I am trying to perform matrix multiplication of multiple matrices in PyTorch and was wondering what is the equivalent of `numpy.linalg.multi_dot()` in PyTorch?

If there isn't one, what is the next best way (in terms of speed and memory) I can do this in PyTorch?

Code:

```
import numpy as np
import torch

A = np.random.rand(3, 3)
B = np.random.rand(3, 3)
C = np.random.rand(3, 3)

results = np.linalg.multi_dot(A, B, C)

A_tsr = torch.tensor(A)
B_tsr = torch.tensor(B)
C_tsr = torch.tensor(C)

# What is the PyTorch equivalent of np.linalg.multi_dot()?

```

Many thanks!