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Added explicit tuple dimensions to doc for Conv1d. #4136

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Merged
ezyang merged 3 commits into from
Dec 15, 2017
Merged

Added explicit tuple dimensions to doc for Conv1d. #4136

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31c8a8f
Added explicit tuple dimensions to doc for Conv1d.
ejoebstl Dec 12, 2017
4d0ce4c
Checked out correct submodule version.
ejoebstl Dec 12, 2017
28691ba
"one-dimensional" -> "one-element"
ejoebstl Dec 12, 2017
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6 changes: 3 additions & 3 deletions torch/nn/functional.py
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Expand Up @@ -31,11 +31,11 @@ def conv1d(input, weight, bias=None, stride=1, padding=0, dilation=1,
weight: filters of shape (out_channels x in_channels x kW)
bias: optional bias of shape (out_channels). Default: None
stride: the stride of the convolving kernel. Can be a single number or
a tuple (sW,). Default: 1
a one-element tuple (sW,). Default: 1
padding: implicit zero paddings on both sides of the input. Can be a
single number or a tuple (padW,). Default: 0
single number or a one-element tuple (padW,). Default: 0
dilation: the spacing between kernel elements. Can be a single number or
a tuple (dW,). Default: 1
a one-element tuple (dW,). Default: 1
groups: split input into groups, in_channels should be divisible by
the number of groups. Default: 1

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2 changes: 1 addition & 1 deletion torch/nn/modules/conv.py
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Expand Up @@ -83,7 +83,7 @@ class Conv1d(_ConvNd):
:math:`L` is a length of signal sequence.

| :attr:`stride` controls the stride for the cross-correlation, a single
number or a tuple.
number or a one-element tuple.
| :attr:`padding` controls the amount of implicit zero-paddings on both
| sides for :attr:`padding` number of points.
| :attr:`dilation` controls the spacing between the kernel points; also
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