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CodeFormer does not support mps/metal backend, implemented fallback to cpu backend.

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This commit is contained in:
Elias Oenal 2022-09-11 21:10:21 +02:00
parent cacd14bee8
commit 2920ca7892
1 changed files with 15 additions and 4 deletions
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19
modules/codeformer_model.py
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@ -1,3 +1,6 @@
# Metal backend fixes written and placed
# into the public domain by Elias Oenal <sd@eliasoenal.com>
import os import os
import sys import sys
import traceback import traceback
@ -53,13 +56,19 @@ def setup_codeformer():
if self.net is not None and self.face_helper is not None: if self.net is not None and self.face_helper is not None:
return self.net, self.face_helper return self.net, self.face_helper
net = net_class(dim_embd=512, codebook_size=1024, n_head=8, n_layers=9, connect_list=['32', '64', '128', '256']).to(shared.device) if shared.device.type == 'mps': # CodeFormer currently does not support mps backend
net = net_class(dim_embd=512, codebook_size=1024, n_head=8, n_layers=9, connect_list=['32', '64', '128', '256']).to(torch.device('cpu'))
else:
net = net_class(dim_embd=512, codebook_size=1024, n_head=8, n_layers=9, connect_list=['32', '64', '128', '256']).to(shared.device)
ckpt_path = load_file_from_url(url=pretrain_model_url, model_dir=os.path.join(path, 'weights/CodeFormer'), progress=True) ckpt_path = load_file_from_url(url=pretrain_model_url, model_dir=os.path.join(path, 'weights/CodeFormer'), progress=True)
checkpoint = torch.load(ckpt_path)['params_ema'] checkpoint = torch.load(ckpt_path)['params_ema']
net.load_state_dict(checkpoint) net.load_state_dict(checkpoint)
net.eval() net.eval()
face_helper = FaceRestoreHelper(1, face_size=512, crop_ratio=(1, 1), det_model='retinaface_resnet50', save_ext='png', use_parse=True, device=shared.device) if shared.device.type == 'mps': # CodeFormer currently does not support mps backend
face_helper = FaceRestoreHelper(1, face_size=512, crop_ratio=(1, 1), det_model='retinaface_resnet50', save_ext='png', use_parse=True, device=torch.device('cpu'))
else:
face_helper = FaceRestoreHelper(1, face_size=512, crop_ratio=(1, 1), det_model='retinaface_resnet50', save_ext='png', use_parse=True, device=shared.device)
if not cmd_opts.unload_gfpgan: if not cmd_opts.unload_gfpgan:
self.net = net self.net = net
@ -81,8 +90,10 @@ def setup_codeformer():
for idx, cropped_face in enumerate(face_helper.cropped_faces): for idx, cropped_face in enumerate(face_helper.cropped_faces):
cropped_face_t = img2tensor(cropped_face / 255., bgr2rgb=True, float32=True) cropped_face_t = img2tensor(cropped_face / 255., bgr2rgb=True, float32=True)
normalize(cropped_face_t, (0.5, 0.5, 0.5), (0.5, 0.5, 0.5), inplace=True) normalize(cropped_face_t, (0.5, 0.5, 0.5), (0.5, 0.5, 0.5), inplace=True)
cropped_face_t = cropped_face_t.unsqueeze(0).to(shared.device) if shared.device.type == 'mps': # CodeFormer currently does not support mps backend
cropped_face_t = cropped_face_t.unsqueeze(0).to(torch.device('cpu'))
else:
cropped_face_t = cropped_face_t.unsqueeze(0).to(shared.device)
try: try:
with torch.no_grad(): with torch.no_grad():
output = net(cropped_face_t, w=w if w is not None else shared.opts.code_former_weight, adain=True)[0] output = net(cropped_face_t, w=w if w is not None else shared.opts.code_former_weight, adain=True)[0]