Simplify the CMakelist.txt and fix typos.

CMakeLists.txt

@@ -77,15 +77,10 @@ find_package(Git REQUIRED)
 include(version)
 add_definitions(-DPADDLE_VERSION=\"${PADDLE_VERSION}\")
 
-
 if(NOT WITH_GPU)
     add_definitions(-DPADDLE_ONLY_CPU)
     add_definitions(-DHPPL_STUB_FUNC)
 
-    if(WITH_DSO)
-        add_definitions(-DPADDLE_USE_DSO)
-    endif(WITH_DSO)
-
     list(APPEND CMAKE_CXX_SOURCE_FILE_EXTENSIONS cu)
 else()
     if(${CUDA_VERSION_MAJOR} GREATER 6)
@@ -107,15 +102,15 @@ else()
         set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-Xcompiler ${SSE3_FLAG}")
     endif(WITH_AVX)
 
-    if(WITH_DSO)
-        add_definitions(-DPADDLE_USE_DSO)
-    endif(WITH_DSO)
-
     # Include cuda and cudnn
     include_directories(${CUDNN_INCLUDE_DIR})
     include_directories(${CUDA_TOOLKIT_INCLUDE})
 endif(NOT WITH_GPU)
 
+if(WITH_DSO)
+    add_definitions(-DPADDLE_USE_DSO)
+endif(WITH_DSO)
+
 if(WITH_DOUBLE)
     add_definitions(-DPADDLE_TYPE_DOUBLE)
     set(ACCURACY double)

paddle/scripts/travis/build_and_test.sh

@@ -1,5 +1,5 @@
 #!/bin/bash
-./submodules.sh
+./build_submodules.sh
 source ./common.sh
 CMAKE_EXTRA=""
 if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then

paddle/scripts/travis/build_submodules.sh

@@ -1,5 +1,6 @@
 #!/bin/bash
 set -e
+WORK_DIR=$PWD
 PROJ_ROOT=$(git rev-parse --show-cdup)
 SUBMODULES=$(grep path ${PROJ_ROOT}.gitmodules | sed 's/^.*path = //')
 
@@ -16,3 +17,4 @@ do
     ;;
   esac
 done
+cd $WORK_DIR

python/paddle/trainer_config_helpers/layers.py

@@ -1874,7 +1874,7 @@ def img_conv_layer(input,
         param_attr.attr["initial_std"] = init_w
         param_attr.attr["initial_strategy"] = 0
         param_attr.attr["initial_smart"] = False
-    
+
     if layer_type:
         if trans:
             assert layer_type in ["exconvt"]
@@ -4125,11 +4125,11 @@ def warp_ctc_layer(input,
 
     Note:
         - Let num_classes represent the category number. Considering the 'blank'
-          label needed by CTC, you need to use (num_classes + 1) as the input size.
-          Thus, the size of both warp_ctc_layer and 'input' layer should be set to
-          num_classes + 1.
-        - You can set 'blank' to [0, num_classes - 1], which should be consistent
-          as that used in your labels.
+          label needed by CTC, you need to use (num_classes + 1) as the input
+          size. Thus, the size of both warp_ctc_layer and 'input' layer should
+          be set to num_classes + 1.
+        - You can set 'blank' to any value ranged in [0, num_classes], which
+          should be consistent as that used in your labels.
         - As a native 'softmax' activation is interated to the warp-ctc library,
          'linear' activation is expected instead in the 'input' layer.