# Error: \_reductionPointer allocation failed when loading model

**URL:** <https://community.konduit.ai/t/error-reductionpointer-allocation-failed-when-loading-model/359>\
**Category:** ND4J\
**Created:** [April 2, 2020, 10:30pm UTC](https://community.konduit.ai/t/error-reductionpointer-allocation-failed-when-loading-model/359 "2020-04-02T22:30:47Z")\
**Posts on this page:** 5\
**Page:** 1

<div class="post-metadata">

**Author:** ![torstenbm](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/torstenbm/32/101_2.png) [@torstenbm](https://community.konduit.ai/u/torstenbm)\
**Post date:** [April 2, 2020, 10:30pm UTC](https://community.konduit.ai/t/error-reductionpointer-allocation-failed-when-loading-model/359/1 "2020-04-02T22:30:48Z")

</div>

Getting this error when trying to load my model, any idea what could be going wrong?

```
Caused by: java.lang.RuntimeException: _reductionPointer allocation failed; Error code: [2]
at org.nd4j.nativeblas.Nd4jCuda.lcScalarPointer(Native Method) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.jita.handler.impl.CudaZeroHandler.getCudaContext(CudaZeroHandler.java:1210) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.jita.handler.impl.CudaZeroHandler.alloc(CudaZeroHandler.java:225) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.jita.allocator.impl.AtomicAllocator.allocateMemory(AtomicAllocator.java:526) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.jita.allocator.impl.AtomicAllocator.allocateMemory(AtomicAllocator.java:438) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.initPointers(BaseCudaDataBuffer.java:297) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.<init>(BaseCudaDataBuffer.java:316) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.linalg.jcublas.buffer.CudaLongDataBuffer.<init>(CudaLongDataBuffer.java:87) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory.createLong(CudaDataBufferFactory.java:1119) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory.createLong(CudaDataBufferFactory.java:1114) ~[nd4j-cuda-10.1-1.0.0-beta6.jar:?]
at org.nd4j.linalg.factory.Nd4j.createBufferDetachedImpl(Nd4j.java:1296) ~[nd4j-api-1.0.0-beta6.jar:1.0.0-beta6]
at org.nd4j.linalg.factory.Nd4j.createBufferDetached(Nd4j.java:1278) ~[nd4j-api-1.0.0-beta6.jar:1.0.0-beta6]
at org.nd4j.linalg.factory.Nd4j.read(Nd4j.java:2552) ~[nd4j-api-1.0.0-beta6.jar:1.0.0-beta6]
at org.deeplearning4j.util.ModelSerializer.restoreMultiLayerNetwork(ModelSerializer.java:256) ~[deeplearning4j-nn-1.0.0-beta6.jar:?]
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.load(MultiLayerNetwork.java:3822) ~[deeplearning4j-nn-1.0.0-beta6.jar:?]

```

The dependencies in my pom.xml look like this

```
<dependencies>

    <dependency>
        <groupId>org.nd4j</groupId>
        <artifactId>nd4j-native-platform</artifactId>
        <version>${dl4j.version}</version>
    </dependency>

    <dependency>
        <groupId>org.nd4j</groupId>
        <artifactId>nd4j-native</artifactId>
        <version>${dl4j.version}</version>
    </dependency>

    <dependency>
        <groupId>org.nd4j</groupId>
        <artifactId>nd4j-api</artifactId>
        <version>${dl4j.version}</version>
    </dependency>

    <dependency>
        <groupId>org.deeplearning4j</groupId>
        <artifactId>deeplearning4j-core</artifactId>
        <version>${dl4j.version}</version>
    </dependency>

    <dependency>
        <groupId>org.deeplearning4j</groupId>
        <artifactId>deeplearning4j-nlp-uima</artifactId>
        <version>${dl4j.version}</version>
    </dependency>

    <dependency>
        <groupId>org.nd4j</groupId>
        <artifactId>${nd4j.backend}</artifactId>
        <version>${nd4j.version}</version>
    </dependency>

    <!-- Core DL4J functionality -->
    <dependency>
        <groupId>org.deeplearning4j</groupId>
        <artifactId>deeplearning4j-nlp</artifactId>
        <version>${dl4j.version}</version>
    </dependency>

    <dependency>
        <groupId>org.deeplearning4j</groupId>
        <artifactId>deeplearning4j-zoo</artifactId>
        <version>${dl4j.version}</version>
    </dependency>

    <!-- ParallelWrapper & ParallelInference live here -->
    <dependency>
        <groupId>org.deeplearning4j</groupId>
        <artifactId>deeplearning4j-parallel-wrapper</artifactId>
        <version>${dl4j.version}</version>
    </dependency>

    <!-- CSV-reader for the training data -->
    <dependency>
        <groupId>com.univocity</groupId>
        <artifactId>univocity-parsers</artifactId>
        <version>2.8.3</version>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.bytedeco/javacpp -->
    <dependency>
        <groupId>org.bytedeco</groupId>
        <artifactId>javacpp</artifactId>
        <version>1.5.2</version>
    </dependency>

    <dependency>
        <groupId>org.nd4j</groupId>
        <artifactId>nd4j-native-api</artifactId>
        <version>${nd4j.version}</version>
    </dependency>

</dependencies>

```

---

<div class="post-metadata">

**Author:** ![torstenbm](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/torstenbm/32/101_2.png) [@torstenbm](https://community.konduit.ai/u/torstenbm)\
**Post date:** [April 3, 2020, 12:32am UTC](https://community.konduit.ai/t/error-reductionpointer-allocation-failed-when-loading-model/359/2 "2020-04-03T00:32:37Z")

</div>

Funny thing is, it only happens on occacion, but like 1/3 of the time the code works as expected.

At time it happens when converting to a parallel inference model too.

> Exception in thread “InferenceThread-1” java.lang.RuntimeException: java.lang.RuntimeException: \_reductionPointer allocation failed; Error code: [2]  
> at org.deeplearning4j.parallelism.ParallelInference$InferenceWorker.run(ParallelInference.java:562)  
> Caused by: java.lang.RuntimeException: \_reductionPointer allocation failed; Error code: [2]  
> at org.nd4j.nativeblas.Nd4jCuda.lcScalarPointer(Native Method)  
> at org.nd4j.jita.handler.impl.CudaZeroHandler.getCudaContext(CudaZeroHandler.java:1210)  
> at org.nd4j.jita.handler.impl.CudaZeroHandler.alloc(CudaZeroHandler.java:225)  
> at org.nd4j.jita.allocator.impl.AtomicAllocator.allocateMemory(AtomicAllocator.java:526)  
> at org.nd4j.jita.allocator.impl.AtomicAllocator.allocateMemory(AtomicAllocator.java:438)  
> at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.initPointers(BaseCudaDataBuffer.java:297)  
> at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.(BaseCudaDataBuffer.java:316)  
> at org.nd4j.linalg.jcublas.buffer.CudaFloatDataBuffer.(CudaFloatDataBuffer.java:63)  
> at org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory.create(CudaDataBufferFactory.java:380)  
> at org.nd4j.linalg.factory.Nd4j.createBuffer(Nd4j.java:1455)  
> at org.nd4j.linalg.jcublas.JCublasNDArrayFactory.create(JCublasNDArrayFactory.java:1542)  
> at org.nd4j.linalg.jcublas.JCublasNDArrayFactory.create(JCublasNDArrayFactory.java:1537)  
> at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:4274)  
> at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:3962)  
> at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.init(MultiLayerNetwork.java:691)  
> at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.init(MultiLayerNetwork.java:607)  
> at org.deeplearning4j.parallelism.ParallelInference$InferenceWorker.initializeReplicaModel(ParallelInference.java:480)  
> at org.deeplearning4j.parallelism.ParallelInference$InferenceWorker.run(ParallelInference.java:498)

---

<div class="post-metadata">

**Author:** ![raver119](https://avatars.discourse-cdn.com/v4/letter/r/9de053/32.png) [@raver119](https://community.konduit.ai/u/raver119)\
**Post date:** [April 3, 2020, 4:32am UTC](https://community.konduit.ai/t/error-reductionpointer-allocation-failed-when-loading-model/359/3 "2020-04-03T04:32:28Z")

</div>

That’s OOM. I’d suggest to try latest snapshots.

---

<div class="post-metadata">

**Author:** ![torstenbm](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/torstenbm/32/101_2.png) [@torstenbm](https://community.konduit.ai/u/torstenbm)\
**Post date:** [May 20, 2020, 6:49pm UTC](https://community.konduit.ai/t/error-reductionpointer-allocation-failed-when-loading-model/359/4 "2020-05-20T18:49:08Z")

</div>

For which packages should I add the latest-tag to the maven versioning?

---

<div class="post-metadata">

**Author:** ![treo](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/treo/32/47_2.png) [@treo](https://community.konduit.ai/u/treo)\
**Post date:** [May 21, 2020, 2:47pm UTC](https://community.konduit.ai/t/error-reductionpointer-allocation-failed-when-loading-model/359/5 "2020-05-21T14:47:37Z")

</div>

You’ve been using beta6 back when you originally posted the question, since then beta7 has been released, so you can try that before going straight to snapshots.