vbatts/llama.cpp
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Update convert_grok.py to use logging module

Browse source
This commit is contained in:
Brian 2024-05-10 01:17:56 +10:00 • committed by Heiner
parent 08427630c3
commit 5bc4f10ee9
1 changed files with 13 additions and 7 deletions
Download patch file Download diff file Expand all files Collapse all files

20
convert_grok.py
View file

@ -34,6 +34,8 @@ if "NO_LOCAL_GGUF" not in os.environ:
import gguf
logger = logging.getLogger("convert_grok")
GGML_QK8_0 = 32
GGML_QK4_0 = 32
GGML_QK4_1 = 32
@ -214,7 +216,7 @@ def dump_state_dict(f, ggml_type, input_dir, config):
tensor_ggml_type,
)
weights[name] = weight, scales
print("Loaded", len(weight_names), "files")
logger.info("Loaded", len(weight_names), "files")
f.write_header_to_file()
f.write_kv_data_to_file()
@ -230,7 +232,7 @@ def dump_state_dict(f, ggml_type, input_dir, config):
_, tensor_ggml_type = get_dtype_and_ggml_type(tensor, ggml_type)
array = maybe_quantize_tensor(tensor, tensor_ggml_type).numpy()
print(
logger.debug(
f"dumping {name}:",
f"{tensor_ggml_type.name}/{array.dtype}, {list(tensor.shape)}, {array.nbytes} bytes",
)
@ -239,12 +241,12 @@ def dump_state_dict(f, ggml_type, input_dir, config):
tensor_info.append((name, list(tensor.shape), tensor_ggml_type.name))
try:
print(tabulate(tensor_info, headers=["name", "shape", "dtype"], tablefmt="psql"))
print(tabulate(tensor_info, headers=["name", "shape", "dtype"], tablefmt="psql")) # noqa: NP100
except NameError:
pass
if len(tensor_info) != len(weight_names):
print("Warning: not all tensors are converted")
logger.warning("Not all tensors are converted")
def from_numpy(array):
@ -377,7 +379,7 @@ def convert_grok(args, vocab, ggml_type):
config.num_experts = len(config.experts)
assert config.num_experts >= 2, "need at least 2 experts"
print("experts to export:", config.experts)
logger.info("experts to export:", config.experts)
f = gguf.GGUFWriter(args.save_path, "grok", endianess=gguf.GGUFEndian.LITTLE)
@ -409,12 +411,12 @@ def convert_grok(args, vocab, ggml_type):
delta = time.time() - start
print(f"grok GGUF model saved to {args.save_path}. Total time {delta:.2f} sec")
logger.info(f"grok GGUF model saved to {args.save_path}. Total time {delta:.2f} sec")
def load_vocab(path):
def load_spm(p):
print(f"Loading vocab file {p}")
logger.info(f"Loading vocab file {p}")
return SentencePieceVocab(p)
# Be extra-friendly and accept either a file or a directory. Also, if it's
@ -445,8 +447,12 @@ def main():
)
parser.add_argument("--vocab_dir", type=str, default="")
parser.add_argument("--experts", type=str, default="")
parser.add_argument("--verbose", action="store_true", help="increase output verbosity")
args = parser.parse_args()
logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
vocab = load_vocab(
pathlib.Path(args.vocab_dir) if args.vocab_dir else pathlib.Path(args.input_dir)
)