lava-dl
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lava-nc
Deep Learning library for Lava
Bumps [certifi](https://github.com/certifi/python-certifi) from 2023.11.17 to 2024.7.4. Commits bd81538 2024.07.04 (#295) 06a2cbf Bump peter-evans/create-pull-request from 6.0.5 to 6.1.0 (#294) 13bba02 Bump actions/checkout from 4.1.6 to 4.1.7 (#293) e8abcd0 Bump pypa/gh-action-pypi-publish from...
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### User story As a user, I want to be able to save and load dense recurrent networks from lava-dl into lava.
Bumps [urllib3](https://github.com/urllib3/urllib3) from 2.1.0 to 2.2.2. Release notes Sourced from urllib3's releases. 2.2.2 🚀 urllib3 is fundraising for HTTP/2 support urllib3 is raising ~$40,000 USD to release HTTP/2 support and...
When building the network, the neuron parameters that need to be set don't seem to change even after setting different values. For example, for the following network: ``` self.blocks =...
Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 3 to 4.1.7. Release notes Sourced from actions/download-artifact's releases. v4.1.7 What's Changed Update @actions/artifact dependency by @bethanyj28 in actions/download-artifact#325 Full Changelog: https://github.com/actions/download-artifact/compare/v4.1.6...v4.1.7 v4.1.6 What's Changed updating @actions/artifact...
### User story I couldn't find the **training** code for PilotNet-LIF example. I do see a [PilotNet-SDNN training](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/pilotnet/train.ipynb) example (and it's corresponding [netx inference](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/netx/pilotnet_sdnn/run.ipynb)). However, despite seeing a [PilotNet-LIF netx...
### User story As a user, I want to use `bfloat16` data types in `lava-dl`, with compatibility for PyTorch's `torch.amp` (Automatic Mixed Precision), to accelerate inference and training processes while...
I install the latest lava-dl using conda stream. my pytorch is 2.3.1 and torchvision is 0.18.1 which are compatible with lava-dl. when i tested as 'torch.cuda.is_available() it gives True. But...
