IQ.Pilot Release Commit @ 0798119

tinygrad_repo/extra/tinyfs/fetch_raid.py

@@ -0,0 +1,41 @@
+import json, multiprocessing, functools
+from pathlib import Path
+
+from tinygrad.tensor import Tensor
+from tinygrad.helpers import tqdm, getenv
+
+raid_root = Path(getenv("RAID_ROOT", "/raid"))
+
+def fetch_file(item):
+  path, info = item
+  h, size = info["hash"], info["size"]
+
+  path = raid_root / Path(path)
+  path.parent.mkdir(parents=True, exist_ok=True)
+
+  try:
+    pt = Tensor(bytes.fromhex(h), device="CPU").fs_load(size).to(f"disk:{path.as_posix()}").realize()
+  except Exception as e:
+    print(f"error fetching {path}, {h}, {size}: {e}")
+    raise
+
+  pt.uop.buffer.deallocate()
+
+def fetch_mapping(h, l):
+  mapping_tensor = Tensor(bytes.fromhex(h)).fs_load(l).realize()
+  mapping = mapping_tensor.data().tobytes().decode()
+  mapping = json.loads(mapping)
+  mapped_files = mapping.items()
+  return list(mapped_files)
+
+if __name__ == "__main__":
+  h, l = getenv("HASH", "d734f5e3be9f1e9d863bfaa4fc6c1ef2"), getenv("LENGTH", 175866113)
+
+  with multiprocessing.Pool(processes=1) as pool:
+    mapped_files = pool.apply(functools.partial(fetch_mapping, h, l))
+
+  print(f"fetched mapping for {len(mapped_files)} files")
+
+  with multiprocessing.Pool(processes=multiprocessing.cpu_count()) as pool:
+    for _ in tqdm(pool.imap_unordered(fetch_file, mapped_files), total=len(mapped_files)):
+      pass