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# Emergent Communication at Scale
- If running experiments, familiarize yourself with `helper.py` at the very
least as this defines the hyperparameters for each config as provides useful
options like skipping training and doing eval only.
- For changing hyperparameters, please see
`emergent_communication_at_scale/configs/lewis_config.py` for the list of
hyperparameters (and their defaults).
- We are not able to replicate the 50x50 experiment even with an A100 80 GiB
possibly because the original experiment were run on a TPU.
- If using conda/mamba, create the environment with `--channel-priority
flexible`. This is needed due to conda-forge not having all of the necessary
packages and the nvidia channel not specifying dependencies correctly.
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