IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
fab5aaf verified
raw
history blame
10 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",
"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": "0.2.1",
"optimum_benchmark_commit": "f85421c91b2a2b1bc0a30ceba32f9580499bf023",
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"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": 1004.204032,
"max_global_vram": 898.465792,
"max_process_vram": 177880.449024,
"max_reserved": 555.74528,
"max_allocated": 499.507712
},
"latency": {
"unit": "s",
"count": 127,
"total": 0.9971511540412901,
"mean": 0.0078515838900889,
"stdev": 0.0004232694281241563,
"p50": 0.007755012035369873,
"p90": 0.008352129554748535,
"p95": 0.008485249042510986,
"p99": 0.00862331636428833,
"values": [
0.008258851051330566,
0.00851724910736084,
0.008557249069213867,
0.008216771125793457,
0.007925090789794921,
0.00789437198638916,
0.008058851242065429,
0.008127490997314453,
0.008082691192626954,
0.008141571044921875,
0.00816413116455078,
0.007767171859741211,
0.007755012035369873,
0.00776941204071045,
0.007818371772766113,
0.0077657318115234375,
0.0077750120162963865,
0.007721892833709717,
0.007784772872924805,
0.008059811592102051,
0.0078998122215271,
0.007843492031097412,
0.007868772029876708,
0.007885251998901367,
0.007837572097778321,
0.007747652053833008,
0.010983000755310059,
0.008338850975036621,
0.007964770793914795,
0.007795172214508057,
0.007963810920715332,
0.007584932804107666,
0.008014691352844239,
0.007884932041168214,
0.008107810974121095,
0.008204609870910644,
0.007917411804199219,
0.008082691192626954,
0.007993091106414794,
0.007821092128753662,
0.008231810569763184,
0.00836316967010498,
0.00864652919769287,
0.008371970176696778,
0.008362529754638671,
0.008297249794006348,
0.008343810081481934,
0.0083294095993042,
0.008347649574279786,
0.008376930236816406,
0.00835884952545166,
0.00790861177444458,
0.007514373779296875,
0.007507654190063476,
0.007544773101806641,
0.00754157304763794,
0.007515172958374023,
0.007548293113708496,
0.0075313329696655275,
0.0074959731101989745,
0.007526853084564209,
0.007501253128051758,
0.007516293048858642,
0.007525413036346435,
0.007465413093566894,
0.007575333118438721,
0.007548293113708496,
0.007527973175048828,
0.007520293235778809,
0.007516132831573486,
0.007527332782745361,
0.007576611995697022,
0.007528772830963135,
0.007526692867279053,
0.0075118131637573245,
0.0075436530113220214,
0.007541253089904785,
0.007515013217926025,
0.007578213214874268,
0.007560293197631836,
0.007547012805938721,
0.007541412830352783,
0.007540452957153321,
0.007549572944641114,
0.007512773036956787,
0.007589413166046143,
0.00852492904663086,
0.008468449592590332,
0.008492448806762695,
0.00799757194519043,
0.008264769554138183,
0.008507328987121582,
0.008266051292419434,
0.007947171211242676,
0.007996771812438965,
0.008077091217041015,
0.007939971923828126,
0.007924770832061768,
0.007965571880340576,
0.007870051860809326,
0.007531652927398682,
0.007548772811889649,
0.007555013179779053,
0.007580613136291504,
0.007508934020996094,
0.007720773220062256,
0.007828772068023682,
0.007606371879577637,
0.007522693157196045,
0.007530693054199219,
0.007607653141021729,
0.0075974130630493165,
0.007540773868560791,
0.007572933197021485,
0.007596292972564697,
0.007590853214263916,
0.007581892013549804,
0.007535812854766846,
0.007564292907714844,
0.007611173152923584,
0.007594373226165772,
0.007533574104309082,
0.0075711731910705566,
0.007613732814788819,
0.0076092529296875,
0.00765021276473999,
0.00765037202835083
]
},
"throughput": {
"unit": "samples/s",
"value": 127.36283710377288
},
"energy": null,
"efficiency": null
}
}
}