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official/nlp/modeling/layers/tn_transformer_expand_condense.py

Summary

Maintainability
C
1 day
Test Coverage

Function __init__ has 19 arguments (exceeds 4 allowed). Consider refactoring.
Open

  def __init__(self,
Severity: Major
Found in official/nlp/modeling/layers/tn_transformer_expand_condense.py - About 2 hrs to fix

    Function call has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring.
    Open

      def call(self, inputs):
    if isinstance(inputs, (list, tuple)) and len(inputs) == 2:
      input_tensor, attention_mask = inputs
    else:
      input_tensor, attention_mask = (inputs, None)
    Severity: Minor
    Found in official/nlp/modeling/layers/tn_transformer_expand_condense.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):
    input_tensor = input_shape[0] if len(input_shape) == 2 else input_shape
    input_tensor_shape = tf.TensorShape(input_tensor)
    if len(input_tensor_shape.as_list()) != 3:
      raise ValueError(
    Severity: Minor
    Found in official/nlp/modeling/layers/tn_transformer_expand_condense.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

        if len(input_shape) == 2:
      mask_tensor_shape = tf.TensorShape(input_shape[1])
      expected_mask_tensor_shape = tf.TensorShape(
          [batch_size, sequence_length, sequence_length])
      if not expected_mask_tensor_shape.is_compatible_with(mask_tensor_shape):
    Severity: Major
    Found in official/nlp/modeling/layers/tn_transformer_expand_condense.py and 1 other location - About 4 hrs to fix
    official/nlp/modeling/layers/transformer_xl.py on lines 132..141

    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 76.

    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

      def __init__(self,
               num_attention_heads,
               intermediate_size,
               intermediate_activation,
               dropout_rate=0.0,
    Severity: Minor
    Found in official/nlp/modeling/layers/tn_transformer_expand_condense.py and 1 other location - About 55 mins to fix
    official/nlp/modeling/layers/transformer.py on lines 65..83

    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 37.

    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 7 locations. Consider refactoring.
    Open

        if hidden_size % self._num_heads != 0:
      raise ValueError(
          "The input size (%d) is not a multiple of the number of attention "
          "heads (%d)" % (hidden_size, self._num_heads))
    Severity: Major
    Found in official/nlp/modeling/layers/tn_transformer_expand_condense.py and 6 other locations - About 50 mins to fix
    official/nlp/modeling/layers/reuse_transformer.py on lines 154..157
    official/nlp/modeling/layers/transformer.py on lines 260..263
    official/nlp/modeling/layers/transformer_scaffold.py on lines 142..145
    official/nlp/modeling/layers/transformer_xl.py on lines 142..145
    official/projects/detr/modeling/transformer.py on lines 256..259
    official/projects/detr/modeling/transformer.py on lines 670..673

    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 36.

    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

        if attention_initializer:
      self._attention_initializer = tf_keras.initializers.get(
          attention_initializer)
    else:
      self._attention_initializer = tf_utils.clone_initializer(
    Severity: Major
    Found in official/nlp/modeling/layers/tn_transformer_expand_condense.py and 4 other locations - About 45 mins to fix
    official/nlp/modeling/layers/reuse_transformer.py on lines 132..137
    official/nlp/modeling/layers/transformer.py on lines 234..239
    official/projects/detr/modeling/transformer.py on lines 235..240
    official/projects/detr/modeling/transformer.py on lines 656..661

    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 35.

    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 10 locations. Consider refactoring.
    Open

        if self._norm_first:
      layer_output = source_attention_output + layer_output
    else:
      layer_output = self._output_layer_norm(layer_output + attention_output)
    Severity: Major
    Found in official/nlp/modeling/layers/tn_transformer_expand_condense.py and 9 other locations - About 45 mins to fix
    official/nlp/modeling/layers/reuse_transformer.py on lines 338..341
    official/nlp/modeling/layers/tn_transformer_expand_condense.py on lines 235..238
    official/nlp/modeling/layers/transformer.py on lines 419..423
    official/nlp/modeling/layers/transformer.py on lines 438..442
    official/nlp/modeling/layers/transformer.py on lines 453..456
    official/projects/detr/modeling/transformer.py on lines 402..405
    official/projects/detr/modeling/transformer.py on lines 814..818
    official/projects/detr/modeling/transformer.py on lines 830..834
    official/projects/detr/modeling/transformer.py on lines 845..848

    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 35.

    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 10 locations. Consider refactoring.
    Open

        if self._norm_first:
      attention_output = source_tensor + attention_output
    else:
      attention_output = self._attention_layer_norm(target_tensor +
    Severity: Major
    Found in official/nlp/modeling/layers/tn_transformer_expand_condense.py and 9 other locations - About 45 mins to fix
    official/nlp/modeling/layers/reuse_transformer.py on lines 338..341
    official/nlp/modeling/layers/tn_transformer_expand_condense.py on lines 250..253
    official/nlp/modeling/layers/transformer.py on lines 419..423
    official/nlp/modeling/layers/transformer.py on lines 438..442
    official/nlp/modeling/layers/transformer.py on lines 453..456
    official/projects/detr/modeling/transformer.py on lines 402..405
    official/projects/detr/modeling/transformer.py on lines 814..818
    official/projects/detr/modeling/transformer.py on lines 830..834
    official/projects/detr/modeling/transformer.py on lines 845..848

    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 35.

    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/tn_transformer_expand_condense.py and 6 other locations - About 35 mins to fix
    official/nlp/modeling/layers/gated_feedforward.py on lines 103..108
    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/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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