yolov7 ImportError: DLL load failed while importing _fblas: %1 is not a Win32 application - tensorflow

When I start the tutorial it shows an error. I am using windows 11 64 bit. I installed all the packages through anaconda, and I can’t understand what the problem could be. (Python 3.9)
Traceback (most recent call last):
File "C:\Users\iirof\PycharmProjects\rf_detect_mob\yolov7-custom\train.py", line 24, in <module>
import test # import test.py to get mAP after each epoch
File "C:\Users\iirof\PycharmProjects\rf_detect_mob\yolov7-custom\test.py", line 12, in <module>
from models.experimental import attempt_load
File "C:\Users\iirof\PycharmProjects\rf_detect_mob\yolov7-custom\models\experimental.py", line 6, in <module>
from models.common import Conv, DWConv
File "C:\Users\iirof\PycharmProjects\rf_detect_mob\yolov7-custom\models\common.py", line 17, in <module>
from utils.plots import color_list, plot_one_box
File "C:\Users\iirof\PycharmProjects\rf_detect_mob\yolov7-custom\utils\plots.py", line 19, in <module>
from scipy.signal import butter, filtfilt
File "C:\Users\iirof\anaconda3\envs\rf\lib\site-packages\scipy\signal\__init__.py", line 309, in <module>
from . import _sigtools, windows
File "C:\Users\iirof\anaconda3\envs\rf\lib\site-packages\scipy\signal\windows\__init__.py", line 41, in <module>
from ._windows import *
File "C:\Users\iirof\anaconda3\envs\rf\lib\site-packages\scipy\signal\windows\_windows.py", line 7, in <module>
from scipy import linalg, special, fft as sp_fft
File "C:\Users\iirof\anaconda3\envs\rf\lib\site-packages\scipy\__init__.py", line 233, in __getattr__
return _importlib.import_module(f'scipy.{name}')
File "C:\Users\iirof\anaconda3\envs\rf\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "C:\Users\iirof\anaconda3\envs\rf\lib\site-packages\scipy\linalg\__init__.py", line 197, in <module>
from ._misc import *
File "C:\Users\iirof\anaconda3\envs\rf\lib\site-packages\scipy\linalg\_misc.py", line 3, in <module>
from .blas import get_blas_funcs
File "C:\Users\iirof\anaconda3\envs\rf\lib\site-packages\scipy\linalg\blas.py", line 213, in <module>
from scipy.linalg import _fblas
ImportError: DLL load failed while importing _fblas: %1 не является приложением Win32.
Tried to install different versions of python, but nothing new.

Related

Failed to import from tf_agents.agents.categorical_dqn import categorical_dqn_agent

Im getting this error when importing this command on python
from tf_agents.agents.categorical_dqn import categorical_dqn_agent
Traceback (most recent call last):
File "<pyshell#19>", line 1, in <module>
from tf_agents.agents.categorical_dqn import categorical_dqn_agent
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tf_agents\agents\__init__.py", line 17, in <module>
from tf_agents.agents import tf_agent
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tf_agents\agents\tf_agent.py", line 26, in <module>
from tf_agents.specs import tensor_spec
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tf_agents\specs\__init__.py", line 20, in <module>
from tf_agents.specs.distribution_spec import DistributionSpec
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tf_agents\specs\distribution_spec.py", line 22, in <module>
import tensorflow_probability as tfp
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\__init__.py", line 23, in <module>
from tensorflow_probability.python import * # pylint: disable=wildcard-import
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\__init__.py", line 138, in <module>
dir(globals()[pkg_name]) # Forces loading the package from its lazy loader.
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\internal\lazy_loader.py", line 57, in __dir__
module = self._load()
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\internal\lazy_loader.py", line 40, in _load
module = importlib.import_module(self.__name__)
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\experimental\__init__.py", line 31, in <module>
from tensorflow_probability.python.experimental import bijectors
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\experimental\bijectors\__init__.py", line 17, in <module>
from tensorflow_probability.python.bijectors.ldj_ratio import forward_log_det_jacobian_ratio
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\bijectors\__init__.py", line 19, in <module>
from tensorflow_probability.python.bijectors.absolute_value import AbsoluteValue
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\bijectors\absolute_value.py", line 19, in <module>
from tensorflow_probability.python.bijectors import bijector
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\bijectors\bijector.py", line 26, in <module>
from tensorflow_probability.python.internal import batch_shape_lib
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\internal\batch_shape_lib.py", line 23, in <module>
from tensorflow_probability.python.internal import prefer_static as ps
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\internal\prefer_static.py", line 26, in <module>
from tensorflow_probability.python.internal.backend import numpy as nptf
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\internal\backend\numpy\__init__.py", line 18, in <module>
from tensorflow_probability.python.internal.backend.numpy import bitwise
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\internal\backend\numpy\bitwise.py", line 19, in <module>
from tensorflow_probability.python.internal.backend.numpy import _utils as utils
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\internal\backend\numpy\_utils.py", line 22, in <module>
from tensorflow_probability.python.internal.backend.numpy import nest
File "C:\Users\kasun\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow_probability\python\internal\backend\numpy\nest.py", line 68, in <module>
assert_same_structure = dm_tree.assert_same_structure
AttributeError: module 'tree' has no attribute 'assert_same_structure'
I tried this:
pip3 install dm-tree
but it also didnt work
Try:
pip install --upgrade dm-tree

from resource import setrlimit ModuleNotFoundError: No module named 'resource'`

tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-04-28 10:02:39.911093: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
File "D:\ASL_to_English\Tensorflow\models\research\object_detection\builders\model_builder_tf2_test.py", line 24, in <module>
from object_detection.builders import model_builder
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\object_detection\builders\model_builder.py", line 22, in <module>
from object_detection.builders import box_predictor_builder
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\object_detection\builders\box_predictor_builder.py", line 20, in <module>
from object_detection.predictors import convolutional_box_predictor
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\object_detection\predictors\convolutional_box_predictor.py", line 19, in <module>
from object_detection.core import box_predictor
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\object_detection\core\box_predictor.py", line 137, in <module>
class KerasBoxPredictor(tf.keras.Model):
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\util\lazy_loader.py", line 62, in __getattr__
module = self._load()
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\util\lazy_loader.py", line 45, in _load
module = importlib.import_module(self.__name__)
File "C:\Program Files\Python39\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\keras\api\__init__.py", line 10, in <module>
from keras.api import keras
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\keras\api\keras\__init__.py", line 11, in <module>
from keras.api.keras import __internal__
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\keras\api\keras\__internal__\__init__.py", line 10, in <module>
from keras.api.keras.__internal__ import legacy
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\keras\api\keras\__internal__\legacy\__init__.py", line 10, in <module>
from keras.api.keras.__internal__.legacy import layers
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\keras\api\keras\__internal__\legacy\layers\__init__.py", line 10, in <module>
from keras.api.keras.__internal__.legacy.layers import experimental
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\keras\api\keras\__internal__\legacy\layers\experimental\__init__.py", line 15, in <module>
from tensorflow.python.util import module_wrapper as _module_wrapper
File "C:\Users\DELL\AppData\Roaming\Python\Python39\site-packages\tensorflow\python\util\module_wrapper.py", line 21, in <module>
from resource import setrlimit
ModuleNotFoundError: No module named 'resource'
while training the SSD mobile net model
I am getting this error,but I have installed "resource" in windows using pip install resource
please help me out with this error

Error when installing Pandas on Solaris 10

Currently we are on Python 2.7.17, and we are getting the following error:
sbdsvrwm261# ./pip install pandas
Traceback (most recent call last):
File "./pip", line 9, in <module>
load_entry_point('pip==8.1.2', 'console_scripts', 'pip')()
File "/opt/csw/lib/python2.7/site-packages/pkg_resources/__init__.py", line 565, in load_entry_point
return get_distribution(dist).load_entry_point(group, name)
File "/opt/csw/lib/python2.7/site-packages/pkg_resources/__init__.py", line 2631, in load_entry_point
return ep.load()
File "/opt/csw/lib/python2.7/site-packages/pkg_resources/__init__.py", line 2291, in load
return self.resolve()
File "/opt/csw/lib/python2.7/site-packages/pkg_resources/__init__.py", line 2297, in resolve
module = __import__(self.module_name, fromlist=['__name__'], level=0)
File "/opt/csw/lib/python2.7/site-packages/pip/__init__.py", line 16, in <module>
from pip.vcs import git, mercurial, subversion, bazaar # noqa
File "/opt/csw/lib/python2.7/site-packages/pip/vcs/subversion.py", line 9, in <module>
from pip.index import Link
File "/opt/csw/lib/python2.7/site-packages/pip/index.py", line 30, in <module>
from pip.wheel import Wheel, wheel_ext
File "/opt/csw/lib/python2.7/site-packages/pip/wheel.py", line 39, in <module>
from pip._vendor.distlib.scripts import ScriptMaker
File "/opt/csw/lib/python2.7/site-packages/pip/_vendor/distlib/scripts.py", line 14, in <module>
from .compat import sysconfig, detect_encoding, ZipFile
File "/opt/csw/lib/python2.7/site-packages/pip/_vendor/distlib/compat.py", line 31, in <module>
from urllib2 import (Request, urlopen, URLError, HTTPError,
ImportError: cannot import name HTTPSHandler
If you require further information from me, please let me know.
Thanks
Pandas officially supports Python ^3.5.3.
Have you tried using virtualenv or docker to get Python 3.*?

AttributeError: module 'tensorflow.python.pywrap_tensorflow' has no attribute 'TFE_MonitoringNewCounter0'

I'm using Rasa for a chatbot project and recently completed the installation. When I try to train my bot using the 'rasa train' command, it shows me this error and I cant seem to find a way to solve it.
I've reinstalled tensorflow as suggested on another forum, but it didnt make a difference
Traceback (most recent call last):
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\Rithesh\Anaconda3_update\envs\tf_gpu\Scripts\rasa.exe\__main__.py", line 9, in <module>
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\rasa\__main__.py", line 69, in main
set_log_level(log_level)
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\rasa\utils\common.py", line 68, in set_log_level
update_tensorflow_log_level()
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\rasa\utils\common.py", line 87, in update_tensorflow_log_level
import tensorflow as tf
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow\__init__.py", line 29, in <module>
from tensorflow._api.v1 import compat
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow\_api\v1\compat\__init__.py", line 21, in <module>
from tensorflow._api.v1.compat import v1
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow\_api\v1\compat\v1\__init__.py", line 626, in <module>
child_package_str=('tensorflow_estimator.python.estimator.api.estimator'))
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow\python\tools\component_api_helper.py", line 56, in package_hook
child_pkg = importlib.import_module(child_package_str)
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow_estimator\__init__.py", line 8, in <module>
from tensorflow_estimator._api.v1 import estimator
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow_estimator\_api\v1\estimator\__init__.py", line 8, in <module>
from tensorflow_estimator._api.v1.estimator import experimental
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow_estimator\_api\v1\estimator\experimental\__init__.py", line 8, in <module>
from tensorflow_estimator.python.estimator.canned.dnn import dnn_logit_fn_builder
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow_estimator\python\estimator\__init__.py", line 25, in <module>
import tensorflow_estimator.python.estimator.estimator_lib
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow_estimator\python\estimator\estimator_lib.py", line 22, in <module>
from tensorflow_estimator.python.estimator.canned.baseline import BaselineClassifier
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow_estimator\python\estimator\canned\baseline.py", line 67, in <module>
from tensorflow_estimator.python.estimator import estimator
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 37, in <module>
from tensorflow.python.eager import monitoring
File "c:\users\rithesh\anaconda3_update\envs\tf_gpu\lib\site-packages\tensorflow\python\eager\monitoring.py", line 31, in <module>
create=pywrap_tensorflow.TFE_MonitoringNewCounter0,
AttributeError: module 'tensorflow.python.pywrap_tensorflow' has no attribute 'TFE_MonitoringNewCounter0'
Did you read this already?
AttributeError: module 'tensorflow.python.pywrap_tensorflow' has no attribute 'TFE_Py_RegisterExceptionClass'
In my experience a clean conda environment goes a long way. Also the order in which you type your conda install commands matters.

import tensorflow.contrib.layers as layers reported an error

The TF version is 1.9.0 and cython version is 0.28.4, when import tensorflow.contrib.layers as layers, there is an error occured,
Traceback (most recent call last):
File "train.py", line 9, in <module>
import tensorflow.contrib.layers as layers
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/__init__.py", line 39, in <module>
from tensorflow.contrib import distributions
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/distributions/__init__.py", line 40, in <module>
from tensorflow.contrib.distributions.python.ops.estimator import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/distributions/python/ops/estimator.py", line 21, in <module>
from tensorflow.contrib.learn.python.learn.estimators.head import _compute_weighted_loss
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/__init__.py", line 95, in <module>
from tensorflow.contrib.learn.python.learn import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/__init__.py", line 28, in <module>
from tensorflow.contrib.learn.python.learn import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/__init__.py", line 30, in <module>
from tensorflow.contrib.learn.python.learn import estimators
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/estimators/__init__.py", line 302, in <module>
from tensorflow.contrib.learn.python.learn.estimators.dnn import DNNClassifier
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", line 35, in <module>
from tensorflow.contrib.learn.python.learn.estimators import dnn_linear_combined
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py", line 36, in <module>
from tensorflow.contrib.learn.python.learn.estimators import estimator
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 52, in <module>
from tensorflow.contrib.learn.python.learn.learn_io import data_feeder
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/learn_io/__init__.py", line 26, in <module>
from tensorflow.contrib.learn.python.learn.learn_io.dask_io import extract_dask_data
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/learn_io/dask_io.py", line 33, in <module>
import dask.dataframe as dd
File "/usr/local/lib/python3.5/dist-packages/dask/dataframe/__init__.py", line 3, in <module>
from .core import (DataFrame, Series, Index, _Frame, map_partitions,
File "/usr/local/lib/python3.5/dist-packages/dask/dataframe/core.py", line 20, in <module>
from .. import array as da
File "/usr/local/lib/python3.5/dist-packages/dask/array/__init__.py", line 4, in <module>
from .core import (Array, block, concatenate, stack, from_array, store,
File "/usr/local/lib/python3.5/dist-packages/dask/array/core.py", line 50, in <module>
from ..bytes.core import get_mapper, get_fs_token_paths
File "/usr/local/lib/python3.5/dist-packages/dask/bytes/__init__.py", line 4, in <module>
from .core import read_bytes, open_files, open_text_files
File "/usr/local/lib/python3.5/dist-packages/dask/bytes/core.py", line 10, in <module>
from .compression import seekable_files, files as compress_files
File "/usr/local/lib/python3.5/dist-packages/dask/bytes/compression.py", line 31, in <module>
import snappy
File "/usr/local/lib/python3.5/dist-packages/snappy/__init__.py", line 7, in <module>
from .SnapPy import (AbelianGroup, HolonomyGroup, FundamentalGroup,
File "cython/core/basic.pyx", line 45, in init SnapPy
File "/usr/local/lib/python3.5/dist-packages/snappy/horoviewer.py", line 3, in <module>
from .CyOpenGL import *
File "opengl/CyOpenGL.pyx", line 36, in init CyOpenGL
AttributeError: type object 'CyOpenGL.vector3' has no attribute '__reduce_cython__'
I thought there is something wrong with Cython's verion, but I am not sure since. How can I fix it?
Now, I can not figure out how did this error come out, but still, there is a workaround that is using tf.layers.dense to replace it
tf.layers.dense(...) # tf.contrib.layers.fully_connected(...)
This error is nasty when you don't have root permission to update dependencies.
Reference:
Are tf.layers.dense() and tf.contrib.layers.fully_connected() interchangeable?