Cannot feed value of shape (16, 1024, 6) for Tensor 'Placeholder:0', which has shape '(16, 1024, 3)' (Python 3 Attempt)
EXJUSTICE opened this issue · 1 comments
EXJUSTICE commented
After much debugging I've managed to get the repo to start training in Colab, using TF 1.13 and Python 3. Using the modelnet40 resampled dataset (1.6 GB) from the documentation.
However, the train.py method gives me the error
Traceback (most recent call last):
File "train.py", line 285, in <module>
train()
File "train.py", line 178, in train
train_one_epoch(sess, ops, train_writer)
File "train.py", line 212, in train_one_epoch
ops['train_op'], ops['loss'], ops['pred']], feed_dict=feed_dict)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/client/session.py", line 1128, in _run
str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (16, 1024, 6) for Tensor 'Placeholder:0', which has shape '(16, 1024, 3)'
I believe it may be due to the need to change all of the xrange() methods in provider.py to range(), but I'm not sure how to approach this?
EXJUSTICE commented
The problem was due to using the resampled dataset, which converts the data format into a 6 channel data. The model is configured out of the box for 3 channeled data, hence the problem occurs. Switching to the hdf5 data solves this problem, this was not clear however.