Comments (6)
I was trying to work on pretty tensor from your tutorials. I did change the softmax classifier function parameter from class_count to num_classes. but still its not working.
with pt.defaults_scope(activation_fn=tf.nn.relu): y_pred, loss = x_pretty.\ conv2d(kernel=5, depth=16, name='layer_conv1').\ max_pool(kernel=2, stride=2).\ conv2d(kernel=5, depth=36, name='layer_conv2').\ max_pool(kernel=2, stride=2).\ flatten().\ fully_connected(size=128, name='layer_fc1').\ softmax_classifier(num_classes=10, labels=y_true)
Its giving me the following issue:
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@puri3ume Thanks for reporting this. It looks like it is issue #41 that is the problem. I'm just waiting for the fix to PrettyTensor so I can update the tutorials.
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Sorry about the many API changes. I plan to have a more regular release cycle during this time of rapid TF changes and hopefully that will help fix things.
I've tried to document most of it here:
https://github.com/google/prettytensor/blob/master/CHANGELIST.md
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@puri3ume, are you using the latest version? I've updated this recently and scalar_summary should no longer be called anywhere. If an update doesn't fix it, please create a new bug so that I can track it separately.
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Thanks @eiderman @Hvass-Labs . It worked after update and num_class change in softmax .
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Thanks for the quick update, I appreciate it!
The deprecation warnings are now gone and I have updated all my tutorials.
Tiny note: You forgot to update pt.__version__
:-)
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