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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'torch_compile_config' 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 'torch_compile_config' 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 'torch_compile_config' 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.
experiment_name string | backend dict | launcher dict | benchmark dict | environment dict | prefill dict | decode dict | per_token dict | preprocess dict | timestamp timestamp[us] | project_name string | run_id string | duration float64 | emissions float64 | emissions_rate float64 | cpu_power float64 | gpu_power float64 | ram_power float64 | cpu_energy float64 | gpu_energy float64 | ram_energy float64 | energy_consumed float64 | country_name string | country_iso_code string | region string | cloud_provider string | cloud_region string | os string | python_version string | codecarbon_version string | cpu_count int64 | cpu_model string | gpu_count int64 | gpu_model string | longitude float64 | latitude float64 | ram_total_size float64 | tracking_mode string | on_cloud string | pue float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "NousResearch/Hermes-3-Llama-3.1-70B",
"processor": "NousResearch/Hermes-3-Llama-3.1-70B",
"library": "transformers",
"device": "cuda",
"device_ids": "0... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "warn",
"start_method": "spawn"
} | {
"name": "energy_star",
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
"dataset_name": "EnergyStarAI/text_generation",
"dataset_config": "",
"dataset_split": "train",
"num_samples": 1000,
"input_shapes": {
"batch_size": 1
},
"text_column_name": "text",
"tr... | {
"cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
"cpu_count": 96,
"cpu_ram_mb": 1204529.905664,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.9.20",
"gpu": [
"NVIDIA A100-SXM4-... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | {
"memory": null,
"latency": null,
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.010771365165906027,
"ram": 0.000042438637758223256,
"gpu": 0.03499995191660332,
"total": 0.04581375572026757
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7896383.83303204
},
"measu... | {
"memory": null,
"latency": null,
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.006909195393007252,
"ram": 0.000027241396927033754,
"gpu": 0.016518416020279855,
"total": 0.023454852810214137
},
"efficiency": {
"unit": "tokens/kWh",
"value": 383715.9018998692
},
"me... | {
"memory": null,
"latency": null,
"throughput": null,
"energy": null,
"efficiency": null,
"measures": null
} | {
"memory": null,
"latency": null,
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00003136402598271767,
"ram": 9.47190721638247e-8,
"gpu": 0.000020315571802598242,
"total": 0.000051774316857479744
},
"efficiency": {
"unit": "samples/kWh",
"value": 19314595.743536726
},... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "NousResearch/Hermes-3-Llama-3.1-8B",
"processor": "NousResearch/Hermes-3-Llama-3.1-8B",
"library": "transformers",
"device": "cuda",
"device_ids": "0",... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "warn",
"start_method": "spawn"
} | {
"name": "energy_star",
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
"dataset_name": "EnergyStarAI/text_generation",
"dataset_config": "",
"dataset_split": "train",
"num_samples": 1000,
"input_shapes": {
"batch_size": 1
},
"text_column_name": "text",
"tr... | {
"cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
"cpu_count": 96,
"cpu_ram_mb": 1204529.905664,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.9.20",
"gpu": [
"NVIDIA A100-SXM4-... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | 2024-10-31T01:45:36 | codecarbon | 9b44e373-79e1-42d2-a8a3-7a17097cc038 | -1,726,061,022.483971 | 0.0284 | 0.000048 | 120 | 349.599509 | 0.472934 | 0.019641 | 0.05722 | 0.000077 | 0.076938 | United States | USA | virginia | Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 96 | Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz | 1 | 1 x NVIDIA A100-SXM4-80GB | -77.4903 | 39.0469 | 1,121.805893 | process | N | 1 | ||
null | null | null | null | null | null | null | null | null | 2024-10-31T00:07:22 | codecarbon | 9b44e373-79e1-42d2-a8a3-7a17097cc038 | -1,726,061,253.057946 | 0.01878 | 0.000052 | 120 | 390.207659 | 0.472846 | 0.011955 | 0.038874 | 0.000047 | 0.050876 | United States | USA | virginia | Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 96 | Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz | 1 | 1 x NVIDIA A100-SXM4-80GB | -77.4903 | 39.0469 | 1,121.805893 | process | N | 1 | ||
null | null | null | null | null | null | null | null | null | 2024-10-30T23:07:28 | codecarbon | 9b44e373-79e1-42d2-a8a3-7a17097cc038 | -1,726,061,610.765814 | 0.000019 | 0.00002 | 120 | 78.098636 | 0.364706 | 0.000031 | 0.00002 | 0 | 0.000052 | United States | USA | virginia | Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 96 | Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz | 1 | 1 x NVIDIA A100-SXM4-80GB | -77.4903 | 39.0469 | 1,121.805893 | process | N | 1 | ||
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
"processor": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
"library": "transformers",
"device": "cuda",
... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "warn",
"start_method": "spawn"
} | {
"name": "energy_star",
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
"dataset_name": "EnergyStarAI/text_generation",
"dataset_config": "",
"dataset_split": "train",
"num_samples": 1000,
"input_shapes": {
"batch_size": 1
},
"text_column_name": "text",
"tr... | {
"cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
"cpu_count": 96,
"cpu_ram_mb": 1204529.905664,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.9.20",
"gpu": [
"NVIDIA A100-SXM4-... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "google/gemma-2-27b-it",
"processor": "google/gemma-2-27b-it",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "warn",
"start_method": "spawn"
} | {
"name": "energy_star",
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
"dataset_name": "EnergyStarAI/text_generation",
"dataset_config": "",
"dataset_split": "train",
"num_samples": 1000,
"input_shapes": {
"batch_size": 1
},
"text_column_name": "text",
"tr... | {
"cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
"cpu_count": 96,
"cpu_ram_mb": 1204529.905664,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.9.20",
"gpu": [
"NVIDIA A100-SXM4-... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "google/gemma-2-9b-it",
"processor": "google/gemma-2-9b-it",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_n... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "warn",
"start_method": "spawn"
} | {
"name": "energy_star",
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
"dataset_name": "EnergyStarAI/text_generation",
"dataset_config": "",
"dataset_split": "train",
"num_samples": 1000,
"input_shapes": {
"batch_size": 1
},
"text_column_name": "text",
"tr... | {
"cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
"cpu_count": 96,
"cpu_ram_mb": 1204529.905664,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.9.20",
"gpu": [
"NVIDIA A100-SXM4-... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | {
"memory": null,
"latency": null,
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.010796036717298752,
"ram": 0.00004221247271874213,
"gpu": 0.035094443769978056,
"total": 0.04593269295999555
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7875937.087230494
},
"meas... | {
"memory": null,
"latency": null,
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.006907515534659228,
"ram": 0.000027028633857338117,
"gpu": 0.01715961075545351,
"total": 0.024094154923970088
},
"efficiency": {
"unit": "tokens/kWh",
"value": 373534.5783406723
},
"mea... | {
"memory": null,
"latency": null,
"throughput": null,
"energy": null,
"efficiency": null,
"measures": null
} | {
"memory": null,
"latency": null,
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.000031577332566181814,
"ram": 9.538423654320006e-8,
"gpu": 0.000021227516981525696,
"total": 0.000052900233784250705
},
"efficiency": {
"unit": "samples/kWh",
"value": 18903508.14097379
}... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "meta-llama/Llama-3.1-8B-Instruct",
"processor": "meta-llama/Llama-3.1-8B-Instruct",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "warn",
"start_method": "spawn"
} | {
"name": "energy_star",
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
"dataset_name": "EnergyStarAI/text_generation",
"dataset_config": "",
"dataset_split": "train",
"num_samples": 1000,
"input_shapes": {
"batch_size": 1
},
"text_column_name": "text",
"tr... | {
"cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
"cpu_count": 96,
"cpu_ram_mb": 1204529.905664,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.9.20",
"gpu": [
"NVIDIA A100-SXM4-... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | 2024-10-30T22:16:52 | codecarbon | 44d9819e-fd7f-4e87-9ec7-b5475ec334af | -1,726,061,021.783446 | 0.028686 | 0.000049 | 120 | 353.767415 | 0.469344 | 0.019664 | 0.057971 | 0.000077 | 0.077712 | United States | USA | virginia | Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 96 | Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz | 1 | 1 x NVIDIA A100-SXM4-80GB | -77.4903 | 39.0469 | 1,121.805893 | process | N | 1 | ||
null | null | null | null | null | null | null | null | null | 2024-10-30T20:38:30 | codecarbon | 44d9819e-fd7f-4e87-9ec7-b5475ec334af | -1,726,061,252.153407 | 0.018782 | 0.000052 | 120 | 388.96925 | 0.469252 | 0.011985 | 0.038848 | 0.000047 | 0.05088 | United States | USA | virginia | Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 96 | Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz | 1 | 1 x NVIDIA A100-SXM4-80GB | -77.4903 | 39.0469 | 1,121.805893 | process | N | 1 | ||
null | null | null | null | null | null | null | null | null | 2024-10-30T19:38:26 | codecarbon | 44d9819e-fd7f-4e87-9ec7-b5475ec334af | -1,726,061,610.76087 | 0.00002 | 0.000021 | 120 | 81.038643 | 0.36463 | 0.000032 | 0.000021 | 0 | 0.000053 | United States | USA | virginia | Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 96 | Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz | 1 | 1 x NVIDIA A100-SXM4-80GB | -77.4903 | 39.0469 | 1,121.805893 | process | N | 1 | ||
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "mistralai/Mistral-7B-Instruct-v0.3",
"processor": "mistralai/Mistral-7B-Instruct-v0.3",
"library": "transformers",
"device": "cuda",
"device_ids": "0",... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "warn",
"start_method": "spawn"
} | {
"name": "energy_star",
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
"dataset_name": "EnergyStarAI/text_generation",
"dataset_config": "",
"dataset_split": "train",
"num_samples": 1000,
"input_shapes": {
"batch_size": 1
},
"text_column_name": "text",
"tr... | {
"cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
"cpu_count": 96,
"cpu_ram_mb": 1204529.905664,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.9.20",
"gpu": [
"NVIDIA A100-SXM4-... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "mistralai/Mixtral-8x22B-Instruct-v0.1",
"processor": "mistralai/Mixtral-8x22B-Instruct-v0.1",
"library": "transformers",
"device": "cuda",
"device_ids"... | {
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text_generation | {
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text_generation | {
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text_generation | {
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text_generation | {
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text_generation | {
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text_generation | {
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text_generation | {
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text_generation | {
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text_generation | {
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null | null | null | null | null | null | null | null | null | 2024-10-03T19:04:17 | codecarbon | a786915c-f253-4a5e-be38-23af937e8b0d | -1,727,580,592.207487 | 0.00108 | 0.000016 | 42.5 | 116.475072 | 0.409999 | 0.00078 | 0.002137 | 0.000008 | 0.002925 | United States | USA | virginia | Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 48 | AMD EPYC 7R32 | 1 | 1 x NVIDIA A10G | -77.4903 | 39.0469 | 186.704788 | process | N | 1 | ||
null | null | null | null | null | null | null | null | null | 2024-10-03T18:53:18 | codecarbon | a786915c-f253-4a5e-be38-23af937e8b0d | -1,727,580,648.042218 | 0.000281 | 0.000027 | 42.5 | 225.233591 | 0.409939 | 0.000121 | 0.00064 | 0.000001 | 0.000762 | United States | USA | virginia | Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 48 | AMD EPYC 7R32 | 1 | 1 x NVIDIA A10G | -77.4903 | 39.0469 | 186.704788 | process | N | 1 | ||
null | null | null | null | null | null | null | null | null | 2024-10-03T18:51:35 | codecarbon | a786915c-f253-4a5e-be38-23af937e8b0d | -1,727,580,657.388506 | 0.000011 | 0.000012 | 42.5 | 73.154842 | 0.284643 | 0.00001 | 0.000018 | 0 | 0.000028 | United States | USA | virginia | Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.20 | 2.5.1 | 48 | AMD EPYC 7R32 | 1 | 1 x NVIDIA A10G | -77.4903 | 39.0469 | 186.704788 | process | N | 1 | ||
text_generation | {
"name": "pytorch",
"version": "2.4.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"model": "NousResearch/Hermes-3-Llama-3.1-70B",
"processor": "NousResearch/Hermes-3-Llama-3.1-70B",
"library": "transformers",
"device": "cuda",
"device_ids": "0... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "warn",
"start_method": "spawn"
} | {
"name": "energy_star",
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
"dataset_name": "EnergyStarAI/text_generation",
"dataset_config": "",
"dataset_split": "train",
"num_samples": 1000,
"input_shapes": {
"batch_size": 1
},
"text_column_name": "text",
"tr... | {
"cpu": " Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz",
"cpu_count": 96,
"cpu_ram_mb": 1204530.110464,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.9.20",
"gpu": [
"NVIDIA A100-SXM4-... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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