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提交 751fd049 编写于 作者: 刘 刘琦
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Merge branch 'vlog' into 'master' 

Refactor logging and headers dependencies

See merge request !247
上级 ef68d37c 05340dcb
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Showing with 395 addition and 391 deletion
mace/core/BUILD
浏览文件 @ 751fd049
......@@ -37,26 +37,23 @@ cc_library(
]),
hdrs = glob([
"*.h",
"public/*.h",
"runtime/opencl/cl2.hpp",
"runtime/opencl/*.h",
"runtime/hexagon/*.h",
]),
linkopts = ["-ldl",] + if_android([
linkopts = ["-ldl"] + if_android([
"-pie",
"-lm",
]),
deps = [
":opencl_headers",
"//mace/utils:logging",
"//mace/utils:tuner",
"//mace/utils:utils_hdrs",
"//mace/utils",
"//mace/codegen:generated_version",
] + if_production_mode([
"//mace/utils:tuner_prod",
"//mace/utils:utils_prod",
"//mace/core:opencl_prod",
]) + if_not_production_mode([
"//mace/utils:tuner_dev",
"//mace/utils:utils_dev",
"//mace/core:opencl_dev",
]),
)
......@@ -84,7 +81,7 @@ cc_library(
],
deps = [
":core",
"//mace/utils:utils_hdrs",
"//mace/utils",
],
alwayslink = 1,
)
......@@ -96,8 +93,7 @@ cc_library(
deps = [
":opencl_headers",
"//mace/codegen:generated_opencl_dev",
"//mace/utils:logging",
"//mace/utils:utils_hdrs",
"//mace/utils",
],
)
......@@ -108,6 +104,6 @@ cc_library(
deps = [
":opencl_headers",
"//mace/codegen:generated_opencl_prod",
"//mace/utils:logging",
"//mace/utils",
],
)
mace/core/allocator.h
浏览文件 @ 751fd049
......@@ -7,9 +7,9 @@
#define MACE_CORE_ALLOCATOR_H_
#include <malloc.h>
#include "mace/core/common.h"
#include "mace/core/registry.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/types.h"
namespace mace {
......
mace/core/arg_helper.cc
浏览文件 @ 751fd049
......@@ -3,6 +3,7 @@
//
#include "mace/core/arg_helper.h"
#include "mace/utils/logging.h"
namespace mace {
......@@ -43,7 +44,7 @@ bool SupportsLosslessConversion(const InputType &value) {
T ArgumentHelper::GetSingleArgument<T>(const string &name, \
const T &default_value) const { \
if (arg_map_.count(name) == 0) { \
VLOG(1) << "Using default parameter value " << default_value \
VLOG(3) << "Using default parameter value " << default_value \
<< " for parameter " << name; \
return default_value; \
} \
......@@ -82,12 +83,12 @@ INSTANTIATE_GET_SINGLE_ARGUMENT(string, s, false)
#define INSTANTIATE_GET_REPEATED_ARGUMENT(T, fieldname, \
enforce_lossless_conversion) \
template <> \
vector<T> ArgumentHelper::GetRepeatedArgument<T>( \
std::vector<T> ArgumentHelper::GetRepeatedArgument<T>( \
const string &name, const std::vector<T> &default_value) const { \
if (arg_map_.count(name) == 0) { \
return default_value; \
} \
vector<T> values; \
std::vector<T> values; \
for (const auto &v : arg_map_.at(name).fieldname()) { \
if (enforce_lossless_conversion) { \
auto supportsConversion = \
......
mace/core/arg_helper.h
浏览文件 @ 751fd049
......@@ -7,8 +7,7 @@
#include <map>
#include "mace/core/common.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
namespace mace {
......@@ -42,7 +41,7 @@ class ArgumentHelper {
}
template <typename Def, typename T>
static vector<T> GetRepeatedArgument(
static std::vector<T> GetRepeatedArgument(
const Def &def,
const string &name,
const std::vector<T> &default_value = std::vector<T>()) {
......@@ -58,7 +57,7 @@ class ArgumentHelper {
template <typename T>
bool HasSingleArgumentOfType(const string &name) const;
template <typename T>
vector<T> GetRepeatedArgument(
std::vector<T> GetRepeatedArgument(
const string &name,
const std::vector<T> &default_value = std::vector<T>()) const;
......
mace/core/common.h 已删除 100644 → 0
浏览文件 @ ef68d37c
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#ifndef MACE_CORE_COMMON_H_
#define MACE_CORE_COMMON_H_
#include <algorithm>
#include <map>
#include <memory>
#include <set>
#include <string>
#include <vector>
#include "mace/utils/logging.h"
using std::set;
using std::map;
using std::string;
using std::unique_ptr;
using std::vector;
typedef int64_t index_t;
// Disable the copy and assignment operator for a class.
#ifndef DISABLE_COPY_AND_ASSIGN
#define DISABLE_COPY_AND_ASSIGN(classname) \
private: \
classname(const classname &) = delete; \
classname &operator=(const classname &) = delete
#endif
#define MACE_NOT_IMPLEMENTED MACE_CHECK(false, "not implemented")
#endif // MACE_CORE_COMMON_H_
mace/core/mace.cc
浏览文件 @ 751fd049
......@@ -2,7 +2,7 @@
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/types.h"
#include "mace/core/net.h"
#include "mace/core/runtime/hexagon/hexagon_control_wrapper.h"
......@@ -524,7 +524,7 @@ MaceEngine::MaceEngine(const NetDef *net_def, DeviceType device_type) :
MACE_CHECK(hexagon_controller_->Config(), "hexagon config error");
MACE_CHECK(hexagon_controller_->Init(), "hexagon init error");
hexagon_controller_->SetDebugLevel(
static_cast<int>(mace::internal::LogMessage::MinVLogLevel()));
static_cast<int>(mace::logging::LogMessage::MinVLogLevel()));
int dsp_mode = ArgumentHelper::GetSingleArgument<NetDef, int>(
*net_def, "dsp_mode", 0);
hexagon_controller_->SetGraphMode(dsp_mode);
......
mace/core/net.cc
浏览文件 @ 751fd049
......@@ -4,6 +4,7 @@
#include "mace/core/net.h"
#include "mace/utils/utils.h"
#include "mace/utils/timer.h"
#include "mace/utils/memory_logging.h"
namespace mace {
......@@ -24,11 +25,11 @@ SimpleNet::SimpleNet(const std::shared_ptr<const OperatorRegistry> op_registry,
VLOG(1) << "Constructing SimpleNet " << net_def->name();
for (int idx = 0; idx < net_def->op_size(); ++idx) {
const auto &operator_def = net_def->op(idx);
VLOG(1) << "Creating operator " << operator_def.name() << ":"
<< operator_def.type();
std::unique_ptr<OperatorBase> op{nullptr};
VLOG(3) << "Creating operator " << operator_def.name() << "("
<< operator_def.type() << ")";
OperatorDef temp_def(operator_def);
op = op_registry->CreateOperator(temp_def, ws, type, mode);
std::unique_ptr<OperatorBase> op(
op_registry->CreateOperator(temp_def, ws, type, mode));
if (op) {
operators_.emplace_back(std::move(op));
}
......@@ -37,14 +38,16 @@ SimpleNet::SimpleNet(const std::shared_ptr<const OperatorRegistry> op_registry,
bool SimpleNet::Run(RunMetadata *run_metadata) {
MACE_MEMORY_LOGGING_GUARD();
VLOG(1) << "Running net " << name_;
MACE_LATENCY_LOGGER(1, "Running net");
for (auto iter = operators_.begin(); iter != operators_.end(); ++iter) {
auto &op = *iter;
VLOG(3) << "Running operator " << op->debug_def().name() << "("
<< op->debug_def().type() << ").";
MACE_LATENCY_LOGGER(2, "Running operator ", op->debug_def().name());
bool future_wait = (device_type_ == DeviceType::OPENCL &&
(run_metadata != nullptr ||
std::distance(iter, operators_.end()) == 1));
auto &op = *iter;
VLOG(1) << "Running operator " << op->debug_def().name() << "("
<< op->debug_def().type() << ").";
bool ret;
CallStats call_stats;
......@@ -57,9 +60,9 @@ bool SimpleNet::Run(RunMetadata *run_metadata) {
future.wait_fn(nullptr);
}
} else if (run_metadata != nullptr) {
call_stats.start_micros = NowInMicroSec();
call_stats.start_micros = NowMicros();
ret = op->Run(nullptr);
call_stats.end_micros = NowInMicroSec();
call_stats.end_micros = NowMicros();
} else {
ret = op->Run(nullptr);
}
......@@ -75,8 +78,8 @@ bool SimpleNet::Run(RunMetadata *run_metadata) {
return false;
}
VLOG(1) << "Op " << op->debug_def().name()
<< " has shape: " << internal::MakeString(op->Output(0)->shape());
VLOG(3) << "Operator " << op->debug_def().name()
<< " has shape: " << MakeString(op->Output(0)->shape());
}
return true;
......@@ -98,7 +101,7 @@ std::unique_ptr<NetBase> CreateNet(
Workspace *ws,
DeviceType type,
const NetMode mode) {
unique_ptr<NetBase> net(new SimpleNet(op_registry, net_def, ws, type, mode));
std::unique_ptr<NetBase> net(new SimpleNet(op_registry, net_def, ws, type, mode));
return net;
}
......
mace/core/net.h
浏览文件 @ 751fd049
......@@ -5,9 +5,8 @@
#ifndef MACE_CORE_NET_H_
#define MACE_CORE_NET_H_
#include "mace/core/common.h"
#include "mace/core/operator.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
namespace mace {
......@@ -45,7 +44,7 @@ class SimpleNet : public NetBase {
bool Run(RunMetadata *run_metadata = nullptr) override;
protected:
vector<unique_ptr<OperatorBase> > operators_;
std::vector<std::unique_ptr<OperatorBase> > operators_;
DeviceType device_type_;
DISABLE_COPY_AND_ASSIGN(SimpleNet);
......
mace/core/operator.h
浏览文件 @ 751fd049
......@@ -6,9 +6,8 @@
#define MACE_CORE_OPERATOR_H
#include "mace/core/arg_helper.h"
#include "mace/core/common.h"
#include "mace/core/future.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/registry.h"
#include "mace/core/tensor.h"
#include "mace/core/workspace.h"
......@@ -37,8 +36,8 @@ class OperatorBase {
*operator_def_, name);
}
template <typename T>
inline vector<T> GetRepeatedArgument(
const string &name, const vector<T> &default_value = {}) const {
inline std::vector<T> GetRepeatedArgument(
const string &name, const std::vector<T> &default_value = {}) const {
MACE_CHECK(operator_def_, "operator_def was null!");
return ArgumentHelper::GetRepeatedArgument<OperatorDef, T>(
*operator_def_, name, default_value);
......@@ -53,8 +52,8 @@ class OperatorBase {
inline int InputSize() { return inputs_.size(); }
inline int OutputSize() { return outputs_.size(); }
inline const vector<const Tensor *> &Inputs() const { return inputs_; }
inline const vector<Tensor *> &Outputs() { return outputs_; }
inline const std::vector<const Tensor *> &Inputs() const { return inputs_; }
inline const std::vector<Tensor *> &Outputs() { return outputs_; }
// Run Op asynchronously (depends on device), return a future if not nullptr.
virtual bool Run(StatsFuture *future) = 0;
......@@ -74,8 +73,8 @@ class OperatorBase {
protected:
Workspace *operator_ws_;
std::shared_ptr<const OperatorDef> operator_def_;
vector<const Tensor *> inputs_;
vector<Tensor *> outputs_;
std::vector<const Tensor *> inputs_;
std::vector<Tensor *> outputs_;
DISABLE_COPY_AND_ASSIGN(OperatorBase);
};
......
mace/core/registry.h
浏览文件 @ 751fd049
......@@ -5,7 +5,14 @@
#ifndef MACE_CORE_REGISTRY_H_
#define MACE_CORE_REGISTRY_H_
#include <map>
#include <memory>
#include <mutex>
#include <string>
#include <vector>
#include "mace/public/mace.h"
#include "mace/utils/logging.h"
namespace mace {
......@@ -17,7 +24,7 @@ class Registry {
Registry() : registry_() {}
void Register(const SrcType &key, Creator creator) {
VLOG(2) << "Registering: " << key;
VLOG(3) << "Registering: " << key;
std::lock_guard<std::mutex> lock(register_mutex_);
MACE_CHECK(registry_.count(key) == 0, "Key already registered: ", key);
registry_[key] = creator;
......@@ -27,7 +34,7 @@ class Registry {
return registry_.count(key) != 0;
}
unique_ptr<ObjectType> Create(const SrcType &key, Args... args) const {
std::unique_ptr<ObjectType> Create(const SrcType &key, Args... args) const {
if (registry_.count(key) == 0) {
LOG(FATAL) << "Key not registered: " << key;
}
......@@ -37,8 +44,8 @@ class Registry {
/**
* Returns the keys currently registered as a vector.
*/
vector<SrcType> Keys() const {
vector<SrcType> keys;
std::vector<SrcType> Keys() const {
std::vector<SrcType> keys;
for (const auto &it : registry_) {
keys.push_back(it.first);
}
......@@ -62,7 +69,7 @@ class Registerer {
}
template <class DerivedType>
static unique_ptr<ObjectType> DefaultCreator(Args... args) {
static std::unique_ptr<ObjectType> DefaultCreator(Args... args) {
return std::unique_ptr<ObjectType>(new DerivedType(args...));
}
};
......
mace/core/runtime/hexagon/hexagon_control_wrapper.cc
浏览文件 @ 751fd049
......@@ -2,11 +2,13 @@
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include "mace/core/runtime/hexagon/hexagon_control_wrapper.h"
#include "mace/core/runtime/hexagon/hexagon_nn_ops.h"
#include <vector>
#include <thread>
#include <sys/time.h>
#include "mace/core/runtime/hexagon/hexagon_control_wrapper.h"
#include "mace/core/runtime/hexagon/hexagon_nn_ops.h"
namespace {
inline int64_t NowMicros() {
struct timeval tv;
......@@ -61,9 +63,9 @@ bool HexagonControlWrapper::SetupGraph(const NetDef &net_def) {
// const node
std::thread const_thread([&]() {
std::cout << "thread function\n";
vector<hexagon_nn_const_node> const_node_list;
std::vector<hexagon_nn_const_node> const_node_list;
for (const ConstTensor &tensor_proto: net_def.tensors()) {
vector<int> tensor_shape(tensor_proto.dims().begin(),
std::vector<int> tensor_shape(tensor_proto.dims().begin(),
tensor_proto.dims().end());
while (tensor_shape.size() < 4) {
tensor_shape.insert(tensor_shape.begin(), 1);
......@@ -110,11 +112,11 @@ bool HexagonControlWrapper::SetupGraph(const NetDef &net_def) {
std::thread op_thread([&]() {
OpMap op_map;
op_map.Init();
vector<hexagon_nn_op_node> op_node_list;
vector<vector<hexagon_nn_input>> cached_inputs;
vector<vector<hexagon_nn_output>> cached_outputs;
vector<hexagon_nn_input> inputs;
vector<hexagon_nn_output> outputs;
std::vector<hexagon_nn_op_node> op_node_list;
std::vector<std::vector<hexagon_nn_input>> cached_inputs;
std::vector<std::vector<hexagon_nn_output>> cached_outputs;
std::vector<hexagon_nn_input> inputs;
std::vector<hexagon_nn_output> outputs;
for (const OperatorDef &op: net_def.op()) {
int op_id = op_map.GetOpId(op.type());
......@@ -172,7 +174,7 @@ bool HexagonControlWrapper::SetupGraph(const NetDef &net_def) {
// input info
num_inputs_ = 0;
for (const InputInfo &input_info: net_def.input_info()) {
vector<index_t> input_shape;
std::vector<index_t> input_shape;
input_shape.insert(input_shape.begin(),
input_info.dims().begin(), input_info.dims().end());
while (input_shape.size() < 4) {
......@@ -186,7 +188,7 @@ bool HexagonControlWrapper::SetupGraph(const NetDef &net_def) {
// output info
num_outputs_ = 0;
for (const OutputInfo &output_info: net_def.output_info()) {
vector<index_t> output_shape;
std::vector<index_t> output_shape;
output_shape.insert(output_shape.begin(),
output_info.dims().begin(), output_info.dims().end());
while (output_shape.size() < 4) {
......@@ -207,7 +209,7 @@ bool HexagonControlWrapper::SetupGraph(const NetDef &net_def) {
int64_t t2 = NowMicros();
VLOG(0) << "Setup time: " << t1 - t0 << " " << t2 - t1;
VLOG(1) << "Setup time: " << t1 - t0 << " " << t2 - t1;
return res == 0;
}
......@@ -225,7 +227,7 @@ void HexagonControlWrapper::PrintLog() {
MACE_CHECK(hexagon_nn_getlog(nn_id_,
reinterpret_cast<unsigned char *>(buf),
PRINT_BUFSIZE) == 0, "print log error");
LOG(INFO) << string(buf);
LOG(INFO) << std::string(buf);
delete[]buf;
}
......@@ -236,7 +238,7 @@ void HexagonControlWrapper::PrintGraph() {
MACE_CHECK(hexagon_nn_snpprint(nn_id_,
reinterpret_cast<unsigned char *>(buf),
PRINT_BUFSIZE) == 0, "print graph error");
LOG(INFO) << string(buf);
LOG(INFO) << std::string(buf);
delete[]buf;
}
......@@ -253,7 +255,7 @@ void HexagonControlWrapper::SetGraphMode(int mode) {
void HexagonControlWrapper::GetPerfInfo() {
LOG(INFO) << "Get perf info";
vector<hexagon_nn_perfinfo> perf_info(MAX_NODE);
std::vector<hexagon_nn_perfinfo> perf_info(MAX_NODE);
unsigned int n_items = 0;
MACE_CHECK(
hexagon_nn_get_perfinfo(nn_id_, perf_info.data(), MAX_NODE, &n_items) == 0,
......@@ -263,7 +265,7 @@ void HexagonControlWrapper::GetPerfInfo() {
std::unordered_map<std::string, std::pair<int, float>> node_type_counters;
float total_duration = 0.0;
VLOG(0) << "items: " << n_items;
VLOG(1) << "items: " << n_items;
for (int i = 0; i < n_items; ++i) {
unsigned int node_id = perf_info[i].node_id;
unsigned int node_type_id = perf_info[i].node_type;
......@@ -309,7 +311,7 @@ bool HexagonControlWrapper::ExecuteGraph(const Tensor &input_tensor,
MACE_ASSERT(num_outputs_ == 1, "Wrong outputs num");
output_tensor->SetDtype(output_data_types_[0]);
output_tensor->Resize(output_shapes_[0]);
vector<uint32_t> output_shape(4);
std::vector<uint32_t> output_shape(4);
uint32_t output_bytes;
int res = hexagon_nn_execute(nn_id_,
input_tensor.shape()[0],
......@@ -336,8 +338,8 @@ bool HexagonControlWrapper::ExecuteGraph(const Tensor &input_tensor,
return res == 0;
};
bool HexagonControlWrapper::ExecuteGraphNew(const vector<Tensor> &input_tensors,
vector<Tensor> *output_tensors) {
bool HexagonControlWrapper::ExecuteGraphNew(const std::vector<Tensor> &input_tensors,
std::vector<Tensor> *output_tensors) {
LOG(INFO) << "Execute graph new: " << nn_id_;
int num_inputs = input_tensors.size();
int num_outputs = output_tensors->size();
......@@ -348,7 +350,7 @@ bool HexagonControlWrapper::ExecuteGraphNew(const vector<Tensor> &input_tensors,
hexagon_nn_tensordef *outputs = new hexagon_nn_tensordef[num_outputs];
for (int i = 0; i < num_inputs; ++i) {
vector<index_t> input_shape = input_tensors[i].shape();
std::vector<index_t> input_shape = input_tensors[i].shape();
inputs[i].batches = input_shape[0];
inputs[i].height = input_shape[1];
inputs[i].width = input_shape[2];
......@@ -372,7 +374,7 @@ bool HexagonControlWrapper::ExecuteGraphNew(const vector<Tensor> &input_tensors,
outputs, num_outputs);
for (int i = 0; i < num_outputs; ++i) {
vector<uint32_t> output_shape{outputs[i].batches, outputs[i].height,
std::vector<uint32_t> output_shape{outputs[i].batches, outputs[i].height,
outputs[i].width, outputs[i].depth};
MACE_ASSERT(output_shape == output_shapes_[i],
"wrong output shape inferred");
......@@ -387,8 +389,8 @@ bool HexagonControlWrapper::ExecuteGraphNew(const vector<Tensor> &input_tensors,
bool HexagonControlWrapper::ExecuteGraphPreQuantize(const Tensor &input_tensor,
Tensor *output_tensor) {
vector<Tensor> input_tensors(3);
vector<Tensor> output_tensors(3);
std::vector<Tensor> input_tensors(3);
std::vector<Tensor> output_tensors(3);
input_tensors[0].SetDtype(DT_UINT8);
output_tensors[0].SetDtype(DT_UINT8);
input_tensors[0].ResizeLike(input_tensor);
......
mace/core/runtime/hexagon/hexagon_control_wrapper.h
浏览文件 @ 751fd049
......@@ -5,11 +5,12 @@
#ifndef MACE_DSP_HEXAGON_CONTROL_WRAPPER_H_
#define MACE_DSP_HEXAGON_CONTROL_WRAPPER_H_
#include <vector>
#include "mace/core/runtime/hexagon/hexagon_controller.h"
#include "mace/core/runtime/hexagon/quantize.h"
#include "mace/core/common.h"
#include "mace/core/tensor.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/serializer.h"
namespace mace {
......@@ -23,8 +24,8 @@ class HexagonControlWrapper {
bool Finalize();
bool SetupGraph(const NetDef& net_def);
bool ExecuteGraph(const Tensor &input_tensor, Tensor *output_tensor);
bool ExecuteGraphNew(const vector<Tensor>& input_tensors,
vector<Tensor> *output_tensors);
bool ExecuteGraphNew(const std::vector<Tensor>& input_tensors,
std::vector<Tensor> *output_tensors);
bool ExecuteGraphPreQuantize(const Tensor &input_tensor, Tensor *output_tensor);
bool TeardownGraph();
......@@ -47,10 +48,10 @@ class HexagonControlWrapper {
Serializer serializer_;
Quantizer quantizer_;
vector<vector<index_t>> input_shapes_;
vector<vector<index_t>> output_shapes_;
vector<DataType> input_data_types_;
vector<DataType> output_data_types_;
std::vector<std::vector<index_t>> input_shapes_;
std::vector<std::vector<index_t>> output_shapes_;
std::vector<DataType> input_data_types_;
std::vector<DataType> output_data_types_;
uint32_t num_inputs_;
uint32_t num_outputs_;
......
mace/core/runtime/hexagon/quantize.h
浏览文件 @ 751fd049
......@@ -5,7 +5,6 @@
#ifndef MACE_DSP_UTIL_QUANTIZE_H_
#define MACE_DSP_UTIL_QUANTIZE_H_
#include "mace/core/common.h"
#include "mace/core/tensor.h"
namespace mace {
......
mace/core/runtime/opencl/opencl_preallocated_pooled_allocator.cc
浏览文件 @ 751fd049
......@@ -18,7 +18,7 @@ void OpenCLPreallocatedPooledAllocator::PreallocateImage(int mem_id,
size_t> &image_shape,
DataType data_type) {
MACE_CHECK(!this->HasImage(mem_id), "Memory already exists: ", mem_id);
VLOG(3) << "Preallocate OpenCL image: " << mem_id << " "
VLOG(2) << "Preallocate OpenCL image: " << mem_id << " "
<< image_shape[0] << ", " << image_shape[1];
images_[mem_id] = std::move(std::unique_ptr<void, std::function<void(void *)>>(
allocator->NewImage(image_shape, data_type), [this](void *p) {
......
mace/core/runtime/opencl/opencl_runtime.cc
浏览文件 @ 751fd049
......@@ -8,7 +8,7 @@
#include <mutex>
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/utils/tuner.h"
namespace mace {
......
mace/core/serializer.cc
浏览文件 @ 751fd049
......@@ -6,17 +6,17 @@
namespace mace {
unique_ptr<ConstTensor> Serializer::Serialize(const Tensor &tensor,
const string &name) {
std::unique_ptr<ConstTensor> Serializer::Serialize(const Tensor &tensor,
const std::string &name) {
MACE_NOT_IMPLEMENTED;
return nullptr;
}
unique_ptr<Tensor> Serializer::Deserialize(const ConstTensor &proto,
std::unique_ptr<Tensor> Serializer::Deserialize(const ConstTensor &proto,
DeviceType type) {
unique_ptr<Tensor> tensor(
std::unique_ptr<Tensor> tensor(
new Tensor(GetDeviceAllocator(type), proto.data_type()));
vector<index_t> dims;
std::vector<index_t> dims;
for (const index_t d : proto.dims()) {
dims.push_back(d);
}
......
mace/core/serializer.h
浏览文件 @ 751fd049
......@@ -5,9 +5,8 @@
#ifndef MACE_CORE_SERIALIZER_H_
#define MACE_CORE_SERIALIZER_H_
#include "mace/core/common.h"
#include "mace/core/tensor.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
namespace mace {
......@@ -16,9 +15,9 @@ class Serializer {
Serializer() {}
~Serializer() {}
unique_ptr<ConstTensor> Serialize(const Tensor &tensor, const string &name);
std::unique_ptr<ConstTensor> Serialize(const Tensor &tensor, const std::string &name);
unique_ptr<Tensor> Deserialize(const ConstTensor &proto, DeviceType type);
std::unique_ptr<Tensor> Deserialize(const ConstTensor &proto, DeviceType type);
DISABLE_COPY_AND_ASSIGN(Serializer);
};
......
mace/core/tensor.h
浏览文件 @ 751fd049
......@@ -6,10 +6,9 @@
#define MACE_CORE_TENSOR_H_
#include "mace/core/allocator.h"
#include "mace/core/common.h"
#include "mace/utils/logging.h"
#include "mace/core/types.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "preallocated_pooled_allocator.h"
namespace mace {
......@@ -32,7 +31,7 @@ namespace mace {
CASE(uint16_t, SINGLE_ARG(STMTS)) \
CASE(int16_t, SINGLE_ARG(STMTS)) \
CASE(int8_t, SINGLE_ARG(STMTS)) \
CASE(string, SINGLE_ARG(STMTS)) \
CASE(std::string, SINGLE_ARG(STMTS)) \
CASE(int64_t, SINGLE_ARG(STMTS)) \
CASE(bool, SINGLE_ARG(STMTS)) \
case DT_INVALID: \
......@@ -92,9 +91,9 @@ class Tensor {
inline void SetDtype(DataType dtype) { dtype_ = dtype; }
inline const vector<index_t> &shape() const { return shape_; }
inline const std::vector<index_t> &shape() const { return shape_; }
inline const vector<size_t> &image_shape() const { return image_shape_; }
inline const std::vector<size_t> &image_shape() const { return image_shape_; }
inline const bool is_image() const { return is_image_; }
......@@ -174,7 +173,7 @@ class Tensor {
return static_cast<T *>(raw_mutable_data());
}
inline void Resize(const vector<index_t> &shape) {
inline void Resize(const std::vector<index_t> &shape) {
MACE_CHECK(!is_image_ || buffer_ == nullptr,
"Resize is not for image, use ResizeImage instead.");
is_image_ = false;
......@@ -194,7 +193,7 @@ class Tensor {
}
}
inline void ResizeImage(const vector<index_t> &shape,
inline void ResizeImage(const std::vector<index_t> &shape,
const std::vector<size_t> &image_shape) {
MACE_CHECK(is_image_ || buffer_ == nullptr,
"ResizeImage is not for buffer, use Resize instead.");
......@@ -260,7 +259,7 @@ class Tensor {
inline void CopyWithCast(const SrcType *src, size_t size) {
MACE_CHECK(static_cast<index_t>(size) == size_,
"copy src and dst with different size.");
unique_ptr<DstType[]> buffer(new DstType[size]);
std::unique_ptr<DstType[]> buffer(new DstType[size]);
for (size_t i = 0; i < size; ++i) {
buffer[i] = static_cast<DstType>(src[i]);
}
......@@ -335,7 +334,7 @@ class Tensor {
if (tensor_ != nullptr) tensor_->Unmap();
}
inline const vector<size_t> &mapped_image_pitch() const { return mapped_image_pitch_; }
inline const std::vector<size_t> &mapped_image_pitch() const { return mapped_image_pitch_; }
private:
const Tensor *tensor_;
......@@ -358,7 +357,7 @@ class Tensor {
std::unique_ptr<void, std::function<void(void*)>> buffer_;
// Mapped buffer
mutable void *data_;
vector<index_t> shape_;
std::vector<index_t> shape_;
// Image for opencl
bool unused_;
bool is_image_;
......
mace/core/testing/test_benchmark.cc
浏览文件 @ 751fd049
......@@ -120,7 +120,7 @@ void Benchmark::Run(int arg1, int arg2, int *run_count, double *run_seconds) {
int64_t iters = kMinIters;
while (true) {
accum_time = 0;
start_time = utils::NowMicros();
start_time = NowMicros();
bytes_processed = -1;
macc_processed = -1;
label.clear();
......@@ -152,11 +152,11 @@ void Benchmark::Run(int arg1, int arg2, int *run_count, double *run_seconds) {
void BytesProcessed(int64_t n) { bytes_processed = n; }
void MaccProcessed(int64_t n) { macc_processed = n; }
void StartTiming() {
if (start_time == 0) start_time = utils::NowMicros();
if (start_time == 0) start_time = NowMicros();
}
void StopTiming() {
if (start_time != 0) {
accum_time += (utils::NowMicros() - start_time);
accum_time += (NowMicros() - start_time);
start_time = 0;
}
}
......
mace/core/types.cc
浏览文件 @ 751fd049
......@@ -2,7 +2,11 @@
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include <map>
#include <cstdint>
#include "mace/core/types.h"
#include "mace/utils/logging.h"
namespace mace {
......
mace/core/types.h
浏览文件 @ 751fd049
......@@ -5,13 +5,15 @@
#ifndef MACE_CORE_TYPES_H_
#define MACE_CORE_TYPES_H_
#include "mace/core/common.h"
#include "mace/core/public/mace.h"
#include "mace/core/half.h"
#include <cstdint>
#include "mace/core/half.h"
#include "mace/public/mace.h"
namespace mace {
typedef int64_t index_t;
using half = half_float::half;
bool DataTypeCanUseMemcpy(DataType dt);
......@@ -57,7 +59,7 @@ MATCH_TYPE_AND_ENUM(uint16_t, DT_UINT16);
MATCH_TYPE_AND_ENUM(uint8_t, DT_UINT8);
MATCH_TYPE_AND_ENUM(int16_t, DT_INT16);
MATCH_TYPE_AND_ENUM(int8_t, DT_INT8);
MATCH_TYPE_AND_ENUM(string, DT_STRING);
MATCH_TYPE_AND_ENUM(std::string, DT_STRING);
MATCH_TYPE_AND_ENUM(int64_t, DT_INT64);
MATCH_TYPE_AND_ENUM(uint32_t, DT_UINT32);
MATCH_TYPE_AND_ENUM(bool, DT_BOOL);
......
mace/core/workspace.cc
浏览文件 @ 751fd049
......@@ -2,44 +2,48 @@
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include <string>
#include <vector>
#include "mace/core/workspace.h"
#include "mace/core/serializer.h"
#include "mace/core/arg_helper.h"
#include "mace/core/runtime/opencl/opencl_preallocated_pooled_allocator.h"
#include "mace/utils/timer.h"
namespace mace {
vector<string> Workspace::Tensors() const {
vector<string> names;
std::vector<std::string> Workspace::Tensors() const {
std::vector<std::string> names;
for (auto &entry : tensor_map_) {
names.push_back(entry.first);
}
return names;
}
Tensor *Workspace::CreateTensor(const string &name,
Tensor *Workspace::CreateTensor(const std::string &name,
Allocator *alloc,
DataType type) {
if (HasTensor(name)) {
VLOG(1) << "Tensor " << name << " already exists. Skipping.";
VLOG(3) << "Tensor " << name << " already exists. Skipping.";
} else {
VLOG(1) << "Creating Tensor " << name;
VLOG(3) << "Creating Tensor " << name;
tensor_map_[name] = std::move(std::unique_ptr<Tensor>(new Tensor(alloc, type)));
}
return GetTensor(name);
}
bool Workspace::RemoveTensor(const string &name) {
bool Workspace::RemoveTensor(const std::string &name) {
auto it = tensor_map_.find(name);
if (it != tensor_map_.end()) {
VLOG(1) << "Removing blob " << name << " from this workspace.";
VLOG(3) << "Removing blob " << name << " from this workspace.";
tensor_map_.erase(it);
return true;
}
return false;
}
const Tensor *Workspace::GetTensor(const string &name) const {
const Tensor *Workspace::GetTensor(const std::string &name) const {
if (tensor_map_.count(name)) {
return tensor_map_.at(name).get();
} else {
......@@ -60,18 +64,20 @@ void Workspace::RemoveUnsedTensor() {
}
}
Tensor *Workspace::GetTensor(const string &name) {
Tensor *Workspace::GetTensor(const std::string &name) {
return const_cast<Tensor *>(
static_cast<const Workspace *>(this)->GetTensor(name));
}
void Workspace::LoadModelTensor(const NetDef &net_def, DeviceType type) {
MACE_LATENCY_LOGGER(1, "Load model tensors");
Serializer serializer;
for (auto &tensor_proto : net_def.tensors()) {
VLOG(1) << "Load tensor: " << tensor_proto.name()
MACE_LATENCY_LOGGER(2, "Load tensor ", tensor_proto.name());
VLOG(3) << "Load tensor: " << tensor_proto.name()
<< ", with data type: " << tensor_proto.data_type()
<< ", has shape: "
<< internal::MakeString(vector<index_t>(tensor_proto.dims().begin(),
<< MakeString(std::vector<index_t>(tensor_proto.dims().begin(),
tensor_proto.dims().end()));
tensor_map_[tensor_proto.name()] =
serializer.Deserialize(tensor_proto, type);
......@@ -114,7 +120,7 @@ void Workspace::CreateImageOutputTensor(const NetDef &net_def) {
{mem_block.x(), mem_block.y()},
dtype);
}
VLOG(1) << "Preallocate image to tensors";
VLOG(3) << "Preallocate image to tensors";
auto allocator = GetDeviceAllocator(DeviceType::OPENCL);
for (auto &op: net_def.op()) {
if (op.has_mem_id()) {
......
mace/core/workspace.h
浏览文件 @ 751fd049
......@@ -5,36 +5,35 @@
#ifndef MACE_CORE_WORKSPACE_H_
#define MACE_CORE_WORKSPACE_H_
#include "mace/core/common.h"
#include "mace/core/tensor.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/preallocated_pooled_allocator.h"
namespace mace {
class Workspace {
public:
typedef map<string, std::unique_ptr<Tensor>> TensorMap;
typedef std::map<std::string, std::unique_ptr<Tensor>> TensorMap;
Workspace()
: preallocated_allocator_(nullptr) {}
~Workspace() {}
vector<string> Tensors() const;
std::vector<std::string> Tensors() const;
Tensor *CreateTensor(const string &name, Allocator *alloc, DataType type);
Tensor *CreateTensor(const std::string &name, Allocator *alloc, DataType type);
bool RemoveTensor(const string &name);
bool RemoveTensor(const std::string &name);
void RemoveUnsedTensor();
inline bool HasTensor(const string &name) const {
inline bool HasTensor(const std::string &name) const {
return tensor_map_.count(name);
}
const Tensor *GetTensor(const string &name) const;
const Tensor *GetTensor(const std::string &name) const;
Tensor *GetTensor(const string &name);
Tensor *GetTensor(const std::string &name);
void LoadModelTensor(const NetDef &net_def, DeviceType type);
......
mace/kernels/BUILD
浏览文件 @ 751fd049
......@@ -23,7 +23,7 @@ cc_library(
linkopts = if_android(["-lm"]),
deps = [
"//mace/core",
"//mace/utils:utils_hdrs",
"//mace/utils",
],
)
......
mace/kernels/batch_norm.h
浏览文件 @ 751fd049
......@@ -10,7 +10,7 @@
#endif
#include "mace/core/future.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/runtime/opencl/cl2_header.h"
#include "mace/core/tensor.h"
#include "mace/kernels/activation.h"
......
mace/kernels/bias_add.h
浏览文件 @ 751fd049
......@@ -7,7 +7,7 @@
#include "mace/core/future.h"
#include "mace/core/tensor.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/runtime/opencl/cl2_header.h"
namespace mace {
......
mace/kernels/concat.h
浏览文件 @ 751fd049
......@@ -5,10 +5,9 @@
#ifndef MACE_KERNELS_CONCAT_H_
#define MACE_KERNELS_CONCAT_H_
#include "mace/core/common.h"
#include "mace/core/future.h"
#include "mace/core/types.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/tensor.h"
#include "mace/core/runtime/opencl/cl2_header.h"
......
mace/kernels/conv_pool_2d_util.cc
浏览文件 @ 751fd049
......@@ -183,7 +183,6 @@ void ConstructInputWithPadding(const Tensor *input_tensor,
const int *paddings,
Tensor *output_tensor,
bool padding_same_value) {
VLOG(1) << "input: " << input_tensor->NumElements();
Tensor::MappingGuard input_mapper(input_tensor);
const float *input = input_tensor->data<float>();
const index_t *input_shape = input_tensor->shape().data();
......@@ -255,7 +254,6 @@ void ConstructNHWCInputWithPadding(const Tensor *input_tensor,
const int *paddings,
Tensor *output_tensor,
bool padding_same_value) {
VLOG(1) << "input: " << input_tensor->NumElements();
Tensor::MappingGuard input_mapper(input_tensor);
const float *input = input_tensor->data<float>();
const index_t *input_shape = input_tensor->shape().data();
......
mace/kernels/depthwise_conv2d.h
浏览文件 @ 751fd049
......@@ -9,9 +9,8 @@
#include <arm_neon.h>
#endif
#include "mace/core/common.h"
#include "mace/core/future.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/runtime/opencl/cl2_header.h"
#include "mace/kernels/conv_pool_2d_util.h"
......
mace/kernels/neon/avg_pooling_neon_2x2.cc
浏览文件 @ 751fd049
......@@ -6,8 +6,6 @@
#include <float.h>
#include <limits>
#include "mace/core/common.h"
namespace mace {
namespace kernels {
......
mace/kernels/neon/conv_2d_neon_1x1.cc
浏览文件 @ 751fd049
......@@ -3,7 +3,6 @@
//
#include <arm_neon.h>
#include "mace/core/common.h"
#include "mace/utils/utils.h"
namespace mace {
......
mace/kernels/neon/conv_2d_neon_3x3.cc
浏览文件 @ 751fd049
......@@ -3,7 +3,6 @@
//
#include <arm_neon.h>
#include "mace/core/common.h"
namespace mace {
namespace kernels {
......
mace/kernels/neon/conv_2d_neon_5x5.cc
浏览文件 @ 751fd049
......@@ -5,7 +5,6 @@
#define MACE_KERNELS_NEON_CONV_2D_NEON_5X5_H_
#include <arm_neon.h>
#include "mace/core/common.h"
namespace mace {
namespace kernels {
......
mace/kernels/opencl/addn.cc
浏览文件 @ 751fd049
......@@ -52,7 +52,7 @@ void AddNFunctor<DeviceType::OPENCL, T>::operator()(
built_options.emplace("-Daddn=" + kernel_name);
built_options.emplace("-DDATA_TYPE=" + DtToUpstreamCLDt(dt));
built_options.emplace("-DCMD_DATA_TYPE=" + DtToUpstreamCLCMDDt(dt));
built_options.emplace("-DINPUT_NUM=" + ToString(input_tensors.size()));
built_options.emplace(MakeString("-DINPUT_NUM=", input_tensors.size()));
kernel_ = runtime->BuildKernel("addn", kernel_name, built_options);
uint32_t idx = 0;
......
mace/kernels/opencl/buffer_to_image.cc
浏览文件 @ 751fd049
......@@ -33,7 +33,7 @@ void BufferToImageFunctor<DeviceType::OPENCL, T>::operator()(Tensor *buffer,
size_t gws[2] = {image_shape[0],
image_shape[1]};
string kernel_name;
std::string kernel_name;
switch (type) {
case CONV2D_FILTER:
kernel_name = i2b_ ? "filter_image_to_buffer" : "filter_buffer_to_image";
......@@ -59,7 +59,7 @@ void BufferToImageFunctor<DeviceType::OPENCL, T>::operator()(Tensor *buffer,
kernel_name = i2b_ ? "winograd_filter_image_to_buffer" : "winograd_filter_buffer_to_image";
break;
}
string obfuscated_kernel_name = MACE_OBFUSCATE_SYMBOL(kernel_name);
std::string obfuscated_kernel_name = MACE_OBFUSCATE_SYMBOL(kernel_name);
std::set<std::string> built_options;
std::stringstream kernel_name_ss;
kernel_name_ss << "-D" << kernel_name << "=" << obfuscated_kernel_name;
......
mace/kernels/opencl/conv_2d_opencl_1x1.cc
浏览文件 @ 751fd049
......@@ -44,7 +44,7 @@ extern void Conv2dOpenclK1x1(cl::Kernel *kernel,
built_options.emplace("-Dconv_2d_1x1=" + kernel_name);
built_options.emplace("-DDATA_TYPE=" + DtToUpstreamCLDt(dt));
built_options.emplace("-DCMD_DATA_TYPE=" + DtToUpstreamCLCMDDt(dt));
built_options.emplace("-DSTRIDE=" + ToString(stride));
built_options.emplace(MakeString("-DSTRIDE=", stride));
if (bias != nullptr) {
built_options.emplace("-DBIAS");
}
......
mace/kernels/opencl/conv_2d_opencl_3x3.cc
浏览文件 @ 751fd049
......@@ -3,7 +3,6 @@
//
#include "mace/kernels/conv_2d.h"
#include "mace/core/common.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/activation.h"
#include "mace/kernels/opencl/helper.h"
......@@ -43,7 +42,7 @@ extern void Conv2dOpenclK3x3(cl::Kernel *kernel,
built_options.emplace("-DDATA_TYPE=" + DtToUpstreamCLDt(dt));
built_options.emplace("-DCMD_DATA_TYPE=" + DtToUpstreamCLCMDDt(dt));
built_options.emplace(bias != nullptr ? "-DBIAS" : "");
built_options.emplace("-DSTRIDE=" + ToString(stride));
built_options.emplace(MakeString("-DSTRIDE=", stride));
switch (activation) {
case NOOP:
break;
......
mace/kernels/opencl/conv_2d_opencl_general.cc
浏览文件 @ 751fd049
......@@ -3,7 +3,6 @@
//
#include "mace/kernels/conv_2d.h"
#include "mace/core/common.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/activation.h"
#include "mace/kernels/opencl/helper.h"
......@@ -43,7 +42,7 @@ extern void Conv2dOpencl(cl::Kernel *kernel,
built_options.emplace("-DDATA_TYPE=" + DtToUpstreamCLDt(dt));
built_options.emplace("-DCMD_DATA_TYPE=" + DtToUpstreamCLCMDDt(dt));
built_options.emplace(bias != nullptr ? "-DBIAS" : "");
built_options.emplace("-DSTRIDE=" + ToString(stride));
built_options.emplace(MakeString("-DSTRIDE=", stride));
switch (activation) {
case NOOP:
break;
......
mace/kernels/opencl/depthwise_conv_opencl.cc
浏览文件 @ 751fd049
......@@ -59,7 +59,7 @@ void DepthwiseConv2d(cl::Kernel *kernel,
built_options.emplace("-DDATA_TYPE=" + DtToUpstreamCLDt(dt));
built_options.emplace("-DCMD_DATA_TYPE=" + DtToUpstreamCLCMDDt(dt));
built_options.emplace(bias != nullptr ? "-DBIAS" : "");
built_options.emplace("-DSTRIDE=" + ToString(stride));
built_options.emplace(MakeString("-DSTRIDE=", stride));
switch (activation) {
case NOOP:
break;
......
mace/kernels/opencl/eltwise_opencl.cc
浏览文件 @ 751fd049
......@@ -33,7 +33,7 @@ void EltwiseFunctor<DeviceType::OPENCL, T>::operator()(const Tensor *input0,
built_options.emplace("-Deltwise=" + kernel_name);
built_options.emplace("-DDATA_TYPE=" + DtToUpstreamCLDt(dt));
built_options.emplace("-DCMD_DATA_TYPE=" + DtToUpstreamCLCMDDt(dt));
built_options.emplace("-DELTWISE_TYPE=" + ToString(type_));
built_options.emplace(MakeString("-DELTWISE_TYPE=", type_));
if (!coeff_.empty()) built_options.emplace("-DCOEFF_SUM");
kernel_ = runtime->BuildKernel("eltwise", kernel_name, built_options);
......
mace/kernels/opencl/space_to_batch_opencl.cc
浏览文件 @ 751fd049
......@@ -5,7 +5,6 @@
#ifndef MACE_KERNELS_OPENCL_SPACE_TO_BATCH_H_
#define MACE_KERNELS_OPENCL_SPACE_TO_BATCH_H_
#include "mace/core/common.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/space_to_batch.h"
#include "mace/kernels/opencl/helper.h"
......
mace/kernels/opencl/winograd_transform.cc
浏览文件 @ 751fd049
......@@ -32,7 +32,7 @@ void WinogradTransformFunctor<DeviceType::OPENCL, T>::operator()(const Tensor *i
CalImage2DShape(output_shape, BufferType::IN_OUT_HEIGHT, image_shape);
output_tensor->ResizeImage(output_shape, image_shape);
string obfuscated_kernel_name = MACE_OBFUSCATE_SYMBOL("winograd_transform_2x2");
std::string obfuscated_kernel_name = MACE_OBFUSCATE_SYMBOL("winograd_transform_2x2");
std::set<std::string> built_options;
built_options.emplace("-Dwinograd_transform_2x2=" + obfuscated_kernel_name);
built_options.emplace("-DDATA_TYPE=" + DtToUpstreamCLDt(DataTypeToEnum<T>::value));
......@@ -77,7 +77,7 @@ void WinogradInverseTransformFunctor<DeviceType::OPENCL, T>::operator()(const Te
output_tensor->ResizeImage(output_shape, image_shape);
if (kernel_.get() == nullptr) {
string obfuscated_kernel_name = MACE_OBFUSCATE_SYMBOL("winograd_inverse_transform_2x2");
std::string obfuscated_kernel_name = MACE_OBFUSCATE_SYMBOL("winograd_inverse_transform_2x2");
std::set<std::string> built_options;
built_options.emplace("-Dwinograd_inverse_transform_2x2=" + obfuscated_kernel_name);
built_options.emplace("-DDATA_TYPE=" + DtToUpstreamCLDt(DataTypeToEnum<T>::value));
......
mace/kernels/softmax.h
浏览文件 @ 751fd049
......@@ -7,7 +7,7 @@
#include "mace/core/future.h"
#include "mace/core/tensor.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/runtime/opencl/cl2_header.h"
namespace mace {
......
mace/kernels/space_to_batch.h
浏览文件 @ 751fd049
......@@ -7,7 +7,7 @@
#include "mace/core/future.h"
#include "mace/core/tensor.h"
#include "mace/core/public/mace.h"
#include "mace/public/mace.h"
#include "mace/core/runtime/opencl/cl2_header.h"
namespace mace {
......
mace/ops/addn.h
浏览文件 @ 751fd049
......@@ -5,6 +5,8 @@
#ifndef MACE_OPS_ADDN_H_
#define MACE_OPS_ADDN_H_
#include <vector>
#include "mace/core/operator.h"
#include "mace/kernels/addn.h"
......@@ -19,7 +21,7 @@ class AddNOp : public Operator<D, T> {
bool Run(StatsFuture *future) override {
Tensor *output_tensor = this->Output(0);
int n = this->inputs_.size();
vector<const Tensor *> inputs(n, nullptr);
std::vector<const Tensor *> inputs(n, nullptr);
inputs[0] = this->Input(0);
for (int i = 1; i < n; ++i) {
inputs[i] = this->Input(i);
......
mace/ops/addn_benchmark.cc
浏览文件 @ 751fd049
......@@ -15,19 +15,19 @@ static void AddNBenchmark(int iters, int inputs, int n, int h, int w, int c) {
OpsTestNet net;
// Add input data
for (int i = 0; i < inputs; ++i) {
net.AddRandomInput<D, float>(internal::MakeString("Input", i).c_str(),
net.AddRandomInput<D, float>(MakeString("Input", i).c_str(),
{n, h, w, c});
}
if (D == DeviceType::OPENCL) {
for (int i = 0; i < inputs; ++i) {
BufferToImage<D, T>(net, internal::MakeString("Input", i).c_str(),
internal::MakeString("InputImage", i).c_str(),
BufferToImage<D, T>(net, MakeString("Input", i).c_str(),
MakeString("InputImage", i).c_str(),
kernels::BufferType::IN_OUT_CHANNEL);
}
OpDefBuilder op_def_builder("AddN", "AddNBM");
for (int i = 0; i < inputs; ++i) {
op_def_builder.Input(internal::MakeString("InputImage", i).c_str());
op_def_builder.Input(MakeString("InputImage", i).c_str());
}
op_def_builder.Output("OutputImage")
.AddIntArg("T", static_cast<int>(DataTypeToEnum<T>::value))
......@@ -35,7 +35,7 @@ static void AddNBenchmark(int iters, int inputs, int n, int h, int w, int c) {
} else {
OpDefBuilder op_def_builder("AddN", "AddNBM");
for (int i = 0; i < inputs; ++i) {
op_def_builder.Input(internal::MakeString("Input", i).c_str());
op_def_builder.Input(MakeString("Input", i).c_str());
}
op_def_builder.Output("Output")
.AddIntArg("T", static_cast<int>(DataTypeToEnum<T>::value))
......
mace/ops/addn_test.cc
浏览文件 @ 751fd049
......@@ -75,13 +75,13 @@ void RandomTest() {
OpsTestNet net;
auto op_def = OpDefBuilder("AddN", "AddNTest");
for (int i = 0; i < input_num; ++i) {
op_def.Input("Input" + ToString(i));
op_def.Input(MakeString("Input", i));
}
op_def.Output("Output").Finalize(net.NewOperatorDef());
// Add input data
for (int i = 0; i < input_num; ++i) {
net.AddRandomInput<D, float>("Input" + ToString(i), {n, h, w, c});
net.AddRandomInput<D, float>(MakeString("Input", i), {n, h, w, c});
}
// run on cpu
......@@ -92,14 +92,14 @@ void RandomTest() {
// run on gpu
for (int i = 0; i < input_num; ++i) {
BufferToImage<D, half>(net, "Input" + ToString(i),
"InputImage" + ToString(i),
BufferToImage<D, half>(net, MakeString("Input", i),
MakeString("InputImage", i),
kernels::BufferType::IN_OUT_CHANNEL);
}
auto op_def_cl = OpDefBuilder("AddN", "AddNTest");
for (int i = 0; i < input_num; ++i) {
op_def_cl.Input("InputImage" + ToString(i));
op_def_cl.Input(MakeString("InputImage", i));
}
op_def_cl.Output("OutputImage")
.AddIntArg("T", static_cast<int>(DataType::DT_HALF))
......
mace/ops/concat_test.cc
浏览文件 @ 751fd049
......@@ -95,7 +95,7 @@ TEST_F(ConcatOpTest, CPURandom) {
OpsTestNet net;
auto builder = OpDefBuilder("Concat", "ConcatTest");
for (int i = 0; i < num_inputs; ++i) {
builder = builder.Input(("Input" + ToString(i)).c_str());
builder = builder.Input(MakeString("Input", i));
}
builder.AddIntArg("axis", axis)
.Output("Output")
......@@ -113,7 +113,7 @@ TEST_F(ConcatOpTest, CPURandom) {
GenerateRandomRealTypeData(input_shapes[i], inputs[i]);
input_ptrs[i] = inputs[i].data();
net.AddInputFromArray<DeviceType::CPU, float>(
("Input" + ToString(i)).c_str(), input_shapes[i], inputs[i]);
MakeString("Input", i), input_shapes[i], inputs[i]);
}
// Run
......@@ -148,8 +148,8 @@ void OpenclRandomTest(const std::vector<std::vector<index_t>> &shapes,
// Construct graph
OpsTestNet net;
for (int i = 0; i < num_inputs; ++i) {
const std::string input_name = ("Input" + ToString(i)).c_str();
const std::string image_name = ("InputImage" + ToString(i)).c_str();
const std::string input_name = MakeString("Input", i);
const std::string image_name = MakeString("InputImage", i);
concat_axis_size += shapes[i][axis];
net.AddRandomInput<DeviceType::OPENCL, float>(input_name, shapes[i]);
BufferToImage<DeviceType::OPENCL, T>(net, input_name, image_name,
......@@ -158,7 +158,7 @@ void OpenclRandomTest(const std::vector<std::vector<index_t>> &shapes,
auto builder = OpDefBuilder("Concat", "ConcatTest");
for (int i = 0; i < num_inputs; ++i) {
const std::string image_name = ("InputImage" + ToString(i)).c_str();
const std::string image_name = MakeString("InputImage", i);
builder = builder.Input(image_name);
}
builder.AddIntArg("axis", axis)
......@@ -188,7 +188,7 @@ void OpenclRandomTest(const std::vector<std::vector<index_t>> &shapes,
std::accumulate(shapes[i].begin() + axis, shapes[i].end(), 1,
std::multiplies<index_t>());
const std::string input_name = ("Input" + ToString(i)).c_str();
const std::string input_name = MakeString("Input", i);
const Tensor *input_tensor = net.GetTensor(input_name.data());
Tensor::MappingGuard input_guard(input_tensor);
const float *input_ptr = input_tensor->data<float>() + k * num_elements;
......
mace/ops/ops_test_util.h
浏览文件 @ 751fd049
......@@ -8,7 +8,6 @@
#include <type_traits>
#include "gtest/gtest.h"
#include "mace/core/common.h"
#include "mace/core/net.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/core/tensor.h"
......@@ -239,9 +238,9 @@ void GenerateRandomIntTypeData(const std::vector<index_t> &shape,
}
template <typename T>
unique_ptr<Tensor> CreateTensor(const std::vector<index_t> &shape,
std::unique_ptr<Tensor> CreateTensor(const std::vector<index_t> &shape,
const std::vector<T> &data) {
unique_ptr<Tensor> res(
std::unique_ptr<Tensor> res(
new Tensor(GetDeviceAllocator(DeviceType::CPU), DataTypeToEnum<T>::v()));
res->Resize(shape);
T *input_data = res->mutable_data<T>();
......
mace/ops/reshape.h
浏览文件 @ 751fd049
......@@ -29,9 +29,9 @@ class ReshapeOp : public Operator<D, T> {
MACE_CHECK(unknown_idx == -1) << "Only one input size may be -1";
unknown_idx = i;
out_shape.push_back(1);
} else if (shape_[i] < 0) {
VLOG(ERROR) << "Shape must be non-negative";
} else {
MACE_CHECK(shape_[i] >= 0) << "Shape must be non-negative: "
<< shape_[i];
out_shape.push_back(shape_[i]);
product *= shape_[i];
}
......
mace/ops/resize_bilinear_test.cc
浏览文件 @ 751fd049
......@@ -21,7 +21,7 @@ TEST_F(ResizeBilinearTest, CPUResizeBilinearWOAlignCorners) {
.Finalize(net.NewOperatorDef());
// Add input data
vector<float> input(24);
std::vector<float> input(24);
std::iota(begin(input), end(input), 0);
net.AddInputFromArray<DeviceType::CPU, float>("Input", {1, 2, 4, 3}, input);
......@@ -46,7 +46,7 @@ TEST_F(ResizeBilinearTest, ResizeBilinearWAlignCorners) {
.Finalize(net.NewOperatorDef());
// Add input data
vector<float> input(24);
std::vector<float> input(24);
std::iota(begin(input), end(input), 0);
net.AddInputFromArray<DeviceType::CPU, float>("Input", {1, 2, 4, 3}, input);
......
mace/ops/space_to_batch_test.cc
浏览文件 @ 751fd049
......@@ -70,7 +70,7 @@ void TestBidirectionalTransform(const std::vector<index_t> &space_shape,
const std::vector<int> &padding_data,
const std::vector<index_t> &batch_shape,
const std::vector<float> &batch_data) {
auto space_tensor = unique_ptr<Tensor>(new Tensor(
auto space_tensor = std::unique_ptr<Tensor>(new Tensor(
GetDeviceAllocator(DeviceType::OPENCL), DataTypeToEnum<T>::v()));
space_tensor->Resize(space_shape);
{
......@@ -82,7 +82,7 @@ void TestBidirectionalTransform(const std::vector<index_t> &space_shape,
memcpy(space_ptr, space_data.data(), space_data.size() * sizeof(T));
}
auto batch_tensor = unique_ptr<Tensor>(new Tensor(
auto batch_tensor = std::unique_ptr<Tensor>(new Tensor(
GetDeviceAllocator(DeviceType::OPENCL), DataTypeToEnum<T>::v()));
batch_tensor->Resize(batch_shape);
{
......@@ -165,7 +165,7 @@ TEST(SpaceToBatchTest, MultiBatchAndChannelData) {
// const int batch_size = std::accumulate(batch_shape.begin(),
// batch_shape.end(), 1, std::multiplies<int>());
//
// auto space_tensor = unique_ptr<Tensor>(new
// auto space_tensor = std::unique_ptr<Tensor>(new
// Tensor(GetDeviceAllocator(DeviceType::OPENCL),
// DataTypeToEnum<float>::v()));
// space_tensor->Resize(space_shape);
......@@ -185,7 +185,7 @@ TEST(SpaceToBatchTest, MultiBatchAndChannelData) {
// VLOG(0) << "open space file failed";
// }
//
// auto batch_tensor = unique_ptr<Tensor>(new
// auto batch_tensor = std::unique_ptr<Tensor>(new
// Tensor(GetDeviceAllocator(DeviceType::OPENCL),
// DataTypeToEnum<float>::v()));
// std::vector<float> batch_data(batch_size, 0.0);
......
mace/public/BUILD 0 → 100644
浏览文件 @ 751fd049
# Description:
# MACE public API.
#
package(
default_visibility = ["//visibility:public"],
)
licenses(["notice"]) # Apache 2.0
load("//mace:mace.bzl", "if_android")
cc_library(
name = "public",
hdrs = [
"mace.h",
],
)
mace/core/public/mace.h → mace/public/mace.h
浏览文件 @ 751fd049
......@@ -4,6 +4,7 @@
#ifndef MACE_CORE_MACE_H_
#define MACE_CORE_MACE_H_
#include <cstdint>
#include <vector>
#include <string>
......@@ -33,6 +34,14 @@ inline const char *MaceVersion() {
extern const char *MaceGitVersion();
// Disable the copy and assignment operator for a class.
#ifndef DISABLE_COPY_AND_ASSIGN
#define DISABLE_COPY_AND_ASSIGN(classname) \
private: \
classname(const classname &) = delete; \
classname &operator=(const classname &) = delete
#endif
enum NetMode {
INIT = 0,
NORMAL = 1
......@@ -379,4 +388,5 @@ class MaceEngine {
};
} // namespace mace
#endif // MACE_CORE_MACE_H_
mace/utils/BUILD
浏览文件 @ 751fd049
......@@ -10,61 +10,64 @@ licenses(["notice"]) # Apache 2.0
load("//mace:mace.bzl", "if_android")
cc_library(
name = "logging",
name = "utils",
srcs = [
"command_line_flags.cc",
"logging.cc",
],
hdrs = [
"command_line_flags.h",
"env_time.h",
"logging.h",
"memory_logging.h",
"string_util.h",
"timer.h",
"tuner.h",
"utils.h",
],
linkopts = if_android([
"-llog",
]),
)
cc_library(
name = "command_line_flags",
srcs = [
"command_line_flags.cc",
],
hdrs = [
"command_line_flags.h",
],
deps = [
":logging",
"//mace/public",
],
)
cc_library(
name = "tuner",
hdrs = [
"timer.h",
"tuner.h",
cc_test(
name = "utils_test",
testonly = 1,
srcs = [
"utils_test.cc",
],
linkopts = if_android([
"-pie",
"-lm",
]),
linkstatic = 1,
deps = [
":logging",
":utils_hdrs",
":utils",
"@gtest//:gtest",
"@gtest//:gtest_main",
],
)
cc_library(
name = "tuner_dev",
name = "utils_dev",
srcs = [
"tuner_development.cc",
],
deps = [
":tuner",
":utils",
],
)
cc_library(
name = "tuner_prod",
name = "utils_prod",
srcs = [
"tuner_production.cc",
],
deps = [
":tuner",
":utils",
"//mace/codegen:generated_tuning_params",
],
)
......@@ -81,44 +84,7 @@ cc_test(
]),
linkstatic = 1,
deps = [
":tuner",
":tuner_dev",
"@gtest//:gtest",
"@gtest//:gtest_main",
],
)
cc_library(
name = "utils_hdrs",
hdrs = [
"env_time.h",
"utils.h",
],
)
cc_library(
name = "utils",
deps = [
":command_line_flags",
":logging",
":tuner",
":utils_hdrs",
],
)
cc_test(
name = "utils_test",
testonly = 1,
srcs = [
"utils_test.cc",
],
linkopts = if_android([
"-pie",
"-lm",
]),
linkstatic = 1,
deps = [
":utils_hdrs",
":utils_dev",
"@gtest//:gtest",
"@gtest//:gtest_main",
],
......
mace/utils/env_time.h
浏览文件 @ 751fd049
......@@ -12,15 +12,12 @@
namespace mace {
namespace utils {
inline int64_t NowMicros() {
struct timeval tv;
gettimeofday(&tv, nullptr);
return static_cast<int64_t>(tv.tv_sec) * 1000000 + tv.tv_usec;
}
} // namespace testing
} // namespace mace
#endif // MACE_UTILS_ENV_TIME_H
mace/utils/logging.cc
浏览文件 @ 751fd049
......@@ -12,7 +12,7 @@
#endif
namespace mace {
namespace internal {
namespace logging {
LogMessage::LogMessage(const char *fname, int line, int severity)
: fname_(fname), line_(line), severity_(severity) {}
......@@ -77,7 +77,7 @@ int64_t LogLevelStrToInt(const char *mace_env_var_val) {
// Ideally we would use env_var / safe_strto64, but it is
// hard to use here without pulling in a lot of dependencies,
// so we use std:istringstream instead
string min_log_level(mace_env_var_val);
std::string min_log_level(mace_env_var_val);
std::istringstream ss(min_log_level);
int64_t level;
if (!(ss >> level)) {
......@@ -120,5 +120,5 @@ LogMessageFatal::~LogMessageFatal() {
abort();
}
} // namespace internal
} // namespace logging
} // namespace mace
mace/utils/logging.h
浏览文件 @ 751fd049
......@@ -10,56 +10,21 @@
#include <string>
#include <vector>
#include "mace/utils/env_time.h"
#include "mace/public/mace.h"
#include "mace/utils/string_util.h"
#undef ERROR
namespace mace {
const int INFO = 0; // base_logging::INFO;
const int WARNING = 1; // base_logging::WARNING;
const int ERROR = 2; // base_logging::ERROR;
const int FATAL = 3; // base_logging::FATAL;
const int NUM_SEVERITIES = 4; // base_logging::NUM_SEVERITIES;
namespace internal {
using std::string;
inline void MakeStringInternal(std::stringstream & /*ss*/) {}
template <typename T>
inline void MakeStringInternal(std::stringstream &ss, const T &t) {
ss << t;
}
template <typename T, typename... Args>
inline void MakeStringInternal(std::stringstream &ss,
const T &t,
const Args &... args) {
MakeStringInternal(ss, t);
MakeStringInternal(ss, args...);
}
template <typename... Args>
string MakeString(const Args &... args) {
std::stringstream ss;
MakeStringInternal(ss, args...);
return ss.str();
}
template <typename T>
string MakeString(const std::vector<T> &args) {
std::stringstream ss;
for (const T &arg : args) {
ss << arg << ", ";
}
return ss.str();
}
// Specializations for already-a-string types.
template <>
inline string MakeString(const string &str) {
return str;
}
inline string MakeString(const char *c_str) { return string(c_str); }
namespace logging {
class LogMessage : public std::basic_ostringstream<char> {
public:
......@@ -89,30 +54,25 @@ class LogMessageFatal : public LogMessage {
};
#define _MACE_LOG_INFO \
::mace::internal::LogMessage(__FILE__, __LINE__, mace::INFO)
::mace::logging::LogMessage(__FILE__, __LINE__, mace::INFO)
#define _MACE_LOG_WARNING \
::mace::internal::LogMessage(__FILE__, __LINE__, mace::WARNING)
::mace::logging::LogMessage(__FILE__, __LINE__, mace::WARNING)
#define _MACE_LOG_ERROR \
::mace::internal::LogMessage(__FILE__, __LINE__, mace::ERROR)
#define _MACE_LOG_FATAL ::mace::internal::LogMessageFatal(__FILE__, __LINE__)
::mace::logging::LogMessage(__FILE__, __LINE__, mace::ERROR)
#define _MACE_LOG_FATAL ::mace::logging::LogMessageFatal(__FILE__, __LINE__)
#define _MACE_LOG_QFATAL _MACE_LOG_FATAL
#define LOG(severity) _MACE_LOG_##severity
#ifdef IS_MOBILE_PLAMACEORM
// Turn VLOG off when under mobile devices for considerations of binary size.
#define VLOG_IS_ON(lvl) ((lvl) <= 0)
#else
// Otherwise, Set MACE_CPP_MIN_VLOG_LEVEL environment to update minimum log
// Set MACE_CPP_MIN_VLOG_LEVEL environment to update minimum log
// level
// of VLOG
#define VLOG_IS_ON(lvl) ((lvl) <= ::mace::internal::LogMessage::MinVLogLevel())
#endif
#define VLOG_IS_ON(lvl) ((lvl) <= ::mace::logging::LogMessage::MinVLogLevel())
#define VLOG(lvl) \
if (VLOG_IS_ON(lvl)) \
::mace::internal::LogMessage(__FILE__, __LINE__, mace::INFO)
::mace::logging::LogMessage(__FILE__, __LINE__, mace::INFO)
// MACE_CHECK/MACE_ASSERT dies with a fatal error if condition is not true.
// MACE_ASSERT is controlled by NDEBUG ('-c opt' for bazel) while MACE_CHECK
......@@ -123,14 +83,12 @@ class LogMessageFatal : public LogMessage {
// which are not correct for MACE_ASSERT.
#define MACE_CHECK(condition, ...) \
if (!(condition)) \
LOG(FATAL) << "Check failed: " #condition " " \
<< ::mace::internal::MakeString(__VA_ARGS__)
LOG(FATAL) << "Check failed: " #condition " " << MakeString(__VA_ARGS__)
#ifndef NDEBUG
#define MACE_ASSERT(condition, ...) \
if (!(condition)) \
LOG(FATAL) << "Assert failed: " #condition " " \
<< ::mace::internal::MakeString(__VA_ARGS__)
LOG(FATAL) << "Assert failed: " #condition " " << MakeString(__VA_ARGS__)
#else
#define MACE_ASSERT(condition, ...) ((void)0)
#endif
......@@ -138,16 +96,46 @@ class LogMessageFatal : public LogMessage {
template <typename T>
T &&CheckNotNull(const char *file, int line, const char *exprtext, T &&t) {
if (t == nullptr) {
LogMessageFatal(file, line) << string(exprtext);
LogMessageFatal(file, line) << std::string(exprtext);
}
return std::forward<T>(t);
}
#define MACE_CHECK_NOTNULL(val) \
::mace::internal::CheckNotNull(__FILE__, __LINE__, \
::mace::logging::CheckNotNull(__FILE__, __LINE__, \
"'" #val "' Must be non NULL", (val))
} // namespace internal
#define MACE_NOT_IMPLEMENTED MACE_CHECK(false, "not implemented")
class LatencyLogger {
public:
LatencyLogger(int vlog_level, const std::string &message)
: vlog_level_(vlog_level), message_(message) {
if (VLOG_IS_ON(vlog_level_)) {
start_micros_ = NowMicros();
}
}
~LatencyLogger() {
if (VLOG_IS_ON(vlog_level_)) {
int64_t stop_micros = NowMicros();
VLOG(vlog_level_) << message_
<< " latency: " << stop_micros - start_micros_ << " us";
}
};
private:
const int vlog_level_;
const std::string message_;
int64_t start_micros_;
DISABLE_COPY_AND_ASSIGN(LatencyLogger);
};
#define MACE_LATENCY_LOGGER(vlog_level, ...) \
mace::logging::LatencyLogger latency_logger_##__line__( \
vlog_level, VLOG_IS_ON(vlog_level) ? MakeString(__VA_ARGS__) : "")
} // namespace logging
} // namespace mace
#endif // MACE_UTILS_LOGGING_H_
mace/utils/string_util.h 0 → 100644
浏览文件 @ 751fd049
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#ifndef MACE_UTILS_STRING_UTIL_H_
#define MACE_UTILS_STRING_UTIL_H_
#include <sstream>
#include <string>
#include <vector>
namespace mace {
namespace {
inline void MakeStringInternal(std::stringstream & /*ss*/) {}
template <typename T>
inline void MakeStringInternal(std::stringstream &ss, const T &t) {
ss << t;
}
template <typename T, typename... Args>
inline void MakeStringInternal(std::stringstream &ss,
const T &t,
const Args &... args) {
MakeStringInternal(ss, t);
MakeStringInternal(ss, args...);
}
} // namespace
template <typename... Args>
std::string MakeString(const Args &... args) {
std::stringstream ss;
MakeStringInternal(ss, args...);
return ss.str();
}
template <typename T>
std::string MakeString(const std::vector<T> &args) {
std::stringstream ss;
ss << "[";
const size_t size = args.size();
for (int i = 0; i < size; ++i) {
ss << args[i];
if (i < size - 1) {
ss << ", ";
}
}
ss << "]";
return ss.str();
}
// Specializations for already-a-string types.
template <>
inline std::string MakeString(const std::string &str) {
return str;
}
inline std::string MakeString(const char *c_str) { return std::string(c_str); }
} // namespace mace
#endif // MACE_UTILS_STRING_UTIL_H_
mace/utils/timer.h
浏览文件 @ 751fd049
......@@ -6,6 +6,7 @@
#define MACE_UTILS_TIMER_H_
#include "mace/utils/env_time.h"
#include "mace/utils/logging.h"
namespace mace {
......@@ -24,11 +25,11 @@ class WallClockTimer : public Timer {
WallClockTimer() : accumulated_micros_(0) {}
void StartTiming() override {
start_micros_ = mace::utils::NowMicros();
start_micros_ = NowMicros();
}
void StopTiming() override {
stop_micros_ = mace::utils::NowMicros();
stop_micros_ = NowMicros();
}
void AccumulateTiming() override {
......@@ -54,6 +55,8 @@ class WallClockTimer : public Timer {
double start_micros_;
double stop_micros_;
double accumulated_micros_;
DISABLE_COPY_AND_ASSIGN(WallClockTimer);
};
} // namespace mace
......
mace/utils/tuner.h
浏览文件 @ 751fd049
......@@ -51,15 +51,15 @@ class Tuner {
// tune
std::vector<param_type> opt_param = default_param;
RetType res = Tune<RetType>(param_generator, func, timer, &opt_param);
VLOG(1) << "Tuning result. "
<< param_key << ": " << internal::MakeString(opt_param);
VLOG(3) << "Tuning result. "
<< param_key << ": " << MakeString(opt_param);
param_table_[obfucated_param_key] = opt_param;
return res;
} else {
// run
if (param_table_.find(obfucated_param_key) != param_table_.end()) {
VLOG(1) << param_key << ": "
<< internal::MakeString(param_table_[obfucated_param_key]);
VLOG(3) << param_key << ": "
<< MakeString(param_table_[obfucated_param_key]);
return func(param_table_[obfucated_param_key], nullptr, nullptr);
} else {
#ifndef MACE_DISABLE_NO_TUNING_WARNING
......@@ -82,7 +82,7 @@ class Tuner {
Tuner &operator=(const Tuner &) = delete;
inline void WriteRunParameters() {
VLOG(1) << path_;
VLOG(3) << path_;
if (path_ != nullptr) {
std::ofstream ofs(path_, std::ios::binary | std::ios::out);
if (ofs.is_open()) {
......@@ -92,7 +92,7 @@ class Tuner {
int32_t key_size = kp.first.size();
ofs.write(reinterpret_cast<char *>(&key_size), sizeof(key_size));
ofs.write(kp.first.c_str(), key_size);
VLOG(1) << "Write tuning param: " << kp.first.c_str();
VLOG(3) << "Write tuning param: " << kp.first.c_str();
auto &params = kp.second;
int32_t params_size = params.size() * sizeof(param_type);
......@@ -100,7 +100,7 @@ class Tuner {
sizeof(params_size));
for (auto &param : params) {
ofs.write(reinterpret_cast<char *>(&param), sizeof(params_size));
VLOG(1) << param;
VLOG(3) << param;
}
}
ofs.close();
......
mace/utils/utils.h
浏览文件 @ 751fd049
......@@ -40,19 +40,6 @@ Integer CeilQuotient(Integer a, Integer b) {
return (a + b - 1) / b;
}
inline int64_t NowInMicroSec() {
struct timeval tv;
gettimeofday(&tv, nullptr);
return static_cast<int64_t>(tv.tv_sec * 1000000 + tv.tv_usec);
}
template <typename T>
inline std::string ToString(T v) {
std::ostringstream ss;
ss << v;
return ss.str();
}
inline std::string ObfuscateString(const std::string &src,
const std::string &lookup_table) {
std::string dest;
......
tools/export_lib.sh
浏览文件 @ 751fd049
......@@ -39,18 +39,18 @@ libmace_targets=(
"//mace/kernels:kernels"
"//mace/codegen:generated_version"
"//mace/core:core"
"//mace/utils:logging"
"//mace/utils:utils"
)
libmace_dev_targets=(
"//mace/codegen:generated_opencl_dev"
"//mace/core:opencl_dev"
"//mace/utils:tuner_dev"
"//mace/utils:utils_dev"
)
libmace_prod_targets=(
"//mace/core:opencl_prod"
"//mace/utils:tuner_prod"
"//mace/utils:utils_prod"
)
all_targets=(${libmace_targets[*]} ${libmace_dev_targets[*]} ${libmace_prod_targets[*]})
......@@ -155,11 +155,14 @@ merge_libs "libmace_prod" "${libmace_prod_targets[*]}"
echo "Step 5: Export lib"
rm -rf ${EXPORT_INCLUDE_DIR}
mkdir -p ${EXPORT_INCLUDE_DIR}/mace/core/public
mkdir -p ${EXPORT_INCLUDE_DIR}/mace/public
mkdir -p ${EXPORT_INCLUDE_DIR}/mace/utils
rm -rf ${EXPORT_LIB_DIR}
mkdir -p ${EXPORT_LIB_DIR}
cp ${MACE_SOURCE_DIR}/mace/core/public/* ${EXPORT_INCLUDE_DIR}/mace/core/public || exit 1
cp ${MACE_SOURCE_DIR}/mace/public/*.h ${EXPORT_INCLUDE_DIR}/mace/public/ || exit 1
# utils is noti part of public API
cp ${MACE_SOURCE_DIR}/mace/utils/*.h ${EXPORT_INCLUDE_DIR}/mace/utils/ || exit 1
cp ${LIBMACE_TEMP_DIR}/libmace.a ${LIBMACE_TEMP_DIR}/libmace_dev.a ${LIBMACE_TEMP_DIR}/libmace_prod.a ${EXPORT_LIB_DIR}/ || exit 1
echo "Step 6: Remove temporary file"
......
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