Comments (5)
bamsumit
commented on June 25, 2024
Hi @ahmetakman it looks like you are using the latest version of lava-dl but not the latest lava repo. Can you update your lava to the latest version from git and try it again.
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ahmetakman
commented on June 25, 2024
I am using 0.2.0 for lava-nc and 0.1.1 for lava-dl. I have struggled to install following the normal install procedure from git directly (As can be observed from the issues I have opened). So, I had to install the from binary by release version. I assume you mean the repository update as the latest version. I will try to install them again from scratch.
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ahmetakman
commented on June 25, 2024
Unit tests seem okay in the new version. Thanks.
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bamsumit
commented on June 25, 2024
Great. Can we close this issue then?
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ahmetakman
commented on June 25, 2024
Yeah, of course.
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Related Issues (20)
- YOLO SDNN training
- Set user defined `spike_exp` level globally when creating netx network
- Support verification and optimization of YoloKP on Loihi2 HOT 2
- Compiled netx hdf5 models cannot be serialized. HOT 1
- YOLO SDNN GPU inference notebook is too big to render on github
- Unable to reproduce Slayer NMNIST Test Accuracy HOT 1
- lava.lib.dl.netx.hdf5 imports Convolutional Layers incorrectly HOT 3
- YOLO SDNN inference
- SDNNs and SNNs
- error while using Recurrent block in lava-dl
- TypeError when using adrf neurons HOT 1
- Regression Tutorial using slayer HOT 2
- RuntimeError when using Recurrent blocks HOT 1
- When using slayer.block.cuba.Pool, input-output dimensions are not as expected. HOT 1
- next input block does not connect input port to neuron input. HOT 2
- Allow slayer norms to use parameters HOT 2
- Making the decay parameters(dv,du) learnable and separate du, dv for different layers? HOT 2
- optimize_weight_bits is increasing the weight matrix scale? HOT 1
- Netx DelaySynapse Bug: Weight_exp is None
- Neuron Parameters remain unchanged after setting them and also after training them.
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