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16 | 16 |
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17 | 17 |
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18 | 18 | conv1d = _add_docstr(torch.conv1d, r""" |
19 | | -conv1d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1, padding_mode='zeros') -> Tensor |
| 19 | +conv1d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1) -> Tensor |
20 | 20 |
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21 | 21 | Applies a 1D convolution over an input signal composed of several input |
22 | 22 | planes. |
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37 | 37 | a one-element tuple `(dW,)`. Default: 1 |
38 | 38 | groups: split input into groups, :math:`\text{in\_channels}` should be divisible by |
39 | 39 | the number of groups. Default: 1 |
40 | | - padding_mode: the type of paddings applied to both sided can be: `zeros` or `circular`. Default: `zeros` |
41 | 40 |
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42 | 41 | Examples:: |
43 | 42 |
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47 | 46 | """) |
48 | 47 |
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49 | 48 | conv2d = _add_docstr(torch.conv2d, r""" |
50 | | -conv2d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1, padding_mode='zeros') -> Tensor |
| 49 | +conv2d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1) -> Tensor |
51 | 50 |
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52 | 51 | Applies a 2D convolution over an input image composed of several input |
53 | 52 | planes. |
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68 | 67 | a tuple `(dH, dW)`. Default: 1 |
69 | 68 | groups: split input into groups, :math:`\text{in\_channels}` should be divisible by the |
70 | 69 | number of groups. Default: 1 |
71 | | - padding_mode: the type of paddings applied to both sided can be: `zeros` or `circular`. Default: `zeros` |
72 | 70 |
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73 | 71 | Examples:: |
74 | 72 |
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79 | 77 | """) # noqa: E501 |
80 | 78 |
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81 | 79 | conv3d = _add_docstr(torch.conv3d, r""" |
82 | | -conv3d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1, padding_mode='zeros') -> Tensor |
| 80 | +conv3d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1) -> Tensor |
83 | 81 |
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84 | 82 | Applies a 3D convolution over an input image composed of several input |
85 | 83 | planes. |
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100 | 98 | a tuple `(dT, dH, dW)`. Default: 1 |
101 | 99 | groups: split input into groups, :math:`\text{in\_channels}` should be divisible by |
102 | 100 | the number of groups. Default: 1 |
103 | | - padding_mode: the type of paddings applied to both sided can be: `zeros` or `circular`. Default: `zeros` |
104 | 101 |
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105 | 102 | Examples:: |
106 | 103 |
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