fixed batch norm

zsdonghao · zsdonghao · commit 24936bbe57ec · 2017-01-09T16:00:45.000Z
diff --git a/tensorlayer/layers.py b/tensorlayer/layers.py
@@ -1915,7 +1915,7 @@ def mean_var_with_update():
             #     lambda: (moving_mean, moving_variance)) # when inferencing, (x-0)/1
             #
             # self.outputs = act( tf.nn.batch_normalization(self.inputs, mean, var, beta, gamma, epsilon) )
-            if not is_train:
+            if is_train:
                 mean, var = mean_var_with_update()
                 self.outputs = act( tf.nn.batch_normalization(self.inputs, mean, var, beta, gamma, epsilon) )
             else:

Original file line number	Diff line number	Diff line change
`@@ -1915,7 +1915,7 @@ def mean_var_with_update():`
`1915`	`1915`	`# lambda: (moving_mean, moving_variance)) # when inferencing, (x-0)/1`
`1916`	`1916`	`#`
`1917`	`1917`	`# self.outputs = act( tf.nn.batch_normalization(self.inputs, mean, var, beta, gamma, epsilon) )`
`1918`		`- if not is_train:`
	`1918`	`+ if is_train:`
`1919`	`1919`	`mean, var = mean_var_with_update()`
`1920`	`1920`	`self.outputs = act( tf.nn.batch_normalization(self.inputs, mean, var, beta, gamma, epsilon) )`
`1921`	`1921`	`else:`