Why can't PyCharm show PyTorch Module object attributes in debug mode

Question

I define a sub-class of PyTorch's Module in PyCharm and create an instance a:

from torch.nn import Module

class AModule(Module):
    def __init__(self):
        self.something = 10

    def __repr__(self):
        return "AModule"

a = AModule()

If I run the debugger and examine a, I can't see its attributes:

I checked and Module is written in Python (as opposed to being implemented in C), so why is that?

Part of this seems to be a problem with pytorch itself, somehow - I tried running the code through pdb and examining dir(a), which threw an error *** torch.nn.modules.module.ModuleAttributeError: 'AModule' object has no attribute '_parameters'. Various other questions I found by googling that error message seem to think that the way you're invoking Module could be to blame - what does your import statement look like, and can you edit that into your question? — Green Cloak Guy
– Green Cloak Guy, Commented Sep 1, 2020 at 3:47
That said, this seems like it might also expose a bug with PyCharm and the engine it's using for debug (it should probably handle a situation like this more gracefully than it seems to be doing). If no one posts a conclusive answer in a reasonable timeframe you might consider submitting a bug report. — Green Cloak Guy
– Green Cloak Guy, Commented Sep 1, 2020 at 3:48
Thanks, you're right that I am using Module incorrectly. I should have invoked Module's init in AModule's init. Feel free to submit an answer to get that credit; otherwise I will do it tomorrow. And yes, I agree PyCharm could handle it more gracefully. — user118967
– user118967, Commented Sep 1, 2020 at 4:04

user118967 · Accepted Answer · 2020-09-03 18:44:21Z

1

This is caused by not having properly initialized Module with a super call in the first like of __init__:

super(AModule, self).__init__()

However, PyCharm could have shown more useful information, so I created this issue.

answered Sep 3, 2020 at 18:44

user118967

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