File size: 6,013 Bytes
81d74b0 8816e43 81d74b0 19cbfee 7d2a5a1 48a870b 81d74b0 48a870b 81d74b0 aa3aa1c 81d74b0 83108dc 81d74b0 d70de2e 81d74b0 a8b429f 81d74b0 324f955 d70de2e 3f1ec13 81d74b0 a8b429f 81d74b0 8816e43 81d74b0 8816e43 81d74b0 aa3aa1c d70de2e aa3aa1c d70de2e aa3aa1c d70de2e aa3aa1c d70de2e aa3aa1c d70de2e aa3aa1c d70de2e aa3aa1c 81d74b0 d70de2e 81d74b0 c2cfe3e d70de2e 81d74b0 d70de2e 81d74b0 d70de2e 81d74b0 d70de2e 81d74b0 d70de2e 81d74b0 d70de2e 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 |
{
"config": {
"name": "cpu_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": 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": "error",
"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-6.5.0-1023-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "d0c0a5c5918412583a4f2490ab7e3d1b48375998",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 777.977856,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.528894871000034,
"mean": 4.528894871000034,
"stdev": 0.0,
"p50": 4.528894871000034,
"p90": 4.528894871000034,
"p95": 4.528894871000034,
"p99": 4.528894871000034,
"values": [
4.528894871000034
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.3719307316674135e-05,
"ram": 2.2452540232443615e-06,
"gpu": 0,
"total": 5.59645613399185e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 809.49248,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 4,
"total": 1.060449019000032,
"mean": 0.265112254750008,
"stdev": 0.012985940103883264,
"p50": 0.2692142395000019,
"p90": 0.2767414807000307,
"p95": 0.2768667413500367,
"p99": 0.2769669498700415,
"values": [
0.2761569310000027,
0.2769920020000427,
0.2622715480000011,
0.24502853799998547
]
},
"throughput": {
"unit": "samples/s",
"value": 3.771987081257208
},
"energy": {
"unit": "kWh",
"cpu": 9.523958894941543e-06,
"ram": 3.9803983557999344e-07,
"gpu": 0.0,
"total": 9.921998730521536e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 100786.14472342674
}
}
}
} |