Hi there,

I got a problem when I’m trying to convert a SciPy sparse matrix to torch form. Here is my code:

when I execute the following code:

```
w_csr = ss.load_npz(f'../data/w_csr.npz')
w_csr_tensor = torch.sparse_csr_tensor(torch.from_numpy(w_csr.indptr),
torch.from_numpy(w_csr.indices),
torch.from_numpy(w_csr.data))
```

where `w_csr`

is a `SciPy`

sparse matrix with shape `6400 x 6400`

, everything work well. However, I need to manipulate the `w_csr`

by doing a matrix multiplication:

```
import scipy.sparse as ss
def re_order_w(w_csr):
n_sample = w_csr.shape[0]
I = ss.eye(n_sample, format='coo')
# for debug, I didn't apply any change on the eye matrix
w = I @ w_csr
return w
```

Then when I try to create the sparse tensor by the same way:

```
w = re_order_w(w_csr)
w_csr_tensor = torch.sparse_csr_tensor(torch.from_numpy(w.indptr),
torch.from_numpy(w.indices),
torch.from_numpy(w.data))
```

The program return following `RunTimeError`

:

```
RuntimeError: `col_indices[..., crow_indices[..., i - 1]:crow_indices[..., i]] for all i = 1, ..., nrows are sorted and distinct along the last dimension values` is not satisfied.
```

Which is weird, since I basically did nothing on the `Scipy`

sparse matrix. Does anyone can explain the reason?

Appreciate any reply.