torch.Tensor

torch.Tensor is a multi-dimensional array used in PyTorch, a popular open-source machine learning framework. It is similar to the numpy array, but with additional support for GPU acceleration and automatic differentiation.

The torch.Tensor object can be created using a list or a numpy array and can be manipulated using various operations such as addition, subtraction, multiplication, and division. Additionally, it can be indexed and sliced just like a numpy array.

The tensor can also be moved to a GPU device using the `.to()` method, which allows for faster computation. The tensor can be converted to a numpy array using the `.numpy()` method.

Overall, torch.Tensor is a fundamental data structure in PyTorch and is used extensively in deep learning for storing and manipulating data.