Fix default GetExpectedKernelType for ops supported tensor attrs (#49414)

* Fix default GetExpectedKernelType for ops supported tensor attrs

paddle/fluid/framework/operator.cc

@@ -2715,7 +2715,23 @@ proto::VarType::Type OperatorWithKernel::IndicateDataType(
   proto::VarType::Type dafault_data_type =
       static_cast<proto::VarType::Type>(-1);
   proto::VarType::Type data_type = dafault_data_type;
-  for (auto* name : ctx.InNameList()) {
+
+  auto in_name_list = ctx.InNameList();
+  if (Info().HasOpProtoAndChecker()) {
+    for (auto& attr : Info().Proto().attrs()) {
+      auto it =
+          std::find_if(in_name_list.begin(),
+                       in_name_list.end(),
+                       [&attr](const std::string* name) {
+                         return attr.support_tensor() && *name == attr.name();
+                       });
+      if (it != in_name_list.end()) {
+        in_name_list.erase(it);
+      }
+    }
+  }
+
+  for (auto* name : in_name_list) {
     if (ctx.InputSize(*name) == 1UL) {
       ParseInputDataType(ctx.InputVar(*name), *name, &data_type);
     } else {

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

@@ -178,6 +178,22 @@ class TestPaddingValueTensor2(TestPaddingValueTensor):
         return out
 
 
+class TestPaddingValueTensor3(unittest.TestCase):
+    def test_static(self):
+        np_x = np.random.random((16, 16)).astype('float32')
+        main_prog = Program()
+        starup_prog = Program()
+        with program_guard(main_prog, starup_prog):
+            x = paddle.assign(np_x).astype('float32')
+            pad_value = paddle.assign([0.0]).astype('float64')
+            y = paddle.nn.functional.pad(x, [0, 1, 2, 3], value=pad_value)
+
+        exe = paddle.static.Executor(paddle.CPUPlace())
+        [pd_out] = exe.run(main_prog, fetch_list=[y])
+        np_out = np.pad(np_x, [(0, 1), (2, 3)], constant_values=0.0)
+        np.testing.assert_allclose(pd_out, np_out)
+
+
 if __name__ == '__main__':
     paddle.enable_static()
     unittest.main()