class_docstr: Convolution block with skip connections.
class_docstr_tok: ["Convolution","block","with","skip","connections","."]
code: def __init__(
      self,
      out_dim,
      stride,
      norm_type,
      kernel_regularizer,
      name="SkipConvolution",
  ):
      super(SkipConvolution, self).__init__(name=name)
      self.conv = tf.keras.layers.Conv2D(
          out_dim,
          1,
          kernel_regularizer=kernel_regularizer(),
          use_bias=False,
          strides=stride,
          name="conv",
      )
      self.norm = norm_type()
  
file_path: graphics/tensorflow_graphics/projects/points_to_3Dobjects/networks/custom_blocks.py
imports: import tensorflow
label_desc: Use image node_id 1 to create a new SkipConvolution object from inherited base classes: tf.keras.layers with example: obj = SkipConvolution(out_dim, stride, norm_type, kernel_regularizer, name)