The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 620, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1886, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 639, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
config
dict | report
dict | name
string | backend
dict | scenario
dict | launcher
dict | environment
dict | print_report
bool | log_report
bool | overall
dict | warmup
dict | train
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|
{
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"device": "cpu",
"device_ids": null,
"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": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2490.195968,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6796462880000149,
0.5551654500000041,
0.5572487570000249,
0.555526766000014,
0.5655911999999716
],
"count": 5,
"total": 2.9131784610000295,
"mean": 0.5826356922000059,
"p50": 0.5572487570000249,
"p90": 0.6340242527999976,
"p95": 0.6568352704000062,
"p99": 0.6750840844800132,
"stdev": 0.04865300602618744,
"stdev_": 8.350502153837487
},
"throughput": {
"unit": "samples/s",
"value": 17.163383798614284
},
"energy": {
"unit": "kWh",
"cpu": 0.00012045345841666676,
"ram": 0.000005034762742361399,
"gpu": 0,
"total": 0.00012548822115902817
},
"efficiency": {
"unit": "samples/kWh",
"value": 79688.75411284412
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2490.195968,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6796462880000149,
0.5551654500000041
],
"count": 2,
"total": 1.234811738000019,
"mean": 0.6174058690000095,
"p50": 0.6174058690000095,
"p90": 0.6671982042000139,
"p95": 0.6734222461000143,
"p99": 0.6784014796200148,
"stdev": 0.06224041900000543,
"stdev_": 10.080956810600787
},
"throughput": {
"unit": "samples/s",
"value": 6.478720402315998
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2490.195968,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5572487570000249,
0.555526766000014,
0.5655911999999716
],
"count": 3,
"total": 1.6783667230000106,
"mean": 0.5594555743333368,
"p50": 0.5572487570000249,
"p90": 0.5639227113999823,
"p95": 0.564756955699977,
"p99": 0.5654243511399727,
"stdev": 0.004395129121488192,
"stdev_": 0.7856082454313826
},
"throughput": {
"unit": "samples/s",
"value": 10.724712158154418
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_fill-mask_google-bert/bert-base-uncased | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model_type": "bert",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"device": "cpu",
"device_ids": null,
"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": {}
} | {
"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": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2490.195968,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6796462880000149,
0.5551654500000041,
0.5572487570000249,
0.555526766000014,
0.5655911999999716
],
"count": 5,
"total": 2.9131784610000295,
"mean": 0.5826356922000059,
"p50": 0.5572487570000249,
"p90": 0.6340242527999976,
"p95": 0.6568352704000062,
"p99": 0.6750840844800132,
"stdev": 0.04865300602618744,
"stdev_": 8.350502153837487
},
"throughput": {
"unit": "samples/s",
"value": 17.163383798614284
},
"energy": {
"unit": "kWh",
"cpu": 0.00012045345841666676,
"ram": 0.000005034762742361399,
"gpu": 0,
"total": 0.00012548822115902817
},
"efficiency": {
"unit": "samples/kWh",
"value": 79688.75411284412
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2490.195968,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6796462880000149,
0.5551654500000041
],
"count": 2,
"total": 1.234811738000019,
"mean": 0.6174058690000095,
"p50": 0.6174058690000095,
"p90": 0.6671982042000139,
"p95": 0.6734222461000143,
"p99": 0.6784014796200148,
"stdev": 0.06224041900000543,
"stdev_": 10.080956810600787
},
"throughput": {
"unit": "samples/s",
"value": 6.478720402315998
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2490.195968,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5572487570000249,
0.555526766000014,
0.5655911999999716
],
"count": 3,
"total": 1.6783667230000106,
"mean": 0.5594555743333368,
"p50": 0.5572487570000249,
"p90": 0.5639227113999823,
"p95": 0.564756955699977,
"p99": 0.5654243511399727,
"stdev": 0.004395129121488192,
"stdev_": 0.7856082454313826
},
"throughput": {
"unit": "samples/s",
"value": 10.724712158154418
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"model": "google-bert/bert-base-uncased",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2488.782848,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 2.738775005999969,
"mean": 0.5477550011999938,
"stdev": 0.03693447784258994,
"p50": 0.5307143729999666,
"p90": 0.5856752317999963,
"p95": 0.6036043034000045,
"p99": 0.6179475606800111,
"values": [
0.6215333750000127,
0.5307143729999666,
0.5270229210000252,
0.5276163199999928,
0.5318880169999716
]
},
"throughput": {
"unit": "samples/s",
"value": 18.25633719106628
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2488.782848,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.1522477479999793,
"mean": 0.5761238739999897,
"stdev": 0.045409501000023056,
"p50": 0.5761238739999897,
"p90": 0.612451474800008,
"p95": 0.6169924249000104,
"p99": 0.6206251849800123,
"values": [
0.6215333750000127,
0.5307143729999666
]
},
"throughput": {
"unit": "samples/s",
"value": 6.942951300088064
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2488.782848,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.5865272579999896,
"mean": 0.5288424193333299,
"stdev": 0.0021671455040491463,
"p50": 0.5276163199999928,
"p90": 0.5310336775999758,
"p95": 0.5314608472999737,
"p99": 0.531802583059972,
"values": [
0.5270229210000252,
0.5276163199999928,
0.5318880169999716
]
},
"throughput": {
"unit": "samples/s",
"value": 11.345534663357242
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_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": "cpu",
"device_ids": null,
"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": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2575.83104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6783148810000057,
1.505849014999967,
1.5191561999999976,
1.5226754370000322,
1.5418639119999966
],
"count": 5,
"total": 7.767859444999999,
"mean": 1.5535718889999999,
"p50": 1.5226754370000322,
"p90": 1.623734493400002,
"p95": 1.6510246872000038,
"p99": 1.6728568422400054,
"stdev": 0.06342616790710333,
"stdev_": 4.082602701309777
},
"throughput": {
"unit": "samples/s",
"value": 6.43677970154106
},
"energy": {
"unit": "kWh",
"cpu": 0.0003138687434944438,
"ram": 0.000013120288847596779,
"gpu": 0,
"total": 0.0003269890323420406
},
"efficiency": {
"unit": "samples/kWh",
"value": 30582.065485119063
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2575.83104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6783148810000057,
1.505849014999967
],
"count": 2,
"total": 3.1841638959999727,
"mean": 1.5920819479999864,
"p50": 1.5920819479999864,
"p90": 1.661068294400002,
"p95": 1.6696915877000038,
"p99": 1.6765902223400053,
"stdev": 0.08623293300001933,
"stdev_": 5.416362713511533
},
"throughput": {
"unit": "samples/s",
"value": 2.512433486872269
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2575.83104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.5191561999999976,
1.5226754370000322,
1.5418639119999966
],
"count": 3,
"total": 4.583695549000026,
"mean": 1.527898516333342,
"p50": 1.5226754370000322,
"p90": 1.5380262170000036,
"p95": 1.5399450645000001,
"p99": 1.5414801424999973,
"stdev": 0.0099789934148444,
"stdev_": 0.6531188628150536
},
"throughput": {
"unit": "samples/s",
"value": 3.9269623838622656
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_image-classification_google/vit-base-patch16-224 | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_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": "cpu",
"device_ids": null,
"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": {}
} | {
"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": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2575.83104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6783148810000057,
1.505849014999967,
1.5191561999999976,
1.5226754370000322,
1.5418639119999966
],
"count": 5,
"total": 7.767859444999999,
"mean": 1.5535718889999999,
"p50": 1.5226754370000322,
"p90": 1.623734493400002,
"p95": 1.6510246872000038,
"p99": 1.6728568422400054,
"stdev": 0.06342616790710333,
"stdev_": 4.082602701309777
},
"throughput": {
"unit": "samples/s",
"value": 6.43677970154106
},
"energy": {
"unit": "kWh",
"cpu": 0.0003138687434944438,
"ram": 0.000013120288847596779,
"gpu": 0,
"total": 0.0003269890323420406
},
"efficiency": {
"unit": "samples/kWh",
"value": 30582.065485119063
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2575.83104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6783148810000057,
1.505849014999967
],
"count": 2,
"total": 3.1841638959999727,
"mean": 1.5920819479999864,
"p50": 1.5920819479999864,
"p90": 1.661068294400002,
"p95": 1.6696915877000038,
"p99": 1.6765902223400053,
"stdev": 0.08623293300001933,
"stdev_": 5.416362713511533
},
"throughput": {
"unit": "samples/s",
"value": 2.512433486872269
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2575.83104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.5191561999999976,
1.5226754370000322,
1.5418639119999966
],
"count": 3,
"total": 4.583695549000026,
"mean": 1.527898516333342,
"p50": 1.5226754370000322,
"p90": 1.5380262170000036,
"p95": 1.5399450645000001,
"p99": 1.5414801424999973,
"stdev": 0.0099789934148444,
"stdev_": 0.6531188628150536
},
"throughput": {
"unit": "samples/s",
"value": 3.9269623838622656
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"model": "google/vit-base-patch16-224",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2442.985472,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 7.2970974209999895,
"mean": 1.459419484199998,
"stdev": 0.05210139006345095,
"p50": 1.4401334369999859,
"p90": 1.521250764199999,
"p95": 1.5379663595999886,
"p99": 1.5513388359199802,
"values": [
1.5546819549999782,
1.4241662819999874,
1.4401334369999859,
1.4711039780000306,
1.4070117690000075
]
},
"throughput": {
"unit": "samples/s",
"value": 6.852039532336137
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2442.985472,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 2.9788482369999656,
"mean": 1.4894241184999828,
"stdev": 0.06525783649999539,
"p50": 1.4894241184999828,
"p90": 1.541630387699979,
"p95": 1.5481561713499787,
"p99": 1.5533767982699782,
"values": [
1.5546819549999782,
1.4241662819999874
]
},
"throughput": {
"unit": "samples/s",
"value": 2.6856017371522416
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2442.985472,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 4.318249184000024,
"mean": 1.4394163946666747,
"stdev": 0.02617044676610726,
"p50": 1.4401334369999859,
"p90": 1.4649098698000216,
"p95": 1.4680069239000262,
"p99": 1.4704845671800297,
"values": [
1.4401334369999859,
1.4711039780000306,
1.4070117690000075
]
},
"throughput": {
"unit": "samples/s",
"value": 4.1683560241714614
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"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": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2908.09856,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8228547080000226,
0.7182253619999983,
0.7183813430000328,
0.7021890369999824,
0.7177695560000075
],
"count": 5,
"total": 3.6794200060000435,
"mean": 0.7358840012000087,
"p50": 0.7182253619999983,
"p90": 0.7810653620000266,
"p95": 0.8019600350000246,
"p99": 0.818675773400023,
"stdev": 0.043921653341148746,
"stdev_": 5.968556629784795
},
"throughput": {
"unit": "samples/s",
"value": 13.589098259634621
},
"energy": {
"unit": "kWh",
"cpu": 0.00015042468719444555,
"ram": 0.000006287666404905634,
"gpu": 0,
"total": 0.00015671235359935117
},
"efficiency": {
"unit": "samples/kWh",
"value": 63811.17869983546
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2908.09856,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8228547080000226,
0.7182253619999983
],
"count": 2,
"total": 1.541080070000021,
"mean": 0.7705400350000104,
"p50": 0.7705400350000104,
"p90": 0.8123917734000201,
"p95": 0.8176232407000213,
"p99": 0.8218084145400223,
"stdev": 0.052314673000012135,
"stdev_": 6.78935170448495
},
"throughput": {
"unit": "samples/s",
"value": 5.191164401989763
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2908.09856,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7183813430000328,
0.7021890369999824,
0.7177695560000075
],
"count": 3,
"total": 2.1383399360000226,
"mean": 0.7127799786666742,
"p50": 0.7177695560000075,
"p90": 0.7182589856000277,
"p95": 0.7183201643000302,
"p99": 0.7183691072600322,
"stdev": 0.007493090367078275,
"stdev_": 1.0512487150796301
},
"throughput": {
"unit": "samples/s",
"value": 8.417744857569648
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_multiple-choice_FacebookAI/roberta-base | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"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": {}
} | {
"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": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2908.09856,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8228547080000226,
0.7182253619999983,
0.7183813430000328,
0.7021890369999824,
0.7177695560000075
],
"count": 5,
"total": 3.6794200060000435,
"mean": 0.7358840012000087,
"p50": 0.7182253619999983,
"p90": 0.7810653620000266,
"p95": 0.8019600350000246,
"p99": 0.818675773400023,
"stdev": 0.043921653341148746,
"stdev_": 5.968556629784795
},
"throughput": {
"unit": "samples/s",
"value": 13.589098259634621
},
"energy": {
"unit": "kWh",
"cpu": 0.00015042468719444555,
"ram": 0.000006287666404905634,
"gpu": 0,
"total": 0.00015671235359935117
},
"efficiency": {
"unit": "samples/kWh",
"value": 63811.17869983546
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2908.09856,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.8228547080000226,
0.7182253619999983
],
"count": 2,
"total": 1.541080070000021,
"mean": 0.7705400350000104,
"p50": 0.7705400350000104,
"p90": 0.8123917734000201,
"p95": 0.8176232407000213,
"p99": 0.8218084145400223,
"stdev": 0.052314673000012135,
"stdev_": 6.78935170448495
},
"throughput": {
"unit": "samples/s",
"value": 5.191164401989763
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2908.09856,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7183813430000328,
0.7021890369999824,
0.7177695560000075
],
"count": 3,
"total": 2.1383399360000226,
"mean": 0.7127799786666742,
"p50": 0.7177695560000075,
"p90": 0.7182589856000277,
"p95": 0.7183201643000302,
"p99": 0.7183691072600322,
"stdev": 0.007493090367078275,
"stdev_": 1.0512487150796301
},
"throughput": {
"unit": "samples/s",
"value": 8.417744857569648
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2845.749248,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.581090587999995,
"mean": 0.716218117599999,
"stdev": 0.043372798377969854,
"p50": 0.697155070000008,
"p90": 0.7645524997999928,
"p95": 0.7826806403999967,
"p99": 0.7971831528799999,
"values": [
0.8008087810000006,
0.710168077999981,
0.6928677590000234,
0.697155070000008,
0.680090899999982
]
},
"throughput": {
"unit": "samples/s",
"value": 13.962227084549829
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2845.749248,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.5109768589999817,
"mean": 0.7554884294999908,
"stdev": 0.04532035150000979,
"p50": 0.7554884294999908,
"p90": 0.7917447106999986,
"p95": 0.7962767458499996,
"p99": 0.7999023739700004,
"values": [
0.8008087810000006,
0.710168077999981
]
},
"throughput": {
"unit": "samples/s",
"value": 5.294588035778844
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2845.749248,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 2.0701137290000133,
"mean": 0.6900379096666711,
"stdev": 0.007248103654729414,
"p50": 0.6928677590000234,
"p90": 0.696297607800011,
"p95": 0.6967263389000096,
"p99": 0.6970693237800083,
"values": [
0.6928677590000234,
0.697155070000008,
0.680090899999982
]
},
"throughput": {
"unit": "samples/s",
"value": 8.695174447587021
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"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": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2888.720384,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7103454560000273,
0.595783124000036,
0.5754666850000376,
0.6006517540000118,
0.5872036250000292
],
"count": 5,
"total": 3.069450644000142,
"mean": 0.6138901288000284,
"p50": 0.595783124000036,
"p90": 0.6664679752000211,
"p95": 0.6884067156000242,
"p99": 0.7059577079200267,
"stdev": 0.048980156908588875,
"stdev_": 7.97865197870675
},
"throughput": {
"unit": "samples/s",
"value": 16.289559859102166
},
"energy": {
"unit": "kWh",
"cpu": 0.00012706255181666677,
"ram": 0.000005311049123049572,
"gpu": 0,
"total": 0.00013237360093971634
},
"efficiency": {
"unit": "samples/kWh",
"value": 75543.76347708525
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2888.720384,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7103454560000273,
0.595783124000036
],
"count": 2,
"total": 1.3061285800000633,
"mean": 0.6530642900000316,
"p50": 0.6530642900000316,
"p90": 0.6988892228000282,
"p95": 0.7046173394000277,
"p99": 0.7091998326800274,
"stdev": 0.057281165999995665,
"stdev_": 8.771137371481894
},
"throughput": {
"unit": "samples/s",
"value": 6.12497124900185
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2888.720384,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5754666850000376,
0.6006517540000118,
0.5872036250000292
],
"count": 3,
"total": 1.7633220640000786,
"mean": 0.5877740213333595,
"p50": 0.5872036250000292,
"p90": 0.5979621282000153,
"p95": 0.5993069411000136,
"p99": 0.6003827914200122,
"stdev": 0.01028966922423239,
"stdev_": 1.750616538119595
},
"throughput": {
"unit": "samples/s",
"value": 10.208004747111925
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_text-classification_FacebookAI/roberta-base | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"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": {}
} | {
"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": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2888.720384,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7103454560000273,
0.595783124000036,
0.5754666850000376,
0.6006517540000118,
0.5872036250000292
],
"count": 5,
"total": 3.069450644000142,
"mean": 0.6138901288000284,
"p50": 0.595783124000036,
"p90": 0.6664679752000211,
"p95": 0.6884067156000242,
"p99": 0.7059577079200267,
"stdev": 0.048980156908588875,
"stdev_": 7.97865197870675
},
"throughput": {
"unit": "samples/s",
"value": 16.289559859102166
},
"energy": {
"unit": "kWh",
"cpu": 0.00012706255181666677,
"ram": 0.000005311049123049572,
"gpu": 0,
"total": 0.00013237360093971634
},
"efficiency": {
"unit": "samples/kWh",
"value": 75543.76347708525
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2888.720384,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.7103454560000273,
0.595783124000036
],
"count": 2,
"total": 1.3061285800000633,
"mean": 0.6530642900000316,
"p50": 0.6530642900000316,
"p90": 0.6988892228000282,
"p95": 0.7046173394000277,
"p99": 0.7091998326800274,
"stdev": 0.057281165999995665,
"stdev_": 8.771137371481894
},
"throughput": {
"unit": "samples/s",
"value": 6.12497124900185
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2888.720384,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.5754666850000376,
0.6006517540000118,
0.5872036250000292
],
"count": 3,
"total": 1.7633220640000786,
"mean": 0.5877740213333595,
"p50": 0.5872036250000292,
"p90": 0.5979621282000153,
"p95": 0.5993069411000136,
"p99": 0.6003827914200122,
"stdev": 0.01028966922423239,
"stdev_": 1.750616538119595
},
"throughput": {
"unit": "samples/s",
"value": 10.208004747111925
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2826.752,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 2.882509665999976,
"mean": 0.5765019331999952,
"stdev": 0.04978939696949581,
"p50": 0.5569985249999831,
"p90": 0.6300386333999881,
"p95": 0.6525100941999881,
"p99": 0.670487262839988,
"values": [
0.674981554999988,
0.5569985249999831,
0.5424031590000027,
0.5626242509999884,
0.5455021760000136
]
},
"throughput": {
"unit": "samples/s",
"value": 17.34599560576128
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2826.752,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.2319800799999712,
"mean": 0.6159900399999856,
"stdev": 0.05899151500000244,
"p50": 0.6159900399999856,
"p90": 0.6631832519999875,
"p95": 0.6690824034999878,
"p99": 0.673801724699988,
"values": [
0.674981554999988,
0.5569985249999831
]
},
"throughput": {
"unit": "samples/s",
"value": 6.493611487614465
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2826.752,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.6505295860000047,
"mean": 0.5501765286666682,
"stdev": 0.00889233078021606,
"p50": 0.5455021760000136,
"p90": 0.5591998359999935,
"p95": 0.5609120434999909,
"p99": 0.5622818094999888,
"values": [
0.5424031590000027,
0.5626242509999884,
0.5455021760000136
]
},
"throughput": {
"unit": "samples/s",
"value": 10.905590637500968
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"device": "cpu",
"device_ids": null,
"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": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2841.915392,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.713606432000006,
0.6087099439999974,
0.6273626509999986,
0.5982021100000168,
0.6168094589999953
],
"count": 5,
"total": 3.164690596000014,
"mean": 0.6329381192000028,
"p50": 0.6168094589999953,
"p90": 0.679108919600003,
"p95": 0.6963576758000044,
"p99": 0.7101566807600056,
"stdev": 0.04145404931767073,
"stdev_": 6.549463219258504
},
"throughput": {
"unit": "samples/s",
"value": 15.799332820465013
},
"energy": {
"unit": "kWh",
"cpu": 0.0001301337896444445,
"ram": 0.000005439559553038045,
"gpu": 0,
"total": 0.00013557334919748253
},
"efficiency": {
"unit": "samples/kWh",
"value": 73760.80962220332
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2841.915392,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.713606432000006,
0.6087099439999974
],
"count": 2,
"total": 1.3223163760000034,
"mean": 0.6611581880000017,
"p50": 0.6611581880000017,
"p90": 0.7031167832000051,
"p95": 0.7083616076000055,
"p99": 0.7125574671200059,
"stdev": 0.05244824400000425,
"stdev_": 7.932782948458943
},
"throughput": {
"unit": "samples/s",
"value": 6.049989355951211
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2841.915392,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6273626509999986,
0.5982021100000168,
0.6168094589999953
],
"count": 3,
"total": 1.8423742200000106,
"mean": 0.6141247400000035,
"p50": 0.6168094589999953,
"p90": 0.6252520125999979,
"p95": 0.6263073317999982,
"p99": 0.6271515871599985,
"stdev": 0.012055153114874212,
"stdev_": 1.9629811876450611
},
"throughput": {
"unit": "samples/s",
"value": 9.770002100876063
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_text-generation_openai-community/gpt2 | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"device": "cpu",
"device_ids": null,
"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": {}
} | {
"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": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2841.915392,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.713606432000006,
0.6087099439999974,
0.6273626509999986,
0.5982021100000168,
0.6168094589999953
],
"count": 5,
"total": 3.164690596000014,
"mean": 0.6329381192000028,
"p50": 0.6168094589999953,
"p90": 0.679108919600003,
"p95": 0.6963576758000044,
"p99": 0.7101566807600056,
"stdev": 0.04145404931767073,
"stdev_": 6.549463219258504
},
"throughput": {
"unit": "samples/s",
"value": 15.799332820465013
},
"energy": {
"unit": "kWh",
"cpu": 0.0001301337896444445,
"ram": 0.000005439559553038045,
"gpu": 0,
"total": 0.00013557334919748253
},
"efficiency": {
"unit": "samples/kWh",
"value": 73760.80962220332
}
} | {
"memory": {
"unit": "MB",
"max_ram": 2841.915392,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.713606432000006,
0.6087099439999974
],
"count": 2,
"total": 1.3223163760000034,
"mean": 0.6611581880000017,
"p50": 0.6611581880000017,
"p90": 0.7031167832000051,
"p95": 0.7083616076000055,
"p99": 0.7125574671200059,
"stdev": 0.05244824400000425,
"stdev_": 7.932782948458943
},
"throughput": {
"unit": "samples/s",
"value": 6.049989355951211
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2841.915392,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.6273626509999986,
0.5982021100000168,
0.6168094589999953
],
"count": 3,
"total": 1.8423742200000106,
"mean": 0.6141247400000035,
"p50": 0.6168094589999953,
"p90": 0.6252520125999979,
"p95": 0.6263073317999982,
"p99": 0.6271515871599985,
"stdev": 0.012055153114874212,
"stdev_": 1.9629811876450611
},
"throughput": {
"unit": "samples/s",
"value": 9.770002100876063
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "openai-community/gpt2",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2827.354112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.1791685380000274,
"mean": 0.6358337076000055,
"stdev": 0.07846941233493662,
"p50": 0.596941285000014,
"p90": 0.7161873142000047,
"p95": 0.7544328206000045,
"p99": 0.7850292257200044,
"values": [
0.7926783270000044,
0.6014507950000052,
0.596941285000014,
0.593667699000008,
0.5944304319999958
]
},
"throughput": {
"unit": "samples/s",
"value": 15.727382616668173
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2827.354112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.3941291220000096,
"mean": 0.6970645610000048,
"stdev": 0.0956137659999996,
"p50": 0.6970645610000048,
"p90": 0.7735555738000045,
"p95": 0.7831169504000044,
"p99": 0.7907660516800044,
"values": [
0.7926783270000044,
0.6014507950000052
]
},
"throughput": {
"unit": "samples/s",
"value": 5.738349392288174
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2827.354112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.7850394160000178,
"mean": 0.5950131386666726,
"stdev": 0.0013985114990352936,
"p50": 0.5944304319999958,
"p90": 0.5964391144000103,
"p95": 0.5966901997000121,
"p99": 0.5968910679400136,
"values": [
0.596941285000014,
0.593667699000008,
0.5944304319999958
]
},
"throughput": {
"unit": "samples/s",
"value": 10.083810944822195
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
{
"name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_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": "cpu",
"device_ids": null,
"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": true
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 4390.588416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.324631328999999,
1.1373790739999663,
1.14549581,
1.1179114660000096,
1.113112846999968
],
"count": 5,
"total": 5.838530525999943,
"mean": 1.1677061051999886,
"p50": 1.1373790739999663,
"p90": 1.2529771213999994,
"p95": 1.2888042251999992,
"p99": 1.3174659082399989,
"stdev": 0.0793706265981456,
"stdev_": 6.79714067132946
},
"throughput": {
"unit": "samples/s",
"value": 8.563798677996411
},
"energy": {
"unit": "kWh",
"cpu": 0.00023477029041666527,
"ram": 0.000009813570993522525,
"gpu": 0,
"total": 0.0002445838614101878
},
"efficiency": {
"unit": "samples/kWh",
"value": 40885.77203067849
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 4390.588416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.324631328999999,
1.1373790739999663
],
"count": 2,
"total": 2.462010402999965,
"mean": 1.2310052014999826,
"p50": 1.2310052014999826,
"p90": 1.3059061034999957,
"p95": 1.3152687162499972,
"p99": 1.3227588064499987,
"stdev": 0.09362612750001631,
"stdev_": 7.605664654051231
},
"throughput": {
"unit": "samples/s",
"value": 3.2493770092327727
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 4390.588416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.14549581,
1.1179114660000096,
1.113112846999968
],
"count": 3,
"total": 3.3765201229999775,
"mean": 1.1255067076666592,
"p50": 1.1179114660000096,
"p90": 1.1399789412000019,
"p95": 1.1427373756000008,
"p99": 1.1449441231200002,
"stdev": 0.014269544378301306,
"stdev_": 1.2678329041578231
},
"throughput": {
"unit": "samples/s",
"value": 5.3309322451208505
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |
null | null | cpu_training_transformers_token-classification_microsoft/deberta-v3-base | {
"name": "pytorch",
"version": "2.5.1+cpu",
"_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": "cpu",
"device_ids": null,
"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": {}
} | {
"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": true
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "31aa6620675bda1ecd6e40a22ecaa03106d279d8",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
} | true | true | null | null | null |
null | null | null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 4390.588416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.324631328999999,
1.1373790739999663,
1.14549581,
1.1179114660000096,
1.113112846999968
],
"count": 5,
"total": 5.838530525999943,
"mean": 1.1677061051999886,
"p50": 1.1373790739999663,
"p90": 1.2529771213999994,
"p95": 1.2888042251999992,
"p99": 1.3174659082399989,
"stdev": 0.0793706265981456,
"stdev_": 6.79714067132946
},
"throughput": {
"unit": "samples/s",
"value": 8.563798677996411
},
"energy": {
"unit": "kWh",
"cpu": 0.00023477029041666527,
"ram": 0.000009813570993522525,
"gpu": 0,
"total": 0.0002445838614101878
},
"efficiency": {
"unit": "samples/kWh",
"value": 40885.77203067849
}
} | {
"memory": {
"unit": "MB",
"max_ram": 4390.588416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.324631328999999,
1.1373790739999663
],
"count": 2,
"total": 2.462010402999965,
"mean": 1.2310052014999826,
"p50": 1.2310052014999826,
"p90": 1.3059061034999957,
"p95": 1.3152687162499972,
"p99": 1.3227588064499987,
"stdev": 0.09362612750001631,
"stdev_": 7.605664654051231
},
"throughput": {
"unit": "samples/s",
"value": 3.2493770092327727
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 4390.588416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.14549581,
1.1179114660000096,
1.113112846999968
],
"count": 3,
"total": 3.3765201229999775,
"mean": 1.1255067076666592,
"p50": 1.1179114660000096,
"p90": 1.1399789412000019,
"p95": 1.1427373756000008,
"p99": 1.1449441231200002,
"stdev": 0.014269544378301306,
"stdev_": 1.2678329041578231
},
"throughput": {
"unit": "samples/s",
"value": 5.3309322451208505
},
"energy": null,
"efficiency": null
} |
{
"name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"model": "microsoft/deberta-v3-base",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 5.583659903000068,
"mean": 1.1167319806000138,
"stdev": 0.07853258776030796,
"p50": 1.0731834320000075,
"p90": 1.2025418994000006,
"p95": 1.2374836681999908,
"p99": 1.265437083239983,
"values": [
1.2724254369999812,
1.0731834320000075,
1.0977165930000297,
1.0711078369999996,
1.0692266040000504
]
},
"throughput": {
"unit": "samples/s",
"value": 8.954700119385008
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 2.3456088689999888,
"mean": 1.1728044344999944,
"stdev": 0.09962100249998684,
"p50": 1.1728044344999944,
"p90": 1.252501236499984,
"p95": 1.2624633367499825,
"p99": 1.2704330169499816,
"values": [
1.2724254369999812,
1.0731834320000075
]
},
"throughput": {
"unit": "samples/s",
"value": 3.4106283045436583
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 3.2380510340000797,
"mean": 1.0793503446666932,
"stdev": 0.01300958794585394,
"p50": 1.0711078369999996,
"p90": 1.0923948418000236,
"p95": 1.0950557174000266,
"p99": 1.097184417880029,
"values": [
1.0977165930000297,
1.0711078369999996,
1.0692266040000504
]
},
"throughput": {
"unit": "samples/s",
"value": 5.558899415419021
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null | null | null |