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": "0.2.1",
|
86 |
-
"optimum_benchmark_commit": "
|
87 |
"transformers_version": "4.40.2",
|
88 |
"transformers_commit": null,
|
89 |
"accelerate_version": "0.30.1",
|
@@ -102,97 +102,103 @@
|
|
102 |
"forward": {
|
103 |
"memory": {
|
104 |
"unit": "MB",
|
105 |
-
"max_ram": 1027.
|
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":
|
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 |
]
|
192 |
},
|
193 |
"throughput": {
|
194 |
"unit": "samples/s",
|
195 |
-
"value":
|
196 |
},
|
197 |
"energy": null,
|
198 |
"efficiency": null
|
|
|
83 |
"gpu_count": 1,
|
84 |
"gpu_vram_mb": 68702699520,
|
85 |
"optimum_benchmark_version": "0.2.1",
|
86 |
+
"optimum_benchmark_commit": "c1d0b062e90b79e7705510c58cea731c0d90da8a",
|
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": 1027.346432,
|
106 |
+
"max_global_vram": 3104.018432,
|
107 |
+
"max_process_vram": 271740.768256,
|
108 |
"max_reserved": 773.849088,
|
109 |
"max_allocated": 745.087488
|
110 |
},
|
111 |
"latency": {
|
112 |
"unit": "s",
|
113 |
+
"count": 75,
|
114 |
+
"total": 0.9974413452148434,
|
115 |
+
"mean": 0.013299217936197916,
|
116 |
+
"stdev": 0.000568152500821051,
|
117 |
+
"p50": 0.01317185878753662,
|
118 |
+
"p90": 0.013781813049316407,
|
119 |
+
"p95": 0.014171349811553954,
|
120 |
+
"p99": 0.015809175891876224,
|
121 |
"values": [
|
122 |
+
0.0160128231048584,
|
123 |
+
0.013817781448364258,
|
124 |
+
0.013867541313171387,
|
125 |
+
0.014121622085571288,
|
126 |
+
0.013590740203857423,
|
127 |
+
0.013413140296936035,
|
128 |
+
0.013099059104919434,
|
129 |
+
0.013173139572143555,
|
130 |
+
0.01295442008972168,
|
131 |
+
0.013023059844970703,
|
132 |
+
0.013076019287109376,
|
133 |
+
0.013309301376342774,
|
134 |
+
0.013221460342407227,
|
135 |
+
0.013212499618530273,
|
136 |
+
0.013261139869689942,
|
137 |
+
0.013520819664001465,
|
138 |
+
0.013419380187988281,
|
139 |
+
0.013266579627990722,
|
140 |
+
0.013188019752502441,
|
141 |
+
0.013269140243530273,
|
142 |
+
0.013052338600158692,
|
143 |
+
0.015737624168395997,
|
144 |
+
0.013293780326843262,
|
145 |
+
0.013314580917358399,
|
146 |
+
0.012887059211730957,
|
147 |
+
0.013128179550170899,
|
148 |
+
0.012768499374389649,
|
149 |
+
0.013701781272888184,
|
150 |
+
0.013291060447692871,
|
151 |
+
0.013106419563293456,
|
152 |
+
0.012788819313049317,
|
153 |
+
0.012817460060119629,
|
154 |
+
0.013074099540710449,
|
155 |
+
0.012824978828430176,
|
156 |
+
0.012764820098876953,
|
157 |
+
0.013488499641418458,
|
158 |
+
0.012789138793945313,
|
159 |
+
0.012869460105895996,
|
160 |
+
0.013263219833374024,
|
161 |
+
0.013041939735412598,
|
162 |
+
0.012827058792114258,
|
163 |
+
0.013353779792785644,
|
164 |
+
0.012857139587402344,
|
165 |
+
0.013085140228271484,
|
166 |
+
0.01317185878753662,
|
167 |
+
0.013023538589477539,
|
168 |
+
0.013239700317382813,
|
169 |
+
0.013226900100708008,
|
170 |
+
0.012849300384521485,
|
171 |
+
0.013059220314025878,
|
172 |
+
0.013587380409240723,
|
173 |
+
0.012892339706420898,
|
174 |
+
0.01291585922241211,
|
175 |
+
0.013300020217895508,
|
176 |
+
0.012943699836730957,
|
177 |
+
0.013111700057983398,
|
178 |
+
0.013112979888916016,
|
179 |
+
0.014287381172180176,
|
180 |
+
0.014781622886657715,
|
181 |
+
0.0139837007522583,
|
182 |
+
0.013664340019226074,
|
183 |
+
0.013727860450744629,
|
184 |
+
0.013624180793762207,
|
185 |
+
0.013645140647888184,
|
186 |
+
0.01303217887878418,
|
187 |
+
0.012878740310668945,
|
188 |
+
0.012804979324340821,
|
189 |
+
0.013015859603881836,
|
190 |
+
0.013371700286865235,
|
191 |
+
0.01300625991821289,
|
192 |
+
0.012907697677612304,
|
193 |
+
0.01296642017364502,
|
194 |
+
0.013452500343322753,
|
195 |
+
0.013006099700927734,
|
196 |
+
0.012905619621276855
|
197 |
]
|
198 |
},
|
199 |
"throughput": {
|
200 |
"unit": "samples/s",
|
201 |
+
"value": 75.19239137199129
|
202 |
},
|
203 |
"energy": null,
|
204 |
"efficiency": null
|