chore(training): Track training artifacts in git, add idempotent Linux setup/run scripts, and commit run01 results

training/setup_linux.sh

@@ -0,0 +1,42 @@
+#!/usr/bin/env bash
+# Idempotent setup for a Linux training box — safe to re-run at any time;
+# every step checks before it acts. See TRAINING_LINUX.md.
+set -euo pipefail
+
+cd "$(dirname "$0")"
+
+GODOT_VERSION="4.7.1"
+GODOT_BIN="${GODOT_BIN:-$HOME/ai-training/godot/Godot_v${GODOT_VERSION}-stable_linux.x86_64}"
+
+# Godot binary
+if [ ! -x "$GODOT_BIN" ]; then
+    echo "Downloading Godot $GODOT_VERSION to $(dirname "$GODOT_BIN")"
+    mkdir -p "$(dirname "$GODOT_BIN")"
+    wget -q "https://github.com/godotengine/godot/releases/download/${GODOT_VERSION}-stable/Godot_v${GODOT_VERSION}-stable_linux.x86_64.zip" \
+        -O /tmp/godot_dl.zip
+    unzip -o -q /tmp/godot_dl.zip -d "$(dirname "$GODOT_BIN")"
+    rm /tmp/godot_dl.zip
+    chmod +x "$GODOT_BIN"
+fi
+echo "Godot: $GODOT_BIN"
+
+# Python env
+[ -d .venv ] || python3 -m venv .venv
+.venv/bin/pip install -q -r requirements.txt
+
+# CUDA check; pip's default torch is CUDA-enabled on Linux, but fall back to
+# the explicit CUDA index if this box ended up with a CPU-only build
+if [ "$(.venv/bin/python -c 'import torch; print(torch.cuda.is_available())')" != "True" ]; then
+    echo "CUDA not available — reinstalling torch from the CUDA wheel index"
+    .venv/bin/pip install -q torch --index-url https://download.pytorch.org/whl/cu121
+fi
+
+# Import pass — a fresh clone has no .godot/ cache, so class_name scripts
+# (GameMode, Goal, …) aren't registered and scenes fail to load until the
+# project is imported once. Cheap when the cache already exists.
+"$GODOT_BIN" --headless --path ../Game --import
+
+# Headless smoke test — the game must boot without rendering
+"$GODOT_BIN" --headless --path ../Game res://scenes/free_play.tscn --quit-after 300
+
+echo "Setup OK — train with: ./run_training.sh <experiment> [train.py args...]"