`index_select` allows negative `index` for sparse but not for strided `self`
Labels: module: sparse, triaged, module: advanced indexing

### 🐛 Describe the bug

As per title:

```python
In [1]: import torch

In [2]: t = torch.rand(3, 3, 3)

In [3]: idx = torch.tensor([-2, -2], dtype=torch.long)

In [4]: t.to_sparse().index_select(0, idx)
Out[4]: 
tensor(indices=tensor([[0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1],
                       [0, 0, 0, 1, 1, 1, 2, 2, 2, 0, 0, 0, 1, 1, 1, 2, 2, 2],
                       [0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2]]),
       values=tensor([0.4806, 0.3294, 0.7956, 0.7031, 0.1969, 0.1674, 0.0247,
                      0.7799, 0.7744, 0.4806, 0.3294, 0.7956, 0.7031, 0.1969,
                      0.1674, 0.0247, 0.7799, 0.7744]),
       size=(2, 3, 3), nnz=18, layout=torch.sparse_coo)

In [5]: t.index_select(0, idx)
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
Input In [5], in <cell line: 1>()
----> 1 t.index_select(0, idx)

IndexError: index out of range in self

```

### Versions

```
PyTorch version: 1.12.0a0+git02f4803
Is debug build: False
CUDA used to build PyTorch: 11.2
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.4 LTS (x86_64)
GCC version: (GCC) 10.3.0
Clang version: Could not collect
CMake version: version 3.22.3
Libc version: glibc-2.31

Python version: 3.10.4 | packaged by conda-forge | (main, Mar 24 2022, 17:39:04) [GCC 10.3.0] (64-bit runtime)
Python platform: Linux-5.4.0-104-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 11.4.120
GPU models and configuration: 
GPU 0: NVIDIA GeForce RTX 2060
GPU 1: NVIDIA GeForce RTX 2060

Nvidia driver version: 465.19.01
cuDNN version: Probably one of the following:
/usr/local/cuda-10.1.243/targets/x86_64-linux/lib/libcudnn.so.8
/usr/local/cuda-10.1.243/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
/usr/local/cuda-10.1.243/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
/usr/local/cuda-10.1.243/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
/usr/local/cuda-10.1.243/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
/usr/local/cuda-10.1.243/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
/usr/local/cuda-10.1.243/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
/usr/local/cuda-10.2.89/targets/x86_64-linux/lib/libcudnn.so.8
/usr/local/cuda-10.2.89/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
/usr/local/cuda-10.2.89/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
/usr/local/cuda-10.2.89/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
/usr/local/cuda-10.2.89/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
/usr/local/cuda-10.2.89/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
/usr/local/cuda-10.2.89/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
/usr/local/cuda-11.4.2/targets/x86_64-linux/lib/libcudnn.so.8
/usr/local/cuda-11.4.2/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
/usr/local/cuda-11.4.2/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
/usr/local/cuda-11.4.2/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
/usr/local/cuda-11.4.2/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
/usr/local/cuda-11.4.2/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
/usr/local/cuda-11.4.2/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: False

Versions of relevant libraries:
[pip3] mypy==0.812
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.22.3
[pip3] torch==1.12.0a0+git174f7e4
[conda] magma-cuda112             2.5.2                         1    pytorch
[conda] mkl                       2022.0.1           h8d4b97c_803    conda-forge
[conda] mkl-include               2022.0.1           h8d4b97c_803    conda-forge
[conda] mypy                      0.812              pyhd8ed1ab_0    conda-forge
[conda] mypy-extensions           0.4.3                    pypi_0    pypi
[conda] mypy_extensions           0.4.3           py310hff52083_5    conda-forge
[conda] numpy                     1.22.3                   pypi_0    pypi
[conda] torch                     1.12.0a0+git174f7e4           dev_0    <develop>

```

cc @nikitaved @pearu @cpuhrsch