Can't extract data_src faceset on DeepFaceLab_NVIDIA_RTX3000_series

[ivand321]

I have an error message when trying to extract faceset.

Error while processing data: Traceback (most recent call last): File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1375, in _do_call return fn(*args) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1360, in _run_fn target_list, run_metadata) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1453, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.NotFoundError: 2 root error(s) found. (0) Not found: No algorithm worked! [[{{node Conv2D}}]] [[Add_29/_141]] (1) Not found: No algorithm worked! [[{{node Conv2D}}]] 0 successful operations. 0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\joblib\SubprocessorBase.py", line 71, in _subprocess_run result = self.process_data (data) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\mainscripts\Extractor.py", line 104, in process_data rects_extractor=self.rects_extractor, File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\mainscripts\Extractor.py", line 145, in rects_stage rects = data.rects = rects_extractor.extract (rotated_image, is_bgr=True) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\facelib\S3FDExtractor.py", line 193, in extract olist = self.model.run ([ input_image[None,...] ] ) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 167, in run return nn.tf_sess.run ( self.run_output, feed_dict=feed_dict) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 968, in run run_metadata_ptr) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1191, in _run feed_dict_tensor, options, run_metadata) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1369, in _do_run run_metadata) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1394, in _do_call raise type(e)(node_def, op, message) # pylint: disable=no-value-for-parameter tensorflow.python.framework.errors_impl.NotFoundError: 2 root error(s) found. (0) Not found: No algorithm worked! [[node Conv2D (defined at C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\layers\Conv2D.py:101) ]] [[Add_29/_141]] (1) Not found: No algorithm worked! [[node Conv2D (defined at C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\layers\Conv2D.py:101) ]] 0 successful operations. 0 derived errors ignored.

Errors may have originated from an input operation. Input Source operations connected to node Conv2D: S3FD/conv1_1/weight/read (defined at C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\layers\Conv2D.py:61) Pad (defined at C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\layers\Conv2D.py:87)

Input Source operations connected to node Conv2D: S3FD/conv1_1/weight/read (defined at C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\layers\Conv2D.py:61) Pad (defined at C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\layers\Conv2D.py:87)

Original stack trace for 'Conv2D': File "", line 1, in File "multiprocessing\spawn.py", line 105, in spawn_main File "multiprocessing\spawn.py", line 118, in _main File "multiprocessing\process.py", line 258, in _bootstrap File "multiprocessing\process.py", line 93, in run File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\joblib\SubprocessorBase.py", line 62, in _subprocess_run self.on_initialize(client_dict) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\mainscripts\Extractor.py", line 73, in on_initialize self.rects_extractor = facelib.S3FDExtractor(place_model_on_cpu=place_model_on_cpu) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\facelib\S3FDExtractor.py", line 170, in init self.model.build_for_run ([ ( tf.float32, nn.get4Dshape (None,None,3) ) ]) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 154, in build_for_run self.run_output = self.call(self.run_placeholders) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in call return self.forward(*args, **kwargs) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\facelib\S3FDExtractor.py", line 93, in forward x = tf.nn.relu(self.conv1_1(x)) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\layers\LayerBase.py", line 14, in call return self.forward(*args, **kwargs) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\leras\layers\Conv2D.py", line 101, in forward x = tf.nn.conv2d(x, weight, strides, 'VALID', dilations=dilations, data_format=nn.data_format) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\util\dispatch.py", line 206, in wrapper return target(*args, **kwargs) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 2397, in conv2d name=name) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 972, in conv2d data_format=data_format, dilations=dilations, name=name) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 750, in _apply_op_helper attrs=attr_protos, op_def=op_def) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 3569, in _create_op_internal op_def=op_def) File "C:\Users\ivand\Downloads\DeepFaceLab\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 2045, in init self._traceback = tf_stack.extract_stack_for_node(self._c_op)

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Images found: 655 Faces detected: 0

I think this error could be caused by Memory allocation failure so it is important to note that I have 16 GB of RAM. Can someone please explain how to fix this issue

[joolstorrentecalo]

Did you resolve the issue yet?

[ivand321]

no, I have no idea what the problem is. However, the issue did not occur when I used the DirectX version. The issue is only present for the RTX 3000 version

[BigSegun]

please which of the DirectX version did you use ?

no, I have no idea what the problem is. However, the issue did not occur when I used the DirectX version. The issue is only present for the RTX 3000 version

please what type of version of DirectX did you use i am also having the same issue

[ivand321]

I think I used 2022 version, I do not know for sure because I deinstalled it because I did not use it anymore. My logic probably was newer is better xd.

[BigSegun]

I think I used 2022 version, I do not know for sure because I deinstalled it because I did not use it anymore. My logic probably was newer is better xd.

Thanks you so much it worked

[BigSegun]

I want to ask a question where you able to TRAIN YOUR SAEHD SUCCESSFULLY ????

[BigSegun]

I’m having an error when training my SAEHD

[BigSegun]

Did you resolve the issue yet?

Hello have you been able to train you SAEHD SUCCESSFULLY ????

[joolstorrentecalo]

Issue solved / already answered (or it seems like user error), please close it.