carpedm20 / carpedm20/DCGAN-tensorflow
ValueError: Cannot feed value of shape (64, 218, 178, 3) for Tensor 'real_images:0', which has shape '(64, 64, 64, 3)'
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Description
I am getting the following error when trying to train the model using the celebA dataset. Load fails to find a checkpoint, which makes sense since there are no checkpoints. Then the following error occurs. I have pasted some of the last output along with the stacktrace. I would appreciate any and all help
```
Total size of variables: 9451908
Total bytes of variables: 37807632
[*] Reading checkpoints... ./out\20200116.161511 - data - celebA -x108.z100.uniform_signed.y64.b64\checkpoint
[*] Failed to find a checkpoint
[!] Load failed...
Traceback (most recent call last):
File "main.py", line 147, in
tf.app.run()
File "C:\Users\...\.conda\envs\py3\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 120, in main
dcgan.train(FLAGS)
File "C:\Users\...\Documents\DCGAN-tensorflow-master\model.py", line 279, in train
feed_dict={ self.inputs: batch_images, self.z: batch_z })
File "C:\Users\...\.conda\envs\py3\lib\site-packages\tensorflow\python\client\session.py", line 929, in run
run_metadata_ptr)
File "C:\Users\...\.conda\envs\py3\lib\site-packages\tensorflow\python\client\session.py", line 1128, in _run
str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (64, 218, 178, 3) for Tensor 'real_images:0', which has shape '(64, 64, 64, 3)'
```
Thank you
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Research direction
Start with main.py and model.py, especially model.py around the training call at line 279, and compare the dataset batch shape in the traceback with the real_images tensor shape. Check how CelebA images are loaded and resized, then run the training path to confirm that the fed batch matches the declared tensor dimensions.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100