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William Falcon
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dtype
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</a>
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<li class="md-nav__item">
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<a href="#experiment" title="experiment" class="md-nav__link">
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experiment
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</li>
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<li class="md-nav__item">
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<a href="#trainer" title="Trainer" class="md-nav__link">
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Trainer
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<a href="#trainer" title="trainer" class="md-nav__link">
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trainer
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dtype
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<li class="md-nav__item">
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<a href="#experiment" title="experiment" class="md-nav__link">
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experiment
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</li>
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<li class="md-nav__item">
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<a href="#trainer" title="Trainer" class="md-nav__link">
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Trainer
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<a href="#trainer" title="trainer" class="md-nav__link">
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trainer
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</a>
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<hr />
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<h4 id="dtype">dtype</h4>
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<p>Current dtype </p>
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<hr />
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<h4 id="experiment">experiment</h4>
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<p>An instance of test-tube Experiment which you can use to log anything for tensorboarX. </p>
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<pre><code class="python">self.experiment.add_embedding(...)
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self.experiment.log({'val_loss': 0.9})
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self.experiment.add_scalars(...)
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</code></pre>
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<hr />
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<h4 id="global_step">global_step</h4>
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<p>Total training batches seen across all epochs </p>
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<h4 id="on_gpu">on_gpu</h4>
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<p>True if your model is currently running on GPUs. Useful to set flags around the LightningModule for different CPU vs GPU behavior. </p>
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<hr />
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<h4 id="trainer">Trainer</h4>
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<h4 id="trainer">trainer</h4>
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<p>Last resort access to any state the trainer has. Changing certain properties here could affect your training run.</p>
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<pre><code class="python">self.trainer.optimizers
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self.trainer.current_epoch
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...
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</code></pre>
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