Spaces:
Runtime error
Runtime error
File size: 2,216 Bytes
2e82449 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
import torch
import os
import json
import safetensors.torch
import backend.misc.checkpoint_pickle
def read_arbitrary_config(directory):
config_path = os.path.join(directory, 'config.json')
if not os.path.exists(config_path):
raise FileNotFoundError(f"No config.json file found in the directory: {directory}")
with open(config_path, 'rt', encoding='utf-8') as file:
config_data = json.load(file)
return config_data
def load_torch_file(ckpt, safe_load=False, device=None):
if device is None:
device = torch.device("cpu")
if ckpt.lower().endswith(".safetensors"):
sd = safetensors.torch.load_file(ckpt, device=device.type)
else:
if safe_load:
if not 'weights_only' in torch.load.__code__.co_varnames:
print("Warning torch.load doesn't support weights_only on this pytorch version, loading unsafely.")
safe_load = False
if safe_load:
pl_sd = torch.load(ckpt, map_location=device, weights_only=True)
else:
pl_sd = torch.load(ckpt, map_location=device, pickle_module=backend.misc.checkpoint_pickle)
if "global_step" in pl_sd:
print(f"Global Step: {pl_sd['global_step']}")
if "state_dict" in pl_sd:
sd = pl_sd["state_dict"]
else:
sd = pl_sd
return sd
def set_attr(obj, attr, value):
attrs = attr.split(".")
for name in attrs[:-1]:
obj = getattr(obj, name)
setattr(obj, attrs[-1], torch.nn.Parameter(value, requires_grad=False))
def set_attr_raw(obj, attr, value):
attrs = attr.split(".")
for name in attrs[:-1]:
obj = getattr(obj, name)
setattr(obj, attrs[-1], value)
def copy_to_param(obj, attr, value):
attrs = attr.split(".")
for name in attrs[:-1]:
obj = getattr(obj, name)
prev = getattr(obj, attrs[-1])
prev.data.copy_(value)
def get_attr(obj, attr):
attrs = attr.split(".")
for name in attrs:
obj = getattr(obj, name)
return obj
def calculate_parameters(sd, prefix=""):
params = 0
for k in sd.keys():
if k.startswith(prefix):
params += sd[k].nelement()
return params
|