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gguf.py : string len uint64_t and n_dims uint32_t

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klosax
2023-08-26 21:53:56 +02:00
committed by GitHub
parent 6d369a1558
commit 09b6da741e
1 changed files with 3 additions and 3 deletions
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6
gguf-py/gguf/gguf.py
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@@ -509,7 +509,7 @@ class GGUFWriter:
self.kv_data += struct.pack("?", val)
elif vtype == GGUFValueType.STRING:
encoded_val = val.encode("utf8") if isinstance(val, str) else val
self.kv_data += struct.pack("<I", len(encoded_val))
self.kv_data += struct.pack("<Q", len(encoded_val))
self.kv_data += encoded_val
elif vtype == GGUFValueType.ARRAY:
ltype = set([GGUFValueType.get_type(item) for item in val])
@@ -529,10 +529,10 @@ class GGUFWriter:
assert raw_dtype is not None or tensor_dtype in (np.float32, np.float16), "Only F32 and F16 tensors are supported for now"
encoded_name = name.encode("utf8")
self.ti_data += struct.pack("<I", len(encoded_name))
self.ti_data += struct.pack("<Q", len(encoded_name))
self.ti_data += encoded_name
n_dims = len(tensor_shape)
self.ti_data += struct.pack("<Q", n_dims)
self.ti_data += struct.pack("<I", n_dims)
for i in range(n_dims):
self.ti_data += struct.pack("<Q", tensor_shape[n_dims - 1 - i])
if raw_dtype is None: