Traceback (most recent call last):
File "E:\Googledownload\RectifiedFlow-main\ImageGeneration\main.py", line 18, in
import run_lib
File "E:\Googledownload\RectifiedFlow-main\ImageGeneration\run_lib.py", line 25, in
import tensorflow as tf
File "D:\conda\lib\site-packages\tensorflow__init.py", line 37, in
from tensorflow.python.tools import module_util as _module_util
File "D:\conda\lib\site-packages\tensorflow\python__init.py", line 37, in
from tensorflow.python.eager import context
File "D:\conda\lib\site-packages\tensorflow\python\eager\context.py", line 28, in
from tensorflow.core.framework import function_pb2
File "D:\conda\lib\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 "D:\conda\lib\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 "D:\conda\lib\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 "D:\conda\lib\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 "D:\conda\lib\site-packages\tensorflow\core\framework\tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "D:\conda\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If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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).
Traceback (most recent call last): File "E:\Googledownload\RectifiedFlow-main\ImageGeneration\main.py", line 18, in
import run_lib
File "E:\Googledownload\RectifiedFlow-main\ImageGeneration\run_lib.py", line 25, in
import tensorflow as tf
File "D:\conda\lib\site-packages\tensorflow__init.py", line 37, in
from tensorflow.python.tools import module_util as _module_util
File "D:\conda\lib\site-packages\tensorflow\python__init.py", line 37, in
from tensorflow.python.eager import context
File "D:\conda\lib\site-packages\tensorflow\python\eager\context.py", line 28, in
from tensorflow.core.framework import function_pb2
File "D:\conda\lib\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 "D:\conda\lib\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 "D:\conda\lib\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 "D:\conda\lib\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 "D:\conda\lib\site-packages\tensorflow\core\framework\tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "D:\conda\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