PyTorch 2.14.0 always validates sparse-tensor invariants under `weights_only=True`.

Released September 2, the security section makes torch.load(..., weights_only=True) always validate sparse-tensor invariants so malformed checkpoints cannot create tensors whose indices cause out-of-bounds reads. It's an O(nnz) scan that runs regardless of the global torch.sparse.check_sparse_tensor_invariants setting, and the notes explicitly say not to use weights_only=False as a workaround for untrusted files. Flight Recorder rank expressions are now parsed with ast.literal_eval() instead of eval(). Headline features: NVGEMM CuTeDSL-generated CUTLASS kernels in Inductor, torch.switch for multi-way branching, and native Apple Silicon linear algebra including Jacobi-kernel SVD, eigh, QR and Cholesky.