synchronized { if (epoch > cacheEpoch) { cachedSerializedStatuses.clear() clearCachedBroadcast() cacheEpoch = epoch } cachedSerializedStatuses.get(shuffleId) match { case Some(bytes) => retBytes = bytes true case None => logDebug("cached status not found for : " + shuffleId) statuses = ...
some nodes may have cached//locations with holes (from when we detected the error) and will need the//epoch incremented to refetch them.//TODO: Only increment the epoch number if this
some nodes may have cached//locations with holes (from when we detected the error) and will need the//epoch incremented to refetch them.//TODO: Only increment the epoch number if this is not the first time//we registered
http:///docs/latest/structured-streaming-programming-guide.html#recovery-semantics-after-changes-in-a-streaming-query Build-in Source File source - Reads files written in a directory as a stream of data. Supported file formats are text, csv, json, orc, parquet. Kafka source - Reads data from...
Celeborn is dedicated to improving the efficiency and elasticity of different map-reduce engines and provides an elastic, high-efficient management service for shuffle data. Internals Architecture Celeborn has three primary components: Master, Worker, and Client. Master manages all resources and syncs ...
C1. An Anatomy and Empirical Study of Existing Algo- rithms. We first conduct a systematic empirical study of existing data shuffling strategies for SGD, including (1) Epoch Shuffle, which performs a full shuffle before each 123 Stochastic gradient descent without full data shuffle: with ...
17/05/16 09:55:39 INFO scheduler.DAGScheduler: Shuffle files lost for executor: 8 (epoch 80) 17/05/16 09:55:39 INFO scheduler.ShuffleMapStage: ShuffleMapStage 0 is now unavailable on executor 8 (133/143, false) 17/05/16 09:55:39 INFO scheduler.DAGScheduler: Execut...
and a batch size of 2. the learning rate was decreased using a polynomial learning rate decay schedule with a power of 0.9. each cross-validation model was trained for a total of 1000 epochs, with 250 iterations per epoch. 3d patches with a size of \(1 \times 80 \times 160 \times ...
After importing the necessary package, we define a function calledpsnr, which takes an original imageand a predicted image as its arguments. Our main intention is to calculate thePeak Signal to Noise Ratio (PSNR)by comparing the original and predicted images. ...
Hello, I am trying to use the framework to segment images of bacteria. I am using the provided recipe for FCN_32s, but with a few adaptations for my custom data set (different lut, changed image size and number of classes) The entire scr...