class_docstr: Keras layer for upsampling a Tensor to be the same shape as another Tensor.
class_docstr_tok: ["Keras","layer","for","upsampling","a","Tensor","to","be","the","same","shape","as","another","Tensor","."]
code: def call(self, inputs, **kwargs):
      source, target = inputs
      target_shape = keras.backend.shape(target)
      if keras.backend.image_data_format() == "channels_first":
          raise NotImplementedError
      else:
          # pylint: disable=no-member
          return tf.compat.v1.image.resize_bilinear(
              source,
              size=(target_shape[1], target_shape[2]),
              half_pixel_centers=True,
          )
  
imports: import typing
  import cv2
  import numpy
  import tensorflow
  import efficientnet.tfkeras
  from tensorflow import keras
  from .None import tools
label_desc: Use image node_id 1 for calling the UpsampleLike obj's underlying member method code with example usage: obj.call(inputs) and returns: tf