From 6dadbfa0a8bb6b0c7947060774af8aee8ced984a Mon Sep 17 00:00:00 2001 From: Marie Weiel Date: Wed, 13 Mar 2024 12:57:29 +0100 Subject: [PATCH] fix broken link --- docs/tut_multi_rank_worker.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/tut_multi_rank_worker.rst b/docs/tut_multi_rank_worker.rst index 03766d3d..2db2fabc 100644 --- a/docs/tut_multi_rank_worker.rst +++ b/docs/tut_multi_rank_worker.rst @@ -1,4 +1,4 @@ -.. _tut_propulator: +.. _tut_multi_rank_worker: Using Propulate with Multi-Rank Workers ======================================= @@ -8,7 +8,7 @@ Using Propulate with Multi-Rank Workers https://github.com/Helmholtz-AI-Energy/propulate/blob/master/tutorials/multi_rank_workers_example.py In addition to the already explained functionality, ``Propulate`` enables using multi-rank workers for an internally -parallelized evaluation of the loss function. This is useful, e.g., for data-parallel training of neural networks, -where each individual network is trained on multiple GPUs. +parallelized evaluation of the loss function. This is useful for, e.g., data-parallel training of neural networks during +the hyperparameter optimization, where each individual network is trained on multiple GPUs. -A more detailed explanation of the tutorial will be available soon. \ No newline at end of file +A more detailed explanation of the tutorial will be available soon |:rocket:|. \ No newline at end of file