For arr[i][j] = 1 just do `relay.ones` instead of `relay.zeros`
For arr[i][j] += 1 use `scatter_add`. Scatter_add: ``` output[indices[i][j]][j] += updates[i][j] if axis = 0, output[i][indices[i][j]] += updates[i][j] if axis = 1, ``` If scatter_add is insufficient, then you will need to use scatter_nd with 'add' mode. The scatter_nd is pretty complicated but a few examples and you should know what is going on. It is pretty standard operator in Deep Learning. Here is an example: https://github.com/onnx/onnx/blob/master/docs/Operators.md#scatternd --- [Visit Topic](https://discuss.tvm.apache.org/t/relay-what-does-relay-take-mean-is-it-a-copy-or-a-reference/11437/6) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/4891c6aaf5d8c3b6250e5dda8882a119cd2d2e3666081424f2baaf50190c64e7).
