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Running the default docker DigitsRecognitionNeuralNetwork.ipynb throws an System.OutOfMemoryException when calling var mnist = await MnistModelLoader.LoadAsync("mnist", true);
OS: Windows 10 version 2204 (build 19041.421)
Docker version 19.03.8, build afacb8b
Host: Memory 16 GB
Steps to reproduce:
docker run --name scisharp -it -p 8888:8888 scisharpstack/scisharpcube
Click run on each block. A System.OutOfMemoryException is thrown when clicking run on the blockvar mnist = await MnistModelLoader.LoadAsync("mnist", true);
Stack Trace: Exception of type 'System.OutOfMemoryException' was thrown. at System.Array.InternalCreate(Void* elementType, Int32 rank, Int32* pLengths, Int32* pLowerBounds) at System.Array.CreateInstance(Type elementType, Int32[] lengths) at NumSharp.Backends.TypedArrayStorage.Allocate(Shape shape, Type dtype) at NumSharp.Backends.DefaultEngine.Multiply(NDArray x, NDArray y) at Tensorflow.Hub.MnistDataSet..ctor(NDArray images, NDArray labels, Type dataType, Boolean reshape) at Tensorflow.Hub.MnistModelLoader.LoadAsync(ModelLoadSetting setting) at Tensorflow.Hub.MnistModelLoader.LoadAsync(String trainDir, Boolean oneHot, Nullable1 trainSize, Nullable1 validationSize, Nullable1 testSize) at Submission#10.
Additional Information: The Hello World and Linear Regression samples run without issue.
The text was updated successfully, but these errors were encountered:
Running the default docker DigitsRecognitionNeuralNetwork.ipynb throws an System.OutOfMemoryException when calling
var mnist = await MnistModelLoader.LoadAsync("mnist", true);
OS: Windows 10 version 2204 (build 19041.421)
Docker version 19.03.8, build afacb8b
Host: Memory 16 GB
Steps to reproduce:
var mnist = await MnistModelLoader.LoadAsync("mnist", true);
Stack Trace:
Exception of type 'System.OutOfMemoryException' was thrown.
at System.Array.InternalCreate(Void* elementType, Int32 rank, Int32* pLengths, Int32* pLowerBounds)
at System.Array.CreateInstance(Type elementType, Int32[] lengths)
at NumSharp.Backends.TypedArrayStorage.Allocate(Shape shape, Type dtype)
at NumSharp.Backends.DefaultEngine.Multiply(NDArray x, NDArray y)
at Tensorflow.Hub.MnistDataSet..ctor(NDArray images, NDArray labels, Type dataType, Boolean reshape)
at Tensorflow.Hub.MnistModelLoader.LoadAsync(ModelLoadSetting setting)
at Tensorflow.Hub.MnistModelLoader.LoadAsync(String trainDir, Boolean oneHot, Nullable1 trainSize, Nullable1 validationSize, Nullable1 testSize)
at Submission#10.
Additional Information: The Hello World and Linear Regression samples run without issue.
The text was updated successfully, but these errors were encountered: