tensorflow/models

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research/deeplab/utils/train_utils.py

Summary

Maintainability
D
1 day
Test Coverage

Function add_softmax_cross_entropy_loss_for_each_scale has a Cognitive Complexity of 27 (exceeds 5 allowed). Consider refactoring.
Open

def add_softmax_cross_entropy_loss_for_each_scale(scales_to_logits,
                                                  labels,
                                                  num_classes,
                                                  ignore_label,
                                                  loss_weight=1.0,
Severity: Minor
Found in research/deeplab/utils/train_utils.py - About 3 hrs 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

File train_utils.py has 282 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Lint as: python2, python3
# Copyright 2018 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
Severity: Minor
Found in research/deeplab/utils/train_utils.py - About 2 hrs to fix

    Function get_model_learning_rate has 13 arguments (exceeds 4 allowed). Consider refactoring.
    Open

    def get_model_learning_rate(learning_policy,
    Severity: Major
    Found in research/deeplab/utils/train_utils.py - About 1 hr to fix

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

      def get_model_learning_rate(learning_policy,
                                  base_learning_rate,
                                  learning_rate_decay_step,
                                  learning_rate_decay_factor,
                                  training_number_of_steps,
      Severity: Minor
      Found in research/deeplab/utils/train_utils.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 add_softmax_cross_entropy_loss_for_each_scale has 10 arguments (exceeds 4 allowed). Consider refactoring.
      Open

      def add_softmax_cross_entropy_loss_for_each_scale(scales_to_logits,
      Severity: Major
      Found in research/deeplab/utils/train_utils.py - About 1 hr to fix

        Function get_model_gradient_multipliers has a Cognitive Complexity of 10 (exceeds 5 allowed). Consider refactoring.
        Open

        def get_model_gradient_multipliers(last_layers, last_layer_gradient_multiplier):
          """Gets the gradient multipliers.
        
          The gradient multipliers will adjust the learning rates for model
          variables. For the task of semantic segmentation, the models are
        Severity: Minor
        Found in research/deeplab/utils/train_utils.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 get_model_init_fn has 5 arguments (exceeds 4 allowed). Consider refactoring.
        Open

        def get_model_init_fn(train_logdir,
        Severity: Minor
        Found in research/deeplab/utils/train_utils.py - About 35 mins to fix

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

                logits = tf.image.resize_bilinear(
                    logits,
                    preprocess_utils.resolve_shape(labels, 4)[1:3],
          Severity: Minor
          Found in research/deeplab/utils/train_utils.py and 1 other location - About 35 mins to fix
          research/deeplab/utils/train_utils.py on lines 106..108

          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

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

                scaled_labels = tf.image.resize_nearest_neighbor(
                    labels,
                    preprocess_utils.resolve_shape(logits, 4)[1:3],
          Severity: Minor
          Found in research/deeplab/utils/train_utils.py and 1 other location - About 35 mins to fix
          research/deeplab/utils/train_utils.py on lines 89..91

          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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