Assigning value to Tensor(translate torch expression to Candle)

Hi, how should I translate this expression from Python(torch) to candle:
Both count, mask and result are tensors:
```
mask = (count.squeeze(-1) > 0)
result[mask] = result[mask] / count[mask].repeat(1, C)
```

I tried it this way, but it seems wrong:

```
let mask = count.squeeze(D::Minus1)?.gt(0 as i64)?;
let masked_ans_result = ans_result.i(&mask)?;
let repeated_ans_count = ans_count.i(&mask)?.repeat(&[c])?;
let updated_ans_result = masked_ans_result.div(&repeated_ans_count)?;
ans_result.i(&mask)?.eq( &updated_ans_result)?;
```

No repository file or test is named; the issue only provides Python/PyTorch and Rust/Candle snippets. Start by checking Candle's tensor indexing and assignment APIs, then verify that the translated operation updates the selected result values and preserves the original masking and repeat behavior.

Written by the indexing model from the issue text.