Protobuf error while trying to include c++ classes in python-tensorflow on aarch64 Architecture2019 Community Moderator Electionlibprotobuf FATAL Error seen even though I have correct libprotoc version installedConflict Protobuf version when using Opencv and Tensorflow c++OpenCV 3.2 includes libmir* and protobuf 2.6 which is conflicting with protobuf 3.1upgrading protobuf tensorflow on jetson tx2Tensorflow Installation Succeeded but Not Workingtensorflow linker_flag in CROSSTOOLProtobuf version mismatchprotobuf Fatal version mismatch after importing moduletensorflow on tx2 protobufVersion verification error for protobuff in tensorflow
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Protobuf error while trying to include c++ classes in python-tensorflow on aarch64 Architecture
2019 Community Moderator Electionlibprotobuf FATAL Error seen even though I have correct libprotoc version installedConflict Protobuf version when using Opencv and Tensorflow c++OpenCV 3.2 includes libmir* and protobuf 2.6 which is conflicting with protobuf 3.1upgrading protobuf tensorflow on jetson tx2Tensorflow Installation Succeeded but Not Workingtensorflow linker_flag in CROSSTOOLProtobuf version mismatchprotobuf Fatal version mismatch after importing moduletensorflow on tx2 protobufVersion verification error for protobuff in tensorflow
Trying to import ctypes and use .so files with python tensorflow on aarch64 the following way:
import ctypes
import numpy as np
#import cv2
lib = ctypes.cdll.LoadLibrary('./serverfoo.so')
class image_data(ctypes.Structure):
_fields_ = [('to_dark', ctypes.c_int),
('to_bright', ctypes.c_int),
('start_time_sec',ctypes.c_int),
('start_time_nsec',ctypes.c_int),
('capture_time_sec',ctypes.c_int),
('capture_time_nsec',ctypes.c_int),
('data', ctypes.ARRAY(ctypes.c_ubyte,960*1280*3))]
def __repr__(self):
return '(0, 1, 2, 3, 4, 5)'.format(self.to_dark,
self.to_bright,
self.start_time_sec,
self.start_time_nsec,
self.capture_time_sec,
self.capture_time_nsec)
class image_server(object):
def __init__(self):
lib.image_server_new.argtypes = []
lib.image_server_new.restype = ctypes.c_void_p
lib.GetNewestImage.argtypes = [ctypes.c_void_p]
lib.GetNewestImage.restype = image_data
self.obj = lib.image_server_new()
def GetNewestImage(self):
return lib.GetNewestImage(self.obj)
leads to the following message (using the same code on an x86_64 works fine):
[libprotobuf FATAL google/protobuf/stubs/common.cc:61] This program requires version 3.6.1 of the Protocol Buffer runtime library, but the installed version is 2.6.1. Please update your library. If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library. (Version verification failed in "bazel-out/arm-opt/genfiles/external/com_github_googleapis_googleapis/google/bigtable/admin/v2/instance.pb.cc".)
terminate called after throwing an instance of 'google::protobuf::FatalException'
what(): This program requires version 3.6.1 of the Protocol Buffer runtime library, but the installed version is 2.6.1. Please update your library. If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library. (Version verification failed in "bazel-out/arm-opt/genfiles/external/com_github_googleapis_googleapis/google/bigtable/admin/v2/instance.pb.cc".)
Aborted (core dumped)
Every suggestion will be appreciated.
python c++ tensorflow protocol-buffers
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tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
Trying to import ctypes and use .so files with python tensorflow on aarch64 the following way:
import ctypes
import numpy as np
#import cv2
lib = ctypes.cdll.LoadLibrary('./serverfoo.so')
class image_data(ctypes.Structure):
_fields_ = [('to_dark', ctypes.c_int),
('to_bright', ctypes.c_int),
('start_time_sec',ctypes.c_int),
('start_time_nsec',ctypes.c_int),
('capture_time_sec',ctypes.c_int),
('capture_time_nsec',ctypes.c_int),
('data', ctypes.ARRAY(ctypes.c_ubyte,960*1280*3))]
def __repr__(self):
return '(0, 1, 2, 3, 4, 5)'.format(self.to_dark,
self.to_bright,
self.start_time_sec,
self.start_time_nsec,
self.capture_time_sec,
self.capture_time_nsec)
class image_server(object):
def __init__(self):
lib.image_server_new.argtypes = []
lib.image_server_new.restype = ctypes.c_void_p
lib.GetNewestImage.argtypes = [ctypes.c_void_p]
lib.GetNewestImage.restype = image_data
self.obj = lib.image_server_new()
def GetNewestImage(self):
return lib.GetNewestImage(self.obj)
leads to the following message (using the same code on an x86_64 works fine):
[libprotobuf FATAL google/protobuf/stubs/common.cc:61] This program requires version 3.6.1 of the Protocol Buffer runtime library, but the installed version is 2.6.1. Please update your library. If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library. (Version verification failed in "bazel-out/arm-opt/genfiles/external/com_github_googleapis_googleapis/google/bigtable/admin/v2/instance.pb.cc".)
terminate called after throwing an instance of 'google::protobuf::FatalException'
what(): This program requires version 3.6.1 of the Protocol Buffer runtime library, but the installed version is 2.6.1. Please update your library. If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library. (Version verification failed in "bazel-out/arm-opt/genfiles/external/com_github_googleapis_googleapis/google/bigtable/admin/v2/instance.pb.cc".)
Aborted (core dumped)
Every suggestion will be appreciated.
python c++ tensorflow protocol-buffers
New contributor
tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Did you read the message from the exception? Have you tried doing what it suggests?
– Some programmer dude
10 hours ago
Hi thx for answering so fast. Yes I tried the following: changing version of protobuf using pip installing a new protoc version - installing protobuf from sources and tensorflow from sources trying to change the version of the protobuf version tensorflow uses - deleting just the old protobuf version and replacing it with a link to a newer version - resulted in a real broken system - with freezing windows and other horrible experiences
– tf_user
10 hours ago
add a comment |
Trying to import ctypes and use .so files with python tensorflow on aarch64 the following way:
import ctypes
import numpy as np
#import cv2
lib = ctypes.cdll.LoadLibrary('./serverfoo.so')
class image_data(ctypes.Structure):
_fields_ = [('to_dark', ctypes.c_int),
('to_bright', ctypes.c_int),
('start_time_sec',ctypes.c_int),
('start_time_nsec',ctypes.c_int),
('capture_time_sec',ctypes.c_int),
('capture_time_nsec',ctypes.c_int),
('data', ctypes.ARRAY(ctypes.c_ubyte,960*1280*3))]
def __repr__(self):
return '(0, 1, 2, 3, 4, 5)'.format(self.to_dark,
self.to_bright,
self.start_time_sec,
self.start_time_nsec,
self.capture_time_sec,
self.capture_time_nsec)
class image_server(object):
def __init__(self):
lib.image_server_new.argtypes = []
lib.image_server_new.restype = ctypes.c_void_p
lib.GetNewestImage.argtypes = [ctypes.c_void_p]
lib.GetNewestImage.restype = image_data
self.obj = lib.image_server_new()
def GetNewestImage(self):
return lib.GetNewestImage(self.obj)
leads to the following message (using the same code on an x86_64 works fine):
[libprotobuf FATAL google/protobuf/stubs/common.cc:61] This program requires version 3.6.1 of the Protocol Buffer runtime library, but the installed version is 2.6.1. Please update your library. If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library. (Version verification failed in "bazel-out/arm-opt/genfiles/external/com_github_googleapis_googleapis/google/bigtable/admin/v2/instance.pb.cc".)
terminate called after throwing an instance of 'google::protobuf::FatalException'
what(): This program requires version 3.6.1 of the Protocol Buffer runtime library, but the installed version is 2.6.1. Please update your library. If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library. (Version verification failed in "bazel-out/arm-opt/genfiles/external/com_github_googleapis_googleapis/google/bigtable/admin/v2/instance.pb.cc".)
Aborted (core dumped)
Every suggestion will be appreciated.
python c++ tensorflow protocol-buffers
New contributor
tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Trying to import ctypes and use .so files with python tensorflow on aarch64 the following way:
import ctypes
import numpy as np
#import cv2
lib = ctypes.cdll.LoadLibrary('./serverfoo.so')
class image_data(ctypes.Structure):
_fields_ = [('to_dark', ctypes.c_int),
('to_bright', ctypes.c_int),
('start_time_sec',ctypes.c_int),
('start_time_nsec',ctypes.c_int),
('capture_time_sec',ctypes.c_int),
('capture_time_nsec',ctypes.c_int),
('data', ctypes.ARRAY(ctypes.c_ubyte,960*1280*3))]
def __repr__(self):
return '(0, 1, 2, 3, 4, 5)'.format(self.to_dark,
self.to_bright,
self.start_time_sec,
self.start_time_nsec,
self.capture_time_sec,
self.capture_time_nsec)
class image_server(object):
def __init__(self):
lib.image_server_new.argtypes = []
lib.image_server_new.restype = ctypes.c_void_p
lib.GetNewestImage.argtypes = [ctypes.c_void_p]
lib.GetNewestImage.restype = image_data
self.obj = lib.image_server_new()
def GetNewestImage(self):
return lib.GetNewestImage(self.obj)
leads to the following message (using the same code on an x86_64 works fine):
[libprotobuf FATAL google/protobuf/stubs/common.cc:61] This program requires version 3.6.1 of the Protocol Buffer runtime library, but the installed version is 2.6.1. Please update your library. If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library. (Version verification failed in "bazel-out/arm-opt/genfiles/external/com_github_googleapis_googleapis/google/bigtable/admin/v2/instance.pb.cc".)
terminate called after throwing an instance of 'google::protobuf::FatalException'
what(): This program requires version 3.6.1 of the Protocol Buffer runtime library, but the installed version is 2.6.1. Please update your library. If you compiled the program yourself, make sure that your headers are from the same version of Protocol Buffers as your link-time library. (Version verification failed in "bazel-out/arm-opt/genfiles/external/com_github_googleapis_googleapis/google/bigtable/admin/v2/instance.pb.cc".)
Aborted (core dumped)
Every suggestion will be appreciated.
python c++ tensorflow protocol-buffers
python c++ tensorflow protocol-buffers
New contributor
tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
tf_usertf_user
111
111
New contributor
tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
tf_user is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Did you read the message from the exception? Have you tried doing what it suggests?
– Some programmer dude
10 hours ago
Hi thx for answering so fast. Yes I tried the following: changing version of protobuf using pip installing a new protoc version - installing protobuf from sources and tensorflow from sources trying to change the version of the protobuf version tensorflow uses - deleting just the old protobuf version and replacing it with a link to a newer version - resulted in a real broken system - with freezing windows and other horrible experiences
– tf_user
10 hours ago
add a comment |
Did you read the message from the exception? Have you tried doing what it suggests?
– Some programmer dude
10 hours ago
Hi thx for answering so fast. Yes I tried the following: changing version of protobuf using pip installing a new protoc version - installing protobuf from sources and tensorflow from sources trying to change the version of the protobuf version tensorflow uses - deleting just the old protobuf version and replacing it with a link to a newer version - resulted in a real broken system - with freezing windows and other horrible experiences
– tf_user
10 hours ago
Did you read the message from the exception? Have you tried doing what it suggests?
– Some programmer dude
10 hours ago
Did you read the message from the exception? Have you tried doing what it suggests?
– Some programmer dude
10 hours ago
Hi thx for answering so fast. Yes I tried the following: changing version of protobuf using pip installing a new protoc version - installing protobuf from sources and tensorflow from sources trying to change the version of the protobuf version tensorflow uses - deleting just the old protobuf version and replacing it with a link to a newer version - resulted in a real broken system - with freezing windows and other horrible experiences
– tf_user
10 hours ago
Hi thx for answering so fast. Yes I tried the following: changing version of protobuf using pip installing a new protoc version - installing protobuf from sources and tensorflow from sources trying to change the version of the protobuf version tensorflow uses - deleting just the old protobuf version and replacing it with a link to a newer version - resulted in a real broken system - with freezing windows and other horrible experiences
– tf_user
10 hours ago
add a comment |
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Did you read the message from the exception? Have you tried doing what it suggests?
– Some programmer dude
10 hours ago
Hi thx for answering so fast. Yes I tried the following: changing version of protobuf using pip installing a new protoc version - installing protobuf from sources and tensorflow from sources trying to change the version of the protobuf version tensorflow uses - deleting just the old protobuf version and replacing it with a link to a newer version - resulted in a real broken system - with freezing windows and other horrible experiences
– tf_user
10 hours ago