How to match items in two pytorch tensors
I have two  pytorch tensors have the same number of rows,
  ( tensor1-size  is (6,4) and  tensor2-size  is (6), The first tensor is bounding-box coordinate points, whereas the second tensor is the prediction scores.

tensor1 = 
([[780.8306,  98.1060, 813.8367, 149.8171],
[585.6562, 117.6804, 621.6012, 166.3151],
[ 88.4085, 117.1313, 129.3327, 173.1145],
[223.1263, 239.2682, 255.1892, 270.7897],
[194.4088, 117.9768, 237.3028, 166.1765],
[408.9165, 109.0131, 441.0802, 141.2362]])
tensor2 =
([0.9842, 0.9751, 0.9689, 0.8333, 0.7021, 0.6191])


How could I concatenate  every item in tensor2 with its correspondent row in tensor1)?

I want get predilection-score and the bounding box.
The output to be something like:

prediction  bounding box
0.9842      780.8306,  98.1060, 813.8367, 149.8171
0.9751      585.6562, 117.6804, 621.6012, 166.3151]
0.96898     88.4085, 117.1313, 129.3327, 173.1145
0.8333      223.1263, 239.2682, 255.1892, 270.7897
0.7021      194.4088, 117.9768, 237.3028, 166.1765
0.6191      408.9165, 109.0131, 441.0802, 141.2362


I appreciate If anyone could  help,
Thank you

You can use torch.cat to concatenate the columns. Since cat requires that all tensors have the same number of dimensions you will first need to insert a unitary dimension to tensor2 to make it a (6, 1). This can be done a few ways, but the most clear is probably Tensor.unsqueeze(1) which reshapes the tensor to have a unitary dimension at dimension 1.

tensor21 = torch.cat((tensor2.unsqueeze(1), tensor1), dim=1)

