From 6104ba74a94208e7adeed51ba1595db370b7834d Mon Sep 17 00:00:00 2001 From: William Falcon Date: Sat, 31 Aug 2019 02:19:30 -0500 Subject: [PATCH] Deployed 622a773 with MkDocs version: 1.0.4 --- 404.html | 12 + .../RequiredTrainerInterface/index.html | 12 + LightningModule/methods/index.html | 12 + LightningModule/properties/index.html | 12 + Trainer/Checkpointing/index.html | 12 + Trainer/Distributed training/index.html | 12 + Trainer/Logging/index.html | 12 + Trainer/SLURM Managed Cluster/index.html | 16 +- Trainer/Testing loop/index.html | 667 ++++++++++++++++++ Trainer/Training Loop/index.html | 16 +- Trainer/Validation loop/index.html | 12 + Trainer/debugging/index.html | 12 + Trainer/hooks/index.html | 12 + Trainer/index.html | 14 + examples/Examples/index.html | 12 + index.html | 30 + search/search_index.json | 2 +- sitemap.xml | 5 + sitemap.xml.gz | Bin 205 -> 205 bytes 19 files changed, 877 insertions(+), 5 deletions(-) create mode 100644 Trainer/Testing loop/index.html diff --git a/404.html b/404.html index 3e6644c1..1af5cb9f 100644 --- a/404.html +++ b/404.html @@ -362,6 +362,18 @@ +
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  • Training Loop @@ -725,13 +737,13 @@ With this feature lightning will:

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    Testing loop

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    To ensure you don't accidentally use test data to guide training decisions Lightning makes running the test set deliberate.

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    test

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    You have two options to run the test set. +First case is where you test right after a full training routine.

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    # run full training
+trainer.fit(model)
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+trainer.test()
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    Second case is where you load a model and run the test set

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    model = MyLightningModule.load_from_metrics(
+    weights_path='/path/to/pytorch_checkpoint.ckpt',
+    tags_csv='/path/to/test_tube/experiment/version/meta_tags.csv',
+    on_gpu=True,
+    map_location=None
+)
+
+# init trainer with whatever options
+trainer = Trainer(...)
+
+# test (pass in the model)
+trainer.test(model)
+
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    In this second case, the options you pass to trainer will be used when running the test set (ie: 16-bit, dp, ddp, etc...)

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