Hello, good morning. I am relatively new to Pytorch but liking it a lot! I have a BERT classification model that I am able to save, load, and run inference on locally, additionally the model is trained using nvidia CUDA GPU. Torch version is 1.10.0+cu102 on Windows 10 64 bit .Up to this point the model loads fine
model.to(device)
model.load_state_dict(torch.load(‘MyModelPath/MyModel15.model’, map_location=torch.device(‘cpu’)))
Here is where the problem starts for me
scripted_model = Torch.Jit.Script(model)
throws this error message
Traceback (most recent call last):
File “C:\Users\javedh\lib\site-packages\IPython\core\interactiveshell.py”, line 3457, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File “”, line 1, in 
scripted_model = torch.jit.script(model)
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit_script.py”, line 1257, in script
return torch.jit._recursive.create_script_module(
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit_recursive.py”, line 451, in create_script_module
return create_script_module_impl(nn_module, concrete_type, stubs_fn)
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit_recursive.py”, line 464, in create_script_module_impl
property_stubs = get_property_stubs(nn_module)
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit_recursive.py”, line 778, in get_property_stubs
properties_asts = get_class_properties(module_ty, self_name=“RecursiveScriptModule”)
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 161, in get_class_properties
getter = get_jit_def(prop[1].fget, f"__{prop[0]}_getter", self_name=self_name)
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 264, in get_jit_def
return build_def(parsed_def.ctx, fn_def, type_line, def_name, self_name=self_name, pdt_arg_types=pdt_arg_types)
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 315, in build_def
build_stmts(ctx, body))
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 137, in build_stmts
stmts = [build_stmt(ctx, s) for s in stmts]
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 137, in 
stmts = [build_stmt(ctx, s) for s in stmts]
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 287, in call
return method(ctx, node)
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 550, in build_Return
return Return(r, None if stmt.value is None else build_expr(ctx, stmt.value))
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 287, in call
return method(ctx, node)
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 702, in build_Call
args = [build_expr(ctx, py_arg) for py_arg in expr.args]
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 702, in 
args = [build_expr(ctx, py_arg) for py_arg in expr.args]
File “C:\Users\javedh\AppData\Roaming\Python\Python39\site-packages\torch\jit\frontend.py”, line 286, in call
raise UnsupportedNodeError(ctx, node)
torch.jit.frontend.UnsupportedNodeError: GeneratorExp aren’t supported:
File “C:\Users\javedh\lib\site-packages\transformers\modeling_utils.py”, line 987
activations".
“”"
return any(hasattr(m, “gradient_checkpointing”) and m.gradient_checkpointing for m in self.modules())
I am not sure how to make sense of it in a meaningful way, it seems like a package support issue, but I could be wrong. I would appreciate any assistance in understanding this issue.
Thank you very much!