IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
6eda4f8 verified
raw
history blame
8.56 kB
{
"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_type": "deberta-v2",
"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": {},
"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": 1082015.236096,
"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": "0.3.1",
"optimum_benchmark_commit": "5ae03a669d2c4893dc609854294ec3bac19528a3",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 891.879424,
"max_global_vram": 1059.876864,
"max_process_vram": 48011.0592,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.3758359375,
"mean": 7.3758359375,
"stdev": 0.0,
"p50": 7.3758359375,
"p90": 7.3758359375,
"p95": 7.3758359375,
"p99": 7.3758359375,
"values": [
7.3758359375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1036.791808,
"max_global_vram": 1122.807808,
"max_process_vram": 285873.713152,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 72,
"total": 1.0081897783279423,
"mean": 0.014002635810110305,
"stdev": 0.0006463469320464488,
"p50": 0.013957907199859619,
"p90": 0.014911084842681884,
"p95": 0.014955573034286499,
"p99": 0.015041002502441406,
"values": [
0.015034460067749023,
0.015010939598083497,
0.01473734188079834,
0.014908061027526856,
0.01490614128112793,
0.014891901016235352,
0.014823420524597168,
0.014888381004333496,
0.014854941368103027,
0.014950461387634277,
0.014920539855957031,
0.014911420822143555,
0.014961820602416992,
0.014683423042297363,
0.014434623718261718,
0.013813188552856445,
0.01420038604736328,
0.013927267074584962,
0.014664382934570312,
0.014152066230773926,
0.014261824607849121,
0.01399670696258545,
0.014700701713562012,
0.014928541183471679,
0.01505702018737793,
0.013890467643737792,
0.014241825103759766,
0.013861348152160644,
0.014087105751037598,
0.014458463668823243,
0.013855267524719238,
0.014331745147705079,
0.014065187454223632,
0.014631422996520996,
0.014089345932006836,
0.014505824089050294,
0.014375424385070801,
0.013633349418640136,
0.014111745834350585,
0.013700228691101074,
0.013977506637573241,
0.013358151435852051,
0.013519909858703614,
0.013459110260009765,
0.013938307762145996,
0.013458630561828614,
0.013336710929870606,
0.013337830543518066,
0.013196072578430175,
0.013214632987976075,
0.013559749603271484,
0.013265352249145507,
0.013320871353149414,
0.013719268798828125,
0.013023113250732422,
0.01382710838317871,
0.014219265937805176,
0.013524709701538086,
0.013879907608032227,
0.014217185020446778,
0.013565509796142579,
0.013451590538024902,
0.013254311561584473,
0.013403111457824708,
0.01312039279937744,
0.012993514060974121,
0.013005993843078613,
0.013032394409179688,
0.013218152046203612,
0.013130632400512696,
0.013025193214416505,
0.013176872253417968
]
},
"throughput": {
"unit": "samples/s",
"value": 71.41512594921389
},
"energy": null,
"efficiency": null
}
}
}