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import torch.nn as nn |
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from .registry import PADDING_LAYERS |
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PADDING_LAYERS.register_module('zero', module=nn.ZeroPad2d) |
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PADDING_LAYERS.register_module('reflect', module=nn.ReflectionPad2d) |
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PADDING_LAYERS.register_module('replicate', module=nn.ReplicationPad2d) |
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def build_padding_layer(cfg, *args, **kwargs): |
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"""Build padding layer. |
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Args: |
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cfg (None or dict): The padding layer config, which should contain: |
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- type (str): Layer type. |
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- layer args: Args needed to instantiate a padding layer. |
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Returns: |
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nn.Module: Created padding layer. |
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""" |
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if not isinstance(cfg, dict): |
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raise TypeError('cfg must be a dict') |
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if 'type' not in cfg: |
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raise KeyError('the cfg dict must contain the key "type"') |
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cfg_ = cfg.copy() |
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padding_type = cfg_.pop('type') |
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if padding_type not in PADDING_LAYERS: |
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raise KeyError(f'Unrecognized padding type {padding_type}.') |
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else: |
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padding_layer = PADDING_LAYERS.get(padding_type) |
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layer = padding_layer(*args, **kwargs, **cfg_) |
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return layer |
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