Created
October 5, 2022 17:58
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pruning code. Dance diffusion All props to Waifu
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import torch | |
def prune_it(p): | |
print(f"prunin' in path: {p}") | |
size_initial = os.path.getsize(p) | |
nsd = dict() | |
sd = torch.load(p, map_location="cpu") | |
print(sd.keys()) | |
for k in sd.keys(): | |
if k != "optimizer_states": | |
nsd[k] = sd[k] | |
else: | |
print(f"removing optimizer states for path {p}") | |
if "global_step" in sd: | |
print(f"This is global step {sd['global_step']}.") | |
sd = nsd['state_dict'].copy() | |
new_sd = dict() | |
for k in sd: | |
new_sd[k] = sd[k].half() | |
nsd['state_dict'] = new_sd | |
fn = f"{os.path.splitext(p)[0]}-pruned.ckpt" | |
print(f"saving pruned checkpoint at: {fn}") | |
torch.save(nsd, fn) | |
newsize = os.path.getsize(fn) | |
MSG = f"New ckpt size: {newsize*1e-9:.2f} GB. " + \ | |
f"Saved {(size_initial - newsize)*1e-9:.2f} GB by removing optimizer states" | |
print(MSG) |
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