class_docstr: 2D Image to Patch Embedding
class_docstr_tok: ["2D","Image","to","Patch","Embedding"]
code: def __init__(self, img_size=224, patch_size=16, embed_dim=768):
      super(PatchEmbed, self).__init__()
      self.embed_dim = embed_dim
      self.img_size = (img_size, img_size)
      self.grid_size = (img_size // patch_size, img_size // patch_size)
      self.num_patches = self.grid_size[0] * self.grid_size[1]
  
      self.proj = layers.Conv2D(
          filters=embed_dim,
          kernel_size=patch_size,
          strides=patch_size,
          padding="SAME",
          kernel_initializer=initializers.LecunNormal(),
          bias_initializer=initializers.Zeros(),
      )
  
imports: import tensorflow
  from tensorflow.keras import Model, layers, initializers
  import numpy
label_desc: Use image node_id 1 to create a new PatchEmbed object from inherited base classes: layers with example: obj = PatchEmbed(img_size, patch_size, embed_dim)