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Posts tagged #pytorch

3 posts

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
Feb 23, 2026 · 2 min

ToRSh 0.1.0 Released — The Pure Rust PyTorch-Compatible Deep Learning Framework with Sharding

Drop-in PyTorch replacement in pure Rust. Full SciRS2 integration (18 crates), SIMD CPU backend, autograd, and native sharding support. 2—3× faster inference, 50% less memory, single-binary deployment — no Python, no CUDA required.

releasetorshpytorch