IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
8eb44c0
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", | |
"library": "transformers", | |
"model": "microsoft/deberta-v3-base", | |
"processor": "microsoft/deberta-v3-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": "8320ce6f24eaa5099bd3b49d8d44c0c1368af14b", | |
"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": 1029.742592, | |
"max_global_vram": 1122.861056, | |
"max_process_vram": 241220.165632, | |
"max_reserved": 773.849088, | |
"max_allocated": 745.087488 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 67, | |
"total": 1.004321944236755, | |
"mean": 0.01498987976472769, | |
"stdev": 0.0006567642830083582, | |
"p50": 0.014843364715576172, | |
"p90": 0.015546917152404785, | |
"p95": 0.015827749347686767, | |
"p99": 0.017282242622375495, | |
"values": [ | |
0.014245445251464844, | |
0.015460965156555175, | |
0.01557264518737793, | |
0.015479525566101075, | |
0.015127365112304687, | |
0.015136804580688477, | |
0.01536784553527832, | |
0.01539200496673584, | |
0.015438725471496582, | |
0.015319366455078125, | |
0.015598085403442383, | |
0.01576256561279297, | |
0.015855685234069824, | |
0.015352484703063964, | |
0.015401605606079102, | |
0.015087204933166504, | |
0.01521888542175293, | |
0.015342406272888184, | |
0.015503684997558593, | |
0.018612485885620117, | |
0.015285285949707031, | |
0.014542405128479003, | |
0.01475440502166748, | |
0.014465444564819336, | |
0.014656965255737304, | |
0.014487685203552246, | |
0.01467088508605957, | |
0.014509124755859375, | |
0.014721124649047852, | |
0.014514884948730468, | |
0.014457284927368164, | |
0.01455040454864502, | |
0.014685444831848145, | |
0.014502566337585449, | |
0.014409124374389648, | |
0.014844164848327637, | |
0.014597125053405761, | |
0.014504324913024903, | |
0.014852484703063966, | |
0.014507844924926757, | |
0.014452804565429687, | |
0.014865124702453613, | |
0.014516645431518555, | |
0.014874725341796876, | |
0.016596965789794922, | |
0.015326564788818359, | |
0.015091205596923828, | |
0.01598528480529785, | |
0.015136164665222168, | |
0.015256325721740722, | |
0.015529765129089355, | |
0.015398565292358399, | |
0.01463376522064209, | |
0.0147574462890625, | |
0.014427845001220702, | |
0.014506244659423828, | |
0.014448325157165527, | |
0.014458085060119629, | |
0.014843364715576172, | |
0.014482725143432617, | |
0.014437125205993653, | |
0.01451536464691162, | |
0.014464324951171875, | |
0.014994885444641113, | |
0.014488965034484864, | |
0.01456528377532959, | |
0.014473284721374512 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 66.71167585700553 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |