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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 | 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-3.1-8B",
"processor": "NousResearch/Hermes-3-Llama-3.1-8B",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"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": true
},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"amp_autocast": false,
"amp_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"torch_compile": false,
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
} | {
"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",
"truncation": true,
"max_length": -1,
"dataset_prefix1": "",
"dataset_prefix2": "",
"t5_task": "",
"image_column_name": "image",
"resize": false,
"question_column_name": "question",
"context_column_name": "context",
"sentence1_column_name": "sentence1",
"sentence2_column_name": "sentence2",
"audio_column_name": "audio",
"iterations": 10,
"warmup_runs": 10,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 10,
"min_new_tokens": 10
},
"call_kwargs": {}
} | {
"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": "3.9.21",
"gpu": [
"NVIDIA A100-SXM4-80GB"
],
"gpu_count": 1,
"gpu_vram_mb": 85899345920,
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": null,
"timm_commit": null,
"peft_version": null,
"peft_commit": 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 | 2025-01-14T02:35:39 | codecarbon | 1b9facce-07dc-48ee-a9da-47fe33191783 | -1,725,969,928.739702 | 0.000019 | 0.00002 | 120 | 74.432008 | 0.364154 | 0.000032 | 0.00002 | 0 | 0.000052 | United States | USA | virginia | Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35 | 3.9.21 | 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 |
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