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-rw-r--r--tensorflow/examples/learn/mnist.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/examples/learn/mnist.py b/tensorflow/examples/learn/mnist.py
index 6e5fe7891b..15cf4b91dd 100644
--- a/tensorflow/examples/learn/mnist.py
+++ b/tensorflow/examples/learn/mnist.py
@@ -46,13 +46,13 @@ def conv_model(feature, target, mode):
# First conv layer will compute 32 features for each 5x5 patch
with tf.variable_scope('conv_layer1'):
- h_conv1 = layers.convolution(
+ h_conv1 = layers.convolution2d(
feature, 32, kernel_size=[5, 5], activation_fn=tf.nn.relu)
h_pool1 = max_pool_2x2(h_conv1)
# Second conv layer will compute 64 features for each 5x5 patch.
with tf.variable_scope('conv_layer2'):
- h_conv2 = layers.convolution(
+ h_conv2 = layers.convolution2d(
h_pool1, 64, kernel_size=[5, 5], activation_fn=tf.nn.relu)
h_pool2 = max_pool_2x2(h_conv2)
# reshape tensor into a batch of vectors