from_dlpack on an object not implementing DLPack protocol throws irrelevant error message

### Description

As in the title.

### To Reproduce

```py
>>> import cupy
>>> cupy.from_dlpack(object())
Traceback (most recent call last):
File "", line 1, in
File "cupy/_core/dlpack.pyx", line 344, in cupy._core.dlpack.from_dlpack
File "cupy/_core/dlpack.pyx", line 378, in cupy._core.dlpack.from_dlpack
File "cupy/_core/dlpack.pyx", line 268, in cupy._core.dlpack._dlpack_to_cupy_array
File "cupy/_core/dlpack.pyx", line 174, in cupy._core.dlpack.DLPackMemory.__init__
ValueError: A DLPack tensor object cannot be consumed multiple times
```

An expected behavior would be an exception with a message "object does not appear to implement DLPack protocol" or similar.

### Installation

Conda-Forge (`conda install ...`)

### Environment

```
>>> import cupy; cupy.show_config()
OS : Linux-5.4.0-153-generic-x86_64-with-glibc2.31
Python Version : 3.11.7
CuPy Version : 12.3.0
CuPy Platform : NVIDIA CUDA
NumPy Version : 1.26.2
SciPy Version : None
Cython Build Version : 0.29.36
Cython Runtime Version : None
CUDA Root : /tmp/arrayviews-tests/envs/arrayviews-tests_cupy-numba-cuda_19d0dab9
nvcc PATH : None
CUDA Build Version : 11080
CUDA Driver Version : 12010
CUDA Runtime Version : 11080
cuBLAS Version : (available)
cuFFT Version : 10900
cuRAND Version : 10300
cuSOLVER Version : (11, 4, 1)
cuSPARSE Version : (available)
NVRTC Version : (11, 8)
Thrust Version : 101501
CUB Build Version : 101501
Jitify Build Version : 6fc36c7
cuDNN Build Version : 8800
cuDNN Version : 8907
NCCL Build Version : None
NCCL Runtime Version : None
cuTENSOR Version : None
cuSPARSELt Build Version : None
Device 0 Name : NVIDIA GeForce RTX 2060 SUPER
Device 0 Compute Capability : 75
Device 0 PCI Bus ID : 0000:17:00.0
Device 1 Name : NVIDIA GeForce RTX 2060 SUPER
Device 1 Compute Capability : 75
Device 1 PCI Bus ID : 0000:65:00.0
```

### Additional Information

_No response_

Start with cupy/_core/dlpack.pyx, especially the from_dlpack entry point and the DLPackMemory path shown in the traceback. Reproduce cupy.from_dlpack(object()) and trace why it reaches the multiple-consumption error; done means unsupported objects raise an error stating that they do not appear to implement the DLPack protocol.

Written by the indexing model from the issue text.