[Cleanup][A-6] clean some VarType for test

test/legacy_test/test_gaussian_random_op.py

@@ -75,7 +75,7 @@ def setUp(self):
             "mean": self.mean,
             "std": self.std,
             "seed": 10,
-            "dtype": paddle.base.core.VarDesc.VarType.FP16,
+            "dtype": paddle.float16,
             "use_mkldnn": self.use_mkldnn,
         }
         paddle.seed(10)
@@ -128,7 +128,7 @@ def setUp(self):
             "mean": self.mean,
             "std": self.std,
             "seed": 10,
-            "dtype": paddle.base.core.VarDesc.VarType.BF16,
+            "dtype": paddle.bfloat16,
             "use_mkldnn": self.use_mkldnn,
         }
         paddle.seed(10)
@@ -346,17 +346,17 @@ def test_default_dtype(self):
         def test_default_fp16():
             paddle.framework.set_default_dtype('float16')
             out = paddle.tensor.random.gaussian([2, 3])
-            self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP16)
+            self.assertEqual(out.dtype, paddle.float16)
 
         def test_default_fp32():
             paddle.framework.set_default_dtype('float32')
             out = paddle.tensor.random.gaussian([2, 3])
-            self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP32)
+            self.assertEqual(out.dtype, paddle.float32)
 
         def test_default_fp64():
             paddle.framework.set_default_dtype('float64')
             out = paddle.tensor.random.gaussian([2, 3])
-            self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP64)
+            self.assertEqual(out.dtype, paddle.float64)
 
         if paddle.is_compiled_with_cuda():
             paddle.set_device('gpu')
@@ -370,17 +370,17 @@ def test_default_dtype(self):
         def test_default_fp16():
             paddle.framework.set_default_dtype('float16')
             out = paddle.tensor.random.standard_normal([2, 3])
-            self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP16)
+            self.assertEqual(out.dtype, paddle.float16)
 
         def test_default_fp32():
             paddle.framework.set_default_dtype('float32')
             out = paddle.tensor.random.standard_normal([2, 3])
-            self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP32)
+            self.assertEqual(out.dtype, paddle.float32)
 
         def test_default_fp64():
             paddle.framework.set_default_dtype('float64')
             out = paddle.tensor.random.standard_normal([2, 3])
-            self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP64)
+            self.assertEqual(out.dtype, paddle.float64)
 
         if paddle.is_compiled_with_cuda():
             paddle.set_device('gpu')
@@ -428,9 +428,7 @@ def _check_random_value(dtype, expect, expect_mean, expect_std):
             -0.0000053026194133403266873214888799115129813799285329878330230713
         )
         expect_std = 0.99999191058126390974081232343451119959354400634765625
-        _check_random_value(
-            core.VarDesc.VarType.FP64, expect, expect_mean, expect_std
-        )
+        _check_random_value(paddle.float64, expect, expect_mean, expect_std)
 
         expect = [
             -0.7988942,
@@ -446,9 +444,7 @@ def _check_random_value(dtype, expect, expect_mean, expect_std):
         ]
         expect_mean = -0.00004762359094456769526004791259765625
         expect_std = 0.999975681304931640625
-        _check_random_value(
-            core.VarDesc.VarType.FP32, expect, expect_mean, expect_std
-        )
+        _check_random_value(paddle.float32, expect, expect_mean, expect_std)
 
 
 if __name__ == "__main__":

test/legacy_test/test_lod_tensor.py

@@ -16,6 +16,7 @@
 
 import numpy as np
 
+import paddle
 from paddle import base
 from paddle.base import core
 from paddle.base.lod_tensor import (
@@ -84,7 +85,7 @@ def test_create_lod_tensor(self):
         self.assertEqual(
             tensor.recursive_sequence_lengths(), correct_recursive_seq_lens
         )
-        self.assertEqual(tensor._dtype(), core.VarDesc.VarType.INT64)
+        self.assertEqual(tensor._dtype(), paddle.int64)
         self.assertEqual(tensor.shape(), [5, 1])
         np.testing.assert_array_equal(
             np.array(tensor),
@@ -98,7 +99,7 @@ def test_create_lod_tensor(self):
         self.assertEqual(
             tensor.recursive_sequence_lengths(), recursive_seq_lens
         )
-        self.assertEqual(tensor._dtype(), core.VarDesc.VarType.FP64)
+        self.assertEqual(tensor._dtype(), paddle.float64)
         self.assertEqual(tensor.shape(), [10, 1])
         np.testing.assert_array_equal(np.array(tensor), data)
 
@@ -182,7 +183,7 @@ def test_as_type(self):
             [[1, 3]],
             base.CPUPlace(),
         )
-        fp32_tensor = tensor._as_type(core.VarDesc.VarType.FP32)
+        fp32_tensor = tensor._as_type(paddle.float32)
         print(fp32_tensor)
 
 

test/legacy_test/test_math_op_patch.py

@@ -230,7 +230,7 @@ def test_equal(self):
         )
 
         np.testing.assert_array_equal(c_np, a_np == b_np)
-        self.assertEqual(c.dtype, base.core.VarDesc.VarType.BOOL)
+        self.assertEqual(c.dtype, paddle.bool)
 
     @prog_scope()
     @test_with_pir_api

test/legacy_test/test_math_op_patch_var_base.py

@@ -556,7 +556,7 @@ def test_astype(self):
             a = paddle.to_tensor(a_np)
             res1 = a.astype(np.float16)
             res2 = a.astype('float16')
-            res3 = a.astype(base.core.VarDesc.VarType.FP16)
+            res3 = a.astype(paddle.float16)
 
             self.assertEqual(res1.dtype, res2.dtype)
             self.assertEqual(res1.dtype, res3.dtype)
@@ -571,7 +571,7 @@ def test_conpare_op_broadcast(self):
             a = paddle.to_tensor(a_np)
             b = paddle.to_tensor(b_np)
 
-            self.assertEqual((a != b).dtype, base.core.VarDesc.VarType.BOOL)
+            self.assertEqual((a != b).dtype, paddle.bool)
             np.testing.assert_array_equal((a != b).numpy(), a_np != b_np)
 
     def test_tensor_patch_method(self):

test/legacy_test/test_parameter.py

@@ -18,7 +18,6 @@
 import numpy as np
 
 import paddle
-from paddle.base import core
 from paddle.base.dygraph import guard
 from paddle.base.executor import Executor
 from paddle.base.framework import Variable, default_main_program
@@ -41,7 +40,7 @@ def test_parameter(self):
         self.assertIsNotNone(param)
         self.assertEqual('fc.w', param.name)
         self.assertEqual((784, 100), param.shape)
-        self.assertEqual(core.VarDesc.VarType.FP32, param.dtype)
+        self.assertEqual(paddle.float32, param.dtype)
         self.assertEqual(0, param.block.idx)
         exe = Executor(paddle.CPUPlace())
         p = exe.run(main_program, fetch_list=[param])[0]