diff --git a/src/pass/arg_binder.cc b/src/pass/arg_binder.cc
index ff4c77accf073..8268fc4e1aed5 100644
--- a/src/pass/arg_binder.cc
+++ b/src/pass/arg_binder.cc
@@ -239,7 +239,7 @@ void ArgBinder::BindDLTensor(const Buffer& buffer,
           AssertStmt::make(arith::ComputeReduce<ir::And>(conds, Expr()),
                            stride_err_msg.str(), Evaluate::make(0));
       check = IfThenElse::make(Not::make(is_null), check, Stmt());
-      init_nest_.emplace_back(Block::make(check, Evaluate::make(0)));
+      asserts_.emplace_back(Block::make(check, Evaluate::make(0)));
     }
   } else if (buffer->buffer_type == kAutoBroadcast) {
     Type stype = buffer->DefaultIndexType();
diff --git a/tests/python/unittest/test_build_lower.py b/tests/python/unittest/test_build_lower.py
index 8600fc2b46288..082b85f35b42a 100644
--- a/tests/python/unittest/test_build_lower.py
+++ b/tests/python/unittest/test_build_lower.py
@@ -32,5 +32,13 @@ def test_lower_rfactor():
     s[BF].compute_at(s[B], s[B].op.reduce_axis[0])
     fapi = tvm.lower(s, [A, B])
 
+def test_dependent_output_shape():
+    n, m, x = tvm.var('n'), tvm.var('m'), tvm.var('x')
+    A = tvm.placeholder((n, m))
+    B = tvm.compute((m, n/x), lambda i, j: A[i,j] , name='B')
+    s = tvm.create_schedule(B.op)
+    mod = tvm.build(s, [A, B, x])
+
 if __name__ == "__main__":
     test_lower_rfactor()
+    test_dependent_output_shape()