Update test_cross_entropy_loss.py

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

@@ -1564,72 +1564,6 @@ class TestCrossEntropyFAPIError(unittest.TestCase):
 
             self.assertRaises(ValueError, static_test_WeightLength_NotEqual)
 
-            def static_test_LabelValue_ExceedMax():
-                input_np = np.random.random([2, 4]).astype(self.dtype)
-                label_np = np.random.randint(0, 4, size=(2)).astype(np.int64)
-                label_np[0] = 255
-                weight_np = np.random.random([4]).astype(self.dtype)  #shape:C
-                paddle.enable_static()
-                prog = fluid.Program()
-                startup_prog = fluid.Program()
-                place = fluid.CUDAPlace(0) if fluid.core.is_compiled_with_cuda(
-                ) else fluid.CPUPlace()
-                with fluid.program_guard(prog, startup_prog):
-                    input = fluid.data(
-                        name='input', shape=[2, 4], dtype=self.dtype)
-                    label = fluid.data(name='label', shape=[2], dtype='int64')
-                    weight = fluid.data(
-                        name='weight', shape=[4],
-                        dtype=self.dtype)  #weight for each class
-                    cross_entropy_loss = paddle.nn.loss.CrossEntropyLoss(
-                        weight=weight)
-                    ret = cross_entropy_loss(input, label)
-
-                    exe = fluid.Executor(place)
-                    static_ret = exe.run(prog,
-                                         feed={
-                                             'input': input_np,
-                                             'label': label_np,
-                                             "weight": weight_np
-                                         },
-                                         fetch_list=[ret])
-                    self.assertIsNotNone(static_ret)
-
-            self.assertRaises(ValueError, static_test_LabelValue_ExceedMax)
-
-            def static_test_LabelValue_ExceedMin():
-                input_np = np.random.random([2, 4]).astype(self.dtype)
-                label_np = np.random.randint(0, 4, size=(2)).astype(np.int64)
-                label_np[0] = -1
-                weight_np = np.random.random([4]).astype(self.dtype)  #shape:C
-                paddle.enable_static()
-                prog = fluid.Program()
-                startup_prog = fluid.Program()
-                place = fluid.CUDAPlace(0) if fluid.core.is_compiled_with_cuda(
-                ) else fluid.CPUPlace()
-                with fluid.program_guard(prog, startup_prog):
-                    input = fluid.data(
-                        name='input', shape=[2, 4], dtype=self.dtype)
-                    label = fluid.data(name='label', shape=[2], dtype='int64')
-                    weight = fluid.data(
-                        name='weight', shape=[4],
-                        dtype=self.dtype)  #weight for each class
-                    cross_entropy_loss = paddle.nn.loss.CrossEntropyLoss(
-                        weight=weight)
-                    ret = cross_entropy_loss(input, label)
-
-                    exe = fluid.Executor(place)
-                    static_ret = exe.run(prog,
-                                         feed={
-                                             'input': input_np,
-                                             'label': label_np,
-                                             "weight": weight_np
-                                         },
-                                         fetch_list=[ret])
-                    self.assertIsNotNone(static_ret)
-
-            self.assertRaises(ValueError, static_test_LabelValue_ExceedMin)
-
 
 if __name__ == "__main__":
     unittest.main()