[ready] torch.* doc update for Variable/Tensor merge, and other improvements#5443
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soumith merged 6 commits intopytorch:masterfrom Mar 9, 2018
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[ready] torch.* doc update for Variable/Tensor merge, and other improvements#5443soumith merged 6 commits intopytorch:masterfrom
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colesbury
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torch/csrc/Module.cpp
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The nn.* counterpart of pytorch#5443 . Mostly removed Variable wrapper. Also added doc for nn.RReLU. Notice that torch.randn(*, requires_grad=True) isn't documented until pytorch#5462 is done.
fmassa
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torch/__init__.py
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@colesbury could you take a look at this? Most of the changes are examples formatting and |
fmassa
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torch/_tensor_docs.py
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…inting style 2. Remove functions in torch/functional.py that are already implemented with native_function 3. Add set_detault_tensor_type doc
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@pytorchbot retest this please |
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changes lgtm assuming the tests pass
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Summary: ~~This PR fixes #8525 by renaming `split_with_sizes` to `split` so that 2 `aten::split` ops are generated (previously `aten::split(self, int, int)` and `aten::split_with_sizes(self, int[], int)` were generated)~~ ~~`split_with_sizes` was made in PR #5443, but I don't see a reason for it to have a different name than `split` rather than just overload `split`.~~ This PR fixes #8525 by adding `register_special_ops.cpp` to mirror Python dispatching from `split` to `split` and `split_with_sizes` in [tensor.py](https://github.com/pytorch/pytorch/blob/master/torch/tensor.py#L279). It also fixes #8520 by adding an `int[]` wherever it sees `torch.Size` In a follow up PR this could also be used to fix some of the other `unknown builtin op` test errors. Pull Request resolved: #11051 Differential Revision: D9582443 Pulled By: driazati fbshipit-source-id: d27201f85937d72e45e851eaa1460dd3dd1b61a9
PenghuiCheng
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Sep 11, 2018
Summary: ~~This PR fixes pytorch#8525 by renaming `split_with_sizes` to `split` so that 2 `aten::split` ops are generated (previously `aten::split(self, int, int)` and `aten::split_with_sizes(self, int[], int)` were generated)~~ ~~`split_with_sizes` was made in PR pytorch#5443, but I don't see a reason for it to have a different name than `split` rather than just overload `split`.~~ This PR fixes pytorch#8525 by adding `register_special_ops.cpp` to mirror Python dispatching from `split` to `split` and `split_with_sizes` in [tensor.py](https://github.com/pytorch/pytorch/blob/master/torch/tensor.py#L279). It also fixes pytorch#8520 by adding an `int[]` wherever it sees `torch.Size` In a follow up PR this could also be used to fix some of the other `unknown builtin op` test errors. Pull Request resolved: pytorch#11051 Differential Revision: D9582443 Pulled By: driazati fbshipit-source-id: d27201f85937d72e45e851eaa1460dd3dd1b61a9
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-> floatfunctions become-> Tensor), and new printing styletorch/functional.pythat are already implemented with native_function. Move their doc to_torch_docs.pyand_tensor_docs.py.set_detault_tensor_typedoctorch.gels(Docs Error: Incorrect Output of torch.gels() Example #5431 )torch.split. The method behaves differently basing on the type of 2nd arg.splitandsplit_with_sizes. The Python API stays the same with the if-statement invariable.py.torch.splitfunctional form, this commit also movesfrom .functional import *to after ATen bindings intorch/__init__.py._add_doc_strto work on Python functions sotorch.splitdoc can remain in_torch_docs.py.partially addresses #5571
cc @vishwakftw hope that this doesn't conflict with what you are working on.