Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "multiple-choice",
|
9 |
"library": "transformers",
|
@@ -11,7 +11,7 @@
|
|
11 |
"model": "FacebookAI/roberta-base",
|
12 |
"processor": "FacebookAI/roberta-base",
|
13 |
"device": "cuda",
|
14 |
-
"device_ids": "
|
15 |
"seed": 42,
|
16 |
"inter_op_num_threads": null,
|
17 |
"intra_op_num_threads": null,
|
@@ -97,7 +97,7 @@
|
|
97 |
"transformers_commit": null,
|
98 |
"accelerate_version": "0.33.0",
|
99 |
"accelerate_commit": null,
|
100 |
-
"diffusers_version": "0.30.
|
101 |
"diffusers_commit": null,
|
102 |
"optimum_version": null,
|
103 |
"optimum_commit": null,
|
@@ -111,24 +111,24 @@
|
|
111 |
"load": {
|
112 |
"memory": {
|
113 |
"unit": "MB",
|
114 |
-
"max_ram":
|
115 |
-
"max_global_vram":
|
116 |
-
"max_process_vram":
|
117 |
"max_reserved": 555.74528,
|
118 |
"max_allocated": 499.37152
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
-
"total": 7.
|
124 |
-
"mean": 7.
|
125 |
"stdev": 0.0,
|
126 |
-
"p50": 7.
|
127 |
-
"p90": 7.
|
128 |
-
"p95": 7.
|
129 |
-
"p99": 7.
|
130 |
"values": [
|
131 |
-
7.
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
@@ -138,148 +138,151 @@
|
|
138 |
"forward": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
-
"max_ram":
|
142 |
-
"max_global_vram":
|
143 |
-
"max_process_vram":
|
144 |
"max_reserved": 555.74528,
|
145 |
"max_allocated": 499.5072
|
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.
|
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 |
]
|
279 |
},
|
280 |
"throughput": {
|
281 |
"unit": "samples/s",
|
282 |
-
"value":
|
283 |
},
|
284 |
"energy": null,
|
285 |
"efficiency": null
|
|
|
3 |
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.4.0+rocm6.1",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "multiple-choice",
|
9 |
"library": "transformers",
|
|
|
11 |
"model": "FacebookAI/roberta-base",
|
12 |
"processor": "FacebookAI/roberta-base",
|
13 |
"device": "cuda",
|
14 |
+
"device_ids": "0",
|
15 |
"seed": 42,
|
16 |
"inter_op_num_threads": null,
|
17 |
"intra_op_num_threads": null,
|
|
|
97 |
"transformers_commit": null,
|
98 |
"accelerate_version": "0.33.0",
|
99 |
"accelerate_commit": null,
|
100 |
+
"diffusers_version": "0.30.2",
|
101 |
"diffusers_commit": null,
|
102 |
"optimum_version": null,
|
103 |
"optimum_commit": null,
|
|
|
111 |
"load": {
|
112 |
"memory": {
|
113 |
"unit": "MB",
|
114 |
+
"max_ram": 1389.109248,
|
115 |
+
"max_global_vram": 11.145216,
|
116 |
+
"max_process_vram": 0.0,
|
117 |
"max_reserved": 555.74528,
|
118 |
"max_allocated": 499.37152
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
+
"total": 7.75903271484375,
|
124 |
+
"mean": 7.75903271484375,
|
125 |
"stdev": 0.0,
|
126 |
+
"p50": 7.75903271484375,
|
127 |
+
"p90": 7.75903271484375,
|
128 |
+
"p95": 7.75903271484375,
|
129 |
+
"p99": 7.75903271484375,
|
130 |
"values": [
|
131 |
+
7.75903271484375
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
|
|
138 |
"forward": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
+
"max_ram": 1514.917888,
|
142 |
+
"max_global_vram": 11.149312,
|
143 |
+
"max_process_vram": 0.0,
|
144 |
"max_reserved": 555.74528,
|
145 |
"max_allocated": 499.5072
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
+
"count": 123,
|
150 |
+
"total": 0.9949127125740053,
|
151 |
+
"mean": 0.008088721240439066,
|
152 |
+
"stdev": 0.00043408992441727116,
|
153 |
+
"p50": 0.007873094081878662,
|
154 |
+
"p90": 0.008848355102539063,
|
155 |
+
"p95": 0.008872802543640135,
|
156 |
+
"p99": 0.00891848575592041,
|
157 |
"values": [
|
158 |
+
0.008542692184448242,
|
159 |
+
0.008315652847290038,
|
160 |
+
0.008163812637329102,
|
161 |
+
0.008611010551452638,
|
162 |
+
0.008234692573547362,
|
163 |
+
0.008172133445739745,
|
164 |
+
0.00811469268798828,
|
165 |
+
0.00808253288269043,
|
166 |
+
0.008071332931518556,
|
167 |
+
0.007990533828735352,
|
168 |
+
0.007913894176483154,
|
169 |
+
0.007922853946685791,
|
170 |
+
0.00791853380203247,
|
171 |
+
0.007877254009246826,
|
172 |
+
0.007904454231262207,
|
173 |
+
0.00791469383239746,
|
174 |
+
0.007924613952636718,
|
175 |
+
0.0078820538520813,
|
176 |
+
0.007952293872833253,
|
177 |
+
0.007915174007415772,
|
178 |
+
0.007896933078765869,
|
179 |
+
0.00790925407409668,
|
180 |
+
0.00798237419128418,
|
181 |
+
0.00805389404296875,
|
182 |
+
0.008050373077392578,
|
183 |
+
0.008026212692260741,
|
184 |
+
0.007968133926391601,
|
185 |
+
0.007934693813323974,
|
186 |
+
0.01092284393310547,
|
187 |
+
0.008631011962890626,
|
188 |
+
0.00828989315032959,
|
189 |
+
0.008307332038879395,
|
190 |
+
0.008849571228027344,
|
191 |
+
0.008843490600585938,
|
192 |
+
0.008862050056457519,
|
193 |
+
0.008865891456604004,
|
194 |
+
0.008873570442199706,
|
195 |
+
0.008922850608825684,
|
196 |
+
0.008892930984497071,
|
197 |
+
0.008887649536132813,
|
198 |
+
0.008855010986328125,
|
199 |
+
0.008903010368347168,
|
200 |
+
0.00858205223083496,
|
201 |
+
0.008314533233642578,
|
202 |
+
0.00804381275177002,
|
203 |
+
0.007860774040222169,
|
204 |
+
0.007877893924713135,
|
205 |
+
0.007860774040222169,
|
206 |
+
0.007839014053344726,
|
207 |
+
0.007850214958190918,
|
208 |
+
0.007824934005737305,
|
209 |
+
0.007840933799743653,
|
210 |
+
0.00785517406463623,
|
211 |
+
0.007863014221191407,
|
212 |
+
0.007859653949737548,
|
213 |
+
0.007902853965759278,
|
214 |
+
0.007860454082489013,
|
215 |
+
0.007873894214630127,
|
216 |
+
0.007851974010467529,
|
217 |
+
0.007838533878326417,
|
218 |
+
0.007873094081878662,
|
219 |
+
0.007865893840789794,
|
220 |
+
0.007844933986663818,
|
221 |
+
0.007844453811645507,
|
222 |
+
0.007861093997955322,
|
223 |
+
0.007855494022369385,
|
224 |
+
0.007845253944396972,
|
225 |
+
0.007834854125976563,
|
226 |
+
0.008394051551818847,
|
227 |
+
0.008207972526550294,
|
228 |
+
0.00832893180847168,
|
229 |
+
0.007927494049072266,
|
230 |
+
0.007837093830108643,
|
231 |
+
0.007835494041442872,
|
232 |
+
0.00784973382949829,
|
233 |
+
0.007825095176696778,
|
234 |
+
0.00786621379852295,
|
235 |
+
0.007846854209899902,
|
236 |
+
0.007857093811035156,
|
237 |
+
0.007832454204559327,
|
238 |
+
0.007818213939666748,
|
239 |
+
0.007808773994445801,
|
240 |
+
0.007834854125976563,
|
241 |
+
0.007815494060516357,
|
242 |
+
0.007824453830718994,
|
243 |
+
0.007817093849182128,
|
244 |
+
0.007833573818206787,
|
245 |
+
0.007813253879547118,
|
246 |
+
0.007829894065856933,
|
247 |
+
0.007843334197998047,
|
248 |
+
0.00784653377532959,
|
249 |
+
0.007830214023590088,
|
250 |
+
0.007829894065856933,
|
251 |
+
0.007825414180755615,
|
252 |
+
0.007810853958129883,
|
253 |
+
0.007853894233703614,
|
254 |
+
0.007839815139770508,
|
255 |
+
0.007838213920593261,
|
256 |
+
0.007796453952789307,
|
257 |
+
0.007827653884887695,
|
258 |
+
0.007825573921203614,
|
259 |
+
0.007785254955291748,
|
260 |
+
0.007803335189819336,
|
261 |
+
0.007830214977264405,
|
262 |
+
0.007829575061798096,
|
263 |
+
0.007829093933105468,
|
264 |
+
0.007807013988494873,
|
265 |
+
0.007810054779052734,
|
266 |
+
0.0078025350570678715,
|
267 |
+
0.00784861421585083,
|
268 |
+
0.007817254066467286,
|
269 |
+
0.007829093933105468,
|
270 |
+
0.00785085391998291,
|
271 |
+
0.00785629415512085,
|
272 |
+
0.008366691589355468,
|
273 |
+
0.008855010986328125,
|
274 |
+
0.008859490394592285,
|
275 |
+
0.008322532653808595,
|
276 |
+
0.008437891960144044,
|
277 |
+
0.008773091316223145,
|
278 |
+
0.008886690139770509,
|
279 |
+
0.00871933078765869,
|
280 |
+
0.008241413116455078
|
281 |
]
|
282 |
},
|
283 |
"throughput": {
|
284 |
"unit": "samples/s",
|
285 |
+
"value": 123.62893593125219
|
286 |
},
|
287 |
"energy": null,
|
288 |
"efficiency": null
|