File size: 5,867 Bytes
cb9f4b4 9e83aa4 cb9f4b4 b77d999 cb9f4b4 5ad9d59 cb9f4b4 3e95c74 cb9f4b4 64d9ad7 cb9f4b4 a470e0a cb9f4b4 9af80ac 64d9ad7 c34e986 cb9f4b4 efd981c cb9f4b4 1e685e1 cb9f4b4 c34e986 cb9f4b4 e063096 cb9f4b4 5ad9d59 64d9ad7 5ad9d59 64d9ad7 5ad9d59 64d9ad7 5ad9d59 64d9ad7 5ad9d59 64d9ad7 5ad9d59 64d9ad7 5ad9d59 cb9f4b4 64d9ad7 cb9f4b4 64d9ad7 cb9f4b4 64d9ad7 cb9f4b4 64d9ad7 cb9f4b4 64d9ad7 cb9f4b4 64d9ad7 cb9f4b4 64d9ad7 cb9f4b4 64d9ad7 cb9f4b4 |
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_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-to-image",
"library": "diffusers",
"model_type": "stable-diffusion",
"model": "CompVis/stable-diffusion-v1-4",
"processor": "CompVis/stable-diffusion-v1-4",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": false,
"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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "8e57994b5ce38f2b6b651d101ec502f7ee7fbb9a",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 555.266048,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 38.69286721599997,
"mean": 38.69286721599997,
"stdev": 0.0,
"p50": 38.69286721599997,
"p90": 38.69286721599997,
"p95": 38.69286721599997,
"p99": 38.69286721599997,
"values": [
38.69286721599997
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.0013776861464333315,
"ram": 5.7591080729783506e-05,
"gpu": 0,
"total": 0.0014352772271631151
},
"efficiency": null
},
"call": {
"memory": {
"unit": "MB",
"max_ram": 5914.464256,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 49.42167943400011,
"mean": 49.42167943400011,
"stdev": 0.0,
"p50": 49.42167943400011,
"p90": 49.42167943400011,
"p95": 49.42167943400011,
"p99": 49.42167943400011,
"values": [
49.42167943400011
]
},
"throughput": {
"unit": "images/s",
"value": 0.02023403517347977
},
"energy": {
"unit": "kWh",
"cpu": 0.0019222153149500028,
"ram": 8.035406176318647e-05,
"gpu": 0.0,
"total": 0.0020025693767131893
},
"efficiency": {
"unit": "images/kWh",
"value": 499.3584799750093
}
}
}
} |