I have created a NN to train a custom dataset. The code was running so far until today when I am seeing the error. Most solutions found online point to incompatibility issues and suggest uninstalling and reinstalling. However, I am working on google colab, and I am not sure what to do here.
If this issue is less likely due to incompatibility than the class method I wrote, it should not have been working before today as it had been. But, I am confused why the incompatibility is suddenly an issue on the exact same script.
for class, value in enumerate(train_dataloader, 0):
"STATEMENT"
Any operation on my train loader like the one above is causing the following error.
RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/torch/_ops.py in __getattr__(self, op_name)
197 try:
--> 198 op, overload_names = torch._C._jit_get_operation(qualified_op_name)
199 except RuntimeError as e:
RuntimeError: No such operator image::read_file
The above exception was the direct cause of the following exception:
AttributeError Traceback (most recent call last)
9 frames
/usr/local/lib/python3.7/dist-packages/torch/_ops.py in __getattr__(self, op_name)
200 # Turn this into AttributeError so getattr(obj, key, default)
201 # works (this is called by TorchScript with __origin__)
--> 202 raise AttributeError(f"'_OpNamespace' object has no attribute '{op_name}'") from e
203
204 # let the script frontend know that op is identical to the builtin op
AttributeError: '_OpNamespace' object has no attribute 'read_file'