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research/slim/nets/mobilenet/conv_blocks.py

Summary

Maintainability
F
6 days
Test Coverage

File conv_blocks.py has 396 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# 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.
# You may obtain a copy of the License at
Severity: Minor
Found in research/slim/nets/mobilenet/conv_blocks.py - About 5 hrs to fix

    Function expanded_conv has a Cognitive Complexity of 34 (exceeds 5 allowed). Consider refactoring.
    Open

    def expanded_conv(input_tensor,
                      num_outputs,
                      expansion_size=expand_input_by_factor(6),
                      stride=1,
                      rate=1,
    Severity: Minor
    Found in research/slim/nets/mobilenet/conv_blocks.py - About 5 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

    Function expanded_conv has 24 arguments (exceeds 4 allowed). Consider refactoring.
    Open

    def expanded_conv(input_tensor,
    Severity: Major
    Found in research/slim/nets/mobilenet/conv_blocks.py - About 3 hrs to fix

      Function split_separable_conv2d has 8 arguments (exceeds 4 allowed). Consider refactoring.
      Open

      def split_separable_conv2d(input_tensor,
      Severity: Major
      Found in research/slim/nets/mobilenet/conv_blocks.py - About 1 hr to fix

        Function squeeze_excite has 7 arguments (exceeds 4 allowed). Consider refactoring.
        Open

        def squeeze_excite(input_tensor,
        Severity: Major
        Found in research/slim/nets/mobilenet/conv_blocks.py - About 50 mins to fix

          Function split_conv has 6 arguments (exceeds 4 allowed). Consider refactoring.
          Open

          def split_conv(input_tensor,
          Severity: Minor
          Found in research/slim/nets/mobilenet/conv_blocks.py - About 45 mins to fix

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

            def _fixed_padding(inputs, kernel_size, rate=1):
              """Pads the input along the spatial dimensions independently of input size.
            
              Pads the input such that if it was used in a convolution with 'VALID' padding,
              the output would have the same dimensions as if the unpadded input was used
            Severity: Major
            Found in research/slim/nets/mobilenet/conv_blocks.py and 1 other location - About 2 days to fix
            research/object_detection/models/keras_models/mobilenet_v1.py on lines 28..51

            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 257.

            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 3 locations. Consider refactoring.
            Open

            def _make_divisible(v, divisor, min_value=None):
              if min_value is None:
                min_value = divisor
              new_v = max(min_value, int(v + divisor / 2) // divisor * divisor)
              # Make sure that round down does not go down by more than 10%.
            Severity: Major
            Found in research/slim/nets/mobilenet/conv_blocks.py and 2 other locations - About 5 hrs to fix
            research/object_detection/models/keras_models/base_models/original_mobilenet_v2.py on lines 218..225
            research/object_detection/models/keras_models/mobilenet_v2.py on lines 30..37

            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 89.

            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 depthwise_location == 'input':
                  if use_explicit_padding:
                    net = _fixed_padding(net, kernel_size, rate)
                  net = depthwise_func(net, activation_fn=None)
                  net = tf.identity(net, name='depthwise_output')
            Severity: Major
            Found in research/slim/nets/mobilenet/conv_blocks.py and 1 other location - About 4 hrs to fix
            research/slim/nets/mobilenet/conv_blocks.py on lines 384..390

            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 74.

            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 depthwise_location == 'output':
                  if use_explicit_padding:
                    net = _fixed_padding(net, kernel_size, rate)
                  net = depthwise_func(net, activation_fn=None)
                  net = tf.identity(net, name='depthwise_output')
            Severity: Major
            Found in research/slim/nets/mobilenet/conv_blocks.py and 1 other location - About 4 hrs to fix
            research/slim/nets/mobilenet/conv_blocks.py on lines 329..335

            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 74.

            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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