code: def execute(cls, ctx, op):
      (a,), device_id, xp = as_same_device(
          [ctx[c.key] for c in op.inputs],
          device=op.device,
          ret_extra=True,
      )
  
      with device(device_id):
          u, s, v = xp.linalg.svd(a, full_matrices=False)
          uc, sc, vc = op.outputs
          ctx[uc.key] = u
          ctx[sc.key] = s
          ctx[vc.key] = v
  
imports: import numpy
  from numpy.linalg import LinAlgError
  from ...None import opcodes
  from ...serialization.serializables import KeyField, StringField
  from ...core import ExecutableTuple
  from ..array_utils import as_same_device, device
  from ..datasource import tensor
  from ..operands import TensorHasInput, TensorOperandMixin
  from ..core import TensorOrder
  from .core import TSQR
  from .utils import calc_svd_shapes
label_desc: Use image node_id 8 for calling the TensorSVD obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types