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
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,
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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.
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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
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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,
Function __init__
has 11 arguments (exceeds 4 allowed). Consider refactoring. Open
def __init__(
Function assemblenet_v1
has 9 arguments (exceeds 4 allowed). Consider refactoring. Open
def assemblenet_v1(assemblenet_depth: int,
Function block_group
has 9 arguments (exceeds 4 allowed). Consider refactoring. Open
def block_group(inputs: tf.Tensor,
Function reshape_temporal_conv1d_bn
has 8 arguments (exceeds 4 allowed). Consider refactoring. Open
def reshape_temporal_conv1d_bn(inputs: tf.Tensor,
Function rgb_conv_stem
has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
def rgb_conv_stem(inputs,
Function __init__
has 7 arguments (exceeds 4 allowed). Consider refactoring. Open
def __init__(self,
Function conv3d_same_padding
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def conv3d_same_padding(inputs: tf.Tensor,
Function flow_conv_stem
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
def flow_conv_stem(inputs,
Function __init__
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def __init__(self,
Function multi_stream_heads
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
def multi_stream_heads(streams,
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]`.
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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"