Add link to benchmarks docs (#17239)
* Update benchmarks.rst * small fix
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Benchmark with vanilla PyTorch
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Benchmark performance vs. vanilla PyTorch
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==============================
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=========================================
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In this section we set grounds for comparison between vanilla PyTorch and PT Lightning for most common scenarios.
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In this section we set grounds for comparison between vanilla PyTorch and PT Lightning for most common scenarios.
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@ -17,3 +17,29 @@ In average for simple MNIST CNN classifier we are only about 0.06s slower per ep
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Learn more about reproducible benchmarking from the `PyTorch Reproducibility Guide <https://pytorch.org/docs/stable/notes/randomness.html>`__.
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Learn more about reproducible benchmarking from the `PyTorch Reproducibility Guide <https://pytorch.org/docs/stable/notes/randomness.html>`__.
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----
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Find performance bottlenecks
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=============================
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.. raw:: html
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<div class="display-card-container">
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<div class="row">
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.. Add callout items below this line
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.. displayitem::
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:header: Find bottlenecks in your models
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:description: Benchmark your own Lightning models
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:button_link: ../tuning/profiler.html
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:col_css: col-md-3
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:height: 180
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:tag: basic
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.. raw:: html
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</div>
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</div>
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