Update Network.py

Author: GeiduanLiu

source/train/Network.py

@@ -6,6 +6,7 @@
 def one_layer(inputs, 
               outputs_size, 
               activation_fn=tf.nn.tanh, 
+              precision = global_tf_float_precision, 
               stddev=1.0,
               bavg=0.0,
               name='linear', 
@@ -17,17 +18,17 @@ def one_layer(inputs,
         shape = inputs.get_shape().as_list()
         w = tf.get_variable('matrix', 
                             [shape[1], outputs_size], 
-                            global_tf_float_precision,
+                            precision,
                             tf.random_normal_initializer(stddev=stddev/np.sqrt(shape[1]+outputs_size), seed = seed))
         b = tf.get_variable('bias', 
                             [outputs_size], 
-                            global_tf_float_precision,
+                            precision,
                             tf.random_normal_initializer(stddev=stddev, mean = bavg, seed = seed))
         hidden = tf.matmul(inputs, w) + b
         if activation_fn != None and use_timestep :
             idt = tf.get_variable('idt',
                                   [outputs_size],
-                                  global_tf_float_precision,
+                                  precision,
                                   tf.random_normal_initializer(stddev=0.001, mean = 0.1, seed = seed))
         if activation_fn != None:
             if useBN: