diff --git a/TensorFlow2/built-in/nlp/BERT_ID2478_for_TensorFlow2.X/run_squad.py b/TensorFlow2/built-in/nlp/BERT_ID2478_for_TensorFlow2.X/run_squad.py
index 0b631b93e76d9bd5620471f7dffcbdc88f76d034..712a9c90e2f908ec76a36ef5fe3f0f8f788a9ea6 100644
--- a/TensorFlow2/built-in/nlp/BERT_ID2478_for_TensorFlow2.X/run_squad.py
+++ b/TensorFlow2/built-in/nlp/BERT_ID2478_for_TensorFlow2.X/run_squad.py
@@ -46,7 +46,7 @@ from absl import app
 from absl import flags
 from absl import logging
 import tensorflow as tf
-import horovod.tensorflow as hvd
+# import horovod.tensorflow as hvd
 import numpy as np
 from dllogger import Verbosity
 
@@ -406,8 +406,8 @@ def train_squad(strategy,
   num_train_examples = input_meta_data['train_data_size']
   max_seq_length = input_meta_data['max_seq_length']
   global_batch_size = FLAGS.train_batch_size * FLAGS.num_accumulation_steps
-  if FLAGS.use_horovod:
-    global_batch_size *= hvd.size()
+  # if FLAGS.use_horovod:
+  #   global_batch_size *= hvd.size()
   steps_per_epoch = int(num_train_examples / global_batch_size)
   warmup_steps = int(epochs * num_train_examples * 0.1 / global_batch_size)
   train_input_fn = get_dataset_fn(
@@ -428,7 +428,8 @@ def train_squad(strategy,
         max_seq_length,
         float_type=tf.float16 if FLAGS.use_fp16 else tf.float32,
         hub_module_url=FLAGS.hub_module_url)
-    learning_rate = FLAGS.learning_rate * hvd.size() if FLAGS.use_horovod else FLAGS.learning_rate
+    # learning_rate = FLAGS.learning_rate * hvd.size() if FLAGS.use_horovod else FLAGS.learning_rate
+    learning_rate = FLAGS.learning_rate
     squad_model.optimizer = optimization.create_optimizer(
         learning_rate, steps_per_epoch * epochs, warmup_steps, FLAGS.optimizer_type)
     if FLAGS.use_fp16:
@@ -699,11 +700,13 @@ def main(_):
   if FLAGS.use_horovod:
     if strategy:
       raise ValueError('Should not run horovod with distribution strategy')
-
+    
+    '''
     hvd.init()
     if gpus:
       tf.config.experimental.set_visible_devices(gpus[hvd.local_rank()], 'GPU')
       gpu_affinity.set_affinity(hvd.local_rank())
+    '''
 
   if FLAGS.use_fp16:
     policy = tf.keras.mixed_precision.experimental.Policy("mixed_float16")
diff --git a/TensorFlow2/built-in/nlp/bert-squad_ID1566_for_TensorFlow2.X/requirements.txt b/TensorFlow2/built-in/nlp/bert-squad_ID1566_for_TensorFlow2.X/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..655d75c1bd9e6aab753fc3ff8162c3e49a7abb32
--- /dev/null
+++ b/TensorFlow2/built-in/nlp/bert-squad_ID1566_for_TensorFlow2.X/requirements.txt
@@ -0,0 +1 @@
+tensorflow==2.6.2
\ No newline at end of file
diff --git a/TensorFlow2/built-in/recommendation/DeepCTR_Series_for_TensorFlow2.X/README.md b/TensorFlow2/built-in/recommendation/DeepCTR_Series_for_TensorFlow2.X/README.md
index 465f36d2ce3dc692faf22cb0f238920511ba64b0..6d9dac21fb986e1a3d9188f5a229311f448437a0 100644
--- a/TensorFlow2/built-in/recommendation/DeepCTR_Series_for_TensorFlow2.X/README.md
+++ b/TensorFlow2/built-in/recommendation/DeepCTR_Series_for_TensorFlow2.X/README.md
@@ -8,7 +8,7 @@
 
 **发布者（Publisher）：Huawei**
 
-**应用领域（Application Domain）：recommendation**
+**应用领域（Application Domain）：Recommendation**
 
 **版本（Version）：1.1**