code: def _check_inputs(self, x1, x2):
      if isinstance(x1, TENSOR_TYPE) or isinstance(x2, TENSOR_TYPE):
          tensor, other = (
              (x1, x2) if isinstance(x1, TENSOR_TYPE) else (x2, x1)
          )
          if isinstance(other, DATAFRAME_TYPE):
              if self.axis == "index" or self.axis == 0:
                  other_shape = tuple(reversed(other.shape))
              else:
                  other_shape = other.shape
              if tensor.ndim == 2 and tensor.shape != other_shape:
                  raise ValueError(
                      f"Unable to coerce to DataFrame, shape must be {other_shape}: "
                      f"given {tensor.shape}"
                  )
              elif (
                  tensor.ndim == 1 and tensor.shape[0] != other_shape[1]
              ):
                  raise ValueError(
                      f"Unable to coerce to Series, length must be {other_shape[1]}: "
                      f"given {tensor.shape[0]}"
                  )
              elif tensor.ndim > 2:
                  raise ValueError(
                      "Unable to coerce to Series/DataFrame, dim must be <= 2"
                  )
          if isinstance(other, SERIES_TYPE):
              if tensor.ndim == 1 and (
                  tensor.shape[0] != other.shape[0]
              ):
                  raise ValueError(
                      f"Unable to coerce to Series, length must be {other.shape[0]}: "
                      f"given {tensor.shape[0]}"
                  )
              elif tensor.ndim > 1:
                  raise ValueError(
                      "Unable to coerce to Series, dim must be 1"
                  )
  
imports: import itertools
  import copy
  from functools import reduce
  import numpy
  import pandas
  from ...core import ENTITY_TYPE, CHUNK_TYPE, recursive_tile
  from ...serialization.serializables import AnyField
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE, ChunkData, Chunk
  from ...utils import classproperty, get_dtype
  from ..align import align_series_series, align_dataframe_series, align_dataframe_dataframe
  from ..core import DATAFRAME_TYPE, SERIES_TYPE, DATAFRAME_CHUNK_TYPE, SERIES_CHUNK_TYPE, is_chunk_meta_lazy
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..ufunc.tensor import TensorUfuncMixin
  from ..utils import parse_index, infer_dtypes, infer_dtype, infer_index_value, build_empty_df
label_desc: Use image node_id 12 for calling the DataFrameBinOpMixin obj's underlying member method code with example usage: obj._check_inputs(x1, x2) without return types