mesa | mesa master branch for latest usable vc4 | Natural Language Processing library

I know that we can use projection in Elastic Search to influence which fields of the document are returned or not - similar to projection in other areas. However, can I also do a projection in such a way that fields - or for my case more importantly array elements - are filtered out if they do not meet a certain condition?

Let's say the documents indexed in ES look like this:

Overall, I am trying to render images using Unity on a remote cluster.

The cluster does not have an X server; I don't have sudo permissions, or can start a Docker container, but I can start a Singularity container.

My plan is to create a container that would simulate the X Server. I created the following Singularity definition file:

Background:
I have been eyeing writing an application which needs very basic but fast graphics (just drawing lines and squares), and I'm probably going to use a library such as GLFW, or Vulkano if i'm going with Rust.

I want to understand a specific, and I guess quite practical, detail of the Vulkan API. I understand that GPUs can be quite a complicated topic, but I want to emphasize that I don't have any background in low-level graphics or Vulkan, so I understand if my question cannot be answered, or if my question does not even make sense. I'll try my best to use the correct terminology. I have to admit, I'm not the best at skimming through and looking at large amounts of source code I don't quite understand and still grasp the overall concept, which is why I hope I can find my answer here. I've tried looking at the source code for Vulkan and Mesa drivers, but it bore no fruit.

ORIGINAL Question:
I want to understand how an API call is propagated to the GPU driver.

I have searched around, but couldn't find the specifics I am searching for. The closest posts I've found are these two:
https://softwareengineering.stackexchange.com/questions/279069/how-does-a-program-talk-to-a-graphics-card
https://superuser.com/questions/461022/how-does-the-cpu-and-gpu-interact-in-displaying-computer-graphics

They both mention something similar to "In order to make the GPU do something, you have to make a call via a supported API". I know that, but neither of the two dig into the specifics of how that API call is made. Hopefully, the diagram below illustrates my question.

i have a String and i need to convert it to json type, how can I do that?

I am trying to build a docker image. This is the full dockerfile:

Im trying to loop through a json which I get from an url using file_get_contents("someurl"). I also pass an ID to that url which i get from a parsed webhook.

The problem comes with the for/foreach, i can't seem to loop through $data when it has more than one 'producto'

Before the loop continues I have to send the data taken from $stock and $precio through $stock_quantity and $price to the product url defined by $sku taken from the json by $codigo_var

Any idea on how I could send those variables no matter if i get only one 'producto' or multiple 'producto'?

following are my files for html, .ts and json . As json data was very extensive therefore i have just added a few states and their cities. my 1st dropdown is showing all states. Now I want to match my 1st dropdown's selected value of state with a key "state" in "cities" object in my json file so i can populate 2nd dropdown with cities relevant to that state. and I want to do this in function "getCitiesForSelectedState". please help me find solution for this.

//.ts file

I would like to set up AMD Radeon for Deep Learning on Ubuntu. The main libraries for my work are keras and pytorch. I followed strictly on ROCm installation guideline here but failed at the 3rd step with the command sudo apt install rocm-dkms. Error messages were shown as follows.

I have a .txt file that has the text output from a SQL Server 19 database query. I am trying to organize the columns of the file into columns in a Pandas DataFrame. The following text is an example of the .txt file (it has 193k lines in this format):