“PyTorch 1.6.0 Release Notes”

PyTorch

misshiki のブックマーク 2020/07/29 17:44

<blockquote class="hatena-bookmark-comment"><a class="comment-info" href="https://b.hatena.ne.jp/entry/4689183927298034530/comment/misshiki" data-user-id="misshiki" data-entry-url="https://b.hatena.ne.jp/entry/s/github.com/pytorch/pytorch/releases/tag/v1.6.0" data-original-href="https://github.com/pytorch/pytorch/releases/tag/v1.6.0" data-entry-favicon="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fgithub.com%2Fpytorch%2Fpytorch%2Freleases%2Ftag%2Fv1.6.0" data-user-icon="/users/misshiki/profile.png">Release Stable release of automatic mixed precision (AMP). New Beta features include a TensorPipe backend for RPC, memory profiler, and several improvements to distributed training for both RPC and DDP. · pytorch/pytorch</a><ul class="comment-tag" style="list-style: none; margin: 0px;"><li style="float: left">[<a href="https://b.hatena.ne.jp/q/PyTorch">PyTorch</a>]</li></ul><br><p style="clear: left">“PyTorch 1.6.0 Release Notes”</p><a class="datetime" href="https://b.hatena.ne.jp/misshiki/20200729#bookmark-4689183927298034530"><span class="datetime-body">2020/07/29 17:44</span></a></blockquote><script src="https://b.st-hatena.com/js/comment-widget.js" charset="utf-8" async></script>

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Release Stable release of automatic mixed precision (AMP). New Beta features include a TensorPipe backend for RPC, memory profiler, and several improvements to distributed training for both RPC and DDP. · pytorch/pytorch

github.com/pytorch2020/07/29

PyTorch 1.6.0 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug Fixes Performance Documentation Highlights The PyTorch 1.6 release includes a number...

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Release Stable release of automatic mixed precision (AMP). New Beta features include a TensorPipe backend for RPC, memory profiler, and several improvements to distributed training for both RPC and DDP. · pytorch/pytorch

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