[NPU] Fix unittests in PIR mode (#1667)

Author: LittleHeroZZZX

.gitignore

@@ -35,3 +35,6 @@ version.info
 
 # ignore Paddle change
 Paddle/
+
+# ignore clangd cache
+.cache/

Paddle

@@ -499,7 +499,6 @@ def test_api(self):
 
                 out1 = paddle.log2(data_x)
                 exe = paddle.static.Executor(place=self.place)
-                exe.run(paddle.static.default_startup_program())
                 (res1,) = exe.run(
                     paddle.static.default_main_program(),
                     feed={"data_x": input_x},

backends/npu/tests/unittests/test_activation_op.py

@@ -61,7 +61,6 @@ def set_device(self):
             paddle.set_device(self.device)
             paddle.enable_static()
             exe = paddle.static.Executor(self.place)
-            exe.run(paddle.static.default_startup_program())
             paddle.disable_static()
 
         def test_output(self):
@@ -104,7 +103,6 @@ def build_op(case):
                         op(x=inputs[case["x"]], y=inputs[case["y"]], **case["args"])
                         exe = paddle.static.Executor(self.place)
 
-                        exe.run(paddle.static.default_startup_program())
                         exe.run(paddle.static.default_main_program())
 
                 for case in cases:

backends/npu/tests/unittests/test_compare_op_npu.py

@@ -23,10 +23,6 @@
 
 paddle.enable_static()
 
-# Initialize NPU device
-exe = paddle.static.Executor(paddle.CustomPlace("npu", 0))
-exe.run(paddle.static.default_startup_program())
-
 
 class TestElementwiseAddOp(OpTest):
     def setUp(self):

backends/npu/tests/unittests/test_elementwise_add_op_npu.py

@@ -192,10 +192,13 @@ def test_errors(self):
             )
             self.assertRaises(TypeError, paddle.subtract, x1, y1)
 
+            # TypeError won't be raised on X86_64 when uint8-supported onednn kernel
+            # is available, but will be raised on ARM due to lack of uint8 kernel support.
+
             # the input dtype must be float16 or float32 or float64 or int32 or int64
-            x2 = paddle.static.data(name="x2", shape=[3, 4, 5, 6], dtype="uint8")
-            y2 = paddle.static.data(name="y2", shape=[3, 4, 5, 6], dtype="uint8")
-            self.assertRaises(TypeError, paddle.subtract, x2, y2)
+            # x2 = paddle.static.data(name="x2", shape=[3, 4, 5, 6], dtype="uint8")
+            # y2 = paddle.static.data(name="y2", shape=[3, 4, 5, 6], dtype="uint8")
+            # self.assertRaises(TypeError, paddle.subtract, x2, y2)
 
 
 class TestSubtractNet(unittest.TestCase):

backends/npu/tests/unittests/test_elementwise_sub_op_npu.py

@@ -115,7 +115,6 @@ def test_invalid_n():
                 with program_guard(Program(), Program()):
                     paddle.randperm(-3)
                     exe = paddle.static.Executor()
-                    exe.run(paddle.static.default_startup_program())
                     exe.run(paddle.static.default_main_program())
 
             self.assertRaises(RuntimeError, test_invalid_n)
@@ -124,7 +123,6 @@ def test_invalid_dtype():
                 with program_guard(Program(), Program()):
                     paddle.randperm(10, "int8")
                     exe = paddle.static.Executor()
-                    exe.run(paddle.static.default_startup_program())
                     exe.run(paddle.static.default_main_program())
 
             self.assertRaises(TypeError, test_invalid_dtype)

backends/npu/tests/unittests/test_randperm_op_npu.py

@@ -51,6 +51,7 @@ def test_unbind_static_fp16_npu(self):
             y = paddle.unbind(x)
 
             exe = paddle.static.Executor(place)
+
             res = exe.run(
                 paddle.static.default_main_program(),
                 feed={