Traceback (most recent call last):


 "/root/anaconda3/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 1276, in restore

{self.saver_def.filename_tensor_name: save_path})


 "/root/anaconda3/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 929, in run

run_metadata_ptr)


 "/root/anaconda3/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1152, in _run

feed_dict_tensor, options, run_metadata)


 "/root/anaconda3/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run

run_metadata)


 "/root/anaconda3/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call

raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [256,256] rhs shape= [1048576,256]

Traceback (most recent call last):


 "D:\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\mainscripts\Converter.py", line 316, in main

debug
= args.get('debug',False)


 "D:\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\joblib\SubprocessorBase.py", line 258, in run

self.on_tick()


 "D:\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\mainscripts\Converter.py", line 216, in on_tick

self.converter.on_host_tick()


 "D:\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\converters\ConverterMasked.py", line 120, in on_host_tick

self.predictor_func_host.obj.process_messages()


 "D:\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\joblib\SubprocessFunctionCaller.py", line 30, in process_messages

result = self.func ( *obj['args'], **obj['kwargs'] )


 "D:\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\models\Model_H64\Model.py", line 124, in predictor_func

x, mx = self.src_view ( [ face[np.newaxis,...] ] )


 "D:\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__

return self._call(inputs)


 "D:\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call

fetched = self._callable_fn(*array_vals)


 "D:\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__

run_metadata_ptr)


 "D:\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__

c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: input depth must be evenly divisible by filter depth: 4 vs 3
