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
@@ -83,7 +83,7 @@
|
|
83 |
"gpu_count": 1,
|
84 |
"gpu_vram_mb": 68702699520,
|
85 |
"optimum_benchmark_version": "0.2.0",
|
86 |
-
"optimum_benchmark_commit": "
|
87 |
"transformers_version": "4.40.2",
|
88 |
"transformers_commit": null,
|
89 |
"accelerate_version": "0.30.1",
|
@@ -102,101 +102,104 @@
|
|
102 |
"forward": {
|
103 |
"memory": {
|
104 |
"unit": "MB",
|
105 |
-
"max_ram":
|
106 |
-
"max_global_vram":
|
107 |
-
"max_process_vram":
|
108 |
"max_reserved": 773.849088,
|
109 |
"max_allocated": 745.087488
|
110 |
},
|
111 |
"latency": {
|
112 |
"unit": "s",
|
113 |
-
"count":
|
114 |
-
"total": 1.
|
115 |
-
"mean": 0.
|
116 |
-
"stdev": 0.
|
117 |
-
"p50": 0.
|
118 |
-
"p90": 0.
|
119 |
-
"p95": 0.
|
120 |
-
"p99": 0.
|
121 |
"values": [
|
122 |
-
0.
|
123 |
-
0.
|
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 |
]
|
196 |
},
|
197 |
"throughput": {
|
198 |
"unit": "samples/s",
|
199 |
-
"value":
|
200 |
},
|
201 |
"energy": null,
|
202 |
"efficiency": null
|
|
|
83 |
"gpu_count": 1,
|
84 |
"gpu_vram_mb": 68702699520,
|
85 |
"optimum_benchmark_version": "0.2.0",
|
86 |
+
"optimum_benchmark_commit": "519f5ad32b6cd1fea2bd501503e24d19a1e23c22",
|
87 |
"transformers_version": "4.40.2",
|
88 |
"transformers_commit": null,
|
89 |
"accelerate_version": "0.30.1",
|
|
|
102 |
"forward": {
|
103 |
"memory": {
|
104 |
"unit": "MB",
|
105 |
+
"max_ram": 1026.02752,
|
106 |
+
"max_global_vram": 2748.563456,
|
107 |
+
"max_process_vram": 291436.978176,
|
108 |
"max_reserved": 773.849088,
|
109 |
"max_allocated": 745.087488
|
110 |
},
|
111 |
"latency": {
|
112 |
"unit": "s",
|
113 |
+
"count": 76,
|
114 |
+
"total": 1.007524724006653,
|
115 |
+
"mean": 0.01325690426324543,
|
116 |
+
"stdev": 0.0006684026301356472,
|
117 |
+
"p50": 0.012951571941375733,
|
118 |
+
"p90": 0.014346209526062012,
|
119 |
+
"p95": 0.014461408853530883,
|
120 |
+
"p99": 0.01484936785697937,
|
121 |
"values": [
|
122 |
+
0.015529887199401855,
|
123 |
+
0.014364768981933593,
|
124 |
+
0.014325408935546876,
|
125 |
+
0.014318689346313477,
|
126 |
+
0.014326370239257813,
|
127 |
+
0.01433388900756836,
|
128 |
+
0.014277249336242677,
|
129 |
+
0.014437249183654785,
|
130 |
+
0.014348770141601562,
|
131 |
+
0.014451008796691894,
|
132 |
+
0.014317568778991699,
|
133 |
+
0.014492609024047852,
|
134 |
+
0.014343648910522462,
|
135 |
+
0.01308701229095459,
|
136 |
+
0.012704453468322753,
|
137 |
+
0.012703012466430665,
|
138 |
+
0.012919013023376464,
|
139 |
+
0.012730691909790039,
|
140 |
+
0.012754053115844726,
|
141 |
+
0.012974692344665526,
|
142 |
+
0.012708292961120606,
|
143 |
+
0.012783013343811035,
|
144 |
+
0.012948612213134765,
|
145 |
+
0.012770691871643066,
|
146 |
+
0.012777732849121095,
|
147 |
+
0.012994372367858886,
|
148 |
+
0.012730692863464356,
|
149 |
+
0.012721412658691407,
|
150 |
+
0.012996453285217285,
|
151 |
+
0.012794692039489746,
|
152 |
+
0.012742853164672852,
|
153 |
+
0.012756612777709961,
|
154 |
+
0.012696453094482422,
|
155 |
+
0.01301501178741455,
|
156 |
+
0.012778372764587402,
|
157 |
+
0.01276941204071045,
|
158 |
+
0.01300285243988037,
|
159 |
+
0.01273757266998291,
|
160 |
+
0.012778853416442871,
|
161 |
+
0.012975491523742676,
|
162 |
+
0.012681093215942383,
|
163 |
+
0.01273869228363037,
|
164 |
+
0.013248612403869629,
|
165 |
+
0.012954531669616699,
|
166 |
+
0.012799972534179688,
|
167 |
+
0.013232770919799805,
|
168 |
+
0.012769573211669922,
|
169 |
+
0.012782692909240723,
|
170 |
+
0.013044452667236328,
|
171 |
+
0.012795493125915528,
|
172 |
+
0.012836612701416016,
|
173 |
+
0.013113571166992187,
|
174 |
+
0.012787013053894044,
|
175 |
+
0.012770052909851073,
|
176 |
+
0.014622528076171875,
|
177 |
+
0.01336925220489502,
|
178 |
+
0.013881409645080566,
|
179 |
+
0.01456044864654541,
|
180 |
+
0.01358428955078125,
|
181 |
+
0.013572291374206543,
|
182 |
+
0.013431971549987792,
|
183 |
+
0.013588770866394043,
|
184 |
+
0.013832450866699219,
|
185 |
+
0.013484451293945312,
|
186 |
+
0.012767011642456055,
|
187 |
+
0.012796612739562988,
|
188 |
+
0.013047492027282715,
|
189 |
+
0.012832932472229004,
|
190 |
+
0.013159972190856933,
|
191 |
+
0.012858053207397462,
|
192 |
+
0.012831011772155761,
|
193 |
+
0.012857253074645997,
|
194 |
+
0.013220610618591309,
|
195 |
+
0.01284013271331787,
|
196 |
+
0.01280989170074463,
|
197 |
+
0.012801252365112304
|
198 |
]
|
199 |
},
|
200 |
"throughput": {
|
201 |
"unit": "samples/s",
|
202 |
+
"value": 75.43239206852274
|
203 |
},
|
204 |
"energy": null,
|
205 |
"efficiency": null
|