Tensorflow測試失敗

Question

我測試TF，當我測試除了我得到：

E  AssertionError: 
E  Arrays are not equal 
E  
E  (mismatch 100.0%) 
E  x: array(4.099999904632568, dtype=float32) 
E  y: array(4.1) 

如果我改變從3.1測試3.0，它的工作原理？任何建議

代碼

import tensorflow as tf 
import unittest 

def sum_op(param1, param2): 
    return tf.add(param1, param2) 

with tf.Graph().as_default(): 
    result = sum_op(tf.constant(1.0), tf.Variable(2.0)) 
    with tf.Session() as sess: 
     tf.global_variables_initializer().run() 
     print sess.run(result) 



class AddTest(tf.test.TestCase): 
    def testAdd(self): 
     with self.test_session() as sess: 
      self.assertAllEqual(sum_op(1.0, 3.1).eval(), 4.1) 


suite = unittest.TestLoader().loadTestsFromTestCase(AddTest) 
unittest.TextTestRunner(verbosity=2).run(suite) 

Answer 1

一般來說，測試與浮點運算精確的平等是容易出錯。您可能想要閱讀What Every Programmer Should Know About Floating-Point Arithmetic。

檢查浮點代碼時應該使用公差，例如numpy的isclosefunction。