import torch
时间: 2023-11-13 12:05:32 浏览: 39
As an AI language model, I don't have access to a PyTorch installation. However, here's some information about the `torch` module in PyTorch:
`torch` is the main module in PyTorch that provides multi-dimensional arrays, mathematical operations, and other utilities for deep learning. It's similar to `numpy` but with added functionality for GPU acceleration and automatic differentiation.
Here are some common functionalities of the `torch` module:
1. Creating and manipulating tensors: Tensors are multi-dimensional arrays that can be used to represent data in PyTorch. The `torch.Tensor` class is used to create and manipulate tensors.
2. Mathematical operations: The `torch` module provides a wide range of mathematical operations like addition, subtraction, multiplication, division, matrix multiplication, etc. that can be performed on tensors.
3. GPU acceleration: PyTorch can use GPUs to accelerate computations. The `torch.cuda` module provides methods to move tensors to and from the GPU and perform computations on the GPU.
4. Automatic differentiation: PyTorch supports automatic differentiation, which is a technique for computing gradients of functions. The `torch.autograd` module provides classes and functions for computing gradients.
Overall, the `torch` module is a core component of PyTorch and provides many useful functionalities for deep learning.