IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
fd90087 verified
raw
history blame
7.58 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": {},
"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": "0.3.1",
"optimum_benchmark_commit": "4f83ff1670dec8f273c8beb893e9243ca1209582",
"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": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1034.010624,
"max_global_vram": 1122.848768,
"max_process_vram": 300290.736128,
"max_reserved": 773.849088,
"max_allocated": 745.087488
},
"latency": {
"unit": "s",
"count": 68,
"total": 1.0026895742416382,
"mean": 0.014745434915318208,
"stdev": 0.0008456099557358396,
"p50": 0.014502929687499999,
"p90": 0.015556191158294678,
"p95": 0.01629007797241211,
"p99": 0.018037155933380126,
"values": [
0.015404607772827148,
0.016756603240966797,
0.015177887916564941,
0.014985408782958985,
0.014342209815979005,
0.017421403884887696,
0.014467649459838867,
0.01437180995941162,
0.014225890159606933,
0.014411809921264649,
0.014157890319824219,
0.014395648956298829,
0.014741249084472656,
0.014339969635009766,
0.014166370391845703,
0.01928731918334961,
0.014561090469360351,
0.016166526794433592,
0.01558156681060791,
0.015546687126159668,
0.015578367233276368,
0.015017889022827148,
0.015072129249572753,
0.01466284942626953,
0.01475580883026123,
0.015447486877441406,
0.014070369720458985,
0.014118691444396973,
0.014228130340576172,
0.014165410995483399,
0.013958049774169921,
0.01397037124633789,
0.013944451332092284,
0.014153409957885742,
0.014583008766174316,
0.01449901008605957,
0.014250049591064453,
0.014390209197998046,
0.014677248954772949,
0.016356605529785156,
0.014796448707580566,
0.014766049385070801,
0.014819328308105468,
0.01449293041229248,
0.014368129730224609,
0.014584449768066407,
0.01450684928894043,
0.014557568550109864,
0.014949408531188965,
0.014867809295654297,
0.014723170280456542,
0.014633569717407226,
0.014426849365234374,
0.014611968994140625,
0.014497249603271485,
0.014413729667663574,
0.014481889724731445,
0.01451996898651123,
0.014639809608459472,
0.01458092975616455,
0.014338370323181152,
0.014344288825988769,
0.014323650360107422,
0.014419010162353516,
0.014268129348754884,
0.014140290260314941,
0.014034210205078125,
0.01417436981201172
]
},
"throughput": {
"unit": "samples/s",
"value": 67.81759953117123
},
"energy": null,
"efficiency": null
}
}
}