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example-script.sh

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+#!/bin/bash
+#SBATCH -A csc605
+#SBATCH -J ETTh1_inital
+#SBATCH -o logs/etth1/%x-%j.o
+#SBATCH -e logs/etth1/%x-%j.e
+#SBATCH -t 01:45:00
+#SBATCH -p batch
+#SBATCH -N 1
+
+# Only necessary if submitting like: sbatch --export=NONE ... (recommended)
+# Do NOT include this line when submitting without --export=NONE
+unset SLURM_EXPORT_ENV
+
+# Load modules
+module load PrgEnv-gnu/8.5.0
+module load rocm/5.7.1
+module load craype-accel-amd-gfx90a
+module load miniforge3/23.11.0-0
+
+# Activate your environment
+ENV_NAME=time-llm-env
+export PATH="/lustre/orion/csc605/scratch/rolandriachi/$ENV_NAME/bin:$PATH"
+source /autofs/nccs-svm1_sw/frontier/miniforge3/23.11.0/etc/profile.d/conda.sh
+conda activate time-llm-env
+
+export MIOPEN_USER_DB_PATH="$SCRATCH/my-miopen-cache"
+export MIOPEN_CUSTOM_CACHE_DIR=${MIOPEN_USER_DB_PATH}
+rm -rf ${MIOPEN_USER_DB_PATH}
+mkdir -p ${MIOPEN_USER_DB_PATH}
+
+# V --- Time-LLM Config Args --- V
+
+model_name=TimeLLM # Or, DLinear
+train_epochs=50
+learning_rate=0.001
+llama_layers=32
+
+batch_size=16
+d_model=32
+d_ff=128
+
+comment='TimeLLM-ETTh1' # Or, 'DLinear-ETTh1'
+
+export LAUNCHER="accelerate launch \
+    --num_processes 1 \
+    --num_machines 1 \
+    --mixed_precision bf16 \
+    --dynamo_backend no \
+    "
+
+# To resume training, include a --resume flag
+$LAUNCHER run_main.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/ETT-small/ \
+  --data_path ETTh1.csv \
+  --model_id ETTh1_512_96 \
+  --model $model_name \
+  --data ETTh1 \
+  --features M \
+  --seq_len 96 \
+  --label_len 48 \
+  --pred_len 96 \
+  --factor 3 \
+  --enc_in 7 \
+  --dec_in 7 \
+  --c_out 7 \
+  --des 'Exp' \
+  --itr 1 \
+  --d_model $d_model \
+  --d_ff $d_ff \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment \