recipes/docker-images/dsv41-tf-1017/fetch-sources.sh

#!/usr/bin/env bash
# Fetch the TensorFold 2x 1017 build sources at their pins OUTSIDE the image
# directory, so the image dir stays tiny and its build checksum stays stable.
#
# Pins (upstream `x00byte/DeepSeek-V4.1-Flash-1017-Dual-Spark` @ TF1017_REPO_REV,
# whose own scripts/fetch-sources.sh pins everything else):
#   MiaAI-Lab/DeepSeek-v4.1-Flash-EXL3-2x-DGX-Sparks  6f7d1590...
#   jayleaton/deepseek-v41-tensorfold-spark           2dcce030...
#     └─ vendor/TensorFold                            c4646171...
#
# Usage: fetch-sources.sh [target-dir]   (default /tmp/dsv41-tf-1017-src)
set -euo pipefail

TARGET="${1:-/tmp/dsv41-tf-1017-src}"
REPO=https://github.com/x00byte/DeepSeek-V4.1-Flash-1017-Dual-Spark
REV="${TF1017_REPO_REV:-2df9e96a886d778c3fd5ef9d3c272c3c9972d89d}"

if [[ ! -d "$TARGET/upstream/.git" ]]; then
    mkdir -p "$TARGET"
    git clone "$REPO" "$TARGET/upstream"
fi
git -C "$TARGET/upstream" fetch --depth 1 origin "$REV"
git -C "$TARGET/upstream" checkout --detach "$REV"

# Their fetcher clones the Mia runtime + Jay Leaton's fork (+ the TensorFold
# submodule) at pins and applies the 1017 patches to build/tensorfold. It
# refuses to run twice (build/mia-runtime already exists), so a repeat build
# reuses the prepared tree.
if [[ -d "$TARGET/upstream/build/tensorfold" && -d "$TARGET/upstream/build/mia-runtime" ]]; then
    echo "[fetch-sources] already prepared in $TARGET/upstream/build"
else
    bash "$TARGET/upstream/scripts/fetch-sources.sh"
fi

echo "[fetch-sources] sources ready in $TARGET/upstream/build (tensorfold, mia-runtime)"