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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _resize_image(image, height, width):
 """Simple wrapper around tf.resize_images. This is primarily to make sure we use the same `ResizeMethod` and other details each time. Args: image: A 3-D image `Tensor`. height: The target height for the resized image. width: The target width for the resized image. Returns: resized_image: A 3-D tensor containing the resized image. The first two dimensions have the shape [height, width]. """

  return tf.image.resize_images(
      image, [height, width], method=tf.image.ResizeMethod.BILINEAR,
      align_corners=False)