code: def tile(cls, op):
      U, s, V = op.outputs
      U_dtype, s_dtype, V_dtype = U.dtype, s.dtype, V.dtype
      U_shape, s_shape, V_shape = U.shape, s.shape, V.shape
      in_tensor = op.input
      if in_tensor.chunk_shape == (1, 1):
          in_chunk = in_tensor.chunks[0]
          chunk_op = op.copy().reset_key()
          svd_chunks = chunk_op.new_chunks(
              [in_chunk],
              kws=[
                  {
                      "side": "U",
                      "dtype": U_dtype,
                      "index": in_chunk.index,
                      "shape": U_shape,
                      "order": U.order,
                  },
                  {
                      "side": "s",
                      "dtype": s_dtype,
                      "index": in_chunk.index[1:],
                      "shape": s_shape,
                      "order": s.order,
                  },
                  {
                      "side": "V",
                      "dtype": V_dtype,
                      "index": in_chunk.index,
                      "shape": V_shape,
                      "order": V.order,
                  },
              ],
          )
          U_chunk, s_chunk, V_chunk = svd_chunks
  
          new_op = op.copy()
          kws = [
              {
                  "chunks": [U_chunk],
                  "nsplits": tuple((s,) for s in U_shape),
                  "dtype": U_dtype,
                  "shape": U_shape,
              },
              {
                  "chunks": [s_chunk],
                  "nsplits": tuple((s,) for s in s_shape),
                  "dtype": s_dtype,
                  "shape": s_shape,
              },
              {
                  "chunks": [V_chunk],
                  "nsplits": tuple((s,) for s in V_shape),
                  "dtype": V_dtype,
                  "shape": V_shape,
              },
          ]
          return new_op.new_tensors(op.inputs, kws=kws)
      elif op.method == "tsqr":
          return (yield from TSQR.tile(op))
      else:
          raise NotImplementedError(
              "Only tsqr method supported for now"
          )
  
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 7 for calling the TensorSVD obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op, unknown