vbatts/llama.cpp
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Gguf dump start data offset via --data-offset and some extra refactor (#8054)

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* gguf-dump: add --data-offset

* gguf-dump: add tensor data offset table

* gguf-dump: refactor GGUFReader for clarity

* gguf-dump: add --data-alignment

* gguf-dump.py: Rename variables and adjust comments

start_data_offset --> data_offset

_build_tensors_info_fields --> _build_tensor_info
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Brian 2024-06-25 22:03:25 +10:00 • committed by GitHub
parent 49c03c79cd
commit c8ad35955a
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2 changed files with 53 additions and 5 deletions
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29
gguf-py/gguf/gguf_reader.py
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@ -69,6 +69,7 @@ class GGUFReader:
# I - same as host, S - swapped
byte_order: Literal['I'] | Literal['S'] = 'I'
alignment: int = GGUF_DEFAULT_ALIGNMENT
data_offset: int
# Note: Internal helper, API may change.
gguf_scalar_to_np: dict[GGUFValueType, type[np.generic]] = {
@ -88,9 +89,13 @@ class GGUFReader:
def __init__(self, path: os.PathLike[str] | str, mode: Literal['r'] | Literal['r+'] | Literal['c'] = 'r'):
self.data = np.memmap(path, mode = mode)
offs = 0
# Check for GGUF magic
if self._get(offs, np.uint32, override_order = '<')[0] != GGUF_MAGIC:
raise ValueError('GGUF magic invalid')
offs += 4
# Check GGUF version
temp_version = self._get(offs, np.uint32)
if temp_version[0] & 65535 == 0:
# If we get 0 here that means it's (probably) a GGUF file created for
@ -103,12 +108,16 @@ class GGUFReader:
self.fields: OrderedDict[str, ReaderField] = OrderedDict()
self.tensors: list[ReaderTensor] = []
offs += self._push_field(ReaderField(offs, 'GGUF.version', [temp_version], [0], [GGUFValueType.UINT32]))
# Check tensor count and kv count
temp_counts = self._get(offs, np.uint64, 2)
offs += self._push_field(ReaderField(offs, 'GGUF.tensor_count', [temp_counts[:1]], [0], [GGUFValueType.UINT64]))
offs += self._push_field(ReaderField(offs, 'GGUF.kv_count', [temp_counts[1:]], [0], [GGUFValueType.UINT64]))
tensor_count, kv_count = temp_counts
offs = self._build_fields(offs, kv_count)
offs, tensors_fields = self._build_tensors_fields(offs, tensor_count)
# Build Tensor Info Fields
offs, tensors_fields = self._build_tensor_info(offs, tensor_count)
new_align = self.fields.get('general.alignment')
if new_align is not None:
if new_align.types != [GGUFValueType.UINT32]:
@ -117,6 +126,7 @@ class GGUFReader:
padding = offs % self.alignment
if padding != 0:
offs += self.alignment - padding
self.data_offset = offs
self._build_tensors(offs, tensors_fields)
_DT = TypeVar('_DT', bound = npt.DTypeLike)
@ -193,18 +203,29 @@ class GGUFReader:
# We can't deal with this one.
raise ValueError('Unknown/unhandled field type {gtype}')
def _get_tensor(self, orig_offs: int) -> ReaderField:
def _get_tensor_info_field(self, orig_offs: int) -> ReaderField:
offs = orig_offs
# Get Tensor Name
name_len, name_data = self._get_str(offs)
offs += int(name_len.nbytes + name_data.nbytes)
# Get Tensor Dimensions Count
n_dims = self._get(offs, np.uint32)
offs += int(n_dims.nbytes)
# Get Tensor Dimension Array
dims = self._get(offs, np.uint64, n_dims[0])
offs += int(dims.nbytes)
# Get Tensor Encoding Scheme Type
raw_dtype = self._get(offs, np.uint32)
offs += int(raw_dtype.nbytes)
# Get Tensor Offset
offset_tensor = self._get(offs, np.uint64)
offs += int(offset_tensor.nbytes)
return ReaderField(
orig_offs,
str(bytes(name_data), encoding = 'utf-8'),
@ -233,10 +254,10 @@ class GGUFReader:
offs += field_size
return offs
def _build_tensors_fields(self, offs: int, count: int) -> tuple[int, list[ReaderField]]:
def _build_tensor_info(self, offs: int, count: int) -> tuple[int, list[ReaderField]]:
tensor_fields = []
for _ in range(count):
field = self._get_tensor(offs)
field = self._get_tensor_info_field(offs)
offs += sum(int(part.nbytes) for part in field.parts)
tensor_fields.append(field)
return offs, tensor_fields