PatchEmbed

class mmpretrain.models.utils.PatchEmbed(img_size=224, in_channels=3, embed_dims=768, norm_cfg=None, conv_cfg=None, init_cfg=None)

Image to Patch Embedding.

We use a conv layer to implement PatchEmbed.

Parameters:

• img_size (int | tuple) – The size of input image. Default: 224

• in_channels (int) – The num of input channels. Default: 3

• embed_dims (int) – The dimensions of embedding. Default: 768

• norm_cfg (dict, optional) – Config dict for normalization layer. Default: None

• conv_cfg (dict, optional) – The config dict for conv layers. Default: None

• init_cfg (mmcv.ConfigDict, optional) – The Config for initialization. Default: None