{ "config": { "name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-classification", "library": "transformers", "model_type": "roberta", "model": "FacebookAI/roberta-base", "processor": "FacebookAI/roberta-base", "device": "cuda", "device_ids": "0", "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": true, "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": "034e40c3ab573ad44343a7fcce8e83f9a39327de", "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": 902.496256, "max_global_vram": 1126.514688, "max_process_vram": 40197.718016, "max_reserved": 555.74528, "max_allocated": 499.374592 }, "latency": { "unit": "s", "count": 1, "total": 7.0463916015625, "mean": 7.0463916015625, "stdev": 0.0, "p50": 7.0463916015625, "p90": 7.0463916015625, "p95": 7.0463916015625, "p99": 7.0463916015625, "values": [ 7.0463916015625 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1016.659968, "max_global_vram": 1181.831168, "max_process_vram": 209083.641856, "max_reserved": 555.74528, "max_allocated": 499.4432 }, "latency": { "unit": "s", "count": 136, "total": 0.9967100434303285, "mean": 0.00732875031934065, "stdev": 0.00023185130147254535, "p50": 0.007288356065750122, "p90": 0.007622357845306397, "p95": 0.007765238165855407, "p99": 0.008015895795822145, "values": [ 0.008167240142822265, 0.007958599090576172, 0.007475077152252197, 0.0072493162155151366, 0.007437157154083252, 0.007602597236633301, 0.0072333159446716306, 0.00730979585647583, 0.007660996913909912, 0.007501156806945801, 0.007212194919586181, 0.007479556083679199, 0.007224355220794678, 0.007171395778656006, 0.00744275712966919, 0.007139235019683838, 0.0071667561531066895, 0.007123875141143799, 0.0073073959350585934, 0.007469797134399414, 0.007206116199493408, 0.007342916011810302, 0.0071886758804321285, 0.0073681960105896, 0.007720037937164307, 0.007138595104217529, 0.0071737961769104, 0.007191555023193359, 0.007371235847473145, 0.0073539562225341795, 0.008001958847045899, 0.007594758033752441, 0.007491557121276855, 0.007589477062225342, 0.0073091559410095215, 0.007427237033843994, 0.00711843490600586, 0.007121315002441406, 0.007164196014404297, 0.0073019561767578125, 0.007245955944061279, 0.007136034965515137, 0.007116515159606934, 0.007180515766143799, 0.007127715110778809, 0.007068834781646729, 0.007330437183380127, 0.007309956073760986, 0.007152995109558105, 0.007375236988067627, 0.007398276805877685, 0.0070880351066589355, 0.0071253151893615726, 0.007301315784454345, 0.007126755237579345, 0.007105955123901367, 0.007281795978546142, 0.007333315849304199, 0.0073829169273376466, 0.007092354774475097, 0.007128835201263428, 0.0071598758697509765, 0.007128514766693115, 0.007277316093444825, 0.007076994895935058, 0.007126595973968506, 0.007365635871887207, 0.007131235122680664, 0.007139235019683838, 0.007106114864349365, 0.007112834930419922, 0.007112034797668457, 0.00712323522567749, 0.00730755615234375, 0.0072094759941101075, 0.007263236045837403, 0.007115395069122315, 0.007074914932250977, 0.007165956020355225, 0.0071161952018737795, 0.007112995147705078, 0.007155075073242188, 0.00715763521194458, 0.007133316040039062, 0.0071552348136901854, 0.007093315124511719, 0.007136516094207764, 0.007294916152954102, 0.007143555164337158, 0.007126756191253662, 0.00709651517868042, 0.007060675144195556, 0.007203235149383545, 0.007224195003509522, 0.007158276081085205, 0.00772963809967041, 0.007329795837402344, 0.0073110761642456055, 0.0073869161605834965, 0.007401795864105225, 0.007458597183227539, 0.0074379568099975585, 0.00746179723739624, 0.007273476123809814, 0.007430595874786377, 0.007425315856933594, 0.007464197158813477, 0.007066114902496338, 0.00703155517578125, 0.007028194904327392, 0.0072363557815551755, 0.007366436004638672, 0.0071075549125671385, 0.007067714214324951, 0.007401956081390381, 0.007605157852172852, 0.007420677185058594, 0.0075805168151855465, 0.007540358066558838, 0.007780037879943848, 0.007965799808502197, 0.0077337980270385746, 0.007590437889099121, 0.0077606778144836425, 0.007778919219970703, 0.00764835786819458, 0.00751475715637207, 0.007635397911071777, 0.007314596176147461, 0.007429316997528076, 0.007609317779541016, 0.00754867696762085, 0.00802340030670166, 0.007522117137908935, 0.007515077114105225, 0.00749427604675293 ] }, "throughput": { "unit": "samples/s", "value": 136.44891099113985 }, "energy": null, "efficiency": null } } }