adding more docs for torch.* functions #430
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apaszke
reviewed
Jan 11, 2017
| add_docstr(torch._C.reshape, | ||
| """ | ||
| Returns a Tensor where each sub-tensor of :attr:`input` along dimension :attr:`dim` | ||
| is normalized such that the `p`-norm of the sub-tensor is lower than the value :attr:`maxnorm` |
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| If `input` is of shape: :math:`(A x 1 x B)`, `squeeze(input, 0)` leaves the Tensor unchanged, | ||
| but `squeeze(input, 1)` will squeeze the tensor to the shape :math:`(A x B)`. | ||
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| .. note:: The returned Tensor shares the storage with the input Tensor, |
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fmassa
reviewed
Jan 11, 2017
| @@ -1833,6 +1946,48 @@ | |||
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| add_docstr(torch._C.masked_select, | |||
| """ | |||
| index_select(input, mask, out=None) -> Tensor | |||
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fmassa
reviewed
Jan 11, 2017
| @@ -2935,6 +3167,39 @@ | |||
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| add_docstr(torch._C.squeeze, | |||
| """ | |||
| squeeze(input, dim=None, out=None) | |||
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| Returns a `Tensor` with all the dimensions of :attr:`input` of size `1`. | |||
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|
made changes requested and pushed to master. |
colesbury
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Feb 9, 2017
cuda implementation of Gated Linear Unit, fixed issues with genericization
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Add bcast flags to BroadcastOp
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Sep 20, 2021
eellison
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Jun 29, 2022
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now only the following are left: