Add TorchScript fork/join tutorial #1021
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Deploy preview for pytorch-tutorials-preview ready! Built with commit 353174f https://deploy-preview-1021--pytorch-tutorials-preview.netlify.app |
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eellison
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Jun 12, 2020
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| return torch.sum(torch.stack(results)) | ||
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| print(example(torch.ones([]))) |
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this is passing in a scalar 1.0 tensor
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| # For a head-to-head comparison to what we're going to do with fork/wait, let's | ||
| # instantiate the model and compile it with TorchScript | ||
| ens = torch.jit.script(LSTMEnsemble(n_models=4)) |
| Aside: Visualizing Parallelism | ||
| ------------------------------ | ||
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| We're not done optimizing our model but it's worth introducing the tooling we |
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I would move this to after the section wherer you improve parallelism further.
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I wanted to put this here because it allows us to see a delta of what happens when we add fork and wait, rather than just seeing one example
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