mmagic.models.editors.deepfillv1.contextual_attention_neck

Module Contents

Classes

ContextualAttentionNeck

Neck with contextual attention module.

class mmagic.models.editors.deepfillv1.contextual_attention_neck.ContextualAttentionNeck(in_channels, conv_type='conv', conv_cfg=None, norm_cfg=None, act_cfg=dict(type='ELU'), contextual_attention_args=dict(softmax_scale=10.0), **kwargs)

Bases: mmengine.model.BaseModule

Neck with contextual attention module.

Parameters

• in_channels (int) – The number of input channels.

• conv_type (str) – The type of conv module. In DeepFillv1 model, the conv_type should be ‘conv’. In DeepFillv2 model, the conv_type should be ‘gated_conv’.

• conv_cfg (dict | None) – Config of conv module. Default: None.

• norm_cfg (dict | None) – Config of norm module. Default: None.

• act_cfg (dict | None) – Config of activation layer. Default: dict(type=’ELU’).

• contextual_attention_args (dict) – Config of contextual attention module. Default: dict(softmax_scale=10.).

• kwargs (keyword arguments) –

_conv_type

forward(x, mask)

Forward Function.

Parameters

• x (torch.Tensor) – Input tensor with shape of (n, c, h, w).

• mask (torch.Tensor) – Input tensor with shape of (n, 1, h, w).

Returns

Output tensor with shape of (n, c, h’, w’).

Return type

torch.Tensor