Hello,

I’m trying to map the values of a 1D Long CUDA tensor to the values given by a dictionary. For instance:

```
x = torch.tensor([3, 4, 2, 1, 3, 4]).to('cuda')
d = {'0':25, '1':4, '2':65, '3':33, '4':17}
y = dictionary_mapping_fn(x, d)
```

Then `y`

should be:

```
>>> y
tensor([33, 17, 65, 4, 33, 17])
```

If it helps, the dictionary contains keys for all elements in between 0 and the maximum value in `x`

. Also, the mapping does not need to be necessarily expressed as a dictionary but it can be given as a pair of 1D tensors (or even a single tensors with the values of the dictionary as we know they keys are just a range).

A similar question was asked in here with no solution available.