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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'processor_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 1869, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 578, 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 399, 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 'processor_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 1885, 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 597, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 399, 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 'processor_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 1392, 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 1041, 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 999, 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 1740, 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 1896, 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": "openvino-gpt2-float16",
"backend": {
"name": "openvino",
"version": "2024.4.0",
"_target_": "optimum_benchmark.backends.openvino.backend.OVBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "gpt2",
"processor": "gpt2",
"device": "cpu",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {
"trust_remote_code": true
},
"processor_kwargs": {},
"no_weights": true,
"export": true,
"use_cache": true,
"use_merged": false,
"openvino_config": {},
"half": false,
"reshape": false,
"quantization": false,
"quantization_config": {},
"calibration": false,
"calibration_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 10,
"duration": 10,
"warmup_runs": 10,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 128
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 32,
"min_new_tokens": 32
},
"call_kwargs": {}
},
"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": " Intel(R) Xeon(R) Platinum 8488C",
"cpu_count": 32,
"cpu_ram_mb": 66327.134208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-1066-aws-x86_64-with-glibc2.31",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "0faf284ddcd8d7fa75fa6bdb54c80ca3dd368207",
"transformers_version": "4.44.2",
"transformers_commit": "0faf284ddcd8d7fa75fa6bdb54c80ca3dd368207",
"accelerate_version": "1.0.1",
"accelerate_commit": "0faf284ddcd8d7fa75fa6bdb54c80ca3dd368207",
"diffusers_version": null,
"diffusers_commit": null,
"optimum_version": "1.23.1",
"optimum_commit": null,
"timm_version": null,
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
} | {
"load": {
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},
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},
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"total": 9.412862456403673,
"mean": 0.007405871326832158,
"p50": 0.007235229015350342,
"p90": 0.007543892948888242,
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"p99": 0.009525309386663138,
"stdev": 0.0014968002434896934,
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},
"throughput": {
"unit": "tokens/s",
"value": 135.02800087504994
},
"energy": null,
"efficiency": null
}
} |
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