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Merged
ssnl merged 5 commits into from
Jun 20, 2018
Merged

more formatting #8701

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8245e12
fix formatting in :math: in fold docstring
JackLangerman Jun 20, 2018
20480b0
Merge branch 'master' into jacklangerman-formatting
JackLangerman Jun 20, 2018
817e702
Merge branch 'master' into jacklangerman-formatting
JackLangerman Jun 20, 2018
3eca92c
Merge branch 'master' into jacklangerman-formatting
JackLangerman Jun 20, 2018
b39f316
escape more underscores
JackLangerman Jun 20, 2018
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6 changes: 3 additions & 3 deletions torch/nn/modules/fold.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@
class Fold(Module):
"""
De-interleaves vectors of length :math:`\prod(kernel\_size)` from the "channel"
dimension of the input tensor to generate blocks of size :math:`kernel_size`
dimension of the input tensor to generate blocks of size :math:`kernel\_size`
of the output. These blocks populate the "spatial" dimensions [2:]
of the output via a sliding window with positions determined by the
padding, stride and dilation values. The "channel" dimension 1 of the output
Expand Down Expand Up @@ -42,7 +42,7 @@ class Fold(Module):
Shape:
- Input: :math:`(N, C, L_{in})`
- Output: :math:`(N * C * \prod(kernel\_size), L_{out},)` where
:math:`L_{out} = floor((L_{in} + 2 * padding - dilation * (kernel_size - 1) - 1) / stride + 1)`
:math:`L_{out} = floor((L_{in} + 2 * padding - dilation * (kernel\_size - 1) - 1) / stride + 1)`

Examples::

Expand Down Expand Up @@ -113,7 +113,7 @@ class Unfold(Module):
Shape:
- Input: :math:`(N, C, L_{in})`
- Output: :math:`(N, C * \prod(kernel\_size), L_{out},)` where
:math:`L_{out} = floor((L_{in} + 2 * padding - dilation * (kernel_size - 1) - 1) / stride + 1)`
:math:`L_{out} = floor((L_{in} + 2 * padding - dilation * (kernel\_size - 1) - 1) / stride + 1)`

Examples::

Expand Down