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[PyTorch] Store Tensor explicitly in IValue #48824
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[PyTorch] Store Tensor explicitly in IValue
swolchok 0198db9
reduce code duplication on "[PyTorch] Store Tensor explicitly in IValue"
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remove unnecessary std::move on "[PyTorch] Store Tensor explicitly in…
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Update on "[PyTorch] Store Tensor explicitly in IValue"
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Update on "[PyTorch] Store Tensor explicitly in IValue"
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Remove Elvis operator. Fix ASAN violation. on "[PyTorch] Store Tensor…
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Update on "[PyTorch] Store Tensor explicitly in IValue"
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rebase, add a few more tests on "[PyTorch] Store Tensor explicitly in…
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more UB removal on "[PyTorch] Store Tensor explicitly in IValue"
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fix isAliasOf and isPtrType on "[PyTorch] Store Tensor explicitly in …
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Update on "[PyTorch] Store Tensor explicitly in IValue"
Enables following diff, which will make toTensor() return `const Tensor&` and allow callers to avoid refcounting overhead. Differential Revision: [D25324617](https://our.internmc.facebook.com/intern/diff/D25324617/) [ghstack-poisoned]
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this is potentially slow because it needs to do the
isTensor
checks again (depending on how smart the compiler is with inlining this and proving that the extra branches are never executed). Not sure if relevant in practice, but if you want to optimize it, you could just move lines 332 to 335 into their own subfunctionswapWithTensor(lhs, rhs)
or something like that and call it from both theisTensor()
andrhs.isTensor()
case.