1.5 site updates #362
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1.5 site updates #362
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Deploy preview for pytorch-dot-org-preview ready! Built with commit ab0028a https://deploy-preview-362--pytorch-dot-org-preview.netlify.app |
cpuhrsch
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Apr 21, 2020
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| Today, we’re announcing the availability of PyTorch 1.5, along with new and updated libraries. This release includes several major new API additions and improvements. PyTorch now includes a significant update to the C++ frontend, ‘channels last’ memory format for computer vision models, and a stable release of the distributed RPC framework used for model-parallel training. The release also has new APIs for autograd for hessians and jacobians, and an API that allows the creation of Custom C++ Classes that was inspired by PyBind. |
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nit: I think it's spelled pybind instead of PyBind.
cpuhrsch
reviewed
Apr 21, 2020
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| ## PyTorch Domain Libraries | ||
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| torchvision, torchtext, and torchaudio complement PyTorch with common datasets, models, and transforms in each domain area. We’re excited to share new releases for all three domain libraries alongside PyTorch 1.5 and the rest of the library updates. For this release, all three domain libraries are removing support for Python2 and will support Python3 only. |
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nit: the enumeration torchvision, torchtext, and torchaudio at the beginning of the paragraph here doesn't match the subsections which enumerate in the order of torchaudio, torchvision, and torchtext.
cpuhrsch
reviewed
Apr 21, 2020
| * Added support for the experimental IMDB dataset to allow a custom vocab. | ||
| * A number of documentation updates including adding a code of conduct and a deduplication of the docs on the torchtext site. | ||
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| Your feedback and discussions on the experimental datasets API are welcomed. You can send them to [issue #664](https://github.com/pytorch/text/issues/664). We would also like to highlight the pull request [here](https://github.com/pytorch/text/pull/701) where the latest dataset abstraction is applied to the text classification datasets. The feedback can be beneficial to finalizing this abstraction. |
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I'd add something along the lines of "Based on user's feedback torchtext's dataset abstractions are currently being redesigned." to the beginning of this line.
…-library.md to 2020-4-21-pytorch-library-updates-new-model-serving-library.md
…d to 2020-4-21-pytorch-1-dot-5-released-with-new-and-updated-apis.md
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