simple-ueditor | Ueditor 的简化版

import torch
from vit_pytorch import SimpleViT

v = SimpleViT(
    image_size = 256,
    patch_size = 32,
    num_classes = 1000,
    dim = 1024,
    depth = 6,
    heads = 16,
    mlp_dim = 2048
)

img = torch.randn(1, 3, 256, 256)

preds = v(img) #  

ImageLoader imageLoader = ImageLoader.getInstance(); // Get singleton instance


// Load image, decode it to Bitmap and display Bitmap in ImageView (or any other view 
//	which implements ImageAware interface)
imageLoader.displayImage(imageUri, image  

import { WebSocketServer } from 'ws';

const wss = new WebSocketServer({ port: 8080 });

wss.on('connection', function connection(ws) {
  ws.on('message', function message(data) {
    console.log('received: %s', data);
  });

  ws.send('something');
  

def simple_save(session, export_dir, inputs, outputs, legacy_init_op=None):
  """Convenience function to build a SavedModel suitable for serving.

  In many common cases, saving models for serving will be as simple as:

      simple_save(session,
     

def lecun_uniform(seed=None):
  """LeCun uniform initializer.

  Initializers allow you to pre-specify an initialization strategy, encoded in
  the Initializer object, without knowing the shape and dtype of the variable
  being initialized.

  Draws   

public static void main(String[] args) {
        System.out.println("example 1:");
        BiFunction exampleEquation1 = (x, y) -> x;
        ArrayList points1 = eulerFull(0, 4, 0.1, 0, exampleEquation1);
        assert points1.get(points1.size()