trnsci
Scientific computing suite for AWS Trainium via NKI. Six focused libraries providing the cu* equivalents the Neuron SDK doesn't ship.
Suite
| Project | NVIDIA analog | Scope |
|---|---|---|
| trnfft | cuFFT | FFT, complex tensors, complex NN layers |
| trnblas | cuBLAS | Level 1–3 BLAS, batched GEMM |
| trnrand | cuRAND | Philox PRNG, Sobol/Halton QMC, LHS |
| trnsolver | cuSOLVER | Cholesky/LU/QR, Jacobi eigh, CG/GMRES |
| trnsparse | cuSPARSE | CSR/COO, SpMV/SpMM, Schwarz screening |
| trntensor | cuTENSOR | einsum with contraction planning, CP/Tucker |
Install
# Meta-package with all six sub-projects
pip install trnsci[all]
# Individual components
pip install trnsci[fft] # just trnfft
pip install trnsci[blas] # just trnblas
# ... etc
# On Neuron hardware
pip install trnsci[all,neuron]
Development install
git clone git@github.com:trnsci/trnsci.git
cd trnsci
make install-dev # pip install -e on each sub-project + umbrella
make test-all # run pytest across all sub-projects
Cross-project example
python examples/quantum_chemistry/df_mp2_synthetic.py --demo
DF-MP2 energy evaluation composing trnblas (half-transforms), trnsolver (Cholesky of DF metric), and trntensor (einsum contraction). See also examples/nvidia_samples/ for direct ports of canonical NVIDIA CUDA samples.
Status
All sub-projects are Alpha. CPU/PyTorch fallback is functional end-to-end. NKI kernels are scaffolded across the suite; on-hardware validation is the next milestone.
Community
License
Apache 2.0 — Copyright 2026 Scott Friedman
1 maintainer
Metadata
1 maintainer
Release files for trnsci 0.1.0
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| File | Size | Uploaded | |
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| trnsci-0.1.0.tar.gz | 40.4 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| trnsci-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 47.0 kB
Release files / trnsci-0.1.0.tar.gz
| Download URL | trnsci-0.1.0.tar.gz |
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| Tags | Source |
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| Tags | Python 3 |
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