[BUG] multi-dimensional arrays are being accepted as inputs to column constructor

[galipremsagar]

Describe the bug
A multi-dimensional array is being accepted as inputs to a column constructor if it has a __cuda_array_interface__ implemented.

Steps/Code to reproduce bug

In [25]: import numpy as np

In [26]: import cudf

In [27]: arr = np.array([(1, 2), (3, 4)])

In [28]: import pandas as pd

In [29]: pd.Series(arr)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[29], line 1
----> 1 pd.Series(arr)

File /nvme/0/pgali/envs/cudfdev/lib/python3.10/site-packages/pandas/core/series.py:470, in Series.__init__(self, data, index, dtype, name, copy, fastpath)
    468         data = data.copy()
    469 else:
--> 470     data = sanitize_array(data, index, dtype, copy)
    472     manager = get_option("mode.data_manager")
    473     if manager == "block":

File /nvme/0/pgali/envs/cudfdev/lib/python3.10/site-packages/pandas/core/construction.py:647, in sanitize_array(data, index, dtype, copy, raise_cast_failure, allow_2d)
    644             subarr = cast(np.ndarray, subarr)
    645             subarr = maybe_infer_to_datetimelike(subarr)
--> 647 subarr = _sanitize_ndim(subarr, data, dtype, index, allow_2d=allow_2d)
    649 if isinstance(subarr, np.ndarray):
    650     # at this point we should have dtype be None or subarr.dtype == dtype
    651     dtype = cast(np.dtype, dtype)

File /nvme/0/pgali/envs/cudfdev/lib/python3.10/site-packages/pandas/core/construction.py:698, in _sanitize_ndim(result, data, dtype, index, allow_2d)
    696     if allow_2d:
    697         return result
--> 698     raise ValueError("Data must be 1-dimensional")
    699 if is_object_dtype(dtype) and isinstance(dtype, ExtensionDtype):
    700     # i.e. PandasDtype("O")
    702     result = com.asarray_tuplesafe(data, dtype=np.dtype("object"))

ValueError: Data must be 1-dimensional

In [30]: cudf.Series(arr)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[30], line 1
----> 1 cudf.Series(arr)

File /nvme/0/pgali/envs/cudfdev/lib/python3.10/site-packages/nvtx/nvtx.py:101, in annotate.__call__.<locals>.inner(*args, **kwargs)
     98 @wraps(func)
     99 def inner(*args, **kwargs):
    100     libnvtx_push_range(self.attributes, self.domain.handle)
--> 101     result = func(*args, **kwargs)
    102     libnvtx_pop_range(self.domain.handle)
    103     return result

File /nvme/0/pgali/envs/cudfdev/lib/python3.10/site-packages/cudf/core/series.py:602, in Series.__init__(self, data, index, dtype, name, copy, nan_as_null)
    584 if not isinstance(data, ColumnBase):
    585     # Using `getattr_static` to check if
    586     # `data` is on device memory and perform
   (...)
    592     # be expensive or mark a buffer as
    593     # unspillable.
    594     has_cai = (
    595         type(
    596             inspect.getattr_static(
   (...)
    600         is property
    601     )
--> 602     data = column.as_column(
    603         data,
    604         nan_as_null=nan_as_null,
    605         dtype=dtype,
    606         length=len(index) if index is not None else None,
    607     )
    608     if copy and has_cai:
    609         data = data.copy(deep=True)

File /nvme/0/pgali/envs/cudfdev/lib/python3.10/site-packages/cudf/core/column/column.py:2115, in as_column(arbitrary, nan_as_null, dtype, length)
   2113 # CUDF assumes values are always contiguous
   2114 if len(shape) > 1:
-> 2115     raise ValueError("Data must be 1-dimensional")
   2117 arbitrary = np.asarray(arbitrary)
   2119 # Handle case that `arbitrary` elements are cupy arrays

ValueError: Data must be 1-dimensional

In [31]: cp.array(arr)
Out[31]: 
array([[1, 2],
       [3, 4]])

In [32]: cudf.Series(cp.array(arr))
Out[32]: 
0    1
1    2
2    3
3    4
dtype: int64

In [33]: cp.array(arr).shape
Out[33]: (2, 2)

Expected behavior
Raise an error

Environment overview (please complete the following information)

• Environment location: [Bare-metal]
• Method of cuDF install: [from source]