deeplearning4j/deeplearning4j

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deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PoolHelperVertex.java

Summary

Maintainability
D
2 days
Test Coverage

Method getOutputType has a Cognitive Complexity of 34 (exceeds 5 allowed). Consider refactoring.
Open

    @Override
    public InputType getOutputType(int layerIndex, InputType... vertexInputs) throws InvalidInputTypeException {
        if (vertexInputs.length == 1)
            return vertexInputs[0];
        InputType first = vertexInputs[0];

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 getOutputType has 74 lines of code (exceeds 25 allowed). Consider refactoring.
Open

    @Override
    public InputType getOutputType(int layerIndex, InputType... vertexInputs) throws InvalidInputTypeException {
        if (vertexInputs.length == 1)
            return vertexInputs[0];
        InputType first = vertexInputs[0];

    Method instantiate has 6 arguments (exceeds 4 allowed). Consider refactoring.
    Open

        public org.deeplearning4j.nn.graph.vertex.GraphVertex instantiate(ComputationGraph graph, String name, int idx,
                                                                          INDArray paramsView, boolean initializeParams, DataType networkDatatype) {

      Avoid too many return statements within this method.
      Open

                          return InputType.feedForward(size);

        Avoid too many return statements within this method.
        Open

                            return InputType.recurrent(size);

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

              @Override
              public InputType getOutputType(int layerIndex, InputType... vertexInputs) throws InvalidInputTypeException {
                  if (vertexInputs.length == 1)
                      return vertexInputs[0];
                  InputType first = vertexInputs[0];
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/UnstackVertex.java on lines 88..180

          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 669.

          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 9 locations. Consider refactoring.
          Open

              @Override
              public MemoryReport getMemoryReport(InputType... inputTypes) {
                  //It's just a get op on the forward pass... no memory use
                  InputType outputType = getOutputType(-1, inputTypes);
          
          
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/MergeVertex.java on lines 249..258
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/PreprocessorVertex.java on lines 86..95
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ReshapeVertex.java on lines 119..126
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ScaleVertex.java on lines 93..100
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/ShiftVertex.java on lines 84..91
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/StackVertex.java on lines 98..106
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/SubsetVertex.java on lines 120..127
          deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/graph/UnstackVertex.java on lines 182..190

          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 58.

          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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