IlyasMoutawwakil's picture
Upload cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch/benchmark.json with huggingface_hub
c2cd5ae verified
{
"config": {
"name": "cpu_inference_diffusers_text-to-image_hf-internal-testing/tiny-stable-diffusion-torch",
"backend": {
"name": "pytorch",
"version": "2.5.1",
"_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 7742 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 540671.643648,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.4.0-166-generic-x86_64-with-glibc2.31",
"processor": "x86_64",
"python_version": "3.10.18",
"gpu": [
"NVIDIA A100-SXM4-80GB",
"NVIDIA A100-SXM4-80GB",
"NVIDIA A100-SXM4-80GB",
"NVIDIA DGX Display",
"NVIDIA A100-SXM4-80GB"
],
"gpu_count": 5,
"gpu_vram_mb": 347892350976,
"optimum_benchmark_version": "0.6.0.dev0",
"optimum_benchmark_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
"transformers_version": "4.45.1",
"transformers_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
"accelerate_version": "1.10.0",
"accelerate_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
"diffusers_version": "0.34.0",
"diffusers_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.19",
"timm_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
"peft_version": "0.17.0",
"peft_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db"
},
"print_report": true,
"log_report": true
},
"report": {
"load_model": {
"memory": {
"unit": "MB",
"max_ram": 680.431616,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6742532183416188
],
"count": 1,
"total": 0.6742532183416188,
"mean": 0.6742532183416188,
"p50": 0.6742532183416188,
"p90": 0.6742532183416188,
"p95": 0.6742532183416188,
"p99": 0.6742532183416188,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00017666592124442103,
"ram": 0.0002965177055206111,
"gpu": 0.0004480556362267407,
"total": 0.0009212392629917728
},
"efficiency": null
},
"first_call": {
"memory": {
"unit": "MB",
"max_ram": 779.108352,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5517216552980244
],
"count": 1,
"total": 0.5517216552980244,
"mean": 0.5517216552980244,
"p50": 0.5517216552980244,
"p90": 0.5517216552980244,
"p95": 0.5517216552980244,
"p99": 0.5517216552980244,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.0001706013792136218,
"ram": 0.00028633821720513677,
"gpu": 0.0004524906397662676,
"total": 0.0009094302361850263
},
"efficiency": null
},
"call": {
"memory": {
"unit": "MB",
"max_ram": 812.261376,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.3780691958963871,
0.3844814212061465,
0.37072358187288046
],
"count": 3,
"total": 1.133274198975414,
"mean": 0.37775806632513803,
"p50": 0.3780691958963871,
"p90": 0.3831989761441946,
"p95": 0.38384019867517055,
"p99": 0.3843531766999513,
"stdev": 0.005620921453971145,
"stdev_": 1.4879686114056907
},
"throughput": {
"unit": "images/s",
"value": 5.294393894632527
},
"energy": {
"unit": "kWh",
"cpu": 1.1876363409101027e-05,
"ram": 1.9930023684434765e-05,
"gpu": 2.9147245539225725e-05,
"total": 6.0953632632761665e-05
},
"efficiency": {
"unit": "images/kWh",
"value": 32811.826196639675
}
},
"per_step": {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.10889927484095097,
0.11024577030912042,
0.10889927484095097,
0.11024577030912042,
0.15924190590158105,
0.10975479986518621,
0.11464154301211238,
0.10889927484095097,
0.11024577030912042,
0.15924190590158105,
0.10975479986518621,
0.11464154301211238,
0.15594237903133035,
0.10731132794171572,
0.10624416591599584
],
"count": 15,
"total": 1.7942095058970153,
"mean": 0.11961396705980103,
"p50": 0.11024577030912042,
"p90": 0.15792209515348077,
"p95": 0.15924190590158105,
"p99": 0.15924190590158105,
"stdev": 0.019394443668980483,
"stdev_": 16.214196507071975
},
"throughput": null,
"energy": null,
"efficiency": null
}
}
}