bilstm_keras_to_pytorch_naive.py

import torch
from torch import nn
class BiLSTM(nn.Module):
    def __init__(self, input_dim, embedding_dim, hidden_dim):
        super().__init__()
        self.input_dim = input_dim
        self.embedding_dim = embedding_dim
        self.hidden_dim = hidden_dim
        self.encoder = nn.Embedding(input_dim, embedding_dim)
        self.lstm = nn.LSTM(embedding_dim, hidden_dim,
                            num_layers=2, bidirectional=True)
        self.linear = nn.Linear(hidden_dim * 2, 1)
        self.activation = nn.Sigmoid()

    def forward(self, src):
        batch_size = src.size(1)
        output = self.encoder(src)
        output, _ = self.lstm(output)
         output = self.linear(output)
        output = self.activation(output)
        return output