Christopher Olah
Christopher Olah
Hi @Uiuran! It sounds like you want to: (1) Load a model from lucid modelzoo (2) Run inference on some examples. (3) Re-save the model using `tf.train.write_graph` Is that right?...
Hello! Yes, `param_f = lambda: param.image(32) * 2 - 1` should produce a 32x32 parameterization. Those error messages seem to suggest the model wants a 44x44 input. Unfortunately, I'd need...
Hey Shan! It looks like you are loading the graph, but that it's being loaded into the wrong graph. Could you try doing something like this: ```py # Create graph...
Weird. Could you provide the full stack trace? On Sun, Mar 17, 2019 at 6:15 PM Shan Carter wrote: > Thanks! Sadly when I try that sequence it throws a...
Just following up on this, that PR was merged into master. We're now waiting for a new release of Pillow that we can update to -- they seem to have...
Lucid does not support TF 2.0 at present.
Hello! Like any TensorFlow model, you can export keras models for visualization using `Model.save()`. (1) Construct the model in your default graph. (2) Run `Model.suggest_save_args()`. (3) Fill in any arguments...
Wonderful! Excited to hear about your experiences!
This is lucid's Model.save. I've written up instructions on using it here: https://github.com/tensorflow/lucid/wiki/Importing-Models-into-Lucid
`Model.save()` is still present: https://github.com/tensorflow/lucid/blob/master/lucid/modelzoo/vision_base.py#L299 Is it possible you're using a really old version of lucid?