From 8ad6623ab617b303b34d5aecf0ca28f7a089282f Mon Sep 17 00:00:00 2001 From: William Falcon Date: Fri, 17 Jan 2020 05:03:31 -0500 Subject: [PATCH] flake 8 --- pytorch_lightning/trainer/__init__.py | 1 - pytorch_lightning/trainer/trainer.py | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/pytorch_lightning/trainer/__init__.py b/pytorch_lightning/trainer/__init__.py index e250350d..c18f22b8 100644 --- a/pytorch_lightning/trainer/__init__.py +++ b/pytorch_lightning/trainer/__init__.py @@ -11,7 +11,6 @@ The trainer automates all parts of training except: - which optimizers to use - how to do the computations - The Trainer delegates those calls to your LightningModule which defines how to do those parts. This is the basic use of the trainer: diff --git a/pytorch_lightning/trainer/trainer.py b/pytorch_lightning/trainer/trainer.py index ca380b12..68451f00 100644 --- a/pytorch_lightning/trainer/trainer.py +++ b/pytorch_lightning/trainer/trainer.py @@ -313,6 +313,7 @@ class Trainer(TrainerIOMixin, Example:: # default used by the Trainer trainer = Trainer(row_log_interval=10) + add_row_log_interval (int): .. deprecated:: 0.5.0 Use `row_log_interval` instead. Will remove 0.8.0. @@ -395,7 +396,6 @@ class Trainer(TrainerIOMixin, .. deprecated:: 0.5.0 Use `num_sanity_val_steps` instead. Will remove 0.8.0. - truncated_bptt_steps (int): Truncated back prop breaks performs backprop every k steps of a much longer sequence If this is enabled, your batches will automatically get truncated and the trainer will apply Truncated Backprop to it. Make sure your batches have a sequence