Posts tagged #tensor

Apr 27, 2026 · 9 min

ToRSh 0.1.2 Released — Real AVX2/NEON SIMD and a Zero-Copy Tensor Memory Pool

ToRSh is a pure-Rust, PyTorch-compatible deep-learning framework with native tensor sharding. 0.1.2 lands real AVX2/NEON SIMD for f32 ops and activations, a true zero-copy buffer pool (100% heap-block reduction on hot loops), and SIMD + parallel enabled by default.

releasetorshdeep-learning

Mar 20, 2026 · 6 min

ToRSh 0.1.1 Released — A Stabilized Pure-Rust PyTorch, Now With a Model Converter

ToRSh is a PyTorch-compatible deep-learning framework in pure Rust with native tensor sharding. The 0.1.1 release hardens the 33-crate workspace onto consistent, published crates.io dependencies and adds the new torsh-convert model-converter CLI.

releasetorshdeep-learning

Mar 6, 2026 · 8 min

TenRSo 0.1.0-rc.1 Released — A Rust-Native Tensor Stack: Generalized Contraction, Decompositions, and Out-of-Core, the Last Step Before Stable

TenRSo is a production-grade, Rust-native tensor computing stack — generalized contraction plus a cost-based planner, sparse/low-rank mixed execution, CP/Tucker/TT decompositions, and out-of-core processing. This release candidate adds masked einsum, executor element-wise ops, TT-SVD gradients, and CP regularization as we approach our first stable cut.

releasetenrsotensor