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The Pitfalls of In-Place Tensor Modifications in PyTorch
This chapter explores the common practices of tensor manipulation in PyTorch, specifically addressing the issues associated with in-place modifications. It highlights the minimal performance benefits of such practices and stresses the importance of following official guidelines to prevent inefficiencies and errors.