out-of-memory

how to avoid the error OOM when displaying bitmaps in recyclerView

孤者浪人 提交于 2021-01-28 12:23:12
问题 I am trying to show bitmap images in a 3 column gridViewLayout in recyclerView. but I receive OOM (Out of Memory) exception. Note that images are picked from gallery how can I solve this problem ?? This is my onBindViewHolder : @Override public void onBindViewHolder(@NonNull final ViewHolder holder, final int position) { final byte[] data = arrayList.get(position).getAsByteArray("byteArray"); Bitmap bitmap = BitmapFactory.decodeByteArray(data, 0, data.length); Glide.with(activity) .load

index number to large for python

孤街醉人 提交于 2021-01-28 06:12:04
问题 Hello all I am trying to make an easy json with some data i pull from a type of API. I want the "key" to be one of the ids, however i get the following error "cannot fit 'int' into an index-sized integer". So looking around I think this means that the number I am trying to associate as the key is larger than a number can be?? So I was thinking about some possible work-arounds for this and was wondering if anyone knows a way to get around this. The best thing I can think of is create a

SQLiteException: unknown error (code 0): Native could not create new byte[]

牧云@^-^@ 提交于 2021-01-28 03:02:42
问题 I'm getting this error when trying to query up to 30 objects, each object has field byte[] which weights 100x100 ARGB_8888 bitmap data ~ 39kb I'm using OrmLite 4.45 version. on a Samsung GT n8000 tablet (max heap size 64mb) Here's stacktrace: android.database.sqlite.SQLiteException: unknown error (code 0): Native could not create new byte[] at android.database.CursorWindow.nativeGetBlob(Native Method) at android.database.CursorWindow.getBlob(CursorWindow.java:403) at android.database

projectRaster consuming too much memory

强颜欢笑 提交于 2021-01-27 13:20:56
问题 I'm doing some spatial stuff in R and out of the blue some of my code will no longer work on a computer that I've been using for years, specifically because it's "running out of memory." ## Raster going in xx <- raster(fatNames[[i]]) xx class : RasterLayer dimensions : 5160, 14436, 74489760 (nrow, ncol, ncell) resolution : 0.008333333, 0.008333333 (x, y) extent : -172.3, -52, 23.5, 66.5 (xmin, xmax, ymin, ymax) coord. ref. : +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 data

Multiple enqueue in retrofit causing out of memory error?

点点圈 提交于 2021-01-27 13:01:39
问题 Am doing my project using retrofit2. When my Call goes on failure i repeat same call again.Repeation of this call made my app to force close. When i look on log i got error log, which is given below. I felt this is caused by multiple enqueue to same Call. So i did that before enqueus i called cancel. But its not working. getting same force close. FATAL EXCEPTION: main Process: com.SocialMob, PID: 27846 java.lang.OutOfMemoryError: pthread_create (stack size 16384 bytes) failed: Try again at

JVM issues with a large in-memory object

拜拜、爱过 提交于 2021-01-27 12:20:43
问题 I have a binary that contains a list of short strings which is loaded on startup and stored in memory as a map from string to protobuf (that contains the string..). (Not ideal, but hard to change that design due to legacy issues) Recently that list has grown from ~2M to ~20M entries causing it to fail when constructing the map. First I got OutOfMemoryError: Java heap space . When I increased the heap size using the xms and xmx we ran into GC overhead limit exceeded . Runs on a Linux 64-bit

JVM issues with a large in-memory object

感情迁移 提交于 2021-01-27 12:18:08
问题 I have a binary that contains a list of short strings which is loaded on startup and stored in memory as a map from string to protobuf (that contains the string..). (Not ideal, but hard to change that design due to legacy issues) Recently that list has grown from ~2M to ~20M entries causing it to fail when constructing the map. First I got OutOfMemoryError: Java heap space . When I increased the heap size using the xms and xmx we ran into GC overhead limit exceeded . Runs on a Linux 64-bit

Dataset does not fit in memory

放肆的年华 提交于 2021-01-27 07:08:45
问题 I have an MNIST like dataset that does not fit in memory, (process memory, not gpu memory). My dataset is 4GB. This is not a TFLearn issue. As far as I know model.fit requires an array for x and y . TFLearn example: model.fit(x, y, n_epoch=10, validation_set=(val_x, val_y)) I was wondering is there's a way where we can pass a "batch iterator", instead of an array. Basically for each batch I would load the necessary data from disk. This way I would not run into process memory overflow errors.

Out Of Memory exception on System.Drawing.Image.FromStream()

寵の児 提交于 2021-01-27 06:05:42
问题 I have an application, which processes and re-sizes images and occassionally during long iterations I get OutOfMemoryException. I store my images in the database as filestream and during processing I need to save them to a temporary physical location. My models: [Table("Car")] public class Car { [... some fields ...] public virtual ICollection<CarPhoto> CarPhotos { get; set; } } [Table("CarPhoto")] public class CarPhoto { [... some fields ...] public Guid Key { get; set; } [Column(TypeName =

Kafka Connect S3 Connector OutOfMemory errors with TimeBasedPartitioner

邮差的信 提交于 2021-01-21 03:51:19
问题 I'm currently working with the Kafka Connect S3 Sink Connector 3.3.1 to copy Kafka messages over to S3 and I have OutOfMemory errors when processing late data. I know it looks like a long question, but I tried my best to make it clear and simple to understand. I highly appreciate your help. High level info The connector does a simple byte to byte copy of the Kafka messages and add the length of the message at the beginning of the byte array (for decompression purposes). This is the role of