【Fix PIR Unittest No.38 BUAA】fix TruncatedNormalInitializer according…

… to NormalInitializer and fix test_cuda_random_seed (PaddlePaddle#66413)

* fix TruncatedNormalInitializer according to NormalInitializer

* change the assertion

* fix the code style

python/paddle/nn/initializer/normal.py

@@ -235,9 +235,10 @@ def forward(
             The initialization op
         """
         block = self._check_block(block)
-
-        assert isinstance(var, framework.Variable)
-        assert isinstance(block, framework.Block)
+        assert isinstance(
+            var, (framework.Variable, paddle.pir.core.ParameterMeta)
+        )
+        assert isinstance(block, (framework.Block, pir.Block))
 
         if self._seed == 0:
             self._seed = block.program.random_seed
@@ -279,6 +280,25 @@ def forward(
                 out_var._share_underline_tensor_to(var)
             return None
 
+        elif in_pir_mode():
+            out_var = _C_ops.truncated_gaussian_random(
+                var.shape,
+                self._mean,
+                self._std_dev,
+                self._seed,
+                self._a,
+                self._b,
+                out_dtype,
+                _current_expected_place(),
+            )
+            if var.dtype in [
+                core.VarDesc.VarType.FP16,
+                core.VarDesc.VarType.BF16,
+            ]:
+                var_tmp = _C_ops.cast(out_var, var.dtype)
+                var_tmp._share_underline_tensor_to(var)
+            return out_var
+
         else:
             op = block.append_op(
                 type="truncated_gaussian_random",