NVIDIA TAO DNN API

GET Get action specs schema

{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema

QUERY PARAMS

neural_network_name

action_name

Examples

REQUEST

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "GET");
curl_easy_setopt(hnd, CURLOPT_URL, "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema");

CURLcode ret = curl_easy_perform(hnd);

(require '[clj-http.client :as client])

(client/get "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema")

require "http/client"

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema"

response = HTTP::Client.get url
puts response.body

using System.Net.Http.Headers;
var client = new HttpClient();
var request = new HttpRequestMessage
{
    Method = HttpMethod.Get,
    RequestUri = new Uri("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema"),
};
using (var response = await client.SendAsync(request))
{
    response.EnsureSuccessStatusCode();
    var body = await response.Content.ReadAsStringAsync();
    Console.WriteLine(body);
}

var client = new RestClient("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema");
var request = new RestRequest("", Method.Get);
var response = client.Execute(request);

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema"

	req, _ := http.NewRequest("GET", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}

GET /baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema HTTP/1.1
Host: example.com

AsyncHttpClient client = new DefaultAsyncHttpClient();
client.prepare("GET", "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema")
  .execute()
  .toCompletableFuture()
  .thenAccept(System.out::println)
  .join();

client.close();

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema"))
    .method("GET", HttpRequest.BodyPublishers.noBody())
    .build();
HttpResponse response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

OkHttpClient client = new OkHttpClient();

Request request = new Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema")
  .get()
  .build();

Response response = client.newCall(request).execute();

HttpResponse response = Unirest.get("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema")
  .asString();

const data = null;

const xhr = new XMLHttpRequest();
xhr.withCredentials = true;

xhr.addEventListener('readystatechange', function () {
  if (this.readyState === this.DONE) {
    console.log(this.responseText);
  }
});

xhr.open('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema');

xhr.send(data);

import axios from 'axios';

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema'
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

const settings = {
  async: true,
  crossDomain: true,
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema',
  method: 'GET',
  headers: {}
};

$.ajax(settings).done(function (response) {
  console.log(response);
});

val client = OkHttpClient()

val request = Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema")
  .get()
  .build()

val response = client.newCall(request).execute()

const http = require('https');

const options = {
  method: 'GET',
  hostname: 'example.com',
  port: null,
  path: '/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema',
  headers: {}
};

const req = http.request(options, function (res) {
  const chunks = [];

  res.on('data', function (chunk) {
    chunks.push(chunk);
  });

  res.on('end', function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});

req.end();

const request = require('request');

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema'
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

const unirest = require('unirest');

const req = unirest('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema');

req.end(function (res) {
  if (res.error) throw new Error(res.error);

  console.log(res.body);
});

const axios = require('axios').default;

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema'
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const fetch = require('node-fetch');

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

#import 

NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema"]
                                                       cachePolicy:NSURLRequestUseProtocolCachePolicy
                                                   timeoutInterval:10.0];
[request setHTTPMethod:@"GET"];

NSURLSession *session = [NSURLSession sharedSession];
NSURLSessionDataTask *dataTask = [session dataTaskWithRequest:request
                                            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                                                if (error) {
                                                    NSLog(@"%@", error);
                                                } else {
                                                    NSHTTPURLResponse *httpResponse = (NSHTTPURLResponse *) response;
                                                    NSLog(@"%@", httpResponse);
                                                }
                                            }];
[dataTask resume];

open Cohttp_lwt_unix
open Cohttp
open Lwt

let uri = Uri.of_string "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema" in

Client.call `GET uri
>>= fun (res, body_stream) ->
  (* Do stuff with the result *)

 "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

request('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema');

echo $response->getBody();

setUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema');
$request->setMethod(HTTP_METH_GET);

try {
  $response = $request->send();

  echo $response->getBody();
} catch (HttpException $ex) {
  echo $ex;
}

setRequestUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema');
$request->setRequestMethod('GET');
$client->enqueue($request)->send();
$response = $client->getResponse();

echo $response->getBody();

$response = Invoke-WebRequest -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema' -Method GET

$response = Invoke-RestMethod -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema' -Method GET

import http.client

conn = http.client.HTTPSConnection("example.com")

conn.request("GET", "/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema")

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import requests

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema"

response = requests.get(url)

print(response.json())

library(httr)

url <- "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema"

response <- VERB("GET", url, content_type("application/octet-stream"))

content(response, "text")

require 'uri'
require 'net/http'

url = URI("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)

response = http.request(request)
puts response.read_body

require 'faraday'

conn = Faraday.new(
  url: 'https://example.com',
)

response = conn.get('/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema') do |req|
end

puts response.status
puts response.body

use reqwest;

#[tokio::main]
pub async fn main() {
    let url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema";

    let client = reqwest::Client::new();
    let response = client.get(url)
        .send()
        .await;

    let results = response.unwrap()
        .json::()
        .await
        .unwrap();

    dbg!(results);
}

curl --request GET \
  --url {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema

http GET {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema

wget --quiet \
  --method GET \
  --output-document \
  - {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema

import Foundation

let request = NSMutableURLRequest(url: NSURL(string: "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:schema")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()

GET Get job status

{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id

QUERY PARAMS

neural_network_name

action_name

job_id

Examples

REQUEST

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "GET");
curl_easy_setopt(hnd, CURLOPT_URL, "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id");

CURLcode ret = curl_easy_perform(hnd);

(require '[clj-http.client :as client])

(client/get "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id")

require "http/client"

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id"

response = HTTP::Client.get url
puts response.body

using System.Net.Http.Headers;
var client = new HttpClient();
var request = new HttpRequestMessage
{
    Method = HttpMethod.Get,
    RequestUri = new Uri("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id"),
};
using (var response = await client.SendAsync(request))
{
    response.EnsureSuccessStatusCode();
    var body = await response.Content.ReadAsStringAsync();
    Console.WriteLine(body);
}

var client = new RestClient("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id");
var request = new RestRequest("", Method.Get);
var response = client.Execute(request);

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id"

	req, _ := http.NewRequest("GET", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}

GET /baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id HTTP/1.1
Host: example.com

AsyncHttpClient client = new DefaultAsyncHttpClient();
client.prepare("GET", "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id")
  .execute()
  .toCompletableFuture()
  .thenAccept(System.out::println)
  .join();

client.close();

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id"))
    .method("GET", HttpRequest.BodyPublishers.noBody())
    .build();
HttpResponse response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

OkHttpClient client = new OkHttpClient();

Request request = new Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id")
  .get()
  .build();

Response response = client.newCall(request).execute();

HttpResponse response = Unirest.get("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id")
  .asString();

const data = null;

const xhr = new XMLHttpRequest();
xhr.withCredentials = true;

xhr.addEventListener('readystatechange', function () {
  if (this.readyState === this.DONE) {
    console.log(this.responseText);
  }
});

xhr.open('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id');

xhr.send(data);

import axios from 'axios';

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id'
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

const settings = {
  async: true,
  crossDomain: true,
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id',
  method: 'GET',
  headers: {}
};

$.ajax(settings).done(function (response) {
  console.log(response);
});

val client = OkHttpClient()

val request = Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id")
  .get()
  .build()

val response = client.newCall(request).execute()

const http = require('https');

const options = {
  method: 'GET',
  hostname: 'example.com',
  port: null,
  path: '/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id',
  headers: {}
};

const req = http.request(options, function (res) {
  const chunks = [];

  res.on('data', function (chunk) {
    chunks.push(chunk);
  });

  res.on('end', function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});

req.end();

const request = require('request');

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id'
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

const unirest = require('unirest');

const req = unirest('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id');

req.end(function (res) {
  if (res.error) throw new Error(res.error);

  console.log(res.body);
});

const axios = require('axios').default;

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id'
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const fetch = require('node-fetch');

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

#import 

NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id"]
                                                       cachePolicy:NSURLRequestUseProtocolCachePolicy
                                                   timeoutInterval:10.0];
[request setHTTPMethod:@"GET"];

NSURLSession *session = [NSURLSession sharedSession];
NSURLSessionDataTask *dataTask = [session dataTaskWithRequest:request
                                            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                                                if (error) {
                                                    NSLog(@"%@", error);
                                                } else {
                                                    NSHTTPURLResponse *httpResponse = (NSHTTPURLResponse *) response;
                                                    NSLog(@"%@", httpResponse);
                                                }
                                            }];
[dataTask resume];

open Cohttp_lwt_unix
open Cohttp
open Lwt

let uri = Uri.of_string "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id" in

Client.call `GET uri
>>= fun (res, body_stream) ->
  (* Do stuff with the result *)

 "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

request('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id');

echo $response->getBody();

setUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id');
$request->setMethod(HTTP_METH_GET);

try {
  $response = $request->send();

  echo $response->getBody();
} catch (HttpException $ex) {
  echo $ex;
}

setRequestUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id');
$request->setRequestMethod('GET');
$client->enqueue($request)->send();
$response = $client->getResponse();

echo $response->getBody();

$response = Invoke-WebRequest -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id' -Method GET

$response = Invoke-RestMethod -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id' -Method GET

import http.client

conn = http.client.HTTPSConnection("example.com")

conn.request("GET", "/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id")

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import requests

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id"

response = requests.get(url)

print(response.json())

library(httr)

url <- "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id"

response <- VERB("GET", url, content_type("application/octet-stream"))

content(response, "text")

require 'uri'
require 'net/http'

url = URI("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)

response = http.request(request)
puts response.read_body

require 'faraday'

conn = Faraday.new(
  url: 'https://example.com',
)

response = conn.get('/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id') do |req|
end

puts response.status
puts response.body

use reqwest;

#[tokio::main]
pub async fn main() {
    let url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id";

    let client = reqwest::Client::new();
    let response = client.get(url)
        .send()
        .await;

    let results = response.unwrap()
        .json::()
        .await
        .unwrap();

    dbg!(results);
}

curl --request GET \
  --url {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id

http GET {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id

wget --quiet \
  --method GET \
  --output-document \
  - {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id

import Foundation

let request = NSMutableURLRequest(url: NSURL(string: "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name/:job_id")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()

GET List jobs for a given action

{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids

QUERY PARAMS

neural_network_name

action_name

Examples

REQUEST

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "GET");
curl_easy_setopt(hnd, CURLOPT_URL, "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids");

CURLcode ret = curl_easy_perform(hnd);

(require '[clj-http.client :as client])

(client/get "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids")

require "http/client"

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids"

response = HTTP::Client.get url
puts response.body

using System.Net.Http.Headers;
var client = new HttpClient();
var request = new HttpRequestMessage
{
    Method = HttpMethod.Get,
    RequestUri = new Uri("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids"),
};
using (var response = await client.SendAsync(request))
{
    response.EnsureSuccessStatusCode();
    var body = await response.Content.ReadAsStringAsync();
    Console.WriteLine(body);
}

var client = new RestClient("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids");
var request = new RestRequest("", Method.Get);
var response = client.Execute(request);

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids"

	req, _ := http.NewRequest("GET", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}

GET /baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids HTTP/1.1
Host: example.com

AsyncHttpClient client = new DefaultAsyncHttpClient();
client.prepare("GET", "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids")
  .execute()
  .toCompletableFuture()
  .thenAccept(System.out::println)
  .join();

client.close();

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids"))
    .method("GET", HttpRequest.BodyPublishers.noBody())
    .build();
HttpResponse response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

OkHttpClient client = new OkHttpClient();

Request request = new Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids")
  .get()
  .build();

Response response = client.newCall(request).execute();

HttpResponse response = Unirest.get("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids")
  .asString();

const data = null;

const xhr = new XMLHttpRequest();
xhr.withCredentials = true;

xhr.addEventListener('readystatechange', function () {
  if (this.readyState === this.DONE) {
    console.log(this.responseText);
  }
});

xhr.open('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids');

xhr.send(data);

import axios from 'axios';

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids'
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

const settings = {
  async: true,
  crossDomain: true,
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids',
  method: 'GET',
  headers: {}
};

$.ajax(settings).done(function (response) {
  console.log(response);
});

val client = OkHttpClient()

val request = Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids")
  .get()
  .build()

val response = client.newCall(request).execute()

const http = require('https');

const options = {
  method: 'GET',
  hostname: 'example.com',
  port: null,
  path: '/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids',
  headers: {}
};

const req = http.request(options, function (res) {
  const chunks = [];

  res.on('data', function (chunk) {
    chunks.push(chunk);
  });

  res.on('end', function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});

req.end();

const request = require('request');

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids'
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

const unirest = require('unirest');

const req = unirest('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids');

req.end(function (res) {
  if (res.error) throw new Error(res.error);

  console.log(res.body);
});

const axios = require('axios').default;

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids'
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const fetch = require('node-fetch');

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

#import 

NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids"]
                                                       cachePolicy:NSURLRequestUseProtocolCachePolicy
                                                   timeoutInterval:10.0];
[request setHTTPMethod:@"GET"];

NSURLSession *session = [NSURLSession sharedSession];
NSURLSessionDataTask *dataTask = [session dataTaskWithRequest:request
                                            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                                                if (error) {
                                                    NSLog(@"%@", error);
                                                } else {
                                                    NSHTTPURLResponse *httpResponse = (NSHTTPURLResponse *) response;
                                                    NSLog(@"%@", httpResponse);
                                                }
                                            }];
[dataTask resume];

open Cohttp_lwt_unix
open Cohttp
open Lwt

let uri = Uri.of_string "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids" in

Client.call `GET uri
>>= fun (res, body_stream) ->
  (* Do stuff with the result *)

 "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

request('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids');

echo $response->getBody();

setUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids');
$request->setMethod(HTTP_METH_GET);

try {
  $response = $request->send();

  echo $response->getBody();
} catch (HttpException $ex) {
  echo $ex;
}

setRequestUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids');
$request->setRequestMethod('GET');
$client->enqueue($request)->send();
$response = $client->getResponse();

echo $response->getBody();

$response = Invoke-WebRequest -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids' -Method GET

$response = Invoke-RestMethod -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids' -Method GET

import http.client

conn = http.client.HTTPSConnection("example.com")

conn.request("GET", "/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids")

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import requests

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids"

response = requests.get(url)

print(response.json())

library(httr)

url <- "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids"

response <- VERB("GET", url, content_type("application/octet-stream"))

content(response, "text")

require 'uri'
require 'net/http'

url = URI("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)

response = http.request(request)
puts response.read_body

require 'faraday'

conn = Faraday.new(
  url: 'https://example.com',
)

response = conn.get('/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids') do |req|
end

puts response.status
puts response.body

use reqwest;

#[tokio::main]
pub async fn main() {
    let url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids";

    let client = reqwest::Client::new();
    let response = client.get(url)
        .send()
        .await;

    let results = response.unwrap()
        .json::()
        .await
        .unwrap();

    dbg!(results);
}

curl --request GET \
  --url {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids

http GET {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids

wget --quiet \
  --method GET \
  --output-document \
  - {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids

import Foundation

let request = NSMutableURLRequest(url: NSURL(string: "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name:ids")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()

GET List supported actions for a given neural network

{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions

HEADERS

ngc_key

QUERY PARAMS

neural_network_name

Examples

REQUEST

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "GET");
curl_easy_setopt(hnd, CURLOPT_URL, "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "ngc_key: {{apiKey}}");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);

CURLcode ret = curl_easy_perform(hnd);

(require '[clj-http.client :as client])

(client/get "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions" {:headers {:ngc_key "{{apiKey}}"}})

require "http/client"

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions"
headers = HTTP::Headers{
  "ngc_key" => "{{apiKey}}"
}

response = HTTP::Client.get url, headers: headers
puts response.body

using System.Net.Http.Headers;
var client = new HttpClient();
var request = new HttpRequestMessage
{
    Method = HttpMethod.Get,
    RequestUri = new Uri("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions"),
    Headers =
    {
        { "ngc_key", "{{apiKey}}" },
    },
};
using (var response = await client.SendAsync(request))
{
    response.EnsureSuccessStatusCode();
    var body = await response.Content.ReadAsStringAsync();
    Console.WriteLine(body);
}

var client = new RestClient("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions");
var request = new RestRequest("", Method.Get);
request.AddHeader("ngc_key", "{{apiKey}}");
var response = client.Execute(request);

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("ngc_key", "{{apiKey}}")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}

GET /baseUrl/api/v1/neural_networks/:neural_network_name/actions HTTP/1.1
Ngc_key: {{apiKey}}
Host: example.com

AsyncHttpClient client = new DefaultAsyncHttpClient();
client.prepare("GET", "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions")
  .setHeader("ngc_key", "{{apiKey}}")
  .execute()
  .toCompletableFuture()
  .thenAccept(System.out::println)
  .join();

client.close();

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions"))
    .header("ngc_key", "{{apiKey}}")
    .method("GET", HttpRequest.BodyPublishers.noBody())
    .build();
HttpResponse response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

OkHttpClient client = new OkHttpClient();

Request request = new Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions")
  .get()
  .addHeader("ngc_key", "{{apiKey}}")
  .build();

Response response = client.newCall(request).execute();

HttpResponse response = Unirest.get("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions")
  .header("ngc_key", "{{apiKey}}")
  .asString();

const data = null;

const xhr = new XMLHttpRequest();
xhr.withCredentials = true;

xhr.addEventListener('readystatechange', function () {
  if (this.readyState === this.DONE) {
    console.log(this.responseText);
  }
});

xhr.open('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions');
xhr.setRequestHeader('ngc_key', '{{apiKey}}');

xhr.send(data);

import axios from 'axios';

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions',
  headers: {ngc_key: '{{apiKey}}'}
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions';
const options = {method: 'GET', headers: {ngc_key: '{{apiKey}}'}};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

const settings = {
  async: true,
  crossDomain: true,
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions',
  method: 'GET',
  headers: {
    ngc_key: '{{apiKey}}'
  }
};

$.ajax(settings).done(function (response) {
  console.log(response);
});

val client = OkHttpClient()

val request = Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions")
  .get()
  .addHeader("ngc_key", "{{apiKey}}")
  .build()

val response = client.newCall(request).execute()

const http = require('https');

const options = {
  method: 'GET',
  hostname: 'example.com',
  port: null,
  path: '/baseUrl/api/v1/neural_networks/:neural_network_name/actions',
  headers: {
    ngc_key: '{{apiKey}}'
  }
};

const req = http.request(options, function (res) {
  const chunks = [];

  res.on('data', function (chunk) {
    chunks.push(chunk);
  });

  res.on('end', function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});

req.end();

const request = require('request');

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions',
  headers: {ngc_key: '{{apiKey}}'}
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

const unirest = require('unirest');

const req = unirest('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions');

req.headers({
  ngc_key: '{{apiKey}}'
});

req.end(function (res) {
  if (res.error) throw new Error(res.error);

  console.log(res.body);
});

const axios = require('axios').default;

const options = {
  method: 'GET',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions',
  headers: {ngc_key: '{{apiKey}}'}
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const fetch = require('node-fetch');

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions';
const options = {method: 'GET', headers: {ngc_key: '{{apiKey}}'}};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

#import 

NSDictionary *headers = @{ @"ngc_key": @"{{apiKey}}" };

NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions"]
                                                       cachePolicy:NSURLRequestUseProtocolCachePolicy
                                                   timeoutInterval:10.0];
[request setHTTPMethod:@"GET"];
[request setAllHTTPHeaderFields:headers];

NSURLSession *session = [NSURLSession sharedSession];
NSURLSessionDataTask *dataTask = [session dataTaskWithRequest:request
                                            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                                                if (error) {
                                                    NSLog(@"%@", error);
                                                } else {
                                                    NSHTTPURLResponse *httpResponse = (NSHTTPURLResponse *) response;
                                                    NSLog(@"%@", httpResponse);
                                                }
                                            }];
[dataTask resume];

open Cohttp_lwt_unix
open Cohttp
open Lwt

let uri = Uri.of_string "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions" in
let headers = Header.add (Header.init ()) "ngc_key" "{{apiKey}}" in

Client.call ~headers `GET uri
>>= fun (res, body_stream) ->
  (* Do stuff with the result *)

 "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "ngc_key: {{apiKey}}"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

request('GET', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions', [
  'headers' => [
    'ngc_key' => '{{apiKey}}',
  ],
]);

echo $response->getBody();

setUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions');
$request->setMethod(HTTP_METH_GET);

$request->setHeaders([
  'ngc_key' => '{{apiKey}}'
]);

try {
  $response = $request->send();

  echo $response->getBody();
} catch (HttpException $ex) {
  echo $ex;
}

setRequestUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions');
$request->setRequestMethod('GET');
$request->setHeaders([
  'ngc_key' => '{{apiKey}}'
]);

$client->enqueue($request)->send();
$response = $client->getResponse();

echo $response->getBody();

$headers=@{}
$headers.Add("ngc_key", "{{apiKey}}")
$response = Invoke-WebRequest -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions' -Method GET -Headers $headers

$headers=@{}
$headers.Add("ngc_key", "{{apiKey}}")
$response = Invoke-RestMethod -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions' -Method GET -Headers $headers

import http.client

conn = http.client.HTTPSConnection("example.com")

headers = { 'ngc_key': "{{apiKey}}" }

conn.request("GET", "/baseUrl/api/v1/neural_networks/:neural_network_name/actions", headers=headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import requests

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions"

headers = {"ngc_key": "{{apiKey}}"}

response = requests.get(url, headers=headers)

print(response.json())

library(httr)

url <- "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions"

response <- VERB("GET", url, add_headers('ngc_key' = '{{apiKey}}'), content_type("application/octet-stream"))

content(response, "text")

require 'uri'
require 'net/http'

url = URI("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["ngc_key"] = '{{apiKey}}'

response = http.request(request)
puts response.read_body

require 'faraday'

conn = Faraday.new(
  url: 'https://example.com',
)

response = conn.get('/baseUrl/api/v1/neural_networks/:neural_network_name/actions') do |req|
  req.headers['ngc_key'] = '{{apiKey}}'
end

puts response.status
puts response.body

use reqwest;

#[tokio::main]
pub async fn main() {
    let url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions";

    let mut headers = reqwest::header::HeaderMap::new();
    headers.insert("ngc_key", "{{apiKey}}".parse().unwrap());

    let client = reqwest::Client::new();
    let response = client.get(url)
        .headers(headers)
        .send()
        .await;

    let results = response.unwrap()
        .json::()
        .await
        .unwrap();

    dbg!(results);
}

curl --request GET \
  --url {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions \
  --header 'ngc_key: {{apiKey}}'

http GET {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions \
  ngc_key:'{{apiKey}}'

wget --quiet \
  --method GET \
  --header 'ngc_key: {{apiKey}}' \
  --output-document \
  - {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions

import Foundation

let headers = ["ngc_key": "{{apiKey}}"]

let request = NSMutableURLRequest(url: NSURL(string: "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"
request.allHTTPHeaderFields = headers

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()

GET List supported neural networks

{{baseUrl}}/api/v1/neural_networks

Examples

REQUEST

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "GET");
curl_easy_setopt(hnd, CURLOPT_URL, "{{baseUrl}}/api/v1/neural_networks");

CURLcode ret = curl_easy_perform(hnd);

(require '[clj-http.client :as client])

(client/get "{{baseUrl}}/api/v1/neural_networks")

require "http/client"

url = "{{baseUrl}}/api/v1/neural_networks"

response = HTTP::Client.get url
puts response.body

using System.Net.Http.Headers;
var client = new HttpClient();
var request = new HttpRequestMessage
{
    Method = HttpMethod.Get,
    RequestUri = new Uri("{{baseUrl}}/api/v1/neural_networks"),
};
using (var response = await client.SendAsync(request))
{
    response.EnsureSuccessStatusCode();
    var body = await response.Content.ReadAsStringAsync();
    Console.WriteLine(body);
}

var client = new RestClient("{{baseUrl}}/api/v1/neural_networks");
var request = new RestRequest("", Method.Get);
var response = client.Execute(request);

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "{{baseUrl}}/api/v1/neural_networks"

	req, _ := http.NewRequest("GET", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}

GET /baseUrl/api/v1/neural_networks HTTP/1.1
Host: example.com

AsyncHttpClient client = new DefaultAsyncHttpClient();
client.prepare("GET", "{{baseUrl}}/api/v1/neural_networks")
  .execute()
  .toCompletableFuture()
  .thenAccept(System.out::println)
  .join();

client.close();

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("{{baseUrl}}/api/v1/neural_networks"))
    .method("GET", HttpRequest.BodyPublishers.noBody())
    .build();
HttpResponse response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

OkHttpClient client = new OkHttpClient();

Request request = new Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks")
  .get()
  .build();

Response response = client.newCall(request).execute();

HttpResponse response = Unirest.get("{{baseUrl}}/api/v1/neural_networks")
  .asString();

const data = null;

const xhr = new XMLHttpRequest();
xhr.withCredentials = true;

xhr.addEventListener('readystatechange', function () {
  if (this.readyState === this.DONE) {
    console.log(this.responseText);
  }
});

xhr.open('GET', '{{baseUrl}}/api/v1/neural_networks');

xhr.send(data);

import axios from 'axios';

const options = {method: 'GET', url: '{{baseUrl}}/api/v1/neural_networks'};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const url = '{{baseUrl}}/api/v1/neural_networks';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

const settings = {
  async: true,
  crossDomain: true,
  url: '{{baseUrl}}/api/v1/neural_networks',
  method: 'GET',
  headers: {}
};

$.ajax(settings).done(function (response) {
  console.log(response);
});

val client = OkHttpClient()

val request = Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks")
  .get()
  .build()

val response = client.newCall(request).execute()

const http = require('https');

const options = {
  method: 'GET',
  hostname: 'example.com',
  port: null,
  path: '/baseUrl/api/v1/neural_networks',
  headers: {}
};

const req = http.request(options, function (res) {
  const chunks = [];

  res.on('data', function (chunk) {
    chunks.push(chunk);
  });

  res.on('end', function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});

req.end();

const request = require('request');

const options = {method: 'GET', url: '{{baseUrl}}/api/v1/neural_networks'};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

const unirest = require('unirest');

const req = unirest('GET', '{{baseUrl}}/api/v1/neural_networks');

req.end(function (res) {
  if (res.error) throw new Error(res.error);

  console.log(res.body);
});

const axios = require('axios').default;

const options = {method: 'GET', url: '{{baseUrl}}/api/v1/neural_networks'};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const fetch = require('node-fetch');

const url = '{{baseUrl}}/api/v1/neural_networks';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

#import 

NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"{{baseUrl}}/api/v1/neural_networks"]
                                                       cachePolicy:NSURLRequestUseProtocolCachePolicy
                                                   timeoutInterval:10.0];
[request setHTTPMethod:@"GET"];

NSURLSession *session = [NSURLSession sharedSession];
NSURLSessionDataTask *dataTask = [session dataTaskWithRequest:request
                                            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                                                if (error) {
                                                    NSLog(@"%@", error);
                                                } else {
                                                    NSHTTPURLResponse *httpResponse = (NSHTTPURLResponse *) response;
                                                    NSLog(@"%@", httpResponse);
                                                }
                                            }];
[dataTask resume];

open Cohttp_lwt_unix
open Cohttp
open Lwt

let uri = Uri.of_string "{{baseUrl}}/api/v1/neural_networks" in

Client.call `GET uri
>>= fun (res, body_stream) ->
  (* Do stuff with the result *)

 "{{baseUrl}}/api/v1/neural_networks",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

request('GET', '{{baseUrl}}/api/v1/neural_networks');

echo $response->getBody();

setUrl('{{baseUrl}}/api/v1/neural_networks');
$request->setMethod(HTTP_METH_GET);

try {
  $response = $request->send();

  echo $response->getBody();
} catch (HttpException $ex) {
  echo $ex;
}

setRequestUrl('{{baseUrl}}/api/v1/neural_networks');
$request->setRequestMethod('GET');
$client->enqueue($request)->send();
$response = $client->getResponse();

echo $response->getBody();

$response = Invoke-WebRequest -Uri '{{baseUrl}}/api/v1/neural_networks' -Method GET

$response = Invoke-RestMethod -Uri '{{baseUrl}}/api/v1/neural_networks' -Method GET

import http.client

conn = http.client.HTTPSConnection("example.com")

conn.request("GET", "/baseUrl/api/v1/neural_networks")

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import requests

url = "{{baseUrl}}/api/v1/neural_networks"

response = requests.get(url)

print(response.json())

library(httr)

url <- "{{baseUrl}}/api/v1/neural_networks"

response <- VERB("GET", url, content_type("application/octet-stream"))

content(response, "text")

require 'uri'
require 'net/http'

url = URI("{{baseUrl}}/api/v1/neural_networks")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)

response = http.request(request)
puts response.read_body

require 'faraday'

conn = Faraday.new(
  url: 'https://example.com',
)

response = conn.get('/baseUrl/api/v1/neural_networks') do |req|
end

puts response.status
puts response.body

use reqwest;

#[tokio::main]
pub async fn main() {
    let url = "{{baseUrl}}/api/v1/neural_networks";

    let client = reqwest::Client::new();
    let response = client.get(url)
        .send()
        .await;

    let results = response.unwrap()
        .json::()
        .await
        .unwrap();

    dbg!(results);
}

curl --request GET \
  --url {{baseUrl}}/api/v1/neural_networks

http GET {{baseUrl}}/api/v1/neural_networks

wget --quiet \
  --method GET \
  --output-document \
  - {{baseUrl}}/api/v1/neural_networks

import Foundation

let request = NSMutableURLRequest(url: NSURL(string: "{{baseUrl}}/api/v1/neural_networks")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()

POST List supported pretrained models for a given neural network

{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models

HEADERS

ngc_key

QUERY PARAMS

neural_network_name

BODY json

{
  "ngc_key": ""
}

Examples

REQUEST

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_URL, "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "ngc_key: {{apiKey}}");
headers = curl_slist_append(headers, "content-type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);

curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{\n  \"ngc_key\": \"\"\n}");

CURLcode ret = curl_easy_perform(hnd);

(require '[clj-http.client :as client])

(client/post "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models" {:headers {:ngc_key "{{apiKey}}"}
                                                                                                          :content-type :json
                                                                                                          :form-params {:ngc_key ""}})

require "http/client"

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models"
headers = HTTP::Headers{
  "ngc_key" => "{{apiKey}}"
  "content-type" => "application/json"
}
reqBody = "{\n  \"ngc_key\": \"\"\n}"

response = HTTP::Client.post url, headers: headers, body: reqBody
puts response.body

using System.Net.Http.Headers;
var client = new HttpClient();
var request = new HttpRequestMessage
{
    Method = HttpMethod.Post,
    RequestUri = new Uri("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models"),
    Headers =
    {
        { "ngc_key", "{{apiKey}}" },
    },
    Content = new StringContent("{\n  \"ngc_key\": \"\"\n}")
    {
        Headers =
        {
            ContentType = new MediaTypeHeaderValue("application/json")
        }
    }
};
using (var response = await client.SendAsync(request))
{
    response.EnsureSuccessStatusCode();
    var body = await response.Content.ReadAsStringAsync();
    Console.WriteLine(body);
}

var client = new RestClient("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models");
var request = new RestRequest("", Method.Post);
request.AddHeader("ngc_key", "{{apiKey}}");
request.AddHeader("content-type", "application/json");
request.AddParameter("application/json", "{\n  \"ngc_key\": \"\"\n}", ParameterType.RequestBody);
var response = client.Execute(request);

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models"

	payload := strings.NewReader("{\n  \"ngc_key\": \"\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("ngc_key", "{{apiKey}}")
	req.Header.Add("content-type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}

POST /baseUrl/api/v1/neural_networks/:neural_network_name/pretrained_models HTTP/1.1
Ngc_key: {{apiKey}}
Content-Type: application/json
Host: example.com
Content-Length: 19

{
  "ngc_key": ""
}

AsyncHttpClient client = new DefaultAsyncHttpClient();
client.prepare("POST", "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models")
  .setHeader("ngc_key", "{{apiKey}}")
  .setHeader("content-type", "application/json")
  .setBody("{\n  \"ngc_key\": \"\"\n}")
  .execute()
  .toCompletableFuture()
  .thenAccept(System.out::println)
  .join();

client.close();

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models"))
    .header("ngc_key", "{{apiKey}}")
    .header("content-type", "application/json")
    .method("POST", HttpRequest.BodyPublishers.ofString("{\n  \"ngc_key\": \"\"\n}"))
    .build();
HttpResponse response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

OkHttpClient client = new OkHttpClient();

MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\n  \"ngc_key\": \"\"\n}");
Request request = new Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models")
  .post(body)
  .addHeader("ngc_key", "{{apiKey}}")
  .addHeader("content-type", "application/json")
  .build();

Response response = client.newCall(request).execute();

HttpResponse response = Unirest.post("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models")
  .header("ngc_key", "{{apiKey}}")
  .header("content-type", "application/json")
  .body("{\n  \"ngc_key\": \"\"\n}")
  .asString();

const data = JSON.stringify({
  ngc_key: ''
});

const xhr = new XMLHttpRequest();
xhr.withCredentials = true;

xhr.addEventListener('readystatechange', function () {
  if (this.readyState === this.DONE) {
    console.log(this.responseText);
  }
});

xhr.open('POST', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models');
xhr.setRequestHeader('ngc_key', '{{apiKey}}');
xhr.setRequestHeader('content-type', 'application/json');

xhr.send(data);

import axios from 'axios';

const options = {
  method: 'POST',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  data: {ngc_key: ''}
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models';
const options = {
  method: 'POST',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  body: '{"ngc_key":""}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

const settings = {
  async: true,
  crossDomain: true,
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models',
  method: 'POST',
  headers: {
    ngc_key: '{{apiKey}}',
    'content-type': 'application/json'
  },
  processData: false,
  data: '{\n  "ngc_key": ""\n}'
};

$.ajax(settings).done(function (response) {
  console.log(response);
});

val client = OkHttpClient()

val mediaType = MediaType.parse("application/json")
val body = RequestBody.create(mediaType, "{\n  \"ngc_key\": \"\"\n}")
val request = Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models")
  .post(body)
  .addHeader("ngc_key", "{{apiKey}}")
  .addHeader("content-type", "application/json")
  .build()

val response = client.newCall(request).execute()

const http = require('https');

const options = {
  method: 'POST',
  hostname: 'example.com',
  port: null,
  path: '/baseUrl/api/v1/neural_networks/:neural_network_name/pretrained_models',
  headers: {
    ngc_key: '{{apiKey}}',
    'content-type': 'application/json'
  }
};

const req = http.request(options, function (res) {
  const chunks = [];

  res.on('data', function (chunk) {
    chunks.push(chunk);
  });

  res.on('end', function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});

req.write(JSON.stringify({ngc_key: ''}));
req.end();

const request = require('request');

const options = {
  method: 'POST',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  body: {ngc_key: ''},
  json: true
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

const unirest = require('unirest');

const req = unirest('POST', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models');

req.headers({
  ngc_key: '{{apiKey}}',
  'content-type': 'application/json'
});

req.type('json');
req.send({
  ngc_key: ''
});

req.end(function (res) {
  if (res.error) throw new Error(res.error);

  console.log(res.body);
});

const axios = require('axios').default;

const options = {
  method: 'POST',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  data: {ngc_key: ''}
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const fetch = require('node-fetch');

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models';
const options = {
  method: 'POST',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  body: '{"ngc_key":""}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

#import 

NSDictionary *headers = @{ @"ngc_key": @"{{apiKey}}",
                           @"content-type": @"application/json" };
NSDictionary *parameters = @{ @"ngc_key": @"" };

NSData *postData = [NSJSONSerialization dataWithJSONObject:parameters options:0 error:nil];

NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models"]
                                                       cachePolicy:NSURLRequestUseProtocolCachePolicy
                                                   timeoutInterval:10.0];
[request setHTTPMethod:@"POST"];
[request setAllHTTPHeaderFields:headers];
[request setHTTPBody:postData];

NSURLSession *session = [NSURLSession sharedSession];
NSURLSessionDataTask *dataTask = [session dataTaskWithRequest:request
                                            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                                                if (error) {
                                                    NSLog(@"%@", error);
                                                } else {
                                                    NSHTTPURLResponse *httpResponse = (NSHTTPURLResponse *) response;
                                                    NSLog(@"%@", httpResponse);
                                                }
                                            }];
[dataTask resume];

open Cohttp_lwt_unix
open Cohttp
open Lwt

let uri = Uri.of_string "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models" in
let headers = Header.add_list (Header.init ()) [
  ("ngc_key", "{{apiKey}}");
  ("content-type", "application/json");
] in
let body = Cohttp_lwt_body.of_string "{\n  \"ngc_key\": \"\"\n}" in

Client.call ~headers ~body `POST uri
>>= fun (res, body_stream) ->
  (* Do stuff with the result *)

 "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'ngc_key' => ''
  ]),
  CURLOPT_HTTPHEADER => [
    "content-type: application/json",
    "ngc_key: {{apiKey}}"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

request('POST', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models', [
  'body' => '{
  "ngc_key": ""
}',
  'headers' => [
    'content-type' => 'application/json',
    'ngc_key' => '{{apiKey}}',
  ],
]);

echo $response->getBody();

setUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models');
$request->setMethod(HTTP_METH_POST);

$request->setHeaders([
  'ngc_key' => '{{apiKey}}',
  'content-type' => 'application/json'
]);

$request->setContentType('application/json');
$request->setBody(json_encode([
  'ngc_key' => ''
]));

try {
  $response = $request->send();

  echo $response->getBody();
} catch (HttpException $ex) {
  echo $ex;
}

append(json_encode([
  'ngc_key' => ''
]));
$request->setRequestUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models');
$request->setRequestMethod('POST');
$request->setBody($body);

$request->setHeaders([
  'ngc_key' => '{{apiKey}}',
  'content-type' => 'application/json'
]);

$client->enqueue($request)->send();
$response = $client->getResponse();

echo $response->getBody();

$headers=@{}
$headers.Add("ngc_key", "{{apiKey}}")
$headers.Add("content-type", "application/json")
$response = Invoke-WebRequest -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "ngc_key": ""
}'

$headers=@{}
$headers.Add("ngc_key", "{{apiKey}}")
$headers.Add("content-type", "application/json")
$response = Invoke-RestMethod -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "ngc_key": ""
}'

import http.client

conn = http.client.HTTPSConnection("example.com")

payload = "{\n  \"ngc_key\": \"\"\n}"

headers = {
    'ngc_key': "{{apiKey}}",
    'content-type': "application/json"
}

conn.request("POST", "/baseUrl/api/v1/neural_networks/:neural_network_name/pretrained_models", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import requests

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models"

payload = { "ngc_key": "" }
headers = {
    "ngc_key": "{{apiKey}}",
    "content-type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

library(httr)

url <- "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models"

payload <- "{\n  \"ngc_key\": \"\"\n}"

encode <- "json"

response <- VERB("POST", url, body = payload, add_headers('ngc_key' = '{{apiKey}}'), content_type("application/json"), encode = encode)

content(response, "text")

require 'uri'
require 'net/http'

url = URI("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["ngc_key"] = '{{apiKey}}'
request["content-type"] = 'application/json'
request.body = "{\n  \"ngc_key\": \"\"\n}"

response = http.request(request)
puts response.read_body

require 'faraday'

conn = Faraday.new(
  url: 'https://example.com',
  headers: {'Content-Type' => 'application/json'}
)

response = conn.post('/baseUrl/api/v1/neural_networks/:neural_network_name/pretrained_models') do |req|
  req.headers['ngc_key'] = '{{apiKey}}'
  req.body = "{\n  \"ngc_key\": \"\"\n}"
end

puts response.status
puts response.body

use serde_json::json;
use reqwest;

#[tokio::main]
pub async fn main() {
    let url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models";

    let payload = json!({"ngc_key": ""});

    let mut headers = reqwest::header::HeaderMap::new();
    headers.insert("ngc_key", "{{apiKey}}".parse().unwrap());
    headers.insert("content-type", "application/json".parse().unwrap());

    let client = reqwest::Client::new();
    let response = client.post(url)
        .headers(headers)
        .json(&payload)
        .send()
        .await;

    let results = response.unwrap()
        .json::()
        .await
        .unwrap();

    dbg!(results);
}

curl --request POST \
  --url {{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models \
  --header 'content-type: application/json' \
  --header 'ngc_key: {{apiKey}}' \
  --data '{
  "ngc_key": ""
}'

echo '{
  "ngc_key": ""
}' |  \
  http POST {{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models \
  content-type:application/json \
  ngc_key:'{{apiKey}}'

wget --quiet \
  --method POST \
  --header 'ngc_key: {{apiKey}}' \
  --header 'content-type: application/json' \
  --body-data '{\n  "ngc_key": ""\n}' \
  --output-document \
  - {{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models

import Foundation

let headers = [
  "ngc_key": "{{apiKey}}",
  "content-type": "application/json"
]
let parameters = ["ngc_key": ""] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/pretrained_models")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()

POST Run an action

{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name

HEADERS

ngc_key

QUERY PARAMS

neural_network_name

action_name

BODY json

{
  "callback": "",
  "mlops": "",
  "ptm": "",
  "specs": "",
  "storage": ""
}

Examples

REQUEST

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_URL, "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "ngc_key: {{apiKey}}");
headers = curl_slist_append(headers, "content-type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);

curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}");

CURLcode ret = curl_easy_perform(hnd);

(require '[clj-http.client :as client])

(client/post "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name" {:headers {:ngc_key "{{apiKey}}"}
                                                                                                             :content-type :json
                                                                                                             :form-params {:callback ""
                                                                                                                           :mlops ""
                                                                                                                           :ptm ""
                                                                                                                           :specs ""
                                                                                                                           :storage ""}})

require "http/client"

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name"
headers = HTTP::Headers{
  "ngc_key" => "{{apiKey}}"
  "content-type" => "application/json"
}
reqBody = "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}"

response = HTTP::Client.post url, headers: headers, body: reqBody
puts response.body

using System.Net.Http.Headers;
var client = new HttpClient();
var request = new HttpRequestMessage
{
    Method = HttpMethod.Post,
    RequestUri = new Uri("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name"),
    Headers =
    {
        { "ngc_key", "{{apiKey}}" },
    },
    Content = new StringContent("{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}")
    {
        Headers =
        {
            ContentType = new MediaTypeHeaderValue("application/json")
        }
    }
};
using (var response = await client.SendAsync(request))
{
    response.EnsureSuccessStatusCode();
    var body = await response.Content.ReadAsStringAsync();
    Console.WriteLine(body);
}

var client = new RestClient("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name");
var request = new RestRequest("", Method.Post);
request.AddHeader("ngc_key", "{{apiKey}}");
request.AddHeader("content-type", "application/json");
request.AddParameter("application/json", "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}", ParameterType.RequestBody);
var response = client.Execute(request);

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name"

	payload := strings.NewReader("{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("ngc_key", "{{apiKey}}")
	req.Header.Add("content-type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}

POST /baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name HTTP/1.1
Ngc_key: {{apiKey}}
Content-Type: application/json
Host: example.com
Content-Length: 80

{
  "callback": "",
  "mlops": "",
  "ptm": "",
  "specs": "",
  "storage": ""
}

AsyncHttpClient client = new DefaultAsyncHttpClient();
client.prepare("POST", "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name")
  .setHeader("ngc_key", "{{apiKey}}")
  .setHeader("content-type", "application/json")
  .setBody("{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}")
  .execute()
  .toCompletableFuture()
  .thenAccept(System.out::println)
  .join();

client.close();

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name"))
    .header("ngc_key", "{{apiKey}}")
    .header("content-type", "application/json")
    .method("POST", HttpRequest.BodyPublishers.ofString("{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}"))
    .build();
HttpResponse response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

OkHttpClient client = new OkHttpClient();

MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}");
Request request = new Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name")
  .post(body)
  .addHeader("ngc_key", "{{apiKey}}")
  .addHeader("content-type", "application/json")
  .build();

Response response = client.newCall(request).execute();

HttpResponse response = Unirest.post("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name")
  .header("ngc_key", "{{apiKey}}")
  .header("content-type", "application/json")
  .body("{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}")
  .asString();

const data = JSON.stringify({
  callback: '',
  mlops: '',
  ptm: '',
  specs: '',
  storage: ''
});

const xhr = new XMLHttpRequest();
xhr.withCredentials = true;

xhr.addEventListener('readystatechange', function () {
  if (this.readyState === this.DONE) {
    console.log(this.responseText);
  }
});

xhr.open('POST', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name');
xhr.setRequestHeader('ngc_key', '{{apiKey}}');
xhr.setRequestHeader('content-type', 'application/json');

xhr.send(data);

import axios from 'axios';

const options = {
  method: 'POST',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  data: {callback: '', mlops: '', ptm: '', specs: '', storage: ''}
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name';
const options = {
  method: 'POST',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  body: '{"callback":"","mlops":"","ptm":"","specs":"","storage":""}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

const settings = {
  async: true,
  crossDomain: true,
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name',
  method: 'POST',
  headers: {
    ngc_key: '{{apiKey}}',
    'content-type': 'application/json'
  },
  processData: false,
  data: '{\n  "callback": "",\n  "mlops": "",\n  "ptm": "",\n  "specs": "",\n  "storage": ""\n}'
};

$.ajax(settings).done(function (response) {
  console.log(response);
});

val client = OkHttpClient()

val mediaType = MediaType.parse("application/json")
val body = RequestBody.create(mediaType, "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}")
val request = Request.Builder()
  .url("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name")
  .post(body)
  .addHeader("ngc_key", "{{apiKey}}")
  .addHeader("content-type", "application/json")
  .build()

val response = client.newCall(request).execute()

const http = require('https');

const options = {
  method: 'POST',
  hostname: 'example.com',
  port: null,
  path: '/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name',
  headers: {
    ngc_key: '{{apiKey}}',
    'content-type': 'application/json'
  }
};

const req = http.request(options, function (res) {
  const chunks = [];

  res.on('data', function (chunk) {
    chunks.push(chunk);
  });

  res.on('end', function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});

req.write(JSON.stringify({callback: '', mlops: '', ptm: '', specs: '', storage: ''}));
req.end();

const request = require('request');

const options = {
  method: 'POST',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  body: {callback: '', mlops: '', ptm: '', specs: '', storage: ''},
  json: true
};

request(options, function (error, response, body) {
  if (error) throw new Error(error);

  console.log(body);
});

const unirest = require('unirest');

const req = unirest('POST', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name');

req.headers({
  ngc_key: '{{apiKey}}',
  'content-type': 'application/json'
});

req.type('json');
req.send({
  callback: '',
  mlops: '',
  ptm: '',
  specs: '',
  storage: ''
});

req.end(function (res) {
  if (res.error) throw new Error(res.error);

  console.log(res.body);
});

const axios = require('axios').default;

const options = {
  method: 'POST',
  url: '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  data: {callback: '', mlops: '', ptm: '', specs: '', storage: ''}
};

try {
  const { data } = await axios.request(options);
  console.log(data);
} catch (error) {
  console.error(error);
}

const fetch = require('node-fetch');

const url = '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name';
const options = {
  method: 'POST',
  headers: {ngc_key: '{{apiKey}}', 'content-type': 'application/json'},
  body: '{"callback":"","mlops":"","ptm":"","specs":"","storage":""}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

#import 

NSDictionary *headers = @{ @"ngc_key": @"{{apiKey}}",
                           @"content-type": @"application/json" };
NSDictionary *parameters = @{ @"callback": @"",
                              @"mlops": @"",
                              @"ptm": @"",
                              @"specs": @"",
                              @"storage": @"" };

NSData *postData = [NSJSONSerialization dataWithJSONObject:parameters options:0 error:nil];

NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name"]
                                                       cachePolicy:NSURLRequestUseProtocolCachePolicy
                                                   timeoutInterval:10.0];
[request setHTTPMethod:@"POST"];
[request setAllHTTPHeaderFields:headers];
[request setHTTPBody:postData];

NSURLSession *session = [NSURLSession sharedSession];
NSURLSessionDataTask *dataTask = [session dataTaskWithRequest:request
                                            completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                                                if (error) {
                                                    NSLog(@"%@", error);
                                                } else {
                                                    NSHTTPURLResponse *httpResponse = (NSHTTPURLResponse *) response;
                                                    NSLog(@"%@", httpResponse);
                                                }
                                            }];
[dataTask resume];

open Cohttp_lwt_unix
open Cohttp
open Lwt

let uri = Uri.of_string "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name" in
let headers = Header.add_list (Header.init ()) [
  ("ngc_key", "{{apiKey}}");
  ("content-type", "application/json");
] in
let body = Cohttp_lwt_body.of_string "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}" in

Client.call ~headers ~body `POST uri
>>= fun (res, body_stream) ->
  (* Do stuff with the result *)

 "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'callback' => '',
    'mlops' => '',
    'ptm' => '',
    'specs' => '',
    'storage' => ''
  ]),
  CURLOPT_HTTPHEADER => [
    "content-type: application/json",
    "ngc_key: {{apiKey}}"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

request('POST', '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name', [
  'body' => '{
  "callback": "",
  "mlops": "",
  "ptm": "",
  "specs": "",
  "storage": ""
}',
  'headers' => [
    'content-type' => 'application/json',
    'ngc_key' => '{{apiKey}}',
  ],
]);

echo $response->getBody();

setUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name');
$request->setMethod(HTTP_METH_POST);

$request->setHeaders([
  'ngc_key' => '{{apiKey}}',
  'content-type' => 'application/json'
]);

$request->setContentType('application/json');
$request->setBody(json_encode([
  'callback' => '',
  'mlops' => '',
  'ptm' => '',
  'specs' => '',
  'storage' => ''
]));

try {
  $response = $request->send();

  echo $response->getBody();
} catch (HttpException $ex) {
  echo $ex;
}

append(json_encode([
  'callback' => '',
  'mlops' => '',
  'ptm' => '',
  'specs' => '',
  'storage' => ''
]));
$request->setRequestUrl('{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name');
$request->setRequestMethod('POST');
$request->setBody($body);

$request->setHeaders([
  'ngc_key' => '{{apiKey}}',
  'content-type' => 'application/json'
]);

$client->enqueue($request)->send();
$response = $client->getResponse();

echo $response->getBody();

$headers=@{}
$headers.Add("ngc_key", "{{apiKey}}")
$headers.Add("content-type", "application/json")
$response = Invoke-WebRequest -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "callback": "",
  "mlops": "",
  "ptm": "",
  "specs": "",
  "storage": ""
}'

$headers=@{}
$headers.Add("ngc_key", "{{apiKey}}")
$headers.Add("content-type", "application/json")
$response = Invoke-RestMethod -Uri '{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "callback": "",
  "mlops": "",
  "ptm": "",
  "specs": "",
  "storage": ""
}'

import http.client

conn = http.client.HTTPSConnection("example.com")

payload = "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}"

headers = {
    'ngc_key': "{{apiKey}}",
    'content-type': "application/json"
}

conn.request("POST", "/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name", payload, headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

import requests

url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name"

payload = {
    "callback": "",
    "mlops": "",
    "ptm": "",
    "specs": "",
    "storage": ""
}
headers = {
    "ngc_key": "{{apiKey}}",
    "content-type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

library(httr)

url <- "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name"

payload <- "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}"

encode <- "json"

response <- VERB("POST", url, body = payload, add_headers('ngc_key' = '{{apiKey}}'), content_type("application/json"), encode = encode)

content(response, "text")

require 'uri'
require 'net/http'

url = URI("{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["ngc_key"] = '{{apiKey}}'
request["content-type"] = 'application/json'
request.body = "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}"

response = http.request(request)
puts response.read_body

require 'faraday'

conn = Faraday.new(
  url: 'https://example.com',
  headers: {'Content-Type' => 'application/json'}
)

response = conn.post('/baseUrl/api/v1/neural_networks/:neural_network_name/actions/:action_name') do |req|
  req.headers['ngc_key'] = '{{apiKey}}'
  req.body = "{\n  \"callback\": \"\",\n  \"mlops\": \"\",\n  \"ptm\": \"\",\n  \"specs\": \"\",\n  \"storage\": \"\"\n}"
end

puts response.status
puts response.body

use serde_json::json;
use reqwest;

#[tokio::main]
pub async fn main() {
    let url = "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name";

    let payload = json!({
        "callback": "",
        "mlops": "",
        "ptm": "",
        "specs": "",
        "storage": ""
    });

    let mut headers = reqwest::header::HeaderMap::new();
    headers.insert("ngc_key", "{{apiKey}}".parse().unwrap());
    headers.insert("content-type", "application/json".parse().unwrap());

    let client = reqwest::Client::new();
    let response = client.post(url)
        .headers(headers)
        .json(&payload)
        .send()
        .await;

    let results = response.unwrap()
        .json::()
        .await
        .unwrap();

    dbg!(results);
}

curl --request POST \
  --url {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name \
  --header 'content-type: application/json' \
  --header 'ngc_key: {{apiKey}}' \
  --data '{
  "callback": "",
  "mlops": "",
  "ptm": "",
  "specs": "",
  "storage": ""
}'

echo '{
  "callback": "",
  "mlops": "",
  "ptm": "",
  "specs": "",
  "storage": ""
}' |  \
  http POST {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name \
  content-type:application/json \
  ngc_key:'{{apiKey}}'

wget --quiet \
  --method POST \
  --header 'ngc_key: {{apiKey}}' \
  --header 'content-type: application/json' \
  --body-data '{\n  "callback": "",\n  "mlops": "",\n  "ptm": "",\n  "specs": "",\n  "storage": ""\n}' \
  --output-document \
  - {{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name

import Foundation

let headers = [
  "ngc_key": "{{apiKey}}",
  "content-type": "application/json"
]
let parameters = [
  "callback": "",
  "mlops": "",
  "ptm": "",
  "specs": "",
  "storage": ""
] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "{{baseUrl}}/api/v1/neural_networks/:neural_network_name/actions/:action_name")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()