The solution to migrate code to compatible with Tensorflow1.0.1

[yuanke]

diff --git a/networks/layers.py b/networks/layers.py
index 86d6052..5c8e329 100644
--- a/networks/layers.py
+++ b/networks/layers.py
@@ -7,7 +7,7 @@ def conv2d(x,
kernel_size,
stride,
weights_initializer=tf.contrib.layers.xavier_initializer(),

•       biases_initializer=tf.zeros_initializer,
  

•       biases_initializer=tf.zeros_initializer(),
        activation_fn=tf.nn.relu,
        data_format='NHWC',
        padding='VALID',
  

diff --git a/networks/mlp.py b/networks/mlp.py
index 9c9e58f..8f595f8 100644
--- a/networks/mlp.py
+++ b/networks/mlp.py
@@ -12,7 +12,7 @@ class MLPSmall(Network):
trainable=True,
batch_size=None,
weights_initializer=initializers.xavier_initializer(),

•           biases_initializer=tf.zeros_initializer,
  

•           biases_initializer=tf.zeros_initializer(),
            hidden_activation_fn=tf.nn.relu,
            output_activation_fn=None,
            hidden_sizes=[50, 50, 50],