code: def cast(x, dtype):
      """Cast a tensor to the desired dtype.
  
      Args:
          x: A tensor or variable.
          dtype: The target type.
  
      Returns:
          A tensor of the specified `dtype`.
  
      Example:
  
      >>> x = keras.ops.arange(4)
      >>> x = keras.ops.cast(x, dtype="float16")
      """
      dtype = backend.standardize_dtype(dtype)
  
      if any_symbolic_tensors((x,)):
          return Cast(dtype=dtype)(x)
      return backend.core.cast(x, dtype)
  
imports: import numpy
  from keras import backend
  from keras.api_export import keras_export
  from keras.backend import KerasTensor
  from keras.backend import any_symbolic_tensors
  from keras.ops.operation import Operation
  from keras.utils import traceback_utils
label_desc: Use image node_id 10 for calling a global function with example usage: cast(x, dtype) and returns: backend, Cast