anshkush92

import torch
import torch.nn as nn
import torch.nn.functional as F

class Attention(nn.Module):
    def __init__(self, nHidden):
        super(Attention, self).__init__()
        self.attention = nn.Linear(nHidden * 2, nHidden * 2)
        self.v = nn.Linear(nHidden * 2, 1, bias=False)

anshkush92

import torch
import torch.nn as nn
import torch.nn.functional as F

class Attention(nn.Module):
    def __init__(self, nHidden):
        super(Attention, self).__init__()
        self.attention = nn.Linear(nHidden * 2, nHidden * 2)
        self.v = nn.Linear(nHidden * 2, 1, bias=False)

anshkush92

import torch.nn as nn
import torch.nn.functional as F

class BidirectionalGRU(nn.Module):
    def __init__(self, nIn, nHidden, nOut):
        super(BidirectionalGRU, self).__init__()
        self.rnn = nn.GRU(nIn, nHidden, bidirectional=True)
        self.embedding = nn.Linear(nHidden * 2, nOut)

    def forward(self, input):

anshkush92

const debounce = (callbackFunction, delay) => {
    let timeoutId = null;

    return () => {
        if (timeoutId !== null) clearTimeout(timeoutId);

        timeoutId = setTimeout(() => {
            callbackFunction();
        }, delay);
    }

anshkush92

// Test -------------------------- Importing the Packages ---------------------------------

// Test -------------------------- [Path] -----------------

// Test -------------------------- The Server Side Code ----------------------------------

// Test -------------------------- Exporting the server side code ------------------------