issue with python's multiprocessing in google colab

Run this instead

import multiprocessing
def spawn(num):
   print('Spawned! {}'.format(num))

for i in range(5):
   p = multiprocessing.Process(target = spawn, args = (i, ))
p.start()

Suggestion : 2

Colaboratory seems incompatible with the Python multiprocessing API.,@vincent-hui , Thank you for your follow up. We have changed the multiprocessing into torch.multiprocessing. But we haven't tested with the Google Colaboratory yet.,Sorry, I am confused about the final resolution. Is it changing the Google Colab Notes to single process or was there a change in the source code. Also, can you please post steps to disable multi-processing?,Now I'm gonna also try to use autokeras for other data types, such as time-series neuronal / behavior data - convert them into kind of 2-d array or text data. I saw that module for audio data is also being considered, and it will be really nice for them too!

from keras.datasets
import mnist
from autokeras
import ImageClassifier

if __name__ == '__main__':
   (x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train.reshape(x_train.shape + (1, ))
x_test = x_test.reshape(x_test.shape + (1, ))

clf = ImageClassifier(verbose = True, augment = False)
clf.fit(x_train, y_train, time_limit = 12 * 60 * 60)
clf.final_fit(x_train, y_train, x_test, y_test, retrain = True)
y = clf.evaluate(x_test, y_test)
print(y * 100)

Using TensorFlow backend.

Downloading data from https: //s3.amazonaws.com/img-datasets/mnist.npz
   11493376 / 11490434[ === === === === === === === === === === ] - 2 s 0 us / step
Initializing search.
   [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]
   [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]
Initialization finished.
Training model 0

Using TensorFlow backend. /
   usr / local / lib / python3 .6 / dist - packages / tqdm / autonotebook / __init__.py: 14: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode.Use `tqdm.tqdm`
instead to force console mode(e.g.in jupyter console)
" (e.g. in jupyter console)", TqdmExperimentalWarning)

Initializing search.
Initialization finished.

   ╒ === === === === === === === === === === === === === === === = ╕ |
   Training model 0 | ╘ === === === === === === === === === === === === === === === = ╛

        mp.set_start_method('spawn', force = True)
        pool = mp.Pool(1)
        try:
        train_results = pool.map_async(train, [(graph, train_data, test_data, self.trainer_args,
           os.path.join(self.path, str(model_id) + '.png'),
           self.metric, self.loss, self.verbose)])

        import sys
        if "google.colab" in sys.modules:
           gcolab = True
        else:
           gcolab = False
        mp.set_start_method('spawn', force = True)
        pool = mp.Pool(1)

        try:
        if gcolab:
           train_results = train((graph, train_data, test_data, self.trainer_args,
              os.path.join(self.path, str(model_id) + '.png'),
              self.metric, self.loss, self.verbose))
        else:
           train_results = pool.map_async(train, [(graph, train_data, test_data, self.trainer_args,
              os.path.join(self.path, str(model_id) + '.png'),
              self.metric, self.loss, self.verbose)])

* Change Process.Pool to subprocess to be compatible with google colab

   *
   Update test

   *
   Resolve conflict

   *
   Resolve one more conflict

   *
   Catch timeout exception from TimeError only

   *
   Fix merge error

Suggestion : 3

Am I missing something? Does multiprocessing anycodings_multiprocessing work with Google Colab local runtime?,I need to do some multiprocessing with my anycodings_multiprocessing Python scripts and I decided to give it a anycodings_multiprocessing try with Google's collaboratory.,However, when I run this, nothing happens. anycodings_multiprocessing Absolutely nothing, no errors, no prints, it anycodings_multiprocessing just executes instantly and that's it.,I've connected to local runtime and tried to anycodings_multiprocessing run the following script:

I've connected to local runtime and tried to anycodings_multiprocessing run the following script:

import multiprocessing

def spawn(num):
   print('Spawned! {}'.format(num))

if __name__ == '__main__':
   for i in range(5):
   p = multiprocessing.Process(target = spawn, args = (i, ))
p.start()

Run this instead

import multiprocessing
def spawn(num):
   print('Spawned! {}'.format(num))

for i in range(5):
   p = multiprocessing.Process(target = spawn, args = (i, ))
p.start()