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official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v1_model_blocks.py

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Maintainability
C
1 day
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File mobilenet_edgetpu_v1_model_blocks.py has 314 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2024 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

    Function mb_conv_block has a Cognitive Complexity of 17 (exceeds 5 allowed). Consider refactoring.
    Open

    def mb_conv_block(inputs: tf.Tensor,
                      block: BlockConfig,
                      config: ModelConfig,
                      prefix: Optional[str] = None):
      """Mobile Inverted Residual Bottleneck.

    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 conv2d_block has 10 arguments (exceeds 4 allowed). Consider refactoring.
    Open

    def conv2d_block(inputs: tf.Tensor,

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

      def mobilenet_edgetpu(image_input: tf_keras.layers.Input, config: ModelConfig):  # pytype: disable=invalid-annotation  # typed-keras
        """Creates a MobilenetEdgeTPU graph given the model parameters.
      
        This function is wrapped by the `MobilenetEdgeTPU` class to make a
        tf_keras.Model.

      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 mobilenet_edgetpu has 27 lines of code (exceeds 25 allowed). Consider refactoring.
      Open

      def mobilenet_edgetpu(image_input: tf_keras.layers.Input, config: ModelConfig):  # pytype: disable=invalid-annotation  # typed-keras
        """Creates a MobilenetEdgeTPU graph given the model parameters.
      
        This function is wrapped by the `MobilenetEdgeTPU` class to make a
        tf_keras.Model.

        Function conv2d_block has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
        Open

        def conv2d_block(inputs: tf.Tensor,
                         conv_filters: Optional[int],
                         config: ModelConfig,
                         kernel_size: Any = (1, 1),
                         strides: Any = (1, 1),

        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

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