When using Apache Beam Python with GCP Dataflow, does it matter if you materialize the results of GroupByKey? Question: When using Apache Beam Python with GCP Dataflow, is there a downside to materializing the results of GroupByKey, say, to count the number of elements. For example: def consume_group_by_key(element): season, fruits = element for fruit in …
How can I efficiently filter and store maximum and minimum x,y pairs from a large list in Python? Question: I have a loop function to calculate 2 values of the combinations of one list: xyList = [] for i, j in itertools.combinations(mx, 2): x= *some calculation* y= *some calculation* xyList.append([x,y]) However, the combinations of the …
How to prevent the error "unable to allocate x.xx GiB for an array with shape (xx, xxx) and data type xxxxx" without restarting VS Code? Question: I am working with a lot of data in a jupyter notebook. From my research I understand that the memory (RAM/SWAP) is not sufficient to (temporarily) store my large …
MemoryError in Jupyter but not in Python Question: I’m running NAME="CentOS Linux" VERSION="7 (Core)" ID="centos" ID_LIKE="rhel fedora" VERSION_ID="7" with plenty of memory total used free shared buff/cache available Mem: 125G 3.3G 104G 879M 17G 120G 64 bit Anaconda https://repo.anaconda.com/archive/Anaconda3-2022.10-Linux-x86_64.sh I have set max_buffer_size to 64GB in both jupyter_notebook_config.json and jupyter_notebook_config.py, and just to make sure …
Open Jupyter notebook without render images and without popolating dataframes – safe mode loading preventing out of memory state Question: Under Windows 10 I have a Jupyter notebook that I am not able anymore to open because the browser reaches the "out of memory" state. The system resources tool confirms this: reaching 85% of used …
Memory issue when create a diagonal numpy array Question: I have created a diagonal numpy array: a = numpy.float32(numpy.random.rand(10)) a = numpy.diagonal(a) However, I face MemoryError since my matrix is extremely large. Is there anyway to save the memory? Asked By: Hossein Ayouqi || Source Answers: The best way to handle this case is to …
MemoryError using MultinomilNB Question: I got MemoryError while using sklearn.naive_bayes.MultinomialNB for Named Entity Recognition on a big data, where train.shape = (416330, 97896). data_train = pd.read_csv(path[0] + "train_SENTENCED.tsv", encoding="utf-8", sep=’t’, quoting=csv.QUOTE_NONE) data_test = pd.read_csv(path[0] + "test_SENTENCED.tsv", encoding="utf-8", sep=’t’, quoting=csv.QUOTE_NONE) print(‘TRAIN_DATA:n’, data_train.tail(5)) # FIT TRANSFORM X_TRAIN = data_train.drop(‘Tag’, axis=1) X_TEST = data_test.drop(‘Tag’, axis=1) v = DictVectorizer(sparse=False) …
Getting rid of maxpooling layer causes running cuda out memory error pytorch Question: Video card: gtx1070ti 8Gb, batchsize 64, input image size 128*128. I had such UNET with resnet152 as encoder which worked pretty fine: class UNetResNet(nn.Module): def __init__(self, encoder_depth, num_classes, num_filters=32, dropout_2d=0.2, pretrained=False, is_deconv=False): super().__init__() self.num_classes = num_classes self.dropout_2d = dropout_2d if encoder_depth == …
MemoryError when I merge two Pandas data frames Question: I searched almost all over the internet and somehow none of the approaches seem to work in my case. I have two large csv files (each with a million+ rows and about 300-400MB in size). They are loading fine into data frames using the read_csv function …
