提交 b2e33f33 编写于 作者: Y yangfei

add some function

上级 de4b0ffb
......@@ -7,7 +7,7 @@ option(DEBUGING "enable debug mode" ON)
option(USE_EXCEPTION "use std exception" OFF)
option(LOG_PROFILE "log profile" OFF)
# select the platform to build
option(CPU "armv7 with neon" ON)
option(CPU "armv7 with neon" OFF)
option(GPU_MALI "mali gpu" OFF)
option(GPU_CL "opencl gpu" ON)
option(FPGA "fpga" OFF)
......
......@@ -27,38 +27,62 @@ class CLImage {
CLImage() = default;
void Init(cl_context context, float *tensorInput, DDim ddim) {
tensorDims_ = ddim;
cl_image_format cf = {
.image_channel_order = CL_RGBA,
.image_channel_data_type = CL_HALF_FLOAT
};
// NCHW -> [W * (C+3)/4, H * N]
size_t N = tensorDims_[0];
size_t C = tensorDims_[1];
size_t H = tensorDims_[2];
size_t W = tensorDims_[3];
DLOG<<tensorDims_;
size_t N,C,H,W;
if(tensorDims_.size()==4){
N = tensorDims_[0];
if(N<0){
N = 1;
}
C = tensorDims_[1];
H = tensorDims_[2];
W = tensorDims_[3];
}else if(tensorDims_.size()==1){
N = 1;
C = tensorDims_[0];
H = 1;
W = 1;
}
DLOG<<"-------InitMemory-------";
size_t width = W * ((C + 3) / 4);
size_t height = H * N;
std::unique_ptr<half_t[]> imageData{};
int count = 0;
if (tensorInput != nullptr) {
imageData.reset(new half_t[width * height * 4]);
float *p = tensorInput;
size_t i0 = 0;
for (int n = 0; n < N; n++) {
for (int c = 0; c < C; c++) {
size_t i1 = i0;
for (int h = 0; h < H; h++) {
size_t i2 = i1 << 2 + c % 4;
for (int w = 0; w < W; w++) {
imageData[i2] = float2half(*p);
i2 += 4;
p++;
}
i1 += width;
}
}
i0 += width * H;
}
float *p = tensorInput;
size_t i0 = 0;
for (int n = 0; n < N; n++) {
for (int c = 0; c < C; c++) {
size_t i1 = i0;
for (int h = 0; h < H; h++) {
size_t i2 = (i1<<2) + c % 4;
for (int w = 0; w < W; w++) {
if (i2 >= width * height * 4) {
printf("%d > %d ----> %d, %d, %d, %d --- %d, %d, %d\n", i2, width*height*4, n, c, h, w, i0, i1, i2);
}
assert(i2 < width * height * 4);
imageData[i2] = float2half(*p);
i2 += 4;
p++;
// count++;
// DLOG<<count;
}
i1 += width;
}
}
i0 += width * H;
}
}
DLOG<<"-------InitMemory-------";
cl_int err;
cl_image_ = clCreateImage2D(
context, // cl_context context
......
......@@ -801,6 +801,106 @@ void Executor<Dtype, P>::Predict_To(int end) {
#endif
#ifdef PADDLE_MOBILE_CL
template <>
void Executor<GPU_CL, Precision::FP32>::LoadMemory(const framework::VarDesc var_desc,
float *tensorInput, char **data) {
// 1. version
uint32_t version = *reinterpret_cast<uint32_t *>(*data);
(*data) += sizeof(uint32_t);
// 2 Lod information
uint64_t *lod_level_ptr = new uint64_t();
memcpy(lod_level_ptr, (*data), sizeof(uint64_t));
uint64_t lod_level = *lod_level_ptr;
delete lod_level_ptr;
(*data) += sizeof(uint64_t);
for (uint64_t i = 0; i < lod_level; ++i) {
uint64_t size = *reinterpret_cast<uint64_t *>(*data);
(*data) += sizeof(uint64_t);
std::vector<size_t> tmp(size / sizeof(size_t));
for (int k = 0; k < tmp.size(); ++k) {
tmp[k] = *reinterpret_cast<size_t *>(*data);
(*data) += sizeof(size_t);
}
}
// 3. tensor version
uint32_t tensor_version = *reinterpret_cast<uint32_t *>(*data);
(*data) += sizeof(uint32_t);
// 4. tensor desc
int32_t size = *reinterpret_cast<int32_t *>(*data);
(*data) += sizeof(int32_t);
std::unique_ptr<char[]> buf(new char[size]);
for (int m = 0; m < size; ++m) {
buf.get()[m] = (*data)[m];
}
(*data) += (sizeof(char) * size);
const framework::TensorDesc &desc = var_desc.Tensor_desc();
int memory_size = 1;
for (auto l : desc.Dims()) {
memory_size *= l;
}
void *memory = nullptr;
// int type_size = 0;
// switch (desc.DataType()) {
// case framework::VARTYPE_TYPE_FP16:
// type_size = 2;
// break;
// case framework::VARTYPE_TYPE_FP32:
// type_size = 4;
// memory = tensor->mutable_data<float>();
// break;
// case framework::VARTYPE_TYPE_FP64:
// type_size = 8;
// break;
// case framework::VARTYPE_TYPE_INT32:
// memory = tensor->mutable_data<int32_t>();
// type_size = 4;
// break;
// case framework::VARTYPE_TYPE_INT64:
// type_size = 8;
// break;
// case framework::VARTYPE_TYPE_BOOL:
// type_size = 1;
// break;
// default:
// break;
// }
int type_size = 4;
memory = tensorInput;
if (program_.quantification) {
float min_value;
float max_value;
memcpy(&min_value, *data, sizeof(float));
memcpy(&max_value, *data + sizeof(float), sizeof(float));
*data += 2 * sizeof(float);
const float factor = (max_value - min_value) / 255.0;
uint8_t *uint8_data = reinterpret_cast<uint8_t *>(*data);
for (int k = 0; k < memory_size; ++k) {
static_cast<float *>(memory)[k] = uint8_data[k] * factor + min_value;
}
*data += (memory_size * sizeof(uint8_t));
} else {
for (int n = 0; n < memory_size; n++) {
float value;
memcpy(&value, *data + n * type_size, type_size);
if (value < 1e-30 && value > -1e-30) {
static_cast<float *>(memory)[n] = 0.0;
} else {
static_cast<float *>(memory)[n] = value;
}
}
(*data) += (sizeof(char) * memory_size * type_size);
}
}
template <>
void Executor<GPU_CL, Precision::FP32>::InitMemory() {
......@@ -812,26 +912,38 @@ void Executor<GPU_CL, Precision::FP32>::InitMemory() {
if (var_desc->Name() == "feed" || var_desc->Name() == "fetch") {
continue;
}
char *origin_data =
Get_binary_data(program_.model_path + "/" + var_desc->Name());
char *data = origin_data;
cl_context context = program_.scope->GetCLScpoe()->Context();
float *tensorInput = (float *)origin_data;
const framework::TensorDesc &desc = var_desc->Tensor_desc();
framework::DDim ddim = cl_image->dims();
const framework::TensorDesc &desc = var_desc->Tensor_desc();
int numel = 1;
for (auto l : desc.Dims()) {
numel *= l;
}
DLOG<<var_desc->Name();
float *tensorInput = static_cast<float *>(
paddle_mobile::memory::Alloc(sizeof(float) * numel));
LoadMemory(*var_desc,tensorInput,&data);
framework::DDim ddim = framework::make_ddim(desc.Dims());
cl_image->Init(context, tensorInput, ddim);
delete origin_data;
delete origin_data;
paddle_mobile::memory::Free(tensorInput);
}else{
auto cl_image = var->template GetMutable<framework::CLImage>();
cl_context context = program_.scope->GetCLScpoe()->Context();
if (var_desc->Type() == framework::VARTYPE_TYPE_LOD_TENSOR) {
auto cl_image = var->template GetMutable<framework::CLImage>();
cl_context context = program_.scope->GetCLScpoe()->Context();
const framework::TensorDesc &desc = var_desc->Tensor_desc();
framework::DDim ddim = cl_image->dims();
const framework::TensorDesc &desc = var_desc->Tensor_desc();
framework::DDim ddim = framework::make_ddim(desc.Dims());
DLOG<<var_desc->Name();
cl_image->Init(context, ddim);
cl_image->Init(context, ddim);
}
}
}
......@@ -863,21 +975,23 @@ void Executor<GPU_CL, Precision::FP32>::InitCombineMemory() {
cl_context context = program_.scope->GetCLScpoe()->Context();
const framework::TensorDesc &desc = var_desc->Tensor_desc();
framework::DDim ddim = cl_image->dims();
framework::DDim ddim = framework::make_ddim(desc.Dims());
int numel = 1;
for (int i = 0; i < ddim.size(); i++) {
numel = numel * ddim[i];
}
float *tensorInput = data;
float *tensorInput = static_cast<float *>(
paddle_mobile::memory::Alloc(sizeof(float) * numel));
LoadMemory(*var_desc,tensorInput,&origin_data);
cl_image->Init(context, tensorInput, ddim);
data += numel;
paddle_mobile::memory::Free(tensorInput);
}else{
auto cl_image = var->template GetMutable<framework::CLImage>();
cl_context context = program_.scope->GetCLScpoe()->Context();
const framework::TensorDesc &desc = var_desc->Tensor_desc();
framework::DDim ddim = cl_image->dims();
framework::DDim ddim = framework::make_ddim(desc.Dims());
cl_image->Init(context, ddim);
}
......
......@@ -73,6 +73,8 @@ class Executor {
void LoadMemory(const framework::VarDesc var_desc,
framework::LoDTensor *tensor, char **data);
void LoadMemory(const framework::VarDesc var_desc,
float * tensorInput, char **data);
void InitCombineMemory();
......
......@@ -16,6 +16,9 @@ limitations under the License. */
#include "framework/lod_tensor.h"
#include "framework/program/program-optimize/program_optimize.h"
#ifdef PADDLE_MOBILE_CL
#include "framework/cl/cl_image.h"
#endif
namespace paddle_mobile {
namespace framework {
......@@ -26,7 +29,8 @@ namespace framework {
* @param originProgramDesc
* @param scope
*/
void InitMemoryFromProgram(
template<typename Dtype, Precision P>
void Loader<Dtype, P>::InitMemoryFromProgram(
std::shared_ptr<ProgramDesc> &originProgramDesc,
std::shared_ptr<Scope> &scope) {
for (const auto &block : originProgramDesc.get()->Blocks()) {
......@@ -51,6 +55,35 @@ void InitMemoryFromProgram(
}
}
#ifdef PADDLE_MOBILE_CL
template<>
void Loader<GPU_CL, Precision::FP32>::InitMemoryFromProgram(
std::shared_ptr<ProgramDesc> &originProgramDesc,
std::shared_ptr<Scope> &scope) {
for (const auto &block : originProgramDesc.get()->Blocks()) {
for (const auto &var_desc : block->Vars()) {
auto var = scope.get()->Var(var_desc->Name());
if (var_desc->Type() == VARTYPE_TYPE_LOD_TENSOR) {
if (var_desc->Persistable()) {
auto dim = var_desc->Tensor_desc().Dims();
// auto tensor = var->GetMutable<LoDTensor>();
auto cl_image = var->GetMutable<framework::CLImage>();
cl_image->Resize(make_ddim(dim));
} else {
auto dim = var_desc->Tensor_desc().Dims();
PADDLE_MOBILE_ENFORCE(dim.size() > 0, "dim size is 0");
dim[0] = 1;
auto cl_image = var->GetMutable<framework::CLImage>();
cl_image->Resize(make_ddim(dim));
}
} else {
// TODO(codeWorm): some.
}
}
}
}
#endif
/**
* fusion and print someinfos
* @tparam Dtype
......
......@@ -53,6 +53,9 @@ class Loader {
bool optimize = false,
bool quantification = false,
bool can_add_split = false);
void InitMemoryFromProgram(std::shared_ptr<ProgramDesc> &originProgramDesc,
std::shared_ptr<Scope> &scope);
};
}
......
......@@ -40,4 +40,8 @@ REGISTER_OPERATOR_MALI_GPU(batch_norm, ops::BatchNormOp);
#ifdef PADDLE_MOBILE_FPGA
#endif
#ifdef PADDLE_MOBILE_CL
REGISTER_OPERATOR_CL(batch_norm, ops::BatchNormOp);
#endif
#endif
......@@ -54,5 +54,8 @@ USE_OP_MALI_GPU(batch_norm);
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#ifdef PADDLE_MOBILE_CL
USE_OP_CL(batch_norm);
#endif
#endif
......@@ -77,7 +77,6 @@ class FeedOp : public framework::OperatorBase<DeviceType> {
void Init() {}
void RunImpl() {
}
#else
void Init() {}
......
......@@ -43,3 +43,6 @@ REGISTER_OPERATOR_MALI_GPU(fetch, ops::FetchOp);
#ifdef PADDLE_MOBILE_FPGA
REGISTER_OPERATOR_FPGA(fetch, ops::FetchOp);
#endif
#ifdef PADDLE_MOBILE_CL
REGISTER_OPERATOR_CL(fetch, ops::FetchOp);
#endif
......@@ -54,3 +54,6 @@ USE_OP_MALI_GPU(fetch);
#ifdef PADDLE_MOBILE_FPGA
USE_OP_FPGA(fetch);
#endif
#ifdef PADDLE_MOBILE_CL
USE_OP_CL(fetch);
#endif
......@@ -15,22 +15,21 @@ limitations under the License. */
#ifdef CONV_OP
#include "operators/kernel/conv_kernel.h"
#include "operators/kernel/central-arm-func/conv_arm_func.h"
namespace paddle_mobile {
namespace operators {
template <>
bool ConvKernel<GPU_CL, float>::Init(ConvParam<GPU_CL> *param) {
this->cl_helper_.AddKernel("conv_3x3", "conv_kernel.cl");
// this->cl_helper_.AddKernel("conv_3x3", "conv_kernel.cl");
return true;
}
template <>
void ConvKernel<GPU_CL, float>::Compute(const ConvParam<GPU_CL> &param) {
auto kernel = this->cl_helper_.KernelAt(0);
size_t global_work_size[3] = {1, 2, 3};
clEnqueueNDRangeKernel(this->cl_helper_.CLCommandQueue(), kernel, 3, NULL, global_work_size, NULL, 0, NULL, NULL);
// auto kernel = this->cl_helper_.KernelAt(0);
// size_t global_work_size[3] = {1, 2, 3};
// clEnqueueNDRangeKernel(this->cl_helper_.CLCommandQueue(), kernel, 3, NULL, global_work_size, NULL, 0, NULL, NULL);
}
template class ConvKernel<GPU_CL, float>;
......
......@@ -21,7 +21,7 @@ namespace paddle_mobile {
template <>
bool ElementwiseAddKernel<GPU_CL, float>::Init(ElementwiseAddParam<GPU_CL> *param) {
this->cl_helper_.AddKernel("elementwise_add", "elementwise_add_kernel.cl");
// this->cl_helper_.AddKernel("elementwise_add", "elementwise_add_kernel.cl");
return true;
}
......
......@@ -12,22 +12,25 @@ 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 SOFTMAX_OP
#include "operators/kernel/pool_kernel.h"
#include "operators/kernel/softmax_kernel.h"
namespace paddle_mobile {
namespace operators {
namespace operators {
template <>
bool SoftmaxKernel<GPU_CL, float>::Init(SoftmaxParam<GPU_CL> *param) {
return true;
}
template <>
bool SoftmaxKernel<GPU_CL, float>::Init(SoftmaxParam<GPU_CL> *param) {
return true;
}
template <>
void SoftmaxKernel<GPU_CL, float>::Compute(const SoftmaxParam<GPU_CL> &param) {}
template <>
void SoftmaxKernel<GPU_CL, float>::Compute(const SoftmaxParam<GPU_CL> &param) {}
template class SoftmaxKernel<GPU_CL, float>;
template class SoftmaxKernel<GPU_CL, float>;
} // namespace operators
} // namespace operators
} // namespace paddle_mobile
#endif
......@@ -68,5 +68,8 @@ REGISTER_OPERATOR_MALI_GPU(pool2d, ops::PoolOp);
#ifdef PADDLE_MOBILE_FPGA
REGISTER_OPERATOR_FPGA(pool2d, ops::PoolOp);
#endif
#ifdef PADDLE_MOBILE_CL
REGISTER_OPERATOR_CL(pool2d, ops::PoolOp);
#endif
#endif
......@@ -54,5 +54,8 @@ USE_OP_MALI_GPU(pool2d);
#ifdef PADDLE_MOBILE_FPGA
USE_OP_FPGA(pool2d);
#endif
#ifdef PADDLE_MOBILE_CL
USE_OP_CL(pool2d);
#endif
#endif
......@@ -41,5 +41,8 @@ REGISTER_OPERATOR_MALI_GPU(relu, ops::ReluOp);
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#ifdef PADDLE_MOBILE_CL
REGISTER_OPERATOR_CL(relu, ops::ReluOp);
#endif
#endif
......@@ -57,5 +57,8 @@ USE_OP_MALI_GPU(relu);
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#ifdef PADDLE_MOBILE_CL
USE_OP_CL(relu);
#endif
#endif
......@@ -40,5 +40,8 @@ REGISTER_OPERATOR_MALI_GPU(reshape, ops::ReshapeOp);
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#ifdef PADDLE_MOBILE_CL
REGISTER_OPERATOR_CL(reshape, ops::ReshapeOp);
#endif
#endif
......@@ -56,5 +56,8 @@ USE_OP_MALI_GPU(reshape);
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#ifdef PADDLE_MOBILE_CL
USE_OP_CL(reshape);
#endif
#endif
......@@ -36,5 +36,8 @@ REGISTER_OPERATOR_MALI_GPU(softmax, ops::SoftmaxOp);
#ifdef PADDLE_MOBILE_FPGA
REGISTER_OPERATOR_FPGA(softmax, ops::SoftmaxOp);
#endif
#ifdef PADDLE_MOBILE_CL
REGISTER_OPERATOR_CL(softmax, ops::SoftmaxOp);
#endif
#endif
......@@ -52,5 +52,8 @@ USE_OP_MALI_GPU(softmax);
#ifdef PADDLE_MOBILE_FPGA
USE_OP_FPGA(softmax);
#endif
#ifdef PADDLE_MOBILE_CL
USE_OP_CL(softmax);
#endif
#endif
......@@ -83,175 +83,175 @@ elseif("genet" IN_LIST NET)
target_link_libraries(test-genet paddle-mobile)
else ()
# gen test
ADD_EXECUTABLE(test-resnet net/test_resnet.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-resnet paddle-mobile)
# gen test
ADD_EXECUTABLE(test-squeezenet net/test_squeezenet.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-squeezenet paddle-mobile)
# gen test
ADD_EXECUTABLE(test-yolo net/test_yolo.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-yolo paddle-mobile)
# gen test
ADD_EXECUTABLE(test-googlenet net/test_googlenet.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-googlenet paddle-mobile)
# gen test
ADD_EXECUTABLE(test-conv-op operators/test_cov_op.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-conv-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-mul-op operators/test_mul_op.cpp test_helper.h test_include.h)
target_link_libraries(test-mul-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-elementwiseadd-op operators/test_elementwise_add_op.cpp test_helper.h test_include.h)
target_link_libraries(test-elementwiseadd-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-concat-op operators/test_concat_op.cpp test_helper.h test_include.h)
target_link_libraries(test-concat-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-lrn-op operators/test_lrn_op.cpp test_helper.h test_include.h)
target_link_libraries(test-lrn-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-batchnorm-op operators/test_batchnorm_op.cpp test_helper.h test_include.h)
target_link_libraries(test-batchnorm-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-priorbox-op operators/test_prior_box_op.cpp test_helper.h test_include.h)
target_link_libraries(test-priorbox-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-boxcoder-op operators/test_box_coder_op.cpp test_helper.h test_include.h)
target_link_libraries(test-boxcoder-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-transpose-op operators/test_transpose_op.cpp test_helper.h test_include.h)
target_link_libraries(test-transpose-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-multiclassnms-op operators/test_multiclass_nms_op.cpp test_helper.h test_include.h)
target_link_libraries(test-multiclassnms-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-reshape-op operators/test_reshape_op.cpp test_helper.h test_include.h)
target_link_libraries(test-reshape-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-relu-op operators/test_relu_op.cpp test_helper.h test_include.h)
target_link_libraries(test-relu-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-fc-op operators/test_fusion_fc_op.cpp test_helper.h test_include.h)
target_link_libraries(test-fc-op paddle-mobile)
# gen test log
ADD_EXECUTABLE(test-log common/test_log.cpp)
target_link_libraries(test-log paddle-mobile)
# gen test log
ADD_EXECUTABLE(test-load framework/test_load.cpp)
target_link_libraries(test-load paddle-mobile)
# gen test log
ADD_EXECUTABLE(test-loadmemory framework/test_load_memory.cpp)
target_link_libraries(test-loadmemory paddle-mobile)
ADD_EXECUTABLE(test-inference-api framework/test_inference_api.cpp)
target_link_libraries(test-inference-api paddle-mobile)
# gen test log
# gen test
ADD_EXECUTABLE(test-optimize framework/test_optimize.cpp)
target_link_libraries(test-optimize paddle-mobile)
#gen test
ADD_EXECUTABLE(test-pool operators/test_pool_op.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-pool paddle-mobile)
#gen test
ADD_EXECUTABLE(test-softmax operators/test_softmax_op.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-softmax paddle-mobile)
# gen test
ADD_EXECUTABLE(test-gemm-accuracy common/test_gemm_accuracy.cpp)
target_link_libraries(test-gemm-accuracy paddle-mobile)
# gen test
ADD_EXECUTABLE(test-gemm-perf common/test_gemm_perf.cpp)
target_link_libraries(test-gemm-perf paddle-mobile)
# gen test
ADD_EXECUTABLE(test-enforce common/test_enforce.cpp)
target_link_libraries(test-enforce paddle-mobile)
# gen test - test if openmp works
ADD_EXECUTABLE(test-openmp common/test_openmp.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-openmp paddle-mobile)
# gen test
ADD_EXECUTABLE(test-mobilenetssd net/test_mobilenet+ssd.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-mobilenetssd paddle-mobile)
# gen test
ADD_EXECUTABLE(test-mobilenet-combine net/test_mobilenet_combine.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-mobilenet-combine paddle-mobile)
# gen test
ADD_EXECUTABLE(test-genet net/test_genet_combine.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-genet paddle-mobile)
# gen test
ADD_EXECUTABLE(test-sigmoid operators/test_sigmoid_op.cpp test_include.h)
target_link_libraries(test-sigmoid paddle-mobile)
# gen test
ADD_EXECUTABLE(test-depthwise-conv-op operators/test_depthwise_conv_op.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-depthwise-conv-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-mobilenet net/test_mobilenet.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-mobilenet paddle-mobile)
# gen test
ADD_EXECUTABLE(test-conv-add-relu-op operators/test_conv_add_relu_op.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-conv-add-relu-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-conv-add-bn-relu-op operators/test_fusion_conv_add_bn_relu_op.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-conv-add-bn-relu-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-nlp net/test_nlp.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-nlp paddle-mobile)
# gen test
ADD_EXECUTABLE(test-gru-op operators/test_gru_op.cpp test_helper.h test_include.h)
target_link_libraries(test-gru-op paddle-mobile)
# gen test
ADD_EXECUTABLE(test-inceptionv4 net/test_inceptionv4.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-inceptionv4 paddle-mobile)
# gen test
ADD_EXECUTABLE(test-alexnet net/test_alexnet.cpp test_helper.h test_include.h executor_for_test.h)
target_link_libraries(test-alexnet paddle-mobile)
ADD_EXECUTABLE(test-googlenetv1 net/test_googlenetv1_combine.cpp test_helper.h test_include.h)
target_link_libraries(test-googlenetv1 paddle-mobile)
# gen test
ADD_EXECUTABLE(test-fssd net/test_mobilenet_025_fssd.cpp test_helper.h test_include.h)
target_link_libraries(test-fssd paddle-mobile)
# # gen test
# ADD_EXECUTABLE(test-resnet net/test_resnet.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-resnet paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-squeezenet net/test_squeezenet.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-squeezenet paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-yolo net/test_yolo.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-yolo paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-googlenet net/test_googlenet.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-googlenet paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-conv-op operators/test_cov_op.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-conv-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-mul-op operators/test_mul_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-mul-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-elementwiseadd-op operators/test_elementwise_add_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-elementwiseadd-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-concat-op operators/test_concat_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-concat-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-lrn-op operators/test_lrn_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-lrn-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-batchnorm-op operators/test_batchnorm_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-batchnorm-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-priorbox-op operators/test_prior_box_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-priorbox-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-boxcoder-op operators/test_box_coder_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-boxcoder-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-transpose-op operators/test_transpose_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-transpose-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-multiclassnms-op operators/test_multiclass_nms_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-multiclassnms-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-reshape-op operators/test_reshape_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-reshape-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-relu-op operators/test_relu_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-relu-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-fc-op operators/test_fusion_fc_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-fc-op paddle-mobile)
#
# # gen test log
# ADD_EXECUTABLE(test-log common/test_log.cpp)
# target_link_libraries(test-log paddle-mobile)
#
# # gen test log
# ADD_EXECUTABLE(test-load framework/test_load.cpp)
# target_link_libraries(test-load paddle-mobile)
#
# # gen test log
# ADD_EXECUTABLE(test-loadmemory framework/test_load_memory.cpp)
# target_link_libraries(test-loadmemory paddle-mobile)
#
# ADD_EXECUTABLE(test-inference-api framework/test_inference_api.cpp)
# target_link_libraries(test-inference-api paddle-mobile)
#
#
# # gen test log
# # gen test
# ADD_EXECUTABLE(test-optimize framework/test_optimize.cpp)
# target_link_libraries(test-optimize paddle-mobile)
#
#
# #gen test
# ADD_EXECUTABLE(test-pool operators/test_pool_op.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-pool paddle-mobile)
#
# #gen test
# ADD_EXECUTABLE(test-softmax operators/test_softmax_op.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-softmax paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-gemm-accuracy common/test_gemm_accuracy.cpp)
# target_link_libraries(test-gemm-accuracy paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-gemm-perf common/test_gemm_perf.cpp)
# target_link_libraries(test-gemm-perf paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-enforce common/test_enforce.cpp)
# target_link_libraries(test-enforce paddle-mobile)
#
# # gen test - test if openmp works
# ADD_EXECUTABLE(test-openmp common/test_openmp.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-openmp paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-mobilenetssd net/test_mobilenet+ssd.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-mobilenetssd paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-mobilenet-combine net/test_mobilenet_combine.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-mobilenet-combine paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-genet net/test_genet_combine.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-genet paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-sigmoid operators/test_sigmoid_op.cpp test_include.h)
# target_link_libraries(test-sigmoid paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-depthwise-conv-op operators/test_depthwise_conv_op.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-depthwise-conv-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-mobilenet net/test_mobilenet.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-mobilenet paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-conv-add-relu-op operators/test_conv_add_relu_op.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-conv-add-relu-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-conv-add-bn-relu-op operators/test_fusion_conv_add_bn_relu_op.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-conv-add-bn-relu-op paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-nlp net/test_nlp.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-nlp paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-gru-op operators/test_gru_op.cpp test_helper.h test_include.h)
# target_link_libraries(test-gru-op paddle-mobile)
#
# # gen test
#
# ADD_EXECUTABLE(test-inceptionv4 net/test_inceptionv4.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-inceptionv4 paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-alexnet net/test_alexnet.cpp test_helper.h test_include.h executor_for_test.h)
# target_link_libraries(test-alexnet paddle-mobile)
#
# ADD_EXECUTABLE(test-googlenetv1 net/test_googlenetv1_combine.cpp test_helper.h test_include.h)
# target_link_libraries(test-googlenetv1 paddle-mobile)
#
# # gen test
# ADD_EXECUTABLE(test-fssd net/test_mobilenet_025_fssd.cpp test_helper.h test_include.h)
# target_link_libraries(test-fssd paddle-mobile)
# gen test
ADD_EXECUTABLE(test-mobilenetgpu net/test_mobilenet_GPU.cpp test_helper.h test_include.h)
......
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