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提交 14114fcf 编写于 作者: E eclipsess
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Merge remote-tracking branch 'upstream/develop' into develop

上级 1f680e4c 663d0fd4
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Showing with 877 addition and 478 deletion
CMakeLists.txt
浏览文件 @ 14114fcf
cmake_minimum_required(VERSION 3.0)
project(paddle-mobile)
option(DEBUGING "enable debug mode" OFF)
option(DEBUGING "enable debug mode" ON)
option(USE_OPENMP "openmp support" OFF)
option(USE_EXCEPTION "use std exception" OFF)
option(USE_EXCEPTION "use std exception" ON)
option(LOG_PROFILE "log profile" ON)
# select the platform to build
option(CPU "cpu" ON)
option(MALI_GPU "mali gpu" OFF)
option(FPGA "fpga" OFF)
if (CPU)
add_definitions(-DPADDLE_MOBILE_CPU)
elseif (MALI_GPU)
add_definitions(-DPADDLE_MOBILE_MALI_GPU)
elseif(FPGA)
add_definitions(-DPADDLE_MOBILE_FPGA)
endif()
set(CMAKE_CXX_FLAGS "-std=c++14 -O3 -s ${CMAKE_CXX_FLAGS}")
if (DEBUGING)
set(CMAKE_BUILD_TYPE Debug)
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS}")
else()
set(CMAKE_BUILD_TYPE Release)
endif ()
......@@ -24,12 +39,17 @@ else()
endif()
if (USE_EXCEPTION)
message(STATUS "use exception")
add_definitions(-DENABLE_EXCEPTION)
add_definitions(-fexceptions)
else()
add_definitions(-fno-exceptions)
endif ()
if (LOG_PROFILE)
add_definitions(-DPADDLE_MOBILE_PROFILE)
endif()
if(IS_MAC)
add_definitions(-DX86)
elseif(IS_IOS)
......@@ -42,7 +62,6 @@ else ()
add_definitions(-DX86)
endif()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14")
set(CMAKE_VERBOSE_MAKEFILE ON)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY build)
......@@ -74,6 +93,7 @@ if (googlenet)
add_definitions(-DFUSION_FC_OP)
add_definitions(-DPOOL_OP)
add_definitions(-DRELU_OP)
add_definitions(-DFUSION_CONVADD_OP)
elseif (mobilenet)
add_definitions(-DCONV_OP)
add_definitions(-DELEMENTWISEADD_OP)
......@@ -112,7 +132,7 @@ else ()
add_definitions(-DCONV_OP)
add_definitions(-DDEPTHWISECONV_OP)
add_definitions(-DELEMENTWISEADD_OP)
add_definitions(-DFUSIONCONVADD_OP)
add_definitions(-DFUSION_CONVADD_OP)
add_definitions(-DCONVADDRELU_OP)
add_definitions(-DFUSION_FC_OP)
add_definitions(-DLRN_OP)
......@@ -127,8 +147,13 @@ else ()
add_definitions(-DTRANSPOSE_OP)
endif()
add_library(paddle-mobile SHARED ${PADDLE_MOBILE_CC} ${PADDLE_MOBILE_H})
if (IS_IOS)
add_library(paddle-mobile STATIC ${PADDLE_MOBILE_CC} ${PADDLE_MOBILE_H})
elseif(ANDROID)
add_library(paddle-mobile SHARED ${PADDLE_MOBILE_CC} ${PADDLE_MOBILE_H})
else()
add_library(paddle-mobile SHARED ${PADDLE_MOBILE_CC} ${PADDLE_MOBILE_H})
endif ()
if(DEBUGING)
add_subdirectory(test)
......
src/common/types.h
浏览文件 @ 14114fcf
......@@ -99,6 +99,7 @@ static std::unordered_map<
std::string, std::pair<std::vector<std::string>, std::vector<std::string>>>
op_input_output_key = {
{G_OP_TYPE_CONV, {{"Input"}, {"Output"}}},
{G_OP_TYPE_CONV_ADD, {{"Input"}, {"Out"}}},
{G_OP_TYPE_RELU, {{"X"}, {"Out"}}},
{G_OP_TYPE_SOFTMAX, {{"X"}, {"Out"}}},
{G_OP_TYPE_MUL, {{"X"}, {"Out"}}},
......
src/framework/op_registry.h
浏览文件 @ 14114fcf
......@@ -96,24 +96,39 @@ class OpRegistry {
}
};
#define REGISTER_OPERATOR(op_type, op_class) \
template <typename Dtype, typename T> \
class _OpClass_##op_type##_ : public op_class<Dtype, T> { \
public: \
DEFINE_OP_CONSTRUCTOR(_OpClass_##op_type##_, op_class); \
}; \
static paddle_mobile::framework::OperatorRegistrar< \
paddle_mobile::CPU, _OpClass_##op_type##_<paddle_mobile::CPU, float>> \
__op_registrar_##op_type##__(#op_type); \
int TouchOpRegistrar_##op_type() { \
__op_registrar_##op_type##__.Touch(); \
return 0; \
#define REGISTER_OPERATOR(op_type, op_class, device_name, device_type) \
template <typename Dtype, typename T> \
class _OpClass_##op_type##_##device_name : public op_class<Dtype, T> { \
public: \
DEFINE_OP_CONSTRUCTOR(_OpClass_##op_type##_##device_name, op_class); \
}; \
static paddle_mobile::framework::OperatorRegistrar< \
device_type, _OpClass_##op_type##_##device_name<device_type, float>> \
__op_registrar_##op_type##_##device_name(#op_type); \
int TouchOpRegistrar_##op_type##_##device_name() { \
__op_registrar_##op_type##_##device_name.Touch(); \
return 0; \
}
#define USE_OP(op_type) \
extern int TouchOpRegistrar_##op_type(); \
static int use_op_itself_##op_type##_ __attribute__((unused)) = \
TouchOpRegistrar_##op_type()
#define REGISTER_OPERATOR_CPU(op_type, op_class) \
REGISTER_OPERATOR(op_type, op_class, cpu, paddle_mobile::CPU);
#define REGISTER_OPERATOR_MALI_GPU(op_type, op_class) \
REGISTER_OPERATOR(op_type, op_class, mali_gpu, paddle_mobile::GPU_MALI);
#define REGISTER_OPERATOR_FPGA(op_type, op_class) \
REGISTER_OPERATOR(op_type, op_class, fpga, paddle_mobile::FPGA);
#define USE_OP(op_type, device_name) \
extern int TouchOpRegistrar_##op_type##_##device_name(); \
static int use_op_itself_##op_type##_##device_name __attribute__((unused)) = \
TouchOpRegistrar_##op_type##_##device_name()
#define USE_OP_CPU(op_type) USE_OP(op_type, cpu);
#define USE_OP_MALI_GPU(op_type) USE_OP(op_type, mali_gpu);
#define USE_OP_FPGA(op_type) USE_OP(op_type, fpga);
} // namespace framework
} // namespace paddle_mobile
src/framework/operator.cpp
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......@@ -58,7 +58,12 @@ void OperatorBase<Dtype>::Run() const {
}
template class OperatorBase<CPU>;
template class OperatorBase<FPGA>;
template class OperatorBase<GPU_MALI>;
template class OperatorWithKernel<CPU>;
template class OperatorWithKernel<FPGA>;
template class OperatorWithKernel<GPU_MALI>;
} // namespace framework
} // namespace paddle_mobile
src/framework/operator.h
浏览文件 @ 14114fcf
......@@ -153,6 +153,7 @@ class FusionOpMatcher {
std::string BeginType() { return node_.Type(); }
// virtual bool Fusion();
protected:
Node node_;
std::string type_;
......
src/framework/tensor.h
浏览文件 @ 14114fcf
......@@ -131,7 +131,6 @@ class Tensor {
}
PADDLE_MOBILE_ENFORCE(numel() >= 0, "the Tensor'snumel must >=0.")
int64_t size = numel() * SizeOfType(type);
/* some versions of boost::variant don't have operator!= */
if (holder_ == nullptr || holder_->size() < size + offset_) {
holder_.reset(new PlaceholderImpl(size, type));
offset_ = 0;
......
src/io/io.cpp
浏览文件 @ 14114fcf
......@@ -14,6 +14,10 @@ limitations under the License. */
#include "io.h"
#include <vector>
#ifdef PADDLE_MOBILE_PROFILE
#include <ctime>
#include <map>
#endif
#include "common/enforce.h"
#include "common/log.h"
......@@ -336,10 +340,34 @@ std::shared_ptr<framework::Tensor> Executor<Dtype, P>::Predict(
feed_tensor->ShareDataWith(t);
std::shared_ptr<framework::BlockDesc> to_predict_block =
to_predict_program_->Block(0);
#ifdef PADDLE_MOBILE_PROFILE
std::map<std::string, clock_t> _profile;
#endif
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size(); ++j) {
auto op = ops_of_block_[*to_predict_block.get()][j];
#ifdef PADDLE_MOBILE_PROFILE
_profile[op->Type()] = clock();
#endif
op->Run();
#ifdef PADDLE_MOBILE_PROFILE
_profile[op->Type()] = clock() - _profile[op->Type()];
#endif
}
#ifdef PADDLE_MOBILE_PROFILE
{
DLOG << "========================[ profile ]==========================";
clock_t _ptotal = 0;
for (auto const &p : _profile) {
_ptotal += p.second;
}
for (auto const &p : _profile) {
DLOG << p.first << std::string(16 - p.first.size(), ' ') << "\t"
<< (float)p.second << "\t\t"
<< (float)p.second / (float)_ptotal * 100.0;
}
DLOG << "========================[ ]==========================";
}
#endif
auto ops = ops_of_block_[*to_predict_program_->Block(0)];
auto last_op = ops.rbegin();
auto output_map = (*last_op)->Outputs();
......
src/operators/batchnorm_op.cpp
浏览文件 @ 14114fcf
......@@ -31,7 +31,13 @@ template class BatchNormOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(batch_norm);
REGISTER_OPERATOR(batch_norm, ops::BatchNormOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(batch_norm);
REGISTER_OPERATOR_CPU(batch_norm, ops::BatchNormOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/box_coder_op.cpp
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......@@ -52,7 +52,13 @@ template class BoxCoderOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(box_coder);
REGISTER_OPERATOR(box_coder, ops::BoxCoderOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(box_coder);
REGISTER_OPERATOR_CPU(box_coder, ops::BoxCoderOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/concat_op.cpp
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......@@ -62,7 +62,13 @@ template class ConcatOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(concat);
REGISTER_OPERATOR(concat, ops::ConcatOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(concat);
REGISTER_OPERATOR_CPU(concat, ops::ConcatOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/conv_op.cpp
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......@@ -53,7 +53,17 @@ template class ConvOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(conv2d);
REGISTER_OPERATOR(conv2d, ops::ConvOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(conv2d);
REGISTER_OPERATOR_CPU(conv2d, ops::ConvOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
USE_OP_MALI_GPU(conv2d);
REGISTER_OPERATOR_MALI_GPU(conv2d, ops::ConvOp);
#endif
#ifdef PADDLE_MOBILE_FPGA
USE_OP_FPGA(conv2d);
REGISTER_OPERATOR_FPGA(conv2d, ops::ConvOp);
#endif
#endif
src/operators/depthwise_conv_op.cpp
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......@@ -54,7 +54,13 @@ template class DepthwiseConvOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(depthwise_conv2d);
REGISTER_OPERATOR(depthwise_conv2d, ops::DepthwiseConvOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(depthwise_conv2d);
REGISTER_OPERATOR_CPU(depthwise_conv2d, ops::DepthwiseConvOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/elementwise_add_op.cpp
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......@@ -29,7 +29,13 @@ template class ElementwiseAddOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(elementwise_add);
REGISTER_OPERATOR(elementwise_add, ops::ElementwiseAddOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(elementwise_add);
REGISTER_OPERATOR_CPU(elementwise_add, ops::ElementwiseAddOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/feed_op.h
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......@@ -43,8 +43,14 @@ class FeedOp : public framework::OperatorBase<DeviceType> {
};
namespace ops = paddle_mobile::operators;
USE_OP(feed);
REGISTER_OPERATOR(feed, ops::FeedOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(feed);
REGISTER_OPERATOR_CPU(feed, ops::FeedOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
} // namespace operators
} // namespace paddle_mobile
src/operators/fetch_op.h
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......@@ -43,8 +43,14 @@ class FetchOp : public framework::OperatorBase<DeviceType> {
};
namespace ops = paddle_mobile::operators;
USE_OP(fetch);
REGISTER_OPERATOR(fetch, ops::FetchOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(fetch);
REGISTER_OPERATOR_CPU(fetch, ops::FetchOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
} // namespace operators
} // namespace paddle_mobile
src/operators/fusion_conv_add.cpp
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......@@ -12,20 +12,49 @@ 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. */
#ifdef FUSIONCONVADD_OP
#ifdef FUSION_CONVADD_OP
#include "operators/fusion_conv_add.h"
namespace paddle_mobile {
namespace operators {
template <typename Dtype, typename T>
void FushionConvAddOp<Dtype, T>::InferShape() const {}
void FushionConvAddOp<Dtype, T>::InferShape() const {
auto in_dims = param_.Input()->dims();
auto filter_dims = param_.Filter()->dims();
const std::vector<int> &strides = param_.Strides();
std::vector<int> paddings = param_.Paddings();
int groups = param_.Groups();
std::vector<int> dilations = param_.Dilations();
PADDLE_MOBILE_ENFORCE((in_dims.size() == filter_dims.size() &&
dilations.size() == paddings.size() &&
paddings.size() == strides.size()),
"ConvParam is not suitable");
std::vector<int64_t> output_shape({in_dims[0], filter_dims[0]});
for (size_t i = 0; i < strides.size(); ++i) {
output_shape.push_back(ConvOutputSize(in_dims[i + 2], filter_dims[i + 2],
dilations[i], paddings[i],
strides[i]));
}
framework::DDim ddim = framework::make_ddim(output_shape);
param_.Output()->Resize(ddim);
}
template class FushionConvAddOp<CPU, float>;
} // namespace operators
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(conv_add);
REGISTER_OPERATOR(conv_add, ops::FushionConvAddOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(conv_add);
REGISTER_OPERATOR_CPU(conv_add, ops::FushionConvAddOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/fusion_conv_add.h
浏览文件 @ 14114fcf
......@@ -11,16 +11,17 @@ distributed under the License is distributed on an "AS IS" BASIS,
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. */
#ifdef FUSIONCONVADD_OP
#define FUSION_CONVADD_OP
#ifdef FUSION_CONVADD_OP
#pragma once
#include <string>
#include <vector>
#include "framework/operator.h"
#include "framework/program/program-optimize/fusion_op_register.h"
#include "op_param.h"
#include "operators/kernel/conv_add_kernel.h"
namespace paddle_mobile {
namespace operators {
......@@ -53,18 +54,37 @@ class FushionConvAddOp : public framework::OperatorWithKernel<DeviceType> {
const framework::AttributeMap &attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs, attrs,
scope) {}
scope),
param_(inputs, outputs, attrs, *scope) {}
void RunImpl() const {}
void RunImpl() const {
operators::ConvAddKernel<DeviceType, T> kernel;
kernel.Compute(param_);
this->ClearVariables({"Filter", "Input", "Y"});
}
using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
void InferShape() const override;
protected:
// FushionFcParam param_;
FushionConvAddParam param_;
};
// static framework::FusionOpRegistrar fc_registrar(new FusionConvAddMatcher());
inline int ConvOutputSize(int input_size, int filter_size, int dilation,
int padding, int stride) {
const int dkernel = dilation * (filter_size - 1) + 1;
int output_size = (input_size + 2 * padding - dkernel) / stride + 1;
return output_size;
}
#ifdef PADDLE_MOBILE_CPU
static framework::FusionOpRegistrar convadd_registrar(
new FusionConvAddMatcher());
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
} // namespace operators
} // namespace paddle_mobile
......
src/operators/fusion_conv_add_relu_op.h
浏览文件 @ 14114fcf
......@@ -46,8 +46,14 @@ class ConvAddReluOp {
private:
};
// static framework::FusionOpRegistrar fc_registrar(
// new FushionConvAddReluOpMatcher());
#ifdef PADDLE_MOBILE_CPU
// static framework::FusionOpRegistrar fusion_conv_add_relu_registrar(
// new FushionConvAddReluOpMatcher());
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
} // namespace operators
} // namespace paddle_mobile
......
src/operators/fusion_fc_op.cpp
浏览文件 @ 14114fcf
......@@ -54,7 +54,13 @@ template class FushionFcOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(fc);
REGISTER_OPERATOR(fc, ops::FushionFcOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(fc);
REGISTER_OPERATOR_CPU(fc, ops::FushionFcOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/fusion_fc_op.h
浏览文件 @ 14114fcf
......@@ -37,8 +37,6 @@ class FusionFcMatcher : public framework::FusionOpMatcher {
void FolderNodes(
framework::Node *node,
std::vector<std::shared_ptr<framework::Node>> *removed_nodes) {
vector<std::shared_ptr<framework::OpDesc>> origin_descs =
node->OpDescs(node_.Depth());
node->Folder(node_.Depth(), Type(),
{{G_OP_TYPE_ELEMENTWISE_ADD, {"Y", "Z"}}}, removed_nodes);
}
......@@ -69,7 +67,14 @@ class FushionFcOp : public framework::OperatorWithKernel<DeviceType> {
FushionFcParam param_;
};
// static framework::FusionOpRegistrar fc_registrar(new FusionFcMatcher());
#ifdef PADDLE_MOBILE_CPU
static framework::FusionOpRegistrar fc_registrar(new FusionFcMatcher());
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
static framework::FusionOpRegistrar fc_registrar(new FusionFcMatcher());
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
} // namespace operators
} // namespace paddle_mobile
......
src/operators/kernel/arm/conv_add_kernel.cpp 0 → 100644
浏览文件 @ 14114fcf
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
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. */
#ifdef FUSION_CONVADD_OP
#include "operators/kernel/conv_add_kernel.h"
namespace paddle_mobile {
namespace operators {
void expand_bias(Tensor &bias, int axis, const DDim &dDim) {
auto bias_ptr = bias.data<float>();
const DDim bias_ddim = bias.dims();
PADDLE_MOBILE_ENFORCE(bias.dims().size() == 1,
"the bias tensor's dims size != 1")
DDim outer_ddim = paddle_mobile::framework::slice_ddim(dDim, 0, axis + 1);
DDim inner_ddim =
paddle_mobile::framework::slice_ddim(dDim, axis + 1, dDim.size());
int outer_size = paddle_mobile::framework::product(outer_ddim);
int inner_size = paddle_mobile::framework::product(inner_ddim);
bias.Resize(dDim);
auto new_ptr = bias.mutable_data<float>();
int axis_size = dDim[axis];
for (int i = 0; i < outer_size; ++i) {
float v_bias = bias_ptr[i * axis_size / outer_size];
for (int j = 0; j < inner_size; ++j) {
new_ptr[i * inner_size + j] = v_bias;
}
}
}
template <>
void ConvAddKernel<CPU, float>::Compute(
const FushionConvAddParam &param) const {
DLOG << param;
const Tensor *input = param.Input();
Tensor filter = *param.Filter();
Tensor bias = *param.Bias();
int axis = param.Axis();
Tensor *output = param.Output();
expand_bias(bias, axis, output->dims());
output->ShareDataWith(bias);
int groups = param.Groups();
std::vector<int> strides = param.Strides();
std::vector<int> paddings = param.Paddings();
std::vector<int> dilations = param.Dilations();
const int batch_size = static_cast<int>(input->dims()[0]);
std::vector<int64_t> filter_shape_vec(framework::vectorize(filter.dims()));
std::vector<int64_t> output_shape_vec(framework::vectorize(output->dims()));
size_t data_dim = filter_shape_vec.size() - 2;
std::vector<int64_t> col_shape_vec(1 + 2 * data_dim);
col_shape_vec[0] = input->dims()[1] / groups;
for (size_t j = 0; j < data_dim; ++j) {
col_shape_vec[j + 1] = filter_shape_vec[j + 2];
col_shape_vec[j + 1 + data_dim] = output_shape_vec[j + 2];
}
framework::DDim col_shape(framework::make_ddim(col_shape_vec));
framework::DDim col_matrix_shape =
framework::flatten_to_2d(col_shape, data_dim + 1);
bool is_expand = IsExpand(filter_shape_vec, strides, paddings, dilations);
Tensor col;
Tensor col_matrix;
if (is_expand) {
col.mutable_data<float>(col_shape);
col_matrix.ShareDataWith(col);
col_matrix.Resize(col_matrix_shape);
}
framework::DDim input_shape = framework::slice_ddim(
input->dims(), 1, static_cast<int>(input->dims().size()));
framework::DDim filter_matrix_shape = {filter.dims()[0],
filter.numel() / filter.dims()[0]};
filter.Resize(filter_matrix_shape);
framework::DDim output_matrix_shape = {
output->dims()[1],
output->numel() / (output->dims()[0] * output->dims()[1])};
// convolution operator: im2col(or vol2col) + gemm
int in_step = static_cast<int>(input->dims()[1]) / groups;
int out_step = static_cast<int>(output->dims()[1]) / groups;
math::Vol2ColFunctor<CPU, float> vol2col;
math::Im2ColFunctor<math::ColFormat::kCFO, CPU, float> im2col;
for (int i = 0; i < batch_size; i++) {
Tensor in_batch = input->Slice(i, i + 1).Resize(input_shape);
Tensor out_batch = output->Slice(i, i + 1).Resize(output_matrix_shape);
for (int g = 0; g < groups; g++) {
Tensor in_slice = in_batch.Slice(g * in_step, (g + 1) * in_step);
if (!is_expand) {
col.ShareDataWith(in_slice);
col_matrix.ShareDataWith(col);
col_matrix.Resize(col_matrix_shape);
} else if (data_dim == 2U) {
// im2col
im2col(in_slice, dilations, strides,
std::vector<int>{paddings[0], paddings[1], paddings[0],
paddings[1]},
&col);
} else if (data_dim == 3U) {
// vol2col
vol2col(in_slice, dilations, strides, paddings, &col);
}
// gemm
Tensor out_slice = out_batch.Slice(g * out_step, (g + 1) * out_step);
Tensor filter_slice = filter.Slice(g * out_step, (g + 1) * out_step);
math::matmul<float>(filter_slice, false, col_matrix, false,
static_cast<float>(1), &out_slice,
static_cast<float>(1));
}
}
}
template class ConvAddKernel<CPU, float>;
} // namespace operators
} // namespace paddle_mobile
#endif
src/operators/kernel/arm/relu_kernel.cpp
浏览文件 @ 14114fcf
......@@ -37,13 +37,71 @@ void ReluKernel<CPU, float>::Compute(const ReluParam &param) const {
auto *out = param.Out();
auto *out_ptr = out->mutable_data<float>();
ReluFunctor<float> func_;
math::Transform trans;
trans(input_x_ptr, input_x_ptr + input_x->numel(), out_ptr, func_);
int numel = input_x->numel();
if (numel > 32) {
asm volatile(
"pld [%[input_x_ptr], #0] \n\t"
"vmov.f32 q8, #0.0 \n\t"
"subs %[num], %[num], #32 \n\t"
"blt end_num_%= \n\t"
"loop_num_%=: \n\t"
"pld [%[input_x_ptr], #1024] \n\t"
// for (int i = 0; i < input_x->numel(); i++) {
// out_ptr[i] = input_x_ptr[i] > 0 ? input_x_ptr[i] : 0;
// }
"vld1.32 {q0, q1}, [%[input_x_ptr]]! \n\t"
"vld1.32 {q2, q3}, [%[input_x_ptr]]! \n\t"
"vld1.32 {q4, q5}, [%[input_x_ptr]]! \n\t"
"vld1.32 {q6, q7}, [%[input_x_ptr]]! \n\t"
"vmax.f32 q0, q0, q8 \n\t"
"vmax.f32 q1, q1, q8 \n\t"
"vmax.f32 q2, q2, q8 \n\t"
"vmax.f32 q3, q3, q8 \n\t"
"vmax.f32 q4, q4, q8 \n\t"
"vmax.f32 q5, q5, q8 \n\t"
"vmax.f32 q6, q6, q8 \n\t"
"vmax.f32 q7, q7, q8 \n\t"
"vst1.32 {q0, q1}, [%[out_ptr]]! \n\t"
"vst1.32 {q2, q3}, [%[out_ptr]]! \n\t"
"vst1.32 {q4, q5}, [%[out_ptr]]! \n\t"
"vst1.32 {q6, q7}, [%[out_ptr]]! \n\t"
"subs %[num], %[num], #32 \n\t"
"bge loop_num_%= \n\t"
"end_num_%=: \n\t"
"cmp %[num], #0 \n\t"
"bge end_%= \n\t"
"mov r6, #4 \n\t"
"mul r5, %[num], r6 \n\t"
"add %[input_x_ptr], %[input_x_ptr], r5 \n\t"
"vld1.32 {q0, q1}, [%[input_x_ptr]]! \n\t"
"vld1.32 {q2, q3}, [%[input_x_ptr]]! \n\t"
"vld1.32 {q4, q5}, [%[input_x_ptr]]! \n\t"
"vld1.32 {q6, q7}, [%[input_x_ptr]]! \n\t"
"vmax.f32 q0, q0, q8 \n\t"
"vmax.f32 q1, q1, q8 \n\t"
"vmax.f32 q2, q2, q8 \n\t"
"vmax.f32 q3, q3, q8 \n\t"
"vmax.f32 q4, q4, q8 \n\t"
"vmax.f32 q5, q5, q8 \n\t"
"vmax.f32 q6, q6, q8 \n\t"
"vmax.f32 q7, q7, q8 \n\t"
"add %[out_ptr], %[out_ptr], r5 \n\t"
"vst1.32 {q0, q1}, [%[out_ptr]]! \n\t"
"vst1.32 {q2, q3}, [%[out_ptr]]! \n\t"
"vst1.32 {q4, q5}, [%[out_ptr]]! \n\t"
"vst1.32 {q6, q7}, [%[out_ptr]]! \n\t"
"end_%=: \n\t"
:
:
[out_ptr] "r"(out_ptr), [input_x_ptr] "r"(input_x_ptr), [num] "r"(numel)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "r5",
"r6");
} else {
ReluFunctor<float> func_;
math::Transform trans;
trans(input_x_ptr, input_x_ptr + numel, out_ptr, func_);
}
}
} // namespace operators
} // namespace paddle_mobile
......
src/operators/kernel/conv_add_kernel.h 0 → 100644
浏览文件 @ 14114fcf
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
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. */
#ifdef FUSION_CONVADD_OP
#pragma once
#include <vector>
#include "framework/ddim.h"
#include "framework/operator.h"
#include "operators/math/im2col.h"
#include "operators/math/math_function.h"
#include "operators/math/vol2col.h"
#include "operators/op_param.h"
namespace paddle_mobile {
namespace operators {
using framework::DDim;
using framework::OpKernelBase;
template <typename DeviceType, typename T>
class ConvAddKernel : public OpKernelBase<DeviceType, FushionConvAddParam> {
public:
void Compute(const FushionConvAddParam &param) const;
};
inline bool IsExpand(const std::vector<int64_t> &filter_dim,
const std::vector<int> &strides,
const std::vector<int> &paddings,
const std::vector<int> &dilations) {
bool filter_1 = true, strides_1 = true, padding_0 = true, dilation_1 = true;
for (size_t j = 0; j < strides.size(); ++j) {
filter_1 = filter_1 && (static_cast<int>(filter_dim[j + 2]) == 1);
strides_1 = strides_1 && (strides[j] == 1);
padding_0 = padding_0 && (paddings[j] == 0);
dilation_1 = dilation_1 && (dilations[j] == 1);
}
return !(filter_1 && strides_1 && padding_0 && dilation_1);
}
} // namespace operators
} // namespace paddle_mobile
#endif
src/operators/kernel/fpga/conv_kernel.cpp
浏览文件 @ 14114fcf
......@@ -14,15 +14,16 @@ limitations under the License. */
#ifdef CONV_OP
#include "operators/kernel/conv_kernel.h"
namespace paddle_mobile {
namespace operators {
// template<>
// void ConvKernel<FPGA, float>::Compute(const ConvParam &param) const
// {}
//
// template class ConvKernel<FPGA, float>;
}
template <>
void ConvKernel<FPGA, float>::Compute(const ConvParam &param) const {}
template class ConvKernel<FPGA, float>;
} // namespace operators
} // namespace paddle_mobile
#endif
src/operators/lrn_op.cpp
浏览文件 @ 14114fcf
......@@ -29,7 +29,13 @@ template class LrnOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(lrn);
REGISTER_OPERATOR(lrn, ops::LrnOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(lrn);
REGISTER_OPERATOR_CPU(lrn, ops::LrnOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/mul_op.cpp
浏览文件 @ 14114fcf
......@@ -55,7 +55,13 @@ template class MulOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(mul);
REGISTER_OPERATOR(mul, ops::MulOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(mul);
REGISTER_OPERATOR_CPU(mul, ops::MulOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/multiclass_nms_op.cpp
浏览文件 @ 14114fcf
......@@ -39,7 +39,13 @@ template class MultiClassNMSOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(multiclass_nms);
REGISTER_OPERATOR(multiclass_nms, ops::MultiClassNMSOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(multiclass_nms);
REGISTER_OPERATOR_CPU(multiclass_nms, ops::MultiClassNMSOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/op_param.cpp
浏览文件 @ 14114fcf
......@@ -39,5 +39,31 @@ Print &operator<<(Print &printer, const ConvParam &conv_param) {
}
#endif
#ifdef FUSION_CONVADD_OP
Print &operator<<(Print &printer, const FushionConvAddParam &conv_param) {
printer << "parameter of conv_add: "
<< "\n";
printer << " stride: "
<< " (" << conv_param.Strides()[0] << conv_param.Strides()[1] << ") "
<< "\n";
printer << " paddings: "
<< " (" << conv_param.Paddings()[0] << conv_param.Paddings()[1]
<< ") "
<< "\n";
printer << " dilations: "
<< " (" << conv_param.Dilations()[0] << conv_param.Dilations()[1]
<< ") "
<< "\n";
printer << " groups: " << conv_param.Groups() << "\n";
printer << " input dims: " << conv_param.Input()->dims() << "\n";
printer << " filter dims: " << conv_param.Filter()->dims() << "\n";
printer << " bias dims: " << conv_param.Bias()->dims() << "\n";
printer << " output dims: " << conv_param.Output()->dims();
return printer;
}
#endif
} // namespace operators
} // namespace paddle_mobile
src/operators/op_param.h
浏览文件 @ 14114fcf
......@@ -165,6 +165,8 @@ class OpParam {
template <typename T>
static T *GetVarValue(const string &key, const VariableNameMap &var_map,
const Scope &scope) {
PADDLE_MOBILE_ENFORCE(var_map.count(key) > 0,
"%s is not contained in var_map", key.c_str())
auto var_vec = var_map.at(key);
if (!var_vec.empty()) {
auto var = scope.FindVar(var_vec[0]);
......@@ -787,5 +789,54 @@ class FushionFcParam : public OpParam {
};
#endif
#ifdef FUSION_CONVADD_OP
class FushionConvAddParam : public OpParam {
public:
FushionConvAddParam(const VariableNameMap &inputs,
const VariableNameMap &outputs, const AttributeMap &attrs,
const Scope &scope) {
bias_ = InputYFrom<LoDTensor>(inputs, scope);
axis_ = GetAttr<int>("axis", attrs);
filter_ = FilterFrom<LoDTensor>(inputs, scope);
input_ = InputFrom<LoDTensor>(inputs, scope);
output_ = OutFrom<LoDTensor>(outputs, scope);
strides_ = GetAttr<vector<int>>("strides", attrs);
paddings_ = GetAttr<vector<int>>("paddings", attrs);
dilations_ = GetAttr<vector<int>>("dilations", attrs);
groups = GetAttr<int>("groups", attrs);
}
Tensor *Bias() const { return bias_; }
const int &Axis() const { return axis_; }
const Tensor *Input() const { return input_; }
const Tensor *Filter() const { return filter_; }
Tensor *Output() const { return output_; }
const vector<int> &Strides() const { return strides_; }
const vector<int> &Paddings() const { return paddings_; }
const vector<int> &Dilations() const { return dilations_; }
const int &Groups() const { return groups; }
private:
Tensor *bias_;
int axis_;
Tensor *input_;
Tensor *output_;
Tensor *filter_;
vector<int> strides_;
vector<int> paddings_;
vector<int> dilations_;
int groups;
};
Print &operator<<(Print &printer, const FushionConvAddParam &conv_param);
#endif
} // namespace operators
} // namespace paddle_mobile
src/operators/pool_op.cpp
浏览文件 @ 14114fcf
......@@ -59,7 +59,13 @@ template class PoolOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(pool2d);
REGISTER_OPERATOR(pool2d, ops::PoolOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(pool2d);
REGISTER_OPERATOR_CPU(pool2d, ops::PoolOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/prior_box_op.cpp
浏览文件 @ 14114fcf
......@@ -49,7 +49,13 @@ template class PriorBoxOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(prior_box);
REGISTER_OPERATOR(prior_box, ops::PriorBoxOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(prior_box);
REGISTER_OPERATOR_CPU(prior_box, ops::PriorBoxOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/relu_op.cpp
浏览文件 @ 14114fcf
......@@ -33,7 +33,13 @@ template class ReluOp<CPU, float>;
* 都是需要和model中类型对应起来的
* */
namespace ops = paddle_mobile::operators;
USE_OP(relu);
REGISTER_OPERATOR(relu, ops::ReluOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(relu);
REGISTER_OPERATOR_CPU(relu, ops::ReluOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/reshape_op.cpp
浏览文件 @ 14114fcf
......@@ -32,7 +32,13 @@ template class ReshapeOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(reshape);
REGISTER_OPERATOR(reshape, ops::ReshapeOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(reshape);
REGISTER_OPERATOR_CPU(reshape, ops::ReshapeOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/sigmoid_op.cpp
浏览文件 @ 14114fcf
......@@ -27,7 +27,13 @@ template class SigmoidOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(sigmoid);
REGISTER_OPERATOR(sigmoid, ops::SigmoidOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(sigmoid);
REGISTER_OPERATOR_CPU(sigmoid, ops::SigmoidOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/softmax_op.cpp
浏览文件 @ 14114fcf
......@@ -27,7 +27,13 @@ template class SoftmaxOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(softmax);
REGISTER_OPERATOR(softmax, ops::SoftmaxOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(softmax);
REGISTER_OPERATOR_CPU(softmax, ops::SoftmaxOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
src/operators/transpose_op.cpp
浏览文件 @ 14114fcf
......@@ -52,7 +52,13 @@ template class TransposeOp<CPU, float>;
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
USE_OP(transpose);
REGISTER_OPERATOR(transpose, ops::TransposeOp);
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(transpose);
REGISTER_OPERATOR_CPU(transpose, ops::TransposeOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif
test/net/test_googlenet.cpp
浏览文件 @ 14114fcf
......@@ -20,9 +20,9 @@ int main() {
paddle_mobile::Loader<paddle_mobile::CPU> loader;
bool optimize = false;
auto time1 = time();
// auto program = loader.Load(g_googlenet, optimize);
auto program = loader.Load(g_googlenet_combine + "/model",
g_googlenet_combine + "/params", optimize);
auto program = loader.Load(g_googlenet, optimize);
// auto program = loader.Load(g_googlenet_combine + "/model",
// g_googlenet_combine + "/params", optimize);
auto time2 = time();
DLOG << "load cost :" << time_diff(time1, time2) << "ms\n";
paddle_mobile::Executor<paddle_mobile::CPU> executor(program, 1, optimize);
......
tools/build.sh
浏览文件 @ 14114fcf
......@@ -15,7 +15,6 @@ build_for_mac() {
fi
PLATFORM="x86"
MODE="Release"
CXX_FLAGS="-std=c++11 -O3 -s"
BUILD_DIR=../build/release/"${PLATFORM}"
mkdir -p ${BUILD_DIR}/build
......@@ -25,7 +24,6 @@ build_for_mac() {
cmake .. \
-B"${BUILD_DIR}" \
-DCMAKE_BUILD_TYPE="${MODE}" \
-DCMAKE_CXX_FLAGS="${CXX_FLAGS}" \
-DIS_MAC=true
cd ${BUILD_DIR}
......@@ -46,11 +44,11 @@ build_for_android() {
if [ "${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"
CXX_FLAGS="-march=armv7-a -mfpu=neon -mfloat-abi=softfp -pie -fPIE -w -Wno-error=format-security"
elif [ "${PLATFORM}" = "arm-v8a" ]; then
ABI="arm64-v8a"
ARM_PLATFORM="V8"
CXX_FLAGS="-O3 -std=c++11 -s -march=armv8-a -pie -fPIE -w -Wno-error=format-security -llog"
CXX_FLAGS="-march=armv8-a -pie -fPIE -w -Wno-error=format-security -llog"
else
echo "unknown platform!"
exit -1
......@@ -98,7 +96,7 @@ build_for_ios() {
BUILD_DIR=../build/release/"${PLATFORM}"
TOOLCHAIN_FILE="./tools/ios-cmake/ios.toolchain.cmake"
C_FLAGS="-fobjc-abi-version=2 -fobjc-arc -isysroot ${CMAKE_OSX_SYSROOT}"
CXX_FLAGS="-fobjc-abi-version=2 -fobjc-arc -std=gnu++11 -stdlib=libc++ -isysroot ${CMAKE_OSX_SYSROOT}"
CXX_FLAGS="-fobjc-abi-version=2 -fobjc-arc -std=gnu++14 -stdlib=libc++ -isysroot ${CMAKE_OSX_SYSROOT}"
mkdir -p "${BUILD_DIR}"
if [ $# -eq 1 ]; then
NET=$1
......
tools/ios-cmake/ios.toolchain.cmake
浏览文件 @ 14114fcf
# This file is part of the ios-cmake project. It was retrieved from
# https://github.com/cristeab/ios-cmake.git, which is a fork of
# https://code.google.com/p/ios-cmake/. Which in turn is based off of
# the Platform/Darwin.cmake and Platform/UnixPaths.cmake files which
# are included with CMake 2.8.4
#
# The ios-cmake project is licensed under the new BSD license.
#
# Copyright (c) 2014, Bogdan Cristea and LTE Engineering Software,
# Kitware, Inc., Insight Software Consortium. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#
# This file is based off of the Platform/Darwin.cmake and
# Platform/UnixPaths.cmake files which are included with CMake 2.8.4
# It has been altered for iOS development.
#
# Updated by Alex Stewart (alexs.mac@gmail.com)
#
# *****************************************************************************
# Now maintained by Alexander Widerberg (widerbergaren [at] gmail.com)
# under the BSD-Clause-3 licence
# *****************************************************************************
#
# INFORMATION / HELP
#
# The following variables control the behaviour of this toolchain:
#
# IOS_PLATFORM: OS (default) or SIMULATOR or SIMULATOR64 or TVOS or SIMULATOR_TVOS
# OS = Build for iPhoneOS.
# SIMULATOR = Build for x86 i386 iPhone Simulator.
# SIMULATOR64 = Build for x86_64 iPhone Simulator.
# TVOS = Build for AppleTVOS.
# SIMULATOR_TVOS = Build for x86_64 AppleTV Simulator.
# CMAKE_OSX_SYSROOT: Path to the iOS SDK to use. By default this is
# automatically determined from IOS_PLATFORM and xcodebuild, but
# can also be manually specified (although this should not be required).
# CMAKE_IOS_DEVELOPER_ROOT: Path to the Developer directory for the iOS platform
# being compiled for. By default this is automatically determined from
# CMAKE_OSX_SYSROOT, but can also be manually specified (although this should
# not be required).
# ENABLE_BITCODE: (1|0) Enables or disables bitcode support. Default 1 (true)
# ENABLE_ARC: (1|0) Enables or disables ARC support. Default 1 (true, ARC enabled by default)
# IOS_ARCH: (armv7 armv7s arm64 i386 x86_64) If specified, will override the default architectures for the given IOS_PLATFORM
# OS = armv7 armv7s arm64
# SIMULATOR = i386
# SIMULATOR64 = x86_64
# TVOS = arm64
# SIMULATOR_TVOS = x86_64
# This file is based off of the Platform/Darwin.cmake and Platform/UnixPaths.cmake
# files which are included with CMake 2.8.4
# It has been altered for iOS development
# Options:
#
# This toolchain defines the following variables for use externally:
# IOS_PLATFORM = OS (default) or SIMULATOR or SIMULATOR64
# This decides if SDKS will be selected from the iPhoneOS.platform or iPhoneSimulator.platform folders
# OS - the default, used to build for iPhone and iPad physical devices, which have an arm arch.
# SIMULATOR - used to build for the Simulator platforms, which have an x86 arch.
#
# XCODE_VERSION: Version number (not including Build version) of Xcode detected.
# IOS_SDK_VERSION: Version of iOS SDK being used.
# CMAKE_OSX_ARCHITECTURES: Architectures being compiled for (generated from
# IOS_PLATFORM).
# CMAKE_IOS_DEVELOPER_ROOT = automatic(default) or /path/to/platform/Developer folder
# By default this location is automatcially chosen based on the IOS_PLATFORM value above.
# If set manually, it will override the default location and force the user of a particular Developer Platform
#
# This toolchain defines the following macros for use externally:
# CMAKE_IOS_SDK_ROOT = automatic(default) or /path/to/platform/Developer/SDKs/SDK folder
# By default this location is automatcially chosen based on the CMAKE_IOS_DEVELOPER_ROOT value.
# In this case it will always be the most up-to-date SDK found in the CMAKE_IOS_DEVELOPER_ROOT path.
# If set manually, this will force the use of a specific SDK version
# Macros:
#
# set_xcode_property (TARGET XCODE_PROPERTY XCODE_VALUE XCODE_VARIANT)
# A convenience macro for setting xcode specific properties on targets.
# Available variants are: All, Release, RelWithDebInfo, Debug, MinSizeRel
# example: set_xcode_property (myioslib IPHONEOS_DEPLOYMENT_TARGET "3.1" "all").
# set_xcode_property (TARGET XCODE_PROPERTY XCODE_VALUE)
# A convenience macro for setting xcode specific properties on targets
# example: set_xcode_property (myioslib IPHONEOS_DEPLOYMENT_TARGET "3.1")
#
# find_host_package (PROGRAM ARGS)
# A macro used to find executable programs on the host system, not within the
# iOS environment. Thanks to the android-cmake project for providing the
# command.
# Fix for PThread library not in path
set(CMAKE_THREAD_LIBS_INIT "-lpthread")
set(CMAKE_HAVE_THREADS_LIBRARY 1)
set(CMAKE_USE_WIN32_THREADS_INIT 0)
set(CMAKE_USE_PTHREADS_INIT 1)
# Get the Xcode version being used.
execute_process(COMMAND xcodebuild -version
OUTPUT_VARIABLE XCODE_VERSION
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE)
string(REGEX MATCH "Xcode [0-9\\.]+" XCODE_VERSION "${XCODE_VERSION}")
string(REGEX REPLACE "Xcode ([0-9\\.]+)" "\\1" XCODE_VERSION "${XCODE_VERSION}")
message(STATUS "Building with Xcode version: ${XCODE_VERSION}")
# Default to building for iPhoneOS if not specified otherwise, and we cannot
# determine the platform from the CMAKE_OSX_ARCHITECTURES variable. The use
# of CMAKE_OSX_ARCHITECTURES is such that try_compile() projects can correctly
# determine the value of IOS_PLATFORM from the root project, as
# CMAKE_OSX_ARCHITECTURES is propagated to them by CMake.
if (NOT DEFINED IOS_PLATFORM)
if (CMAKE_OSX_ARCHITECTURES)
if (CMAKE_OSX_ARCHITECTURES MATCHES ".*arm.*")
set(IOS_PLATFORM "OS")
elseif (CMAKE_OSX_ARCHITECTURES MATCHES "i386")
set(IOS_PLATFORM "SIMULATOR")
elseif (CMAKE_OSX_ARCHITECTURES MATCHES "x86_64")
set(IOS_PLATFORM "SIMULATOR64")
endif()
endif()
if (NOT IOS_PLATFORM)
set(IOS_PLATFORM "OS")
endif()
endif()
set(IOS_PLATFORM ${IOS_PLATFORM} CACHE STRING
"Type of iOS platform for which to build.")
# Determine the platform name and architectures for use in xcodebuild commands
# from the specified IOS_PLATFORM name.
if (IOS_PLATFORM STREQUAL "OS")
set(XCODE_IOS_PLATFORM iphoneos)
if(NOT IOS_ARCH)
set(IOS_ARCH armv7 armv7s arm64)
endif()
elseif (IOS_PLATFORM STREQUAL "SIMULATOR")
set(XCODE_IOS_PLATFORM iphonesimulator)
if(NOT IOS_ARCH)
set(IOS_ARCH i386)
endif()
elseif(IOS_PLATFORM STREQUAL "SIMULATOR64")
set(XCODE_IOS_PLATFORM iphonesimulator)
if(NOT IOS_ARCH)
set(IOS_ARCH x86_64)
endif()
elseif (IOS_PLATFORM STREQUAL "TVOS")
set(XCODE_IOS_PLATFORM appletvos)
if(NOT IOS_ARCH)
set(IOS_ARCH arm64)
endif()
elseif (IOS_PLATFORM STREQUAL "SIMULATOR_TVOS")
set(XCODE_IOS_PLATFORM appletvsimulator)
if(NOT IOS_ARCH)
set(IOS_ARCH x86_64)
endif()
else()
message(FATAL_ERROR "Invalid IOS_PLATFORM: ${IOS_PLATFORM}")
endif()
message(STATUS "Configuring iOS build for platform: ${IOS_PLATFORM}, "
"architecture(s): ${IOS_ARCH}")
# If user did not specify the SDK root to use, then query xcodebuild for it.
if (NOT CMAKE_OSX_SYSROOT)
execute_process(COMMAND xcodebuild -version -sdk ${XCODE_IOS_PLATFORM} Path
OUTPUT_VARIABLE CMAKE_OSX_SYSROOT
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE)
message(STATUS "Using SDK: ${CMAKE_OSX_SYSROOT} for platform: ${IOS_PLATFORM}")
endif()
if (NOT EXISTS ${CMAKE_OSX_SYSROOT})
message(FATAL_ERROR "Invalid CMAKE_OSX_SYSROOT: ${CMAKE_OSX_SYSROOT} "
"does not exist.")
endif()
# Specify minimum version of deployment target.
if (NOT DEFINED IOS_DEPLOYMENT_TARGET)
# Unless specified, SDK version 8.0 is used by default as minimum target version.
set(IOS_DEPLOYMENT_TARGET "8.0"
CACHE STRING "Minimum iOS version to build for." )
message(STATUS "Using the default min-version since IOS_DEPLOYMENT_TARGET not provided!")
endif()
# Use bitcode or not
if (NOT DEFINED ENABLE_BITCODE)
# Unless specified, enable bitcode support by default
set(ENABLE_BITCODE TRUE CACHE BOOL "Wheter or not to enable bitcode")
message(STATUS "Enabling bitcode support by default. ENABLE_BITCODE not provided!")
endif()
# Use ARC or not
if (NOT DEFINED ENABLE_ARC)
# Unless specified, enable ARC support by default
set(ENABLE_ARC TRUE CACHE BOOL "Wheter or not to enable ARC")
message(STATUS "Enabling ARC support by default. ENABLE_ARC not provided!")
endif()
# Get the SDK version information.
execute_process(COMMAND xcodebuild -sdk ${CMAKE_OSX_SYSROOT} -version SDKVersion
OUTPUT_VARIABLE IOS_SDK_VERSION
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE)
# Find the Developer root for the specific iOS platform being compiled for
# from CMAKE_OSX_SYSROOT. Should be ../../ from SDK specified in
# CMAKE_OSX_SYSROOT. There does not appear to be a direct way to obtain
# this information from xcrun or xcodebuild.
if (NOT CMAKE_IOS_DEVELOPER_ROOT)
get_filename_component(IOS_PLATFORM_SDK_DIR ${CMAKE_OSX_SYSROOT} PATH)
get_filename_component(CMAKE_IOS_DEVELOPER_ROOT ${IOS_PLATFORM_SDK_DIR} PATH)
endif()
if (NOT EXISTS ${CMAKE_IOS_DEVELOPER_ROOT})
message(FATAL_ERROR "Invalid CMAKE_IOS_DEVELOPER_ROOT: "
"${CMAKE_IOS_DEVELOPER_ROOT} does not exist.")
endif()
# Find the C & C++ compilers for the specified SDK.
if (NOT CMAKE_C_COMPILER)
execute_process(COMMAND xcrun -sdk ${CMAKE_OSX_SYSROOT} -find clang
OUTPUT_VARIABLE CMAKE_C_COMPILER
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE)
message(STATUS "Using C compiler: ${CMAKE_C_COMPILER}")
endif()
if (NOT CMAKE_CXX_COMPILER)
execute_process(COMMAND xcrun -sdk ${CMAKE_OSX_SYSROOT} -find clang++
OUTPUT_VARIABLE CMAKE_CXX_COMPILER
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE)
message(STATUS "Using CXX compiler: ${CMAKE_CXX_COMPILER}")
endif()
# Find (Apple's) libtool.
execute_process(COMMAND xcrun -sdk ${CMAKE_OSX_SYSROOT} -find libtool
OUTPUT_VARIABLE IOS_LIBTOOL
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE)
message(STATUS "Using libtool: ${IOS_LIBTOOL}")
# Configure libtool to be used instead of ar + ranlib to build static libraries.
# This is required on Xcode 7+, but should also work on previous versions of
# Xcode.
set(CMAKE_C_CREATE_STATIC_LIBRARY
"${IOS_LIBTOOL} -static -o <TARGET> <LINK_FLAGS> <OBJECTS> ")
set(CMAKE_CXX_CREATE_STATIC_LIBRARY
"${IOS_LIBTOOL} -static -o <TARGET> <LINK_FLAGS> <OBJECTS> ")
# Get the version of Darwin (OS X) of the host.
execute_process(COMMAND uname -r
OUTPUT_VARIABLE CMAKE_HOST_SYSTEM_VERSION
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE)
# Standard settings.
set(CMAKE_SYSTEM_NAME Darwin CACHE INTERNAL "")
set(CMAKE_SYSTEM_VERSION ${IOS_SDK_VERSION} CACHE INTERNAL "")
set(UNIX TRUE CACHE BOOL "")
set(APPLE TRUE CACHE BOOL "")
set(IOS TRUE CACHE BOOL "")
# A macro used to find executable programs on the host system, not within the iOS environment.
# Thanks to the android-cmake project for providing the command
# Standard settings
set (CMAKE_SYSTEM_NAME Darwin)
set (CMAKE_SYSTEM_VERSION 1)
set (UNIX True)
set (APPLE True)
set (IOS True)
# Required as of cmake 2.8.10
set (CMAKE_OSX_DEPLOYMENT_TARGET "" CACHE STRING "Force unset of the deployment target for iOS" FORCE)
# Determine the cmake host system version so we know where to find the iOS SDKs
find_program (CMAKE_UNAME uname /bin /usr/bin /usr/local/bin)
if (CMAKE_UNAME)
exec_program(uname ARGS -r OUTPUT_VARIABLE CMAKE_HOST_SYSTEM_VERSION)
string (REGEX REPLACE "^([0-9]+)\\.([0-9]+).*$" "\\1" DARWIN_MAJOR_VERSION "${CMAKE_HOST_SYSTEM_VERSION}")
endif (CMAKE_UNAME)
# Force the compilers to gcc for iOS
#include (CMakeForceCompiler)
#CMAKE_C_COMPILER (/usr/bin/gcc)
#CMAKE_CXX_COMPILER (/usr/bin/g++)
set(CMAKE_C_COMPILER /usr/bin/gcc)
set(CMAKE_CXX_COMPILER /usr/bin/g++)
set(CMAKE_AR ar CACHE FILEPATH "" FORCE)
set(CMAKE_RANLIB ranlib CACHE FILEPATH "" FORCE)
# Force unset of OS X-specific deployment target (otherwise autopopulated),
# required as of cmake 2.8.10.
set(CMAKE_OSX_DEPLOYMENT_TARGET "" CACHE STRING
"Must be empty for iOS builds." FORCE)
# Set the architectures for which to build.
set(CMAKE_OSX_ARCHITECTURES ${IOS_ARCH} CACHE STRING "Build architecture for iOS")
# Skip the platform compiler checks for cross compiling.
set(CMAKE_CXX_COMPILER_FORCED TRUE)
set(CMAKE_CXX_COMPILER_WORKS TRUE)
set(CMAKE_C_COMPILER_FORCED TRUE)
set(CMAKE_C_COMPILER_WORKS TRUE)
# All iOS/Darwin specific settings - some may be redundant.
set(CMAKE_SHARED_LIBRARY_PREFIX "lib")
set(CMAKE_SHARED_LIBRARY_SUFFIX ".dylib")
set(CMAKE_SHARED_MODULE_PREFIX "lib")
set(CMAKE_SHARED_MODULE_SUFFIX ".so")
set(CMAKE_MODULE_EXISTS 1)
set(CMAKE_DL_LIBS "")
set(CMAKE_C_OSX_COMPATIBILITY_VERSION_FLAG "-compatibility_version ")
set(CMAKE_C_OSX_CURRENT_VERSION_FLAG "-current_version ")
set(CMAKE_CXX_OSX_COMPATIBILITY_VERSION_FLAG "${CMAKE_C_OSX_COMPATIBILITY_VERSION_FLAG}")
set(CMAKE_CXX_OSX_CURRENT_VERSION_FLAG "${CMAKE_C_OSX_CURRENT_VERSION_FLAG}")
message(STATUS "Building for minimum iOS version: ${IOS_DEPLOYMENT_TARGET}"
" (SDK version: ${IOS_SDK_VERSION})")
# Note that only Xcode 7+ supports the newer more specific:
# -m${XCODE_IOS_PLATFORM}-version-min flags, older versions of Xcode use:
# -m(ios/ios-simulator)-version-min instead.
if (IOS_PLATFORM STREQUAL "OS")
if (XCODE_VERSION VERSION_LESS 7.0)
set(XCODE_IOS_PLATFORM_VERSION_FLAGS
"-mios-version-min=${IOS_DEPLOYMENT_TARGET}")
else()
# Xcode 7.0+ uses flags we can build directly from XCODE_IOS_PLATFORM.
set(XCODE_IOS_PLATFORM_VERSION_FLAGS
"-m${XCODE_IOS_PLATFORM}-version-min=${IOS_DEPLOYMENT_TARGET}")
endif()
elseif (IOS_PLATFORM STREQUAL "TVOS")
set(XCODE_IOS_PLATFORM_VERSION_FLAGS
"-mtvos-version-min=${IOS_DEPLOYMENT_TARGET}")
elseif (IOS_PLATFORM STREQUAL "SIMULATOR_TVOS")
set(XCODE_IOS_PLATFORM_VERSION_FLAGS
"-mtvos-simulator-version-min=${IOS_DEPLOYMENT_TARGET}")
else()
# SIMULATOR or SIMULATOR64 both use -mios-simulator-version-min.
set(XCODE_IOS_PLATFORM_VERSION_FLAGS
"-mios-simulator-version-min=${IOS_DEPLOYMENT_TARGET}")
endif()
message(STATUS "Version flags set to: ${XCODE_IOS_PLATFORM_VERSION_FLAGS}")
if (ENABLE_BITCODE)
set(BITCODE "-fembed-bitcode")
message(STATUS "Enabling bitcode support.")
else()
set(BITCODE "")
message(STATUS "Disabling bitcode support.")
endif()
if (ENABLE_ARC)
set(FOBJC_ARC "-fobjc-arc")
message(STATUS "Enabling ARC support.")
else()
set(FOBJC_ARC "-fno-objc-arc")
message(STATUS "Disabling ARC support.")
endif()
set(CMAKE_C_FLAGS
"${XCODE_IOS_PLATFORM_VERSION_FLAGS} ${BITCODE} -fobjc-abi-version=2 ${FOBJC_ARC} ${C_FLAGS}")
# Hidden visibilty is required for C++ on iOS.
set(CMAKE_CXX_FLAGS
"${XCODE_IOS_PLATFORM_VERSION_FLAGS} ${BITCODE} -fvisibility=hidden -fvisibility-inlines-hidden -fobjc-abi-version=2 ${FOBJC_ARC} ${CXX_FLAGS}")
set(CMAKE_CXX_FLAGS_MINSIZEREL "${CMAKE_CXX_FLAGS} -DNDEBUG -Os -fomit-frame-pointer -ffast-math ${BITCODE} ${CXX_FLAGS_MINSIZEREL}")
set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "${CMAKE_CXX_FLAGS} -DNDEBUG -O2 -g -fomit-frame-pointer -ffast-math ${BITCODE} ${CXX_FLAGS_RELWITHDEBINFO}")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS} -DNDEBUG -O3 -fomit-frame-pointer -ffast-math ${BITCODE} ${CXX_FLAGS_RELEASE}")
set(CMAKE_C_LINK_FLAGS "${XCODE_IOS_PLATFORM_VERSION_FLAGS} -Wl,-search_paths_first ${C_LINK_FLAGS}")
set(CMAKE_CXX_LINK_FLAGS "${XCODE_IOS_PLATFORM_VERSION_FLAGS} -Wl,-search_paths_first ${CXX_LINK_FLAGS}")
# In order to ensure that the updated compiler flags are used in try_compile()
# tests, we have to forcibly set them in the CMake cache, not merely set them
# in the local scope.
list(APPEND VARS_TO_FORCE_IN_CACHE
CMAKE_C_FLAGS
CMAKE_CXX_FLAGS
CMAKE_CXX_FLAGS_RELWITHDEBINFO
CMAKE_CXX_FLAGS_MINSIZEREL
CMAKE_CXX_FLAGS_RELEASE
CMAKE_C_LINK_FLAGS
CMAKE_CXX_LINK_FLAGS)
foreach(VAR_TO_FORCE ${VARS_TO_FORCE_IN_CACHE})
set(${VAR_TO_FORCE} "${${VAR_TO_FORCE}}" CACHE STRING "" FORCE)
endforeach()
set(CMAKE_PLATFORM_HAS_INSTALLNAME 1)
set(CMAKE_SHARED_LIBRARY_CREATE_C_FLAGS "-dynamiclib -headerpad_max_install_names")
set(CMAKE_SHARED_MODULE_CREATE_C_FLAGS "-bundle -headerpad_max_install_names")
set(CMAKE_SHARED_MODULE_LOADER_C_FLAG "-Wl,-bundle_loader,")
set(CMAKE_SHARED_MODULE_LOADER_CXX_FLAG "-Wl,-bundle_loader,")
set(CMAKE_FIND_LIBRARY_SUFFIXES ".dylib" ".so" ".a")
# Hack: if a new cmake (which uses CMAKE_INSTALL_NAME_TOOL) runs on an old
# build tree (where install_name_tool was hardcoded) and where
# CMAKE_INSTALL_NAME_TOOL isn't in the cache and still cmake didn't fail in
# CMakeFindBinUtils.cmake (because it isn't rerun) hardcode
# CMAKE_INSTALL_NAME_TOOL here to install_name_tool, so it behaves as it did
# before, Alex.
# Skip the platform compiler checks for cross compiling
set (CMAKE_CXX_COMPILER_WORKS TRUE)
set (CMAKE_C_COMPILER_WORKS TRUE)
# All iOS/Darwin specific settings - some may be redundant
set (CMAKE_SHARED_LIBRARY_PREFIX "lib")
set (CMAKE_SHARED_LIBRARY_SUFFIX ".dylib")
set (CMAKE_SHARED_MODULE_PREFIX "lib")
set (CMAKE_SHARED_MODULE_SUFFIX ".so")
set (CMAKE_MODULE_EXISTS 1)
set (CMAKE_DL_LIBS "")
set (CMAKE_C_OSX_COMPATIBILITY_VERSION_FLAG "-compatibility_version ")
set (CMAKE_C_OSX_CURRENT_VERSION_FLAG "-current_version ")
set (CMAKE_CXX_OSX_COMPATIBILITY_VERSION_FLAG "${CMAKE_C_OSX_COMPATIBILITY_VERSION_FLAG}")
set (CMAKE_CXX_OSX_CURRENT_VERSION_FLAG "${CMAKE_C_OSX_CURRENT_VERSION_FLAG}")
# Hidden visibilty is required for cxx on iOS
set (CMAKE_C_FLAGS_INIT "")
set (CMAKE_CXX_FLAGS_INIT "-fvisibility=hidden -fvisibility-inlines-hidden")
set (CMAKE_C_LINK_FLAGS "-Wl,-search_paths_first ${CMAKE_C_LINK_FLAGS}")
set (CMAKE_CXX_LINK_FLAGS "-Wl,-search_paths_first ${CMAKE_CXX_LINK_FLAGS}")
set (CMAKE_PLATFORM_HAS_INSTALLNAME 1)
set (CMAKE_SHARED_LIBRARY_CREATE_C_FLAGS "-dynamiclib -headerpad_max_install_names")
set (CMAKE_SHARED_MODULE_CREATE_C_FLAGS "-bundle -headerpad_max_install_names")
set (CMAKE_SHARED_MODULE_LOADER_C_FLAG "-Wl,-bundle_loader,")
set (CMAKE_SHARED_MODULE_LOADER_CXX_FLAG "-Wl,-bundle_loader,")
set (CMAKE_FIND_LIBRARY_SUFFIXES ".dylib" ".so" ".a")
# hack: if a new cmake (which uses CMAKE_INSTALL_NAME_TOOL) runs on an old build tree
# (where install_name_tool was hardcoded) and where CMAKE_INSTALL_NAME_TOOL isn't in the cache
# and still cmake didn't fail in CMakeFindBinUtils.cmake (because it isn't rerun)
# hardcode CMAKE_INSTALL_NAME_TOOL here to install_name_tool, so it behaves as it did before, Alex
if (NOT DEFINED CMAKE_INSTALL_NAME_TOOL)
find_program(CMAKE_INSTALL_NAME_TOOL install_name_tool)
endif (NOT DEFINED CMAKE_INSTALL_NAME_TOOL)
# Set the find root to the iOS developer roots and to user defined paths.
set(CMAKE_FIND_ROOT_PATH ${CMAKE_IOS_DEVELOPER_ROOT} ${CMAKE_OSX_SYSROOT}
${CMAKE_PREFIX_PATH} CACHE string "iOS find search path root" FORCE)
# Default to searching for frameworks first.
set(CMAKE_FIND_FRAMEWORK FIRST)
# Set up the default search directories for frameworks.
set(CMAKE_SYSTEM_FRAMEWORK_PATH
${CMAKE_OSX_SYSROOT}/System/Library/Frameworks
${CMAKE_OSX_SYSROOT}/System/Library/PrivateFrameworks
${CMAKE_OSX_SYSROOT}/Developer/Library/Frameworks)
# Only search the specified iOS SDK, not the remainder of the host filesystem.
set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
# This little macro lets you set any XCode specific property.
macro(set_xcode_property TARGET XCODE_PROPERTY XCODE_VALUE XCODE_RELVERSION)
set(XCODE_RELVERSION_I "${XCODE_RELVERSION}")
if (XCODE_RELVERSION_I STREQUAL "All")
set_property(TARGET ${TARGET} PROPERTY
XCODE_ATTRIBUTE_${XCODE_PROPERTY} "${XCODE_VALUE}")
else()
set_property(TARGET ${TARGET} PROPERTY
XCODE_ATTRIBUTE_${XCODE_PROPERTY}[variant=${XCODE_RELVERSION_I}] "${XCODE_VALUE}")
endif()
endmacro(set_xcode_property)
# This macro lets you find executable programs on the host system.
macro(find_host_package)
set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)
set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY NEVER)
set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE NEVER)
set(IOS FALSE)
# Setup iOS platform unless specified manually with IOS_PLATFORM
if (NOT DEFINED IOS_PLATFORM)
set (IOS_PLATFORM "OS")
endif (NOT DEFINED IOS_PLATFORM)
set (IOS_PLATFORM ${IOS_PLATFORM} CACHE STRING "Type of iOS Platform")
# Setup building for arm64 or not
if (NOT DEFINED BUILD_ARM64)
set (BUILD_ARM64 true)
endif (NOT DEFINED BUILD_ARM64)
set (BUILD_ARM64 ${BUILD_ARM64} CACHE STRING "Build arm64 arch or not")
# Check the platform selection and setup for developer root
if (${IOS_PLATFORM} STREQUAL "OS")
set (IOS_PLATFORM_LOCATION "iPhoneOS.platform")
# This causes the installers to properly locate the output libraries
set (CMAKE_XCODE_EFFECTIVE_PLATFORMS "-iphoneos")
elseif (${IOS_PLATFORM} STREQUAL "SIMULATOR")
set (SIMULATOR true)
set (IOS_PLATFORM_LOCATION "iPhoneSimulator.platform")
# This causes the installers to properly locate the output libraries
set (CMAKE_XCODE_EFFECTIVE_PLATFORMS "-iphonesimulator")
elseif (${IOS_PLATFORM} STREQUAL "SIMULATOR64")
set (SIMULATOR true)
set (IOS_PLATFORM_LOCATION "iPhoneSimulator.platform")
# This causes the installers to properly locate the output libraries
set (CMAKE_XCODE_EFFECTIVE_PLATFORMS "-iphonesimulator")
else (${IOS_PLATFORM} STREQUAL "OS")
message (FATAL_ERROR "Unsupported IOS_PLATFORM value selected. Please choose OS or SIMULATOR")
endif (${IOS_PLATFORM} STREQUAL "OS")
# Setup iOS developer location unless specified manually with CMAKE_IOS_DEVELOPER_ROOT
# Note Xcode 4.3 changed the installation location, choose the most recent one available
exec_program(/usr/bin/xcode-select ARGS -print-path OUTPUT_VARIABLE CMAKE_XCODE_DEVELOPER_DIR)
set (XCODE_POST_43_ROOT "${CMAKE_XCODE_DEVELOPER_DIR}/Platforms/${IOS_PLATFORM_LOCATION}/Developer")
set (XCODE_PRE_43_ROOT "/Developer/Platforms/${IOS_PLATFORM_LOCATION}/Developer")
if (NOT DEFINED CMAKE_IOS_DEVELOPER_ROOT)
if (EXISTS ${XCODE_POST_43_ROOT})
set (CMAKE_IOS_DEVELOPER_ROOT ${XCODE_POST_43_ROOT})
elseif(EXISTS ${XCODE_PRE_43_ROOT})
set (CMAKE_IOS_DEVELOPER_ROOT ${XCODE_PRE_43_ROOT})
endif (EXISTS ${XCODE_POST_43_ROOT})
endif (NOT DEFINED CMAKE_IOS_DEVELOPER_ROOT)
set (CMAKE_IOS_DEVELOPER_ROOT ${CMAKE_IOS_DEVELOPER_ROOT} CACHE PATH "Location of iOS Platform")
# Find and use the most recent iOS sdk unless specified manually with CMAKE_IOS_SDK_ROOT
if (NOT DEFINED CMAKE_IOS_SDK_ROOT)
file (GLOB _CMAKE_IOS_SDKS "${CMAKE_IOS_DEVELOPER_ROOT}/SDKs/*")
if (_CMAKE_IOS_SDKS)
list (SORT _CMAKE_IOS_SDKS)
list (REVERSE _CMAKE_IOS_SDKS)
list (GET _CMAKE_IOS_SDKS 0 CMAKE_IOS_SDK_ROOT)
else (_CMAKE_IOS_SDKS)
message (FATAL_ERROR "No iOS SDK's found in default search path ${CMAKE_IOS_DEVELOPER_ROOT}. Manually set CMAKE_IOS_SDK_ROOT or install the iOS SDK.")
endif (_CMAKE_IOS_SDKS)
message (STATUS "Toolchain using default iOS SDK: ${CMAKE_IOS_SDK_ROOT}")
endif (NOT DEFINED CMAKE_IOS_SDK_ROOT)
set (CMAKE_IOS_SDK_ROOT ${CMAKE_IOS_SDK_ROOT} CACHE PATH "Location of the selected iOS SDK")
# Set the sysroot default to the most recent SDK
set (CMAKE_OSX_SYSROOT ${CMAKE_IOS_SDK_ROOT} CACHE PATH "Sysroot used for iOS support")
# set the architecture for iOS
if (${IOS_PLATFORM} STREQUAL "OS")
set (IOS_ARCH armv7 armv7s arm64)
elseif (${IOS_PLATFORM} STREQUAL "SIMULATOR")
set (IOS_ARCH i386)
elseif (${IOS_PLATFORM} STREQUAL "SIMULATOR64")
set (IOS_ARCH x86_64)
endif (${IOS_PLATFORM} STREQUAL "OS")
set (CMAKE_OSX_ARCHITECTURES ${IOS_ARCH} CACHE string "Build architecture for iOS")
# Set the find root to the iOS developer roots and to user defined paths
set (CMAKE_FIND_ROOT_PATH ${CMAKE_IOS_DEVELOPER_ROOT} ${CMAKE_IOS_SDK_ROOT} ${CMAKE_PREFIX_PATH} CACHE string "iOS find search path root")
# default to searching for frameworks first
set (CMAKE_FIND_FRAMEWORK FIRST)
# set up the default search directories for frameworks
set (CMAKE_SYSTEM_FRAMEWORK_PATH
${CMAKE_IOS_SDK_ROOT}/System/Library/Frameworks
${CMAKE_IOS_SDK_ROOT}/System/Library/PrivateFrameworks
${CMAKE_IOS_SDK_ROOT}/Developer/Library/Frameworks
)
# only search the iOS sdks, not the remainder of the host filesystem
set (CMAKE_FIND_ROOT_PATH_MODE_PROGRAM ONLY)
set (CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set (CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
# This little macro lets you set any XCode specific property
macro (set_xcode_property TARGET XCODE_PROPERTY XCODE_VALUE)
set_property (TARGET ${TARGET} PROPERTY XCODE_ATTRIBUTE_${XCODE_PROPERTY} ${XCODE_VALUE})
endmacro (set_xcode_property)
# This macro lets you find executable programs on the host system
macro (find_host_package)
set (CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)
set (CMAKE_FIND_ROOT_PATH_MODE_LIBRARY NEVER)
set (CMAKE_FIND_ROOT_PATH_MODE_INCLUDE NEVER)
set (IOS FALSE)
find_package(${ARGN})
set(IOS TRUE)
set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
endmacro(find_host_package)
set (IOS TRUE)
set (CMAKE_FIND_ROOT_PATH_MODE_PROGRAM ONLY)
set (CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set (CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
endmacro (find_host_package)
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