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official/projects/assemblenet/modeling/assemblenet.py

Summary

Maintainability
F
4 days
Test Coverage

File assemblenet.py has 878 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
Severity: Major
Found in official/projects/assemblenet/modeling/assemblenet.py - About 2 days to fix

    Function __init__ has a Cognitive Complexity of 19 (exceeds 5 allowed). Consider refactoring.
    Open

      def __init__(
          self,
          block_fn,
          num_blocks: List[int],
          num_frames: int,
    Severity: Minor
    Found in official/projects/assemblenet/modeling/assemblenet.py - About 2 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 multi_connection_fusion has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring.
    Open

    def multi_connection_fusion(inputs: List[tf.Tensor],
                                index: Optional[int] = None,
                                use_5d_mode: bool = False,
                                model_edge_weights: Optional[List[Any]] = None):
      """Do weighted summation of multiple different sized tensors.
    Severity: Minor
    Found in official/projects/assemblenet/modeling/assemblenet.py - About 2 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 call has a Cognitive Complexity of 13 (exceeds 5 allowed). Consider refactoring.
    Open

      def call(self,
               inputs: List[tf.Tensor],
               training: Optional[bool] = None) -> Mapping[Any, List[tf.Tensor]]:
        use_5d_mode = self._use_5d_mode
        dtype = inputs[0].dtype
    Severity: Minor
    Found in official/projects/assemblenet/modeling/assemblenet.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 bottleneck_block_interleave has 11 arguments (exceeds 4 allowed). Consider refactoring.
    Open

    def bottleneck_block_interleave(inputs: tf.Tensor,
    Severity: Major
    Found in official/projects/assemblenet/modeling/assemblenet.py - About 1 hr to fix

      Function __init__ has 11 arguments (exceeds 4 allowed). Consider refactoring.
      Open

        def __init__(
      Severity: Major
      Found in official/projects/assemblenet/modeling/assemblenet.py - About 1 hr to fix

        Function assemblenet_v1 has 9 arguments (exceeds 4 allowed). Consider refactoring.
        Open

        def assemblenet_v1(assemblenet_depth: int,
        Severity: Major
        Found in official/projects/assemblenet/modeling/assemblenet.py - About 1 hr to fix

          Function block_group has 9 arguments (exceeds 4 allowed). Consider refactoring.
          Open

          def block_group(inputs: tf.Tensor,
          Severity: Major
          Found in official/projects/assemblenet/modeling/assemblenet.py - About 1 hr to fix

            Function reshape_temporal_conv1d_bn has 8 arguments (exceeds 4 allowed). Consider refactoring.
            Open

            def reshape_temporal_conv1d_bn(inputs: tf.Tensor,
            Severity: Major
            Found in official/projects/assemblenet/modeling/assemblenet.py - About 1 hr to fix

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

              def rgb_conv_stem(inputs,
              Severity: Major
              Found in official/projects/assemblenet/modeling/assemblenet.py - About 50 mins to fix

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

                  def __init__(self,
                Severity: Major
                Found in official/projects/assemblenet/modeling/assemblenet.py - About 50 mins to fix

                  Function conv3d_same_padding has 6 arguments (exceeds 4 allowed). Consider refactoring.
                  Open

                  def conv3d_same_padding(inputs: tf.Tensor,
                  Severity: Minor
                  Found in official/projects/assemblenet/modeling/assemblenet.py - About 45 mins to fix

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

                    def flow_conv_stem(inputs,
                    Severity: Minor
                    Found in official/projects/assemblenet/modeling/assemblenet.py - About 45 mins to fix

                      Function __init__ has 5 arguments (exceeds 4 allowed). Consider refactoring.
                      Open

                        def __init__(self,
                      Severity: Minor
                      Found in official/projects/assemblenet/modeling/assemblenet.py - About 35 mins to fix

                        Function multi_stream_heads has 5 arguments (exceeds 4 allowed). Consider refactoring.
                        Open

                        def multi_stream_heads(streams,
                        Severity: Minor
                        Found in official/projects/assemblenet/modeling/assemblenet.py - About 35 mins to fix

                          Function spatial_resize_and_concat has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
                          Open

                          def spatial_resize_and_concat(inputs):
                            """Concatenates multiple different sized tensors channel-wise.
                          
                            Args:
                              inputs: A list of `Tensors` of size `[batch*time, channels, height, width]`.
                          Severity: Minor
                          Found in official/projects/assemblenet/modeling/assemblenet.py - About 35 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

                          There are no issues that match your filters.

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