Polaris

me too

Have you solved this problem? I am also encountering the same issue.

When I set the batch size to 8, it results in an out-of-memory error.

@pranav-bot Thanks, is the batch size for your experiment set to 8? It only appears to be using 11GB of memory, which is a huge difference compared to the memory...

Here is my config file: ``` import os os.environ["CUDA_VISIBLE_DEVICES"] = "4" import jax.numpy as jnp from tensorneat.pipeline import Pipeline from tensorneat.algorithm.neat import NEAT from tensorneat.genome import DefaultGenome, BiasNode, DefaultMutation from...

Thank you for your reply. To facilitate loading historical best individuals, I modified the `pipeline`'s `analysis` saving method. This should be correct? ``` def analysis(self, state, pop, fitnesses): ....... if...

Thank you very much, but I still have an issue — when generating the formulas for some individuals, an error occurs with `NaN` values. ``` Traceback (most recent call last):...

> [@CLL112](https://github.com/CLL112), DeepSpeed already supports this request. For example, we don't merge weights and biases, which are typically implemented as different param groups. It would be helpful to have a...