Gguf dump start data offset via --data-offset and some extra refactor (#8054)

* 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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@ -69,6 +69,7 @@ class GGUFReader:
# I - same as host, S - swapped # I - same as host, S - swapped
byte_order: Literal['I'] | Literal['S'] = 'I' byte_order: Literal['I'] | Literal['S'] = 'I'
alignment: int = GGUF_DEFAULT_ALIGNMENT alignment: int = GGUF_DEFAULT_ALIGNMENT
data_offset: int
# Note: Internal helper, API may change. # Note: Internal helper, API may change.
gguf_scalar_to_np: dict[GGUFValueType, type[np.generic]] = { 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'): def __init__(self, path: os.PathLike[str] | str, mode: Literal['r'] | Literal['r+'] | Literal['c'] = 'r'):
self.data = np.memmap(path, mode = mode) self.data = np.memmap(path, mode = mode)
offs = 0 offs = 0
# Check for GGUF magic
if self._get(offs, np.uint32, override_order = '<')[0] != GGUF_MAGIC: if self._get(offs, np.uint32, override_order = '<')[0] != GGUF_MAGIC:
raise ValueError('GGUF magic invalid') raise ValueError('GGUF magic invalid')
offs += 4 offs += 4
# Check GGUF version
temp_version = self._get(offs, np.uint32) temp_version = self._get(offs, np.uint32)
if temp_version[0] & 65535 == 0: if temp_version[0] & 65535 == 0:
# If we get 0 here that means it's (probably) a GGUF file created for # 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.fields: OrderedDict[str, ReaderField] = OrderedDict()
self.tensors: list[ReaderTensor] = [] self.tensors: list[ReaderTensor] = []
offs += self._push_field(ReaderField(offs, 'GGUF.version', [temp_version], [0], [GGUFValueType.UINT32])) 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) 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.tensor_count', [temp_counts[:1]], [0], [GGUFValueType.UINT64]))
offs += self._push_field(ReaderField(offs, 'GGUF.kv_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 tensor_count, kv_count = temp_counts
offs = self._build_fields(offs, kv_count) 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') new_align = self.fields.get('general.alignment')
if new_align is not None: if new_align is not None:
if new_align.types != [GGUFValueType.UINT32]: if new_align.types != [GGUFValueType.UINT32]:
@ -117,6 +126,7 @@ class GGUFReader:
padding = offs % self.alignment padding = offs % self.alignment
if padding != 0: if padding != 0:
offs += self.alignment - padding offs += self.alignment - padding
self.data_offset = offs
self._build_tensors(offs, tensors_fields) self._build_tensors(offs, tensors_fields)
_DT = TypeVar('_DT', bound = npt.DTypeLike) _DT = TypeVar('_DT', bound = npt.DTypeLike)
@ -193,18 +203,29 @@ class GGUFReader:
# We can't deal with this one. # We can't deal with this one.
raise ValueError('Unknown/unhandled field type {gtype}') 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 offs = orig_offs
# Get Tensor Name
name_len, name_data = self._get_str(offs) name_len, name_data = self._get_str(offs)
offs += int(name_len.nbytes + name_data.nbytes) offs += int(name_len.nbytes + name_data.nbytes)
# Get Tensor Dimensions Count
n_dims = self._get(offs, np.uint32) n_dims = self._get(offs, np.uint32)
offs += int(n_dims.nbytes) offs += int(n_dims.nbytes)
# Get Tensor Dimension Array
dims = self._get(offs, np.uint64, n_dims[0]) dims = self._get(offs, np.uint64, n_dims[0])
offs += int(dims.nbytes) offs += int(dims.nbytes)
# Get Tensor Encoding Scheme Type
raw_dtype = self._get(offs, np.uint32) raw_dtype = self._get(offs, np.uint32)
offs += int(raw_dtype.nbytes) offs += int(raw_dtype.nbytes)
# Get Tensor Offset
offset_tensor = self._get(offs, np.uint64) offset_tensor = self._get(offs, np.uint64)
offs += int(offset_tensor.nbytes) offs += int(offset_tensor.nbytes)
return ReaderField( return ReaderField(
orig_offs, orig_offs,
str(bytes(name_data), encoding = 'utf-8'), str(bytes(name_data), encoding = 'utf-8'),
@ -233,10 +254,10 @@ class GGUFReader:
offs += field_size offs += field_size
return offs 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 = [] tensor_fields = []
for _ in range(count): 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) offs += sum(int(part.nbytes) for part in field.parts)
tensor_fields.append(field) tensor_fields.append(field)
return offs, tensor_fields return offs, tensor_fields

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@ -319,6 +319,27 @@ def dump_markdown_metadata(reader: GGUFReader, args: argparse.Namespace) -> None
markdown_content += "\n" markdown_content += "\n"
markdown_content += "### Tensor Data Offset\n"
markdown_content += '\n'
markdown_content += 'This table contains the offset and data segment relative to start of file\n'
markdown_content += '\n'
tensor_mapping_table: list[dict[str, str | int]] = []
for key, tensor in enumerate(reader.tensors):
data_offset_pretty = '{0:#16x}'.format(tensor.data_offset)
data_size_pretty = '{0:#16x}'.format(tensor.n_bytes)
tensor_mapping_table.append({"t_id":key, "layer_name":tensor.name, "data_offset":data_offset_pretty, "data_size":data_size_pretty})
tensors_mapping_table_header_map = [
{'key_name':'t_id', 'header_name':'T_ID', 'align':'right'},
{'key_name':'layer_name', 'header_name':'Tensor Layer Name', 'align':'left'},
{'key_name':'data_offset', 'header_name':'Data Offset (B)', 'align':'right'},
{'key_name':'data_size', 'header_name':'Data Size (B)', 'align':'right'},
]
markdown_content += markdown_table_with_alignment_support(tensors_mapping_table_header_map, tensor_mapping_table)
markdown_content += "\n"
for group in tensor_prefix_order: for group in tensor_prefix_order:
tensors = tensor_groups[group] tensors = tensor_groups[group]
group_elements = sum(tensor.n_elements for tensor in tensors) group_elements = sum(tensor.n_elements for tensor in tensors)
@ -370,6 +391,8 @@ def main() -> None:
parser.add_argument("--no-tensors", action="store_true", help="Don't dump tensor metadata") parser.add_argument("--no-tensors", action="store_true", help="Don't dump tensor metadata")
parser.add_argument("--json", action="store_true", help="Produce JSON output") parser.add_argument("--json", action="store_true", help="Produce JSON output")
parser.add_argument("--json-array", action="store_true", help="Include full array values in JSON output (long)") parser.add_argument("--json-array", action="store_true", help="Include full array values in JSON output (long)")
parser.add_argument("--data-offset", action="store_true", help="Start of data offset")
parser.add_argument("--data-alignment", action="store_true", help="Data alignment applied globally to data field")
parser.add_argument("--markdown", action="store_true", help="Produce markdown output") parser.add_argument("--markdown", action="store_true", help="Produce markdown output")
parser.add_argument("--verbose", action="store_true", help="increase output verbosity") parser.add_argument("--verbose", action="store_true", help="increase output verbosity")
@ -377,7 +400,7 @@ def main() -> None:
logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO) logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
if not args.json and not args.markdown: if not args.json and not args.markdown and not args.data_offset and not args.data_alignment:
logger.info(f'* Loading: {args.model}') logger.info(f'* Loading: {args.model}')
reader = GGUFReader(args.model, 'r') reader = GGUFReader(args.model, 'r')
@ -386,6 +409,10 @@ def main() -> None:
dump_metadata_json(reader, args) dump_metadata_json(reader, args)
elif args.markdown: elif args.markdown:
dump_markdown_metadata(reader, args) dump_markdown_metadata(reader, args)
elif args.data_offset:
print(reader.data_offset) # noqa: NP100
elif args.data_alignment:
print(reader.alignment) # noqa: NP100
else: else:
dump_metadata(reader, args) dump_metadata(reader, args)