arXiv:2610.37838v1 Announce Type: new Abstract: AI compiler and runtime stacks must preserve bindings between tensor values and their operations, storage, and execution state. These bindings can fail while the underlying objects remain present, with symptoms appearing in another layer. We present TensorBound, an empirical study of tensor binding failures in IREE and the XLA and PyTorch ecosystems.
TensorBound: Characterizing Tensor Binding Failures in AI Compiler and Runtime Stacks
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