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Revert D21337640: [pytorch][PR] Split up documentation into subpages and clean up some warnings

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Test Plan: revert-hammer

Differential Revision:
D21337640

Original commit changeset: d4ad198780c3

fbshipit-source-id: fa9ba6ac542173a50bdb45bfa12f3fec0ed704fb
This commit is contained in:
Michael Suo
2020-05-04 10:55:56 -07:00
committed by Facebook GitHub Bot
parent fd05debbcd
commit 20f7e62b1d
51 changed files with 1968 additions and 1682 deletions
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16
torch/_tensor_docs.py
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@ -1384,13 +1384,7 @@ The :attr:`dim`\ th dimension of :attr:`tensor` must have the same size as the
length of :attr:`index` (which must be a vector), and all other dimensions must
match :attr:`self`, or an error will be raised.
Note:
In some circumstances when using the CUDA backend with CuDNN, this operator
may select a nondeterministic algorithm to increase performance. If this is
undesirable, you can try to make the operation deterministic (potentially at
a performance cost) by setting ``torch.backends.cudnn.deterministic =
True``.
Please see the notes on :doc:`/notes/randomness` for background.
.. include:: cuda_deterministic.rst
Args:
dim (int): dimension along which to index
@ -2517,13 +2511,7 @@ dimensions. It is also required that ``index.size(d) <= src.size(d)`` for all
dimensions ``d``, and that ``index.size(d) <= self.size(d)`` for all dimensions
``d != dim``.
Note:
In some circumstances when using the CUDA backend with CuDNN, this operator
may select a nondeterministic algorithm to increase performance. If this is
undesirable, you can try to make the operation deterministic (potentially at
a performance cost) by setting ``torch.backends.cudnn.deterministic =
True``.
Please see the notes on :doc:`/notes/randomness` for background.
.. include:: cuda_deterministic.rst
Args:
dim (int): the axis along which to index