This article will illustrate different methods to perform matrix multiplication in PyTorch.

**How to Perform Matrix Multiplication in PyTorch?**

To multiply matrices in PyTorch, different methods are used:

- Method 1: Using “torch.matmul()” Method
- Method 2: Using “torch.mm()” Method
- Method 3: Using “@” Operator

However, users need to follow the provided steps first to use these methods:

**Step 1: Import PyTorch Library**

First, import the “**torch**” library to perform the matrix multiplication:

**Step 2: Create Matrices(Tensors)**

Then, create two desired matrices and print their elements. Here, we are creating “**M1**” and “**M2**” matrices (tensors) from the list using the “**torch.tensor()**” function:

M2 = torch.tensor([[4, 8],[5, 0],[6, 11]])

print(M1)

print(M2)

This has created two matrices as seen below:

Now, we will use different methods to multiply these matrices.

**Method 1: Multiply Matrices Using “torch.matmul()” Method**

The “**torch.matmul()**” method can handle both 2D and higher-dimensional tensors. To multiply matrices, use the “torch.matmul()” method and provide desired tensors as a parameter. Here, we are multiplying “**M1**” and “**M2**” matrices (tensors) and storing their product in the “**prod**” variable:

print(prod)

In the below output, the product of two matrices can be seen:

**Method 2: Multiply Matrices Using “torch.mm()” Method**

PyTorch provides a “torch.mm()” method that can only handle 2D tensors and performs a simple matrix multiplication. To multiply two matrices using the “torch.mm()” method, pass the desired matrices as parameter:

print(prod)

The below screenshot shows the product of “M1” and “M2” matrices:

**Method 3: Multiply Matrices Using “@” Operator**

Users can also use the “**@**” operator to multiply two matrices. It is a short form of the “torch.matmul()” method:

print(prod)

According to the below output the matrix multiplication has been performed successfully:

We have efficiently explained the methods to perform the matrix multiplication in PyTorch.

**Note**: You can access our Google Colab Notebook at this link.

**Conclusion**

To perform the matrix multiplication in PyTorch, first, import the “**torch**” library and create two desired matrices (tensors). Then, use the “**torch.matmul()**” or “**torch.mm()**” method or “**@**” operator to multiply two matrices and display the results. This article has illustrated different methods to perform matrix multiplication in PyTorch.