IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
aeee82a verified
raw
history blame
10.7 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_type": "roberta",
"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": {},
"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": "8bf68d01ce920e01ece8935a1cc6d7e3f17c2d2b",
"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": 902.254592,
"max_global_vram": 841.760768,
"max_process_vram": 44218.445824,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.2824736328125,
"mean": 7.2824736328125,
"stdev": 0.0,
"p50": 7.2824736328125,
"p90": 7.2824736328125,
"p95": 7.2824736328125,
"p99": 7.2824736328125,
"values": [
7.2824736328125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1012.035584,
"max_global_vram": 898.256896,
"max_process_vram": 213279.588352,
"max_reserved": 555.74528,
"max_allocated": 499.5072
},
"latency": {
"unit": "s",
"count": 123,
"total": 1.0004249167442323,
"mean": 0.008133535908489692,
"stdev": 0.0004042198530924685,
"p50": 0.008216583251953125,
"p90": 0.008337606620788574,
"p95": 0.008614692306518554,
"p99": 0.008808444919586182,
"values": [
0.008687140464782715,
0.00863833999633789,
0.00846410083770752,
0.008619620323181152,
0.008842658996582032,
0.00867930030822754,
0.008135623931884765,
0.008364901542663575,
0.008214662551879883,
0.008422500610351562,
0.008243462562561036,
0.00828922176361084,
0.008220422744750976,
0.007851786136627197,
0.008331461906433106,
0.008570340156555176,
0.00846570110321045,
0.008258823394775391,
0.00822346305847168,
0.008301703453063965,
0.008191943168640137,
0.008062984466552734,
0.007868585109710693,
0.011161683082580566,
0.008193702697753906,
0.008133222579956054,
0.00819082260131836,
0.007830666065216065,
0.007710826873779297,
0.008234663009643555,
0.008143143653869629,
0.008201542854309083,
0.008142342567443847,
0.00819002342224121,
0.008204103469848633,
0.008158023834228516,
0.008168744087219239,
0.008126182556152344,
0.00815290355682373,
0.008166342735290528,
0.0081961030960083,
0.008225543022155762,
0.008249222755432129,
0.008201864242553711,
0.008226183891296387,
0.008184743881225585,
0.008171624183654785,
0.008241703033447265,
0.00818458366394043,
0.008217063903808594,
0.00821754264831543,
0.00821914291381836,
0.0082125825881958,
0.008224263191223144,
0.008226503372192382,
0.008208263397216796,
0.008216583251953125,
0.008206184387207032,
0.008222184181213378,
0.00820522403717041,
0.008223302841186523,
0.008254822731018066,
0.008264263153076172,
0.008238822937011718,
0.008171783447265626,
0.008218502998352051,
0.00825722312927246,
0.008228423118591309,
0.008276902198791503,
0.008242982864379883,
0.008275781631469727,
0.008232743263244628,
0.008243143081665039,
0.008239143371582032,
0.008234502792358399,
0.008254663467407226,
0.008219782829284667,
0.008213382720947265,
0.008293222427368165,
0.008221543312072754,
0.008272743225097657,
0.008261543273925781,
0.0082692232131958,
0.008230504035949706,
0.008223782539367676,
0.008216583251953125,
0.008235782623291015,
0.008220903396606445,
0.00816170310974121,
0.007471948146820068,
0.007649867057800293,
0.007512907981872558,
0.007456108093261719,
0.007748425960540772,
0.008264903068542481,
0.007664267063140869,
0.007703466892242432,
0.007766826152801514,
0.00787914514541626,
0.007947784900665283,
0.008644579887390137,
0.007746826171875,
0.008006665229797363,
0.008339142799377442,
0.00774138593673706,
0.0074593091011047365,
0.0075162677764892575,
0.007450509071350098,
0.007516908168792725,
0.007419309139251709,
0.007532588005065918,
0.0077049069404602055,
0.007499467849731445,
0.007545228004455566,
0.007584107875823975,
0.007524588108062744,
0.007496588230133057,
0.00789226484298706,
0.008245062828063966,
0.008237382888793946,
0.008235782623291015,
0.007939465045928955,
0.007868424892425537
]
},
"throughput": {
"unit": "samples/s",
"value": 122.9477574391983
},
"energy": null,
"efficiency": null
}
}
}