IlyasMoutawwakil's picture
Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
e7117b1 verified
raw
history blame
7.15 kB
{
"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": "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": {},
"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": "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",
"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",
"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": "2516ce57a5b64eefeb78dc75a171e0cdff88823e",
"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": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2194.878464,
"max_global_vram": 3407.70816,
"max_process_vram": 452607.873024,
"max_reserved": 1935.671296,
"max_allocated": 1738.014208
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.261173156738282,
"mean": 0.6522346313476564,
"stdev": 1.223585692836235,
"p50": 0.04059365463256836,
"p90": 1.8767569686889651,
"p95": 2.488080632781982,
"p99": 2.9771395640563965,
"values": [
3.099404296875,
0.04016789627075195,
0.03822133255004883,
0.04278597640991211,
0.04059365463256836
]
},
"throughput": {
"unit": "samples/s",
"value": 15.331905911432301
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2194.878464,
"max_global_vram": 3407.70816,
"max_process_vram": 452607.873024,
"max_reserved": 1935.671296,
"max_allocated": 1738.014208
},
"latency": {
"unit": "s",
"count": 2,
"total": 3.139572193145752,
"mean": 1.569786096572876,
"stdev": 1.5296182003021241,
"p50": 1.569786096572876,
"p90": 2.7934806568145754,
"p95": 2.9464424768447874,
"p99": 3.0688119328689574,
"values": [
3.099404296875,
0.04016789627075195
]
},
"throughput": {
"unit": "samples/s",
"value": 2.548117866970994
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2194.878464,
"max_global_vram": 3407.70816,
"max_process_vram": 452607.873024,
"max_reserved": 1935.671296,
"max_allocated": 1738.014208
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.12160096359252931,
"mean": 0.0405336545308431,
"stdev": 0.0018639909515163358,
"p50": 0.04059365463256836,
"p90": 0.042347512054443356,
"p95": 0.04256674423217773,
"p99": 0.04274212997436523,
"values": [
0.03822133255004883,
0.04278597640991211,
0.04059365463256836
]
},
"throughput": {
"unit": "samples/s",
"value": 148.02514279669614
},
"energy": null,
"efficiency": null
}
}
}