Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema_version: int64
kernels: list<item: struct<name: string, source: string, description: string, tags: list<item: string>, compi (... 33 chars omitted)
child 0, item: struct<name: string, source: string, description: string, tags: list<item: string>, compile_cmd: str (... 21 chars omitted)
child 0, name: string
child 1, source: string
child 2, description: string
child 3, tags: list<item: string>
child 0, item: string
child 4, compile_cmd: string
child 5, run_cmd: string
to
{'kernels': List({'name': Value('string'), 'source': Value('string'), 'description': Value('string'), 'tags': List(Value('string')), 'compile_cmd': Value('string'), 'run_cmd': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema_version: int64
kernels: list<item: struct<name: string, source: string, description: string, tags: list<item: string>, compi (... 33 chars omitted)
child 0, item: struct<name: string, source: string, description: string, tags: list<item: string>, compile_cmd: str (... 21 chars omitted)
child 0, name: string
child 1, source: string
child 2, description: string
child 3, tags: list<item: string>
child 0, item: string
child 4, compile_cmd: string
child 5, run_cmd: string
to
{'kernels': List({'name': Value('string'), 'source': Value('string'), 'description': Value('string'), 'tags': List(Value('string')), 'compile_cmd': Value('string'), 'run_cmd': Value('string')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
PyC CUDA kernel lab
This repository documents 19 CUDA kernel-lab entries from PyC. It is a source and evidence release, not a compiled binary distribution and not a claim that all entries are wired into PyC runtime dispatch.
Contents
kernels/prototypes/: standalone CUDA prototype sources.manifests/lab_kernels.json: the 19-entry lab catalog, including build/run commands.manifests/registry_kernels.json: the catalog mirrored into the registry release.PERFORMANCE_SUMMARY.md: selected H100 campaign measurements and the optimization progression.
Optimization themes
The progression covers shared-memory tiling, WMMA Tensor Core execution, BF16
versus FP16, cp.async double buffering, CTA shape, K-stage depth, warp work
assignment, and cuBLASLt as a hardware-library ceiling/control.
Performance numbers are campaign-specific measurements. They should be read with the GPU, CUDA toolchain, matrix shape, correctness mode, and timing method from the accompanying evidence; they are not universal benchmarks.
Reproduce
The commands in manifests/kernels.json use {nvcc}, {source}, and
{build_dir} placeholders. Replace them with a CUDA 12.x toolchain, a suitable
Hopper or Ada GPU, and a local build directory before running.
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