From e0bd1423b526ca30c11368d647b098d39ca4f979 Mon Sep 17 00:00:00 2001 From: Vinh Nguyen Date: Mon, 14 Oct 2019 12:34:29 +0000 Subject: [PATCH] adding automatic mixed precision training support --- util/flags.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/util/flags.py b/util/flags.py index 80251cb0..2e585a7c 100644 --- a/util/flags.py +++ b/util/flags.py @@ -80,6 +80,8 @@ def create_flags(): f.DEFINE_boolean('use_cudnn_rnn', False, 'use CuDNN RNN backend for training on GPU. Note that checkpoints created with this flag can only be used with CuDNN RNN, i.e. fine tuning on a CPU device will not work') f.DEFINE_string('cudnn_checkpoint', '', 'path to a checkpoint created using --use_cudnn_rnn. Specifying this flag allows one to convert a CuDNN RNN checkpoint to a checkpoint capable of running on a CPU graph.') + f.DEFINE_boolean('automatic_mixed_precision', False, 'whether to allow automatic mixed precision training') + # Sample limits f.DEFINE_integer('limit_train', 0, 'maximum number of elements to use from train set - 0 means no limit')