diff --git a/src/relay/backend/interpreter.cc b/src/relay/backend/interpreter.cc
index 6af12c77be510..9661040eab308 100644
--- a/src/relay/backend/interpreter.cc
+++ b/src/relay/backend/interpreter.cc
@@ -945,13 +945,13 @@ class Interpreter : public ExprFunctor<ObjectRef(const Expr& n)>,
  * rewritten \p mod and target-specific modules containing bindings for all TIR primitive
  * functions needed by the rewritten module.
  */
-IRModule Prepare(IRModule mod, CompilationConfig config) {
+IRModule Prepare(IRModule mod, const CompilationConfig& config) {
   // Run minimal transforms on module to establish invariants needed by interpreter.
   transform::Sequential seq(
       {transform::SimplifyInference(), qnn::transform::Legalize(),
        // Figure out which devices should be used to execute.
        // TODO(mbs): Should ignore all existing annotations when constant folding
-       transform::PlanDevices(std::move(config)),
+       transform::PlanDevices(config),
        // FuseOps will mark wrapped calls to prim-ops with the 'Primitive'
        // attribute.
        transform::FuseOps(/*fuse_opt_level=*/0),
diff --git a/tests/python/frontend/onnx/test_forward.py b/tests/python/frontend/onnx/test_forward.py
index d6f96f0d07960..32df35e146f94 100644
--- a/tests/python/frontend/onnx/test_forward.py
+++ b/tests/python/frontend/onnx/test_forward.py
@@ -6654,99 +6654,4 @@ def verify_LinearRegressor(a_shape, c_shape, i_shape, targets=1, batch=1):
 
 
 if __name__ == "__main__":
-    test_flatten()
-    test_reshape()
-    test_shape()
-    test_expand()
-    test_power()
-    test_squeeze()
-    test_unsqueeze()
-    test_slice()
-    test_floor()
-    test_ceil()
-    test_round()
-    test_isinf()
-    test_isnan()
-    test_clip()
-    test_clip_min_max_as_inputs()
-    test_onehot()
-    test_gemm()
-    test_matmul()
-    test_matmulinteger16()
-    test_gather()
-    test_gatherelements()
-    test_gather_nd()
-    test_scatter()
-    test_lrn()
-    test_instance_norm()
-    test_upsample_nearest()
-    test_upsample_bilinear()
-    test_forward_min()
-    test_forward_max()
-    test_forward_mean()
-    test_forward_hardsigmoid()
-    test_forward_arg_min_max()
-    test_softmax()
-    test_constantofshape()
-    test_all_reduce_funcs()
-    test_pad()
-    test_split()
-    test_binary_ops()
-    test_unary_ops()
-    test_leaky_relu()
-    test_elu()
-    test_selu()
-    test_prelu()
-    test_ThresholdedRelu()
-    test_LogSoftmax()
-    test_resnet()
-    test_inception()
-    test_densenet()
-    test_sign()
-    test_not()
-    test_and()
-    test_tile()
-    test_erf()
-    test_where()
-    test_or()
-    test_depth_to_space()
-    test_space_to_depth()
-    test_batch_norm()
-    test_batch_norm_dynamic_subgraph()
-    test_conv()
-    test_convtranspose()
-    test_unsqueeze_constant()
-    test_pooling()
-    test_lppool()
-    test_lstm()
-    test_gru()
-    test_resize()
-    test_nonzero()
-    test_topk()
-    test_mod()
-    test_xor()
-    test_max_roi_pool()
-    test_roi_align()
-    test_range()
-    test_loop()
-    test_size()
-    test_maxunpool()
-    test_softplus()
-    test_cumsum()
-    test_wrong_input()
-    test_aten()
-    test_index_put()
-    test_reverse_sequence()
-    test_eyelike()
-    test_qlinearconcat()
-    test_qlinearconv()
-    test_random_uniform()
-    test_convinteger()
-    test_batch_matmul()
-    test_use_nt_batch_matmul()
-    test_global_lppool()
-    test_scan()
-    test_random_uniform_like()
-    test_random_normal()
-    test_random_normal_like()
-    test_LinearRegressor()
+    tvm.testing.main()
diff --git a/tests/python/relay/dyn/test_dynamic_op_level2.py b/tests/python/relay/dyn/test_dynamic_op_level2.py
index a017762ce35db..690ddcac8d512 100644
--- a/tests/python/relay/dyn/test_dynamic_op_level2.py
+++ b/tests/python/relay/dyn/test_dynamic_op_level2.py
@@ -208,6 +208,4 @@ def verify_pad_default_fill(dshape, pad_width, dtype):
 
 
 if __name__ == "__main__":
-    test_dyn_pad()
-    test_dyn_upsampling_infer_type_const()
-    test_dyn_upsampling_run()
+    tvm.testing.main()