Remove self-set accuracy parameters of op tests: max_relative_error (#21739)

* Remove self-set accuracy parameters of op tests: max_relative_error
test=develop

* Remove self-set accuracy parameters of op tests
test=develop

* keep smaller parameters
test=develop

python/paddle/fluid/tests/unittests/test_conv_shift_op.py

@@ -48,7 +48,7 @@ class TestConvShiftOp(OpTest):
         self.check_output()
 
     def test_check_grad_normal(self):
-        self.check_grad(['X', 'Y'], 'Out', max_relative_error=0.05)
+        self.check_grad(['X', 'Y'], 'Out')
 
     def test_check_grad_ignore_x(self):
         self.check_grad(

python/paddle/fluid/tests/unittests/test_crop_op.py

@@ -74,7 +74,7 @@ class TestCropOp(OpTest):
         self.check_output()
 
     def test_check_grad_normal(self):
-        self.check_grad(['X'], 'Out', max_relative_error=0.006)
+        self.check_grad(['X'], 'Out')
 
 
 class TestCase1(TestCropOp):

python/paddle/fluid/tests/unittests/test_crop_tensor_op.py

@@ -80,7 +80,7 @@ class TestCropTensorOp(OpTest):
         self.check_output()
 
     def test_check_grad_normal(self):
-        self.check_grad(['X'], 'Out', max_relative_error=0.006)
+        self.check_grad(['X'], 'Out')
 
 
 class TestCase1(TestCropTensorOp):
@@ -178,7 +178,7 @@ class TestCropTensorOpTensorAttr(OpTest):
         self.check_output()
 
     def test_check_grad_normal(self):
-        self.check_grad(["X"], "Out", max_relative_error=0.006)
+        self.check_grad(["X"], "Out")
 
 
 class TestCropTensorOpTensorAttrCase1(TestCropTensorOpTensorAttr):

python/paddle/fluid/tests/unittests/test_lrn_op.py

@@ -98,7 +98,7 @@ class TestLRNOp(OpTest):
         self.check_output()
 
     def test_check_grad_normal(self):
-        self.check_grad(['X'], 'Out', max_relative_error=0.01)
+        self.check_grad(['X'], 'Out')
 
 
 class TestLRNOpAttrDataFormat(TestLRNOp):

python/paddle/fluid/tests/unittests/test_modified_huber_loss_op.py

@@ -57,7 +57,7 @@ class TestModifiedHuberLossOp(OpTest):
         self.check_output()
 
     def test_check_grad(self):
-        self.check_grad(['X'], 'Out', max_relative_error=0.01)
+        self.check_grad(['X'], 'Out')
 
 
 if __name__ == '__main__':