--- a
+++ b/src/rnn/gru.py
@@ -0,0 +1,25 @@
+import torch 
+import torch.nn as nn
+from src.rnn.rnn_utils import create_emb_layer
+
+class GRUw2vmodel(nn.Module) :
+  def __init__(self, weights_matrix, hidden_size, num_layers, device, num_classes = 10) :
+
+    super().__init__()
+    self.num_layers = num_layers
+    self.hidden_size = hidden_size
+    self.device = device
+    self.embeddings, num_embeddings, embedding_size = create_emb_layer(weights_matrix, True)
+    self.gru1 = nn.GRU(embedding_size, hidden_size, num_layers, batch_first=True)
+        
+    self.fc1 = nn.Linear(hidden_size, 10)
+        
+    self.act = nn.Sigmoid()
+      
+      
+  def forward(self, x):     
+    x = self.embeddings(x)
+    h0 = torch.zeros(self.num_layers, x.size(0), self.hidden_size).to(self.device)
+    gru_out, _ = self.gru1(x, h0)
+    out = self.fc1(gru_out[:,-1,:])
+    return self.act(out)
\ No newline at end of file