React-native: 致命异常：java.lang.OutOfMemoryError

我的 Android 应用使用的是在 Mac 上开发的 React Native 0.22.0。 一切都在发展中。 今天发布后，我收到了来自 Crashlytics 的崩溃报告。

报告是

Fatal Exception: java.lang.OutOfMemoryError: Failed to allocate a 23103292 byte allocation with 13011316 free bytes and 12MB until OOM
       at dalvik.system.VMRuntime.newNonMovableArray(VMRuntime.java)
       at android.graphics.Bitmap.nativeCreate(Bitmap.java)
       at android.graphics.Bitmap.createBitmap(Bitmap.java:942)
       at android.graphics.Bitmap.createBitmap(Bitmap.java:913)
       at android.graphics.Bitmap.createBitmap(Bitmap.java:880)
       at com.facebook.imagepipeline.memory.BitmapPool.alloc(BitmapPool.java:55)
       at com.facebook.imagepipeline.memory.BitmapPool.alloc(BitmapPool.java:30)
       at com.facebook.imagepipeline.memory.BasePool.get(BasePool.java:259)
       at com.facebook.imagepipeline.platform.ArtDecoder.decodeStaticImageFromStream(ArtDecoder.java:137)
       at com.facebook.imagepipeline.platform.ArtDecoder.decodeFromEncodedImage(ArtDecoder.java:81)
       at com.facebook.imagepipeline.decoder.ImageDecoder.decodeStaticImage(ImageDecoder.java:127)
       at com.facebook.imagepipeline.decoder.ImageDecoder.decodeImage(ImageDecoder.java:94)
       at com.facebook.imagepipeline.producers.DecodeProducer$ProgressiveDecoder.doDecode(DecodeProducer.java:188)
       at com.facebook.imagepipeline.producers.DecodeProducer$ProgressiveDecoder.access$200(DecodeProducer.java:96)
       at com.facebook.imagepipeline.producers.DecodeProducer$ProgressiveDecoder$1.run(DecodeProducer.java:128)
       at com.facebook.imagepipeline.producers.JobScheduler.doJob(JobScheduler.java:207)
       at com.facebook.imagepipeline.producers.JobScheduler.access$000(JobScheduler.java:27)
       at com.facebook.imagepipeline.producers.JobScheduler$1.run(JobScheduler.java:78)
       at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1112)
       at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:587)
       at com.facebook.imagepipeline.core.PriorityThreadFactory$1.run(PriorityThreadFactory.java:43)
       at java.lang.Thread.run(Thread.java:818)

大约 50% 的用户面临这个问题。 确实需要修复。