Comments (1)
When I try to install the lava-dl from poetry, I met a problem.
There is no more response after running the command "poetry install" except the hint "Installing dependencies from lock file".
@porcupine28 installing using proxychains has not been tested, is not supported and may not work depending on the proxies used and other config in the environment. poetry will try to install lava-nc using a git clone, which may fail using proxychains.
proxychains might work in the future when our releases rely on pypi packages for lava dependencies.
You could try changing lava-nc dependency to the artifact after downloading it (see poetry docs for syntax) and try a 'poetry update' then 'poetry install' in your env.
If you can install lava-dl in an environment where you have proxies configured for git or without proxychains the install should work. The install is tested multiple times before release in non-proxied environments. It is tested in a git config proxy env.
But we can't give you much more advice using proxychains for install as this will never be a tested or supported use.
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Related Issues (20)
- README is missing git-lfs checkouts
- pytest not running HOT 4
- Errors with fill_tensor and tensor_to_event
- How to approximate the non-linear activation function in ANN using lava.dl to extend its application? HOT 3
- can not use cuda while installing through conda HOT 2
- tests/lava/lib/dl/slayer/test_tensor_to_event_torch.py does not match source module hierarchy
- Some questions about converting lava-dl into lava. HOT 1
- NetX runs into errors if network delays are outside permissible range
- Support for NIR <> lava-dl
- Pytorch 2+ HOT 2
- cuba.Affine layer cannot be exported to hdf5
- Deactivate utils.LearningStats "accuracy" display during utils.Assistant.train() using flag HOT 3
- Use streaming Figure and Plots to improve PilotNet performance
- Netx should not set max delay when creating Dense block HOT 1
- Incorporate Spike Based Multi Label Classification (Spikemoid) Loss
- Binning Summation HOT 2
- NetX should allow user to utilize lava Sparse and DelaySparse synapses when converting SNNs from lava-dl to lava. HOT 2
- YOLO SDNN training
- Set user defined `spike_exp` level globally when creating netx network
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