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
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "token-classification",
|
9 |
"library": "transformers",
|
@@ -65,7 +65,7 @@
|
|
65 |
"name": "process",
|
66 |
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
|
67 |
"device_isolation": true,
|
68 |
-
"device_isolation_action": "
|
69 |
"numactl": false,
|
70 |
"numactl_kwargs": {},
|
71 |
"start_method": "spawn"
|
@@ -95,7 +95,7 @@
|
|
95 |
"optimum_benchmark_commit": null,
|
96 |
"transformers_version": "4.44.2",
|
97 |
"transformers_commit": null,
|
98 |
-
"accelerate_version": "0.
|
99 |
"accelerate_commit": null,
|
100 |
"diffusers_version": "0.30.2",
|
101 |
"diffusers_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": 773.849088,
|
118 |
"max_allocated": 736.603648
|
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,
|
@@ -138,91 +138,99 @@
|
|
138 |
"forward": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
-
"max_ram":
|
142 |
-
"max_global_vram":
|
143 |
-
"max_process_vram":
|
144 |
"max_reserved": 773.849088,
|
145 |
"max_allocated": 745.086976
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
-
"count":
|
150 |
-
"total":
|
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 |
]
|
222 |
},
|
223 |
"throughput": {
|
224 |
"unit": "samples/s",
|
225 |
-
"value":
|
226 |
},
|
227 |
"energy": null,
|
228 |
"efficiency": null
|
|
|
3 |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.3.1+rocm5.7",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "token-classification",
|
9 |
"library": "transformers",
|
|
|
65 |
"name": "process",
|
66 |
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
|
67 |
"device_isolation": true,
|
68 |
+
"device_isolation_action": "warn",
|
69 |
"numactl": false,
|
70 |
"numactl_kwargs": {},
|
71 |
"start_method": "spawn"
|
|
|
95 |
"optimum_benchmark_commit": null,
|
96 |
"transformers_version": "4.44.2",
|
97 |
"transformers_commit": null,
|
98 |
+
"accelerate_version": "0.34.0",
|
99 |
"accelerate_commit": null,
|
100 |
"diffusers_version": "0.30.2",
|
101 |
"diffusers_commit": null,
|
|
|
111 |
"load": {
|
112 |
"memory": {
|
113 |
"unit": "MB",
|
114 |
+
"max_ram": 1016.68864,
|
115 |
+
"max_global_vram": 68702.69952,
|
116 |
+
"max_process_vram": 43843.014656,
|
117 |
"max_reserved": 773.849088,
|
118 |
"max_allocated": 736.603648
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
+
"total": 7.66571240234375,
|
124 |
+
"mean": 7.66571240234375,
|
125 |
"stdev": 0.0,
|
126 |
+
"p50": 7.66571240234375,
|
127 |
+
"p90": 7.66571240234375,
|
128 |
+
"p95": 7.66571240234375,
|
129 |
+
"p99": 7.66571240234375,
|
130 |
"values": [
|
131 |
+
7.66571240234375
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
|
|
138 |
"forward": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
+
"max_ram": 1177.325568,
|
142 |
+
"max_global_vram": 68702.69952,
|
143 |
+
"max_process_vram": 293384.531968,
|
144 |
"max_reserved": 773.849088,
|
145 |
"max_allocated": 745.086976
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
+
"count": 71,
|
150 |
+
"total": 0.9947053194046018,
|
151 |
+
"mean": 0.014009934076121156,
|
152 |
+
"stdev": 0.0008850763659355059,
|
153 |
+
"p50": 0.013971462249755859,
|
154 |
+
"p90": 0.015139296531677246,
|
155 |
+
"p95": 0.015340336322784424,
|
156 |
+
"p99": 0.01567070302963257,
|
157 |
"values": [
|
158 |
+
0.016102012634277345,
|
159 |
+
0.015485856056213379,
|
160 |
+
0.015406496047973632,
|
161 |
+
0.015186818122863769,
|
162 |
+
0.015274176597595215,
|
163 |
+
0.014164740562438966,
|
164 |
+
0.014545379638671875,
|
165 |
+
0.014351300239562988,
|
166 |
+
0.014508099555969238,
|
167 |
+
0.01477945899963379,
|
168 |
+
0.014721058845520019,
|
169 |
+
0.014893218040466309,
|
170 |
+
0.01547001552581787,
|
171 |
+
0.015001538276672364,
|
172 |
+
0.014932099342346192,
|
173 |
+
0.014813379287719726,
|
174 |
+
0.015046817779541016,
|
175 |
+
0.014731300354003907,
|
176 |
+
0.014762498855590821,
|
177 |
+
0.015005858421325683,
|
178 |
+
0.015215617179870605,
|
179 |
+
0.014870338439941407,
|
180 |
+
0.014925857543945313,
|
181 |
+
0.014255141258239746,
|
182 |
+
0.014014021873474121,
|
183 |
+
0.014308420181274414,
|
184 |
+
0.014259140968322754,
|
185 |
+
0.01428778076171875,
|
186 |
+
0.014798978805541992,
|
187 |
+
0.014630820274353027,
|
188 |
+
0.014331299781799317,
|
189 |
+
0.013957382202148438,
|
190 |
+
0.013946343421936035,
|
191 |
+
0.013971462249755859,
|
192 |
+
0.014202820777893066,
|
193 |
+
0.013884902000427246,
|
194 |
+
0.014009222030639649,
|
195 |
+
0.013684423446655273,
|
196 |
+
0.014312420845031738,
|
197 |
+
0.015139296531677246,
|
198 |
+
0.012840746879577637,
|
199 |
+
0.012649067878723145,
|
200 |
+
0.013093706130981445,
|
201 |
+
0.012667628288269043,
|
202 |
+
0.012633227348327636,
|
203 |
+
0.01262858772277832,
|
204 |
+
0.012697386741638183,
|
205 |
+
0.012585707664489746,
|
206 |
+
0.012530028343200683,
|
207 |
+
0.012651147842407227,
|
208 |
+
0.012844905853271485,
|
209 |
+
0.012659788131713867,
|
210 |
+
0.012717706680297852,
|
211 |
+
0.013252904891967773,
|
212 |
+
0.013524104118347167,
|
213 |
+
0.013833063125610352,
|
214 |
+
0.0138173828125,
|
215 |
+
0.013788582801818848,
|
216 |
+
0.013542023658752442,
|
217 |
+
0.013810663223266602,
|
218 |
+
0.013643142700195312,
|
219 |
+
0.013359145164489746,
|
220 |
+
0.013185065269470215,
|
221 |
+
0.013537384033203126,
|
222 |
+
0.013786502838134766,
|
223 |
+
0.013424263954162598,
|
224 |
+
0.013113705635070801,
|
225 |
+
0.013233545303344727,
|
226 |
+
0.013866983413696288,
|
227 |
+
0.013484423637390136,
|
228 |
+
0.013114983558654786
|
229 |
]
|
230 |
},
|
231 |
"throughput": {
|
232 |
"unit": "samples/s",
|
233 |
+
"value": 71.37792330546525
|
234 |
},
|
235 |
"energy": null,
|
236 |
"efficiency": null
|