!12068 getitem with empty list

From: @yepei6
Reviewed-by: @kisnwang,@kingxian
Signed-off-by: @kingxian

mindspore/ops/composite/multitype_ops/_compile_utils.py

@@ -229,15 +229,31 @@ def tensor_index_by_tuple(data, tuple_index):
     indexes_types = hyper_map(F.typeof, tuple_index)
     contain_type = const_utils.tuple_index_type_cnt(indexes_types, op_name)
     if contain_type == const_utils.ALL_TENSOR:
-        return _tensor_getitem_by_tuple_of_tensor(data, tuple_index)
+        return _tensor_getitem_by_tuple_of_tensor(data, tuple_index, op_name)
     if contain_type == const_utils.ALL_BASIC:
         return _tensor_getitem_by_tuple_slice(data, tuple_index)
-    return _tensor_getitem_by_tuple(data, tuple_index)
+    return _tensor_getitem_by_tuple(data, tuple_index, op_name)
 
 
-def _tensor_getitem_by_tuple_of_tensor(data, tuple_index):
+def _tensor_getitem_by_tuple_of_tensor(data, tuple_index, op_name):
     """Tensor getitem by a tuple of tensor."""
-    indices = _generate_indices_from_tuple_of_tensor(data, tuple_index, const_utils.TENSOR_GETITEM)
+    data_shape = F.shape(data)
+    tuple_index_len = len(tuple_index)
+
+    indexes_types = hyper_map(F.dtype, tuple_index)
+    const_utils.check_indexes_types_valid(indexes_types, mstype.int_type, op_name)
+    tensor_index_shape = hyper_map(F.shape, tuple_index)
+    broadcast_shape = const_utils.generate_broadcast_shape(tensor_index_shape, op_name)
+    if 0 in broadcast_shape:
+        res_shape = broadcast_shape + data_shape[tuple_index_len:]
+        res = const_utils.make_tensor([], data.dtype, res_shape)
+        return res
+
+    broadcast_tensors = hyper_map(F.partial(_broadcast, broadcast_shape), tuple_index)
+    new_broadcast_tensors = ()
+    for tensor in broadcast_tensors:
+        new_broadcast_tensors += (F.cast(tensor, mstype.int64),)
+    indices = pack(new_broadcast_tensors)
     result = F.gather_nd(data, indices)
     return result
 
@@ -250,9 +266,9 @@ def _tensor_getitem_by_tuple_slice(data, tuple_index):
     return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)
 
 
-def _tensor_getitem_by_tuple(data, tuple_index):
+def _tensor_getitem_by_tuple(data, tuple_index, op_name):
     """Tensor getitem by a tuple of mixed tensor."""
-    indices = _generate_indices_from_tuple(data, tuple_index, const_utils.TENSOR_GETITEM)
+    indices = _generate_indices_from_tuple(data, tuple_index, op_name)
     result = F.gather_nd(data, indices)
     return result