Update Feather a10g-large-gt80k training runtime image

Dockerfile

@@ -118,7 +118,5 @@ RUN python -m py_compile hydra/training.py prepare.py train.py && \
 
 RUN export LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH} && \
     echo "building htm_rust GPU kernels for HTM_CUDA_ARCH=${HTM_CUDA_ARCH} TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}" && \
-    # maturin build --release --features gpu --manifest-path htm_rust/Cargo.toml && \
-    # pip install htm_rust/target/wheels/htm_rust-*.whl
 
 CMD ["python", "/app/entrypoint.py"]

entrypoint.py

@@ -203,6 +203,15 @@ def _wait_for_cuda_ready(timeout_s: int = 120) -> None:
 def run_job_mode() -> int:
     os.chdir(REPO_ROOT)
 
+    # Unpack python-only patches from overlay
+    PATCH_ZIP = Path('/workspace/feather/patch.zip')
+    if PATCH_ZIP.exists():
+        print(f'[bootstrap] applying hotpatch from {PATCH_ZIP}...', flush=True)
+        import zipfile
+        with zipfile.ZipFile(PATCH_ZIP, 'r') as zip_ref:
+            zip_ref.extractall('/workspace/feather')
+
+
     # Dynamic live patch from GitHub to bypass Space build errors
     GIT_REF = os.environ.get('FEATHER_GIT_REF')
     if GIT_REF:

patch.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1148711624bd972a937d2cc9835d1406af2ccdb224951de59f07d80b1d81fc88
+size 165518