ventu | Serving the deep learning models | Machine Learning library
kandi X-RAY | ventu Summary
kandi X-RAY | ventu Summary
Serving the deep learning models easily.
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Top functions reviewed by kandi - BETA
- Return an instance of the firewall application
- Batch inference
- Inference from data
- Create an API service
- Wrapper for batch inference
- Performs single inference
- Postprocessing
- Preprocess data
- Create a modelInference model
- Run the health check
- Run a TCP service on the given host and port
- Process a batch request
- Start the client
- Request data from connection
- Send the response
- Return a socket object for sending requests
- Run Unix domain on the domain
ventu Key Features
ventu Examples and Code Snippets
Lines of Code : 97
License : No License
Copyimport argparse
import logging
import numpy as np
import torch
from pydantic import BaseModel, confloat, constr
from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
from ventu import Ventu
# request schema used for va from concurrent import futures
import httpx
import msgpack
URL = 'http://localhost:8080/inference'
HEADER = {'Content-Type': 'application/msgpack'}
packer = msgpack.Packer(
autoreset=True,
use_bin_type=True,
)
def request(text):
retur Community Discussions
Trending Discussions on ventu
QUESTION
I'm trying to understand 2D Perlin noise from a visual point of view and I want to ask a couple of questions here to make sure I'm on the right track. I use WebGL and write custom shaders for rendering.
I start by calculating a dot product across one grid cell between a position vector from the center of the cell and one vertical vector and I get the gradient below (red is positive values and blue - negative). If I rotate the vector, it rotates the gradient:
Q1: The Wikipedia on "gradient noise" says "...a lattice of random gradients, dot products of which are then interpolated...". That's not correct, what creates actual gradients here is the dot operation itself, "gradient" vectors are just normal vectors, right?
Below are 3 different interpolations of 4 dots products between 4 random vectors and 4 position vectors calculated from each corner of each cell, the first one is simple average, the second is bilinear interpolation and the third is bilinear with smoothstep.
Q2: So what gives Perlin noise its organic blobby flowing look and feel is the interpolation method, rather that the gradients, in particular, the fact that bilinear interpolation is not linear but quadratic?
Thank you!
...ANSWER
Answered 2021-Apr-05 at 03:55A1: Technically correct. Usually I use the term "gradient vectors" which I think communicates the idea better, though sometimes I do call the vectors themselves "gradients". Maybe it's more confusing than I realize, you make a good point. Sometimes I call the actual gradient as you refer to it the "ramp", but "gradient" describes it well too.
A2: It's the way the gradients are combined, yes. Each grid vertex needs to contribute in some way to the noise around it, with its contribution falling off to zero smoothly outside of the range. The fade-curve lerp accomplishes this.
Obligatory note: If you're going to actually use noise in anything, I recommend either Simplex-type noise (with good gradient vector tables, and an "Open" noise if using it for 3D+), or domain-rotated 3D+ Perlin. Take it with a grain of salt when tutorials recommend Perlin noise with no caveats. Perlin is an older noise algo that, without anything done specifically to correct it, produces a lot of squareness that is an entirely unnecessary compromise for most applications. I suggest using FastNoiseLite with these steps or these domain-rotated Perlin evaluators.
If you want to implement 2D simplex yourself, I wrote this answer a while back where I described a process.
QUESTION
I've been working on an application for a while and this particular feature is a part of a function which is supposed to read data from an api into an array so that I can display the contents on a webpage. Right now, I'm stuck here. Originally, I had a much longer section of code that wasn't working, but I've cut it down to a more specific problem: jsonBody.length returns 5, as expected, but articles.length returns 'undefined' and I don't understand why.
...ANSWER
Answered 2018-Nov-30 at 09:47I think your problem is that new Article() is not an array, but you expect it to be one.
As far as I can see, Article is a mongoose schema - not an array.
So if your jsonBody is an array of articles, you might want to map over this array and generate individual articles for each object in the list.
I.e.:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install ventu
You can use ventu like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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