File size: 4,992 Bytes
			
			| f61cade b1bc39c f61cade 22a4551 1e1b836 f61cade 1e1b836 f61cade cfef977 f61cade e9527f6 f61cade b1bc39c f61cade 0cdffd1 f61cade faa613a f61cade 22a4551 f61cade 0136ebc f61cade faa613a f61cade faa613a f61cade faa613a f61cade faa613a f61cade faa613a f61cade faa613a f61cade faa613a f61cade | 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 | {
    "config": {
        "name": "cuda_inference_diffusers_stable-diffusion_CompVis/stable-diffusion-v1-4",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cu121",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "stable-diffusion",
            "library": "diffusers",
            "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": {},
            "hub_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,
            "latency": true,
            "memory": 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": 66697.29792,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.215-203.850.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": "0.2.1",
            "optimum_benchmark_commit": null,
            "transformers_version": "4.41.1",
            "transformers_commit": null,
            "accelerate_version": "0.30.1",
            "accelerate_commit": null,
            "diffusers_version": "0.27.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.3",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "call": {
            "memory": {
                "unit": "MB",
                "max_ram": 1304.956928,
                "max_global_vram": 8143.765504,
                "max_process_vram": 0.0,
                "max_reserved": 7488.929792,
                "max_allocated": 6528.907264
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 1.271260986328125,
                "mean": 0.6356304931640625,
                "stdev": 0.0016174926757812624,
                "p50": 0.6356304931640625,
                "p90": 0.6369244873046875,
                "p95": 0.6370862365722656,
                "p99": 0.6372156359863281,
                "values": [
                    0.6372479858398438,
                    0.6340130004882812
                ]
            },
            "throughput": {
                "unit": "images/s",
                "value": 1.5732410744207173
            },
            "energy": {
                "unit": "kWh",
                "cpu": 7.507175538274977e-06,
                "ram": 4.106399692773266e-06,
                "gpu": 4.3452256983999866e-05,
                "total": 5.506583221504811e-05
            },
            "efficiency": {
                "unit": "images/kWh",
                "value": 18160.081483826645
            }
        }
    }
} | 
