!14910 Removing redundant code from minddata

From: @ezphlow
Reviewed-by: @pandoublefeng,@robingrosman
Signed-off-by: @pandoublefeng

mindspore/dataset/engine/datasets.py

@@ -1300,8 +1300,6 @@ class Dataset:
             file_type (str, optional): Dataset format (default='mindrecord').
 
         """
-        # todo(CRC) warning("Used shuffle, repeat, batch before save operator.")
-
         ir_tree, api_tree = self.create_ir_tree()
 
         runtime_context = cde.PythonRuntimeContext()

mindspore/lite/minddata/example/testlenet.cpp

@@ -53,7 +53,6 @@ int main(int argc, char **argv) {
   uint64_t i = 0;
   while (row.size() != 0) {
     i++;
-    // auto image = row["image"];
     iter->GetNextRow(&row);
   }
 

model_zoo/official/cv/cnn_direction_model/src/cnn_direction_model.py

@@ -233,9 +233,7 @@ class CNNDirectionModel(nn.Cell):
         # 5 previous layers have mp=2. Height and width of the image would become 1/32.
         self.avg_pool = nn.AvgPool2d(kernel_size=(int(self.image_h / 32), int(self.image_w / 32)))
 
-        # sqrt(6 / (fan_in + fan_out))
         scale = math.sqrt(6 / (out_channels[-1] + dense_layers[0]))
-        # weight_init='glorot_uniform'
         self.dense1 = nn.Dense(out_channels[-1], dense_layers[0], weight_init=Uniform(scale=scale), activation='relu')
 
         scale = math.sqrt(6 / (dense_layers[0] + dense_layers[1]))