Open andrenguyen opened 4 years ago
Hi! I tried to follow the instructions in the Converting Variational Models to TorchScript notebook with a SVDKL model I trained, but I am running into an Attribute Error.
wrapped_svdkl = MeanStdSVDKLWrapper(model, likelihood) with torch.no_grad(), gpytorch.settings.trace_mode(): pred = wrapped_svdkl(inputs) traced_svdkl = torch.jit.trace(wrapped_svdkl, inputs)
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-53-8bb7201b88f0> in <module> 2 with torch.no_grad(), gpytorch.settings.trace_mode(): 3 pred = wrapped_svdkl(inputs) ----> 4 traced_svdkl = torch.jit.trace(wrapped_svdkl, inputs) ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in trace(func, example_inputs, optimize, check_trace, check_inputs, check_tolerance, _force_outplace, _module_class, _compilation_unit) 873 return trace_module(func, {'forward': example_inputs}, None, 874 check_trace, wrap_check_inputs(check_inputs), --> 875 check_tolerance, _force_outplace, _module_class) 876 877 if (hasattr(func, '__self__') and isinstance(func.__self__, torch.nn.Module) and ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in trace_module(mod, inputs, optimize, check_trace, check_inputs, check_tolerance, _force_outplace, _module_class, _compilation_unit) 1019 register_submods(mod, '__module') 1020 -> 1021 module = make_module(mod, _module_class, _compilation_unit) 1022 1023 for method_name, example_inputs in inputs.items(): ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in make_module(mod, _module_class, _compilation_unit) 718 if _module_class is None: 719 _module_class = TopLevelTracedModule --> 720 return _module_class(mod, _compilation_unit=_compilation_unit) 721 722 def wrap_check_inputs(check_inputs): ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in __init__(self, orig, id_set, _compilation_unit) 1882 1883 for name, submodule in orig._modules.items(): -> 1884 tmp_module._modules[name] = make_module(submodule, TracedModule, _compilation_unit=None) 1885 1886 script_module = torch.jit._recursive.create_script_module(tmp_module, lambda module: (), share_types=False) ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in make_module(mod, _module_class, _compilation_unit) 718 if _module_class is None: 719 _module_class = TopLevelTracedModule --> 720 return _module_class(mod, _compilation_unit=_compilation_unit) 721 722 def wrap_check_inputs(check_inputs): ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in __init__(self, orig, id_set, _compilation_unit) 1882 1883 for name, submodule in orig._modules.items(): -> 1884 tmp_module._modules[name] = make_module(submodule, TracedModule, _compilation_unit=None) 1885 1886 script_module = torch.jit._recursive.create_script_module(tmp_module, lambda module: (), share_types=False) ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in make_module(mod, _module_class, _compilation_unit) 718 if _module_class is None: 719 _module_class = TopLevelTracedModule --> 720 return _module_class(mod, _compilation_unit=_compilation_unit) 721 722 def wrap_check_inputs(check_inputs): ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in __init__(self, orig, id_set, _compilation_unit) 1882 1883 for name, submodule in orig._modules.items(): -> 1884 tmp_module._modules[name] = make_module(submodule, TracedModule, _compilation_unit=None) 1885 1886 script_module = torch.jit._recursive.create_script_module(tmp_module, lambda module: (), share_types=False) ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in make_module(mod, _module_class, _compilation_unit) 718 if _module_class is None: 719 _module_class = TopLevelTracedModule --> 720 return _module_class(mod, _compilation_unit=_compilation_unit) 721 722 def wrap_check_inputs(check_inputs): ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in __init__(self, orig, id_set, _compilation_unit) 1882 1883 for name, submodule in orig._modules.items(): -> 1884 tmp_module._modules[name] = make_module(submodule, TracedModule, _compilation_unit=None) 1885 1886 script_module = torch.jit._recursive.create_script_module(tmp_module, lambda module: (), share_types=False) ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in make_module(mod, _module_class, _compilation_unit) 718 if _module_class is None: 719 _module_class = TopLevelTracedModule --> 720 return _module_class(mod, _compilation_unit=_compilation_unit) 721 722 def wrap_check_inputs(check_inputs): ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in __init__(self, orig, id_set, _compilation_unit) 1882 1883 for name, submodule in orig._modules.items(): -> 1884 tmp_module._modules[name] = make_module(submodule, TracedModule, _compilation_unit=None) 1885 1886 script_module = torch.jit._recursive.create_script_module(tmp_module, lambda module: (), share_types=False) ~/anaconda3/lib/python3.7/site-packages/torch/jit/__init__.py in make_module(mod, _module_class, _compilation_unit) 701 if isinstance(mod, ScriptModule): 702 return mod --> 703 elif torch._jit_internal.module_has_exports(mod): 704 def make_stubs_from_exported_methods(mod): 705 exported = [] ~/anaconda3/lib/python3.7/site-packages/torch/_jit_internal.py in module_has_exports(mod) 436 def module_has_exports(mod): 437 for name in dir(mod): --> 438 item = getattr(mod, name) 439 if callable(item): 440 if get_torchscript_modifier(item) is FunctionModifiers.EXPORT: ~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in __getattr__(self, name) 592 return modules[name] 593 raise AttributeError("'{}' object has no attribute '{}'".format( --> 594 type(self).__name__, name)) 595 596 def __setattr__(self, name, value): AttributeError: 'SmoothedBoxPrior' object has no attribute 'islazy'
A traced model was expected.
Thank you!
@jacobrgardner
🐛 Bug
Hi! I tried to follow the instructions in the Converting Variational Models to TorchScript notebook with a SVDKL model I trained, but I am running into an Attribute Error.
To reproduce
Expected Behavior
A traced model was expected.
System information
Additional context
Thank you!