bug in clip skip merge?

[s1dlx]

hello!

at this point of the merging procedure

sdweb-merge-block-weighted-gui/scripts/mbw/merge_block_weighted.py

Lines 141 to 162 in 8a62a75

	dprint(f"-- start Stage 2/2 --", verbose)
	for key in tqdm(theta_1.keys(), desc="Stage 2/2"):
	if "model" in key and key not in theta_0:
	if KEY_POSITION_IDS in key:
	if skip_position_ids == 1:
	print(f" modelB: skip 'position_ids' : {theta_0[KEY_POSITION_IDS].dtype}")
	dprint(f"{theta_0[KEY_POSITION_IDS]}", verbose)
	continue
	elif skip_position_ids == 2:
	theta_0[key] = torch.tensor([list(range(77))], dtype=torch.int64)
	print(f" modelB: reset 'position_ids': {theta_0[KEY_POSITION_IDS].dtype}")
	dprint(f"{theta_0[KEY_POSITION_IDS]}", verbose)
	continue
	else:
	print(f" modelB: 'position_ids' key found. do nothing : {skip_position_ids}")
	dprint(f" key : {key}", verbose)
	theta_0.update({key:theta_1[key]})
	if save_as_half:
	theta_0[key] = theta_0[key].half()

shouldn't be theta1 instead of theta0? For example,

    for key in tqdm(theta_1.keys(), desc="Stage 2/2"):
        if "model" in key and key not in theta_1:

            if KEY_POSITION_IDS in key:
                if skip_position_ids == 1:
                    print(f"  modelB: skip 'position_ids' : {theta_1[KEY_POSITION_IDS].dtype}")
                    dprint(f"{theta_1[KEY_POSITION_IDS]}", verbose)
                    continue
                elif skip_position_ids == 2:
                    theta_1[key] = torch.tensor([list(range(77))], dtype=torch.int64)
                    print(f"  modelB: reset 'position_ids': {theta_1[KEY_POSITION_IDS].dtype}")
                    dprint(f"{theta_1[KEY_POSITION_IDS]}", verbose)
                    continue
                else:
                    print(f"  modelB: 'position_ids' key found. do nothing : {skip_position_ids}")