From 0112c5d640d7e311f99fab553d7da9ee6653865c Mon Sep 17 00:00:00 2001
From: sweetsky0901 <work@yq01-idl-gpu-online20.yq01.baidu.com>
Date: Wed, 22 Nov 2017 15:51:52 +0800
Subject: [PATCH] format code

---
 paddle/operators/math/unpooling.cc |  1 -
 paddle/operators/math/unpooling.cu | 30 +++++++++++++++---------------
 2 files changed, 15 insertions(+), 16 deletions(-)

diff --git a/paddle/operators/math/unpooling.cc b/paddle/operators/math/unpooling.cc
index 1622dcca872..a3a24a68929 100644
--- a/paddle/operators/math/unpooling.cc
+++ b/paddle/operators/math/unpooling.cc
@@ -69,7 +69,6 @@ public:
     const int output_channels = output.dims()[1];
     const int output_height = output.dims()[2];
     const int output_width = output.dims()[3];
-
     int input_feasize = input_height * input_width;
     int output_feasize = output_height * output_width;
     const T* indices_data = indices.data<T>();
diff --git a/paddle/operators/math/unpooling.cu b/paddle/operators/math/unpooling.cu
index bb8489fb95f..358847b315c 100644
--- a/paddle/operators/math/unpooling.cu
+++ b/paddle/operators/math/unpooling.cu
@@ -29,21 +29,21 @@ __global__ void KernelUnpool2dMax(const int nthreads,
                                   T* output_data,
                                   const int output_height,
                                   const int output_width) {
-  int bsize = input_height * input_width * channels;
-  int csize = input_height * input_width;
-  int out_bsize = output_height * output_width * channels;
-  int out_csize = output_height * output_width;
-  int index = blockIdx.x * blockDim.x + threadIdx.x;
-  int offset = blockDim.x * gridDim.x;
-  for (int i = index; i < nthreads; i += offset) {
-    int bidx = i / bsize;
-    int boffset = i % bsize;
-    int cidx = boffset / csize;
-    int out_offset = bidx * out_bsize + cidx * out_csize;
-    int out_index = indices_data[i];
-    PADDLE_ASSERT(out_index < (output_height * output_width));
-    output_data[out_offset + out_index] = input_data[i];
-  }
+    int bsize = input_height * input_width * channels;
+    int csize = input_height * input_width;
+    int out_bsize = output_height * output_width * channels;
+    int out_csize = output_height * output_width;
+    int index = blockIdx.x * blockDim.x + threadIdx.x;
+    int offset = blockDim.x * gridDim.x;
+    for (int i = index; i < nthreads; i += offset) {
+      int bidx = i / bsize;
+      int boffset = i % bsize;
+      int cidx = boffset / csize;
+      int out_offset = bidx * out_bsize + cidx * out_csize;
+      int out_index = indices_data[i];
+      PADDLE_ASSERT(out_index < (output_height * output_width));
+      output_data[out_offset + out_index] = input_data[i];
+    }
 }
 template <typename T>
 __global__ void KernelUnpool2dMaxGrad(const int nthreads,
-- 
GitLab