Draft: Setup eval pipeline (#154)

* working on eval pipeline

* scripts for running  eval pipeline

* updated scripts

* ran precommit on scripts

* eval script updated to take .yaml args as input

* removed --remote_submodules tag from env script

---------

Co-authored-by: Bethany Connolly <bethanyconnolly@ip-172-31-32-196.ec2.internal>

Author: bethanyconnolly

experiments/scripts/stability-cluster/env_creation_eval.sh

@@ -0,0 +1,29 @@
+#! /bin/bash
+### This script creates a conda environment for chemnlp
+### The first arg ($1) is the prefix directory where the environment is saved
+### The second arg ($2) is the directory to use when building the environment
+
+## Must already have miniconda installed!
+export CONDA_ENV_PATH=/fsx/proj-chemnlp/$1/conda/env/chemnlp-standard
+export PYTHON_VER=3.8
+CUDA_VERSION=11.7
+CONDA_BASE=$(conda info --base)
+
+## ensure we can use activate syntax in slurm scripts
+source $CONDA_BASE/etc/profile.d/conda.sh
+
+# Create Python environment through conda
+if [ -d "${CONDA_ENV_PATH}" ]; then rm -Rf ${CONDA_ENV_PATH}; fi
+conda create --force --prefix ${CONDA_ENV_PATH} python=${PYTHON_VER} -y
+conda activate ${CONDA_ENV_PATH}
+
+# Python requirements
+## cd into your directory inside of proj-chemnlp
+cd /fsx/proj-chemnlp/$2
+
+## clone + submodules (ok if exists)
+[ ! -d 'chemnlp' ] && git clone --recurse-submodules git@github.com:OpenBioML/chemnlp.git
+
+## install
+conda install pytorch torchvision torchaudio pytorch-cuda=${CUDA_VERSION} -c pytorch -c nvidia --verbose
+pip install -e chemnlp/lm-eval2

experiments/scripts/stability-cluster/run_eval.sh

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+#! /bin/bash
+#SBATCH --job-name="chemtest"
+#SBATCH --nodes=1
+#SBATCH --ntasks-per-node=1
+#SBATCH --cpus-per-task=12
+# #SBATCH --gres=gpu:2
+#SBATCH --output=/fsx/proj-chemnlp/experiments/logs/testing_%j.out
+#SBATCH --error=/fsx/proj-chemnlp/experiments/logs/testing_%j.err
+#SBATCH --open-mode=append
+#SBATCH --account=chemnlp
+#SBATCH --partition=g40
+#SBATCH --exclusive
+# #SBATCH --nodelist=ip-26-0-128-[46,48,85,93-94,101,106,111,123,136,142-143,168-169,175,183,189,211,215,223,231,244],ip-26-0-129-[0-1,4,6,11,45,48,60,81-82,84-85,94,105],ip-26-0-130-[183,193],ip-26-0-131-[4-5,38,51,77,85,89,107-108,111-112,130,143,150-152,168,182-183,188],ip-26-0-132-[130,139,141-142,149,154,184],ip-26-0-133-[159-160,226,242],ip-26-0-134-[0,26-27,43,52,61],ip-26-0-137-[92,94,97,102,115-116,121,124,139,168,175],ip-26-0-139-[191,200,214,216,218,226,229,235,237,241,246],ip-26-0-142-[106,125,144,146,166,184,186,198,204,217,235,237,246,251,254],ip-26-0-143-[30,39,46,53,61,66,145,164,171,175,180,206,225,230,235,250],ip-26-0-129-122,ip-26-0-130-[12-13,19,116,127,132,134,147-148,150,163-164],ip-26-0-131-[239-240,244,247],ip-26-0-132-[7,10,21,37,93,98,107,118],ip-26-0-133-[67,76,81,89,111,115,126,131-133,140,145,148,151],ip-26-0-134-[66,76,83,90-91,105,120,134,141,157,201,219,226-227,248,254],ip-26-0-135-[1,4,22,49,55,64,67,110,118,163,173,184,186,190,192-193,204,208,219,242,255],ip-26-0-136-13,ip-26-0-137-[176,184,196,212,214,240],ip-26-0-138-[3,13,51,62,66,69,71,79,93,101,159,166,171,178,186,188,208,213],ip-26-0-141-[140,146,157,161,166,178,217,228,247],ip-26-0-142-[3,13,21,24,29,33,36,38,41,45,49,67,71,103],ip-26-0-143-[111,121],ip-26-0-128-146,ip-26-0-137-76
+
+### This script runs lm_eval2 experiments
+### The first arg ($1) is the prefix directory where the environment is saved
+### The second arg ($2) is the directory to use when building the environment
+### The third arg ($3) is the name of the eval config.yaml file
+
+set -ex # allow for exiting based on non-0 codes
+
+# set workdir
+CHEMNLP_PATH=/fsx/proj-chemnlp/$1/chemnlp
+
+# create environment
+source $CHEMNLP_PATH/experiments/scripts/stability-cluster/env_creation_eval.sh $1 $2
+
+# trigger run
+cd $CHEMNLP_PATH/lm-eval2
+python main.py $3