deeplearning4j/deeplearning4j

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deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected2D.java

Summary

Maintainability
C
1 day
Test Coverage

File LocallyConnected2D.java has 270 lines of code (exceeds 250 allowed). Consider refactoring.
Open

/*
 *  ******************************************************************************
 *  *
 *  *
 *  * This program and the accompanying materials are made available under the

    Method defineLayer has a Cognitive Complexity of 14 (exceeds 5 allowed). Consider refactoring.
    Open

        @Override
        public SDVariable defineLayer(SameDiff sameDiff, SDVariable layerInput, Map<String, SDVariable> paramTable, SDVariable mask) {
    
            SDVariable w = paramTable.get(ConvolutionParamInitializer.WEIGHT_KEY);
    
    

    Cognitive Complexity

    Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.

    A method's cognitive complexity is based on a few simple rules:

    • Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
    • Code is considered more complex for each "break in the linear flow of the code"
    • Code is considered more complex when "flow breaking structures are nested"

    Further reading

    Method defineLayer has 43 lines of code (exceeds 25 allowed). Consider refactoring.
    Open

        @Override
        public SDVariable defineLayer(SameDiff sameDiff, SDVariable layerInput, Map<String, SDVariable> paramTable, SDVariable mask) {
    
            SDVariable w = paramTable.get(ConvolutionParamInitializer.WEIGHT_KEY);
    
    

      Similar blocks of code found in 2 locations. Consider refactoring.
      Open

                  if(cm == ConvolutionMode.Same){
                      layerInput = sameDiff.nn().pad(layerInput,
                              sameDiff.constant(Nd4j.createFromArray(new int[][]{{0,0},{0,0},{padding[0], paddingBr[0]}, {padding[1], paddingBr[1]}})), PadMode.CONSTANT, 0.0);
                  } else {
      deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected2D.java on lines 197..200

      Duplicated Code

      Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

      Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

      When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

      Tuning

      This issue has a mass of 78.

      We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

      The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

      If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

      See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

      Refactorings

      Further Reading

      Similar blocks of code found in 2 locations. Consider refactoring.
      Open

                  } else {
                      layerInput = sameDiff.nn().pad(layerInput,
                              sameDiff.constant(Nd4j.createFromArray(new int[][]{{0,0},{0,0},{padding[0], padding[0]}, {padding[1], padding[1]}})), PadMode.CONSTANT, 0.0);
                  }
      deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected2D.java on lines 194..197

      Duplicated Code

      Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

      Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

      When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

      Tuning

      This issue has a mass of 78.

      We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

      The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

      If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

      See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

      Refactorings

      Further Reading

      Identical blocks of code found in 2 locations. Consider refactoring.
      Open

          @Override
          public void applyGlobalConfigToLayer(NeuralNetConfiguration.Builder globalConfig) {
              if (activation == null) {
                  activation = SameDiffLayerUtils.fromIActivation(globalConfig.getActivationFn());
              }
      deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/LocallyConnected1D.java on lines 214..222

      Duplicated Code

      Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

      Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

      When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

      Tuning

      This issue has a mass of 48.

      We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

      The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

      If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

      See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

      Refactorings

      Further Reading

      Identical blocks of code found in 5 locations. Consider refactoring.
      Open

                          double fanOut = nOut * kernel[0] * kernel[1] / ((double) stride[0] * stride[1]);
      deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/ConvolutionParamInitializer.java on lines 209..209
      deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DeconvolutionParamInitializer.java on lines 59..59
      deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/DepthwiseConvolutionParamInitializer.java on lines 197..197
      deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/params/SeparableConvolutionParamInitializer.java on lines 225..225

      Duplicated Code

      Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

      Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

      When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

      Tuning

      This issue has a mass of 44.

      We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

      The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

      If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

      See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

      Refactorings

      Further Reading

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