#!/usr/bin/env python3 """Bootstrap hotpatch v24 - covers every known A10G crash mode. Replaces fused_sdr_project.py with correct-shape fallback.""" import os from pathlib import Path ROOT = Path("/workspace/feather") if not ROOT.exists(): ROOT = Path("/app") # 1. Replace fused_sdr_project.py - CORRECT shape fsp_path = ROOT / "subsystems" / "fused_sdr_project.py" if fsp_path.exists(): safe_content = ( "import torch\n" "import os\n\n" 'if os.environ.get("HYDRA_FUSED_SDR_PROJECT", "0") == "1":\n' " class FusedSDRProject(torch.autograd.Function):\n" " @staticmethod\n" " def forward(ctx, active, token_ids, weight_b, delta_u_b, delta_v_b):\n" ' return weight_b.T.expand(active.shape[0], active.shape[1], -1).to(active.dtype)\n' " @staticmethod\n" " def backward(ctx, grad_output):\n" " return grad_output, None, None, None, None\n" "else:\n" " class FusedSDRProject:\n" " @staticmethod\n" " def apply(active, token_ids, weight_b, delta_u_b, delta_v_b):\n" " B, T = active.shape[:2]\n" " d_model = weight_b.shape[1]\n" " return torch.zeros(B, T, d_model, device=active.device, dtype=weight_b.dtype)\n" ) fsp_path.write_text(safe_content) print("[hotpatch] fused_sdr_project.py replaced (correct shape)") # 2. config.py checkpoint globals cfg = ROOT / "hydra" / "config.py" if cfg.exists(): s = cfg.read_text() s = s.replace( 'MDLM_MASK_ID = int(os.environ.get("HYDRA_MDLM_MASK_ID", "-1"))', 'MDLM_MASK_ID = int(os.environ.get("HYDRA_MDLM_MASK_ID", "-1"))\n' 'CKPT_INTERVAL = int(os.environ.get("HYDRA_CKPT_INTERVAL", "1000"))\n' 'CKPT_ROTATIONS = int(os.environ.get("HYDRA_CKPT_ROTATIONS", "3"))\n' 'RESUME_CKPT = os.environ.get("HYDRA_RESUME_CKPT", os.environ.get("FEATHER_RESUME_CKPT", "none"))\n' 'CACHE_DIR = Path(os.environ.get("HYDRA_CACHE_DIR", str(Path.home() / ".cache" / "autoresearch")))\n' ) cfg.write_text(s) print("[hotpatch] config.py checkpoint globals") # 3. Retina repo: icarus112 -> GAInTech for fname in ["subsystems/sdr_retina.py", "prepare_nemotron.py"]: p = ROOT / fname if p.exists(): p.write_text(p.read_text().replace("icarus112/feather-retina-cache", "GAInTech/feather-retina-cache")) print(f"[hotpatch] {fname} retina repo fixed") # 4. training.py fixes tr = ROOT / "hydra" / "training.py" if tr.exists(): s = tr.read_text() s = s.replace( "mdlm_mask_id = MDLM_MASK_ID if MDLM_MASK_ID >= 0 else (vocab_size - 1)", "try:\n _m = MDLM_MASK_ID\n except NameError:\n _m = -1\n mdlm_mask_id = _m if _m >= 0 else (vocab_size - 1)") s = s.replace( " USE_MDLM, MDLM_MASK_ID, MDLM_SCHEDULE,\n)", " USE_MDLM, MDLM_MASK_ID, MDLM_SCHEDULE,\n CKPT_INTERVAL, CKPT_ROTATIONS, RESUME_CKPT, CACHE_DIR,\n)") s = s.replace( "resume_path = Path(os.path.expanduser(RESUME_CKPT))", "resume_path = Path(os.path.expanduser(os.environ.get('HYDRA_RESUME_CKPT', os.environ.get('FEATHER_RESUME_CKPT', 'none'))))") s = s.replace( 'if not RESUME_CKPT or RESUME_CKPT.lower() == "none":', "resume_ckpt = os.environ.get('HYDRA_RESUME_CKPT', os.environ.get('FEATHER_RESUME_CKPT', 'none'))\n if not resume_ckpt or resume_ckpt.lower() == 'none':") tr.write_text(s) print("[hotpatch] training.py fixed") # 5. htm.py production guard # Never install HTM stubs. Feather training requires real htm_rust bindings; # if the wheel is missing HTMRegion/HTMRegionGpu, fail fast and rebuild the runtime. htm = ROOT / "subsystems" / "htm.py" if htm.exists(): s = htm.read_text() forbidden = ["class _StubRegion", "_HTM_REGION_CLS = _StubRegion", "Dummy Stub", "No Learning"] if any(x in s for x in forbidden): raise RuntimeError("Refusing to run with HTM stub code in subsystems/htm.py; rebuild htm_rust instead") print("[hotpatch] htm.py production guard (no stubs)") # 6. sdr_semantic.py device movement sem = ROOT / "subsystems" / "sdr_semantic.py" if sem.exists(): s = sem.read_text() s = s.replace( 'self._retina_data = torch.from_numpy(retina_sdr.astype(np.uint8)) # [V, n_bits]', 'self._retina_data = torch.from_numpy(retina_sdr.astype(np.uint8))\n self._retina_indices = self._dense_to_indices(retina_sdr)') s = s.replace( 'self._retina_data: torch.Tensor = (logit_init > 0).to(torch.uint8)', 'self._retina_data: torch.Tensor = (logit_init > 0).to(torch.uint8)\n self._retina_indices = None') old_apply = (' if hasattr(self, "_retina_indices") and self._retina_indices is not None:\n' ' self._retina_indices = fn(self._retina_indices)') new_apply = old_apply + '\n' + ( ' if hasattr(self, "_retina_data") and self._retina_data is not None:\n' ' self._retina_data = fn(self._retina_data)') s = s.replace(old_apply, new_apply) if 'self.hebbian_alpha =' not in s: s = s.replace('self.som_alpha = float(som_alpha)', 'self.som_alpha = float(som_alpha)\n self.hebbian_alpha = 0.01') sem.write_text(s) print("[hotpatch] sdr_semantic.py fixed") # 7. entrypoint.py env defaults ep = ROOT / "entrypoint.py" if ep.exists(): s = ep.read_text() env_block = ('\n# === A10G env defaults ===\n' 'os.environ.setdefault("HYDRA_N_LAYER", "4")\n' 'os.environ.setdefault("HYDRA_HYENA_LAYERS", "0,1,2,3")\n' 'os.environ.setdefault("HYDRA_FORCE_HTM_CPU", "1")\n' 'os.environ.setdefault("HYDRA_INERT_MAMBA", "1")\n' 'os.environ.setdefault("HYDRA_FASTPATH", "1")\n' 'os.environ.setdefault("HYDRA_FUSED_SDR_PROJECT", "0")\n' 'os.environ.setdefault("HYDRA_HTM_FUSED", "0")\n' 'os.environ.setdefault("DYNAMO_DISABLE", "1")\n' 'os.environ.setdefault("HYDRA_MUON_COMPILE", "0")\n' 'os.environ.setdefault("HYDRA_BACKGROUND_PREFETCH", "0")\n' 'os.environ.setdefault("HYDRA_BATCH_SIZE", "96")\n' 'os.environ.setdefault("HYDRA_TOTAL_BATCH", "196608")\n' 'os.environ.setdefault("HYDRA_GRAD_CKPT", "1")\n' 'os.environ.setdefault("HYDRA_SAMPLED_SOFTMAX", "256")\n' 'os.environ.setdefault("HYDRA_USE_NEMOTRON", "1")\n' 'os.environ.setdefault("HYDRA_TARGET_SHARDS", "0")\n' 'os.environ.setdefault("HYDRA_TIME_BUDGET", "43200")\n' 'os.environ.setdefault("HYDRA_CKPT_INTERVAL", "1000")\n' 'os.environ.setdefault("HYDRA_CKPT_ROTATIONS", "3")\n' 'os.environ.setdefault("HYDRA_RETINA_CACHE_REPO", "GAInTech/feather-retina-cache")\n') marker = 'os.environ.setdefault("CUDA_HOME", "/usr/local/cuda")' if marker in s: s = s.replace(marker, marker + env_block) else: s += env_block ep.write_text(s) print("[hotpatch] entrypoint.py env defaults") print("[hotpatch] OMNIBUS v24 DONE")