Brunsea commented 3 years ago

Actual Behavior

[SpyderKernelApp] WARNING | No such comm: 01e3617ad51911ea820b8c8590441444

Anaconda or Miniconda version:

Operating System: MAC

CODA：

Importing the Keras libraries and packages

from keras.models import Sequential from keras.layers import Convolution2D from keras.layers import MaxPooling2D from keras.layers import Flatten from keras.layers import Dense

Initialising the CNN

classifier = Sequential()

Step 1 - Convolution

classifier.add(Convolution2D(32, 3, 3, input_shape = (64, 64, 3), activation = 'relu'))

Step 2 - Pooling

classifier.add(MaxPooling2D(pool_size = (2, 2)))

Adding a second convolutional layer

classifier.add(Convolution2D(32, 3, 3, activation = 'relu')) classifier.add(MaxPooling2D(pool_size = (2, 2)))

Step 3 - Flattening

classifier.add(Flatten())

Step 4 - Full connection

classifier.add(Dense(output_dim = 128, activation = 'relu')) classifier.add(Dense(output_dim = 1, activation = 'sigmoid'))

Compiling the CNN

classifier.compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = ['accuracy'])

Part 2 - Fitting the CNN to the images

from keras.preprocessing.image import ImageDataGenerator

train_datagen = ImageDataGenerator(rescale = 1./255, shear_range = 0.2, zoom_range = 0.2, horizontal_flip = True)

test_datagen = ImageDataGenerator(rescale = 1./255)

training_set = train_datagen.flow_from_directory('dataset/training_set', target_size = (64, 64), batch_size = 32, class_mode = 'binary')

test_set = test_datagen.flow_from_directory('dataset/test_set', target_size = (64, 64), batch_size = 32, class_mode = 'binary')

classifier.fit_generator(training_set, samples_per_epoch = 8000, nb_epoch = 25, validation_data = test_set, nb_val_samples = 2000)

ccordoba12 commented 3 years ago

Please update to Spyder 4.1.4. This problem should be fixed in that version.

mick-ape commented 3 years ago

Hi - I am also seeing this on Ubuntu 20.04 LTS - using Spyder 4.1.4 everything installed fresh this week. Any advice would be great :/ - Is it because the kernel restarts ? and the "pipe" gets broken as a result ?

mick-ape commented 3 years ago

ok - for me the issue has been resolved - needed to add the extended dependencies for QT:

Debian	apt-get install libgl1-mesa-glx libegl1-mesa libxrandr2 libxrandr2 libxss1 libxcursor1 libxcomposite1 libasound2 libxi6 libxtst6

as indicated at https://docs.anaconda.com/anaconda/install/linux/ :)

The other issue I came across after installing the above - I did not have enough memory for my data and it started failing again. Upping the accessible memory in the VM fixed this.

Singalakha commented 3 years ago

I am also having the same problem. After running

model.fit(x_train, y_train, epochs = 3)

I get:

Restarting kernel... [SpyderKernelApp] WARNING | No such comm:

Not too sure how to fix this.

zhaomoudou commented 3 years ago

I tried spyder 4.2.0, 4.1.5, 4.1.4, but still cannot fix the problem when running classifier.fit_generator(training_set, samples_per_epoch = 8000, nb_epoch = 25, validation_data = test_set, nb_val_samples = 2000)

zhaomoudou commented 3 years ago

I tried spyder 4.2.0, 4.1.5, 4.1.4, but still cannot fix the problem when running classifier.fit_generator(training_set, samples_per_epoch = 8000, nb_epoch = 25, validation_data = test_set, nb_val_samples = 2000)

I found the solution: import os os.environ['KMP_DUPLICATE_LIB_OK']='True' with these 2, we can run our code.

SkyeEngineer commented 3 years ago

This solution works for me.

I tried spyder 4.2.0, 4.1.5, 4.1.4, but still cannot fix the problem when running classifier.fit_generator(training_set, samples_per_epoch = 8000, nb_epoch = 25, validation_data = test_set, nb_val_samples = 2000)

I found the solution: import os os.environ['KMP_DUPLICATE_LIB_OK']='True' with these 2, we can run our code.

This solution works for me

marcobiella commented 3 years ago

I had the same issue on Ubuntu 20.10 and spyder 4. None of the fixes worked!

I installed every dependency and qt5_default. I even tried with os.environ but the error is still there.

Moreover, I get the same error if I try a dummy plot (plotting a pair of useless boxplots).

Do you have any other suggestion?

jeff14994 commented 3 years ago