code: def __call__(self, a):
      if not np.isnan(a.size):
          return ExecutableTuple([astensor(s) for s in a.shape])
  
      self._a = a
      kws = []
      for i in range(self.output_limit):
          kws.append(
              {
                  "shape": (),
                  "dtype": np.dtype(np.intc),
                  "order": TensorOrder.C_ORDER,
                  "i": i,
              }
          )
      return ExecutableTuple(self.new_tensors([a], kws=kws))
  
file_path: mars/mars/tensor/base/shape.py
imports: import numpy
  from ...None import opcodes
  from ...core import ExecutableTuple
  from ...serialization.serializables import KeyField, Int32Field
  from ...utils import calc_nsplits
  from ..core import TensorOrder
  from ..datasource import tensor
  from ..operands import TensorOperand, TensorOperandMixin
label_desc: Use image node_id 6 for calling the TensorGetShape obj's underlying member method code with example usage: obj.__call__(a) and returns: ExecutableTuple, ExecutableTuple