# Warm Up Exercise¶

To get you back into the PyTorch groove, let’s do some easy exercises. You will have 10 minutes. See how far you can get.

- Use
`torch.randn`

to create two tensors of size (29, 30, 32) and and (32, 100). - Use
`torch.matmul`

to matrix multiply the two tensors. - Use
`torch.sum`

on the resulting tensor, passing the optional argument of`dim=1`

to sum across the 1st dimension. Before you run this, can you predict the size? - Create a new long tensor of size (3, 10) from the
`np.random.randint`

method. - Use this new long tensor to index into the tensor from step 3.
- Use
`torch.mean`

to average across the last dimension in the tensor from step 5.