[PIR] A-17 Adapt transpose test_errors

python/paddle/tensor/linalg.py

@@ -52,7 +52,7 @@ def transpose(x, perm, name=None):
     perm[i]-th dimension of `input`.
 
     Args:
-        x (Tensor): The input Tensor. It is a N-D Tensor of data types bool, float32, float64, int32.
+        x (Tensor): The input Tensor. It is a N-D Tensor of data types bool, float16, bfloat16, float32, float64, int8, int16, int32, int64, uint8, uint16, complex64, complex128.
         perm (list|tuple): Permute the input according to the data of perm.
         name (str, optional): The name of this layer. For more information, please refer to :ref:`api_guide_Name`. Default is None.
 
@@ -119,8 +119,12 @@ def transpose(x, perm, name=None):
             [
                 'bool',
                 'float16',
+                'bfloat16',
                 'float32',
                 'float64',
+                'int8',
+                'uint8',
+                'int16',
                 'int32',
                 'int64',
                 'uint16',

test/legacy_test/test_transpose_op.py

@@ -21,7 +21,7 @@
 
 import paddle
 from paddle import base
-from paddle.base import Program, core, program_guard
+from paddle.base import core
 from paddle.pir_utils import test_with_pir_api
 
 paddle.enable_static()
@@ -499,9 +499,12 @@ def initTestCase(self):
 
 
 class TestTransposeOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
         paddle.enable_static()
-        with program_guard(Program(), Program()):
+        with paddle.static.program_guard(
+            paddle.static.Program(), paddle.static.Program()
+        ):
             x = paddle.static.data(
                 name='x', shape=[-1, 10, 5, 3], dtype='float64'
             )
@@ -512,15 +515,6 @@ def test_x_Variable_check():
 
             self.assertRaises(TypeError, test_x_Variable_check)
 
-            def test_x_dtype_check():
-                # the Input(x)'s dtype must be one of [bool, float16, float32, float64, int32, int64]
-                x1 = paddle.static.data(
-                    name='x1', shape=[-1, 10, 5, 3], dtype='int8'
-                )
-                paddle.transpose(x1, perm=[1, 0, 2])
-
-            self.assertRaises(TypeError, test_x_dtype_check)
-
             def test_perm_list_check():
                 # Input(perm)'s type must be list
                 paddle.transpose(x, perm="[1, 0, 2]")