sumedhpendurkar

class Encoder(nn.Module):
  def __init__(self, input_size, hidden_size, bidirectional = True):
    super(Encoder, self).__init__()
    self.hidden_size = hidden_size
    self.input_size = input_size
    self.bidirectional = bidirectional
    
    self.lstm = nn.LSTM(input_size, hidden_size, bidirectional = bidirectional)
  
  def forward(self, inputs, hidden):

sumedhpendurkar

import torch
import torch.nn as nn
from torch import optim
import torch.nn.functional as F
from torch.autograd import Variable