Suppose I have a tensor `A = [row, col]`

, for example:

```
tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1]])
```

Now, the values in some of rows of `A`

will be modified to value 0.

I have a index tensor `B`

specifying which column the value should be modified and a *‘indicator’* tensor `C`

indicating which row (the row in `C`

with value 1) should be modified. For example, `C = [[1], [0], [1]]`

and `B = [[1], [7]]`

are saying that the first row and the last row of and the corresponding column 1 and 7 of `A`

will be changed to value 0:

```
tensor([[1, 0, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 0, 1]])
```

How should I do this using pytorch?

Since slicing will yield in-place result, I would prefer inplement it using `scatter`

.