Azure APIM API is not visible in Logic Apps

I created a consumption-based Logic App and are trying to call an API from API Management Service (Consumption Tier).
However, the OpenAPI I imported from a swagger file in APIM doesn't show up in Logic Apps.


I don't understand what I missed here.


APIM
Logic Apps Issue


I followed the same steps from this tutorial:

https://www.youtube.com/watch?v=FsF9m4-sYwg&t=2109s

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Terminate istio sidecar istio-proxy for a kubernetes job / cronjob

We recently started using istio Istio to establish a service-mesh within out Kubernetes landscape.



We now have the problem that jobs and cronjobs do not terminate and keep running forever if we inject the istio istio-proxy sidecar container into them. The istio-proxy should be injected though to establish proper mTLS connections to the services the job needs to talk to and comply with our security regulations.



I also noticed the open issues within Istio (istio/issues/6324) and kubernetes (kubernetes/issues/25908), but both do not seem to provide a valid solution anytime soon.



At first a pre-stop hook seemed suitable to solve this issue, but there is some confusion about this conecpt itself: kubernetes/issues/55807

lifecycle:
preStop:
exec:
command:
...




Bottomline: Those hooks will not be executed if the the container successfully completed.



There are also some relatively new projects on GitHub trying to solve this with a dedicated controller (which I think is the most preferrable approach), but to our team they do not feel mature enough to put them right away into production:




* k8s-controller-sidecars

* K8S-job-sidecar-terminator







In the meantime, we ourselves ended up with the following workaround that execs into the sidecar and sends a SIGTERM signal, but only if the main container finished successfully:

apiVersion: v1
kind: ServiceAccount
metadata:
name: terminate-sidecar-example-service-account
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: terminate-sidecar-example-role
rules:
- apiGroups: [""]
resources: ["pods"]
verbs: ["get","delete"]
- apiGroups: [""]
resources: ["pods/exec"]
verbs: ["create"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: terminate-sidecar-example-rolebinding
subjects:
- kind: ServiceAccount
name: terminate-sidecar-example-service-account
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: terminate-sidecar-example-role
---
apiVersion: batch/v1beta1
kind: CronJob
metadata:
name: terminate-sidecar-example-cronjob
labels:
app: terminate-sidecar-example
spec:
schedule: "30 2 * * *"
jobTemplate:
metadata:
labels:
app: terminate-sidecar-example
spec:
template:
metadata:
labels:
app: terminate-sidecar-example
annotations:
sidecar.istio.io/inject: "true"
spec:
serviceAccountName: terminate-sidecar-example-service-account
containers:
- name: ****
image: ****
command:
- "/bin/ash"
- "-c"
args:
- node index.js && kubectl exec -n ${POD_NAMESPACE} ${POD_NAME} -c istio-proxy -- bash -c "sleep 5 && /bin/kill -s TERM 1 &"
env:
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace




So, the ultimate question to all of you is: Do you know of any better workaround, solution, controller, ... that would be less hacky / more suitable to terminate the istio-proxy container once the main container finished its work?

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Laravel 10.35 Released

---



The Laravel team released v10.35 with a Blade @use directive, a number abbreviation helper, the ability to generate a secret with artisan down, and more. Here is a bit more info about the new features introduced this week:


Add a Blade @use() directive




Simon Hamp contributed a @use() directive to import a PHP class into a Blade template without using raw PHP tags:
{{-- Before --}}
@php
use \App\Enums\WidgetStatusEnum as Status;
@endphp

{{-- After --}}
@use('App\Enums\WidgetStatusEnum', 'Status')
@use('App\Models\Bar')

{{ Status::Foo }}
{{ Bar::first() }}



Abbreviate a number with the Number::abbreviate() method




@jcsoriano contributed a Number::abbreviate() class to the newly added Number Class, which provides a human-readable abbreviated number:
Number::abbreviate(1_000_000); // "1M"
Number::abbreviate(100_001); // "100K"
Number::abbreviate(100_100); // "100K"
Number::abbreviate(99_999); // "100K"
Number::abbreviate(99_499); // "99K"



Add the --with-secret option to the artisan down command




Jacob Daniel Prunkl contributed a --with-secret option to the artisan down command that will generate a secret phrase that can be used to bypass maintenance mode so the user doesn't have to define one themselves:





Add Conditionable trait to the AssertableJson class




Khalil Laleh contributed adding the Conditionable trait to the AssertableJson class, to make it possible to assert based on a given conditional:
// Before
$response->assertJson(function (AssertableJson $json) use ($condition) {
$json->has('data');

if ($condition) {
$json->has('meta');
}

$json->etc();
});

// After
$response
->assertJson(fn (AssertableJson $json) => $json->has('data'))
->when($condition, fn (AssertableJson $json) => $json->has('meta'))
// ...
;



Release notes




You can see the complete list of new features and updates below and the diff between 10.34.0 and 10.35.0 on GitHub. The following release notes are directly from the changelog:


v10.35.0






* [10.x] Add Conditionable trait to AssertableJson by @khalilst in
https://github.com/laravel/framework/pull/49172 />

* [10.x] Add --with-secret option to Artisan down command. by @jj15asmr in
https://github.com/laravel/framework/pull/49171 />

* [10.x] Add support for Number::summarize by @jcsoriano in
https://github.com/laravel/framework/pull/49197 />

* [10.x] Add Blade @use directive by @simonhamp in
https://github.com/laravel/framework/pull/49179 />

* [10.x] Fixes retrying failed jobs causes PHP memory exhaustion errors when dealing with thousands of failed jobs by @crynobone in
https://github.com/laravel/framework/pull/49186 />

* [10.x] Add "substituteImplicitBindingsUsing" method to router by @calebporzio in
https://github.com/laravel/framework/pull/49200 />

* [10.x] Cookies Having Independent Partitioned State (CHIPS) by @fabricecw in
https://github.com/laravel/framework/pull/48745 />

* [10.x] Update InteractsWithDictionary.php to use base InvalidArgumentException by @Grldk in
https://github.com/laravel/framework/pull/49209 />

* [10.x] Fix docblock for wasRecentlyCreated by @stancl in
https://github.com/laravel/framework/pull/49208 />

* [10.x] Fix loss of attributes after calling child component by @rojtjo in
https://github.com/laravel/framework/pull/49216 />

* [10.x] Fix typo in PHPDoc comment by @caendesilva in
https://github.com/laravel/framework/pull/49234 />

* [10.x] Determine if the given view exists. by @hafezdivandari in
https://github.com/laravel/framework/pull/49231 />






The post Laravel 10.35 Released appeared first on Laravel News.


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Livewire limitations?

We have been using React for our front-end for some time and are quite comfortable with it. Livewire seems extremely popular, and it would be interesting to try it out, but I’m hesitant about the time it’s going to take to really know if it fits our use-case.

Have you come across limitations when using Livewire with Laravel? If so, what kind? Is it suitable for more than relatively basic interactivity (for example, how would drag n drop be implemented)? submitted by /u/CapnJiggle
[link] [comments]

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CustomGPT expert on Laravel and FilamentPHP

Did anyone feed the latest Laravel docs and preferably docs of FilamentPHP and other highly relevant Laravel packages (Nova, Pest, or even Inertia, Alpine etc) to a custom GPT we could use and prompt? It would sound like a valuable resource.

Or should I just use phind.com or grind the docs myself and build my own CustomGPT (or altnernative using embeddings). I didn’t find much when googling or searching Laravel-news. Lots of articles describe how to integrate OpenAI in your Laravel app, but I need a smart, relevant and up to date AI assistent with knowledge of current docs to speed up development.

Tips appreciated! submitted by /u/mhphilip
[link] [comments]

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Find a value from an array column in a dictionary Pyspark

I have this dataframe in Pyspark:
data = [("definitely somewhere",), ("Las Vegas",), ("其他",), (None,), ("",), ("Pucela Madrid Langreo, España",), ("Trenches, With Egbon Adugbo",)]
df = spark.createDataFrame(data, ["address"])
city_country = {
'las vegas': 'US',
'lagos': 'NG',
'España': 'ES'
}
cities_name_to_code = spark.sparkContext.broadcast(city_country )
df_with_codes = df.withColumn('cities_array', F.lower(F.col('address'))) \
.withColumn('cities_array', F.split(F.col('cities_array'), ', '))



I want to find in cities_array all the keys from cities_name_to_code for each element (get an array of values).
The problem is that I don't want to use UDF.

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Manipulate values in element in xml file using xslt

I want to have possibility to remove or replace unnecessary text inside values in elements in xml file and I want use an XSLT transformation to do that.


In this example file i want to remove specific tags like br, prefix, suffix, bulletlist or replace them into specific text or simple character inside value of Value elements.


There will be many Product elements. And I don't want change structure of this file, so this should be like copy, but with with logic to remove specific texts.


I tried to use templates and copy, but somehow I cannot connect them together.


If any of you could help me with or give me hints that I should follow, I would appreciate.



xyz


test

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Kivy language cannot reference id with python code

I read a Kivy document to reference a widget like self.ids.widget_id.text = "".


In my code, I used the same code I read to change the label widget to data, which is received from the database. I see data from MySql like "MARVEL’S SPIDER-MAN 2," but the program is showing an error.


productlistview.py
from kivy.app import App
from kivy.uix.screenmanager import Screen
from globalstate import GlobalState
from kivy.lang import Builder
from kivy.uix.recycleview import RecycleView
from kivy.uix.gridlayout import GridLayout
import connect_db

Builder.load_file('productlistview.kv')

class ProductListViewMain(Screen):

def on_enter(self, *args):
GlobalState.is_user_authenticated = True
# Check user authentication status
if not GlobalState.is_user_authenticated:
# If not authenticated, go to the login screen
self.manager.current = 'home'
return

class SearchProduct(GridLayout):
pass

class ProductList(GridLayout):
def __init__(self, **kwargs):
super(ProductList, self).__init__(**kwargs)

self.load_products()

def load_products(self):
# Fetch data from MySQL
mydb = connect_db.db
cursor = mydb.cursor()
sql = "SELECT * FROM Product"
cursor.execute(sql)

fetch = cursor.fetchone()

# Close the connection
mydb.close()

if fetch:
print(fetch[1]) # MARVEL’S SPIDER-MAN 2
self.ids.product_name.text = str(fetch[1]) # Error

class ProductListViewApp(App):
def build(self):
self.root = ProductListViewMain()
return self.root

if __name__ == '__main__':
ProductListViewApp().run()



productlistview.kv
:
SearchProduct:
ProductList:

:
cols: 1
canvas:
Color:
rgba: 0.898039, 0.898039, 0.909804, 1
Rectangle:
pos: self.pos
size: self.size

RelativeLayout:

TextInput:
hint_text: 'Search'
font_size: 45
font_family: 'Roboto'
background_color: 0.952941, 0.952941, 0.952941, 1
foreground_color: 0.482353, 0.552941, 0.576471, 1
size_hint_y: None
height: 70
size_hint_x: None
width: 850
pos_hint: {'center_x':0.5, 'center_y':0.85}

:
cols: 5
row_force_default: True
row_default_height: 350
col_force_default: True
col_default_width: 250

BoxLayout:
Image:
id: product_image
allow_stretch: True
size_hint_y: None
size_hint_x: None
height: 250
width: 250
pos_hint: {'center_x': .5, 'center_y': .5}

BoxLayout:
Label:
id: product_name
font_family: 'Roboto'
font_size: 30
color: 0.482353, 0.552941, 0.576471, 1
size_hint: (0.146341, 0.0956522)
pos_hint: {'center_x': .5, 'center_y': .5}

BoxLayout:
Label:
id: product_description
text: 'Description'
font_family: 'Roboto'
font_size: 30
color: 0.482353, 0.552941, 0.576471, 1
size_hint: (0.146341, 0.0956522)
pos_hint: {'center_x': .5, 'center_y': .5}

BoxLayout:
Label:
id: product_price
text: 'Price'
font_family: 'Roboto'
font_size: 30
color: 0.482353, 0.552941, 0.576471, 1
size_hint: (0.146341, 0.0956522)
pos_hint: {'center_x': .5, 'center_y': .5}

BoxLayout:
Button:
id: add_cart
text: 'add to cart'
size_hint: (0.243902, 0.182609)
foreground_color: 0.482353, 0.552941, 0.576471, 1
background_color: 0.811765, 0.847059, 0.862745, 1
font_size: 30
pos_hint: {'center_x': .5, 'center_y': .5}
on_press: root.test()



Error
[INFO ] [Text ] Provider: sdl2
[INFO ] [GL ] NPOT texture support is available
MARVEL’S SPIDER-MAN 2
Traceback (most recent call last):
File "kivy/properties.pyx", line 961, in kivy.properties.ObservableDict.__getattr__
KeyError: 'product_name'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/Users/fluke/Desktop/SEP410/Apps/productlistview.py", line 55, in
ProductListViewApp().run()
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/app.py", line 955, in run
self._run_prepare()
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/app.py", line 925, in _run_prepare
root = self.build()
^^^^^^^^^^^^
File "/Users/fluke/Desktop/SEP410/Apps/productlistview.py", line 51, in build
self.root = ProductListViewMain()
^^^^^^^^^^^^^^^^^^^^^
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/uix/relativelayout.py", line 274, in __init__
super(RelativeLayout, self).__init__(**kw)
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/uix/floatlayout.py", line 65, in __init__
super(FloatLayout, self).__init__(**kwargs)
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/uix/layout.py", line 76, in __init__
super(Layout, self).__init__(**kwargs)
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/uix/widget.py", line 366, in __init__
self.apply_class_lang_rules(
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/uix/widget.py", line 470, in apply_class_lang_rules
Builder.apply(
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/lang/builder.py", line 540, in apply
self._apply_rule(
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/lang/builder.py", line 662, in _apply_rule
self._apply_rule(
File "/Users/fluke/Desktop/SEP410/Apps/.venv/lib/python3.11/site-packages/kivy/lang/builder.py", line 658, in _apply_rule
child = cls(__no_builder=True)
^^^^^^^^^^^^^^^^^^^^^^
File "/Users/fluke/Desktop/SEP410/Apps/productlistview.py", line 29, in __init__
self.load_products()
File "/Users/fluke/Desktop/SEP410/Apps/productlistview.py", line 45, in load_products
self.ids.product_name.text = str(fetch[1])
^^^^^^^^^^^^^^^^^^^^^
File "kivy/properties.pyx", line 964, in kivy.properties.ObservableDict.__getattr__
AttributeError: 'super' object has no attribute '__getattr__'. Did you mean: '__setattr__'?

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Changing prefix build for static asset in Nextjs

I just wonder if we can configure name of prefix asset in nextjs 13


when we running build of next application it will produce new folder into project with name "out" folder and there will be several folder inside there.


When we using from next/image it will build into /_next/static/media/myimage.svg


Is it possible to us, maybe in config.next.json to change all image path to something else like /_next/static/asset/myimage.svg or /_next/images/myimage.svg


I just wonder if we can change build prefix in nextjs


Thank you

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Creating a .NET 8 Blazor server on VS Code

.NET 8 is out and I want to create a Blazor server in VS Code.


When I try dotnet new blazorserver -f net8.0 in the terminal, it returns



'net8.0' is not a valid value for -f



How should I do it in VS Code?

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Are worker gems like Sidekiq still needed for a basic Rails application

Starting from Rails 7.1, Puma will automatically spawn x worker threads where x is the amount of available processors.


This brings up the question on how to handle workers in a simple dockerized Rails production app.


In the case of a simple Rails application that occasionally sends some mails asynchronously and periodically cleans up a few ActiveRecord Blobs, are worker Gems like Sidekiq still needed? Or is the default configuration of Puma enough to get the job done?

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Golang please help understanding the syntax

metadata is defined as:
metadata map[string]interface{}



please help me understand what is the following line doing:
metadata["entity_version"].(string)

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How can I tell which other projects in my enterprise use my shared workflow?

I'm maintaining a shared workflow in GitHub Actions within our enterprise account.


Is there a way for me to tell which projects within the enterprise use my workflow other than doing a code search for the URL?

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Repeated measures Ancova in R

I am trying to analyse my data but I am unsure if repeated measures ancova is the way to go.
I have a variable named "A" measured in three different conditions "1", "2" and "3" (the sample size between groups is unequal). I also have a continues covariate measured just once in the first moment.


My r code until now is:


Rmancova

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How to install nvm in mac?

I am unable to install nvm in my mac. I have installed node and it's running perfectly fine but unable to install nvm on my system. while checking node version it showing :


node -v v21.3.0


but when i try to check nvm version it gives me error :


nvm -v zsh: command not found: nvm


when i try to install nvm it gives me error :


brew install nvm


Warning: nvm 0.39.5 is already installed and up-to-date.
To reinstall 0.39.5, run:
brew reinstall nvm

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php variable value acts like zero

As I was working on a project I had an error which I couldn't understand why it is happening. On my code, I read a string from an API, which is a number but API return is string, so I make $mynumber = floatval($mynumber); and it works perfectly. But, after I make a math operation such as $newnumber = $mynumber * 1.5; I get a weird error.
echo $newnumber;



returns the number as "8.5E-6", which is perfectly fine and shows that $newnumberholds a value. Also echo gettype($newnumber); also returns "double" so everything seems perfect. But whenever I try to print the input as
echo number_format($newnumber);



it just prints "0" on the screen. Also, if I try to use that $newnumber variable on curl, I get error on the web site I'm trying to call APIs and it says "value can not be 0", so it seems like the value for that variable also passes as 0 on API request.


When I try to use number_format on the first variable, before multiplication, it returns the value without any problem, so the problem is not on the number_format function as well.


At this point I'm stuck and don't know how to solve this, any idea?

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Power BI Issue: Calculated Items Misbehaving When Filtering

I'm encountering a perplexing issue in my Power BI report that involves calculated items. Any insight or suggestion is much appreciated.


Here's a breakdown:


Data Model:



* FactData

* DimProductHierarchy

* DimVersionName1 (disconnected table)

* DimVersionName2 (disconnected table)






Measures:



* [Volume] = SUM(FactData[Volume]






Table Chart1:
Category column - DimProductHierarchy[Level 1]
Value - "Version 1", which is a calculated item I created in Tabular Editor


Table Chart2:
Category column - DimProductHierarchy[Level 1]
Value - "Version 2", which is a calculated item I created in Tabular Editor


Slicer1
Used column - DimVersionName1[Version Name]
Only applied to - Table Chart 1


Slicer2
Used column - DimVersionName2[Version Name]
Only applied to - Table Chart 2


Calculated Items 1 (Version 1):
VAR SelectedVersion1 = SELECTEDVALUE(DimVersionName1[Version Name]) VAR MyFilter = FILTER(ALL(FactData[Version Name]), FactData[Version Name] = SelectedVersion1) VAR Result = CALCULATE(SELECTEDMEASURE(), MyFilter) RETURN Result


Calculated Items 2 (Version 1):
VAR SelectedVersion2 = SELECTEDVALUE(DimVersionName2[Version Name]) VAR MyFilter = FILTER(ALL(FactData[Version Name]), FactData[Version Name] = SelectedVersion2) VAR Result = CALCULATE(SELECTEDMEASURE(), MyFilter) RETURN Result


Other Details:



* FactData and DimProductHierarchy are connected with the Many-to-One relationship.






The Problem:
When I click on a category in Table Chart 1, Table Chart 2 correctly filters to display only that selected category. However, the measure value in Table Chart 2 unexpectedly changes to match the value in Table Chart 1, rather than retaining its original value.


Question:
Can someone help me understand why the measure in Table Chart 2 is getting affected by the interaction with Table Chart 1, and how I can ensure that each visual maintains its own measure value?

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Issue deleting a file in remote path via ssh

I'm trying to delete a file on a remote path via ssh, the command I'm trying to use from my local computer is using bash and my remote computer uses cmd.


I'm trying to use the following command:
ssh user@host "del -f F:\\some\\path\\in\\remote\\1.computer\\1.filename.txt"



and in the logs I get the following error:
The filename, directory name, or volume label syntax is incorrect


Any feedback will be well appreciated.


Thanks!


Edit: Important note I forgot to mention is I'm using a spawn command via a script to execute the ssh instruction

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Are there any good PHP documentation generators for monolithic apps?

I see there are documentors such as Scribe for API generation. Is there something similar for Inertia/Livewire? A “scribe for monolithic apps”.

I’m looking into an easy way to leverage docblocks or annotations to do this. I am familiar with PHPdox, but am reluctant to commit to the setup needed for that, although that appears to be the best option I can find which actually works. submitted by /u/TokenGrowNutes
[link] [comments]

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hi..i am creating a personal book management system. i want to delete book information(ISBN, author name,title) from the database

my code doesnt work. i dont know why..it should delete the isbn from the database
def delbook_by_isbn(database):
search_information = input("Enter ISBN to delete the book: ")
book_matched = search_books_by_information(database, search_information)
if not book_matched:
print("No matching records found.")
return database

print("\nMatching Books:")
for row in book_matched:
print(row)

delete_option = input("Do you want to delete information of this book? (yes/no): ").lower()

if delete_option == 'yes':
for book in book_matched:
database.remove(book)
print("Books deleted successfully.")
return database
else:
print("No books deleted.")
return database

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RAG as part of flow

I was wondering if someone has experience with real-life RAG flows.


A very simple scenario


User asks: Give me the top 5 takeaways "search phrase" (e.g. MS keynote)


The code behind it runs an Azure AI search and returns five relevant documents - that are passed via a prompt including the user's original question to the AI


The system answers with a text with the top 5 takeaways


And this is where most of examples on the internet end


How do you handle the following question from user:


Give me 5 more takeaways


If you ran azure search with this phrase, you will not for sure get anything relevant to the original question, or do you pass this question straight to AI where you include chat history, original question, original RAG and AI answer?


What are your experiences?


thanks

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Computing gradient of output with respect to an intermediate layer in Theano

I'm trying to implement heatmaps of class activation in theano, based on section 5.4.3 Visualizing heatmaps of class activation of Deep learning with Python.


I'm able to compute the gradient of the predicted class (class 0) with regard to input samples in the mini-batch. Here are the relevant parts of my code:
import theano.tensor as T
import numpy as np
import lasagne as nn
import importlib
import theano
from global_vars import *
theano.config.floatX = 'float32'

seq_len = 19
num_features = 42
config_name = 'pureConv'
config_initialize(config_name)

metadata_path = "metadata/pureConv/dump_pureConv-20230429-160908-223.pkl"
metadata = np.load(metadata_path, allow_pickle=True)

config = importlib.import_module("configurations.%s" % config_name)
params = np.array(metadata['param_values'])
l_in, l_out = config.build_model()
nn.layers.set_all_param_values(l_out, metadata['param_values'])

all_layers = nn.layers.get_all_layers(l_out)
i=0
for layer in all_layers:
#name = string.ljust(layer.__class__.__name__, 32)
name = layer.__class__.__name__
print(" layer %d: %s %s %s" % (i, name, nn.layers.get_output_shape(layer), nn.layers.count_params(layer)))
i+=1

layer_name = all_layers[34]
sym_x = T.tensor3()
conv_output = nn.layers.get_output(layer_name, sym_x, deterministic=True) #Conv1DLayer
nn_output = nn.layers.get_output(l_out, sym_x, deterministic=True) #softmax output
grads = theano.gradient.jacobian(nn_output[:,0], wrt=sym_x)
res = theano.function(inputs=[sym_x], outputs=[nn_output, conv_output, grads],allow_input_downcast=True)
input_data = np.random.random((64, seq_len, num_features))

out, conv, grads =res(input_data)
print("Model output shape", out.shape)
print("Conv output shape",conv.shape)
print("Gradients out shape", grads.shape)



, which output:
layer 0: InputLayer (None, 19, 42) 0
layer 1: DimshuffleLayer (None, 42, 19) 0
layer 2: Conv1DLayer (None, 16, 19) 2016
layer 3: BatchNormLayer (None, 16, 19) 2080
layer 4: NonlinearityLayer (None, 16, 19) 2080
layer 5: Conv1DLayer (None, 16, 19) 3360
layer 6: BatchNormLayer (None, 16, 19) 3424
layer 7: NonlinearityLayer (None, 16, 19) 3424
layer 8: Conv1DLayer (None, 16, 19) 4704
layer 9: BatchNormLayer (None, 16, 19) 4768
layer 10: NonlinearityLayer (None, 16, 19) 4768
layer 11: ConcatLayer (None, 48, 19) 10272
layer 12: DimshuffleLayer (None, 19, 48) 10272
layer 13: ConcatLayer (None, 19, 90) 10272
layer 14: DimshuffleLayer (None, 90, 19) 10272
layer 15: Conv1DLayer (None, 16, 19) 14592
layer 16: BatchNormLayer (None, 16, 19) 14656
layer 17: NonlinearityLayer (None, 16, 19) 14656
layer 18: Conv1DLayer (None, 16, 19) 17472
layer 19: BatchNormLayer (None, 16, 19) 17536
layer 20: NonlinearityLayer (None, 16, 19) 17536
layer 21: Conv1DLayer (None, 16, 19) 20352
layer 22: BatchNormLayer (None, 16, 19) 20416
layer 23: NonlinearityLayer (None, 16, 19) 20416
layer 24: ConcatLayer (None, 48, 19) 32064
layer 25: DimshuffleLayer (None, 19, 48) 32064
layer 26: ConcatLayer (None, 19, 138) 32064
layer 27: DimshuffleLayer (None, 138, 19) 32064
layer 28: Conv1DLayer (None, 16, 19) 38688
layer 29: BatchNormLayer (None, 16, 19) 38752
layer 30: NonlinearityLayer (None, 16, 19) 38752
layer 31: Conv1DLayer (None, 16, 19) 43104
layer 32: BatchNormLayer (None, 16, 19) 43168
layer 33: NonlinearityLayer (None, 16, 19) 43168
layer 34: Conv1DLayer (None, 16, 19) 47520
layer 35: BatchNormLayer (None, 16, 19) 47584
layer 36: NonlinearityLayer (None, 16, 19) 47584
layer 37: ConcatLayer (None, 48, 19) 65376
layer 38: DimshuffleLayer (None, 19, 48) 65376
layer 39: ConcatLayer (None, 19, 186) 65376
layer 40: ReshapeLayer (64, 3534) 65376
layer 41: DenseLayer (64, 200) 772176
layer 42: BatchNormLayer (64, 200) 772976
layer 43: NonlinearityLayer (64, 200) 772976
layer 44: DenseLayer (64, 8) 774584
layer 45: NonlinearityLayer (64, 8) 774584

Model output shape (64, 8)
Conv output shape (64, 16, 19)
Gradients out shape (64, 64, 19, 42)



However, I've been having a lot of trouble figuring out how compute the gradient of the predicted class with regard to the output feature map of selected intermediate convolutional layer. as when I try the following line:
grads = theano.gradient.jacobian(nn_output[:,0], wrt=conv_output)



output the following error:
---------------------------------------------------------------------------
DisconnectedInputError Traceback (most recent call last)
Cell In[46], line 36
34 conv_output = nn.layers.get_output(layer_name, sym_x, deterministic=True) #Conv1DLayer
35 nn_output = nn.layers.get_output(l_out, sym_x, deterministic=True) #softmax output
---> 36 grads = theano.gradient.jacobian(nn_output[:,0], conv_output)
37 res = theano.function(inputs=[sym_x], outputs=[nn_output, conv_output, grads],allow_input_downcast=True)
38 input_data = np.random.random((64, seq_len, num_features))

File *\lib\site-packages\theano\gradient.py:1912, in jacobian(expression, wrt, consider_constant, disconnected_inputs)
1907 return rvals
1908 # Computing the gradients does not affect the random seeds on any random
1909 # generator used n expression (because during computing gradients we are
1910 # just backtracking over old values. (rp Jan 2012 - if anyone has a
1911 # counter example please show me)
-> 1912 jacobs, updates = theano.scan(inner_function,
1913 sequences=arange(expression.shape[0]),
1914 non_sequences=[expression] + wrt)
1915 assert not updates, \
1916 ("Scan has returned a list of updates. This should not "
1917 "happen! Report this to theano-users (also include the "
1918 "script that generated the error)")
1919 return format_as(using_list, using_tuple, jacobs)

File *\lib\site-packages\theano\scan_module\scan.py:774, in scan(fn, sequences, outputs_info, non_sequences, n_steps, truncate_gradient, go_backwards, mode, name, profile, allow_gc, strict, return_list)
768 dummy_args = [arg for arg in args
769 if (not isinstance(arg, SharedVariable) and
770 not isinstance(arg, tensor.Constant))]
771 # when we apply the lambda expression we get a mixture of update rules
772 # and outputs that needs to be separated
--> 774 condition, outputs, updates = scan_utils.get_updates_and_outputs(fn(*args))
775 if condition is not None:
776 as_while = True

File *\lib\site-packages\theano\gradient.py:1902, in jacobian..inner_function(*args)
1900 rvals = []
1901 for inp in args[2:]:
-> 1902 rval = grad(expr[idx],
1903 inp,
1904 consider_constant=consider_constant,
1905 disconnected_inputs=disconnected_inputs)
1906 rvals.append(rval)
1907 return rvals

File *\lib\site-packages\theano\gradient.py:589, in grad(cost, wrt, consider_constant, disconnected_inputs, add_names, known_grads, return_disconnected, null_gradients)
586 for elem in wrt:
587 if elem not in var_to_app_to_idx and elem is not cost \
588 and elem not in grad_dict:
--> 589 handle_disconnected(elem)
590 grad_dict[elem] = disconnected_type()
592 cost_name = None

File *\lib\site-packages\theano\gradient.py:576, in grad..handle_disconnected(var)
574 elif disconnected_inputs == 'raise':
575 message = utils.get_variable_trace_string(var)
--> 576 raise DisconnectedInputError(message)
577 else:
578 raise ValueError("Invalid value for keyword "
579 "'disconnected_inputs', valid values are "
580 "'ignore', 'warn' and 'raise'.")

DisconnectedInputError:
Backtrace when that variable is created:

File "*\lib\site-packages\IPython\core\interactiveshell.py", line 3203, in run_cell_async
has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
File "*\lib\site-packages\IPython\core\interactiveshell.py", line 3382, in run_ast_nodes
if await self.run_code(code, result, async_=asy):
File "*\lib\site-packages\IPython\core\interactiveshell.py", line 3442, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "C:\Users\YN\AppData\Local\Temp\ipykernel_15448\4013410499.py", line 34, in
conv_output = nn.layers.get_output(layer_name, sym_x, deterministic=True) #Conv1DLayer
File "*\lib\site-packages\lasagne\layers\helper.py", line 197, in get_output
all_outputs[layer] = layer.get_output_for(layer_inputs, **kwargs)
File "*\lib\site-packages\lasagne\layers\conv.py", line 352, in get_output_for
conved = self.convolve(input, **kwargs)
File "*\lib\site-packages\lasagne\layers\conv.py", line 511, in convolve
conved = self.convolution(input, self.W,
File "*\lib\site-packages\lasagne\theano_extensions\conv.py", line 75, in conv1d_mc0
return conved[:, :, 0, :] # drop the unused dimension



Am I missing something? Is there is a way to get this gradient computation to work?

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and for people who want the code all you really need to see is this:
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Also its a tool, so this accounts for rotations.

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