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Description
To Reproduce
import tensordict
import torch
import torch.nn as nn
import lightning.pytorch as pl
import lightning.pytorch.utilities.model_summary.model_summary as model_summary
class LM(pl.LightningModule):
def __init__(self):
super().__init__()
self.weights = tensordict.TensorDictParams(
tensordict.TensorDict({'weight': torch.randn(10, 10)})
)
self.example_input_array = torch.randn(2, 10)
def forward(self, x):
weight = self.weights.get('weight')
return torch.matmul(x, weight)
model = LM()
model_summary.summarize(model)Traceback (most recent call last):
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/mwe.py", line 21, in <module>
model_summary.summarize(model)
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/lightning/pytorch/utilities/model_summary/model_summary.py", line 565, in summarize
return ModelSummary(lightning_module, max_depth=max_depth)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/lightning/pytorch/utilities/model_summary/model_summary.py", line 228, in __init__
self._layer_summary = self.summarize()
^^^^^^^^^^^^^^^^
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/lightning/pytorch/utilities/model_summary/model_summary.py", line 328, in summarize
self._forward_example_input()
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/lightning/pytorch/utilities/model_summary/model_summary.py", line 371, in _forward_example_input
model(input_)
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1881, in _call_impl
return inner()
^^^^^^^
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1818, in inner
args_result = hook(self, args)
^^^^^^^^^^^^^^^^
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/torch/utils/module_tracker.py", line 129, in _fw_pre_hook
name = self._get_mod_name(mod)
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/torch/utils/module_tracker.py", line 97, in _get_mod_name
self._get_mod_name(submod)
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/torch/utils/module_tracker.py", line 91, in _get_mod_name
if mod not in self._known_modules:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/weakref.py", line 459, in __contains__
return wr in self.data
^^^^^^^^^^^^^^^
File "/home/egaznep@alabsad.fau.de/Projects/ssmgan-semantic/myenv/lib/python3.12/site-packages/tensordict/base.py", line 324, in __bool__
raise RuntimeError("Converting a tensordict to boolean value is not permitted")
RuntimeError: Converting a tensordict to boolean value is not permittedSystem info
Describe the characteristic of your environment:
- Describe how the library was installed (pip, source, ...)
- Python version
- Versions of any other relevant libraries
import tensordict, numpy, sys, torch
print(tensordict.__version__, numpy.__version__, sys.version, sys.platform, torch.__version__)0.10.0
2.3.5 3.12.12 | packaged by conda-forge | (main, Oct 22 2025, 23:25:55) [GCC 14.3.0] linux 2.9.1+cu129Additional context
Add any other context about the problem here.
Reason and Possible fixes
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- I have read the documentation (required)
- I have provided a minimal working example to reproduce the bug (required)
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bugSomething isn't workingSomething isn't working