IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
084ad7e
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "token-classification", | |
"library": "transformers", | |
"model_type": "deberta-v2", | |
"model": "microsoft/deberta-v3-base", | |
"processor": "microsoft/deberta-v3-base", | |
"device": "cuda", | |
"device_ids": "5", | |
"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": "warn", | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 128, | |
"cpu_ram_mb": 1082015.256576, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]", | |
"Advanced Micro Devices, Inc. [AMD/ATI]" | |
], | |
"gpu_count": 8, | |
"gpu_vram_mb": 549621596160, | |
"optimum_benchmark_version": "0.4.0", | |
"optimum_benchmark_commit": null, | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.34.2", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.3", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.9", | |
"timm_commit": null, | |
"peft_version": "0.12.0", | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"load": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1092.493312, | |
"max_global_vram": 68702.69952, | |
"max_process_vram": 48994.11968, | |
"max_reserved": 773.849088, | |
"max_allocated": 736.603648 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 8.3525, | |
"mean": 8.3525, | |
"stdev": 0.0, | |
"p50": 8.3525, | |
"p90": 8.3525, | |
"p95": 8.3525, | |
"p99": 8.3525, | |
"values": [ | |
8.3525 | |
] | |
}, | |
"throughput": null, | |
"energy": null, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1226.60864, | |
"max_global_vram": 68702.69952, | |
"max_process_vram": 315583.492096, | |
"max_reserved": 773.849088, | |
"max_allocated": 745.086976 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 76, | |
"total": 1.0082997493743895, | |
"mean": 0.013267101965452496, | |
"stdev": 0.0009705039532825963, | |
"p50": 0.012973010063171387, | |
"p90": 0.01430980634689331, | |
"p95": 0.014596966505050659, | |
"p99": 0.016484961986541747, | |
"values": [ | |
0.013861407279968261, | |
0.013696608543395996, | |
0.013242209434509277, | |
0.013057089805603028, | |
0.013099329948425293, | |
0.013023650169372559, | |
0.01297389030456543, | |
0.012955650329589844, | |
0.013020608901977539, | |
0.013087650299072266, | |
0.013102689743041991, | |
0.013080769538879395, | |
0.013051650047302247, | |
0.015355804443359374, | |
0.013759327888488769, | |
0.012975330352783204, | |
0.01277949047088623, | |
0.01274925136566162, | |
0.012766050338745118, | |
0.01987243461608887, | |
0.012735010147094727, | |
0.012861411094665527, | |
0.012683330535888672, | |
0.012747330665588379, | |
0.01298093032836914, | |
0.012818210601806641, | |
0.012805729866027833, | |
0.012924130439758302, | |
0.012754210472106934, | |
0.012804290771484376, | |
0.012722050666809082, | |
0.012754850387573242, | |
0.012696770668029786, | |
0.012949090003967285, | |
0.012729890823364258, | |
0.012702051162719727, | |
0.012972129821777343, | |
0.012769571304321289, | |
0.012750049591064454, | |
0.012935009956359864, | |
0.012739970207214355, | |
0.012744131088256836, | |
0.012970370292663574, | |
0.01274685001373291, | |
0.012741730690002442, | |
0.013004610061645508, | |
0.01272765064239502, | |
0.012767809867858887, | |
0.012994210243225097, | |
0.012766369819641113, | |
0.012780450820922851, | |
0.01299756908416748, | |
0.012851811408996583, | |
0.012810689926147461, | |
0.012991490364074708, | |
0.012754369735717773, | |
0.012746529579162598, | |
0.013019969940185547, | |
0.012802370071411133, | |
0.01277677059173584, | |
0.013005889892578126, | |
0.014127647399902344, | |
0.014430525779724122, | |
0.013716608047485352, | |
0.013744769096374511, | |
0.014556926727294922, | |
0.014512765884399413, | |
0.014742526054382324, | |
0.014345086097717286, | |
0.014008447647094727, | |
0.014717085838317871, | |
0.014274526596069335, | |
0.013475969314575195, | |
0.013674049377441407, | |
0.013435488700866699, | |
0.013188769340515136 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 75.37441127715742 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |