IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
90774fa verified
raw
history blame
7.66 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": "73dd36ea04ff1cc8259f4039b6f9d56dfb9eecd1",
"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": 1027.977216,
"max_global_vram": 1122.844672,
"max_process_vram": 191988.379648,
"max_reserved": 773.849088,
"max_allocated": 745.087488
},
"latency": {
"unit": "s",
"count": 70,
"total": 1.0033872213363648,
"mean": 0.014334103161948069,
"stdev": 0.0007097854688752315,
"p50": 0.014326951026916505,
"p90": 0.01504045066833496,
"p95": 0.0151335777759552,
"p99": 0.01605612468719483,
"values": [
0.013663275718688965,
0.014079913139343262,
0.014302790641784668,
0.013937192916870117,
0.013730475425720215,
0.013585355758666992,
0.013917353630065918,
0.013816554069519043,
0.014197992324829102,
0.014389671325683594,
0.014248231887817382,
0.014046153068542481,
0.01435111141204834,
0.013822794914245606,
0.01427175235748291,
0.014205830574035645,
0.017705490112304687,
0.015209026336669922,
0.014996227264404296,
0.01445607089996338,
0.013352237701416015,
0.01324871826171875,
0.013316237449645996,
0.013796714782714844,
0.014786149024963379,
0.014690788269042968,
0.01492166805267334,
0.014712228775024414,
0.015128385543823243,
0.01482790756225586,
0.01476070785522461,
0.014742629051208496,
0.013849034309387206,
0.013612395286560058,
0.013486796379089356,
0.013638155937194824,
0.013801514625549316,
0.013437676429748534,
0.013478317260742188,
0.013502636909484863,
0.01316695785522461,
0.013144718170166016,
0.013827433586120605,
0.014664548873901367,
0.01439047145843506,
0.015035106658935546,
0.014764867782592773,
0.013966633796691894,
0.013926794052124023,
0.013967432975769044,
0.013845514297485352,
0.014120391845703125,
0.013868393898010254,
0.014365510940551758,
0.014919906616210938,
0.014665349006652832,
0.015315105438232422,
0.014951907157897949,
0.014737028121948242,
0.015088546752929687,
0.014795429229736328,
0.01483222770690918,
0.015106786727905273,
0.014799908638000488,
0.01470102882385254,
0.014812387466430665,
0.01480310821533203,
0.014828067779541015,
0.015137825965881348,
0.014813668251037597
]
},
"throughput": {
"unit": "samples/s",
"value": 69.76369492404962
},
"energy": null,
"efficiency": null
}
}
}