runtime\python.exe gui_v1.py
Traceback (most recent call last):
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\compat__init.py", line 42, in tf
from tensorboard.compat import notf # noqa: F401
ImportError: cannot import name 'notf' from 'tensorboard.compat' (E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\compat\init__.py)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "E:\RVC-beta0717\gui_v1.py", line 50, in
from rvc_for_realtime import RVC
File "E:\RVC-beta0717\rvc_for_realtime.py", line 2, in
from fairseq import checkpoint_utils
File "E:\RVC-beta0717\runtime\lib\site-packages\fairseq__init.py", line 21, in
from fairseq.logging import meters, metrics, progress_bar # noqa
File "E:\RVC-beta0717\runtime\lib\site-packages\fairseq\logging\progress_bar.py", line 407, in
from torch.utils.tensorboard import SummaryWriter
File "E:\RVC-beta0717\runtime\lib\site-packages\torch\utils\tensorboard__init.py", line 12, in
from .writer import FileWriter, SummaryWriter # noqa: F401
File "E:\RVC-beta0717\runtime\lib\site-packages\torch\utils\tensorboard\writer.py", line 16, in
from ._embedding import (
File "E:\RVC-beta0717\runtime\lib\site-packages\torch\utils\tensorboard_embedding.py", line 9, in
_HAS_GFILE_JOIN = hasattr(tf.io.gfile, "join")
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\lazy.py", line 65, in getattr
return getattr(load_once(self), attr_name)
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\lazy.py", line 97, in wrapper
cache[arg] = f(arg)
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\lazy.py", line 50, in load_once
module = load_fn()
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\compat__init.py", line 45, in tf
import tensorflow
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\init__.py", line 37, in
from tensorflow.python.tools import module_util as _module_util
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\init.py", line 37, in
from tensorflow.python.eager import context
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\eager\context.py", line 29, in
from tensorflow.core.framework import function_pb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\function_pb2.py", line 16, in
from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attrvalue__pb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\attr_value_pb2.py", line 16, in
from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensorpb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\tensor_pb2.py", line 16, in
from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resourcehandlepb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\resource_handle_pb2.py", line 16, in
from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensorshapepb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "E:\RVC-beta0717\runtime\lib\site-packages\google\protobuf\descriptor.py", line 561, in new
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.If you cannot immediately regenerate your protos, some other possible workarounds are:
Downgrade the protobuf package to 3.20.x or lower.
Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
These are the issues I encountered while running go-realtime-gui.bat and go-web.bat. Has anyone else encountered these problems or knows how to handle them?
showkeyjar
commented
6 months ago
runtime\python.exe gui_v1.py Traceback (most recent call last): File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\compat__init.py", line 42, in tf from tensorboard.compat import notf # noqa: F401 ImportError: cannot import name 'notf' from 'tensorboard.compat' (E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\compat\init__.py)
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "E:\RVC-beta0717\gui_v1.py", line 50, in
from rvc_for_realtime import RVC
File "E:\RVC-beta0717\rvc_for_realtime.py", line 2, in
from fairseq import checkpoint_utils
File "E:\RVC-beta0717\runtime\lib\site-packages\fairseq__init.py", line 21, in
from fairseq.logging import meters, metrics, progress_bar # noqa
File "E:\RVC-beta0717\runtime\lib\site-packages\fairseq\logging\progress_bar.py", line 407, in
from torch.utils.tensorboard import SummaryWriter
File "E:\RVC-beta0717\runtime\lib\site-packages\torch\utils\tensorboard__init.py", line 12, in
from .writer import FileWriter, SummaryWriter # noqa: F401
File "E:\RVC-beta0717\runtime\lib\site-packages\torch\utils\tensorboard\writer.py", line 16, in
from ._embedding import (
File "E:\RVC-beta0717\runtime\lib\site-packages\torch\utils\tensorboard_embedding.py", line 9, in
_HAS_GFILE_JOIN = hasattr(tf.io.gfile, "join")
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\lazy.py", line 65, in getattr
return getattr(load_once(self), attr_name)
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\lazy.py", line 97, in wrapper
cache[arg] = f(arg)
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\lazy.py", line 50, in load_once
module = load_fn()
File "E:\RVC-beta0717\runtime\lib\site-packages\tensorboard\compat__init.py", line 45, in tf
import tensorflow
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\init__.py", line 37, in
from tensorflow.python.tools import module_util as _module_util
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\ init.py", line 37, in
from tensorflow.python.eager import context
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\eager\context.py", line 29, in
from tensorflow.core.framework import function_pb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\function_pb2.py", line 16, in
from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr value__pb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\attr_value_pb2.py", line 16, in
from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor pb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\tensor_pb2.py", line 16, in
from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resourcehandlepb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\resource_handle_pb2.py", line 16, in
from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensorshapepb2
File "C:\Users\lin\AppData\Roaming\Python\Python39\site-packages\tensorflow\core\framework\tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "E:\RVC-beta0717\runtime\lib\site-packages\google\protobuf\descriptor.py", line 561, in new
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.If you cannot immediately regenerate your protos, some other possible workarounds are:
More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
These are the issues I encountered while running go-realtime-gui.bat and go-web.bat. Has anyone else encountered these problems or knows how to handle them?