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author오형석/On-Device Lab(SR)/Staff Engineer/삼성전자 <hseok82.oh@samsung.com>2019-08-05 15:48:14 +0900
committer이춘석/On-Device Lab(SR)/Staff Engineer/삼성전자 <chunseok.lee@samsung.com>2019-08-05 15:48:14 +0900
commitdd4a2864163a00b8bf87d02c151fb2d8997727ae (patch)
tree8bb4a4ef0bec5e0bd8a6a963793ee9f02c802809 /res/TensorFlowTests/TF_SMALL_NET_0003
parent79111d3a90e4817936e8628aaafd9a36f5d1e2e5 (diff)
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Fix pylint warning in res (#6210)
Fix pylint warning by python files in res Signed-off-by: Hyeongseok Oh <hseok82.oh@samsung.com>
Diffstat (limited to 'res/TensorFlowTests/TF_SMALL_NET_0003')
-rw-r--r--res/TensorFlowTests/TF_SMALL_NET_0003/test.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0003/test.py b/res/TensorFlowTests/TF_SMALL_NET_0003/test.py
index 4a194fb61..b5bad2dae 100644
--- a/res/TensorFlowTests/TF_SMALL_NET_0003/test.py
+++ b/res/TensorFlowTests/TF_SMALL_NET_0003/test.py
@@ -6,9 +6,9 @@
import tensorflow as tf
-input = tf.placeholder(tf.float32, [1, 3, 3, 5])
-filter = tf.constant(1.0, shape=[2, 2, 5, 1])
-conv = tf.nn.conv2d(input, filter=filter, strides=[1, 1, 1, 1], padding='SAME')
+input0 = tf.placeholder(tf.float32, [1, 3, 3, 5])
+filter0 = tf.constant(1.0, shape=[2, 2, 5, 1])
+conv = tf.nn.conv2d(input0, filter=filter0, strides=[1, 1, 1, 1], padding='SAME')
fbn = tf.nn.fused_batch_norm(
conv, scale=[1.0], offset=[0.0], mean=[0.0], variance=[1.0], is_training=False)