[Documentation] Adding random_split example to tutorial #843
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ghstack-source-id: 60a9ec958d03ca4d355b4e98744398f31879eb5d Pull Request resolved: #843
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Summary: Pull Request resolved: pytorch#843 `random_split` is one of the most commonly used functionality. It will useful to include that in the tutorial such that users don't try to use `torch.utils.data.random_split` with `IterDataPipe`. Test Plan: Imported from OSS Reviewed By: ejguan Differential Revision: D40532302 Pulled By: NivekT fbshipit-source-id: a9bcd9a000eaa62e0a624d27febf5081ba0d0e33
ejguan
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Summary: Pull Request resolved: #843 `random_split` is one of the most commonly used functionality. It will useful to include that in the tutorial such that users don't try to use `torch.utils.data.random_split` with `IterDataPipe`. Test Plan: Imported from OSS Reviewed By: ejguan Differential Revision: D40532302 Pulled By: NivekT fbshipit-source-id: a9bcd9a000eaa62e0a624d27febf5081ba0d0e33
ejguan
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Summary: Pull Request resolved: pytorch#843 `random_split` is one of the most commonly used functionality. It will useful to include that in the tutorial such that users don't try to use `torch.utils.data.random_split` with `IterDataPipe`. Test Plan: Imported from OSS Reviewed By: ejguan Differential Revision: D40532302 Pulled By: NivekT fbshipit-source-id: a9bcd9a000eaa62e0a624d27febf5081ba0d0e33
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Stack from ghstack:
random_splitis one of the most commonly used functionality. It will useful to include that in the tutorial such that users don't try to usetorch.utils.data.random_splitwithIterDataPipe.Differential Revision: D40532302