IlyasMoutawwakil's picture
Upload cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub
a6e077f verified
raw
history blame
6.06 kB
{
"config": {
"name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_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": "cuda",
"device_ids": "0",
"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": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 4222.32064,
"max_global_vram": 6157.76256,
"max_process_vram": 0.0,
"max_reserved": 5572.132864,
"max_allocated": 5513.289728
},
"latency": {
"unit": "s",
"count": 1,
"total": 48.398578125,
"mean": 48.398578125,
"stdev": 0.0,
"p50": 48.398578125,
"p90": 48.398578125,
"p95": 48.398578125,
"p99": 48.398578125,
"values": [
48.398578125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00048767440545486164,
"ram": 0.00026727248492154247,
"gpu": 0.0006665705332560001,
"total": 0.001421517423632404
},
"efficiency": null
},
"call": {
"memory": {
"unit": "MB",
"max_ram": 1353.056256,
"max_global_vram": 8150.05696,
"max_process_vram": 0.0,
"max_reserved": 7495.221248,
"max_allocated": 6532.102144
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.2952549438476562,
"mean": 0.6476274719238281,
"stdev": 2.999877929688033e-05,
"p50": 0.6476274719238281,
"p90": 0.6476514709472656,
"p95": 0.6476544708251952,
"p99": 0.647656870727539,
"values": [
0.6475974731445312,
0.647657470703125
]
},
"throughput": {
"unit": "images/s",
"value": 1.544097561256044
},
"energy": {
"unit": "kWh",
"cpu": 7.671273339583115e-06,
"ram": 4.1965309804835174e-06,
"gpu": 4.121128296900043e-05,
"total": 5.307908728906706e-05
},
"efficiency": {
"unit": "images/kWh",
"value": 18839.811516615406
}
}
}
}