Amalsalem
commented
12 months ago pip install --upgrade protobuf
Closed Amalsalem closed 12 months ago
Amalsalem
commented
12 months ago pip install --upgrade protobuf
TypeError Traceback (most recent call last) Cell In[1], line 9 7 sys.path.insert(0, '/home/nfs/rksantini/Dec') 8 #sys.path.insert(0, '/content/drive/My Drive/Brain MRI Images for Brain Tumor Detection/') ----> 9 import tensorflow as tf 10 from tensorflow.keras.optimizers import SGD, Adam 11 import os
File /data/software/miniconda3/lib/python3.9/site-packages/tensorflow/init.py:37 34 import sys as _sys 35 import typing as _typing ---> 37 from tensorflow.python.tools import module_util as _module_util 38 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader 40 # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
File /data/software/miniconda3/lib/python3.9/site-packages/tensorflow/python/init.py:37 29 # We aim to keep this file minimal and ideally remove completely. 30 # If you are adding a new file with @tf_export decorators, 31 # import it in modules_with_exports.py instead. 32 33 # go/tf-wildcard-import 34 # pylint: disable=wildcard-import,g-bad-import-order,g-import-not-at-top 36 from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow ---> 37 from tensorflow.python.eager import context 39 # pylint: enable=wildcard-import 40 41 # Bring in subpackages. 42 from tensorflow.python import data
File /data/software/miniconda3/lib/python3.9/site-packages/tensorflow/python/eager/context.py:28 25 from absl import logging 26 import numpy as np ---> 28 from tensorflow.core.framework import function_pb2 29 from tensorflow.core.protobuf import config_pb2 30 from tensorflow.core.protobuf import coordination_config_pb2
File /data/software/miniconda3/lib/python3.9/site-packages/tensorflow/core/framework/function_pb2.py:16 11 # @@protoc_insertion_point(imports) 13 _sym_db = _symbol_database.Default() ---> 16 from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr_value_pb2 17 from tensorflow.core.framework import node_def_pb2 as tensorflow_dot_core_dot_framework_dot_node_def_pb2 18 from tensorflow.core.framework import op_def_pb2 as tensorflow_dot_core_dot_framework_dot_op_def_pb2
File /data/software/miniconda3/lib/python3.9/site-packages/tensorflow/core/framework/attr_value_pb2.py:16 11 # @@protoc_insertion_point(imports) 13 _sym_db = _symbol_database.Default() ---> 16 from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2 17 from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor_shape_pb2 18 from tensorflow.core.framework import types_pb2 as tensorflow_dot_core_dot_framework_dot_types__pb2
File /data/software/miniconda3/lib/python3.9/site-packages/tensorflow/core/framework/tensor_pb2.py:16 11 # @@protoc_insertion_point(imports) 13 _sym_db = _symbol_database.Default() ---> 16 from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resource_handle_pb2 17 from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor_shape_pb2 18 from tensorflow.core.framework import types_pb2 as tensorflow_dot_core_dot_framework_dot_types__pb2
File /data/software/miniconda3/lib/python3.9/site-packages/tensorflow/core/framework/resource_handle_pb2.py:16 11 # @@protoc_insertion_point(imports) 13 _sym_db = _symbol_database.Default() ---> 16 from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor_shape_pb2 17 from tensorflow.core.framework import types_pb2 as tensorflow_dot_core_dot_framework_dot_types__pb2 20 DESCRIPTOR = _descriptor.FileDescriptor( 21 name='tensorflow/core/framework/resource_handle.proto', 22 package='tensorflow', (...) 26 , 27 dependencies=[tensorflow_dot_core_dot_framework_dot_tensor_shapepb2.DESCRIPTOR,tensorflow_dot_core_dot_framework_dot_types_pb2.DESCRIPTOR,])
File /data/software/miniconda3/lib/python3.9/site-packages/tensorflow/core/framework/tensor_shape_pb2.py:36 13 _sym_db = _symbol_database.Default() 18 DESCRIPTOR = _descriptor.FileDescriptor( 19 name='tensorflow/core/framework/tensor_shape.proto', 20 package='tensorflow', (...) 23 serialized_pb=_b('\n,tensorflow/core/framework/tensor_shape.proto\x12\ntensorflow\"z\n\x10TensorShapeProto\x12-\n\x03\x64im\x18\x02 \x03(\x0b\x32 .tensorflow.TensorShapeProto.Dim\x12\x14\n\x0cunknown_rank\x18\x03 \x01(\x08\x1a!\n\x03\x44im\x12\x0c\n\x04size\x18\x01 \x01(\x03\x12\x0c\n\x04name\x18\x02 \x01(\tB\x87\x01\n\x18org.tensorflow.frameworkB\x11TensorShapeProtosP\x01ZSgithub.com/tensorflow/tensorflow/tensorflow/go/core/framework/tensor_shape_go_proto\xf8\x01\x01\x62\x06proto3') 24 ) 29 _TENSORSHAPEPROTO_DIM = _descriptor.Descriptor( 30 name='Dim', 31 full_name='tensorflow.TensorShapeProto.Dim', 32 filename=None, 33 file=DESCRIPTOR, 34 containing_type=None, 35 fields=[ ---> 36 _descriptor.FieldDescriptor( 37 name='size', full_name='tensorflow.TensorShapeProto.Dim.size', index=0, 38 number=1, type=3, cpp_type=2, label=1, 39 has_default_value=False, default_value=0, 40 message_type=None, enum_type=None, containing_type=None, 41 is_extension=False, extension_scope=None, 42 serialized_options=None, file=DESCRIPTOR), 43 _descriptor.FieldDescriptor( 44 name='name', full_name='tensorflow.TensorShapeProto.Dim.name', index=1, 45 number=2, type=9, cpp_type=9, label=1, 46 has_default_value=False, default_value=_b("").decode('utf-8'), 47 message_type=None, enum_type=None, containing_type=None, 48 is_extension=False, extension_scope=None, 49 serialized_options=None, file=DESCRIPTOR), 50 ], 51 extensions=[ 52 ], 53 nested_types=[], 54 enum_types=[ 55 ], 56 serialized_options=None, 57 is_extendable=False, 58 syntax='proto3', 59 extension_ranges=[], 60 oneofs=[ 61 ], 62 serialized_start=149, 63 serialized_end=182, 64 ) 66 _TENSORSHAPEPROTO = _descriptor.Descriptor( 67 name='TensorShapeProto', 68 full_name='tensorflow.TensorShapeProto', (...) 100 serialized_end=182, 101 ) 103 _TENSORSHAPEPROTO_DIM.containing_type = _TENSORSHAPEPROTO
File ~/.local/lib/python3.9/site-packages/google/protobuf/descriptor.py:561, in FieldDescriptor.new(cls, name, full_name, index, number, type, cpp_type, label, default_value, message_type, enum_type, containing_type, is_extension, extension_scope, options, serialized_options, has_default_value, containing_oneof, json_name, file, create_key) 555 def new(cls, name, full_name, index, number, type, cpp_type, label, 556 default_value, message_type, enum_type, containing_type, 557 is_extension, extension_scope, options=None, 558 serialized_options=None, 559 has_default_value=True, containing_oneof=None, json_name=None, 560 file=None, create_key=None): # pylint: disable=redefined-builtin --> 561 _message.Message._CheckCalledFromGeneratedFile() 562 if is_extension: 563 return _message.default_pool.FindExtensionByName(full_name)
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: