Update test_loss

test/core/test_loss.py

@@ -5,7 +5,6 @@
 from fastNLP.core.metrics import SeqLabelEvaluator
 from fastNLP.core.field import TextField, LabelField
 from fastNLP.core.instance import Instance
-
 from fastNLP.core.optimizer import Optimizer
 from fastNLP.core.trainer import SeqLabelTrainer
 from fastNLP.models.sequence_modeling import SeqLabeling
@@ -51,6 +50,8 @@ def test_case_1(self):
 		print ("loss = %f" % (los))
 		print ("r = %f" % (r))
 
+		self.assertEqual(int(los * 1000), int(r * 1000))
+
 	def test_case_2(self):
 		#验证squash()的正确性
 		print ("----------------------------------")
@@ -82,12 +83,14 @@ def test_case_2(self):
 
 		y = tc.log(y)
 		los = loss_func(y , gy)
+		print ("loss = %f" % (los))
 
 		r = -log(.3) - log(.3) - log(.1) - log(.3) - log(.7) - log(.1)
 		r /= 6
-		print ("loss = %f" % (los))
 		print ("r = %f" % (r))
 
+		self.assertEqual(int(los * 1000), int(r * 1000))
+
 	def test_case_3(self):
 		#验证pack_padded_sequence()的正确性
 		print ("----------------------------------")
@@ -130,6 +133,8 @@ def test_case_3(self):
 		r /= 6
 		print ("r = %f" % (r))
 
+		self.assertEqual(int(los * 1000), int(r * 1000))
+
 	def test_case_4(self):
 		#验证unpad()的正确性
 		print ("----------------------------------")
@@ -169,6 +174,9 @@ def test_case_4(self):
 		r /= 7
 		print ("r = %f" % (r))
 
+
+		self.assertEqual(int(los * 1000), int(r * 1000))
+
 	def test_case_5(self):
 		#验证mask()和make_mask()的正确性
 		print ("----------------------------------")
@@ -217,6 +225,10 @@ def test_case_5(self):
 		r /= 8
 		print ("r = %f" % (r))
 
+
+		self.assertEqual(int(los * 1000), int(r * 1000))
+		self.assertEqual(int(los2 * 1000), int(r * 1000))
+
 	def test_case_6(self):
 		#验证unpad_mask()的正确性
 		print ("----------------------------------")
@@ -256,6 +268,8 @@ def test_case_6(self):
 		r /= 7
 		print ("r = %f" % (r))
 
+		self.assertEqual(int(los * 1000), int(r * 1000))
+
 	def test_case_7(self):
 		#验证一些其他东西
 		print ("----------------------------------")
@@ -295,6 +309,7 @@ def test_case_7(self):
 		r = - log(.3) - log(.5) - log(.3)
 		r /= 3
 		print ("r = %f" % (r))
+		self.assertEqual(int(los * 1000), int(r * 1000))
 
 if __name__ == "__main__":
-	unittest.main()
+	unittest.main()