fix(encoder): fix vald in numeric encoder

tests/test_vlad.py

@@ -0,0 +1,26 @@
+import os
+import unittest
+import numpy as np
+from gnes.encoder.numeric.vlad import VladEncoder
+
+
+class TestVladEncoder(unittest.TestCase):
+    def setUp(self):
+        self.mock_train_data = np.random.random([200, 128])
+        self.mock_eval_data = np.random.random([2, 2, 128])
+        self.dump_path = os.path.join(os.path.dirname(__file__), 'vlad.bin')
+
+    def tearDown(self):
+        if os.path.exists(self.dump_path):
+            os.remove(self.dump_path)
+
+    def test_vlad_train(self):
+        model = VladEncoder(20)
+        model.train(self.mock_train_data)
+        self.assertEqual(model.centroids.shape, (20, 128))
+        model.dump(self.dump_path)
+
+    def test_vlad_encode(self):
+        model = VladEncoder.load(self.dump_path)
+        v = model.encode(self.mock_eval_data)
+        self.assertEqual(v.shape, (2, 2560))