shrink so size

CMakeLists.txt

 cmake_minimum_required(VERSION 3.0)
 project(paddle-mobile)
-add_definitions(-DPADDLE_MOBILE_DEBUG)
-add_definitions(-DENABLE_EXCEPTION)
+#add_definitions(-DPADDLE_MOBILE_DEBUG)
+#add_definitions(-DENABLE_EXCEPTION)
 
 if(IS_MAC)
     add_definitions(-DX86)
@@ -17,7 +17,6 @@ endif()
 
 
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14")
-set(CMAKE_BUILD_TYPE RelWithDebInfo)
 set(CMAKE_VERBOSE_MAKEFILE ON)
 set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
 set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY build)

src/common/variant.h

@@ -12,9 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
-#include <iostream>
-
 #include "common/log.h"
+#include "common/enforce.h"
 
 #pragma once
 
@@ -57,15 +56,12 @@ class RawData {
   char data[size];
   RawData() {}
   RawData(const RawData &raw_data) { strcpy(data, raw_data.data); }
-  //      void operator=(const RawData &raw_data){
-  //        strcpy(data, raw_data.data);
-  //      }
+
 };
 
 template <typename... Ts>
 struct Variant {
   Variant(const Variant &variant) {
-    //        std::cout << " 赋值构造函数 " << std::endl;
     type_id = variant.type_id;
     data = variant.data;
   }
@@ -87,8 +83,7 @@ struct Variant {
     if (type_id == typeid(T).hash_code()) {
       return *const_cast<T *>(reinterpret_cast<const T *>(&data));
     } else {
-      //      std::cout << " bad cast in variant " << std::endl;
-      throw std::bad_cast();
+      PADDLE_MOBILE_THROW_EXCEPTION(" bad cast in variant ");
     }
   }
 

src/framework/attribute.h

@@ -126,7 +126,8 @@ class Attribute {
     } else if (attr.variant_.TypeId() == typeid(int64_t).hash_code()) {
       return vistor(attr.variant_.Get<int64_t>());
     } else {
-      throw std::bad_exception();
+      PADDLE_MOBILE_THROW_EXCEPTION("type not support");
+
     }
   }
 

src/framework/data_layout.h

@@ -15,7 +15,6 @@ limitations under the License. */
 #pragma once
 
 #include <cctype>
-#include <iostream>
 #include <string>
 
 namespace paddle_mobile {
@@ -40,7 +39,7 @@ inline DataLayout StringToDataLayout(const std::string &str) {
   } else if (s == "ANYLAYOUT") {
     return DataLayout::kAnyLayout;
   } else {
-    //    std::cout << "Unknown storage order string: %s", s;
+    PADDLE_MOBILE_THROW_EXCEPTION("Unknown storage order string: %s", s)
   }
 }
 

src/framework/ddim.cpp

@@ -63,9 +63,6 @@ void make_ddim(DDim &ddim, const int64_t *dims, int n) {
       ddim = make_dim<9>(dims);
       break;
     default:
-      //      std::cout << "Dynamic dimensions must have between [1,
-      //      9]
-      //      dimensions.";
       break;
   }
 }
@@ -133,9 +130,6 @@ int64_t DDim::operator[](int idx) const {
 int DDim::size() const { return arity(*this); }
 
 bool DDim::operator==(DDim d) const {
-  //  if (var.which() != d.getVar().which()) {
-  //    return false;
-  //  } else {
   std::vector<int64_t> v1 = vectorize(*this);
   std::vector<int64_t> v2 = vectorize(d);
 
@@ -157,7 +151,7 @@ DDim DDim::operator+(DDim d) const {
 
   std::vector<int64_t> v3;
 
-  assert(v1.size() == v2.size());
+  PADDLE_MOBILE_ENFORCE(v1.size() == v2.size(),"v1.size() != v2.size()");
 
   for (unsigned int i = 0; i < v1.size(); i++) {
     v3.push_back(v1[i] + v2[i]);
@@ -172,7 +166,7 @@ DDim DDim::operator*(DDim d) const {
 
   std::vector<int64_t> v3;
 
-  assert(v1.size() == v2.size());
+  PADDLE_MOBILE_ENFORCE(v1.size() == v2.size(), "v1.size() == v2.size()");
 
   for (unsigned int i = 0; i < v1.size(); i++) {
     v3.push_back(v1[i] * v2[i]);
@@ -235,13 +229,10 @@ struct SliceVectorizeVisitor : Vistor<void> {
 
   SliceVectorizeVisitor(std::vector<int64_t> &v, int b, int e)
       : vector(v), begin(b), end(e) {
-    //    PADDLE_ENFORCE(begin < end,
-    //                   "Begin index must be less than end index in
-    //                   ddim
-    //                   slice.");
-    //    PADDLE_ENFORCE(begin >= 0,
-    //                   "Begin index can't be less than zero in
-    //                   ddim slice.");
+    PADDLE_MOBILE_ENFORCE(
+        begin < end, "Begin index must be less than end index in ddim slice.");
+    PADDLE_MOBILE_ENFORCE(begin >= 0,
+                          "Begin index can't be less than zero in ddim slice.");
   }
 
   template <int S>
@@ -267,9 +258,7 @@ DDim slice_ddim(const DDim &ddim, int begin, int end) {
   std::vector<int64_t> vec;
   vec.reserve(end - begin);
   SliceVectorizeVisitor visitor(vec, begin, end);
-  //  boost::apply_visitor(visitor, dim);
   DDim::ApplyVistor(visitor, ddim);
-  //  visitor(ddim.var.Get<Dim<4>>());
   return make_ddim(vec);
 }
 
@@ -287,31 +276,40 @@ struct ArityVisitor : Vistor<int> {
 int arity(const DDim &d) {
   ArityVisitor arityVisitor = ArityVisitor();
   return DDim::ApplyVistor(arityVisitor, d);
-  //  return arityVisitor(d.var.Get<Dim<4>>());
-  //  return boost::apply_visitor(ArityVisitor(), d); }
 }
 /// \cond HIDDEN
 
 /// \endcond
 
-struct OSVistor : Vistor<std::ostream &> {
-  OSVistor(std::ostream &os) : os_(os) {}
-
-  template <int D>
-  std::ostream &operator()(Dim<D> dim) const {
-    return os_ << dim;
+//struct OSVistor : Vistor<std::ostream &> {
+//  OSVistor(std::ostream &os) : os_(os) {}
+//
+//  template <int D>
+//  std::ostream &operator()(Dim<D> dim) const {
+//    return os_ << dim;
+//  }
+//
+// private:
+//  std::ostream &os_;
+//};
+
+//std::ostream &operator<<(std::ostream &os, const DDim &ddim) {
+//  auto vistor = OSVistor(os);
+//  DDim::ApplyVistor(vistor, ddim);
+//  return os;
+//}
+
+#ifdef PADDLE_MOBILE_DEBUG
+inline Print &operator<<(Print &printer,  const DDim &ddim) {
+  for (int j = 0; j < ddim.size(); ++j) {
+    printer << ddim[j] << " ";
   }
 
- private:
-  std::ostream &os_;
-};
-
-std::ostream &operator<<(std::ostream &os, const DDim &ddim) {
-  auto vistor = OSVistor(os);
-  DDim::ApplyVistor(vistor, ddim);
-  return os;
+  return printer;
 }
 
+#endif
+
 DDim::DDim(std::initializer_list<int64_t> init_list) {
   *this = make_ddim(init_list);
 }

src/framework/ddim.h

@@ -14,12 +14,11 @@ limitations under the License. */
 
 #pragma once
 
-#include <assert.h>
 #include <initializer_list>
-#include <stdexcept>
 #include <vector>
 #include "common/variant.h"
 #include "dim.h"
+#include "common/enforce.h"
 
 namespace paddle_mobile {
 namespace framework {
@@ -58,9 +57,7 @@ struct DDim {
     } else if (d.var.TypeId() == typeid(Dim<9>).hash_code()) {
       return vistor(d.var.Get<Dim<9>>());
     } else {
-      printf(" dim not support  \n");
-      throw std::bad_exception();
-      //        return typename Vistor::type_t();
+      DLOG <<" dim not support";
     }
   }
 
@@ -140,8 +137,6 @@ DDim slice_ddim(const DDim &dim, int begin, int end);
 
 int arity(const DDim &ddim);
 
-std::ostream &operator<<(std::ostream &, const DDim &);
-
 // Reshape a tensor to a matrix. The matrix's first dimension(column
 // length)
 // will be the product of tensor's first `num_col_dims` dimensions.

src/framework/dim.h

@@ -14,11 +14,7 @@ limitations under the License. */
 
 #pragma once
 
-#include <iostream>
-#include <sstream>
-#include <stdexcept>
-#include <type_traits>
-
+#include "common/enforce.h"
 namespace paddle_mobile {
 namespace framework {
 
@@ -72,13 +68,9 @@ struct Dim<0> {
   Dim() {}
 
   Dim(int idx, const Dim<0> &size) {
-#ifndef __CUDA_ARCH__
     if (idx > 0) {
-      throw std::invalid_argument("Index out of range.");
+      PADDLE_MOBILE_THROW_EXCEPTION("Index out of range.")
     }
-#else
-    PADDLE_ASSERT(idx == 0);
-#endif
   }
 
   bool operator==(const Dim<0> &o) const { return true; }
@@ -124,13 +116,10 @@ struct DimGetter<0> {
 
 template <int D>
 int64_t &indexer(Dim<D> &dim, int idx) {
-#ifndef __CUDA_ARCH__
   if (idx < 0) {
-    throw std::invalid_argument("Tried to access a negative dimension");
+    PADDLE_MOBILE_THROW_EXCEPTION("Tried to access a negative dimension")
   }
-#else
-  PADDLE_ASSERT(idx >= 0);
-#endif
+
   if (idx == 0) {
     return dim.head;
   }
@@ -139,30 +128,17 @@ int64_t &indexer(Dim<D> &dim, int idx) {
 
 template <>
 int64_t &indexer<0>(Dim<0> &dim, int idx) {
-#ifndef __CUDA_ARCH__
-  throw std::invalid_argument("Invalid index");
-#else
-  PADDLE_ASSERT(false);
-#if CUDA_VERSION < 8000
-  // On CUDA versions previous to 8.0, only __shared__ variables
-  // could be declared as static in the device code.
-  int64_t head = 0;
-#else
-  static int64_t head = 0;
-#endif
-  return head;
-#endif
+  PADDLE_MOBILE_THROW_EXCEPTION("Invalid index")
+
 }
 
 template <int D>
 int64_t indexer(const Dim<D> &dim, int idx) {
-#ifndef __CUDA_ARCH__
   if (idx < 0) {
-    throw std::invalid_argument("Tried to access a negative dimension");
+    PADDLE_MOBILE_THROW_EXCEPTION("Tried to access a negative dimension")
+
+
   }
-#else
-  PADDLE_ASSERT(idx >= 0);
-#endif
   if (idx == 0) {
     return dim.head;
   }
@@ -171,19 +147,8 @@ int64_t indexer(const Dim<D> &dim, int idx) {
 
 template <>
 int64_t indexer<0>(const Dim<0> &dim, int idx) {
-#ifndef __CUDA_ARCH__
-  throw std::invalid_argument("Invalid index");
-#else
-  PADDLE_ASSERT(false);
-#if CUDA_VERSION < 8000
-  // On CUDA versions previous to 8.0, only __shared__ variables
-  // could be declared as static in the device code.
-  int64_t head = 0;
-#else
-  static int64_t head = 0;
-#endif
-  return head;
-#endif
+  PADDLE_MOBILE_THROW_EXCEPTION("Invalid index")
+
 }
 
 }  // namespace
@@ -366,10 +331,10 @@ Dim<sizeof...(Args)> make_dim(Args... idxes) {
 
 // Allows us to output a Dim
 // XXX For some reason, overloading fails to resolve this correctly
-template <int i>
-typename std::enable_if<(i > 1), std::ostream &>::type operator<<(
+//template <int i>
+/*typename std::enable_if<(i > 1), std::ostream &>::type operator<<(
     std::ostream &os, const Dim<i> &d) {
-  os << d.head << ", " << d.tail;
+  os << d.head << ", " << d.tail;l
   return os;
 }
 
@@ -384,30 +349,9 @@ typename std::enable_if<(i == 1), std::ostream &>::type operator<<(
 
 inline std::ostream &operator<<(std::ostream &os, const Dim<0> &d) {
   return os;
-}
-
-template <int i>
-std::string Dim<i>::to_string() const {
-  std::stringstream stream;
-
-  stream << *this;
+}*/
 
-  return stream.str();
-}
-
-template <int D>
-Dim<D> linear_to_dimension(int linear_index, Dim<D> extents) {
-  Dim<D> result;
 
-  for (int i = 0; i < D - 1; ++i) {
-    result[i] = linear_index % extents[i];
-    linear_index /= extents[i];
-  }
-
-  result[D - 1] = linear_index;
-
-  return result;
-}
 
 }  // namespace framework
 }  // namespace paddle_mobile

src/framework/lod_tensor.cpp

@@ -13,53 +13,49 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "lod_tensor.h"
-#include <stdint.h>
-#include <string.h>
-#include <algorithm>
-#include <iterator>
 
 namespace paddle_mobile {
 namespace framework {
 
-std::ostream &operator<<(std::ostream &os, const LoD &lod) {
-  os << "{";
-  for (auto &v : lod) {
-    os << "{";
-    bool is_first = true;
-    for (auto &i : v) {
-      if (is_first) {
-        os << i;
-        is_first = false;
-      } else {
-        os << ", " << i;
-      }
-    }
-    os << "}";
-  }
-  os << "}";
-
-  return os;
-}
-
-std::ostream &operator<<(std::ostream &os, const LoDTensor &t) {
-  PADDLE_MOBILE_ENFORCE(t.type().hash_code() == typeid(float).hash_code(),
-                        "t.type() is not float");
-  os << "dim: " << t.dims() << "\n";
-  os << "lod: " << t.lod() << "\n";
-  // only print first ten elements
-  int64_t size = t.numel() < 10 ? t.numel() : 10;
-  for (int64_t i = 0; i < size; ++i) {
-    os << t.data<float>()[i] << " ";
-  }
-
-  return os;
-}
-
-std::string LoDToString(const LoD &lod) {
-  std::ostringstream stream;
-  stream << lod;
-  return stream.str();
-}
+//std::ostream &operator<<(std::ostream &os, const LoD &lod) {
+//  os << "{";
+//  for (auto &v : lod) {
+//    os << "{";
+//    bool is_first = true;
+//    for (auto &i : v) {
+//      if (is_first) {
+//        os << i;
+//        is_first = false;
+//      } else {
+//        os << ", " << i;
+//      }
+//    }
+//    os << "}";
+//  }
+//  os << "}";
+//
+//  return os;
+//}
+//
+//std::ostream &operator<<(std::ostream &os, const LoDTensor &t) {
+//  PADDLE_MOBILE_ENFORCE(t.type().hash_code() == typeid(float).hash_code(),
+//                        "t.type() is not float");
+//  os << "dim: " << t.dims() << "\n";
+//  os << "lod: " << t.lod() << "\n";
+//  // only print first ten elements
+//  int64_t size = t.numel() < 10 ? t.numel() : 10;
+//  for (int64_t i = 0; i < size; ++i) {
+//    os << t.data<float>()[i] << " ";
+//  }
+//
+//  return os;
+//}
+
+//std::string LoDToString(const LoD &lod) {
+//  std::ostringstream stream;
+//  stream << lod;
+//  return stream.str();
+//}
 
 LoD SliceInLevel(const LoD &in, size_t level, size_t elem_begin,
                  size_t elem_end) {
@@ -139,7 +135,7 @@ bool CheckLoD(const LoD &in, int tensor_height) {
           if (a < b) return true;
           return false;
         })) {
-      std::cout << "ascending error";
+      PADDLE_MOBILE_THROW_EXCEPTION("ascending error")
       return false;
     }
   }

src/framework/program/program-optimize/node.cpp

@@ -286,7 +286,7 @@ void Node::Folder(
     }
   }
 }
-
+#ifdef PADDLE_MOBILE_DEBUG
 std::string Node::ToString(std::string blank, const Node *node) const {
   std::stringstream ss;
   ss << type_ << "-> \n";
@@ -317,6 +317,7 @@ Print &operator<<(Print &printer, const Node &node) {
   printer << node.ToString();
   return printer;
 }
+#endif
 
 }  // namespace framework
 }  // namespace paddle_mobile

src/framework/program/program-optimize/node.h

@@ -37,7 +37,11 @@ class Node {
   Node &operator>(std::shared_ptr<Node> node);
   bool operator==(const Node &in);
   bool CanSplit(std::unordered_set<std::string> complex_compute_set);
+
+#ifdef PADDLE_MOBILE_DEBUG
   std::string ToString() const;
+  void Description();
+#endif
   std::shared_ptr<Node> To(int size);
   uint Depth(uint begin = 0);
   Node &Folder(
@@ -48,7 +52,6 @@ class Node {
   std::vector<std::shared_ptr<framework::OpDesc>> OpDescs();
   std::shared_ptr<framework::OpDesc> OpDescOfNode() { return op_desc_; }
   std::string Type() { return type_; }
-  void Description();
 
  private:
   void CanSplit(bool *split, bool spliting, int complex_count,
@@ -65,7 +68,9 @@ class Node {
       std::map<std::string, std::pair<std::string, std::string>> *change,
       Node *begin_node, std::vector<std::shared_ptr<Node>> *removed_nodes);
   std::shared_ptr<framework::OpDesc> op_desc_;
+#ifdef PADDLE_MOBILE_DEBUG
   std::string ToString(std::string blank, const Node *node) const;
+#endif
   std::vector<std::shared_ptr<Node>> outputs_;
   std::vector<Node *> inputs_;
   std::string type_;

src/framework/scope.h

@@ -14,17 +14,17 @@ limitations under the License. */
 
 #pragma once
 
-#include <list>           //std::list
-#include <mutex>          //std::mutex
-#include <unordered_map>  //std::unordered_map
+#include <list>
+#include <mutex>
+#include <unordered_map>
 #include "variable.h"
 
 namespace paddle_mobile {
 namespace framework {
 class Scope {
  public:
-  Scope() {}
-  ~Scope() {}
+  Scope() = default;
+  ~Scope() = default;
 
   Scope &NewScope() const;
 

src/framework/tensor_util.cpp

@@ -13,89 +13,19 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "tensor_util.h"
-#include <algorithm>
-#include <limits>
-#include <vector>
 
 namespace paddle_mobile {
 namespace framework {
 
 void TensorCopy(const Tensor &src, Tensor *dst) {
-  //  VLOG(3) << "TensorCopy " << src.dims() << " from " <<
-  //  src.place() << " to
-  //  "
-  //          << dst_place;
   src.check_memory_size();
-
   dst->Resize(src.dims());
   dst->set_layout(src.layout());
   auto src_ptr = src.data<void>();
-
   auto dst_ptr = dst->mutable_data(src.type());
-
   auto size = src.numel() * SizeOfType(src.type());
-
   memory::Copy(dst_ptr, src_ptr, size);
 }
 
-void TensorCopySync(const Tensor &src, Tensor *dst) {
-  src.check_memory_size();
-  dst->Resize(src.dims());
-  dst->set_layout(src.layout());
-  auto src_ptr = src.data<void>();
-  auto dst_ptr = dst->mutable_data(src.type());
-  auto size = src.numel() * SizeOfType(src.type());
-  memory::Copy(dst_ptr, src_ptr, size);
-}
-
-template <typename Predicate>
-struct AnyDTypeVisitor {
-  Predicate predicate_;
-  const Tensor &tensor_;
-  Tensor *out_;
-
-  AnyDTypeVisitor(Predicate predicate, const Tensor &tensor, Tensor *out)
-      : predicate_(predicate), tensor_(tensor), out_(out) {}
-
-  template <typename T>
-  void operator()() const {
-    //    auto t = EigenVector<T>::Flatten(tensor_);
-    //    auto o = EigenScalar<bool>::From(*out_);
-    // return any of predicate_(t) is true.
-    //    o.device(*ctx_.eigen_device()) = predicate_(t).any();
-  }
-};
-
-struct ContainsNANPredicate {
-  template <typename T>
-  auto operator()(const T &eigen_vec) const
-      -> decltype(std::declval<T>().isnan()) {
-    // Cast eigen_vector to vector of bool. true if is inf.
-    return eigen_vec.isnan();
-  }
-};
-
-struct ContainsInfPredicate {
-  template <typename T>
-  auto operator()(const T &eigen_vec) const
-      -> decltype(std::declval<T>().isinf()) {
-    // Cast eigen_vector to vector of bool. true if is inf.
-    return eigen_vec.isinf();
-  }
-};
-
-struct DeserializedDataFunctor {
-  DeserializedDataFunctor(void **buf, Tensor *tensor)
-      : buf_(buf), tensor_(tensor) {}
-
-  template <typename T>
-  void operator()() {
-    *buf_ = tensor_->mutable_data<T>();
-  }
-
-  void **buf_;
-  Tensor *tensor_;
-};
-
 }  // namespace framework
 }  // namespace paddle_mobile

src/framework/tensor_util.h

@@ -21,44 +21,6 @@ namespace paddle_mobile {
 namespace framework {
 
 void TensorCopy(const Tensor &src, Tensor *dst);
-void TensorCopySync(const Tensor &src, Tensor *dst);
-
-template <typename T>
-void TensorFromVector(const std::vector<T> &src, Tensor *dst);
-
-template <typename T>
-void TesnorToVector(const Tensor &src, std::vector<T> *dst);
-
-bool TensorContainsNAN(const framework::Tensor &tensor);
-bool TensorContainsInf(const framework::Tensor &tensor);
-
-void TensorToStream(std::ostream &os, const Tensor &tensor);
-void TensorFromStream(std::istream &is, Tensor *tensor);
-
-//
-// The implementation of template functions.
-//
-
-template <typename T>
-void TensorFromVector(const std::vector<T> &src, Tensor *dst) {
-  auto src_ptr = static_cast<const void *>(src.data());
-  dst->Resize({static_cast<int64_t>(src.size())});
-  auto dst_ptr = static_cast<void *>(dst->mutable_data<T>());
-  auto size = src.size() * sizeof(T);
-
-  memory::Copy(dst_ptr, src_ptr, size);
-}
-
-template <typename T>
-void TensorToVector(const Tensor &src, std::vector<T> *dst) {
-  auto src_ptr = static_cast<const void *>(src.data<T>());
-  auto size = src.numel() * sizeof(T);
-
-  dst->resize(src.numel());
-  auto dst_ptr = static_cast<void *>(dst->data());
-
-  memory::Copy(dst_ptr, src_ptr, size);
-}
 
 }  // namespace framework
 }  // namespace paddle_mobile

src/framework/variable.h

@@ -14,7 +14,6 @@ limitations under the License. */
 
 #pragma once
 
-#include <iostream>
 #include <memory>
 #include <string>
 #include <typeindex>

src/operators/kernel/arm/batchnorm_kernel.cpp

@@ -49,7 +49,7 @@ void BatchNormKernel<CPU, float>::Compute(const BatchNormParam &param) const {
   Tensor inv_std;
   auto inv_std_ptr = inv_std.mutable_data<float>(make_ddim({C}));
   if (C != variance->numel()) {
-    std::cout << "C must equal to variance.numel()" << std::endl;
+    DLOG << "C must equal to variance.numel()";
   }
   assert(C == variance->numel());
 

test/common/test-size.cpp

+//
+// Created by Wang,Liu(MMS) on 2018/6/6.
+//
+

tools/build.sh

@@ -46,7 +46,7 @@ build_for_android() {
     if [ "${PLATFORM}" = "arm-v7a" ]; then
         ABI="armeabi-v7a with NEON"
         ARM_PLATFORM="V7"
-        CXX_FLAGS="-O3 -std=c++11 -s -march=armv7-a -mfpu=neon -mfloat-abi=softfp -pie -fPIE -w -Wno-error=format-security -llog"
+        CXX_FLAGS="-O3 -std=c++11 -s -march=armv7-a -mfpu=neon -mfloat-abi=softfp -pie -fPIE -w -Wno-error=format-security -fno-exceptions"
     elif [ "${PLATFORM}" = "arm-v8a" ]; then
         ABI="arm64-v8a"
         ARM_PLATFORM="V8"
@@ -62,29 +62,30 @@ build_for_android() {
     TOOLCHAIN_FILE="./tools/android-cmake/android.toolchain.cmake"
     ANDROID_ARM_MODE="arm"
     if [ $# -eq 1 ]; then
-        NET=$1
-        cmake .. \
-            -B"../build/release/${PLATFORM}" \
-            -DANDROID_ABI="${ABI}" \
-            -DCMAKE_BUILD_TYPE="${MODE}" \
-            -DCMAKE_TOOLCHAIN_FILE="${TOOLCHAIN_FILE}" \
-            -DANDROID_PLATFORM="${ANDROID_PLATFORM_VERSION}" \
-            -DCMAKE_CXX_FLAGS="${CXX_FLAGS}" \
-            -DANDROID_STL=c++_static \
-            -DANDROID=true \
-            -D"${NET}"=true \
-            -D"${ARM_PLATFORM}"=true
+    NET=$1
+    cmake .. \
+        -B"../build/release/${PLATFORM}" \
+        -DANDROID_ABI="${ABI}" \
+        -DCMAKE_BUILD_TYPE="${MODE}" \
+        -DCMAKE_TOOLCHAIN_FILE="${TOOLCHAIN_FILE}" \
+        -DANDROID_PLATFORM="${ANDROID_PLATFORM_VERSION}" \
+        -DCMAKE_CXX_FLAGS="${CXX_FLAGS}" \
+        -DANDROID_STL=c++_static \
+        -DANDROID=true \
+        -D"${NET}=true" \
+        -D"${ARM_PLATFORM}"=true
     else
-        cmake .. \
-            -B"../build/release/${PLATFORM}" \
-            -DANDROID_ABI="${ABI}" \
-            -DCMAKE_BUILD_TYPE="${MODE}" \
-            -DCMAKE_TOOLCHAIN_FILE="${TOOLCHAIN_FILE}" \
-            -DANDROID_PLATFORM="${ANDROID_PLATFORM_VERSION}" \
-            -DCMAKE_CXX_FLAGS="${CXX_FLAGS}" \
-            -DANDROID_STL=c++_static \
-            -DANDROID=true \
-            -D"${ARM_PLATFORM}"=true
+
+    cmake .. \
+        -B"../build/release/${PLATFORM}" \
+        -DANDROID_ABI="${ABI}" \
+        -DCMAKE_BUILD_TYPE="${MODE}" \
+        -DCMAKE_TOOLCHAIN_FILE="${TOOLCHAIN_FILE}" \
+        -DANDROID_PLATFORM="${ANDROID_PLATFORM_VERSION}" \
+        -DCMAKE_CXX_FLAGS="${CXX_FLAGS}" \
+        -DANDROID_STL=c++_static \
+        -DANDROID=true \
+        -D"${ARM_PLATFORM}"=true
     fi
     cd "../build/release/${PLATFORM}"
     make -j 8