Hi, I'm trying to use fast_DreamBooth.ipynb but when training UNET I get error below.
It seems s/t new, the notebook was running ok two weeks ago or so. Many thanks in advance!
Training the UNet...
Traceback (most recent call last):
File "/usr/local/bin/accelerate", line 5, in
from accelerate.commands.accelerate_cli import main
File "/usr/local/lib/python3.10/dist-packages/accelerate/init.py", line 7, in
from .accelerator import Accelerator
File "/usr/local/lib/python3.10/dist-packages/accelerate/accelerator.py", line 33, in
from .tracking import LOGGER_TYPE_TO_CLASS, GeneralTracker, filter_trackers
File "/usr/local/lib/python3.10/dist-packages/accelerate/tracking.py", line 29, in
from torch.utils import tensorboard
File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/init.py", line 12, in
from .writer import FileWriter, SummaryWriter # noqa: F401
File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/writer.py", line 13, in
from tensorboard.compat.proto import event_pb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/event_pb2.py", line 17, in
from tensorboard.compat.proto import summary_pb2 as tensorboard_dot_compat_dot_proto_dot_summarypb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/summary_pb2.py", line 17, in
from tensorboard.compat.proto import tensor_pb2 as tensorboard_dot_compat_dot_proto_dot_tensorpb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/tensor_pb2.py", line 16, in
from tensorboard.compat.proto import resource_handle_pb2 as tensorboard_dot_compat_dot_proto_dot_resourcehandlepb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/resource_handle_pb2.py", line 16, in
from tensorboard.compat.proto import tensor_shape_pb2 as tensorboard_dot_compat_dot_proto_dot_tensorshapepb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "/usr/local/lib/python3.10/dist-packages/google/protobuf/descriptor.py", line 553, in new
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot 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If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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).
Hi, I'm trying to use fast_DreamBooth.ipynb but when training UNET I get error below. It seems s/t new, the notebook was running ok two weeks ago or so. Many thanks in advance!
Training the UNet... Traceback (most recent call last): File "/usr/local/bin/accelerate", line 5, in
from accelerate.commands.accelerate_cli import main
File "/usr/local/lib/python3.10/dist-packages/accelerate/init.py", line 7, in
from .accelerator import Accelerator
File "/usr/local/lib/python3.10/dist-packages/accelerate/accelerator.py", line 33, in
from .tracking import LOGGER_TYPE_TO_CLASS, GeneralTracker, filter_trackers
File "/usr/local/lib/python3.10/dist-packages/accelerate/tracking.py", line 29, in
from torch.utils import tensorboard
File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/init.py", line 12, in
from .writer import FileWriter, SummaryWriter # noqa: F401
File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/writer.py", line 13, in
from tensorboard.compat.proto import event_pb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/event_pb2.py", line 17, in
from tensorboard.compat.proto import summary_pb2 as tensorboard_dot_compat_dot_proto_dot_summarypb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/summary_pb2.py", line 17, in
from tensorboard.compat.proto import tensor_pb2 as tensorboard_dot_compat_dot_proto_dot_tensor pb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/tensor_pb2.py", line 16, in
from tensorboard.compat.proto import resource_handle_pb2 as tensorboard_dot_compat_dot_proto_dot_resourcehandlepb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/resource_handle_pb2.py", line 16, in
from tensorboard.compat.proto import tensor_shape_pb2 as tensorboard_dot_compat_dot_proto_dot_tensorshapepb2
File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "/usr/local/lib/python3.10/dist-packages/google/protobuf/descriptor.py", line 553, in new
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot 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 Something went wrong