Alias torch.diagonal, torch.diagflat #5622
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colesbury
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Mar 9, 2018
aten/src/ATen/native/TensorShape.cpp
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| @@ -37,6 +37,17 @@ std::vector<Tensor> chunk(const Tensor& self, int64_t chunks, int64_t dim) { | |||
| return self.split(split_size, dim); | |||
| } | |||
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| Tensor diagflat(const Tensor& self, int64_t offset) { | |||
| return self.view(-1).diag(offset); | |||
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colesbury
reviewed
Mar 9, 2018
torch/_torch_docs.py
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| -1.0817 | ||
| [torch.FloatTensor of size 3] | ||
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| >>> torch.diag(a, 1) |
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I think this is a good idea. It's worth adding the sanity checks. |
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Fixes #3213
This adds
torch.diagonalandtorch.diagflat(like in numpy) to solve the problem thattorch.diagis unintuitive to users and performs two functions. The implementations oftorch.diagonalandtorch.diagflatjust calltorch.diag.I'm not sure if this is the best idea to solve the problem of
torch.diagbeing weird to users because this does complicate the API (with this change, there will be 3 diag functions). If we think this is a good idea, I'll add some quick sanity tests to test_torch and test_cuda to check thattorch.diagonalandtorch.diagflatdo what they're supposed to.cc @gchanan @colesbury