From a6a73ef624e94d7ddd649cef501b665cb8e754f5 Mon Sep 17 00:00:00 2001
From: zhengya01 <zhengya01@baidu.com>
Date: Wed, 10 Jul 2019 05:31:50 +0000
Subject: [PATCH] add ce for BERT

---
 BERT/run_classifier.py |  9 +--------
 BERT/utils/cards.py    | 28 ++++++++++++++++++++++++++++
 2 files changed, 29 insertions(+), 8 deletions(-)
 create mode 100644 BERT/utils/cards.py

diff --git a/BERT/run_classifier.py b/BERT/run_classifier.py
index b3969b8..5e724d8 100644
--- a/BERT/run_classifier.py
+++ b/BERT/run_classifier.py
@@ -32,6 +32,7 @@ from model.classifier import create_model
 from optimization import optimization
 from utils.args import ArgumentGroup, print_arguments, check_cuda
 from utils.init import init_pretraining_params, init_checkpoint
+from utils.cards import get_cards
 import dist_utils
 
 num_trainers = int(os.environ.get('PADDLE_TRAINERS_NUM', 1))
@@ -435,14 +436,6 @@ def main(args):
                  [loss.name, accuracy.name, num_seqs.name], "test")
 
 
-def get_cards():
-    num = 0
-    cards = os.environ.get('CUDA_VISIBLE_DEVICES', '')
-    if cards != '':
-        num = len(cards.split(","))
-    return num
-
-
 if __name__ == '__main__':
     print_arguments(args)
     check_cuda(args.use_cuda)
diff --git a/BERT/utils/cards.py b/BERT/utils/cards.py
new file mode 100644
index 0000000..9ba9aa6
--- /dev/null
+++ b/BERT/utils/cards.py
@@ -0,0 +1,28 @@
+#   Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import os
+
+def get_cards():
+    """
+    get gpu cards number
+    """
+    num = 0
+    cards = os.environ.get('CUDA_VISIBLE_DEVICES', '')
+    if cards != '':
+        num = len(cards.split(","))
+    return num
+
+
-- 
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