(self,
in_channels,
out_channels,
kernel_size,
stride=1,
padding=0,
dilation=1,
groups=1,
bias='auto',
conv_cfg=None,
norm_cfg=None,
act_cfg=dict(type='ReLU'),
inplace=True,
with_spectral_norm=False,
padding_mode='zeros',
order=('conv', 'norm', 'act'))
| 55 | Default: ('conv', 'norm', 'act'). |
| 56 | """ |
| 57 | def __init__(self, |
| 58 | in_channels, |
| 59 | out_channels, |
| 60 | kernel_size, |
| 61 | stride=1, |
| 62 | padding=0, |
| 63 | dilation=1, |
| 64 | groups=1, |
| 65 | bias='auto', |
| 66 | conv_cfg=None, |
| 67 | norm_cfg=None, |
| 68 | act_cfg=dict(type='ReLU'), |
| 69 | inplace=True, |
| 70 | with_spectral_norm=False, |
| 71 | padding_mode='zeros', |
| 72 | order=('conv', 'norm', 'act')): |
| 73 | super(ConvModule, self).__init__() |
| 74 | assert conv_cfg is None or isinstance(conv_cfg, dict) |
| 75 | assert norm_cfg is None or isinstance(norm_cfg, dict) |
| 76 | assert act_cfg is None or isinstance(act_cfg, dict) |
| 77 | official_padding_mode = ['zeros', 'circular'] |
| 78 | self.conv_cfg = copy.deepcopy(conv_cfg) |
| 79 | self.norm_cfg = copy.deepcopy(norm_cfg) |
| 80 | self.act_cfg = copy.deepcopy(act_cfg) |
| 81 | self.inplace = inplace |
| 82 | self.with_spectral_norm = with_spectral_norm |
| 83 | self.with_explicit_padding = padding_mode not in official_padding_mode |
| 84 | self.order = order |
| 85 | assert isinstance(self.order, tuple) and len(self.order) == 3 |
| 86 | assert set(order) == set(['conv', 'norm', 'act']) |
| 87 | |
| 88 | self.with_norm = norm_cfg is not None |
| 89 | self.with_activation = act_cfg is not None |
| 90 | |
| 91 | # if the conv layer is before a norm layer, bias is unnecessary. |
| 92 | if bias == 'auto': |
| 93 | bias = not self.with_norm |
| 94 | self.with_bias = bias |
| 95 | |
| 96 | if self.with_explicit_padding: |
| 97 | pad_cfg = dict(type=padding_mode) |
| 98 | self.padding_layer = build_padding_layer(pad_cfg, padding) |
| 99 | |
| 100 | conv_padding = 0 if self.with_explicit_padding else padding |
| 101 | |
| 102 | self.conv = build_conv_layer( |
| 103 | conv_cfg, |
| 104 | in_channels, |
| 105 | out_channels, |
| 106 | kernel_size, |
| 107 | stride=stride, |
| 108 | padding=conv_padding, |
| 109 | dilation=dilation, |
| 110 | groups=groups, |
| 111 | bias=bias) |
| 112 | |
| 113 | if self.with_spectral_norm: |
| 114 | self.conv = nn.utils.spectral_norm(self.conv) |
nothing calls this directly
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