Swordnael commited on
Commit
68f349e
·
verified ·
1 Parent(s): ce53e8c

Fix safetensors bank validation ordering

Browse files
Files changed (1) hide show
  1. training/fable_router_common.py +23 -5
training/fable_router_common.py CHANGED
@@ -19,6 +19,8 @@ EXPECTED_PROJECTIONS = {
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  "down_proj.weight": (2048, 512),
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  }
21
 
 
 
22
 
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  def sha256(path: Path, chunk_size: int = 8 * 1024 * 1024) -> str:
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  digest = hashlib.sha256()
@@ -109,7 +111,7 @@ def validate_bank_header_entries(
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110
  dtypes: set[str] = set()
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  payload_bytes = 0
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- previous_end = 0
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  for layer, expert, name, expected_shape in expected:
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  entry = tensor_entries[name]
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  shape = tuple(int(item) for item in entry.get("shape", []))
@@ -119,18 +121,34 @@ def validate_bank_header_entries(
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  f"(layer={layer}, expert={expert})"
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  )
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  dtype = str(entry.get("dtype"))
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- if dtype not in {"BF16", "F16"}:
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  raise ValueError(f"{name} has unsupported training dtype {dtype}")
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  offsets = entry.get("data_offsets")
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  if not isinstance(offsets, list) or len(offsets) != 2:
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  raise ValueError(f"{name} has malformed data offsets")
127
  start, end = map(int, offsets)
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- if start < 0 or end <= start or start < previous_end:
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- raise ValueError(f"{name} has invalid or overlapping data offsets {offsets}")
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- previous_end = end
 
 
 
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  payload_bytes += end - start
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  dtypes.add(dtype)
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  if previous_end != file_payload or payload_bytes != file_payload:
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  raise ValueError(
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  f"bank payload coverage mismatch: last={previous_end}, summed={payload_bytes}, "
 
19
  "down_proj.weight": (2048, 512),
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  }
21
 
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+ DTYPE_BYTES = {"BF16": 2, "F16": 2}
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+
24
 
25
  def sha256(path: Path, chunk_size: int = 8 * 1024 * 1024) -> str:
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  digest = hashlib.sha256()
 
111
 
112
  dtypes: set[str] = set()
113
  payload_bytes = 0
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+ intervals: list[tuple[int, int, str]] = []
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  for layer, expert, name, expected_shape in expected:
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  entry = tensor_entries[name]
117
  shape = tuple(int(item) for item in entry.get("shape", []))
 
121
  f"(layer={layer}, expert={expert})"
122
  )
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  dtype = str(entry.get("dtype"))
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+ if dtype not in DTYPE_BYTES:
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  raise ValueError(f"{name} has unsupported training dtype {dtype}")
126
  offsets = entry.get("data_offsets")
127
  if not isinstance(offsets, list) or len(offsets) != 2:
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  raise ValueError(f"{name} has malformed data offsets")
129
  start, end = map(int, offsets)
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+ expected_bytes = expected_shape[0] * expected_shape[1] * DTYPE_BYTES[dtype]
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+ if start < 0 or end <= start or end - start != expected_bytes:
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+ raise ValueError(
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+ f"{name} has invalid data offsets {offsets}; expected {expected_bytes} bytes"
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+ )
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+ intervals.append((start, end, name))
136
  payload_bytes += end - start
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  dtypes.add(dtype)
138
 
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+ # Safetensors does not require tensor entries (or our selected-expert
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+ # manifest) to be ordered by their payload offsets. Validate the physical
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+ # layout independently from semantic tensor identity.
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+ previous_end = 0
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+ for start, end, name in sorted(intervals):
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+ if start != previous_end:
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+ relation = "overlap" if start < previous_end else "gap"
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+ raise ValueError(
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+ f"bank payload has a {relation} before {name}: "
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+ f"expected offset {previous_end}, found {start}"
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+ )
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+ previous_end = end
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+
152
  if previous_end != file_payload or payload_bytes != file_payload:
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  raise ValueError(
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  f"bank payload coverage mismatch: last={previous_end}, summed={payload_bytes}, "