Saideep Gona
September 5, 2023
suppressMessages(library(tidyverse))
suppressMessages(library(glue))
PRE = "/Users/saideepgona/Library/CloudStorage/Box-Box/imlab-data/data-Github/Daily-Blog-Sai"
## COPY THE DATE AND SLUG fields FROM THE HEADER
SLUG="ref_to_aracena_mlp" ## copy the slug from the header
bDATE='2023-09-05' ## copy the date from the blog's header here
DATA = glue("{PRE}/{bDATE}-{SLUG}")
#if(!file.exists(DATA)) system(glue::glue("mkdir {DATA}"))
WORK=DATAFor interactive GPU session on beagle:
sinteractive –account=pi-haky –partition=beagle3 –gres=gpu:1 –mem=60GB –time=2:00:00 conda activate /beagle3/haky/users/temi/software/conda_envs/dl-tools export LD_LIBRARY_PATH=\(LD_LIBRARY_PATH:/beagle3/haky/users/temi/software/conda_envs/dl-tools/lib my_ip_address=\)( /sbin/ip route get 8.8.8.8 | awk ’{print \(7;exit}' ) jupyter-notebook --no-browser --ip=\)my_ip_address –port=15005
The Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(
This is caused by not having enough RAM to initially load the model.
CUDA error: uncorrectable ECC error encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
This seems to be a hardware issue. It resolved itself the next day.
---
title: "ref_to_aracena_mlp"
author: "Saideep Gona"
date: "2023-09-05"
format:
html:
code-fold: true
code-summary: "Show the code"
execute:
freeze: true
warning: false
---
```{r}
#| label: Set up box storage directory
suppressMessages(library(tidyverse))
suppressMessages(library(glue))
PRE = "/Users/saideepgona/Library/CloudStorage/Box-Box/imlab-data/data-Github/Daily-Blog-Sai"
## COPY THE DATE AND SLUG fields FROM THE HEADER
SLUG="ref_to_aracena_mlp" ## copy the slug from the header
bDATE='2023-09-05' ## copy the date from the blog's header here
DATA = glue("{PRE}/{bDATE}-{SLUG}")
#if(!file.exists(DATA)) system(glue::glue("mkdir {DATA}"))
WORK=DATA
```
For interactive GPU session on beagle:
sinteractive --account=pi-haky --partition=beagle3 --gres=gpu:1 --mem=60GB --time=2:00:00
conda activate /beagle3/haky/users/temi/software/conda_envs/dl-tools
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/beagle3/haky/users/temi/software/conda_envs/dl-tools/lib
my_ip_address=$( /sbin/ip route get 8.8.8.8 | awk '{print $7;exit}' )
jupyter-notebook --no-browser --ip=$my_ip_address --port=15005
## Bugs
The Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(
This is caused by not having enough RAM to initially load the model.
CUDA error: uncorrectable ECC error encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
This seems to be a hardware issue. It resolved itself the next day.
## Link to notebook
[link to notebook](ref_to_aracena_training_testing.html)