Pytorch 1.7 - Python

PyTorch 1.7 is the latest version of the popular open-source machine learning framework PyTorch. It is a Python-based scientific computing package that provides two high-level features:

1. A replacement for NumPy to use the power of GPUs
2. Deep neural networks built on a tape-based autograd system

With PyTorch 1.7, developers can build deep learning models in Python and execute them efficiently on GPUs. PyTorch 1.7 introduces several new features, including support for CUDA 11, and improvements to distributed training and mobile deployment.

Key Features

TorchScript

TorchScript is a way to create serializable and optimizable models from PyTorch code. It allows you to run your PyTorch models without a Python interpreter, making them faster and more portable. With PyTorch 1.7, you can now use TorchScript to deploy models to the web, mobile devices, and other platforms.

Distributed Training

PyTorch 1.7 introduces several improvements to distributed training, including better support for one-sided communication and more efficient communication algorithms. With the new features in PyTorch 1.7, developers can train deep learning models on multiple GPUs or even across multiple machines.

Mobile Deployment

PyTorch 1.7 introduces support for three new mobile deployment options: PyTorch Mobile, PyTorch Android, and PyTorch iOS. With these tools, developers can deploy deep learning models on mobile devices and integrate them with their mobile apps.

Other Features

PyTorch 1.7 also introduces several other new features, including:

• Improved performance for batched matrix multiplication on GPUs
• Support for Python 3.9
• Gradient checkpointing to reduce memory usage

Getting Started with PyTorch 1.7

To get started with PyTorch 1.7, you'll need to install it using pip:

pip install torch torchvision

Once PyTorch is installed, you can import it into your Python scripts and start building deep learning models:

import torch

# Create a tensor
x = torch.tensor([[1, 2, 3], [4, 5, 6]])

# Compute the sum of a tensor
y = torch.sum(x)

print(y)

For more information on how to get started with PyTorch 1.7, check out the official PyTorch documentation.