torch.ops.aten.silu_backward can not lowering

[huangmaa]

error:

File "/workspace/torch-mlir/build/tools/torch-mlir/python_packages/torch_mlir/torch_mlir/fx.py", line 82, in export_and_import
    prog = prog.run_decompositions(decomposition_table)
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/export/exported_program.py", line 114, in wrapper
    return fn(*args, **kwargs)
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/export/exported_program.py", line 1003, in run_decompositions
    return _decompose_exported_program(
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/export/exported_program.py", line 617, in _decompose_exported_program
    gm, new_graph_signature = _decompose_and_get_gm_with_new_signature_constants(
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/export/exported_program.py", line 410, in _decompose_and_get_gm_with_new_signature_constants
    gm, graph_signature = aot_export_module(
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1246, in aot_export_module
    fx_g, metadata, in_spec, out_spec = _aot_export_function(
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1480, in _aot_export_function
    fx_g, meta = create_aot_dispatcher_function(
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 522, in create_aot_dispatcher_function
    return _create_aot_dispatcher_function(
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 759, in _create_aot_dispatcher_function
    compiled_fn, fw_metadata = compiler_fn(
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py", line 106, in aot_dispatch_export
    graph, _, _ = aot_dispatch_base_graph(
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py", line 186, in aot_dispatch_base_graph
    copy_count = assert_functional_graph(fw_module.graph)
  File "/workspace/.venv/torch-mlir/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/functional_utils.py", line 431, in assert_functional_graph
    assert (
AssertionError: aot_autograd expected to have an entirely functional graph, but found %fill_ : [num_users=1] = call_function[target=torch.ops.aten.fill_.Scalar](args = (%empty_like, 1), kwargs = {})