Merge branch 'master' into squad-refactor

transformers/modeling_tf_openai.py

@@ -98,7 +98,7 @@ class TFAttention(tf.keras.layers.Layer):
         # q, k, v have shape [batch, heads, sequence, features]
         w = tf.matmul(q, k, transpose_b=True)
         if self.scale:
-            dk = tf.cast(tf.shape(k)[-1], tf.float32) # scale attention_scores
+            dk = tf.cast(shape_list(k)[-1], tf.float32) # scale attention_scores
             w = w / tf.math.sqrt(dk)
 
         # w has shape [batch, heads, dst_sequence, src_sequence], where information flows from src to dst.