File size: 5,895 Bytes
81d74b0 4daed91 81d74b0 19cbfee 7d2a5a1 48a870b 81d74b0 48a870b 81d74b0 d02a8d7 81d74b0 aa3aa1c 81d74b0 9749b81 83108dc 81d74b0 c92fe48 81d74b0 4daed91 81d74b0 a6aeea5 d0ad19a c92fe48 4daed91 81d74b0 4daed91 81d74b0 4daed91 81d74b0 5adcef9 81d74b0 4daed91 81d74b0 558823f a0fff18 81d74b0 aa3aa1c c92fe48 aa3aa1c b86cd83 c92fe48 d9b4d3d c92fe48 d9b4d3d aa3aa1c 5adcef9 aa3aa1c 81d74b0 c92fe48 81d74b0 c92fe48 d9b4d3d b78951e c92fe48 81d74b0 c92fe48 81d74b0 c92fe48 81d74b0 c92fe48 81d74b0 c92fe48 81d74b0 |
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 |
{
"config": {
"name": "cpu_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model_type": "vit",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"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": 2,
"sequence_length": 16,
"num_choices": 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": 16757.338112,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "7f5d48690ca4e72398f773487e70a5e7bfdf8cfd",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 828.055552,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.144846581999957
],
"count": 1,
"total": 1.144846581999957,
"mean": 1.144846581999957,
"p50": 1.144846581999957,
"p90": 1.144846581999957,
"p95": 1.144846581999957,
"p99": 1.144846581999957,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 851.841024,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5174813809999819,
0.4527976760000456,
0.4450968660000285
],
"count": 3,
"total": 1.415375923000056,
"mean": 0.471791974333352,
"p50": 0.4527976760000456,
"p90": 0.5045446399999947,
"p95": 0.5110130104999883,
"p99": 0.5161877068999832,
"stdev": 0.0324598935079954,
"stdev_": 6.880128377313251
},
"throughput": {
"unit": "samples/s",
"value": 4.239156468962884
},
"energy": {
"unit": "kWh",
"cpu": 1.746018406481527e-05,
"ram": 7.29730455598184e-07,
"gpu": 0.0,
"total": 1.8189914520413453e-05
},
"efficiency": {
"unit": "samples/kWh",
"value": 109951.03895378506
}
}
}
} |