Local variable referenced before assignment in Python

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# Local variable referenced before assignment in Python

The Python "UnboundLocalError: Local variable referenced before assignment" occurs when we reference a local variable before assigning a value to it in a function.

To solve the error, mark the variable as global in the function definition, e.g. global my_var .

unboundlocalerror local variable name referenced before assignment

Here is an example of how the error occurs.

We assign a value to the name variable in the function.

# Mark the variable as global to solve the error

To solve the error, mark the variable as global in your function definition.

mark variable as global

If a variable is assigned a value in a function's body, it is a local variable unless explicitly declared as global .

# Local variables shadow global ones with the same name

You could reference the global name variable from inside the function but if you assign a value to the variable in the function's body, the local variable shadows the global one.

accessing global variables in functions

Accessing the name variable in the function is perfectly fine.

On the other hand, variables declared in a function cannot be accessed from the global scope.

variables declared in function cannot be accessed in global scope

The name variable is declared in the function, so trying to access it from outside causes an error.

Make sure you don't try to access the variable before using the global keyword, otherwise, you'd get the SyntaxError: name 'X' is used prior to global declaration error.

# Returning a value from the function instead

An alternative solution to using the global keyword is to return a value from the function and use the value to reassign the global variable.

return value from the function

We simply return the value that we eventually use to assign to the name global variable.

# Passing the global variable as an argument to the function

You should also consider passing the global variable as an argument to the function.

pass global variable as argument to function

We passed the name global variable as an argument to the function.

If we assign a value to a variable in a function, the variable is assumed to be local unless explicitly declared as global .

# Assigning a value to a local variable from an outer scope

If you have a nested function and are trying to assign a value to the local variables from the outer function, use the nonlocal keyword.

assign value to local variable from outer scope

The nonlocal keyword allows us to work with the local variables of enclosing functions.

Had we not used the nonlocal statement, the call to the print() function would have returned an empty string.

not using nonlocal prints empty string

Printing the message variable on the last line of the function shows an empty string because the inner() function has its own scope.

Changing the value of the variable in the inner scope is not possible unless we use the nonlocal keyword.

Instead, the message variable in the inner function simply shadows the variable with the same name from the outer scope.

# Discussion

As shown in this section of the documentation, when you assign a value to a variable inside a function, the variable:

  • Becomes local to the scope.
  • Shadows any variables from the outer scope that have the same name.

The last line in the example function assigns a value to the name variable, marking it as a local variable and shadowing the name variable from the outer scope.

At the time the print(name) line runs, the name variable is not yet initialized, which causes the error.

The most intuitive way to solve the error is to use the global keyword.

The global keyword is used to indicate to Python that we are actually modifying the value of the name variable from the outer scope.

  • If a variable is only referenced inside a function, it is implicitly global.
  • If a variable is assigned a value inside a function's body, it is assumed to be local, unless explicitly marked as global .

If you want to read more about why this error occurs, check out [this section] ( this section ) of the docs.

# Additional Resources

You can learn more about the related topics by checking out the following tutorials:

  • SyntaxError: name 'X' is used prior to global declaration

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[SOLVED] Local Variable Referenced Before Assignment

local variable referenced before assignment

Python treats variables referenced only inside a function as global variables. Any variable assigned to a function’s body is assumed to be a local variable unless explicitly declared as global.

Why Does This Error Occur?

Unboundlocalerror: local variable referenced before assignment occurs when a variable is used before its created. Python does not have the concept of variable declarations. Hence it searches for the variable whenever used. When not found, it throws the error.

Before we hop into the solutions, let’s have a look at what is the global and local variables.

Local Variable Declarations vs. Global Variable Declarations

Local VariablesGlobal Variables
A variable is declared primarily within a Python function.Global variables are in the global scope, outside a function.
A local variable is created when the function is called and destroyed when the execution is finished.A Variable is created upon execution and exists in memory till the program stops.
Local Variables can only be accessed within their own function.All functions of the program can access global variables.
Local variables are immune to changes in the global scope. Thereby being more secure.Global Variables are less safer from manipulation as they are accessible in the global scope.

[Fixed] typeerror can’t compare datetime.datetime to datetime.date

Local Variable Referenced Before Assignment Error with Explanation

Try these examples yourself using our Online Compiler.

Let’s look at the following function:

Local Variable Referenced Before Assignment Error

Explanation

The variable myVar has been assigned a value twice. Once before the declaration of myFunction and within myFunction itself.

Using Global Variables

Passing the variable as global allows the function to recognize the variable outside the function.

Create Functions that Take in Parameters

Instead of initializing myVar as a global or local variable, it can be passed to the function as a parameter. This removes the need to create a variable in memory.

UnboundLocalError: local variable ‘DISTRO_NAME’

This error may occur when trying to launch the Anaconda Navigator in Linux Systems.

Upon launching Anaconda Navigator, the opening screen freezes and doesn’t proceed to load.

Try and update your Anaconda Navigator with the following command.

If solution one doesn’t work, you have to edit a file located at

After finding and opening the Python file, make the following changes:

In the function on line 159, simply add the line:

DISTRO_NAME = None

Save the file and re-launch Anaconda Navigator.

DJANGO – Local Variable Referenced Before Assignment [Form]

The program takes information from a form filled out by a user. Accordingly, an email is sent using the information.

Upon running you get the following error:

We have created a class myForm that creates instances of Django forms. It extracts the user’s name, email, and message to be sent.

A function GetContact is created to use the information from the Django form and produce an email. It takes one request parameter. Prior to sending the email, the function verifies the validity of the form. Upon True , .get() function is passed to fetch the name, email, and message. Finally, the email sent via the send_mail function

Why does the error occur?

We are initializing form under the if request.method == “POST” condition statement. Using the GET request, our variable form doesn’t get defined.

Local variable Referenced before assignment but it is global

This is a common error that happens when we don’t provide a value to a variable and reference it. This can happen with local variables. Global variables can’t be assigned.

This error message is raised when a variable is referenced before it has been assigned a value within the local scope of a function, even though it is a global variable.

Here’s an example to help illustrate the problem:

In this example, x is a global variable that is defined outside of the function my_func(). However, when we try to print the value of x inside the function, we get a UnboundLocalError with the message “local variable ‘x’ referenced before assignment”.

This is because the += operator implicitly creates a local variable within the function’s scope, which shadows the global variable of the same name. Since we’re trying to access the value of x before it’s been assigned a value within the local scope, the interpreter raises an error.

To fix this, you can use the global keyword to explicitly refer to the global variable within the function’s scope:

However, in the above example, the global keyword tells Python that we want to modify the value of the global variable x, rather than creating a new local variable. This allows us to access and modify the global variable within the function’s scope, without causing any errors.

Local variable ‘version’ referenced before assignment ubuntu-drivers

This error occurs with Ubuntu version drivers. To solve this error, you can re-specify the version information and give a split as 2 –

Here, p_name means package name.

With the help of the threading module, you can avoid using global variables in multi-threading. Make sure you lock and release your threads correctly to avoid the race condition.

When a variable that is created locally is called before assigning, it results in Unbound Local Error in Python. The interpreter can’t track the variable.

Therefore, we have examined the local variable referenced before the assignment Exception in Python. The differences between a local and global variable declaration have been explained, and multiple solutions regarding the issue have been provided.

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[Fixed] nameerror: name Unicode is not defined

How to fix UnboundLocalError: local variable 'x' referenced before assignment in Python

unboundlocalerror local variable 'word' referenced before assignment

You could also see this error when you forget to pass the variable as an argument to your function.

How to reproduce this error

How to fix this error.

I hope this tutorial is useful. See you in other tutorials.

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Python UnboundLocalError: local variable referenced before assignment

by Suf | Programming , Python , Tips

If you try to reference a local variable before assigning a value to it within the body of a function, you will encounter the UnboundLocalError: local variable referenced before assignment.

The preferable way to solve this error is to pass parameters to your function, for example:

Alternatively, you can declare the variable as global to access it while inside a function. For example,

This tutorial will go through the error in detail and how to solve it with code examples .

Table of contents

What is scope in python, unboundlocalerror: local variable referenced before assignment, solution #1: passing parameters to the function, solution #2: use global keyword, solution #1: include else statement, solution #2: use global keyword.

Scope refers to a variable being only available inside the region where it was created. A variable created inside a function belongs to the local scope of that function, and we can only use that variable inside that function.

A variable created in the main body of the Python code is a global variable and belongs to the global scope. Global variables are available within any scope, global and local.

UnboundLocalError occurs when we try to modify a variable defined as local before creating it. If we only need to read a variable within a function, we can do so without using the global keyword. Consider the following example that demonstrates a variable var created with global scope and accessed from test_func :

If we try to assign a value to var within test_func , the Python interpreter will raise the UnboundLocalError:

This error occurs because when we make an assignment to a variable in a scope, that variable becomes local to that scope and overrides any variable with the same name in the global or outer scope.

var +=1 is similar to var = var + 1 , therefore the Python interpreter should first read var , perform the addition and assign the value back to var .

var is a variable local to test_func , so the variable is read or referenced before we have assigned it. As a result, the Python interpreter raises the UnboundLocalError.

Example #1: Accessing a Local Variable

Let’s look at an example where we define a global variable number. We will use the increment_func to increase the numerical value of number by 1.

Let’s run the code to see what happens:

The error occurs because we tried to read a local variable before assigning a value to it.

We can solve this error by passing a parameter to increment_func . This solution is the preferred approach. Typically Python developers avoid declaring global variables unless they are necessary. Let’s look at the revised code:

We have assigned a value to number and passed it to the increment_func , which will resolve the UnboundLocalError. Let’s run the code to see the result:

We successfully printed the value to the console.

We also can solve this error by using the global keyword. The global statement tells the Python interpreter that inside increment_func , the variable number is a global variable even if we assign to it in increment_func . Let’s look at the revised code:

Let’s run the code to see the result:

Example #2: Function with if-elif statements

Let’s look at an example where we collect a score from a player of a game to rank their level of expertise. The variable we will use is called score and the calculate_level function takes in score as a parameter and returns a string containing the player’s level .

In the above code, we have a series of if-elif statements for assigning a string to the level variable. Let’s run the code to see what happens:

The error occurs because we input a score equal to 40 . The conditional statements in the function do not account for a value below 55 , therefore when we call the calculate_level function, Python will attempt to return level without any value assigned to it.

We can solve this error by completing the set of conditions with an else statement. The else statement will provide an assignment to level for all scores lower than 55 . Let’s look at the revised code:

In the above code, all scores below 55 are given the beginner level. Let’s run the code to see what happens:

We can also create a global variable level and then use the global keyword inside calculate_level . Using the global keyword will ensure that the variable is available in the local scope of the calculate_level function. Let’s look at the revised code.

In the above code, we put the global statement inside the function and at the beginning. Note that the “default” value of level is beginner and we do not include the else statement in the function. Let’s run the code to see the result:

Congratulations on reading to the end of this tutorial! The UnboundLocalError: local variable referenced before assignment occurs when you try to reference a local variable before assigning a value to it. Preferably, you can solve this error by passing parameters to your function. Alternatively, you can use the global keyword.

If you have if-elif statements in your code where you assign a value to a local variable and do not account for all outcomes, you may encounter this error. In which case, you must include an else statement to account for the missing outcome.

For further reading on Python code blocks and structure, go to the article: How to Solve Python IndentationError: unindent does not match any outer indentation level .

Go to the  online courses page on Python  to learn more about Python for data science and machine learning.

Have fun and happy researching!

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UnboundLocalError Local variable Referenced Before Assignment in Python

Handling errors is an integral part of writing robust and reliable Python code. One common stumbling block that developers often encounter is the “UnboundLocalError” raised within a try-except block. This error can be perplexing for those unfamiliar with its nuances but fear not – in this article, we will delve into the intricacies of the UnboundLocalError and provide a comprehensive guide on how to effectively use try-except statements to resolve it.

What is UnboundLocalError Local variable Referenced Before Assignment in Python?

The UnboundLocalError occurs when a local variable is referenced before it has been assigned a value within a function or method. This error typically surfaces when utilizing try-except blocks to handle exceptions, creating a puzzle for developers trying to comprehend its origins and find a solution.

Why does UnboundLocalError: Local variable Referenced Before Assignment Occur?

below, are the reasons of occurring “Unboundlocalerror: Try Except Statements” in Python :

Variable Assignment Inside Try Block

Reassigning a global variable inside except block.

  • Accessing a Variable Defined Inside an If Block

In the below code, example_function attempts to execute some_operation within a try-except block. If an exception occurs, it prints an error message. However, if no exception occurs, it prints the value of the variable result outside the try block, leading to an UnboundLocalError since result might not be defined if an exception was caught.

In below code , modify_global function attempts to increment the global variable global_var within a try block, but it raises an UnboundLocalError. This error occurs because the function treats global_var as a local variable due to the assignment operation within the try block.

Solution for UnboundLocalError Local variable Referenced Before Assignment

Below, are the approaches to solve “Unboundlocalerror: Try Except Statements”.

Initialize Variables Outside the Try Block

Avoid reassignment of global variables.

In modification to the example_function is correct. Initializing the variable result before the try block ensures that it exists even if an exception occurs within the try block. This helps prevent UnboundLocalError when trying to access result in the print statement outside the try block.

 

Below, code calculates a new value ( local_var ) based on the global variable and then prints both the local and global variables separately. It demonstrates that the global variable is accessed directly without being reassigned within the function.

In conclusion , To fix “UnboundLocalError” related to try-except statements, ensure that variables used within the try block are initialized before the try block starts. This can be achieved by declaring the variables with default values or assigning them None outside the try block. Additionally, when modifying global variables within a try block, use the `global` keyword to explicitly declare them.

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Python local variable referenced before assignment Solution

When you start introducing functions into your code, you’re bound to encounter an UnboundLocalError at some point. This error is raised when you try to use a variable before it has been assigned in the local context .

In this guide, we talk about what this error means and why it is raised. We walk through an example of this error in action to help you understand how you can solve it.

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What is unboundlocalerror: local variable referenced before assignment.

Trying to assign a value to a variable that does not have local scope can result in this error:

Python has a simple rule to determine the scope of a variable. If a variable is assigned in a function , that variable is local. This is because it is assumed that when you define a variable inside a function you only need to access it inside that function.

There are two variable scopes in Python: local and global. Global variables are accessible throughout an entire program; local variables are only accessible within the function in which they are originally defined.

Let’s take a look at how to solve this error.

An Example Scenario

We’re going to write a program that calculates the grade a student has earned in class.

We start by declaring two variables:

These variables store the numerical and letter grades a student has earned, respectively. By default, the value of “letter” is “F”. Next, we write a function that calculates a student’s letter grade based on their numerical grade using an “if” statement :

Finally, we call our function:

This line of code prints out the value returned by the calculate_grade() function to the console. We pass through one parameter into our function: numerical. This is the numerical value of the grade a student has earned.

Let’s run our code and see what happens:

An error has been raised.

The Solution

Our code returns an error because we reference “letter” before we assign it.

We have set the value of “numerical” to 42. Our if statement does not set a value for any grade over 50. This means that when we call our calculate_grade() function, our return statement does not know the value to which we are referring.

We do define “letter” at the start of our program. However, we define it in the global context. Python treats “return letter” as trying to return a local variable called “letter”, not a global variable.

We solve this problem in two ways. First, we can add an else statement to our code. This ensures we declare “letter” before we try to return it:

Let’s try to run our code again:

Our code successfully prints out the student’s grade.

If you are using an “if” statement where you declare a variable, you should make sure there is an “else” statement in place. This will make sure that even if none of your if statements evaluate to True, you can still set a value for the variable with which you are going to work.

Alternatively, we could use the “global” keyword to make our global keyword available in the local context in our calculate_grade() function. However, this approach is likely to lead to more confusing code and other issues. In general, variables should not be declared using “global” unless absolutely necessary . Your first, and main, port of call should always be to make sure that a variable is correctly defined.

In the example above, for instance, we did not check that the variable “letter” was defined in all use cases.

That’s it! We have fixed the local variable error in our code.

The UnboundLocalError: local variable referenced before assignment error is raised when you try to assign a value to a local variable before it has been declared. You can solve this error by ensuring that a local variable is declared before you assign it a value.

Now you’re ready to solve UnboundLocalError Python errors like a professional developer !

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How to Fix Local Variable Referenced Before Assignment Error in Python

How to Fix Local Variable Referenced Before Assignment Error in Python

Table of Contents

Fixing local variable referenced before assignment error.

In Python , when you try to reference a variable that hasn't yet been given a value (assigned), it will throw an error.

That error will look like this:

In this post, we'll see examples of what causes this and how to fix it.

Let's begin by looking at an example of this error:

If you run this code, you'll get

The issue is that in this line:

We are defining a local variable called value and then trying to use it before it has been assigned a value, instead of using the variable that we defined in the first line.

If we want to refer the variable that was defined in the first line, we can make use of the global keyword.

The global keyword is used to refer to a variable that is defined outside of a function.

Let's look at how using global can fix our issue here:

Global variables have global scope, so you can referenced them anywhere in your code, thus avoiding the error.

If you run this code, you'll get this output:

In this post, we learned at how to avoid the local variable referenced before assignment error in Python.

The error stems from trying to refer to a variable without an assigned value, so either make use of a global variable using the global keyword, or assign the variable a value before using it.

Thanks for reading!

unboundlocalerror local variable 'word' referenced before assignment

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Python 3: UnboundLocalError: local variable referenced before assignment

This error occurs when you are trying to access a variable before it has been assigned a value. Here is an example of a code snippet that would raise this error:

Watch a video course Python - The Practical Guide

The error message will be:

In this example, the variable x is being accessed before it is assigned a value, which is causing the error. To fix this, you can either move the assignment of the variable x before the print statement, or give it an initial value before the print statement.

Both will work without any error.

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UnboundLocalError: local variable ‘trialList’ referenced before assignment

OS (e.g. Win10): macOS13.2.1 PsychoPy version (e.g. 1.84.x): 2022.2.5 What are you trying to achieve?: upload a csv making it a condition for trials

What did you try to make it work?: I’ve reload PsychoPy version from 2023 to 2022, and my friends’ mac works with the 2022 version. Also, I checked my csv file to make sure it’s right for PsychoPy.

What specifically went wrong when you tried that?: Traceback (most recent call last): File “/Applications/PsychoPy.app/Contents/Resources/lib/python3.8/psychopy/app/builder/dialogs/ init .py”, line 1531, in onBrowseTrialsFile File “/Applications/PsychoPy.app/Contents/Resources/lib/python3.8/psychopy/data/utils.py”, line 466, in importConditions UnboundLocalError: local variable ‘trialList’ referenced before assignment

Check your conditions file for spaces in the column names

Thanks for your answering, I’ve checked it. Below is my file, hope you can find the error I get. conditions_1.csv (139 Bytes)

I’ve also tried to use commas rather than semicolons, it causes the same error message.

Sorry for the delay. I’ve just checked our bug fixes and I think this is due to one of your columns being called corrAns, which accidentally got used by the developers for something else.

It should be fixed if your change your column to something else (e.g. corrAnswer) or you could try the 2024.1.0 release which is now available to download from Releases · psychopy/psychopy · GitHub

However, it may be something else, such as:

or maybe you have used word or congruent as an object name as well as a variable

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UnboundLocalError: local variable referenced before assignment

I have following simple function to get percent values for different cover types from a raster. It gives me following error: UnboundLocalError: local variable 'a' referenced before assignment

which isn't clear to me. Any suggestions?

  • arcgis-10.1
  • unboundlocalerror

PolyGeo's user avatar

  • 1 Because if row.getValue("Value") == 1 might be false and so a never gets assigned. –  Nathan W Commented May 20, 2013 at 2:39
  • It has value and do gets assigned. I checked it in arcmap interactive python window but can't get it to work in a stand alone script. –  Ibe Commented May 20, 2013 at 2:44
  • 1 your loop will also only give you the values of the last loop iteration as you are returning out of the loop and not doing anything with each value. –  Nathan W Commented May 20, 2013 at 2:49
  • You could use 3 x elif and an else to see if any values other than 1-4 are encountered. –  PolyGeo ♦ Commented May 20, 2013 at 3:44
  • I tried that way as well but still hung up with error. –  Ibe Commented May 20, 2013 at 4:15

This error is pretty much explained here and it helped me to get assignments and return values for all variables.

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Unbound local error: ("local variable referenced before assignment")

Am I missing something? I've written something akin to this plenty of times and I've never gotten this error but maybe it's something really stupid?

Analysa's user avatar

  • If it helps, I'm simply trying to make a column 'Deck_ID' that will do the following logic: if row['Cabin'] == nan, 'NONE' if row['Cabin'] == 'F G14', 'G' if row['Cabin'] == 'A34 A32', 'A' –  Analysa Commented Sep 13, 2017 at 19:10

2 Answers 2

Another way to write this, using vectorized string methods is:

which yields

Alternatively, if I understand the Cabin --> Deck_ID naming pattern correctly, perhaps

would suffice, since

The regex pattern (\D\d*)?\s*(\D\d+) has the following meaning:

unutbu's user avatar

  • damn. That's good! On something small like this, it may not matter but in your experience unutbu, is this more efficient for large data sets since it avoids for loops? –  Analysa Commented Sep 13, 2017 at 19:42
  • @Analysa: Yes, that's exactly why the vectorized string methods are preferred. Applying a Cythonized function (like the string methods) to whole columns is generally far faster than looping over rows when the DataFrame is large. –  unutbu Commented Sep 13, 2017 at 19:49

OHH I just ran my logic. I think it is indeed something stupid.

isn't even reading true because I should have if it DOES ==-1 since it didn't find it. I'm an idiot ;)

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local variable 'region_labels' referenced before assignment #2181

@Lars-Kraemer

IEbokai commented May 14, 2024

I get this error when I run training:
nnUNetv2_train 137 3d_fullres 0

############################
INFO: You are using the old nnU-Net default plans. We have updated our recommendations. Please consider using those instead! Read more here:
############################

Using device: cuda:0

#######################################################################
Please cite the following paper when using nnU-Net:
Isensee, F., Jaeger, P. F., Kohl, S. A., Petersen, J., & Maier-Hein, K. H. (2021). nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods, 18(2), 203-211.
#######################################################################

2024-05-14 20:41:51.961834: do_dummy_2d_data_aug: False
2024-05-14 20:41:52.117781: Using splits from existing split file: ./Data/nnUNetdataset/nnUNetv2/nnUNet_preprocessed/Dataset137_BraTS2021/splits_final.json
2024-05-14 20:41:52.122275: The split file contains 5 splits.
2024-05-14 20:41:52.123136: Desired fold for training: 0
2024-05-14 20:41:52.123788: This split has 1000 training and 251 validation cases.
using pin_memory on device 0
Exception in background worker 10:
local variable 'region_labels' referenced before assignment
Traceback (most recent call last):
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgenerators/dataloading/nondet_multi_threaded_augmenter.py", line 53, in producer
item = next(data_loader)
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgenerators/dataloading/data_loader.py", line 126, in
return self.generate_train_batch()
File "./package/nnUNet/nnunetv2/training/dataloading/data_loader_3d.py", line 63, in generate_train_batch
tmp = self.transforms(**{'image': data_all[b], 'segmentation': seg_all[b]})
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgeneratorsv2/transforms/base/basic_transform.py", line 18, in
return self.apply(data_dict, **params)
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgeneratorsv2/transforms/utils/compose.py", line 13, in apply
data_dict = t(**data_dict)
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgeneratorsv2/transforms/base/basic_transform.py", line 18, in
return self.apply(data_dict, **params)
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgeneratorsv2/transforms/base/basic_transform.py", line 67, in apply
data_dict['segmentation'] = self._apply_to_segmentation(data_dict['segmentation'], **params)
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgeneratorsv2/transforms/utils/seg_to_regions.py", line 17, in _apply_to_segmentation
if isinstance(region_labels, int) or len(region_labels) == 1:
UnboundLocalError: local variable 'region_labels' referenced before assignment
Traceback (most recent call last):
File "./softwares/anaconda3/envs/nnUNetv2/bin/nnUNetv2_train", line 8, in
sys.exit(run_training_entry())
File "./package/nnUNet/nnunetv2/run/run_training.py", line 275, in run_training_entry
run_training(args.dataset_name_or_id, args.configuration, args.fold, args.tr, args.p, args.pretrained_weights,
File "./package/nnUNet/nnunetv2/run/run_training.py", line 211, in run_training
nnunet_trainer.run_training()
File "./package/nnUNet/nnunetv2/training/nnUNetTrainer/nnUNetTrainer.py", line 1338, in run_training
self.on_train_start()
File "./package/nnUNet/nnunetv2/training/nnUNetTrainer/nnUNetTrainer.py", line 882, in on_train_start
self.dataloader_train, self.dataloader_val = self.get_dataloaders()
File "./package/nnUNet/nnunetv2/training/nnUNetTrainer/nnUNetTrainer.py", line 675, in get_dataloaders
_ = next(mt_gen_train)
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgenerators/dataloading/nondet_multi_threaded_augmenter.py", line 196, in
item = self.__get_next_item()
File "./softwares/anaconda3/envs/nnUNetv2/lib/python3.9/site-packages/batchgenerators/dataloading/nondet_multi_threaded_augmenter.py", line 181, in __get_next_item
raise RuntimeError("One or more background workers are no longer alive. Exiting. Please check the "
RuntimeError: One or more background workers are no longer alive. Exiting. Please check the print statements above for the actual error message

The wrong fuction code is :

ConvertSegmentationToRegionsTransform(SegOnlyTransform): def __init__(self, regions: Union[List, Tuple], channel_in_seg: int = 0): super().__init__() self.regions = regions self.channel_in_seg = channel_in_seg def _apply_to_segmentation(self, segmentation: torch.Tensor, **params) -> torch.Tensor: num_regions = len(self.regions) region_output = torch.zeros((num_regions, *segmentation.shape[1:]), dtype=torch.bool, device=segmentation.device) if isinstance(region_labels, int) or len(region_labels) == 1: if not isinstance(region_labels, int): region_labels = region_labels[0] region_output[:, region_id] = seg[:, self.seg_channel] == region_labels else: region_output[:, region_id] |= np.isin(seg[:, self.seg_channel], region_labels) return region_output.to(segmentation.dtype)

Sorry, something went wrong.

@FabianIsensee

jiashizuo commented May 26, 2024

Excuse me, have you solved it? I also encountered this error report.

@htcwf89

htcwf89 commented May 27, 2024

I'm running into the same error when trying to run region-based training. I traced the issue back to the "ConvertSegmentationToRegionsTransform" class in the batchgeneratorsv2 package (batchgeneratorsv2/batchgeneratorsv2/transforms/utils/seg_to_regions.py).
It appears the latest update by that was pushed as the result of this comment has broken the region-based training in nnunetv2.
However, I tried manually reverting the "ConvertSegmentationToRegionsTransform" class to previous versions visible in the history there but those introduced different errors instead.
& could you guys please take a look?

p.s. I'm using nnunetv2 V2.5, torch 2.1.2+cu118, and batchgeneratorsv2 0.1.1
My OS is Linux and my GPUs are RTX A6000s.

@FabianIsensee

FabianIsensee commented May 28, 2024 • edited Loading

Hey, yeah that was dumbdumb. Fixed it now - please install nnUNetv2 and batchgeneratorsv2 from their respective master branches

No branches or pull requests

@FabianIsensee

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  22. local variable 'region_labels' referenced before assignment #2181

    local variable 'region_labels' referenced before assignment #2181. Closed IEbokai opened this issue May 14, 2024 · 4 comments Closed ... UnboundLocalError: local variable 'region_labels' referenced before assignment Traceback (most recent call last):