TensorStudio 1.16.0
TensorStudio 1.16.0 completes the Ecosystem And Advanced Features roadmap batch.
Highlights:
- Experimental COO sparse tensors with dense conversion, coalescing, transpose, and sparse-dense matmul.
- Public dataset readers for CSV, JSONL, text-line, and LIBSVM-style files.
- Tiny model-zoo factories, language-model helpers, quantization research utilities, and a custom kernel registry.
- Distributed research helpers for single-process collectives and deterministic data-parallel planning.
- Optional ONNX Runtime adapter via tensorstudio[onnxruntime], with TensorStudio importer fallback when runtime execution fails.
- Updated docs, benchmarks, examples, and local release validation.
Validation:
- python test_all.py --quiet
- python -m mkdocs build --strict
- python benchmark_all.py --check-thresholds
- python benchmarks\bench_matmul.py
- python -m build
- python -m twine check dist*
- python tools\verify_artifacts.py --wheel-dir dist --sdist-dir dist
Limitations remain explicit: CPU tensor execution only, no CUDA/Metal kernels, no production distributed runtime, and no native full ONNX runtime.