Upload cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub
Browse files
cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "text-to-image",
|
9 |
"library": "diffusers",
|
@@ -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"
|
@@ -103,7 +103,7 @@
|
|
103 |
"optimum_commit": null,
|
104 |
"timm_version": "1.0.9",
|
105 |
"timm_commit": null,
|
106 |
-
"peft_version":
|
107 |
"peft_commit": null
|
108 |
}
|
109 |
},
|
@@ -111,24 +111,24 @@
|
|
111 |
"load": {
|
112 |
"memory": {
|
113 |
"unit": "MB",
|
114 |
-
"max_ram":
|
115 |
"max_global_vram": 68702.69952,
|
116 |
-
"max_process_vram":
|
117 |
-
"max_reserved":
|
118 |
-
"max_allocated":
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
-
"total": 11.
|
124 |
-
"mean": 11.
|
125 |
"stdev": 0.0,
|
126 |
-
"p50": 11.
|
127 |
-
"p90": 11.
|
128 |
-
"p95": 11.
|
129 |
-
"p99": 11.
|
130 |
"values": [
|
131 |
-
11.
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
@@ -138,30 +138,31 @@
|
|
138 |
"call": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
-
"max_ram":
|
142 |
"max_global_vram": 68702.69952,
|
143 |
-
"max_process_vram":
|
144 |
-
"max_reserved":
|
145 |
-
"max_allocated":
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
-
"count":
|
150 |
-
"total": 1.
|
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 |
]
|
161 |
},
|
162 |
"throughput": {
|
163 |
"unit": "images/s",
|
164 |
-
"value":
|
165 |
},
|
166 |
"energy": null,
|
167 |
"efficiency": null
|
|
|
3 |
"name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.3.1+rocm5.7",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "text-to-image",
|
9 |
"library": "diffusers",
|
|
|
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"
|
|
|
103 |
"optimum_commit": null,
|
104 |
"timm_version": "1.0.9",
|
105 |
"timm_commit": null,
|
106 |
+
"peft_version": "0.12.0",
|
107 |
"peft_commit": null
|
108 |
}
|
109 |
},
|
|
|
111 |
"load": {
|
112 |
"memory": {
|
113 |
"unit": "MB",
|
114 |
+
"max_ram": 4500.291584,
|
115 |
"max_global_vram": 68702.69952,
|
116 |
+
"max_process_vram": 407310.618624,
|
117 |
+
"max_reserved": 5603.590144,
|
118 |
+
"max_allocated": 5508.440064
|
119 |
},
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 1,
|
123 |
+
"total": 11.2312275390625,
|
124 |
+
"mean": 11.2312275390625,
|
125 |
"stdev": 0.0,
|
126 |
+
"p50": 11.2312275390625,
|
127 |
+
"p90": 11.2312275390625,
|
128 |
+
"p95": 11.2312275390625,
|
129 |
+
"p99": 11.2312275390625,
|
130 |
"values": [
|
131 |
+
11.2312275390625
|
132 |
]
|
133 |
},
|
134 |
"throughput": null,
|
|
|
138 |
"call": {
|
139 |
"memory": {
|
140 |
"unit": "MB",
|
141 |
+
"max_ram": 1350.22592,
|
142 |
"max_global_vram": 68702.69952,
|
143 |
+
"max_process_vram": 5426443.399168,
|
144 |
+
"max_reserved": 9026.142208,
|
145 |
+
"max_allocated": 8663.85664
|
146 |
},
|
147 |
"latency": {
|
148 |
"unit": "s",
|
149 |
+
"count": 3,
|
150 |
+
"total": 1.4418100891113281,
|
151 |
+
"mean": 0.4806033630371094,
|
152 |
+
"stdev": 0.00027408106205475795,
|
153 |
+
"p50": 0.480602294921875,
|
154 |
+
"p90": 0.480872119140625,
|
155 |
+
"p95": 0.48090584716796875,
|
156 |
+
"p99": 0.48093282958984374,
|
157 |
"values": [
|
158 |
+
0.4802682189941406,
|
159 |
+
0.4809395751953125,
|
160 |
+
0.480602294921875
|
161 |
]
|
162 |
},
|
163 |
"throughput": {
|
164 |
"unit": "images/s",
|
165 |
+
"value": 2.0807178578207033
|
166 |
},
|
167 |
"energy": null,
|
168 |
"efficiency": null
|