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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.
name string | backend dict | scenario dict | launcher dict | environment dict | print_report bool | log_report bool | load_model dict | prefill dict | decode dict | per_token dict |
|---|---|---|---|---|---|---|---|---|---|---|
2024-12-14-01:08:37/openvino | {
"name": "openvino",
"version": "2024.5.0",
"_target_": "optimum_benchmark.backends.openvino.backend.OVBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"device": "cpu",
"device_ids": null,
... | {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 10,
"duration": 10,
"warmup_runs": 10,
"input_shapes": {
"batch_size": 2,
"sequence_length": 16
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": false,
"f... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": true,
"numactl_kwargs": {
"cpunodebind": 0,
"membind": 0
},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7R13 Processor",
"cpu_count": 64,
"cpu_ram_mb": 529717.02272,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36",
"processor": "",
"python_version": "3.10.16",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchma... | false | true | null | null | null | null |
null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2404.78208,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
13.756473794579506
],
"count": 1,
"total": 13.756473794579506,
"mean": 13... | {
"memory": {
"unit": "MB",
"max_ram": 2689.736704,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.07398736849427223,
0.029373228549957275,
0.024510670453310013,
0.091... | {
"memory": {
"unit": "MB",
"max_ram": 2689.736704,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.6019481234252453,
1.6740308925509453,
1.4961739405989647,
1.72757016... | {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.19695370271801949,
0.014433618634939194,
0.11470652371644974,
0.015602178871631622,
0.06397586688399315,
0.09148439019918442,
0.0167316235601902,
0.08356616646051407,
0.013493556529283524,
0... |
2024-12-14-01:08:37/pytorch | {
"name": "pytorch",
"version": "2.5.1",
"_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,
... | {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 10,
"duration": 10,
"warmup_runs": 10,
"input_shapes": {
"batch_size": 2,
"sequence_length": 16
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": false,
"f... | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": true,
"numactl_kwargs": {
"cpunodebind": 0,
"membind": 0
},
"start_method": "spawn"
} | {
"cpu": " AMD EPYC 7R13 Processor",
"cpu_count": 64,
"cpu_ram_mb": 529717.02272,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36",
"processor": "",
"python_version": "3.10.16",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchma... | false | true | null | null | null | null |
null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 1770.164224,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.16448256373405457
],
"count": 1,
"total": 0.16448256373405457,
"mean":... | {
"memory": {
"unit": "MB",
"max_ram": 1477.910528,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.11856814101338387,
0.1313060112297535,
0.12226760759949684,
0.167704... | {
"memory": {
"unit": "MB",
"max_ram": 1477.910528,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
2.180434599518776,
2.178643047809601,
2.0944099202752113,
2.0224006287... | {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.08779526501893997,
0.031724125146865845,
0.08054688200354576,
0.08848565816879272,
0.08472781255841255,
0.03262260928750038,
0.08875623717904091,
0.08033949509263039,
0.03188587725162506,
0.... |
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