Update V2.py

V2.py

@@ -128,7 +128,7 @@ ds = ds.batch(BATCH_SIZE, drop_remainder=True)
 ds = ds.map(lambda v1, v2: ((v1, v2), tf.zeros([BATCH_SIZE], dtype=tf.float32)), num_parallel_calls=tf.data.AUTOTUNE)
 ds = ds.prefetch(tf.data.AUTOTUNE)
 
-class HyperDynamicConv1D(layers.Layer):
+class HyperConv1D(layers.Layer):
     def __init__(self, d_model, k=7, hyper_dim=128, dropout=0.0):
         super().__init__()
         assert k % 2 == 1