From f9c2a5c38e3800387aaedcc05bf0e49d0f568a65 Mon Sep 17 00:00:00 2001
From: sweetsky0901 <work@yq01-idl-gpu-online20.yq01.baidu.com>
Date: Mon, 27 Nov 2017 15:56:45 +0800
Subject: [PATCH] modify for code review zcd

---
 paddle/operators/unpool_op.cc                  | 4 ++--
 paddle/operators/unpool_op.h                   | 4 ++--
 python/paddle/v2/fluid/tests/test_unpool_op.py | 4 ++--
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/paddle/operators/unpool_op.cc b/paddle/operators/unpool_op.cc
index f00459cd859..addceca1590 100644
--- a/paddle/operators/unpool_op.cc
+++ b/paddle/operators/unpool_op.cc
@@ -46,7 +46,7 @@ class Unpool2dOpMaker : public framework::OpProtoAndCheckerMaker {
         "(vector defalut:{0,0}), "
         "paddings (height, width) of unpooling operator.")
         .SetDefault({0, 0});
-    AddAttr<std::string>("unpoolingtype",
+    AddAttr<std::string>("unpooling_type",
         "(string), unpooling type, can be \"max\" for max-unpooling ")
         .InEnum({"max"});
     AddComment(R"DOC(
@@ -87,7 +87,7 @@ public:
     auto in_x_dims = ctx->GetInputDim("X");
     auto in_y_dims = ctx->GetInputDim("Y");
     std::string unpooling_type =
-      ctx->Attrs().Get<std::string>("unpoolingtype");
+      ctx->Attrs().Get<std::string>("unpooling_type");
     std::vector<int> ksize = ctx->Attrs().Get<std::vector<int>>("ksize");
     std::vector<int> strides = ctx->Attrs().Get<std::vector<int>>("strides");
     std::vector<int> paddings = ctx->Attrs().Get<std::vector<int>>("paddings");
diff --git a/paddle/operators/unpool_op.h b/paddle/operators/unpool_op.h
index c2942211816..f05d22b49fe 100644
--- a/paddle/operators/unpool_op.h
+++ b/paddle/operators/unpool_op.h
@@ -28,7 +28,7 @@ class UnpoolKernel : public framework::OpKernel<T> {
     const framework::Tensor* in_x = context.Input<framework::Tensor>("X");
     const framework::Tensor* in_y = context.Input<framework::Tensor>("Y");
     auto * out = context.Output<framework::Tensor>("Out");
-    std::string unpooling_type = context.Attr<std::string>("unpoolingtype");
+    std::string unpooling_type = context.Attr<std::string>("unpooling_type");
     std::vector<int> ksize = context.Attr<std::vector<int>>("ksize");
     std::vector<int> strides = context.Attr<std::vector<int>>("strides");
     std::vector<int> paddings = context.Attr<std::vector<int>>("paddings");
@@ -53,7 +53,7 @@ class UnpoolGradKernel : public framework::OpKernel<T> {
         context.Input<framework::Tensor>(framework::GradVarName("Out"));
     framework::Tensor* in_x_grad =
       context.Output<framework::Tensor>(framework::GradVarName("X"));
-    std::string unpooling_type = context.Attr<std::string>("unpoolingtype");
+    std::string unpooling_type = context.Attr<std::string>("unpooling_type");
     std::vector<int> ksize = context.Attr<std::vector<int>>("ksize");
     std::vector<int> strides = context.Attr<std::vector<int>>("strides");
     std::vector<int> paddings = context.Attr<std::vector<int>>("paddings");
diff --git a/python/paddle/v2/fluid/tests/test_unpool_op.py b/python/paddle/v2/fluid/tests/test_unpool_op.py
index 3fdee9091fc..22826dc1b35 100644
--- a/python/paddle/v2/fluid/tests/test_unpool_op.py
+++ b/python/paddle/v2/fluid/tests/test_unpool_op.py
@@ -58,7 +58,7 @@ class TestUnpoolOp(OpTest):
                  'strides': self.strides,
                  'paddings': self.paddings,
                  'ksize': self.ksize,
-                 'unpoolingtype': self.unpoolingtype,
+                 'unpooling_type': self.unpooling_type,
                  }
         self.outputs = {'Out': output.astype('float32')}
 
@@ -70,7 +70,7 @@ class TestUnpoolOp(OpTest):
 
     def init_test_case(self):
         self.Unpool2d_forward_naive = unpool2dmax_forward_naive
-        self.unpoolingtype = "max"
+        self.unpooling_type = "max"
         self.shape = [6, 4, 5, 5]
         self.ksize = [3, 3]
         self.strides = [2, 2]
-- 
GitLab