code: def __call__(self, a, choices, out=None):
      if out is not None and not isinstance(out, Tensor):
          raise TypeError(
              f"out should be Tensor object, got {type(out)} instead"
          )
  
      inputs = [a] + choices
      shape = broadcast_shape(a.shape, *[c.shape for c in choices])
      order = TensorOrder.C_ORDER if out is None else out.order
      t = self.new_tensor(inputs, shape, order=order)
  
      if out is None:
          return t
  
      check_out_param(out, t, "unsafe")
      out_shape, out_dtype = out.shape, out.dtype
      # if `out` is specified, use out's dtype and shape
      if out_shape != t.shape:
          raise ValueError(
              f"output shape should be {t.shape}, got {out_shape}"
          )
      setattr(self, "dtype", out_dtype)
      out.data = t.data
      return out
  
imports: import numpy
  from ...None import opcodes
  from ...serialization.serializables import FieldTypes, KeyField, ListField, StringField
  from ..utils import broadcast_shape, check_out_param
  from ..operands import TensorOperand, TensorOperandMixin
  from ..datasource import tensor
  from ..core import Tensor, TensorOrder
  from ..array_utils import as_same_device, device
label_desc: Use image node_id 7 for calling the TensorChoose obj's underlying member method code with example usage: obj.__call__(a, choices, out) and returns: out, t