unboundlocalerror local variable 'hp' referenced before assignment

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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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Fix "local variable referenced before assignment" in Python

unboundlocalerror local variable 'hp' referenced before assignment

Introduction

If you're a Python developer, you've probably come across a variety of errors, like the "local variable referenced before assignment" error. This error can be a bit puzzling, especially for beginners and when it involves local/global variables.

Today, we'll explain this error, understand why it occurs, and see how you can fix it.

The "local variable referenced before assignment" Error

The "local variable referenced before assignment" error in Python is a common error that occurs when a local variable is referenced before it has been assigned a value. This error is a type of UnboundLocalError , which is raised when a local variable is referenced before it has been assigned in the local scope.

Here's a simple example:

Running this code will throw the "local variable 'x' referenced before assignment" error. This is because the variable x is referenced in the print(x) statement before it is assigned a value in the local scope of the foo function.

Even more confusing is when it involves global variables. For example, the following code also produces the error:

But wait, why does this also produce the error? Isn't x assigned before it's used in the say_hello function? The problem here is that x is a global variable when assigned "Hello ". However, in the say_hello function, it's a different local variable, which has not yet been assigned.

We'll see later in this Byte how you can fix these cases as well.

Fixing the Error: Initialization

One way to fix this error is to initialize the variable before using it. This ensures that the variable exists in the local scope before it is referenced.

Let's correct the error from our first example:

In this revised code, we initialize x with a value of 1 before printing it. Now, when you run the function, it will print 1 without any errors.

Fixing the Error: Global Keyword

Another way to fix this error, depending on your specific scenario, is by using the global keyword. This is especially useful when you want to use a global variable inside a function.

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Here's how:

In this snippet, we declare x as a global variable inside the function foo . This tells Python to look for x in the global scope, not the local one . Now, when you run the function, it will increment the global x by 1 and print 1 .

Similar Error: NameError

An error that's similar to the "local variable referenced before assignment" error is the NameError . This is raised when you try to use a variable or a function name that has not been defined yet.

Running this code will result in a NameError :

In this case, we're trying to print the value of y , but y has not been defined anywhere in the code. Hence, Python raises a NameError . This is similar in that we are trying to use an uninitialized/undefined variable, but the main difference is that we didn't try to initialize y anywhere else in our code.

Variable Scope in Python

Understanding the concept of variable scope can help avoid many common errors in Python, including the main error of interest in this Byte. But what exactly is variable scope?

In Python, variables have two types of scope - global and local. A variable declared inside a function is known as a local variable, while a variable declared outside a function is a global variable.

Consider this example:

In this code, x is a global variable, and y is a local variable. x can be accessed anywhere in the code, but y can only be accessed within my_function . Confusion surrounding this is one of the most common causes for the "variable referenced before assignment" error.

In this Byte, we've taken a look at the "local variable referenced before assignment" error and another similar error, NameError . We also delved into the concept of variable scope in Python, which is an important concept to understand to avoid these errors. If you're seeing one of these errors, check the scope of your variables and make sure they're being assigned before they're being used.

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Local variable referenced before assignment in Python

Last updated: Apr 8, 2024 Reading time · 4 min

# 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.

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 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.

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.

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

Borislav Hadzhiev

Web Developer

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

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.

Take your skills to the next level ⚡️

[SOLVED] 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 Variables	Global 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.

How to Fix Local Variable Referenced Before Assignment Error in Python

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!

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[Bug]: UnboundLocalError: local variable 'h' referenced before assignment #13761

Zwokka commented Oct 25, 2023

Got this error when generating a Img2Img with sampler DPM++ 2M SDE Karras
with some testing i found this error only occurs with Denoising strength 0,04 or below, also setting on 0 gives this error
further settings dont seem to matter

Image should have generated

{
"Platform": "Windows-10-10.0.22621-SP0",
"Python": "3.10.6",
"Version": "v1.6.0",
"Commit": "5ef669de080814067961f28357256e8fe27544f4",
"Script path": "E:\Programs\Stable difussion\stable-diffusion-webui",
"Data path": "E:\Programs\Stable difussion\stable-diffusion-webui",
"Extensions dir": "E:\Programs\Stable difussion\stable-diffusion-webui\extensions",
"Checksum": "de8109bd13575191a04ff943c28f9012fd3e96aa25f3f78c8343091627c7bf56",
"Commandline": [
"launch.py",
"--xformers",
"--autolaunch"
],
"Torch env info": "'NoneType' object has no attribute 'splitlines'",
"Exceptions": [
{
"exception": "local variable 'h' referenced before assignment",
"traceback": [
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 57, f",
"res = list(func(*args, **kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 36, f",
"res = func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\img2img.py, line 208, img2img",
"processed = process_images(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 732, process_images",
"res = process_images_inner(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 867, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 1528, sample",
"samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, sample_img2img",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, ",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py, line 651, sample_dpmpp_2m_sde",
"h_last = h"
]
]
},
{
"exception": "local variable 'h' referenced before assignment",
"traceback": [
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 57, f",
"res = list(func(*args, **kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 36, f",
"res = func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\img2img.py, line 208, img2img",
"processed = process_images(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 732, process_images",
"res = process_images_inner(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 867, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 1528, sample",
"samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, sample_img2img",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, ",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py, line 651, sample_dpmpp_2m_sde",
"h_last = h"
]
]
},
{
"exception": "local variable 'h' referenced before assignment",
"traceback": [
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 57, f",
"res = list(func(*args, **kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 36, f",
"res = func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\img2img.py, line 208, img2img",
"processed = process_images(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 732, process_images",
"res = process_images_inner(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 867, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 1528, sample",
"samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, sample_img2img",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, ",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py, line 651, sample_dpmpp_2m_sde",
"h_last = h"
]
]
},
{
"exception": "local variable 'h' referenced before assignment",
"traceback": [
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 57, f",
"res = list(func(*args, **kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 36, f",
"res = func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\img2img.py, line 208, img2img",
"processed = process_images(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 732, process_images",
"res = process_images_inner(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 867, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 1528, sample",
"samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, sample_img2img",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, ",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py, line 651, sample_dpmpp_2m_sde",
"h_last = h"
]
]
},
{
"exception": "local variable 'h' referenced before assignment",
"traceback": [
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 57, f",
"res = list(func(*args, **kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py, line 36, f",
"res = func(*args, **kwargs)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\img2img.py, line 208, img2img",
"processed = process_images(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 732, process_images",
"res = process_images_inner(p)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 867, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py, line 1528, sample",
"samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, sample_img2img",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 188, ",
"samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))"
],
[
"E:\Programs\Stable difussion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
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"tomesd==0.1.3",
"tomli==2.0.1",
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"torch==2.0.1+cu118",
"torchdiffeq==0.2.3",
"torchmetrics==1.2.0",
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"torchvision==0.15.2+cu118",
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"xformers==0.0.20",
"yapf==0.40.2",
"yarl==1.9.2",
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]
}

Google Chrome

| 0/1 [00:00<?, ?it/s] *** Error completing request | 0/1 [00:00<?, ?it/s] *** Arguments: ('task(h3uscqudpa83w2g)', 0, 'Random image', 'people', [], <PIL.Image.Image image mode=RGBA size=512x512 at 0x22860BD98D0>, None, None, None, None, None, None, 20, 'DPM++ 2M SDE Karras', 4, 0, 1, 1, 1, 7, 1.5, 0.04, 0, 512, 512, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x0000022860BD9AE0>, 0, False, '', 0.8, -1, False, -1, 0, 0, 0, '* `CFG Scale` should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', '<p>Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '<p>Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False) {} Traceback (most recent call last): File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py", line 57, in f res = list(func(*args, **kwargs)) File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\call_queue.py", line 36, in f res = func(*args, **kwargs) File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\img2img.py", line 208, in img2img processed = process_images(p) File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py", line 732, in process_images res = process_images_inner(p) File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py", line 867, in process_images_inner samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\processing.py", line 1528, in sample samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning) File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 188, in sample_img2img samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs)) File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_common.py", line 261, in launch_sampling return func() File "E:\Programs\Stable difussion\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 188, in <lambda> samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs)) File "E:\Programs\Stable difussion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "E:\Programs\Stable difussion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 651, in sample_dpmpp_2m_sde h_last = h UnboundLocalError: local variable 'h' referenced before assignment

👍 1 reaction

seems to be a issue with this change in k -diffusion

Skip noise addition in DPM++ 2M SDE if eta is 0

issue seems to be at all samplers from DPM++ 2M SDE and DPM++ 3M SDE
upping steps to over 100 also works as workaround.

so my guess is my systems calculates eta to be 0, wants to skip adding noise but cant decide what "h" should be in this situation

Sorry, something went wrong.

tuwonga commented Nov 2, 2023

same issue but I think it's due to a specific extension. I dunno which one but I had no issue before.

BriannaBromell commented Nov 14, 2023

Same issue, goes away when I turn off high res fix

KakaoXI commented Jan 16, 2024

I have same issues, any fix?

TA-Robot commented Feb 19, 2024

In my case, the sampling step was mistakenly set to 1.

👍 2 reactions

theChampionOne commented Mar 31, 2024

Skip noise addition in DPM++ 2M SDE if eta is 0

issue seems to be at all samplers from DPM++ 2M SDE and DPM++ 3M SDE upping steps to over 100 also works as workaround.

so my guess is my systems calculates eta to be 0, wants to skip adding noise but cant decide what "h" should be in this situation

have the same problem( how can I fix it? (steps 100+ doesn't work)

marcushsu commented Jun 10, 2024 • edited Loading

Same issue and my work around is using another sampler like Euler a instead of DPM++ 2M SDE.

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UnboundLocalError: local variable 'conn' referenced before assignment [duplicate]

I have an error (shown in title) which occurs when I run this script:

conn has global scope, and is assigned to None before being referenced in the function - why the error message?

You haven't pasted in the whole function body. The problem arises because you are rebinding the variable later on in this scope – John La Rooy Commented Dec 21, 2011 at 9:42

In python you have to declare your global variables which you want to alter in functions with the global keyword:

My guess is that you are going to assign some value to conn somewhere later in the function, so you have to use the global keyword.

2 Wow, I never seen that before - looks kinda like PHP :) – Homunculus Reticulli Commented Dec 21, 2011 at 9:34
That is only required if you wish to rebind the variable – John La Rooy Commented Dec 21, 2011 at 9:34
@gnibbler: yes of course. But I think that is what OP is doing later in the function. – Constantinius Commented Dec 21, 2011 at 9:35
1 I think you are correct. It is confusing the first time you see it because the error comes from the first time the variable is used rather than when it is assigned to – John La Rooy Commented Dec 21, 2011 at 9:41

Not the answer you're looking for? Browse other questions tagged python or ask your own question .

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IMAGES

"Fixing UnboundLocalError: Local Variable Referenced Before Assignment"
UnboundLocalError: Local Variable Referenced Before Assignment
[Solved] UnboundLocalError: local variable 'x' referenced
UnboundLocalError: local variable referenced before assignment
return results UnboundLocalError: local variable ‘results‘ referenced
PYTHON : Python scope: "UnboundLocalError: local variable 'c

VIDEO

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NSOU PG Assignment Exam 2024
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COMMENTS

Python 3: UnboundLocalError: local variable referenced before assignment
File "weird.py", line 5, in main. print f(3) UnboundLocalError: local variable 'f' referenced before assignment. Python sees the f is used as a local variable in [f for f in [1, 2, 3]], and decides that it is also a local variable in f(3). You could add a global f statement: def f(x): return x. def main():
How to Fix
Output. Hangup (SIGHUP) Traceback (most recent call last): File "Solution.py", line 7, in <module> example_function() File "Solution.py", line 4, in example_function x += 1 # Trying to modify global variable 'x' without declaring it as global UnboundLocalError: local variable 'x' referenced before assignment Solution for Local variable Referenced Before Assignment in Python
UnboundLocalError Local variable Referenced Before Assignment in Python
Avoid Reassignment of Global Variables. 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.
Fix "local variable referenced before assignment" in Python
This is because the variable x is referenced in the print(x) statement before it is assigned a value in the local scope of the foo function. Even more confusing is when it involves global variables. For example, the following code also produces the error: x = "Hello "def say_hello (name): x = x + name print (x) say_hello("Billy ...
Local variable referenced before assignment in Python
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.
How to fix UnboundLocalError: local variable 'x' referenced before
The UnboundLocalError: local variable 'x' referenced before assignment occurs when you reference a variable inside a function before declaring that variable. To resolve this error, you need to use a different variable name when referencing the existing variable, or you can also specify a parameter for the function. I hope this tutorial is useful.
[SOLVED] Local Variable Referenced Before Assignment
Local Variables Global Variables; A local 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.
How to Fix Local Variable Referenced Before Assignment Error in Python
value = value + 1 print (value) increment() If you run this code, you'll get. BASH. UnboundLocalError: local variable 'value' referenced before assignment. The issue is that in this line: PYTHON. value = value + 1. 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 ...
[Bug]: UnboundLocalError: local variable 'h' referenced before assignment
seems to be a issue with this change in k -diffusion. Skip noise addition in DPM++ 2M SDE if eta is 0 crowsonkb/k-diffusion@d911c4b. issue seems to be at all samplers from DPM++ 2M SDE and DPM++ 3M SDE upping steps to over 100 also works as workaround.
UnboundLocalError: local variable <function> referenced before assignment
10 RETURN_VALUE. Notice that the lookup of take_sum on line 5 is on byte 20 in the bytecode, where it uses LOAD_FAST. This is the bytecode that causes the UnboundLocalError, since there has been no local assigned if the global function exists. Now, lets look at Test 3:
pytorch
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python
1. The variables wins, money and losses were declared outside the scope of the fiftyfifty() function, so you cannot update them from inside the function unless you explicitly declare them as global variables like this: def fiftyfifty(bet): global wins, money, losses. chance = random.randint(0,100)
python
Note on implementation details: In CPython, the local scope isn't usually handled as a dict, it's internally just an array (locals() will populate a dict to return, but changes to it don't create new locals).The parse phase is finding each assignment to a local and converting from name to position in that array, and using that position whenever the name is referenced.
UnboundLocalError: local variable 'p' referenced before assignment
I'd set p, q, and r to -1, then run the if statements to set one of them to 0, as all three of those variables run the risk of being undefined in the for loop. - MasterOdin Commented Apr 26, 2015 at 17:30
UnboundLocalError: local variable 'ehp' referenced before assignment
1. Examine these two code lines in fight() (at least these two, though there may be others): ehp = ehp - (random.randint(0,damage/2)) hp = hp - eattack. For variables not explicitly marked as global, Python makes some assumptions: if you only use the variable, it will follow the scope up through different levels until it finds a matching name; and.
Python
Try again. Traceback (most recent call last): File "trial.py", line 83, in <module> primenumbers2() File "trial.py", line 80, in primenumbers2 if p not in chapter: #input is integer, but not a prime number within my range of primes UnboundLocalError: local variable 'p' referenced before assignment
UnboundLocalError: local variable 'a' referenced before assignment
UnboundLocalError: local variable 'ip_addressa' referenced before assignment Hot Network Questions Can you use 'sollen' the same way as 'should' in sentences about possibility that something happens?
How to fix UnboundLocalError: local variable 'df' referenced before
You only create an object named df, if the details are either "csv" or "xlsx".If they have another type, no df will be created. Hence, you can not return df at the end of your function. It will crash, whenever you try.
UnboundLocalError: local variable 'conn' referenced before assignment
UnboundLocalError: local variable 'conn' referenced before assignment [duplicate] Ask Question Asked 12 years, 8 months ago. Modified 1 year, 11 months ago. ... Tkinter program error: UnboundLocalError: local variable 'conn' referenced before assignment. Hot Network Questions

UnboundLocalError Local variable Referenced Before Assignment in Python

What is UnboundLocalError Local variable Referenced Before Assignment in Python?

Why does UnboundLocalError: Local variable Referenced Before Assignment Occur?

Variable Assignment Inside Try Block

Solution for UnboundLocalError Local variable Referenced Before Assignment

Initialize Variables Outside the Try Block

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Fix "local variable referenced before assignment" in Python

Introduction

The "local variable referenced before assignment" Error

Fixing the Error: Initialization

Fixing the Error: Global Keyword

Similar Error: NameError

Variable Scope in Python

Monitor with Ping Bot

Local variable referenced before assignment in Python

# Local variable referenced before assignment in Python

# Mark the variable as global to solve the error

# Local variables shadow global ones with the same name

# Returning a value from the function instead

# Passing the global variable as an argument to the function

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

# Discussion

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