From ae2d3754e6d037b726319c2a8a3cd2198e03abe0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=C5=81ukasz=20Wa=C5=82ejko?=
 <8046504+lwalejko@users.noreply.github.com>
Date: Thu, 30 Apr 2020 15:24:15 +0200
Subject: [PATCH] Update TRAINING.rst

---
 doc/TRAINING.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/TRAINING.rst b/doc/TRAINING.rst
index c3d8f98a..20b7245a 100644
--- a/doc/TRAINING.rst
+++ b/doc/TRAINING.rst
@@ -226,7 +226,7 @@ For example, if you want to fine tune the entire graph using your own data in ``
    mkdir fine_tuning_checkpoints
    python3 DeepSpeech.py --n_hidden 2048 --checkpoint_dir path/to/checkpoint/folder --epochs 3 --train_files my-train.csv --dev_files my-dev.csv --test_files my_dev.csv --learning_rate 0.0001
 
-Note: the released models were trained with ``--n_hidden 2048``\ , so you need to use that same value when initializing from the release models. Since v0.6.0, the release models are also trained with ``--train_cudnn``\ , so you'll need to specify that as well. If you don't have a CUDA compatible GPU, then you can workaround it by using the ``--load_cudnn`` flag. Use ``--helpfull`` to get more information on how the flags work. If you try to load a release model without following these steps, you'll get an error similar to this:
+Note: the released models were trained with ``--n_hidden 2048``\ , so you need to use that same value when initializing from the release models. Since v0.6.0, the release models are also trained with ``--train_cudnn``\ , so you'll need to specify that as well. If you don't have a CUDA compatible GPU, then you can workaround it by using the ``--load_cudnn`` flag. Use ``--helpfull`` to get more information on how the flags work. Also, you cannot use ```automatic_mixed_precision``` when loading released models. If you try to load a release model without following these steps, you'll get an error similar to this:
 
 .. code-block::