File size: 1,592 Bytes
b470349 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | #!/usr/bin/env bash
set -euo pipefail
# =========================
# Resolve paths
# =========================
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
EQUIFORMER_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
REPO_ROOT="$(cd "$SCRIPT_DIR/../../.." && pwd)"
TRAIN_SCRIPT="$EQUIFORMER_DIR/training_equiformer.py"
export PYTHONPATH="$REPO_ROOT:${PYTHONPATH:-}"
# =========================
# User settings
# =========================
NAME="equiformer"
MODEL_CONFIG="small" # choices: orig, small
SEED="42"
DATASET="$REPO_ROOT/datasets/h5/train_plus_val.h5"
# =========================
# Detect number of visible GPUs
# =========================
if command -v nvidia-smi &> /dev/null; then
NGPUS=$(nvidia-smi -L | wc -l)
else
echo "ERROR: nvidia-smi not found"
exit 1
fi
if [ "$NGPUS" -eq 0 ]; then
echo "ERROR: No GPUs visible"
exit 1
fi
echo "Found $NGPUS GPU(s)"
echo "CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES:-<not set>}"
echo "SCRIPT_DIR=$SCRIPT_DIR"
echo "EQUIFORMER_DIR=$EQUIFORMER_DIR"
echo "REPO_ROOT=$REPO_ROOT"
echo ""
echo "Run configuration:"
echo " NAME=$NAME"
echo " MODEL_CONFIG=$MODEL_CONFIG"
echo " DATASET=$DATASET"
echo " SEED=$SEED"
echo ""
# =========================
# Optional args
# =========================
EXTRA_ARGS=()
# =========================
# Launch with torchrun
# =========================
torchrun \
--standalone \
--nproc_per_node="$NGPUS" \
"$TRAIN_SCRIPT" \
--name "$NAME" \
--model_config "$MODEL_CONFIG" \
--dataset "$DATASET" \
--seed "$SEED" \
"${EXTRA_ARGS[@]}" |