IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
ab81a63 verified
raw
history blame
10.1 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-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",
"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": "c1d0b062e90b79e7705510c58cea731c0d90da8a",
"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": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1004.146688,
"max_global_vram": 1878.827008,
"max_process_vram": 207526.064128,
"max_reserved": 555.74528,
"max_allocated": 499.507712
},
"latency": {
"unit": "s",
"count": 130,
"total": 0.996648693561554,
"mean": 0.007666528412011954,
"stdev": 0.0006570371053670661,
"p50": 0.007380008935928345,
"p90": 0.008584106254577636,
"p95": 0.00937273178100586,
"p99": 0.009651641445159911,
"values": [
0.008584010124206542,
0.007609929084777832,
0.007298569202423096,
0.007431368827819824,
0.007248007774353028,
0.007257769107818604,
0.007265768051147461,
0.007198728084564209,
0.0071828880310058595,
0.007233287811279297,
0.007208488941192627,
0.007200808048248291,
0.007182088851928711,
0.007168327808380127,
0.007174889087677002,
0.007222248077392578,
0.007225608825683594,
0.007797769069671631,
0.007509288787841797,
0.007375688076019287,
0.007370408058166504,
0.007198248863220215,
0.007172327995300293,
0.0072332887649536135,
0.007297287940979004,
0.007230729103088379,
0.007208807945251465,
0.0071945681571960445,
0.007224809169769287,
0.007189288139343262,
0.007177608966827393,
0.0071473679542541505,
0.0071657681465148925,
0.007310729026794433,
0.007299048900604248,
0.007349448204040527,
0.007318249225616455,
0.007311368942260742,
0.007318408012390137,
0.007300969123840332,
0.007255049228668213,
0.0072849678993225095,
0.0073276891708374025,
0.007338249206542969,
0.007324488162994385,
0.0073795289993286136,
0.0073942489624023435,
0.00735456895828247,
0.00735152816772461,
0.007342729091644287,
0.007344809055328369,
0.007295207977294922,
0.007360329151153564,
0.0073404889106750484,
0.007347367763519287,
0.007323369026184082,
0.007297449111938477,
0.007296487808227539,
0.007297769069671631,
0.007321448802947998,
0.007383687973022461,
0.0073184089660644535,
0.007423849105834961,
0.007528968811035156,
0.007347688198089599,
0.007397129058837891,
0.007389449119567871,
0.007383529186248779,
0.007346568107604981,
0.007577448844909668,
0.0074064087867736815,
0.007401128768920898,
0.007433769226074219,
0.0074249677658081055,
0.007625769138336182,
0.007386088848114014,
0.007358728885650635,
0.007371849060058594,
0.007420807838439941,
0.007406249046325684,
0.007399368762969971,
0.0073972887992858885,
0.007411528110504151,
0.0073992090225219725,
0.007380488872528076,
0.007364169120788574,
0.0073889679908752445,
0.007372488975524902,
0.0074176092147827145,
0.0073916888236999516,
0.007387207984924316,
0.007364008903503418,
0.007317769050598145,
0.007338088035583496,
0.007389769077301025,
0.007371849060058594,
0.007417448997497559,
0.007380807876586914,
0.007571528911590577,
0.007522889137268066,
0.007657128810882569,
0.00809568977355957,
0.00767936897277832,
0.008192009925842285,
0.008395210266113281,
0.008528969764709472,
0.007949288845062255,
0.008016969680786133,
0.009199371337890625,
0.009529451370239257,
0.009662731170654297,
0.00962449073791504,
0.009605450630187988,
0.009857932090759277,
0.009605610847473144,
0.009514572143554688,
0.008963210105895996,
0.008778890609741212,
0.00881408977508545,
0.008726090431213378,
0.008584971427917481,
0.008499210357666015,
0.008504329681396484,
0.008484649658203124,
0.008530409812927246,
0.008493929862976075,
0.008480970382690429,
0.00844929027557373,
0.008511369705200195,
0.008424328804016114
]
},
"throughput": {
"unit": "samples/s",
"value": 130.4371348097002
},
"energy": null,
"efficiency": null
}
}
}