python-pytorchHow can I use the @ operator in Python with PyTorch?

The @ operator is a shorthand notation for the torch.matmul function in PyTorch. It performs matrix multiplication of two tensors and returns the result as a single tensor.

To use the @ operator in Python with PyTorch, we need to first create two tensors. For example:

import torch

tensor_a = torch.tensor([[1,2], [3,4]])
tensor_b = torch.tensor([[5,6], [7,8]])

Then, we can use the @ operator to perform matrix multiplication between the two tensors:

matmul_result = tensor_a @ tensor_b

print(matmul_result)

Output example

tensor([[19, 22],
        [43, 50]])

The @ operator is equivalent to the following code:

matmul_result = torch.matmul(tensor_a, tensor_b)

print(matmul_result)

The output will be the same.

The @ operator is a convenient shorthand notation for the torch.matmul function in PyTorch. It can be used to perform matrix multiplication of two tensors and returns the result as a single tensor.

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