class_docstr: Image to Patch Embedding
      
class_docstr_tok: ["Image","to","Patch","Embedding"]
code: def __init__(
      self,
      img_size=[224, 224],
      patch_size=16,
      in_chans=3,
      embed_dim=768,
  ):
      super().__init__()
      self.num_patches_w = img_size[0] // patch_size
      self.num_patches_h = img_size[1] // patch_size
  
      num_patches = self.num_patches_w * self.num_patches_h
      self.patch_shape = (
          img_size[0] // patch_size,
          img_size[1] // patch_size,
      )
      self.img_size = img_size
      self.patch_size = patch_size
      self.num_patches = num_patches
  
      self.proj = nn.Conv2D(
          in_chans, embed_dim, kernel_size=patch_size, stride=patch_size
      )
  
imports: import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
  from paddle.nn.initializer import Constant
  from ppdet.modeling.shape_spec import ShapeSpec
  from ppdet.core.workspace import register, serializable
  from .transformer_utils import zeros_, DropPath, Identity
label_desc: Use image node_id 1 to create a new PatchEmbed object from inherited base classes: nn with example: obj = PatchEmbed(img_size, patch_size, in_chans, embed_dim)