code: def execute(cls, ctx, op):
      inputs, device_id, xp = as_same_device(
          [ctx[c.key] for c in op.inputs],
          device=op.device,
          ret_extra=True,
      )
      a, choices = inputs[0], inputs[1:]
  
      out = op.outputs[0]
      with device(device_id):
          ctx[out.key] = xp.choose(a, choices, mode=op.mode).astype(
              op.dtype, order=out.order.value, copy=False
          )
  
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 9 for calling the TensorChoose obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types