443c074527f164955720dcde5c1830faf519f89f,inception/inception/slim/ops_test.py,BatchNormTest,testComputeMovingVars,#BatchNormTest#,593

Before Change

      update_ops = tf.get_collection(ops.UPDATE_OPS_COLLECTION)
      with tf.control_dependencies(update_ops):
        barrier = tf.no_op(name="gradient_barrier")
        output = control_flow_ops.with_dependencies([barrier], output)
      // Initialize all variables
      sess.run(tf.global_variables_initializer())
      moving_mean = variables.get_variables("BatchNorm/moving_mean")[0]
      moving_variance = variables.get_variables("BatchNorm/moving_variance")[0]

After Change

      update_ops = tf.get_collection(ops.UPDATE_OPS_COLLECTION)
      with tf.control_dependencies(update_ops):
        barrier = tf.no_op(name="gradient_barrier")
        with tf.control_dependencies([barrier]):
          output = output
      // Initialize all variables
      sess.run(tf.global_variables_initializer())
      moving_mean = variables.get_variables("BatchNorm/moving_mean")[0]
      moving_variance = variables.get_variables("BatchNorm/moving_variance")[0]
      mean, variance = sess.run([moving_mean, moving_variance])

Instances