PYTORCH in English translation

• pytorch

Examples of using Pytorch in Chinese and their translations into English

至于PyTorch资源，我们推荐官方教程，提供了稍微更有挑战性的综合方法来学习神经网络的内在工作原理。
For PyTorch resources, we recommend the official tutorials, which offer a slightly more challenging, comprehensive approach to learning the inner-workings of neural networks.

Pytorch是一个基于Python的开源科学计算软件包，可用于在大型的数据集上实施深度学习技术和神经网络。
Pytorch is an open-source, Python-based scientific computing package that is used to implement Deep Learning techniques and Neural Networks on large datasets.

PyTorch改进了Torch的架构风格，并且没有任何对容器的支持-这使整个深度建模过程更容易和透明。
PyTorch improves upon Torch's architectural style and does not have any support for containers which makes the entire deep modeling process easier and transparent.

启用GPU加速在Keras中隐式处理，而PyTorch要求我们指定何时在CPU和GPU之间传输数据。
Enabling GPU acceleration is handled implicitly in Keras, while PyTorch requires us to specify when to transfer data between the CPU and GPU.

为了帮助加速和优化这个过程，我们引入了PyTorch1.0，这是我们开源AI框架的下一个版本。
To help accelerate and optimize this process, we're introducing PyTorch 1.0, the next version of our open source AI framework.

PyTorch现在是GitHub上增长速度第二快的开源项目，在过去的12个月里，贡献者增加了2.8倍。
PyTorch is now the second-fastest-growing open source project on GitHub, with a 2.8x increase in contributors over the past 12 months.

Caffe2，PyTorch（Facebook的两个项目）和CognitiveToolkit（微软的项目）将在9月份的某个时候提供支持。
Caffe2, PyTorch(both Facebook's projects), and Cognitive Toolkit(Microsoft's project) will provide support sometime in September.

有了ONNX，开发人员可以在不同框架之间共享模型，例如，导出在PyTorch中构建的模型，并将它们导入到Caffe2中。
With ONNX, developers can share models among different frameworks, for example, by exporting models built in PyTorch and importing them to Caffe2.

熟悉深度学习框架/库；在我开始学的时候，是Theano和Torch，现在可能是PyTorch、TensorFlow和Keras。
Get familiar with DL frameworks/libraries(in my time, it was Theano and Torch, now it's probably PyTorch, TensorFlow, and Keras).

如果你是学者或工程师，想要简单易学的软件包来完成这两件事，PyTorch是适合你的选择。
If you're an academic or an engineer who wants an easy-to-learn package to perform these two things, PyTorch is for you.

Glow是Pytorch1.0的一个组成部分，后者是一个开源项目集，包括合并的Caffe2和Pytorch框架。
Glow is a single component of Pytorch 1.0, a collection of open-source projects that includes merged Caffe2 and Pytorch frameworks.

通过使用ONNX，Facebook可以导出使用PyTorch创建的训练模型，并使用Caffe2进行推理。
Using ONNX, it's possible for Facebook to export a trained model created with PyTorch and use it with Caffe2 for inference.

虽然这种技术并不是PyTorch所特有的，但它是迄今为止最快的实现之一。
While this technique is not unique to PyTorch, it's one of the fastest implementations of it to date.

有趣的是，很可能选择Pytorch作为框架在实现库上扮演了重要角色。
Interestingly it is likely that the choice of Pytorch as the framework on which to implement the Fast. ai library has played a big role.

PyTorch网站将该库描述为一个快速灵活实验的深度学习框架。
The PyTorch site describes the library as a profound learning framework for quick and flexible testing.

Ai队（第四名）使用了PyTorch和Keras（较少）的组合。
Ai team(4th place) used a combination of PyTorch and(to a lesser extend) Keras.

Backward()，一个内置于PyTorch中的函数，它可以从图中的任何一点执行反向传播。
Backward(), a function built into PyTorch that performs backpropagation from any point in a graph.

PyTorch网站将该库描述为一个快速灵活实验的深度学习框架。
The PyTorch site describes the library as a deep learning framework for fast and flexible experimentation.

我们很幸运，因为像Pytorch团队这样的积极力量正在构建创造性从业者们最需要的快速迭代与实验工具。
We're lucky that there folks like the Pytorch team that are building the tools that creative practitioners need to rapidly iterate and experiment.

PyTorch3d通过PyTorch为3D计算机视觉研究提供有效，可重复使用的组件.
PyTorch3d provides efficient, reusable components for 3D Computer Vision research with PyTorch.