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This is not a bug, but rather a feature request: even when pre-compiled artifacts are available, loading a model on neuron cores can take a very long time.
This seems especially true when loading a…
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Hi Christian,
I'm a PhD student from the University of Auckland researching ML-based methods for detecting EMRI signals. I've been looking for a fast way to calculate EMRI SNRs so as to get EMRI pa…
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Aspect | Detail
--------------|--------------
Summary | Calculate LFPs from NEST version of the Allen model of mouse V1 through the Kernel Method
Task Area | Co-simulation of LF…
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1. **Lab Name**: Neuron Simulation Virtual Lab
2. **List of Experiments and Repositories**:
- Modeling resting potentials in Neurons
https://github.com/virtual-labs/exp-modeling-resti…
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### Your current environment
```text
PyTorch version: 2.3.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.3 LTS (x86_64)
GCC …
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![1](https://user-images.githubusercontent.com/31612730/78463010-e6ecd080-768c-11ea-9e62-b62480041af2.png)
* Import the Sequential model and Dense layer
from keras.models import Sequential
from k…
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Converting a model to neuron takes a lot of time, and even though the compilation logs indicate that something is going on, the user doesn't have any clue of how long it will take.
**It would be gr…
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We are relying on the ModelDB API to downloads models. However we would be able to leverage better the GH API if models were synced between GH and MDB. What is needed?
- [x] Sync all ModelDB models…
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python convnet.py --data-path ~/data/8_imagenet/ilsvrc2012/batchesx --train-range 0-417 --test-range 1000-1016 --save-path
~/data/8_imagenet/ilsvrc2012/models/ --epochs 90 --layer-def layers/layers-…
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I ran `RUN_SLOW=true COVERAGE=high RUN_TINY=true USE_VENV=false pytest tests/test_examples.py -v` on neuron 2.15 and ON 2.15 and ran into 2 errors.
1. llama and mistral models both hang. I left …