[bug][graph] Advanced indexing assignment with negative indices crashes in Graph mode (RuntimeError: This is a oneflow bug …)

import oneflow as flow
import oneflow.nn as nn
import numpy as np

class IndexAssign(nn.Module):
    def __init__(self):
        super().__init__()
        # Two 1D integer index tensors (with negative indices)
        self.register_buffer("idx0", flow.tensor([0, -1], dtype=flow.int64))  # rows
        self.register_buffer("idx1", flow.tensor([-2, 1], dtype=flow.int64))  # cols
        self.register_buffer("vals", flow.tensor([1.0, 5.0], dtype=flow.float32))

    def forward(self, x):  # x: (3, 3)
        y = x.clone()
        # Key trigger: advanced indexing assignment with negative indices
        y[self.idx0, self.idx1] = self.vals
        return y

def eager_then_graph():
    m = IndexAssign().eval()
    x = flow.randn(3, 3, dtype=flow.float32)

    # 1) Eager mode → OK
    y_eager = m(x)

    # 2) Graph mode → raises internal error
    class G(nn.Graph):
        def __init__(self, mod):
            super().__init__()
            self.m = mod
        def build(self, inp):
            return self.m(inp)

    g = G(m)
    y_graph = g(x)  # <-- triggers internal runtime error

if __name__ == "__main__":
    eager_then_graph()

[ERROR](GRAPH:G_0:G) building graph got error.
Traceback (most recent call last):
  ...
  File "oneflow_mre_advanced_index_assign_graph_bug.py", line 33, in build
    return self.m(inp)
  ...
  File "oneflow_mre_advanced_index_assign_graph_bug.py", line 17, in forward
    y[self.idx0, self.idx1] = self.vals
RuntimeError: Error: RuntimeError : This is a oneflow bug, please submit an issue at 'https://github.com/Oneflow-Inc/oneflow/issues' including the log information of the error, the minimum reproduction code, and the system information.