New to Spyder as of yesterday actually - but it's working much better than
either Emacs or VS (standard) or VSCode did for ML development.
I'm trying to extend the oxford102 training set (102 UK flowers) to 103 -
adding a new flower - as part of writing an image recognition engine.
Figured out, to some level of approximation, TFRecords so that I can
produce new tdfs compatible data files (locally) with 103 class
directories, meaning with photos of the new flower added.
Can successfully load ds_train, ds_valid, and ds_test but currently I'm
seeing the following error when I run model.fit:
!next
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root
error(s) found.
(0) Invalid argument: Feature: file_name (data type: string) is required
but could not be found.
[[{{node ParseSingleExample/ParseExample/ParseExampleV2}}]]
[[IteratorGetNext]]
(1) Invalid argument: Feature: file_name (data type: string) is required
but could not be found.
[[{{node ParseSingleExample/ParseExample/ParseExampleV2}}]]
[[IteratorGetNext]]
[[IteratorGetNext/_4]]
0 successful operations.
0 derived errors ignored. [Op:__inference_train_function_220631]
The following is where, inside .fit(), things are crashing:
https://imgur.com/a/8ecK8sN
I'm trying to figure out how to debug down to the level where the error is
propagating?
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