IlyasMoutawwakil's picture
Upload cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch/benchmark.json with huggingface_hub
0533882 verified
raw
history blame
8.13 kB
{
"config": {
"name": "cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch",
"backend": {
"name": "pytorch",
"version": "2.8.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"model": "hf-internal-testing/tiny-stable-diffusion-torch",
"processor": "hf-internal-testing/tiny-stable-diffusion-torch",
"task": "text-to-image",
"library": "diffusers",
"model_type": "stable-diffusion",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": false,
"tp_plan": null,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"allow_tf32": false,
"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": 16772.579328,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.11.0-1018-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.18",
"optimum_benchmark_version": "0.7.0.dev0",
"optimum_benchmark_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
"transformers_version": "4.55.2",
"transformers_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
"accelerate_version": "1.10.0",
"accelerate_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
"diffusers_version": "0.35.0",
"diffusers_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.19",
"timm_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7",
"peft_version": "0.17.0",
"peft_commit": "995370fefa161a95ab97b2c42f8d2023f1a1edb7"
},
"print_report": true,
"log_report": true
},
"report": {
"load_model": {
"memory": {
"unit": "MB",
"max_ram": 947.67104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.3779626010000072
],
"count": 1,
"total": 1.3779626010000072,
"mean": 1.3779626010000072,
"p50": 1.3779626010000072,
"p90": 1.3779626010000072,
"p95": 1.3779626010000072,
"p99": 1.3779626010000072,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00010482625851809307,
"ram": 1.7980435958333314e-05,
"gpu": 0.0,
"total": 0.0001228066944764264
},
"efficiency": null
},
"first_call": {
"memory": {
"unit": "MB",
"max_ram": 1034.125312,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
2.42187941200001
],
"count": 1,
"total": 2.42187941200001,
"mean": 2.42187941200001,
"p50": 2.42187941200001,
"p90": 2.42187941200001,
"p95": 2.42187941200001,
"p99": 2.42187941200001,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00018276364774772738,
"ram": 2.0946867613888918e-05,
"gpu": 0.0,
"total": 0.0002037105153616163
},
"efficiency": null
},
"call": {
"memory": {
"unit": "MB",
"max_ram": 1055.096832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.8846347679999838
],
"count": 1,
"total": 1.8846347679999838,
"mean": 1.8846347679999838,
"p50": 1.8846347679999838,
"p90": 1.8846347679999838,
"p95": 1.8846347679999838,
"p99": 1.8846347679999838,
"stdev": 0,
"stdev_": 0
},
"throughput": {
"unit": "images/s",
"value": 1.0612135751493348
},
"energy": {
"unit": "kWh",
"cpu": 5.433457105250185e-05,
"ram": 6.644349552777761e-06,
"gpu": 0.0,
"total": 6.0978920605279615e-05
},
"efficiency": {
"unit": "images/kWh",
"value": 32798.21912470583
}
},
"per_step": {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.5605858810000086,
0.5586706750000019
],
"count": 2,
"total": 1.1192565560000105,
"mean": 0.5596282780000053,
"p50": 0.5596282780000053,
"p90": 0.5603943604000079,
"p95": 0.5604901207000083,
"p99": 0.5605667289400086,
"stdev": 0.0009576030000033597,
"stdev_": 0.1711141194339988
},
"throughput": null,
"energy": null,
"efficiency": null
}
}
}