diff --git a/testdata/dnn/onnx/data/input_lstm_cell_bidirectional.npy b/testdata/dnn/onnx/data/input_lstm_cell_bidirectional.npy
new file mode 100644
index 000000000..c8157ca07
Binary files /dev/null and b/testdata/dnn/onnx/data/input_lstm_cell_bidirectional.npy differ
diff --git a/testdata/dnn/onnx/data/input_lstm_cell_forward.npy b/testdata/dnn/onnx/data/input_lstm_cell_forward.npy
new file mode 100644
index 000000000..79fec64e7
Binary files /dev/null and b/testdata/dnn/onnx/data/input_lstm_cell_forward.npy differ
diff --git a/testdata/dnn/onnx/data/input_lstm_cell_with_peepholes.npy b/testdata/dnn/onnx/data/input_lstm_cell_with_peepholes.npy
new file mode 100644
index 000000000..2078f9ab2
Binary files /dev/null and b/testdata/dnn/onnx/data/input_lstm_cell_with_peepholes.npy differ
diff --git a/testdata/dnn/onnx/data/output_lstm_cell_bidirectional.npy b/testdata/dnn/onnx/data/output_lstm_cell_bidirectional.npy
new file mode 100644
index 000000000..6e3d96038
Binary files /dev/null and b/testdata/dnn/onnx/data/output_lstm_cell_bidirectional.npy differ
diff --git a/testdata/dnn/onnx/data/output_lstm_cell_forward.npy b/testdata/dnn/onnx/data/output_lstm_cell_forward.npy
new file mode 100644
index 000000000..c022b9fa2
Binary files /dev/null and b/testdata/dnn/onnx/data/output_lstm_cell_forward.npy differ
diff --git a/testdata/dnn/onnx/data/output_lstm_cell_with_peepholes.npy b/testdata/dnn/onnx/data/output_lstm_cell_with_peepholes.npy
new file mode 100644
index 000000000..a2d0e2777
Binary files /dev/null and b/testdata/dnn/onnx/data/output_lstm_cell_with_peepholes.npy differ
diff --git a/testdata/dnn/onnx/generate_onnx_models.py b/testdata/dnn/onnx/generate_onnx_models.py
index b930c84d2..93e8874ff 100644
--- a/testdata/dnn/onnx/generate_onnx_models.py
+++ b/testdata/dnn/onnx/generate_onnx_models.py
@@ -859,6 +859,39 @@ def forward(self, t):
 save_data_and_model("hidden_lstm_bi", input, hidden_lstm, version=11, export_params=True)
 
 
+batch = 5
+features = 4
+hidden = 3
+seq_len = 2
+num_layers=1
+bidirectional=True
+
+class LSTM(nn.Module):
+
+    def __init__(self):
+        super(LSTM, self).__init__()
+        self.lstm = nn.LSTM(features, hidden, num_layers, bidirectional=bidirectional)
+        self.h0 = torch.from_numpy(np.ones((num_layers + int(bidirectional), batch, hidden), dtype=np.float32))
+        self.c0 = torch.from_numpy(np.ones((num_layers + int(bidirectional), batch, hidden), dtype=np.float32))
+
+    def forward(self, x):
+        a, (b, c) = self.lstm(x, (self.h0, self.c0))
+        if bidirectional:
+            return torch.cat((a, b, c), dim=2)
+        else:
+            return torch.cat((a, b, c), dim=0)
+
+
+input_ = Variable(torch.randn(seq_len, batch, features))
+lstm = LSTM()
+save_data_and_model("lstm_cell_bidirectional", input_, lstm, export_params=True)
+
+bidirectional = False
+input_ = Variable(torch.randn(seq_len, batch, features))
+lstm = LSTM()
+save_data_and_model("lstm_cell_forward", input_, lstm, export_params=True)
+
+
 class MatMul(nn.Module):
     def __init__(self):
         super(MatMul, self).__init__()
diff --git a/testdata/dnn/onnx/models/lstm_cell_bidirectional.onnx b/testdata/dnn/onnx/models/lstm_cell_bidirectional.onnx
new file mode 100644
index 000000000..dd848028f
Binary files /dev/null and b/testdata/dnn/onnx/models/lstm_cell_bidirectional.onnx differ
diff --git a/testdata/dnn/onnx/models/lstm_cell_forward.onnx b/testdata/dnn/onnx/models/lstm_cell_forward.onnx
new file mode 100644
index 000000000..f80bb75f4
Binary files /dev/null and b/testdata/dnn/onnx/models/lstm_cell_forward.onnx differ
diff --git a/testdata/dnn/onnx/models/lstm_cell_with_peepholes.onnx b/testdata/dnn/onnx/models/lstm_cell_with_peepholes.onnx
new file mode 100644
index 000000000..32b019284
Binary files /dev/null and b/testdata/dnn/onnx/models/lstm_cell_with_peepholes.onnx differ