fix comment

ppocr/data/imaug/label_ops.py

@@ -211,7 +211,7 @@ class AttnLabelEncode(BaseRecLabelEncode):
         text = self.encode(text)
         if text is None:
             return None
-        if len(text) > self.max_text_len:
+        if len(text) >= self.max_text_len:
             return None
         data['length'] = np.array(len(text))
         text = [0] + text + [len(self.character) - 1] + [0] * (self.max_text_len

ppocr/modeling/heads/rec_att_head.py

@@ -194,18 +194,3 @@ class AttentionLSTMCell(nn.Layer):
         cur_hidden = self.rnn(concat_context, prev_hidden)
 
         return cur_hidden, alpha
-
-
-if __name__ == '__main__':
-    paddle.disable_static()
-
-    model = Attention(100, 200, 10)
-
-    x = np.random.uniform(-1, 1, [2, 10, 100]).astype(np.float32)
-    y = np.random.randint(0, 10, [2, 21]).astype(np.int32)
-
-    xp = paddle.to_tensor(x)
-    yp = paddle.to_tensor(y)
-
-    res = model(inputs=xp, targets=yp, is_train=True, batch_max_length=20)
-    print("res: ", res.shape)