
|
124 |
+
"mean": 14.200427734375,
|
125 |
"stdev": 0.0,
|
126 |
+
"p50": 14.200427734375,
|
127 |
+
"p90": 14.200427734375,
|
128 |
+
"p95": 14.200427734375,
|
129 |
+
"p99": 14.200427734375,
|
130 |
"values": [
|
131 |
+
14.200427734375
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
|
|
138 |
"forward": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
+
"max_ram": 1149.919232,
|
142 |
"max_global_vram": 68702.69952,
|
143 |
+
"max_process_vram": 224219.160576,
|
144 |
"max_reserved": 555.74528,
|
145 |
"max_allocated": 499.4432
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
+
"count": 122,
|
150 |
+
"total": 0.9953399045467377,
|
151 |
+
"mean": 0.008158523807760144,
|
152 |
+
"stdev": 0.0012453671496843836,
|
153 |
+
"p50": 0.008072498321533204,
|
154 |
+
"p90": 0.008253460216522217,
|
155 |
+
"p95": 0.008353706836700439,
|
156 |
+
"p99": 0.008441189279556274,
|
157 |
"values": [
|
158 |
+
0.008227218627929687,
|
159 |
+
0.00814897918701172,
|
160 |
+
0.008128337860107422,
|
161 |
+
0.00809025764465332,
|
162 |
+
0.008096818923950195,
|
163 |
+
0.008100659370422363,
|
164 |
+
0.008444179534912109,
|
165 |
+
0.00820241928100586,
|
166 |
+
0.008162259101867676,
|
167 |
+
0.008123858451843262,
|
168 |
+
0.00810561752319336,
|
169 |
+
0.008086579322814941,
|
170 |
+
0.008057458877563477,
|
171 |
+
0.008059219360351562,
|
172 |
+
0.008037458419799805,
|
173 |
+
0.008047219276428222,
|
174 |
+
0.00805953884124756,
|
175 |
+
0.008024818420410156,
|
176 |
+
0.008104819297790528,
|
177 |
+
0.008076178550720214,
|
178 |
+
0.00810689926147461,
|
179 |
+
0.008057778358459472,
|
180 |
+
0.008055538177490234,
|
181 |
+
0.00804945945739746,
|
182 |
+
0.008023219108581543,
|
183 |
+
0.008051538467407226,
|
184 |
+
0.008116498947143554,
|
185 |
+
0.020581647872924803,
|
186 |
+
0.0024056050777435303,
|
187 |
+
0.007571218013763428,
|
188 |
+
0.008111538887023926,
|
189 |
+
0.008020498275756837,
|
190 |
+
0.00807873821258545,
|
191 |
+
0.008028658866882324,
|
192 |
+
0.008018738746643066,
|
193 |
+
0.008008498191833496,
|
194 |
+
0.008020018577575684,
|
195 |
+
0.008060978889465333,
|
196 |
+
0.008082258224487304,
|
197 |
+
0.008067858695983888,
|
198 |
+
0.008116179466247559,
|
199 |
+
0.008028338432312012,
|
200 |
+
0.008070098876953124,
|
201 |
+
0.008085779190063477,
|
202 |
+
0.008057458877563477,
|
203 |
+
0.008072978019714355,
|
204 |
+
0.008061139106750489,
|
205 |
+
0.00802721881866455,
|
206 |
+
0.008122259140014649,
|
207 |
+
0.008056017875671386,
|
208 |
+
0.008065459251403808,
|
209 |
+
0.008024179458618164,
|
210 |
+
0.00804385757446289,
|
211 |
+
0.008019858360290528,
|
212 |
+
0.00807201862335205,
|
213 |
+
0.00824225902557373,
|
214 |
+
0.008373780250549316,
|
215 |
+
0.008352338790893555,
|
216 |
+
0.008333938598632813,
|
217 |
+
0.008247380256652831,
|
218 |
+
0.008218419075012208,
|
219 |
+
0.008208019256591797,
|
220 |
+
0.008250578880310059,
|
221 |
+
0.008353778839111328,
|
222 |
+
0.008391058921813965,
|
223 |
+
0.008280818939208984,
|
224 |
+
0.008257458686828614,
|
225 |
+
0.008253780364990235,
|
226 |
+
0.008161778450012208,
|
227 |
+
0.00810817813873291,
|
228 |
+
0.008107858657836914,
|
229 |
+
0.0080648193359375,
|
230 |
+
0.008102099418640136,
|
231 |
+
0.008151538848876953,
|
232 |
+
0.008078577995300294,
|
233 |
+
0.008069138526916503,
|
234 |
+
0.008074898719787598,
|
235 |
+
0.008075058937072754,
|
236 |
+
0.008064178466796875,
|
237 |
+
0.00801137924194336,
|
238 |
+
0.0080681791305542,
|
239 |
+
0.008024337768554688,
|
240 |
+
0.008025938987731934,
|
241 |
+
0.008184979438781739,
|
242 |
+
0.008429940223693849,
|
243 |
+
0.008315379142761231,
|
244 |
+
0.008136018753051758,
|
245 |
+
0.008149298667907715,
|
246 |
+
0.008106259346008301,
|
247 |
+
0.008119378089904785,
|
248 |
+
0.008045937538146973,
|
249 |
+
0.008098258972167968,
|
250 |
+
0.008043059349060059,
|
251 |
+
0.008034897804260253,
|
252 |
+
0.008110098838806153,
|
253 |
+
0.008032979011535645,
|
254 |
+
0.00806497859954834,
|
255 |
+
0.008048337936401367,
|
256 |
+
0.008052179336547852,
|
257 |
+
0.008092179298400878,
|
258 |
+
0.008042898178100586,
|
259 |
+
0.008106738090515138,
|
260 |
+
0.008353779792785645,
|
261 |
+
0.008196019172668456,
|
262 |
+
0.008046419143676757,
|
263 |
+
0.007996017932891846,
|
264 |
+
0.008087537765502929,
|
265 |
+
0.008040658950805664,
|
266 |
+
0.00805457878112793,
|
267 |
+
0.00802209758758545,
|
268 |
+
0.008050739288330078,
|
269 |
+
0.008095059394836426,
|
270 |
+
0.008087538719177246,
|
271 |
+
0.008047698020935058,
|
272 |
+
0.00805137825012207,
|
273 |
+
0.008013298988342285,
|
274 |
+
0.008023537635803223,
|
275 |
+
0.008038257598876953,
|
276 |
+
0.008039539337158202,
|
277 |
+
0.008047698020935058,
|
278 |
+
0.008026898384094238,
|
279 |
+
0.008031859397888183
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
280 |
]
|
281 |
},
|
282 |
"throughput": {
|
283 |
"unit": "samples/s",
|
284 |
+
"value": 122.57119346135018
|
285 |
},
|
286 |
"energy": null,
|
287 |
"efficiency": null
|