Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
Browse files
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json
CHANGED
@@ -85,7 +85,7 @@
|
|
85 |
"gpu_count": 1,
|
86 |
"gpu_vram_mb": 68702699520,
|
87 |
"optimum_benchmark_version": "0.3.1",
|
88 |
-
"optimum_benchmark_commit": "
|
89 |
"transformers_version": "4.42.3",
|
90 |
"transformers_commit": null,
|
91 |
"accelerate_version": "0.31.0",
|
@@ -104,104 +104,101 @@
|
|
104 |
"forward": {
|
105 |
"memory": {
|
106 |
"unit": "MB",
|
107 |
-
"max_ram": 1028.
|
108 |
-
"max_global_vram": 1122.
|
109 |
-
"max_process_vram":
|
110 |
"max_reserved": 773.849088,
|
111 |
"max_allocated": 745.087488
|
112 |
},
|
113 |
"latency": {
|
114 |
"unit": "s",
|
115 |
-
"count":
|
116 |
-
"total": 1.
|
117 |
-
"mean": 0.
|
118 |
-
"stdev": 0.
|
119 |
-
"p50": 0.
|
120 |
-
"p90": 0.
|
121 |
-
"p95": 0.
|
122 |
-
"p99": 0.
|
123 |
"values": [
|
124 |
-
0.
|
125 |
-
0.
|
126 |
-
0.
|
127 |
-
0.
|
128 |
-
0.
|
129 |
-
0.
|
130 |
-
0.
|
131 |
-
0.
|
132 |
-
0.
|
133 |
-
0.
|
134 |
-
0.
|
135 |
-
0.
|
136 |
-
0.
|
137 |
-
0.
|
138 |
-
0.
|
139 |
-
0.
|
140 |
-
0.
|
141 |
-
0.
|
142 |
-
0.
|
143 |
-
0.
|
144 |
-
0.
|
145 |
-
0.
|
146 |
-
0.
|
147 |
-
0.
|
148 |
-
0.
|
149 |
-
0.
|
150 |
-
0.
|
151 |
-
0.
|
152 |
-
0.
|
153 |
-
0.
|
154 |
-
0.
|
155 |
-
0.
|
156 |
-
0.
|
157 |
-
0.
|
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 |
-
0.013060835838317872,
|
198 |
-
0.013465638160705567,
|
199 |
-
0.013034115791320801
|
200 |
]
|
201 |
},
|
202 |
"throughput": {
|
203 |
"unit": "samples/s",
|
204 |
-
"value":
|
205 |
},
|
206 |
"energy": null,
|
207 |
"efficiency": null
|
|
|
85 |
"gpu_count": 1,
|
86 |
"gpu_vram_mb": 68702699520,
|
87 |
"optimum_benchmark_version": "0.3.1",
|
88 |
+
"optimum_benchmark_commit": "8ebe8531a5b12ea7926cab66905381c76b24fcc4",
|
89 |
"transformers_version": "4.42.3",
|
90 |
"transformers_commit": null,
|
91 |
"accelerate_version": "0.31.0",
|
|
|
104 |
"forward": {
|
105 |
"memory": {
|
106 |
"unit": "MB",
|
107 |
+
"max_ram": 1028.030464,
|
108 |
+
"max_global_vram": 1122.865152,
|
109 |
+
"max_process_vram": 239252.021248,
|
110 |
"max_reserved": 773.849088,
|
111 |
"max_allocated": 745.087488
|
112 |
},
|
113 |
"latency": {
|
114 |
"unit": "s",
|
115 |
+
"count": 73,
|
116 |
+
"total": 1.004742811203003,
|
117 |
+
"mean": 0.013763600153465795,
|
118 |
+
"stdev": 0.0004502435666232308,
|
119 |
+
"p50": 0.013614728927612304,
|
120 |
+
"p90": 0.014473770713806152,
|
121 |
+
"p95": 0.014586026382446288,
|
122 |
+
"p99": 0.014952190170288086,
|
123 |
"values": [
|
124 |
+
0.014051851272583007,
|
125 |
+
0.014402409553527833,
|
126 |
+
0.014233450889587402,
|
127 |
+
0.014006250381469727,
|
128 |
+
0.01381952953338623,
|
129 |
+
0.013710089683532715,
|
130 |
+
0.013829770088195801,
|
131 |
+
0.013695850372314453,
|
132 |
+
0.014088330268859863,
|
133 |
+
0.013654890060424805,
|
134 |
+
0.01393553066253662,
|
135 |
+
0.01382112979888916,
|
136 |
+
0.014897130966186523,
|
137 |
+
0.014545129776000977,
|
138 |
+
0.014484810829162597,
|
139 |
+
0.014365289688110352,
|
140 |
+
0.01453921127319336,
|
141 |
+
0.014027689933776856,
|
142 |
+
0.015093770980834961,
|
143 |
+
0.014647371292114257,
|
144 |
+
0.014499530792236329,
|
145 |
+
0.01476593017578125,
|
146 |
+
0.013824009895324707,
|
147 |
+
0.013440329551696778,
|
148 |
+
0.013841130256652833,
|
149 |
+
0.013611530303955078,
|
150 |
+
0.013371210098266601,
|
151 |
+
0.01359617042541504,
|
152 |
+
0.013345450401306152,
|
153 |
+
0.013458089828491211,
|
154 |
+
0.013346888542175294,
|
155 |
+
0.013369609832763672,
|
156 |
+
0.013336810111999511,
|
157 |
+
0.013663049697875976,
|
158 |
+
0.013353289604187012,
|
159 |
+
0.01336417007446289,
|
160 |
+
0.013614728927612304,
|
161 |
+
0.013328008651733399,
|
162 |
+
0.013321610450744628,
|
163 |
+
0.013592169761657715,
|
164 |
+
0.013354889869689942,
|
165 |
+
0.013399688720703126,
|
166 |
+
0.013342570304870606,
|
167 |
+
0.013345769882202149,
|
168 |
+
0.01332433032989502,
|
169 |
+
0.013886409759521484,
|
170 |
+
0.01335377025604248,
|
171 |
+
0.013385929107666016,
|
172 |
+
0.013403209686279297,
|
173 |
+
0.014123690605163575,
|
174 |
+
0.014078249931335449,
|
175 |
+
0.01442961025238037,
|
176 |
+
0.013923211097717285,
|
177 |
+
0.014243049621582031,
|
178 |
+
0.013986889839172362,
|
179 |
+
0.014106889724731446,
|
180 |
+
0.013379050254821776,
|
181 |
+
0.013961130142211915,
|
182 |
+
0.013375370025634766,
|
183 |
+
0.013391050338745117,
|
184 |
+
0.013435529708862306,
|
185 |
+
0.01335873031616211,
|
186 |
+
0.01390896987915039,
|
187 |
+
0.01347169017791748,
|
188 |
+
0.013305608749389648,
|
189 |
+
0.01336320972442627,
|
190 |
+
0.013369609832763672,
|
191 |
+
0.013444169998168946,
|
192 |
+
0.013810569763183594,
|
193 |
+
0.01341921043395996,
|
194 |
+
0.013517448425292969,
|
195 |
+
0.013344809532165528,
|
196 |
+
0.013305290222167969
|
|
|
|
|
|
|
197 |
]
|
198 |
},
|
199 |
"throughput": {
|
200 |
"unit": "samples/s",
|
201 |
+
"value": 72.65540911170623
|
202 |
},
|
203 |
"energy": null,
|
204 |
"efficiency": null
|