本周，Facebook 的 AI 研究团队发布了一个 Python 工具包，专门针对 GPU 加速的深度神经网络（DNN）编程。它有望辅助、或在一定程度上替代，现有的 ...

添加了对 Python 3.10 的支持 网友评论 PyTorch 1.11 的发布，给用户带来了一些惊喜。 有网友表示，我都转到 JAX 了，这波是要诱惑我回归 PyTorch 啊。

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

PyTorch is a Python-based tensor computing library with high-level support for neural network architectures. It also supports offloading computation to GPUs.

The Anaconda distribution of Python contains a base Python engine plus over 500 add-in packages that have been tested to be compatible with one another. After you have a Python distribution installed, ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business ...

After you have a Python distribution installed, you can install PyTorch in several different ways. I recommend using the pip utility (which is installed as part of Anaconda). Briefly, you download a ...

As PyTorch maintainers point out, the preview gives developers the flexibility to work with multiple frameworks and Python packages that rely on Nvidia CUDA but only support Linux.

PyTorch has its problems. Facebook admits that while PyTorch currently is very flexible, performance at production-scale is a challenge, given its tight coupling to Python.