[Dy2St][PIR] Support setitem for TensorArray

paddle/fluid/pybind/manual_static_op_function.h

@@ -379,17 +379,17 @@ static PyObject *static_api_slice_array(PyObject *self,
           starts_tmp, phi::DataType::INT64, phi::CPUPlace());
     }
 
-    PyObject *ends_obj = PyTuple_GET_ITEM(args, 1);
+    PyObject *ends_obj = PyTuple_GET_ITEM(args, 2);
     pir::Value ends;
     if (PyObject_CheckIRValue(ends_obj)) {
-      ends = CastPyArg2Value(ends_obj, "slice_array", 1);
+      ends = CastPyArg2Value(ends_obj, "slice_array", 2);
     } else if (PyObject_CheckIRVectorOfValue(ends_obj)) {
       std::vector<pir::Value> ends_tmp =
-          CastPyArg2VectorOfValue(ends_obj, "slice_array", 1);
+          CastPyArg2VectorOfValue(ends_obj, "slice_array", 2);
       ends = paddle::dialect::stack(ends_tmp, /*axis*/ 0);
     } else {
       std::vector<int64_t> ends_tmp =
-          CastPyArg2Longs(ends_obj, "slice_array", 1);
+          CastPyArg2Longs(ends_obj, "slice_array", 2);
       ends = paddle::dialect::full_int_array(
           ends_tmp, phi::DataType::INT64, phi::CPUPlace());
     }

python/paddle/base/variable_index.py

@@ -151,7 +151,7 @@ def _setitem_for_tensor_array(var, item, value):
     assert (
         not paddle.in_dynamic_mode()
     ), "setitem for tensor_array must be called in static graph mode."
-    if isinstance(item, (Variable, int)):
+    if isinstance(item, (Variable, paddle.pir.Value, int)):
         from paddle.jit.dy2static.convert_operators import to_static_variable
         from paddle.tensor import array_write
 
@@ -248,17 +248,21 @@ def slice_is_same_to_original(start, end, step):
     return start == 0 and end == MAX_INTEGER and step == 1
 
 
-def parse_index(x, indices):
+def is_tensor_array_type(value):
     from .framework import in_pir_mode
 
     if in_pir_mode():
-        is_tensor_array = x.is_dense_tensor_array_type()
+        return value.is_dense_tensor_array_type()
     else:
-        is_tensor_array = (
-            hasattr(x, "desc")
-            and x.desc.type() == core.VarDesc.VarType.LOD_TENSOR_ARRAY
+        return (
+            hasattr(value, "desc")
+            and value.desc.type() == core.VarDesc.VarType.LOD_TENSOR_ARRAY
         )
 
+
+def parse_index(x, indices):
+    is_tensor_array = is_tensor_array_type(x)
+
     advanced_index = (
         [] if is_tensor_array else [None] * 2 * len(x.shape)
     )  # content is (dim, index)
@@ -448,7 +452,9 @@ def _setitem_static(x, indices, values):
     from . import in_dynamic_or_pir_mode
     from .framework import Variable, default_main_program, in_pir_mode
 
-    if x.type == paddle.base.core.VarDesc.VarType.LOD_TENSOR_ARRAY:
+    is_tensor_array = is_tensor_array_type(x)
+
+    if is_tensor_array:
         return _setitem_for_tensor_array(x, indices, values)
 
     # step1: parsing the index and recording them

test/dygraph_to_static/test_slice.py

@@ -155,6 +155,7 @@ class TestSliceInIf(TestSliceBase):
     def init_dygraph_func(self):
         self.dygraph_func = test_slice_in_if
 
+    @test_legacy_and_pt_and_pir
     def test_transformed_static_result(self):
         self.init_dygraph_func()
         static_res = self.run_static_mode()
@@ -179,14 +180,6 @@ def init_input(self):
     def init_dygraph_func(self):
         self.dygraph_func = test_set_value
 
-    # TODO(pir-control-flow): Delete this code after supporting control flow
-    @test_legacy_and_pt_and_pir
-    def test_transformed_static_result(self):
-        self.init_dygraph_func()
-        static_res = self.run_static_mode()
-        dygraph_res = self.run_dygraph_mode()
-        np.testing.assert_allclose(dygraph_res, static_res, rtol=1e-05)
-
 
 class TestSetValueWithLayerAndSave(Dy2StTestBase):
     def setUp(self):