提交 2f7e7d92 authored 作者: Gijs van Tulder's avatar Gijs van Tulder

Tiny documentation fix: two or three elements.

上级 d286cadb
......@@ -51,11 +51,11 @@ def get_conv_output_shape(image_shape, kernel_shape,
or numeric). If it is a string, it must be 'valid', 'half' or 'full'.
If it is a tuple, its two (or three) elements respectively correspond
to the padding on height and width (and possibly depth) axis.
subsample: tuple of int (symbolic or numeric). Its or three elements
subsample: tuple of int (symbolic or numeric). Its two or three elements
espectively correspond to the subsampling on height and width (and
possibly depth) axis.
filter_dilation: tuple of int (symbolic or numeric). Its two elements
correspond respectively to the dilation on height and width axis.
filter_dilation: tuple of int (symbolic or numeric). Its two or three
elements correspond respectively to the dilation on height and width axis.
Returns
-------
......@@ -270,8 +270,9 @@ def get_conv_gradinputs_shape(kernel_shape, top_shape,
subsample: tuple of int (symbolic or numeric). Its two or three elements
respectively correspond to the subsampling on height and width (and
possibly depth) axis.
filter_dilation: tuple of int (symbolic or numeric). Its two elements
correspond respectively to the dilation on height and width axis.
filter_dilation: tuple of int (symbolic or numeric). Its two or three
elements correspond respectively to the dilation on height and
width axis.
Returns
-------
......@@ -382,8 +383,9 @@ def check_conv_gradinputs_shape(image_shape, kernel_shape, output_shape,
subsample: tuple of int (symbolic or numeric). Its two or three elements
respectively correspond to the subsampling on height and width (and
possibly depth) axis.
filter_dilation: tuple of int (symbolic or numeric). Its two elements
correspond respectively to the dilation on height and width axis.
filter_dilation: tuple of int (symbolic or numeric). Its two or three
elements correspond respectively to the dilation on height and
width axis.
Returns
-------
......
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