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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 dataset

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name
string
backend
dict
scenario
dict
launcher
dict
environment
dict
print_report
bool
log_report
bool
load
dict
prefill
dict
decode
dict
per_token
dict
IlyasMoutawwakil/2024-11-19-13-49-41/openvino
{ "name": "openvino", "version": "2024.4.1.dev20240926", "_target_": "optimum_benchmark.backends.openvino.backend.OVBackend", "task": "text-generation", "library": "transformers", "model_type": "llama", "model": "trl-internal-testing/tiny-random-LlamaForCausalLM", "processor": "trl-internal-testing/tiny-random-LlamaForCausalLM", "device": "cpu", "device_ids": null, "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": false, "export": true, "use_cache": true, "use_merged": true, "openvino_config": {}, "half": false, "reshape": false, "quantization": false, "quantization_config": {}, "calibration": false, "calibration_config": {} }
{ "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, "energy": false, "forward_kwargs": {}, "generate_kwargs": { "max_new_tokens": 32, "min_new_tokens": 32 }, "call_kwargs": {} }
{ "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": "3.10.15", "optimum_benchmark_version": "0.5.0.dev0", "optimum_benchmark_commit": null, "transformers_version": "4.46.3", "transformers_commit": null, "accelerate_version": "1.1.1", "accelerate_commit": null, "diffusers_version": null, "diffusers_commit": null, "optimum_version": "1.23.3", "optimum_commit": null, "timm_version": null, "timm_commit": null, "peft_version": null, "peft_commit": null }
false
true
null
null
null
null
null
null
null
null
null
null
null
{ "memory": { "unit": "MB", "max_ram": 960.589824, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 2.9781770296394825 ], "count": 1, "total": 2.9781770296394825, "mean": 2.9781770296394825, "p50": 2.9781770296394825, "p90": 2.9781770296394825, "p95": 2.9781770296394825, "p99": 2.9781770296394825, "stdev": 0, "stdev_": 0 }, "throughput": null, "energy": null, "efficiency": null }
{ "memory": { "unit": "MB", "max_ram": 985.403392, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.004796821624040604, 0.004813913255929947, 0.004652008414268494, 0.004884980618953705, 0.056500762701034546, 0.004649311304092407, 0.00819346308708191, 0.05841105431318283, 0.0046674273908138275, 0.004680272191762924, 0.0046446844935417175, 0.004725191742181778, 0.007833540439605713, 0.0047346316277980804, 0.05633223056793213, 0.0046889930963516235, 0.0046456120908260345, 0.062317728996276855, 0.004881333559751511, 0.004728477448225021, 0.07317119464278221, 0.004640981554985046, 0.0048096925020217896, 0.004775911569595337, 0.004752945154905319, 0.004621680825948715, 0.004667390137910843, 0.004682164639234543, 0.004793774336576462, 0.004806231707334518, 0.004716403782367706, 0.004913464188575745, 0.004680182784795761, 0.00475083664059639, 0.004586812108755112, 0.004780825227499008, 0.00470801442861557, 0.056658368557691574, 0.004792813211679459 ], "count": 39, "total": 0.5260921269655228, "mean": 0.013489541717064686, "p50": 0.004752945154905319, "p90": 0.05653228387236595, "p95": 0.05880172178149224, "p99": 0.06904687769711015, "stdev": 0.020223833101356555, "stdev_": 149.92231408256652 }, "throughput": { "unit": "tokens/s", "value": 2372.2080906217157 }, "energy": null, "efficiency": null }
{ "memory": { "unit": "MB", "max_ram": 985.403392, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.26592930033802986, 0.21516337618231773, 0.286930613219738, 0.21556589379906654, 0.2070387899875641, 0.2093116119503975, 0.21275963634252548, 0.20973585546016693, 0.21489622071385384, 0.2778015397489071, 0.20707297697663307, 0.2809239737689495, 0.40571077167987823, 0.21633761376142502, 0.21322113648056984, 0.2093835026025772, 0.21101843938231468, 0.4294917434453964, 0.2699609026312828, 0.2301780991256237, 0.21109439060091972, 0.26969505846500397, 0.21923928707838058, 0.27318545430898666, 0.20641374215483665, 0.20867283642292023, 0.2715306468307972, 0.21664238721132278, 0.27505922317504883, 0.21407104656100273, 0.2759604975581169, 0.2139219529926777, 0.2684822492301464, 0.21580934152007103, 0.27795660123229027, 0.21569675207138062, 0.214339978992939, 0.31829220429062843, 0.21248847991228104 ], "count": 39, "total": 9.566984128206968, "mean": 0.2453072853386402, "p50": 0.21580934152007103, "p90": 0.2821253016591072, "p95": 0.3270340610295535, "p99": 0.42045497417449945, "stdev": 0.0508028703642843, "stdev_": 20.70989057424539 }, "throughput": { "unit": "tokens/s", "value": 252.7442261423693 }, "energy": null, "efficiency": null }
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IlyasMoutawwakil/2024-11-19-13-49-41/pytorch
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IlyasMoutawwakil/2024-11-19-18-54-41/openvino
{ "name": "openvino", "version": "2024.4.1.dev20240926", "_target_": "optimum_benchmark.backends.openvino.backend.OVBackend", "task": "text-generation", "library": "transformers", "model_type": "qwen2", "model": "Qwen/Qwen2.5-0.5B", "processor": "Qwen/Qwen2.5-0.5B", "device": "cpu", "device_ids": null, "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": false, "export": true, "use_cache": true, "use_merged": true, "openvino_config": {}, "half": false, "reshape": false, "quantization": false, "quantization_config": {}, "calibration": false, "calibration_config": {} }
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IlyasMoutawwakil/2024-11-19-18-54-41/pytorch
{ "name": "pytorch", "version": "2.5.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-generation", "library": "transformers", "model_type": "qwen2", "model": "Qwen/Qwen2.5-0.5B", "processor": "Qwen/Qwen2.5-0.5B", "device": "cpu", "device_ids": null, "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": false, "device_map": null, "torch_dtype": "float32", "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": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, "energy": false, "forward_kwargs": {}, "generate_kwargs": { "max_new_tokens": 32, "min_new_tokens": 32 }, "call_kwargs": {} }
{ "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" }
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