gin-config | Gin provides a lightweight configuration framework | Application Framework library
kandi X-RAY | gin-config Summary
kandi X-RAY | gin-config Summary
Authors: Dan Holtmann-Rice, Sergio Guadarrama, Nathan Silberman Contributors: Oscar Ramirez, Marek Fiser. Gin provides a lightweight configuration framework for Python, based on dependency injection. Functions or classes can be decorated with @gin.configurable, allowing default parameter values to be supplied from a config file (or passed via the command line) using a simple but powerful syntax. This removes the need to define and maintain configuration objects (e.g. protos), or write boilerplate parameter plumbing and factory code, while often dramatically expanding a project's flexibility and configurability. Gin is particularly well suited for machine learning experiments (e.g. using TensorFlow), which tend to have many parameters, often nested in complex ways. This is not an official Google product.
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Top functions reviewed by kandi - BETA
- Parse configuration files and bindings
- Return a configurable instance
- Parse a binding key
- Finalize the configuration
- Return a string representing the operative configuration
- Return the minimal selector
- Return a configuration string
- Get the bindings of a function
- Return the scope and selector for a function
- Query a parameter by binding
- Registers a macro
- Find unknown references
- Evaluate a scoped_configurable reference
- Find missing overrides
- Parse a macro
- Open a resource file
- Check if the system path exists
- Context manager to temporarily unlock configuration
- Parse a configurable reference
- Return a fully qualified selector
- Parse a container
- Ensure PyTorch is installed
- Decorator for constants from enum
- Raises ImportError if TensorFlow is not installed
- Decorator to configure a function
- Decorator to register a file reader
gin-config Key Features
gin-config Examples and Code Snippets
python -m experiments.scripts. /
-d /
-m /
-b
python -m experiments.scripts.train /
-d freesolv /
-m mat /
-b model.pretrained_name=\"mat_masking_20M\"#train.gpus=[1]
python -m experiments.scripts.trai
~/selfstudy$ python main.py -e cifar_test_0000
~/selfstudy$ python misc/move_snapshots.py -e cifar_test_0000 -m
Moving from: ~/selfstudy/exp/cifar_test_0000/e_0_2020-04-13_14-00-36ez5rvdao/checkpoint_25 to: ~/selfstudy/exp/cifar_test_0000/
~/selfstu
@gin.configurable('config_name')
def my_func(arg1=gin.REQUIRED, arg2=0):
# blah
spec['gin']['config_name.arg1'] = # whatever python objects
spec['gin']['config_name.arg2'] = 2
Community Discussions
Trending Discussions on gin-config
QUESTION
I've a simple API that returns a string. My objective is to secure my API using LDAP authentication. I've my LDAP configured in my JBoss EAP 7.1 under the security-domain. I've defined my security constraint in the web.xml and the corresponding security-domain in my jboss-web.xml This is my first shot to integrate LDAP with REST API. Not sure what went wrong, but when I hit my API from browser, it keeps prompting for credentials 3 times and then gives below error.
...ANSWER
Answered 2022-Mar-23 at 16:40The spring security dependency adds additional security on top of my LDAP authentication. I removed the dependency and it worked.
QUESTION
I have a JAX-RS application deployed in WildFly. The application's endpoints shall be protected by Keycloak with Access Type: bearer-only
. This works perfectly fine for WildFly versions up to 24.
Starting from WildFly 25 the Keycloak adapter is deprecated and one should migrate to the new Elytron subsystem. According to this WildFly issue https://issues.redhat.com/browse/WFLY-15485 however the OIDC adapter is not ready yet to work with bearer-only
. But it is mentioned that it should still be possible using the Keycloak Wildfly adapter.
Also the latest Keycloak documentation and this thread in Google Groups states this.
So I installed the adapter from this location and ran the installation script:
./bin/jboss-cli.sh --file=bin/adapter-elytron-install-offline.cli -Dserver.config=standalone-full.xml
When deploying the application I get thte following error message:
java.lang.IllegalStateException: The required mechanism 'KEYCLOAK' is not available in mechanisms [BASIC, CLIENT_CERT, DIGEST, FORM] from the HttpAuthenticationFactory
Setup
- WildFly 26 (Jakarta EE 8)
- Keycloak 16.1.1
web.xml
...ANSWER
Answered 2022-Feb-01 at 07:31I finally got it working without the Keycloak adapter, i.e. using the new built-in Elytron subsystem.
oidc.json (located in the WEB-INF
directory)
QUESTION
My Webapp is deployed in Wildfly 25.0.1.Final and is secured using OpenID Connect (OIDC). WildFly 25 enables you to secure deployments using OpenID Connect (OIDC) without installing a Keycloak client adapter.
It is configured like this:
web.xml
...ANSWER
Answered 2022-Feb-09 at 15:42This is a known issue and documented here: https://issues.redhat.com/browse/ELY-2284
If you upgrade to wildfly 26.0.1 it should be resolved.
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
We upgraded a Shopware 5 system for testing from 5.6.10 to 5.7.6
Now the console command
...ANSWER
Answered 2021-Nov-17 at 15:28Based on Michael T's comment:
After changing the tag to
QUESTION
I have created a wildfly container (wildfly 25.0.1 and keycloak 15.0.2) with the keycloak as subsystem. I have also a running keycloak container. Trying to deploy a simple jakarta app (build as war via maven and upload it into the wildfly) with a web.xml as follow leads to the following error:
...ANSWER
Answered 2022-Jan-10 at 16:50Keycloak has deprecated the Wildfly-Adapter in Favour of the built in Elytron OIDC-Authenticator. https://www.keycloak.org/2021/12/keycloak-1510-released
You can check whether that meets your requirements, or stick with Wildfly 24 for now.
See https://wildfly-security.github.io/wildfly-elytron/blog/securing-wildfly-apps-openid-connect/ for more infos about using the built in authentication with Elytron.
QUESTION
Unable to set up mTLS on the gateway. If I set gateway mode: MUTUAL
then istio-ingressgateway
outputs
Failed to load trusted CA certificates from
. I am using Cloudflare origin pull CA cert. With the mode: SIMPLE
secret works as expected.
ANSWER
Answered 2021-Dec-28 at 11:17Check the contents of the ca.crt value in the generated secret and make sure it is a valid certificate.
Failed to load trusted CA certificates from
indicates the the certificate is empty or invalid.
QUESTION
I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.
...ANSWER
Answered 2021-Nov-19 at 00:16I have solved this problem with
QUESTION
Machine: MacBook Air M1 2020
OS: macOs BigSur 11.4
Python version of venv: Python 3.8.6
Tensorflow version: ATF Apple Tensorflow 0.1a3
Pip version: 21.2.4
I have installed Tensorflow from github using this guide.
Now, my pip list is this.
...ANSWER
Answered 2021-Sep-07 at 09:57I have the same issue installing the Object Detection API for Tensorflow 2 (OD API) from sources on my MacBook Air M1 2020. It starts to lookup/download all available dependencies with very long errors and after several hours the process drains all available RAM and forces the laptop to reboot. I think the problem is with incompatible dependencies for arm64. I tried to build/install OD API for Tensorflow 1 instead and it worked! I successfully trained a model with TensorFlow 2 and GPU enabled.
Use the tf1
folder when you installing the OD API instead of tf2
:
QUESTION
data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data
I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.
...ANSWER
Answered 2021-Oct-11 at 14:21geopandas 0.10.1
- have noted that your data is on kaggle, so start by sourcing it
- there really is only one issue
shapely.geometry.MultiPoint()
constructor does not work with a filtered series. Pass it a numpy array instead and it works. - full code below, have randomly selected a point to serve as
gpdPoint
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