IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
704b583
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.2.2+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "token-classification", | |
"model": "microsoft/deberta-v3-base", | |
"library": "transformers", | |
"device": "cuda", | |
"device_ids": "0", | |
"seed": 42, | |
"inter_op_num_threads": null, | |
"intra_op_num_threads": null, | |
"hub_kwargs": { | |
"revision": "main", | |
"force_download": false, | |
"local_files_only": false, | |
"trust_remote_code": false | |
}, | |
"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", | |
"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": "0.2.0", | |
"optimum_benchmark_commit": "4aa72a2fd35e7d46a674935ffaf335b1c0795600", | |
"transformers_version": "4.40.2", | |
"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": "0.9.16", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1027.784704, | |
"max_global_vram": 1122.861056, | |
"max_process_vram": 292413.087744, | |
"max_reserved": 773.849088, | |
"max_allocated": 745.087488 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 78, | |
"total": 1.0028450222015381, | |
"mean": 0.012856987464122284, | |
"stdev": 0.00035000900432044193, | |
"p50": 0.012709290981292724, | |
"p90": 0.01323794832229614, | |
"p95": 0.01359845175743103, | |
"p99": 0.01407623181343079, | |
"values": [ | |
0.014669933319091798, | |
0.013090411186218261, | |
0.013163692474365234, | |
0.01309441089630127, | |
0.012871211051940917, | |
0.012789291381835937, | |
0.01271665096282959, | |
0.012707851409912109, | |
0.012721131324768067, | |
0.01278481101989746, | |
0.012764330863952636, | |
0.01274241065979004, | |
0.012766890525817871, | |
0.012976170539855957, | |
0.012975690841674804, | |
0.012786570549011231, | |
0.012641290664672851, | |
0.012756811141967774, | |
0.012612650871276856, | |
0.012745450973510743, | |
0.012578250885009766, | |
0.012689130783081055, | |
0.012667851448059082, | |
0.012793610572814942, | |
0.012600010871887207, | |
0.012585129737854004, | |
0.012836171150207519, | |
0.01266097068786621, | |
0.012655851364135742, | |
0.01284993076324463, | |
0.012691691398620605, | |
0.01266849136352539, | |
0.012557130813598633, | |
0.012852971076965331, | |
0.012650251388549805, | |
0.012637611389160155, | |
0.013135210990905762, | |
0.012620330810546875, | |
0.012639370918273926, | |
0.012860971450805664, | |
0.012593131065368652, | |
0.01267457103729248, | |
0.012887690544128418, | |
0.012692010879516602, | |
0.012667210578918457, | |
0.012885770797729491, | |
0.01264193058013916, | |
0.01268817138671875, | |
0.01291265106201172, | |
0.012644651412963868, | |
0.012638891220092773, | |
0.012626891136169433, | |
0.012639849662780762, | |
0.012985610961914062, | |
0.012664971351623535, | |
0.012660490036010743, | |
0.012638569831848145, | |
0.013042411804199218, | |
0.013712170600891114, | |
0.013898892402648926, | |
0.013592331886291505, | |
0.013438732147216796, | |
0.01363313102722168, | |
0.01347089195251465, | |
0.013411211967468261, | |
0.013111371040344239, | |
0.012685291290283203, | |
0.012699050903320313, | |
0.012982730865478515, | |
0.01271073055267334, | |
0.01270017147064209, | |
0.012685610771179199, | |
0.012998730659484863, | |
0.012668331146240235, | |
0.01267617130279541, | |
0.01265904998779297, | |
0.012648171424865722, | |
0.012668170928955079 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 77.7787178209921 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |