CODEWITHSUNDEEP
apache-sparkmachine-learningneural-networksystemml
Romeo Kienzler
Romeo Kienzler

Reputation: 3537

Apache SystemML scalar-martix (elementwise) multiplication not working

please consider the following code:

  #update
  W1 = W1 - learningRate * dJdW1
  W2 = W2 - learningRate * dJdW2

Where learningRate is double and dJdW1/dJdW1 2d matrices.

I'm getting this error:

ERROR: Runtime error in program block generated from statement block between lines 58 and 61 -- Error evaluating instruction: CP\xb0-*\xb0W2\xb7MATRIX\xb7DOUBLE\xb01.0E-5\xb7SCALAR\xb7DOUBLE\xb7true\xb0dJdW2\xb7MATRIX\xb7DOUBLE\xb0_mVar117\xb7MATRIX\xb7DOUBLE

EDIT 12.7.17:

plus this one...

ordinal not in range(128)'))

The whole DML can be found here

The complete Error can be found here

The whole jupyther notebook can be found here

Upvotes: 0

Views: 43

Answers (1)

Berthold Reinwald
Berthold Reinwald

Reputation: 86

The cellwise scalar matrix operation is fine. Looking at your error, it says that your matrix/vector dimensions are not compatible:

 : Block sizes are not matched for binary cell operations: 3x1 vs 2x3
 org.apache.sysml.runtime.matrix.data.MatrixBlock.binaryOperations(MatrixBlock.java:2872)
 org.apache.sysml.runtime.instructions.cp.PlusMultCPInstruction.processInstruction(PlusMultCPInstruction.java:66)
 org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:290)

Looking at your Notebook, this comes from:

 W2 = W2 - learningRate * dJdW2

W2 is initialized W2 = rand(rows=hiddenLayerSize,cols=outputLayerSize) as a 3x1 matrix, while dJDW2 is a 2x3 matrix.

Upvotes: 1

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