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PyTorch

PyTorch 2.10 introduces performance improvements and numerical debugging capabilities. Key features include Python 3.14 support for torch.compile, combo-kernels horizontal fusion to reduce kernel launch overhead, a new varlen_attn() operation for ragged sequences, efficient eigenvalue decompositions with DnXgeev, deterministic mode support in torch.compile, and DebugMode for tracking numerical divergence. The release also deprecates TorchScript in favor of torch.export and increases the 2026 release cadence to bimonthly.

PyTorch 2.10 Release Blog – PyTorch

Performance Related API-UNSTABLE Features

Numerical Debugging Related API-UNSTABLE Features