Comments (2)
Hi @RayleighChen thank you for your interest in Lucent and PyTorch!
As of 10 seconds ago, the direction and direction_neuron objectives have been added to Lucent thanks to @ndey96!
I had intended to reproduce the Building Blocks notebook a while ago, but I was thinking about whether we wanted the svelte components in Lucent or just import them from Lucid in the notebook. Then other stuff caught up and I'm sorry to say I forgot about it. Since you asked and now we have direction objectives, I might look into it again but no promises!
(Note: for the svelte components, I think we should just do an import from lucid.scratch.web.svelte in the colab rather than copying them over into Lucent, since they don't seem to have dependencies on tf)
Let me know if you would like to help reproduce the notebook, contributions are always welcome!
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Hi, @greentfrapp thank you for your reply. In my opinion, the core of the reproduction in the PyTorch version is the consistency of the performance, not the svelte components. Regarding the neuron_groups method, let me try it first.
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Related Issues (20)
- Visuals losing contrast over time HOT 1
- PyTorch 1.7 support HOT 1
- Installing lucent causes pytorch downgrade HOT 1
- Input with more than 3 channels HOT 9
- ValueError in Render HOT 4
- Generating a batch of optimal stimuli, one for each unit in a layer HOT 3
- Grayscale Optimal stimuli HOT 1
- Change torch device
- get raw_activations HOT 2
- pytorch version rollover breaks some version checking logic
- Propagating KeyboardInterrupt in render_vis
- Neuron has grey optimal input
- Low GPU utilization
- activation grid for hierarchical custom model HOT 1
- Lucent handles greyscale images in function view incorrectly
- Code Breaks as GPU Index > 0 HOT 2
- Is there a way to implement Semi-Transparent Patterns available in lucid?
- Is this repository still being maintained or is it dead?
- render_vis becomes slow when used multiple times HOT 3
- show() and export() give different images
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