IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
80534f5 verified
raw
history blame
8.89 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+rocm6.1",
"_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": "4",
"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": 1082015.256576,
"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": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1376.231424,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.69268896484375,
"mean": 7.69268896484375,
"stdev": 0.0,
"p50": 7.69268896484375,
"p90": 7.69268896484375,
"p95": 7.69268896484375,
"p99": 7.69268896484375,
"values": [
7.69268896484375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1540.038656,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 71,
"total": 1.0098397369384762,
"mean": 0.01422309488645742,
"stdev": 0.0009058134715633967,
"p50": 0.01405147933959961,
"p90": 0.014712117195129394,
"p95": 0.015757473468780515,
"p99": 0.01803210659027099,
"values": [
0.014553716659545898,
0.014712117195129394,
0.01461147689819336,
0.014506036758422852,
0.014477396965026855,
0.01443771743774414,
0.014422516822814941,
0.014306517601013183,
0.01431003761291504,
0.014354838371276855,
0.014532917022705078,
0.014434356689453125,
0.01443339729309082,
0.014417078018188477,
0.01445035743713379,
0.01956538200378418,
0.014113078117370606,
0.013567000389099122,
0.013587160110473633,
0.01359019947052002,
0.01354203987121582,
0.013587160110473633,
0.013539959907531738,
0.013548279762268066,
0.013587320327758789,
0.013572919845581054,
0.013607480049133302,
0.013578840255737305,
0.013578680038452149,
0.01357643985748291,
0.013582839965820312,
0.013624600410461426,
0.013567159652709961,
0.013616600036621095,
0.013603320121765137,
0.013620120048522949,
0.0137769193649292,
0.013598999977111816,
0.013572759628295898,
0.017374988555908202,
0.014158357620239257,
0.014002198219299317,
0.014027798652648926,
0.013960598945617676,
0.013945239067077637,
0.013992598533630371,
0.013981078147888184,
0.014031318664550782,
0.013960597991943359,
0.014069878578186035,
0.01406747817993164,
0.01403195858001709,
0.014001399040222169,
0.014058037757873535,
0.01407051944732666,
0.014023958206176758,
0.01405147933959961,
0.014084438323974609,
0.014081877708435058,
0.01411451816558838,
0.01406891918182373,
0.014232917785644532,
0.014770196914672852,
0.014532437324523926,
0.01397691822052002,
0.014000919342041016,
0.014102357864379883,
0.015668113708496093,
0.016123632431030273,
0.015846833229064942,
0.014760435104370117
]
},
"throughput": {
"unit": "samples/s",
"value": 70.30818594567306
},
"energy": null,
"efficiency": null
}
}
}