[Coverage] ValueError: The meta val for input node max_pool2d_default is of type : <class 'tuple'>

[chohk88]

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/commands/execution_context.py", line 156, in _execute_function
    fire.Fire(func, unwrapped_args)
  File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 141, in Fire
    component_trace = _Fire(component, args, parsed_flag_args, context, name)
  File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 466, in _Fire
    component, remaining_args = _CallAndUpdateTrace(
  File "/usr/local/lib/python3.10/dist-packages/fire/core.py", line 681, in _CallAndUpdateTrace
    component = fn(*varargs, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/commands/correctness/correctness_script.py", line 93, in correctness
    comp_output = runner.infer(sample)
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/runners/base.py", line 325, in infer
    output = self.infer_impl(feed_dict, *args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/runners/torch.py", line 94, in infer_impl
    outputs = self._infer(feed_dict=feed_dict)
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/runners/torch.py", line 135, in _infer_v1
    outputs = self._loaded_model(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1714, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1725, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/eval_frame.py", line 434, in _fn
    return fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1714, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1725, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 1121, in __call__
    return self._torchdynamo_orig_callable(
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 948, in __call__
    result = self._inner_convert(
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 472, in __call__
    return _compile(
  File "/usr/local/lib/python3.10/dist-packages/torch/_utils_internal.py", line 85, in wrapper_function
    return StrobelightCompileTimeProfiler.profile_compile_time(
  File "/usr/local/lib/python3.10/dist-packages/torch/_strobelight/compile_time_profiler.py", line 129, in profile_compile_time
    return func(*args, **kwargs)
  File "/usr/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 817, in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 233, in time_wrapper
    r = func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 636, in compile_inner
    out_code = transform_code_object(code, transform)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/bytecode_transformation.py", line 1270, in transform_code_object
    transformations(instructions, code_options)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 178, in _fn
    return fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/convert_frame.py", line 582, in transform
    tracer.run()
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 2476, in run
    super().run()
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 904, in run
    while self.step():
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 816, in step
    self.dispatch_table[inst.opcode](self, inst)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 2667, in RETURN_VALUE
    self._return(inst)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/symbolic_convert.py", line 2652, in _return
    self.output.compile_subgraph(
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/output_graph.py", line 1102, in compile_subgraph
    self.compile_and_call_fx_graph(tx, list(reversed(stack_values)), root)
  File "/usr/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/output_graph.py", line 1324, in compile_and_call_fx_graph
    compiled_fn = self.call_user_compiler(gm)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/utils.py", line 233, in time_wrapper
    r = func(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/output_graph.py", line 1415, in call_user_compiler
    raise BackendCompilerFailed(self.compiler_fn, e).with_traceback(
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/output_graph.py", line 1396, in call_user_compiler
    compiled_fn = compiler_fn(gm, self.example_inputs())
  File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/repro/after_dynamo.py", line 129, in __call__
    compiled_gm = compiler_fn(gm, example_inputs)
  File "/usr/local/lib/python3.10/dist-packages/torch/__init__.py", line 2223, in __call__
    return self.compiler_fn(model_, inputs_, **self.kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch_tensorrt/dynamo/backend/backends.py", line 44, in torch_tensorrt_backend
    return DEFAULT_BACKEND(gm, sample_inputs, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch_tensorrt/dynamo/backend/backends.py", line 52, in aot_torch_tensorrt_aten_backend
    return _pretraced_backend(gm, sample_inputs, settings)
  File "/usr/local/lib/python3.10/dist-packages/torch_tensorrt/dynamo/backend/backends.py", line 108, in _pretraced_backend
    trt_compiled = compile_module(
  File "/usr/local/lib/python3.10/dist-packages/torch_tensorrt/dynamo/_compiler.py", line 383, in compile_module
    submodule_inputs = partitioning.construct_submodule_inputs(submodule)
  File "/usr/local/lib/python3.10/dist-packages/torch_tensorrt/dynamo/partitioning/common.py", line 111, in construct_submodule_inputs
    raise ValueError(
torch._dynamo.exc.BackendCompilerFailed: backend='torch_tensorrt' raised:
ValueError: The meta val for input node max_pool2d_default is of type : <class 'tuple'>. Supported types: torch.Tensor|FakeTensor|torch.SymInt
Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information
You can suppress this exception and fall back to eager by setting:
    import torch._dynamo
    torch._dynamo.config.suppress_errors = True
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/pipelines/pipeline.py", line 121, in _execute_unit
    command_output = execution_unit.command().run(
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/commands/base.py", line 127, in run
    output = self._run(*args, **_filter_dict_for_func(kwargs, self._run))
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/commands/correctness/correctness.py", line 150, in _run
    context.execute_python_script(
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/commands/execution_context.py", line 142, in execute_python_script
    self._execute_function(func, unwrapped_args, allow_failure, cmd)
  File "/usr/local/lib/python3.10/dist-packages/model_navigator/commands/execution_context.py", line 168, in _execute_function
    raise ModelNavigatorUserInputError(cmd_to_reproduce_error) from e
model_navigator.exceptions.ModelNavigatorUserInputError: Command to reproduce error: /bin/bash torch/reproduce_correctness-torchtensorrtcompilerunner.sh
2024-09-01 15:27:29.211 | INFO     | MainProcess | /usr/local/lib/python3.10/dist-packages/model_navigator/pipelines/pipeline.py:148 - Execution time: 57.80[s]

[chohk88]

This is resolved by the fix in PR #3002 in the file py/torch_tensorrt/dynamo/lowering/passes/replace_max_pool_with_indices.py.