Datasets:

---

optimum-benchmark

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cuda

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Optimum-Benchmark 11

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
name: string
backend: struct<name: string, version: string, _target_: string, task: string, library: string, model_type: s (... 669 chars omitted)
  child 0, name: string
  child 1, version: string
  child 2, _target_: string
  child 3, task: string
  child 4, library: string
  child 5, model_type: string
  child 6, model: string
  child 7, processor: string
  child 8, device: string
  child 9, device_ids: string
  child 10, seed: int64
  child 11, inter_op_num_threads: null
  child 12, intra_op_num_threads: null
  child 13, model_kwargs: struct<>
  child 14, processor_kwargs: struct<>
  child 15, no_weights: bool
  child 16, device_map: null
  child 17, torch_dtype: null
  child 18, eval_mode: bool
  child 19, to_bettertransformer: bool
  child 20, low_cpu_mem_usage: null
  child 21, attn_implementation: null
  child 22, cache_implementation: null
  child 23, autocast_enabled: bool
  child 24, autocast_dtype: null
  child 25, torch_compile: bool
  child 26, torch_compile_target: string
  child 27, torch_compile_config: struct<>
  child 28, quantization_scheme: null
  child 29, quantization_config: struct<>
  child 30, deepspeed_inference: bool
  child 31, deepspeed_inference_config: struct<>
  child 32, peft_type: null
  child 33, peft_config: struct<>
scenario: struct<name: string, _target_: string, max_steps: int64, warmup_steps: int64, dataset_shapes: struct (... 466 chars omitted)
  child 0, name: string
  child 1, _target_: string
  child 2, max_steps: int64
  child 3, 
...
evice_isolation: bool, device_isolation_action: string, numa (... 58 chars omitted)
      child 0, name: string
      child 1, _target_: string
      child 2, device_isolation: bool
      child 3, device_isolation_action: string
      child 4, numactl: bool
      child 5, numactl_kwargs: struct<>
      child 6, start_method: string
  child 4, environment: struct<cpu: string, cpu_count: int64, cpu_ram_mb: double, system: string, machine: string, platform: (... 469 chars omitted)
      child 0, cpu: string
      child 1, cpu_count: int64
      child 2, cpu_ram_mb: double
      child 3, system: string
      child 4, machine: string
      child 5, platform: string
      child 6, processor: string
      child 7, python_version: string
      child 8, gpu: list<item: string>
          child 0, item: string
      child 9, gpu_count: int64
      child 10, gpu_vram_mb: int64
      child 11, optimum_benchmark_version: string
      child 12, optimum_benchmark_commit: null
      child 13, transformers_version: string
      child 14, transformers_commit: null
      child 15, accelerate_version: string
      child 16, accelerate_commit: null
      child 17, diffusers_version: string
      child 18, diffusers_commit: null
      child 19, optimum_version: null
      child 20, optimum_commit: null
      child 21, timm_version: string
      child 22, timm_commit: null
      child 23, peft_version: string
      child 24, peft_commit: null
  child 5, print_report: bool
  child 6, log_report: bool
to
{'config': {'name': Value('string'), 'backend': {'name': Value('string'), 'version': Value('string'), '_target_': Value('string'), 'task': Value('string'), 'library': Value('string'), 'model_type': Value('string'), 'model': Value('string'), 'processor': Value('string'), 'device': Value('string'), 'device_ids': Value('string'), 'seed': Value('int64'), 'inter_op_num_threads': Value('null'), 'intra_op_num_threads': Value('null'), 'model_kwargs': {}, 'processor_kwargs': {}, 'no_weights': Value('bool'), 'device_map': Value('null'), 'torch_dtype': Value('null'), 'eval_mode': Value('bool'), 'to_bettertransformer': Value('bool'), 'low_cpu_mem_usage': Value('null'), 'attn_implementation': Value('null'), 'cache_implementation': Value('null'), 'autocast_enabled': Value('bool'), 'autocast_dtype': Value('null'), 'torch_compile': Value('bool'), 'torch_compile_target': Value('string'), 'torch_compile_config': {}, 'quantization_scheme': Value('null'), 'quantization_config': {}, 'deepspeed_inference': Value('bool'), 'deepspeed_inference_config': {}, 'peft_type': Value('null'), 'peft_config': {}}, 'scenario': {'name': Value('string'), '_target_': Value('string'), 'max_steps': Value('int64'), 'warmup_steps': Value('int64'), 'dataset_shapes': {'dataset_size': Value('int64'), 'sequence_length': Value('int64'), 'num_choices': Value('int64')}, 'training_arguments': {'per_device_train_batch_size': Value('int64'), 'gradient_accumulation_steps': Value('int64'), 'output_dir': Value('string'), 'evaluati
...
gy': {'unit': Value('string'), 'cpu': Value('float64'), 'ram': Value('float64'), 'gpu': Value('float64'), 'total': Value('float64')}, 'efficiency': {'unit': Value('string'), 'value': Value('float64')}}, 'warmup': {'memory': {'unit': Value('string'), 'max_ram': Value('float64'), 'max_global_vram': Value('float64'), 'max_process_vram': Value('float64'), 'max_reserved': Value('float64'), 'max_allocated': Value('float64')}, 'latency': {'unit': Value('string'), 'values': List(Value('float64')), 'count': Value('int64'), 'total': Value('float64'), 'mean': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p95': Value('float64'), 'p99': Value('float64'), 'stdev': Value('float64'), 'stdev_': Value('float64')}, 'throughput': {'unit': Value('string'), 'value': Value('float64')}, 'energy': Value('null'), 'efficiency': Value('null')}, 'train': {'memory': {'unit': Value('string'), 'max_ram': Value('float64'), 'max_global_vram': Value('float64'), 'max_process_vram': Value('float64'), 'max_reserved': Value('float64'), 'max_allocated': Value('float64')}, 'latency': {'unit': Value('string'), 'values': List(Value('float64')), 'count': Value('int64'), 'total': Value('float64'), 'mean': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p95': Value('float64'), 'p99': Value('float64'), 'stdev': Value('float64'), 'stdev_': Value('float64')}, 'throughput': {'unit': Value('string'), 'value': Value('float64')}, 'energy': Value('null'), 'efficiency': Value('null')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              name: string
              backend: struct<name: string, version: string, _target_: string, task: string, library: string, model_type: s (... 669 chars omitted)
                child 0, name: string
                child 1, version: string
                child 2, _target_: string
                child 3, task: string
                child 4, library: string
                child 5, model_type: string
                child 6, model: string
                child 7, processor: string
                child 8, device: string
                child 9, device_ids: string
                child 10, seed: int64
                child 11, inter_op_num_threads: null
                child 12, intra_op_num_threads: null
                child 13, model_kwargs: struct<>
                child 14, processor_kwargs: struct<>
                child 15, no_weights: bool
                child 16, device_map: null
                child 17, torch_dtype: null
                child 18, eval_mode: bool
                child 19, to_bettertransformer: bool
                child 20, low_cpu_mem_usage: null
                child 21, attn_implementation: null
                child 22, cache_implementation: null
                child 23, autocast_enabled: bool
                child 24, autocast_dtype: null
                child 25, torch_compile: bool
                child 26, torch_compile_target: string
                child 27, torch_compile_config: struct<>
                child 28, quantization_scheme: null
                child 29, quantization_config: struct<>
                child 30, deepspeed_inference: bool
                child 31, deepspeed_inference_config: struct<>
                child 32, peft_type: null
                child 33, peft_config: struct<>
              scenario: struct<name: string, _target_: string, max_steps: int64, warmup_steps: int64, dataset_shapes: struct (... 466 chars omitted)
                child 0, name: string
                child 1, _target_: string
                child 2, max_steps: int64
                child 3, 
              ...
              evice_isolation: bool, device_isolation_action: string, numa (... 58 chars omitted)
                    child 0, name: string
                    child 1, _target_: string
                    child 2, device_isolation: bool
                    child 3, device_isolation_action: string
                    child 4, numactl: bool
                    child 5, numactl_kwargs: struct<>
                    child 6, start_method: string
                child 4, environment: struct<cpu: string, cpu_count: int64, cpu_ram_mb: double, system: string, machine: string, platform: (... 469 chars omitted)
                    child 0, cpu: string
                    child 1, cpu_count: int64
                    child 2, cpu_ram_mb: double
                    child 3, system: string
                    child 4, machine: string
                    child 5, platform: string
                    child 6, processor: string
                    child 7, python_version: string
                    child 8, gpu: list<item: string>
                        child 0, item: string
                    child 9, gpu_count: int64
                    child 10, gpu_vram_mb: int64
                    child 11, optimum_benchmark_version: string
                    child 12, optimum_benchmark_commit: null
                    child 13, transformers_version: string
                    child 14, transformers_commit: null
                    child 15, accelerate_version: string
                    child 16, accelerate_commit: null
                    child 17, diffusers_version: string
                    child 18, diffusers_commit: null
                    child 19, optimum_version: null
                    child 20, optimum_commit: null
                    child 21, timm_version: string
                    child 22, timm_commit: null
                    child 23, peft_version: string
                    child 24, peft_commit: null
                child 5, print_report: bool
                child 6, log_report: bool
              to
              {'config': {'name': Value('string'), 'backend': {'name': Value('string'), 'version': Value('string'), '_target_': Value('string'), 'task': Value('string'), 'library': Value('string'), 'model_type': Value('string'), 'model': Value('string'), 'processor': Value('string'), 'device': Value('string'), 'device_ids': Value('string'), 'seed': Value('int64'), 'inter_op_num_threads': Value('null'), 'intra_op_num_threads': Value('null'), 'model_kwargs': {}, 'processor_kwargs': {}, 'no_weights': Value('bool'), 'device_map': Value('null'), 'torch_dtype': Value('null'), 'eval_mode': Value('bool'), 'to_bettertransformer': Value('bool'), 'low_cpu_mem_usage': Value('null'), 'attn_implementation': Value('null'), 'cache_implementation': Value('null'), 'autocast_enabled': Value('bool'), 'autocast_dtype': Value('null'), 'torch_compile': Value('bool'), 'torch_compile_target': Value('string'), 'torch_compile_config': {}, 'quantization_scheme': Value('null'), 'quantization_config': {}, 'deepspeed_inference': Value('bool'), 'deepspeed_inference_config': {}, 'peft_type': Value('null'), 'peft_config': {}}, 'scenario': {'name': Value('string'), '_target_': Value('string'), 'max_steps': Value('int64'), 'warmup_steps': Value('int64'), 'dataset_shapes': {'dataset_size': Value('int64'), 'sequence_length': Value('int64'), 'num_choices': Value('int64')}, 'training_arguments': {'per_device_train_batch_size': Value('int64'), 'gradient_accumulation_steps': Value('int64'), 'output_dir': Value('string'), 'evaluati
              ...
              gy': {'unit': Value('string'), 'cpu': Value('float64'), 'ram': Value('float64'), 'gpu': Value('float64'), 'total': Value('float64')}, 'efficiency': {'unit': Value('string'), 'value': Value('float64')}}, 'warmup': {'memory': {'unit': Value('string'), 'max_ram': Value('float64'), 'max_global_vram': Value('float64'), 'max_process_vram': Value('float64'), 'max_reserved': Value('float64'), 'max_allocated': Value('float64')}, 'latency': {'unit': Value('string'), 'values': List(Value('float64')), 'count': Value('int64'), 'total': Value('float64'), 'mean': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p95': Value('float64'), 'p99': Value('float64'), 'stdev': Value('float64'), 'stdev_': Value('float64')}, 'throughput': {'unit': Value('string'), 'value': Value('float64')}, 'energy': Value('null'), 'efficiency': Value('null')}, 'train': {'memory': {'unit': Value('string'), 'max_ram': Value('float64'), 'max_global_vram': Value('float64'), 'max_process_vram': Value('float64'), 'max_reserved': Value('float64'), 'max_allocated': Value('float64')}, 'latency': {'unit': Value('string'), 'values': List(Value('float64')), 'count': Value('int64'), 'total': Value('float64'), 'mean': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p95': Value('float64'), 'p99': Value('float64'), 'stdev': Value('float64'), 'stdev_': Value('float64')}, 'throughput': {'unit': Value('string'), 'value': Value('float64')}, 'energy': Value('null'), 'efficiency': Value('null')}}}
              because column names don't match