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feat: support metadata loading in MemoryEfficientSafeOpen

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Kohya S
2025-02-26 20:50:44 +09:00
parent 6e90c0f86c
commit f4a0047865
1 changed files with 7 additions and 6 deletions
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13
library/utils.py
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@@ -261,11 +261,10 @@ def mem_eff_save_file(tensors: Dict[str, torch.Tensor], filename: str, metadata:
class MemoryEfficientSafeOpen:
# does not support metadata loading
def __init__(self, filename):
self.filename = filename
self.header, self.header_size = self._read_header()
self.file = open(filename, "rb")
self.header, self.header_size = self._read_header()
def __enter__(self):
return self
@@ -276,6 +275,9 @@ class MemoryEfficientSafeOpen:
def keys(self):
return [k for k in self.header.keys() if k != "__metadata__"]
def metadata(self) -> Dict[str, str]:
return self.header.get("__metadata__", {})
def get_tensor(self, key):
if key not in self.header:
raise KeyError(f"Tensor '{key}' not found in the file")
@@ -293,10 +295,9 @@ class MemoryEfficientSafeOpen:
return self._deserialize_tensor(tensor_bytes, metadata)
def _read_header(self):
with open(self.filename, "rb") as f:
header_size = struct.unpack("<Q", f.read(8))[0]
header_json = f.read(header_size).decode("utf-8")
return json.loads(header_json), header_size
header_size = struct.unpack("<Q", self.file.read(8))[0]
header_json = self.file.read(header_size).decode("utf-8")
return json.loads(header_json), header_size
def _deserialize_tensor(self, tensor_bytes, metadata):
dtype = self._get_torch_dtype(metadata["dtype"])