Datasets:

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FastVideo

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FastVideo 286

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
baseline_reseed: bool
baseline_reseed_batch_index: int64
baseline_reseed_batch_size: int64
baseline_reseed_max_intra_batch_regression: double
baseline_reseed_operator: string
baseline_reseed_reason: string
baseline_reseed_source_result: string
baseline_reseed_source_success: bool
baseline_reseed_source_timestamp: string
commit_sha: string
dit_time_s: double
gpu_type: string
latency: double
memory: double
model_id: string
success: bool
text_encoder_time_s: double
throughput: double
timestamp: timestamp[s]
vae_decode_time_s: double
variant_id: string
environment_fingerprint: string
comparison_status_reason: string
branch: string
regression_thresholds: struct<latency: struct<threshold_percent: double, threshold_absolute: double, gated: bool>, throughp (... 443 chars omitted)
  child 0, latency: struct<threshold_percent: double, threshold_absolute: double, gated: bool>
      child 0, threshold_percent: double
      child 1, threshold_absolute: double
      child 2, gated: bool
  child 1, throughput: struct<threshold_percent: double, threshold_absolute: double, gated: bool>
      child 0, threshold_percent: double
      child 1, threshold_absolute: double
      child 2, gated: bool
  child 2, memory: struct<threshold_percent: double, threshold_absolute: double, gated: bool>
      child 0, threshold_percent: double
      child 1, threshold_absolute: double
      child 2, gated: bool
  child 3, text_encoder_time_s: struct<threshold_percent: double, threshold_absolute: double, gated:
...
tring, resolved_backend: list<item: string>>
      child 0, requested_backend: string
      child 1, resolved_backend: list<item: string>
          child 0, item: string
hardware_profile: struct<device_type: string, gpu_count: int64, gpus: list<item: struct<name: string, memory_gb: int64 (... 53 chars omitted)
  child 0, device_type: string
  child 1, gpu_count: int64
  child 2, gpus: list<item: struct<name: string, memory_gb: int64, compute_capability: string>>
      child 0, item: struct<name: string, memory_gb: int64, compute_capability: string>
          child 0, name: string
          child 1, memory_gb: int64
          child 2, compute_capability: string
  child 3, interconnect: string
test_scope: string
comparison_status: string
software_profile: struct<python: string, pytorch: string, cuda: string, packages: struct<fastvideo_kernel: string, fla (... 141 chars omitted)
  child 0, python: string
  child 1, pytorch: string
  child 2, cuda: string
  child 3, packages: struct<fastvideo_kernel: string, flash_attn: string, flashinfer: string, nvidia_cutlass_dsl: string, (... 16 chars omitted)
      child 0, fastvideo_kernel: string
      child 1, flash_attn: string
      child 2, flashinfer: string
      child 3, nvidia_cutlass_dsl: string
      child 4, triton: string
  child 4, attention_backend: string
  child 5, flash_attention_4_enabled: bool
build_id: string
workload_id: string
result_schema_version: int64
job_id: string
benchmark_version: int64
baseline_status: string
to
{'model_id': Value('string'), 'timestamp': Value('string'), 'commit_sha': Value('string'), 'gpu_type': Value('string'), 'latency': Value('float64'), 'throughput': Value('float64'), 'memory': Value('float64'), 'text_encoder_time_s': Value('float64'), 'dit_time_s': Value('float64'), 'vae_decode_time_s': Value('float64'), 'regression_thresholds': {'latency': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'throughput': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'memory': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'text_encoder_time_s': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'dit_time_s': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'vae_decode_time_s': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}}, 'success': Value('bool'), 'run_source': Value('string'), 'baseline_eligible': Value('bool'), 'branch': Value('string'), 'pr_number': Value('string'), 'test_scope': Value('string'), 'build_url': Value('string'), 'build_id': Value('string'), 'job_id': Value('string'), 'result_schema_version': Value('int64'), 'workload_id': Value('string'), 'variant_id': Value('string'), 'benchmark_version': Value('int64'), 'recipe': {'recipe_sc
...
l': Value('string'), 'flash_attn': Value('string'), 'flashinfer': Value('string'), 'nvidia_cutlass_dsl': Value('string'), 'triton': Value('string')}, 'attention_backend': Value('string'), 'flash_attention_4_enabled': Value('bool')}, 'software_profile_id': Value('string'), 'environment_metadata': {'python': {'version': Value('string'), 'implementation': Value('string')}, 'platform': {'system': Value('string'), 'machine': Value('string'), 'release': Value('string')}, 'torch': {'version': Value('string'), 'cuda': Value('string'), 'cudnn': Value('int64')}, 'env': {}, 'packages': {'fastvideo_kernel': Value('string'), 'flash_attn': Value('string'), 'flashinfer': Value('string'), 'nvidia_cutlass_dsl': Value('string'), 'triton': Value('string')}, 'hardware_profile': {'device_type': Value('string'), 'gpu_count': Value('int64'), 'gpus': List({'name': Value('string'), 'memory_gb': Value('int64'), 'compute_capability': Value('string')}), 'interconnect': Value('string')}, 'software_profile': {'python': Value('string'), 'pytorch': Value('string'), 'cuda': Value('string'), 'packages': {'fastvideo_kernel': Value('string'), 'flash_attn': Value('string'), 'flashinfer': Value('string'), 'nvidia_cutlass_dsl': Value('string'), 'triton': Value('string')}, 'attention_backend': Value('string'), 'flash_attention_4_enabled': Value('bool')}}, 'environment_fingerprint': Value('string'), 'baseline_status': Value('string'), 'comparison_status': Value('string'), 'comparison_status_reason': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              baseline_reseed: bool
              baseline_reseed_batch_index: int64
              baseline_reseed_batch_size: int64
              baseline_reseed_max_intra_batch_regression: double
              baseline_reseed_operator: string
              baseline_reseed_reason: string
              baseline_reseed_source_result: string
              baseline_reseed_source_success: bool
              baseline_reseed_source_timestamp: string
              commit_sha: string
              dit_time_s: double
              gpu_type: string
              latency: double
              memory: double
              model_id: string
              success: bool
              text_encoder_time_s: double
              throughput: double
              timestamp: timestamp[s]
              vae_decode_time_s: double
              variant_id: string
              environment_fingerprint: string
              comparison_status_reason: string
              branch: string
              regression_thresholds: struct<latency: struct<threshold_percent: double, threshold_absolute: double, gated: bool>, throughp (... 443 chars omitted)
                child 0, latency: struct<threshold_percent: double, threshold_absolute: double, gated: bool>
                    child 0, threshold_percent: double
                    child 1, threshold_absolute: double
                    child 2, gated: bool
                child 1, throughput: struct<threshold_percent: double, threshold_absolute: double, gated: bool>
                    child 0, threshold_percent: double
                    child 1, threshold_absolute: double
                    child 2, gated: bool
                child 2, memory: struct<threshold_percent: double, threshold_absolute: double, gated: bool>
                    child 0, threshold_percent: double
                    child 1, threshold_absolute: double
                    child 2, gated: bool
                child 3, text_encoder_time_s: struct<threshold_percent: double, threshold_absolute: double, gated:
              ...
              tring, resolved_backend: list<item: string>>
                    child 0, requested_backend: string
                    child 1, resolved_backend: list<item: string>
                        child 0, item: string
              hardware_profile: struct<device_type: string, gpu_count: int64, gpus: list<item: struct<name: string, memory_gb: int64 (... 53 chars omitted)
                child 0, device_type: string
                child 1, gpu_count: int64
                child 2, gpus: list<item: struct<name: string, memory_gb: int64, compute_capability: string>>
                    child 0, item: struct<name: string, memory_gb: int64, compute_capability: string>
                        child 0, name: string
                        child 1, memory_gb: int64
                        child 2, compute_capability: string
                child 3, interconnect: string
              test_scope: string
              comparison_status: string
              software_profile: struct<python: string, pytorch: string, cuda: string, packages: struct<fastvideo_kernel: string, fla (... 141 chars omitted)
                child 0, python: string
                child 1, pytorch: string
                child 2, cuda: string
                child 3, packages: struct<fastvideo_kernel: string, flash_attn: string, flashinfer: string, nvidia_cutlass_dsl: string, (... 16 chars omitted)
                    child 0, fastvideo_kernel: string
                    child 1, flash_attn: string
                    child 2, flashinfer: string
                    child 3, nvidia_cutlass_dsl: string
                    child 4, triton: string
                child 4, attention_backend: string
                child 5, flash_attention_4_enabled: bool
              build_id: string
              workload_id: string
              result_schema_version: int64
              job_id: string
              benchmark_version: int64
              baseline_status: string
              to
              {'model_id': Value('string'), 'timestamp': Value('string'), 'commit_sha': Value('string'), 'gpu_type': Value('string'), 'latency': Value('float64'), 'throughput': Value('float64'), 'memory': Value('float64'), 'text_encoder_time_s': Value('float64'), 'dit_time_s': Value('float64'), 'vae_decode_time_s': Value('float64'), 'regression_thresholds': {'latency': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'throughput': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'memory': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'text_encoder_time_s': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'dit_time_s': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}, 'vae_decode_time_s': {'threshold_percent': Value('float64'), 'threshold_absolute': Value('float64'), 'gated': Value('bool')}}, 'success': Value('bool'), 'run_source': Value('string'), 'baseline_eligible': Value('bool'), 'branch': Value('string'), 'pr_number': Value('string'), 'test_scope': Value('string'), 'build_url': Value('string'), 'build_id': Value('string'), 'job_id': Value('string'), 'result_schema_version': Value('int64'), 'workload_id': Value('string'), 'variant_id': Value('string'), 'benchmark_version': Value('int64'), 'recipe': {'recipe_sc
              ...
              l': Value('string'), 'flash_attn': Value('string'), 'flashinfer': Value('string'), 'nvidia_cutlass_dsl': Value('string'), 'triton': Value('string')}, 'attention_backend': Value('string'), 'flash_attention_4_enabled': Value('bool')}, 'software_profile_id': Value('string'), 'environment_metadata': {'python': {'version': Value('string'), 'implementation': Value('string')}, 'platform': {'system': Value('string'), 'machine': Value('string'), 'release': Value('string')}, 'torch': {'version': Value('string'), 'cuda': Value('string'), 'cudnn': Value('int64')}, 'env': {}, 'packages': {'fastvideo_kernel': Value('string'), 'flash_attn': Value('string'), 'flashinfer': Value('string'), 'nvidia_cutlass_dsl': Value('string'), 'triton': Value('string')}, 'hardware_profile': {'device_type': Value('string'), 'gpu_count': Value('int64'), 'gpus': List({'name': Value('string'), 'memory_gb': Value('int64'), 'compute_capability': Value('string')}), 'interconnect': Value('string')}, 'software_profile': {'python': Value('string'), 'pytorch': Value('string'), 'cuda': Value('string'), 'packages': {'fastvideo_kernel': Value('string'), 'flash_attn': Value('string'), 'flashinfer': Value('string'), 'nvidia_cutlass_dsl': Value('string'), 'triton': Value('string')}, 'attention_backend': Value('string'), 'flash_attention_4_enabled': Value('bool')}}, 'environment_fingerprint': Value('string'), 'baseline_status': Value('string'), 'comparison_status': Value('string'), 'comparison_status_reason': Value('string')}
              because column names don't match