diff --git a/mindspore/lite/src/ops/populate/select_populate.cc b/mindspore/lite/src/ops/populate/select_populate.cc
index c93674a9ae..efee92d035 100644
--- a/mindspore/lite/src/ops/populate/select_populate.cc
+++ b/mindspore/lite/src/ops/populate/select_populate.cc
@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2021 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
diff --git a/mindspore/lite/src/ops/select.cc b/mindspore/lite/src/ops/select.cc
index c5f4bb4dda..1bcb18dd67 100644
--- a/mindspore/lite/src/ops/select.cc
+++ b/mindspore/lite/src/ops/select.cc
@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2021 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -90,9 +90,7 @@ int Select::InferShape(std::vector<Tensor *> inputs_, std::vector<Tensor *> outp
     output->set_shape(input->shape());
     output->set_format(input->format());
     auto data_type = input->data_type();
-    if (data_type != kObjectTypeTensorType) {
-      continue;
-    } else {
+    if (data_type == kObjectTypeTensorType) {
       auto input_tensorlist = reinterpret_cast<TensorList *>(input);
       auto output_tensorlist = reinterpret_cast<TensorList *>(output);
       output_tensorlist->set_element_shape(input_tensorlist->element_shape());
diff --git a/mindspore/lite/src/ops/select.h b/mindspore/lite/src/ops/select.h
index ec19825b1d..02f8ec452d 100644
--- a/mindspore/lite/src/ops/select.h
+++ b/mindspore/lite/src/ops/select.h
@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2021 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
diff --git a/mindspore/lite/src/runtime/kernel/arm/base/select.cc b/mindspore/lite/src/runtime/kernel/arm/base/select.cc
index 8d393954e2..00deeea53c 100644
--- a/mindspore/lite/src/runtime/kernel/arm/base/select.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/base/select.cc
@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2021 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
diff --git a/mindspore/lite/tools/converter/parser/caffe/caffe_reduce_parser.cc b/mindspore/lite/tools/converter/parser/caffe/caffe_reduce_parser.cc
index 17f8fbf304..5e890fc357 100644
--- a/mindspore/lite/tools/converter/parser/caffe/caffe_reduce_parser.cc
+++ b/mindspore/lite/tools/converter/parser/caffe/caffe_reduce_parser.cc
@@ -22,18 +22,41 @@ namespace mindspore {
 namespace lite {
 PrimitiveC *CaffeReduceParser::ParseLitePrimitive(const caffe::LayerParameter &proto,
                                                   const caffe::LayerParameter &weight) {
-  std::unique_ptr<schema::PReLUT> attr = std::make_unique<schema::PReLUT>();
+  auto attr = std::make_unique<schema::ReduceT>();
   if (attr == nullptr) {
     MS_LOG(ERROR) << "new op failed";
     return nullptr;
   }
 
-  const caffe::PReLUParameter &pReluParam = proto.prelu_param();
-  if (pReluParam.has_channel_shared()) {
-    attr->channelShared = pReluParam.channel_shared();
+  attr->keepDims = false;
+
+  const caffe::ReductionParameter &reduce_param = proto.reduction_param();
+  if (reduce_param.has_operation()) {
+    if (reduce_param.operation() == caffe::ReductionParameter_ReductionOp_MEAN) {
+      attr->mode = schema::ReduceMode_ReduceMean;
+    } else if (reduce_param.operation() == caffe::ReductionParameter_ReductionOp_SUM) {
+      attr->mode = schema::ReduceMode_ReduceSum;
+    } else if (reduce_param.operation() == caffe::ReductionParameter_ReductionOp_SUMSQ) {
+      attr->mode = schema::ReduceMode_ReduceSumSquare;
+    } else if (reduce_param.operation() == caffe::ReductionParameter_ReductionOp_ASUM) {
+      attr->mode = schema::ReduceMode_ReduceASum;
+    } else {
+      MS_LOG(ERROR) << "nsupported reduce mode: " << reduce_param.operation();
+      return nullptr;
+    }
+  } else {
+    attr->mode = schema::ReduceMode_ReduceSum;
+  }
+
+  std::vector<int32_t> axes;
+  if (reduce_param.has_axis()) {
+    axes.push_back(1);
+    axes.push_back(reduce_param.axis());
   } else {
-    attr->channelShared = false;
+    axes.push_back(1);
+    axes.push_back(0);
   }
+  attr->axes = axes;
 
   auto primitive = std::make_unique<schema::PrimitiveT>();
   primitive->value.type = schema::PrimitiveType_Reduce;