File size: 6,222 Bytes
ca6662f bc7ad82 ca6662f 18daebf 8264ddb 1e13fe3 ca6662f 1e13fe3 ca6662f 6c88b97 ca6662f 3d752bd 98b597a ca6662f 958a2d2 ca6662f dc9af2f ca6662f dc9af2f a4059ef 958a2d2 ca6662f 315363e ca6662f 315363e ca6662f 958a2d2 ca6662f 937a95b ca6662f b09e33f ca6662f 6c88b97 379d189 6c88b97 9dd3dfa 379d189 958a2d2 379d189 958a2d2 6c88b97 379d189 6c88b97 379d189 6c88b97 ca6662f 379d189 ca6662f 9dd3dfa 379d189 958a2d2 379d189 ca6662f 379d189 ca6662f 379d189 ca6662f 379d189 ca6662f 379d189 ca6662f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 |
{
"config": {
"name": "cpu_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "11fc1578907ddfc66a9a7fb8f19815e001677ad1",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": "1.22.0",
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1262.014464,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
4.8981159130000265
],
"count": 1,
"total": 4.8981159130000265,
"mean": 4.8981159130000265,
"p50": 4.8981159130000265,
"p90": 4.8981159130000265,
"p95": 4.8981159130000265,
"p99": 4.8981159130000265,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.817909225555671e-05,
"ram": 2.8513310359247166e-06,
"gpu": 0,
"total": 7.103042329148143e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1285.738496,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.20639314900000727,
0.20626805199998444,
0.155545037999957,
0.12088284599997223,
0.12056584900000189,
0.12042847100002518,
0.12107333000000153
],
"count": 7,
"total": 1.0511567349999495,
"mean": 0.15016524785713564,
"p50": 0.12107333000000153,
"p90": 0.20631809079999358,
"p95": 0.20635561990000043,
"p99": 0.2063856431800059,
"stdev": 0.03742085494802542,
"stdev_": 24.919783692979955
},
"throughput": {
"unit": "samples/s",
"value": 6.659330399476855
},
"energy": {
"unit": "kWh",
"cpu": 4.842952354938342e-06,
"ram": 2.02516446368323e-07,
"gpu": 0.0,
"total": 5.045468801306666e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 198197.6381939022
}
}
}
} |