IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
f8dddfd
verified
{ | |
"config": { | |
"name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.2.2+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "image-classification", | |
"library": "transformers", | |
"model_type": "vit", | |
"model": "google/vit-base-patch16-224", | |
"processor": "google/vit-base-patch16-224", | |
"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": "training", | |
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario", | |
"max_steps": 5, | |
"warmup_steps": 2, | |
"dataset_shapes": { | |
"dataset_size": 500, | |
"sequence_length": 16, | |
"num_choices": 1 | |
}, | |
"training_arguments": { | |
"per_device_train_batch_size": 2, | |
"gradient_accumulation_steps": 1, | |
"output_dir": "./trainer_output", | |
"evaluation_strategy": "no", | |
"eval_strategy": "no", | |
"save_strategy": "no", | |
"do_train": true, | |
"use_cpu": false, | |
"max_steps": 5, | |
"do_eval": false, | |
"do_predict": false, | |
"report_to": "none", | |
"skip_memory_metrics": true, | |
"ddp_find_unused_parameters": false | |
}, | |
"latency": true, | |
"memory": true, | |
"energy": false | |
}, | |
"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": "7ced484c6c538274314e9bbd7dcb0b3e27a51bd6", | |
"transformers_version": "4.42.4", | |
"transformers_commit": null, | |
"accelerate_version": "0.33.0", | |
"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": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2199.175168, | |
"max_global_vram": 3260.604416, | |
"max_process_vram": 471527.38304, | |
"max_reserved": 1935.671296, | |
"max_allocated": 1738.272256 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 2.927454879760742, | |
"mean": 0.5854909759521484, | |
"stdev": 1.092860589967541, | |
"p50": 0.03917684555053711, | |
"p90": 1.6788604598999026, | |
"p95": 2.225036064910888, | |
"p99": 2.6619765489196774, | |
"values": [ | |
2.771211669921875, | |
0.03917684555053711, | |
0.04033364486694336, | |
0.03853572082519531, | |
0.038196998596191405 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 17.0796825411999 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2199.175168, | |
"max_global_vram": 3260.604416, | |
"max_process_vram": 471527.38304, | |
"max_reserved": 1935.671296, | |
"max_allocated": 1738.272256 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 2.810388515472412, | |
"mean": 1.405194257736206, | |
"stdev": 1.366017412185669, | |
"p50": 1.405194257736206, | |
"p90": 2.498008187484741, | |
"p95": 2.634609928703308, | |
"p99": 2.7438913216781615, | |
"values": [ | |
2.771211669921875, | |
0.03917684555053711 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 2.846581515671772 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2199.175168, | |
"max_global_vram": 3260.604416, | |
"max_process_vram": 471527.38304, | |
"max_reserved": 1935.671296, | |
"max_allocated": 1738.272256 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 0.11706636428833009, | |
"mean": 0.03902212142944336, | |
"stdev": 0.0009376401166187406, | |
"p50": 0.03853572082519531, | |
"p90": 0.03997406005859375, | |
"p95": 0.040153852462768556, | |
"p99": 0.0402976863861084, | |
"values": [ | |
0.04033364486694336, | |
0.03853572082519531, | |
0.038196998596191405 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 153.7589392941825 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |