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用这里的模型跑出现这个RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([70, 512]) from checkpoint, the shape in current model is torch.Size([75, 512]). #37
Traceback (most recent call last):
File "G:\PycharmProjects\MockingBird\control\toolbox_init_.py", line 260, in synthesize
specs = self.synthesizer.synthesize_spectrograms(texts, embeds, style_idx=int(self.ui.style_slider.value()), min_stop_token=min_token, steps=int(self.ui.length_slider.value())*200)
File "G:\PycharmProjects\MockingBird\models\synthesizer\inference.py", line 91, in synthesize_spectrograms
self.load()
File "G:\PycharmProjects\MockingBird\models\synthesizer\inference.py", line 69, in load
self._model.load(self.model_fpath, self.device)
File "G:\PycharmProjects\MockingBird\models\synthesizer\models\base.py", line 55, in load
self.load_state_dict(state, strict=False)
File "C:\Users\Admin.conda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Tacotron:
size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([70, 512]) from checkpoint, the shape in current model is torch.Size([75, 512]).
size mismatch for encoder_proj.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([128, 1024]).
size mismatch for decoder.attn_rnn.weight_ih: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([384, 1280]).
size mismatch for decoder.rnn_input.weight: copying a param with shape torch.Size([1024, 640]) from checkpoint, the shape in current model is torch.Size([1024, 1152]).
size mismatch for decoder.stop_proj.weight: copying a param with shape torch.Size([1, 1536]) from checkpoint, the shape in current model is torch.Size([1, 2048]).
QWindowsWindow::setGeometry: Unable to set geometry 1992x1001+0+29 (frame: 2010x1048-9-9) on QWidgetWindow/"UIClassWindow" on "\.\DISPLAY1". Resulting geometry: 1920x1001+0+29 (frame: 1938x1048-9-9) margins: 9, 38, 9, 9 minimum size: 1992x583 MINMAXINFO maxSize=0,0 maxpos=0,0 mintrack=2010,630 maxtrack=0,0)
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
Traceback:
File "C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 552, in _run_script
exec(code, module.dict)
File "C:\Users\Admin\AppData\Local\Temp\tmpsj6156uv.py", line 13, in
render_streamlit_ui()
File "E:\GithubProjects\MockingBird-main\control\mkgui\base\ui\streamlit_ui.py", line 909, in render_streamlit_ui
session_state.output_data = opyrator(input=input_data_obj)
File "E:\GithubProjects\MockingBird-main\control\mkgui\base\core.py", line 203, in call
return self.function(input_obj, **kwargs)
File "E:\GithubProjects\MockingBird-main\control\mkgui\app.py", line 140, in synthesize
specs = current_synt.synthesize_spectrograms(texts, embeds)
File "E:\GithubProjects\MockingBird-main\models\synthesizer\inference.py", line 91, in synthesize_spectrograms
self.load()
File "E:\GithubProjects\MockingBird-main\models\synthesizer\inference.py", line 69, in load
self._model.load(self.model_fpath, self.device)
File "E:\GithubProjects\MockingBird-main\models\synthesizer\models\base.py", line 55, in load
self.load_state_dict(state, strict=False)
File "C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]). Traceback: File "C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 552, in _run_script exec(code, module.dict) File "C:\Users\Admin\AppData\Local\Temp\tmpsj6156uv.py", line 13, in render_streamlit_ui() File "E:\GithubProjects\MockingBird-main\control\mkgui\base\ui\streamlit_ui.py", line 909, in render_streamlit_ui session_state.output_data = opyrator(input=input_data_obj) File "E:\GithubProjects\MockingBird-main\control\mkgui\base\core.py", line 203, in call return self.function(input_obj, **kwargs) File "E:\GithubProjects\MockingBird-main\control\mkgui\app.py", line 140, in synthesize specs = current_synt.synthesize_spectrograms(texts, embeds) File "E:\GithubProjects\MockingBird-main\models\synthesizer\inference.py", line 91, in synthesize_spectrograms self.load() File "E:\GithubProjects\MockingBird-main\models\synthesizer\inference.py", line 69, in load self._model.load(self.model_fpath, self.device) File "E:\GithubProjects\MockingBird-main\models\synthesizer\models\base.py", line 55, in load self.load_state_dict(state, strict=False) File "C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
修改后还是报错:
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
Traceback:
File "/Users/ywy/Library/Python/3.11/lib/python/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 535, in _run_script
exec(code, module.dict)
File "/private/var/folders/53/3r03mt7d4v9bsvhljvnd_zs80000gn/T/tmpo53ek00n.py", line 13, in
render_streamlit_ui()
File "/Users/ywy/MockingBird/control/mkgui/base/ui/streamlit_ui.py", line 909, in render_streamlit_ui
session_state.output_data = opyrator(input=input_data_obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/ywy/MockingBird/control/mkgui/base/core.py", line 203, in call
return self.function(input_obj, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/ywy/MockingBird/control/mkgui/app.py", line 140, in synthesize
specs = current_synt.synthesize_spectrograms(texts, embeds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/ywy/MockingBird/models/synthesizer/inference.py", line 91, in synthesize_spectrograms
self.load()
File "/Users/ywy/MockingBird/models/synthesizer/inference.py", line 69, in load
self._model.load(self.model_fpath, self.device)
File "/Users/ywy/MockingBird/models/synthesizer/models/base.py", line 55, in load
self.load_state_dict(state, strict=False)
File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
Traceback (most recent call last):
File "D:\python\tts\chatgpt\tts\MockingBird-main\control\toolbox_init_.py", line 144, in
func = lambda: self.synthesize() or self.vocode()
^^^^^^^^^^^^^^^^^
File "D:\python\tts\chatgpt\tts\MockingBird-main\control\toolbox_init_.py", line 260, in synthesize
specs = self.synthesizer.synthesize_spectrograms(texts, embeds, style_idx=int(self.ui.style_slider.value()), min_stop_token=min_token, steps=int(self.ui.length_slider.value())*200)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\python\tts\chatgpt\tts\MockingBird-main\models\synthesizer\inference.py", line 91, in synthesize_spectrograms
self.load()
File "D:\python\tts\chatgpt\tts\MockingBird-main\models\synthesizer\inference.py", line 69, in load
self._model.load(self.model_fpath, self.device)
File "D:\python\tts\chatgpt\tts\MockingBird-main\models\synthesizer\models\base.py", line 55, in load
self.load_state_dict(state, strict=False)
File "C:\ProgramData\anaconda3\envs\pytorch\Lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Tacotron:
size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]).
size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
同修改后还是报错
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
同修改后还是报错
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder_proj.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([128, 1024]). size mismatch for decoder.attn_rnn.weight_ih: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([384, 1280]). size mismatch for decoder.rnn_input.weight: copying a param with shape torch.Size([1024, 640]) from checkpoint, the shape in current model is torch.Size([1024, 1152]). size mismatch for decoder.stop_proj.weight: copying a param with shape torch.Size([1, 1536]) from checkpoint, the shape in current model is torch.Size([1, 2048]).
相同问题
: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]). 改了依旧报错，有小伙伴解决的吗？
同样问题。修改后还是不行，有没有解决办法？
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder_proj.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([128, 1024]). size mismatch for decoder.attn_rnn.weight_ih: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([384, 1280]). size mismatch for decoder.rnn_input.weight: copying a param with shape torch.Size([1024, 640]) from checkpoint, the shape in current model is torch.Size([1024, 1152]). size mismatch for decoder.stop_proj.weight: copying a param with shape torch.Size([1, 1536]) from checkpoint, the shape in current model is torch.Size([1, 2048]). 相同问题
Activity
wangkewk commentedon Aug 23, 2021
谁能解决
wangkewk commentedon Aug 23, 2021
babysor commentedon Aug 23, 2021
这个是我最近一个修复导致的不兼容问题， 你可以把文件中：
synthesizer/utils/symbols.py第11行的内容 改为：_characters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz12340!\'(),-.:;? '即可。暂时先不要关闭这个issue吧。我看下遇到的人太多的话我做个兼容
wangkewk commentedon Aug 23, 2021
放心
soft-di commentedon Aug 23, 2021
同样的问题！
FuryMartin commentedon Aug 23, 2021
谢谢，这是有效的。修改过之后，原来的纯杂音变成正常声音了
ALSYLY commentedon Aug 23, 2021
谢谢，问题解决了
sanhuafeiluo commentedon Aug 23, 2021
谢谢，已经解决
vc815 commentedon Aug 24, 2021
同样问题
duolanda commentedon Aug 24, 2021
感谢！问题已顺利解决。
zhangxiaozhier commentedon Aug 25, 2021
一样！
yukikawas commentedon Aug 26, 2021
修改后完全正常，thanks~
60 remaining items
chuck816 commentedon Jul 23, 2023
Traceback (most recent call last):
File "G:\PycharmProjects\MockingBird\control\toolbox_init_.py", line 260, in synthesize
specs = self.synthesizer.synthesize_spectrograms(texts, embeds, style_idx=int(self.ui.style_slider.value()), min_stop_token=min_token, steps=int(self.ui.length_slider.value())*200)
File "G:\PycharmProjects\MockingBird\models\synthesizer\inference.py", line 91, in synthesize_spectrograms
self.load()
File "G:\PycharmProjects\MockingBird\models\synthesizer\inference.py", line 69, in load
self._model.load(self.model_fpath, self.device)
File "G:\PycharmProjects\MockingBird\models\synthesizer\models\base.py", line 55, in load
self.load_state_dict(state, strict=False)
File "C:\Users\Admin.conda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Tacotron:
size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([70, 512]) from checkpoint, the shape in current model is torch.Size([75, 512]).
size mismatch for encoder_proj.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([128, 1024]).
size mismatch for decoder.attn_rnn.weight_ih: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([384, 1280]).
size mismatch for decoder.rnn_input.weight: copying a param with shape torch.Size([1024, 640]) from checkpoint, the shape in current model is torch.Size([1024, 1152]).
size mismatch for decoder.stop_proj.weight: copying a param with shape torch.Size([1, 1536]) from checkpoint, the shape in current model is torch.Size([1, 2048]).
QWindowsWindow::setGeometry: Unable to set geometry 1992x1001+0+29 (frame: 2010x1048-9-9) on QWidgetWindow/"UIClassWindow" on "\.\DISPLAY1". Resulting geometry: 1920x1001+0+29 (frame: 1938x1048-9-9) margins: 9, 38, 9, 9 minimum size: 1992x583 MINMAXINFO maxSize=0,0 maxpos=0,0 mintrack=2010,630 maxtrack=0,0)
你好,除了一个75k steps 的合成器正常运行了，25k 150k 200k 的均出现类似的错误，这个是加载mandarin_200k.pt的合成器时候的报错，到现在还有解决方案吗？谢谢
chuck816 commentedon Jul 23, 2023
上面提供改的所有方案都试过了全部没用,不知道真正导致数据不同步的错误在运行环境哪里
hu1991die commentedon Aug 24, 2023
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
Traceback:
File "C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 552, in _run_script
exec(code, module.dict)
File "C:\Users\Admin\AppData\Local\Temp\tmpsj6156uv.py", line 13, in
render_streamlit_ui()
File "E:\GithubProjects\MockingBird-main\control\mkgui\base\ui\streamlit_ui.py", line 909, in render_streamlit_ui
session_state.output_data = opyrator(input=input_data_obj)
File "E:\GithubProjects\MockingBird-main\control\mkgui\base\core.py", line 203, in call
return self.function(input_obj, **kwargs)
File "E:\GithubProjects\MockingBird-main\control\mkgui\app.py", line 140, in synthesize
specs = current_synt.synthesize_spectrograms(texts, embeds)
File "E:\GithubProjects\MockingBird-main\models\synthesizer\inference.py", line 91, in synthesize_spectrograms
self.load()
File "E:\GithubProjects\MockingBird-main\models\synthesizer\inference.py", line 69, in load
self._model.load(self.model_fpath, self.device)
File "E:\GithubProjects\MockingBird-main\models\synthesizer\models\base.py", line 55, in load
self.load_state_dict(state, strict=False)
File "C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
按照这个修改了MockingBird-main\models\synthesizer\utils目录下面的symbols.py文件里面的第11行代码，但是依旧还是报错，不知道什么原因？
danyow-cheung commentedon Oct 10, 2023
在我实际使用中发现，如果出现尺寸不匹配的问题，有说是输入框文字切割的问题，原始仓库Real-Time-Voice-Cloning也会出现这个问题。
但是多点击几次好像就不报这个错误，但是输出的音频还是以杂音为主
Centralcosmic commentedon Nov 17, 2023
同 不知道解决了吗
SpaceRexxx commentedon Jan 24, 2024
修改后还是报错:
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
Traceback:
File "/Users/ywy/Library/Python/3.11/lib/python/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 535, in _run_script
exec(code, module.dict)
File "/private/var/folders/53/3r03mt7d4v9bsvhljvnd_zs80000gn/T/tmpo53ek00n.py", line 13, in
render_streamlit_ui()
File "/Users/ywy/MockingBird/control/mkgui/base/ui/streamlit_ui.py", line 909, in render_streamlit_ui
session_state.output_data = opyrator(input=input_data_obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/ywy/MockingBird/control/mkgui/base/core.py", line 203, in call
return self.function(input_obj, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/ywy/MockingBird/control/mkgui/app.py", line 140, in synthesize
specs = current_synt.synthesize_spectrograms(texts, embeds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/ywy/MockingBird/models/synthesizer/inference.py", line 91, in synthesize_spectrograms
self.load()
File "/Users/ywy/MockingBird/models/synthesizer/inference.py", line 69, in load
self._model.load(self.model_fpath, self.device)
File "/Users/ywy/MockingBird/models/synthesizer/models/base.py", line 55, in load
self.load_state_dict(state, strict=False)
File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
R4ksh4 commentedon Feb 8, 2024
Traceback (most recent call last):
File "D:\python\tts\chatgpt\tts\MockingBird-main\control\toolbox_init_.py", line 144, in
func = lambda: self.synthesize() or self.vocode()
^^^^^^^^^^^^^^^^^
File "D:\python\tts\chatgpt\tts\MockingBird-main\control\toolbox_init_.py", line 260, in synthesize
specs = self.synthesizer.synthesize_spectrograms(texts, embeds, style_idx=int(self.ui.style_slider.value()), min_stop_token=min_token, steps=int(self.ui.length_slider.value())*200)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\python\tts\chatgpt\tts\MockingBird-main\models\synthesizer\inference.py", line 91, in synthesize_spectrograms
self.load()
File "D:\python\tts\chatgpt\tts\MockingBird-main\models\synthesizer\inference.py", line 69, in load
self._model.load(self.model_fpath, self.device)
File "D:\python\tts\chatgpt\tts\MockingBird-main\models\synthesizer\models\base.py", line 55, in load
self.load_state_dict(state, strict=False)
File "C:\ProgramData\anaconda3\envs\pytorch\Lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for Tacotron:
size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]).
size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
kushr11 commentedon Jun 14, 2024
同修改后还是报错
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
Eouning commentedon Jul 23, 2024
同修改后还是报错
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
JangGouDan commentedon Aug 26, 2024
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder_proj.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([128, 1024]). size mismatch for decoder.attn_rnn.weight_ih: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([384, 1280]). size mismatch for decoder.rnn_input.weight: copying a param with shape torch.Size([1024, 640]) from checkpoint, the shape in current model is torch.Size([1024, 1152]). size mismatch for decoder.stop_proj.weight: copying a param with shape torch.Size([1, 1536]) from checkpoint, the shape in current model is torch.Size([1, 2048]).
相同问题
crush119 commentedon Oct 14, 2024
: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]). 改了依旧报错，有小伙伴解决的吗？
CCbird commentedon Oct 26, 2024
有最新的解决办法吗，改完还是不行，只有0.0.1的可以
iktguodong commentedon Nov 9, 2024
同样问题。修改后还是不行，有没有解决办法？
RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for gst.stl.attention.W_query.weight: copying a param with shape torch.Size([512, 256]) from checkpoint, the shape in current model is torch.Size([512, 512]).
mengfei86 commentedon Mar 7, 2025
同问，请问解决了吗
laofansay commentedon Sep 24, 2025
MockingBird\models\synthesizer\utils\ 这个目录找了半天