diff --git a/docs/op_matrix.md b/docs/op_matrix.md
index 0b0a9173..6dec3cd5 100644
--- a/docs/op_matrix.md
+++ b/docs/op_matrix.md
@@ -94,6 +94,8 @@ Operators that are implemented in Python
 | `aten::hardtanh_` |  |
 | `aten::im2col` | only 4-D input tensors (batched image-like tensors) are supported |
 | `aten::index` | Multiple indices for aten::index is not supported |
+| `aten::index_put` | aten::index_put_ with accumulate=True is not supported |
+| `aten::index_put_` | aten::index_put_ with accumulate=True is not supported |
 | `aten::index_select` |  |
 | `aten::instance_norm` |  |
 | `aten::layer_norm` |  |
diff --git a/tinynn/converter/operators/torch/aten.py b/tinynn/converter/operators/torch/aten.py
index 685c2d7a..d96fbc63 100644
--- a/tinynn/converter/operators/torch/aten.py
+++ b/tinynn/converter/operators/torch/aten.py
@@ -3077,7 +3077,10 @@ def parse(self, node, attrs, args, graph_converter):
                 input_names, self.input_tensors[1], graph_converter=graph_converter, non_existent_as_buffer=True
             )
         else:
-            indices_tensors = [self.find_or_create_input(1, graph_converter)]
+            if type(self.input_tensors[1]) in (tuple, list):
+                indices_tensors = [self.create_attr_tensor(x) for x in self.input_tensors[1]]
+            else:
+                indices_tensors = [self.find_or_create_input(1, graph_converter)]
 
         dim = input_tensor.tensor.ndim