I am trying to import nengo_dl in Google Colab.
!pip install nengo
!pip install nengo-dl
import nengo_dl
Error:
ModuleNotFoundError Traceback (most recent call last)
in <cell line: 1>() ----> 1 import nengo_dl
ModuleNotFoundError: No module named ‘nengo_dl’
How can I fix this?
import sys
!{sys.executable} -m pip install nengo
!{sys.executable} -m pip install nengo-dl
import nengo
import nengo_dl
Thank you!
I am sorry, it doesn’t
we should downgrande tensorflo to 2.8.0
!pip install tensorflow==2.8.0 to solve the issue
Whenever you have “module” problems, it’s probably because you need to install a library via “pip install” as I suggested. Try installing the keras module as well. Here is a suggestion of libraries that I generally use in my projects.
import collections
import warnings
import pandas as pd
import numpy as np
from datetime import datetime
import time
import matplotlib.pyplot as plt
import datetime
import sys
!{sys.executable} -m pip install seaborn
!{sys.executable} -m pip install imblear
!{sys.executable} -m pip install tensorflow_addons
import seaborn as sns
import imblearn
import tensorflow_addons as tfa
from imblearn.over_sampling import SMOTE
from imblearn.over_sampling import ADASYN
#--------------------------------------------------------------#
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.metrics import accuracy_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.dummy import DummyClassifier
from sklearn.tree import export_graphviz
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import RandomizedSearchCV
from sklearn.model_selection import cross_validate
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import cross_val_predict
from sklearn.naive_bayes import MultinomialNB
from sklearn.ensemble import AdaBoostClassifier
from sklearn.svm import SVC
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
from sklearn.utils.class_weight import compute_class_weight
from sklearn.metrics import f1_score
#--------------------------------------------------------------#
import tensorflow as tf
from tensorflow import keras
from keras.models import Sequential
from keras.layers import Dense
from scikeras.wrappers import KerasClassifier, KerasRegressor
#from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adam
#from tensorflow.keras.layers import Dropout
from keras.constraints import maxnorm
from tensorboard.plugins.hparams import api as hp
import tensorflow_addons as tfa
#--------------------------------------------------------------#
import nengo
import nengo_dl
import keras_spiking
import nengo_loihi
warnings.simplefilter(“ignore”)
tf.get_logger().addFilter(lambda rec: “Tracing is expensive” not in rec.msg)
