code: def __init__(
      self,
      fill_value=None,
      dtype=None,
      gpu=None,
      sparse=False,
      order=None,
      **kw,
  ):
      if dtype is not None:
          dtype = np.dtype(dtype)
          if fill_value is not None:
              fill_value = dtype.type(fill_value)
      elif fill_value is not None:
          dtype = np.array(fill_value).dtype
      super().__init__(
          _fill_value=fill_value,
          _order=order,
          dtype=dtype,
          gpu=gpu,
          sparse=sparse,
          **kw,
      )
  
imports: import numpy
  from ...None import opcodes
  from ...serialization.serializables import AnyField, StringField, KeyField
  from ...lib.sparse.core import get_sparse_module, get_array_module, naked
  from ...lib.sparse import SparseNDArray
  from ..array_utils import create_array
  from ..utils import get_order
  from .core import TensorNoInput, TensorLike
  from .array import tensor
label_desc: Use image node_id 1 to create a new TensorFullLike object from inherited base classes: TensorLike with example: obj = TensorFullLike(fill_value, dtype, gpu, sparse, order)