IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
85d2d5a
verified
{ | |
"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": "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": {}, | |
"hub_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, | |
"latency": true, | |
"memory": 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": "0.2.1", | |
"optimum_benchmark_commit": "f85421c91b2a2b1bc0a30ceba32f9580499bf023", | |
"transformers_version": "4.42.3", | |
"transformers_commit": null, | |
"accelerate_version": "0.31.0", | |
"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": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1010.352128, | |
"max_global_vram": 897.142784, | |
"max_process_vram": 197301.993472, | |
"max_reserved": 555.74528, | |
"max_allocated": 499.443712 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 132, | |
"total": 1.0008188214302063, | |
"mean": 0.007581960768410653, | |
"stdev": 0.0004017907584648971, | |
"p50": 0.007611093997955322, | |
"p90": 0.007977124977111815, | |
"p95": 0.008008276605606079, | |
"p99": 0.008179169349670409, | |
"values": [ | |
0.007904613018035888, | |
0.007579654216766357, | |
0.007624612808227539, | |
0.007526215076446533, | |
0.00756957483291626, | |
0.007825573921203614, | |
0.007536774158477783, | |
0.007611333847045898, | |
0.007596774101257324, | |
0.0076086149215698244, | |
0.007975973129272462, | |
0.007730053901672363, | |
0.007684134006500244, | |
0.007668134212493897, | |
0.007649094104766846, | |
0.00772877311706543, | |
0.00755773401260376, | |
0.007558854103088379, | |
0.007801252841949463, | |
0.0076577339172363285, | |
0.0075892539024353025, | |
0.007587014198303222, | |
0.00774573278427124, | |
0.007828932762145996, | |
0.007843974113464356, | |
0.007670214176177978, | |
0.007827652931213378, | |
0.007750534057617188, | |
0.007693253040313721, | |
0.007539494037628174, | |
0.007532615184783936, | |
0.007904613018035888, | |
0.007702693939208984, | |
0.007610854148864746, | |
0.007795332908630371, | |
0.007637574195861817, | |
0.008023971557617188, | |
0.0097588472366333, | |
0.008240772247314452, | |
0.008000773429870605, | |
0.007926053047180175, | |
0.007965572834014892, | |
0.007977252960205078, | |
0.007948933124542236, | |
0.007950852870941163, | |
0.00794493293762207, | |
0.007955972194671632, | |
0.00795261287689209, | |
0.007874853134155273, | |
0.007967493057250977, | |
0.007926533222198487, | |
0.007948293209075927, | |
0.007939332962036133, | |
0.007964453220367432, | |
0.007995652198791505, | |
0.008002212524414062, | |
0.007958693027496338, | |
0.007968132972717284, | |
0.007933413028717041, | |
0.007953893184661866, | |
0.007937252044677734, | |
0.007943172931671143, | |
0.007975012779235839, | |
0.008003972053527831, | |
0.00804205322265625, | |
0.007958692073822021, | |
0.008014212608337403, | |
0.008008131980895996, | |
0.007979173183441162, | |
0.008008453369140625, | |
0.008014053344726562, | |
0.00785101318359375, | |
0.007475173950195312, | |
0.007564774036407471, | |
0.007629893779754639, | |
0.007500454902648925, | |
0.007038856029510498, | |
0.007006055831909179, | |
0.007121255874633789, | |
0.00709773588180542, | |
0.007263815879821777, | |
0.007038694858551025, | |
0.007110695838928222, | |
0.007084136009216309, | |
0.007080454826354981, | |
0.00762269401550293, | |
0.007228614807128907, | |
0.007147975921630859, | |
0.007685254096984864, | |
0.007316774845123291, | |
0.007346374988555908, | |
0.007444934844970703, | |
0.007219494819641114, | |
0.007691493988037109, | |
0.007974692821502686, | |
0.007924132823944092, | |
0.00794109296798706, | |
0.007440934181213379, | |
0.007392614841461182, | |
0.007513894081115723, | |
0.00753101396560669, | |
0.007492934226989746, | |
0.0070262160301208494, | |
0.0070756559371948245, | |
0.006994855880737305, | |
0.007058856010437012, | |
0.00704045581817627, | |
0.007080776214599609, | |
0.006993896007537842, | |
0.007015336036682129, | |
0.007045735836029052, | |
0.007037096023559571, | |
0.007131494998931885, | |
0.0071380558013916014, | |
0.007136775016784668, | |
0.007109096050262451, | |
0.007129734992980957, | |
0.007122056007385254, | |
0.007128934860229492, | |
0.007126696109771728, | |
0.007152295112609864, | |
0.00710205602645874, | |
0.007123015880584717, | |
0.0070866961479187016, | |
0.007240614891052246, | |
0.007488454818725586, | |
0.007219494819641114, | |
0.007404613971710205, | |
0.007027495861053467, | |
0.0070262160301208494, | |
0.007082215785980225, | |
0.0070770950317382815 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 131.8920040006514 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |