fix textcnn accuracy problem

model_zoo/official/nlp/textcnn/src/dataset.py

@@ -202,7 +202,6 @@ class MovieReview:
         dataset = ds.GeneratorDataset(source=Generator(input_list=self.train),
                                       column_names=["data", "label"], shuffle=False)
         dataset = dataset.batch(batch_size=batch_size, drop_remainder=True)
-        dataset = dataset.repeat(epoch_size)
         return dataset
 
     def create_test_dataset(self, batch_size):

model_zoo/official/nlp/textcnn/src/textcnn.py

@@ -90,7 +90,7 @@ class SoftmaxCrossEntropyExpand(Cell):
 
 def make_conv_layer(kernel_size):
     return nn.Conv2d(in_channels=1, out_channels=96, kernel_size=kernel_size, padding=1,
-                     pad_mode="pad", weight_init='uniform', has_bias=True)
+                     pad_mode="pad", has_bias=True)
 
 
 class TextCNN(nn.Cell):