Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
Browse files
cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "image-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": 400.556032,
|
118 |
"max_allocated": 346.271744
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
-
"total":
|
124 |
-
"mean":
|
125 |
"stdev": 0.0,
|
126 |
-
"p50":
|
127 |
-
"p90":
|
128 |
-
"p95":
|
129 |
-
"p99":
|
130 |
"values": [
|
131 |
-
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
@@ -138,185 +138,188 @@
|
|
138 |
"forward": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
-
"max_ram":
|
142 |
"max_global_vram": 68702.69952,
|
143 |
-
"max_process_vram":
|
144 |
"max_reserved": 406.847488,
|
145 |
"max_allocated": 355.303424
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
-
"count":
|
150 |
-
"total": 0.
|
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 |
0.006129454135894776,
|
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 |
-
0.006425933837890625,
|
235 |
-
0.006156653881072998,
|
236 |
-
0.006179694175720215,
|
237 |
-
0.006198254108428955,
|
238 |
-
0.006162252902984619,
|
239 |
-
0.006193933963775634,
|
240 |
-
0.006156174182891846,
|
241 |
-
0.006180654048919678,
|
242 |
0.006175854206085205,
|
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.
|
281 |
-
0.
|
282 |
-
0.
|
283 |
-
0.
|
284 |
-
0.
|
285 |
-
0.
|
286 |
-
0.
|
287 |
-
0.
|
288 |
-
0.
|
289 |
-
0.
|
290 |
-
0.
|
291 |
-
0.
|
292 |
-
0.
|
293 |
-
0.
|
294 |
-
0.
|
295 |
-
0.
|
296 |
-
0.
|
297 |
-
0.
|
298 |
-
0.
|
299 |
-
0.
|
300 |
-
0.
|
301 |
-
0.
|
302 |
-
0.
|
303 |
-
0.
|
304 |
-
0.
|
305 |
-
0.
|
306 |
-
0.
|
307 |
-
0.
|
308 |
-
0.
|
309 |
-
0.
|
310 |
-
0.
|
311 |
-
0.
|
312 |
-
0.
|
313 |
-
0.
|
314 |
-
0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
315 |
]
|
316 |
},
|
317 |
"throughput": {
|
318 |
"unit": "samples/s",
|
319 |
-
"value":
|
320 |
},
|
321 |
"energy": null,
|
322 |
"efficiency": null
|
|
|
3 |
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.3.1+rocm5.7",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "image-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": 1025.785856,
|
115 |
"max_global_vram": 68702.69952,
|
116 |
+
"max_process_vram": 43496.968192,
|
117 |
"max_reserved": 400.556032,
|
118 |
"max_allocated": 346.271744
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
+
"total": 7.55050341796875,
|
124 |
+
"mean": 7.55050341796875,
|
125 |
"stdev": 0.0,
|
126 |
+
"p50": 7.55050341796875,
|
127 |
+
"p90": 7.55050341796875,
|
128 |
+
"p95": 7.55050341796875,
|
129 |
+
"p99": 7.55050341796875,
|
130 |
"values": [
|
131 |
+
7.55050341796875
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
|
|
138 |
"forward": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
+
"max_ram": 1197.899776,
|
142 |
"max_global_vram": 68702.69952,
|
143 |
+
"max_process_vram": 172623.765504,
|
144 |
"max_reserved": 406.847488,
|
145 |
"max_allocated": 355.303424
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
+
"count": 160,
|
150 |
+
"total": 0.9981148366928106,
|
151 |
+
"mean": 0.006238217729330063,
|
152 |
+
"stdev": 0.0011374314906560403,
|
153 |
+
"p50": 0.005996892929077149,
|
154 |
+
"p90": 0.006791711139678955,
|
155 |
+
"p95": 0.006817679023742676,
|
156 |
+
"p99": 0.008340491857528675,
|
157 |
"values": [
|
158 |
+
0.006735855102539062,
|
159 |
+
0.0068072152137756345,
|
160 |
+
0.0066856141090393065,
|
161 |
+
0.0066409740447998045,
|
162 |
+
0.006299213886260986,
|
163 |
+
0.006194253921508789,
|
164 |
+
0.006203373908996582,
|
165 |
+
0.006168492794036865,
|
166 |
+
0.006169933795928955,
|
167 |
+
0.006152493953704834,
|
168 |
+
0.006048812866210938,
|
169 |
+
0.006014412879943848,
|
170 |
+
0.006023694038391114,
|
171 |
+
0.006011212825775146,
|
172 |
+
0.0059696130752563475,
|
173 |
+
0.005919053077697754,
|
174 |
+
0.005883533000946045,
|
175 |
+
0.0058888130187988285,
|
176 |
+
0.0058870530128479,
|
177 |
+
0.0058572921752929686,
|
178 |
+
0.005862893104553223,
|
179 |
+
0.005860812187194824,
|
180 |
+
0.005907533168792725,
|
181 |
+
0.005870253086090088,
|
182 |
+
0.005867053031921387,
|
183 |
+
0.01025266170501709,
|
184 |
+
0.006154253959655762,
|
185 |
+
0.005861133098602295,
|
186 |
+
0.0058820929527282715,
|
187 |
+
0.005890573024749756,
|
188 |
+
0.005875213146209717,
|
189 |
+
0.005852653026580811,
|
190 |
+
0.005873133182525634,
|
191 |
+
0.0070116958618164065,
|
192 |
+
0.006228813171386719,
|
193 |
+
0.006025293827056885,
|
194 |
+
0.006010252952575684,
|
195 |
+
0.0059536128044128415,
|
196 |
+
0.005982734203338623,
|
197 |
+
0.006024493217468262,
|
198 |
+
0.0059745731353759764,
|
199 |
+
0.0061432127952575685,
|
200 |
+
0.00627281379699707,
|
201 |
+
0.00598641300201416,
|
202 |
0.006129454135894776,
|
203 |
+
0.005991693019866943,
|
204 |
+
0.005973773002624512,
|
205 |
+
0.006011373996734619,
|
206 |
+
0.005997132778167724,
|
207 |
+
0.0062188940048217775,
|
208 |
+
0.006018413066864014,
|
209 |
+
0.005988173007965088,
|
210 |
+
0.0059822540283203125,
|
211 |
+
0.00595537281036377,
|
212 |
+
0.0061859340667724605,
|
213 |
+
0.006014893054962158,
|
214 |
+
0.005975372791290283,
|
215 |
+
0.006000332832336426,
|
216 |
+
0.0059841728210449216,
|
217 |
+
0.006008333206176758,
|
218 |
+
0.0060124931335449215,
|
219 |
+
0.005976492881774902,
|
220 |
+
0.005980493068695069,
|
221 |
+
0.006007213115692139,
|
222 |
+
0.005993773937225342,
|
223 |
+
0.0059601731300354,
|
224 |
+
0.005996653079986572,
|
225 |
+
0.005995532989501953,
|
226 |
+
0.006013614177703857,
|
227 |
+
0.006147373199462891,
|
228 |
+
0.005978253841400147,
|
229 |
+
0.00597985315322876,
|
230 |
+
0.006016333103179932,
|
231 |
+
0.005993292808532715,
|
232 |
+
0.0059603328704833985,
|
233 |
+
0.005980173110961914,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
234 |
0.006175854206085205,
|
235 |
+
0.005986252784729004,
|
236 |
+
0.005979533195495605,
|
237 |
+
0.018511720657348633,
|
238 |
+
0.00398448896408081,
|
239 |
+
0.003971369028091431,
|
240 |
+
0.003976968050003052,
|
241 |
+
0.003978569030761719,
|
242 |
+
0.0053483319282531736,
|
243 |
+
0.0060001730918884276,
|
244 |
+
0.0059870538711547855,
|
245 |
+
0.005975213050842285,
|
246 |
+
0.005964653015136719,
|
247 |
+
0.005970413208007812,
|
248 |
+
0.005973773956298828,
|
249 |
+
0.00596401309967041,
|
250 |
+
0.005960813045501709,
|
251 |
+
0.005980813026428223,
|
252 |
+
0.005972652912139892,
|
253 |
+
0.005952173233032226,
|
254 |
+
0.006010892868041992,
|
255 |
+
0.00597825288772583,
|
256 |
+
0.0059536128044128415,
|
257 |
+
0.005972493171691895,
|
258 |
+
0.005998892784118652,
|
259 |
+
0.0059841728210449216,
|
260 |
+
0.005949452877044677,
|
261 |
+
0.005984333038330078,
|
262 |
+
0.005912013053894043,
|
263 |
+
0.006001613140106201,
|
264 |
+
0.005977612972259521,
|
265 |
+
0.005950413227081299,
|
266 |
+
0.005958733081817627,
|
267 |
+
0.005971373081207276,
|
268 |
+
0.005946574211120606,
|
269 |
+
0.005957293033599854,
|
270 |
+
0.005966413021087647,
|
271 |
+
0.005964972972869873,
|
272 |
+
0.005983054161071777,
|
273 |
+
0.005972012996673584,
|
274 |
+
0.005953932762145996,
|
275 |
+
0.005940012931823731,
|
276 |
+
0.005958413124084473,
|
277 |
+
0.00595729398727417,
|
278 |
+
0.00597825288772583,
|
279 |
+
0.005933133125305176,
|
280 |
+
0.005951693058013916,
|
281 |
+
0.006013613224029541,
|
282 |
+
0.006012972831726074,
|
283 |
+
0.0065198540687561035,
|
284 |
+
0.006721775054931641,
|
285 |
+
0.006754254817962647,
|
286 |
+
0.00677153491973877,
|
287 |
+
0.006817615032196045,
|
288 |
+
0.00675953483581543,
|
289 |
+
0.006748654842376709,
|
290 |
+
0.006536495208740234,
|
291 |
+
0.006659053802490235,
|
292 |
+
0.006791375160217285,
|
293 |
+
0.00672529411315918,
|
294 |
+
0.0068388948440551755,
|
295 |
+
0.006719854831695557,
|
296 |
+
0.006782094955444336,
|
297 |
+
0.006765775203704834,
|
298 |
+
0.006796814918518066,
|
299 |
+
0.006794734954833985,
|
300 |
+
0.006795694828033447,
|
301 |
+
0.006783374786376953,
|
302 |
+
0.006759214878082276,
|
303 |
+
0.006791055202484131,
|
304 |
+
0.006838735103607178,
|
305 |
+
0.006813614845275879,
|
306 |
+
0.0068137750625610356,
|
307 |
+
0.0068244948387146,
|
308 |
+
0.006840335845947266,
|
309 |
+
0.006818894863128662,
|
310 |
+
0.006780495166778564,
|
311 |
+
0.006735374927520752,
|
312 |
+
0.006765934944152832,
|
313 |
+
0.006773614883422851,
|
314 |
+
0.006787215232849121,
|
315 |
+
0.006779534816741943,
|
316 |
+
0.00678785514831543,
|
317 |
+
0.006800973892211914
|
318 |
]
|
319 |
},
|
320 |
"throughput": {
|
321 |
"unit": "samples/s",
|
322 |
+
"value": 160.30219581761733
|
323 |
},
|
324 |
"energy": null,
|
325 |
"efficiency": null
|