# Indexing 3-dim tensor with 1d tensor

Hi all:
Suppose I have a 3D tensor: x , shaped 2 x 247 x 4 and a 1D index tensor of length 2: y = [a, b], whose length corresponds to the size of the 1st dimension of the 3D tensor. What I want to do is index out x[0, a, :] and x[1, b, :], and have my output be shape 2 x 4, how would I do that? And of course in general, I want this to apply to 3D tensor of shape batch_size x 247 x 4, and my 1D index of length = batch_size. Please share your thoughts! Thank you!

Example:

I don’t quite understand your use case.
Let’s assume you have a tensor `x = torch.randn(2, 247, 4)`.
Now you would like to create an index tensor `y` containing two values? What do you mean by “whole length corresponds to the size of the 1st dim”?
Do you have two values in `y` or is it of shape `[2, 247]`?

If you have two values and index `x` with `y`, you would get a tensor of shape `[2, 2, 4]`.

Could you share some pseudo code so that I could have a look and understand the use case a bit better?

Thanks for the reply! Sorry I don’t know if I can format and include code directly into my post, but I added an example using screenshot.