trunk/6cc6717722d64796d622a3c23ee1f34222f7cec6: Fix torch.compile crash with batched matmul in inference_mode (#181913)

PyTorch has recently addressed a critical issue in its framework with a fix for the torch.compile crash that occurred during batched matrix multiplication in inference mode. This problem, tracked as issue #181512, was caused by a KeyError during the storage-to-base tensor lookup. The fix implements a more robust approach using the .get() method instead of direct dictionary indexing, significantly enhancing the stability of tensor operations in this context.

With this update, developers can expect improved reliability when compiling models that utilize batched matrix multiplications in inference mode. The resolution of this issue not only prevents crashes but also streamlines the workflow for machine learning practitioners who depend on PyTorch for their AI projects. By ensuring that view tensors are properly handled, PyTorch continues to solidify its reputation as a reliable framework for deep learning applications.