tensorflow/models

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official/nlp/modeling/layers/gated_feedforward.py

Summary

Maintainability
C
1 day
Test Coverage

Function __init__ has 15 arguments (exceeds 4 allowed). Consider refactoring.
Open

  def __init__(self,
Severity: Major
Found in official/nlp/modeling/layers/gated_feedforward.py - About 1 hr to fix

    Function call has a Cognitive Complexity of 11 (exceeds 5 allowed). Consider refactoring.
    Open

      def call(self, inputs):
        layer_output = inputs
        for i in range(self._num_blocks):
          layer_input = layer_output
          intermediate_output = self._intermediate_dense[i](layer_input)
    Severity: Minor
    Found in official/nlp/modeling/layers/gated_feedforward.py - About 1 hr to fix

    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

    Function build has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
    Open

      def build(self, input_shape):
        hidden_size = input_shape.as_list()[-1]
    
        common_kwargs = dict(
            kernel_regularizer=self._kernel_regularizer,
    Severity: Minor
    Found in official/nlp/modeling/layers/gated_feedforward.py - About 25 mins to fix

    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

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

          self._intermediate_dense.append(
              tf_keras.layers.EinsumDense(
                  "abc,cd->abd",
                  output_shape=(None, self._inner_dim),
                  bias_axes="d",
    Severity: Major
    Found in official/nlp/modeling/layers/gated_feedforward.py and 1 other location - About 3 hrs to fix
    official/nlp/modeling/layers/gated_feedforward.py on lines 136..146

    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 64.

    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

          if self._use_gate:
            self._gate_dense.append(
                tf_keras.layers.EinsumDense(
                    "abc,cd->abd",
                    output_shape=(None, self._inner_dim),
    Severity: Major
    Found in official/nlp/modeling/layers/gated_feedforward.py and 1 other location - About 3 hrs to fix
    official/nlp/modeling/layers/gated_feedforward.py on lines 122..131

    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 64.

    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 7 locations. Consider refactoring.
    Open

        common_kwargs = dict(
            kernel_regularizer=self._kernel_regularizer,
            bias_regularizer=self._bias_regularizer,
            activity_regularizer=self._activity_regularizer,
            kernel_constraint=self._kernel_constraint,
    Severity: Major
    Found in official/nlp/modeling/layers/gated_feedforward.py and 6 other locations - About 35 mins to fix
    official/nlp/modeling/layers/multi_channel_attention.py on lines 63..68
    official/nlp/modeling/layers/reuse_attention.py on lines 351..356
    official/nlp/modeling/layers/reuse_transformer.py on lines 161..166
    official/nlp/modeling/layers/tn_transformer_expand_condense.py on lines 132..137
    official/nlp/modeling/layers/transformer.py on lines 265..270
    official/nlp/modeling/layers/transformer_scaffold.py on lines 148..153

    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 33.

    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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