PyTorch 2.1.1 Release, bug fix release
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This release is meant to fix the following issues (regressions / silent correctness): * Remove spurious warning in comparison ops (#112170) * Fix segfault in foreach_* operations when input list length does not match (#112349) * Fix cuda driver API to load the appropriate .so file (#112996) * Fix missing CUDA initialization when calling FFT operations (#110326) * Ignore beartype==0.16.0 within the onnx package as it is incompatible (#111861) * Fix the behavior of torch.new_zeros in onnx due to TorchScript behavior change (#111694) * Remove unnecessary slow code in `torch.distributed.checkpoint.optimizer.load_sharded_optimizer_state_dict` (#111687) * Add `planner` argument to `torch.distributed.checkpoint.optimizer.load_sharded_optimizer_state_dict` (#111393) * Continue if param not exist in sharded load in `torch.distributed.FSDP` (#109116) * Fix handling of non-contiguous bias_mask in `torch.nn.functional.scaled_dot_product_attention` (#112673) * Fix the meta device implementation for `nn.functional.scaled_dot_product_attention` (#110893) * Fix copy from mps to cpu device when storage_offset is non-zero (#109557) * Fix segfault in `torch.sparse.mm` for non-contiguous inputs (#1...
Read the original at the source: https://github.com/pytorch/pytorch/releases/tag/v2.1.1
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- September 15, 2026 19:08
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