tensorflow/python/ops/data_flow_ops.py
File data_flow_ops.py
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# Copyright 2017 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__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function __init__
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def __init__(self,
Function apply_grad
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def apply_grad(self,
Function __init__
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def __init__(self, types, shapes=None, shared_name=None, name="barrier"):
Function insert_many
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def insert_many(self, component_index, keys, values, name=None):
Function take_many
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def take_many(self,
Function put
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def put(self, key, vals, indices=None, name=None):
Function __init__
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def __init__(self, dtypes, shapes, names, queue_ref):
Function _as_shape_list
has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring. Open
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def _as_shape_list(shapes,
dtypes,
unknown_dim_allowed=False,
unknown_rank_allowed=False):
"""Convert shapes to a list of tuples of int (or None)."""
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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"