code: def __call__(self, a):
      shape = tuple(
          s if np.isnan(s) else int(s)
          for s in _reorder(a.shape, self._axes)
      )
      if self._axes == list(reversed(range(a.ndim))):
          # order reversed
          tensor_order = reverse_order(a.order)
      else:
          tensor_order = TensorOrder.C_ORDER
      return self.new_tensor([a], shape, order=tensor_order)
  
imports: import numpy
  from ...None import opcodes
  from ...serialization.serializables import FieldTypes, KeyField, ListField
  from ..operands import TensorHasInput, TensorOperandMixin
  from ..datasource import tensor
  from ..array_utils import as_same_device, device
  from ..utils import reverse_order
  from ..core import TensorOrder
label_desc: Use image node_id 3 for calling the TensorTranspose obj's underlying member method code with example usage: obj.__call__(a) and returns: self