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Upstream bug https://github.com/deeplearning4j/nd4j/issues/2271
You can reproduce this bug in NaN-fix branch:
git clone https://github.com/ThoughtWorksInc/DeepLearning.scala.git --branch NaN-fix cd DeepLearning.scala sbt plugins-INDArrayLayers/testOnly com.thoughtworks.deeplearning.plugins.NaNSpec
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nd4j-bug.log
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The workaround is using single thread only:
import java.util.concurrent.Executors import scala.concurrent.ExecutionContext val singleThreadExecutor = Executors.newSingleThreadExecutor() implicit val singleThreadExecutionContext = ExecutionContext.fromExecutor(singleThreadExecutor) // Don't import the default ExecutionContext! // import scala.concurrent.ExecutionContext.Implicits.global
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Upstream bug https://github.com/deeplearning4j/nd4j/issues/2271
You can reproduce this bug in NaN-fix branch:
The text was updated successfully, but these errors were encountered: