{ "config": { "name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "image-classification", "library": "timm", "model_type": "resnet50", "model": "timm/resnet50.a1_in1k", "processor": "timm/resnet50.a1_in1k", "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, "memory": true, "latency": true, "energy": false, "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 7763 64-Core Processor", "cpu_count": 128, "cpu_ram_mb": 1082015.236096, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 1, "gpu_vram_mb": 68702699520, "optimum_benchmark_version": "0.3.1", "optimum_benchmark_commit": "bc977b19adf337e8eb02985f3cceb35e1a783a1c", "transformers_version": "4.42.4", "transformers_commit": null, "accelerate_version": "0.32.1", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.7", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 980.344832, "max_global_vram": 411.230208, "max_process_vram": 45974.560768, "max_reserved": 125.82912, "max_allocated": 103.077376 }, "latency": { "unit": "s", "count": 1, "total": 7.40481396484375, "mean": 7.40481396484375, "stdev": 0.0, "p50": 7.40481396484375, "p90": 7.40481396484375, "p95": 7.40481396484375, "p99": 7.40481396484375, "values": [ 7.40481396484375 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1831.374848, "max_global_vram": 522.633216, "max_process_vram": 266575.077376, "max_reserved": 148.897792, "max_allocated": 113.516032 }, "latency": { "unit": "s", "count": 133, "total": 1.0010290842056278, "mean": 0.0075265344677114855, "stdev": 0.00039184975727408024, "p50": 0.007438573837280273, "p90": 0.007828334903717041, "p95": 0.008056591224670407, "p99": 0.008447823143005372, "values": [ 0.007816174030303956, 0.007593774795532226, 0.00747697401046753, 0.0074750537872314456, 0.0074916939735412596, 0.007570734977722168, 0.007624174118041992, 0.007457133769989014, 0.007469934940338135, 0.007496334075927734, 0.007504814147949219, 0.007501773834228516, 0.007509614944458008, 0.007410254001617432, 0.007422574043273926, 0.007476334095001221, 0.007477933883666992, 0.0074630541801452635, 0.007426414012908935, 0.007610895156860351, 0.007444334030151367, 0.007421294212341309, 0.0073668937683105465, 0.007374574184417724, 0.011015860557556153, 0.007410734176635742, 0.007504494190216065, 0.007293933868408203, 0.007214734077453613, 0.007183213233947754, 0.0073921728134155274, 0.007210093021392822, 0.007219694137573242, 0.007354894161224365, 0.0071689729690551755, 0.0072019329071044925, 0.0073449740409851074, 0.007198254108428955, 0.0073798542022705076, 0.0072465729713439946, 0.0073753738403320316, 0.00744689416885376, 0.007375693798065185, 0.007480974197387695, 0.007748815059661865, 0.007371533870697022, 0.007529294013977051, 0.007366414070129394, 0.007337934017181397, 0.007477933883666992, 0.00733937406539917, 0.007344493865966797, 0.007339054107666015, 0.007345293998718262, 0.007548334121704102, 0.0073448138236999515, 0.007356813907623291, 0.007321454048156738, 0.0074372940063476565, 0.0075320138931274415, 0.007357452869415283, 0.007510094165802002, 0.00733777379989624, 0.007349614143371582, 0.007221292972564697, 0.007365933895111084, 0.007391213893890381, 0.007380653858184814, 0.00735137414932251, 0.007459693908691406, 0.007439373970031738, 0.007444173812866211, 0.007390573978424072, 0.007442254066467285, 0.007415214061737061, 0.007371374130249023, 0.00735521411895752, 0.0073168139457702635, 0.0074776139259338376, 0.0073185739517211915, 0.007467534065246582, 0.007377453804016113, 0.00746161413192749, 0.00743105411529541, 0.007452654838562012, 0.007431213855743408, 0.007401453971862793, 0.007419213771820068, 0.007468974113464356, 0.007887054920196533, 0.008419535636901855, 0.00840657615661621, 0.007831375122070312, 0.007795694828033447, 0.007931855201721192, 0.007786573886871338, 0.007843695163726806, 0.007724814891815186, 0.007743054866790771, 0.007729934215545654, 0.007685935020446778, 0.007663373947143555, 0.007455533981323243, 0.007438573837280273, 0.007301454067230225, 0.0074520139694213864, 0.007417294025421142, 0.007446253776550293, 0.007369614124298095, 0.007302894115447998, 0.0075816140174865725, 0.008461134910583496, 0.008392334938049317, 0.008307696342468262, 0.007864174842834472, 0.007494574069976807, 0.007428654193878174, 0.007448013782501221, 0.007405293941497803, 0.007404973983764648, 0.007420013904571534, 0.007271533966064453, 0.0073755340576171875, 0.007327212810516358, 0.007346571922302246, 0.0073867330551147465, 0.0073304128646850585, 0.007477614879608154, 0.008243695259094238, 0.007885934829711914, 0.007755535125732422, 0.007643214225769043, 0.007893135070800781 ] }, "throughput": { "unit": "samples/s", "value": 132.86327250475736 }, "energy": null, "efficiency": null } } }