peacock-data-public-datasets-idc-mint
/
docker
/bloom13b
/Megatron-DeepSpeed
/tools
/convert_checkpoint
/inspect_checkpoint.py
import torch | |
import sys | |
import os | |
from collections import OrderedDict | |
def dump_data(datum, name_list=[]): | |
if type(datum) in (dict, OrderedDict): | |
for k, v in datum.items(): | |
dump_data(v, name_list+[str(k)]) | |
elif type(datum) in (list, tuple): | |
for v in datum: | |
dump_data(v, name_list) | |
elif torch.is_tensor(datum): | |
prefix = '.'.join(name_list) | |
print(f'[tensor] {prefix} = {datum.shape}') | |
else: | |
#pass | |
prefix = '.'.join(name_list) | |
print(f'[other] {prefix} = {datum}') | |
def main(): | |
if len(sys.argv) < 2: | |
print(f'Usage: {sys.argv[0]} <checkpoint file>') | |
exit(1) | |
ckpt_file = sys.argv[1] | |
if not os.path.isfile(ckpt_file): | |
print(f'{ckpt_file} is not a valid file') | |
exit(1) | |
print(f'loading checkpoint file: {ckpt_file}') | |
sd = torch.load(ckpt_file) | |
dump_data(sd) | |
quit() | |
if __name__ == "__main__": | |
main() | |