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unify infer and train compile binary

This commit is contained in:
xiao_yao1994 2022-01-13 14:23:05 +08:00
parent d1ca2fdae0
commit 54fc038f0a
11 changed files with 30 additions and 69 deletions
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7
cmake/options.cmake
View File

@ -2,7 +2,6 @@ option(ENABLE_D "Enable d" OFF)
option(ENABLE_GPU "Enable gpu" OFF)
option(ENABLE_CPU "Enable cpu" OFF)
option(ENABLE_MINDDATA "Enable minddata compile" OFF)
option(ENABLE_TRAIN "Enable ge train, default off(only infer)" OFF)
option(ENABLE_TESTCASES "Run testcases switch, default off" OFF)
option(ENABLE_CPP_ST "Run cpp st testcases switch, default off" OFF)
option(DEBUG_MODE "Debug mode, default off" OFF)
@ -95,12 +94,6 @@ if(ENABLE_D)
add_compile_definitions(CUSTOM_OP)
endif()
if(ENABLE_TRAIN)
add_compile_definitions(ENABLE_TRAIN=1)
else()
add_compile_definitions(ENABLE_TRAIN=0)
endif()
if(USE_GLOG)
add_compile_definitions(USE_GLOG)
endif()

6
mindspore/ccsrc/cxx_api/model/acl/model_converter.cc
View File

@ -49,11 +49,7 @@ bool CreateSessionAndGraphRunner() {
options["ge.trainFlag"] = "0";
options["ge.enablePrintOpPass"] = "0";
sess = transform::GraphRunner::NewSession(options);
if (sess == nullptr) {
MS_LOG(WARNING) << "Init data graph failed, because of create Ge session failed";
} else {
transform::DfGraphManager::GetInstance().SetGeSession(sess);
}
transform::DfGraphManager::GetInstance().SetGeSession(sess);
}
transform::GraphRunnerOptions options;

38
mindspore/ccsrc/pipeline/jit/pipeline_ge.cc
View File

@ -21,6 +21,7 @@
#include <cstdlib>
#include <algorithm>
#include "utils/config_manager.h"
#include "utils/hash_map.h"
#include "debug/anf_ir_dump.h"
#include "ir/tensor.h"
@ -129,13 +130,14 @@ bool InitExecDatasetGe(const std::string &queue_name, int64_t size, int64_t batc
return false;
}
#if ENABLE_TRAIN
(void)setenv("GE_TRAIN", "1", 1);
#else
(void)setenv("GE_TRAIN", "0", 1);
#endif
auto training = ConfigManager::GetInstance().training();
if (training) {
(void)setenv("GE_TRAIN", "1", 1);
} else {
(void)setenv("GE_TRAIN", "0", 1);
}
if (CreateSessionAndGraphRunner(static_cast<bool>(ENABLE_TRAIN)) != Status::SUCCESS) {
if (CreateSessionAndGraphRunner(training) != Status::SUCCESS) {
MS_LOG(ERROR) << "Create GE Session or GraphRunner failed.";
return false;
}
@ -244,6 +246,7 @@ FuncGraphPtr BuildDFGraph(const std::map<std::string, ExecutorInfoPtr> &info, co
MS_LOG(EXCEPTION) << "No phase in executor:" << GetPhasePrefix(phase);
}
FuncGraphPtr anf_graph = info.at(phase)->func_graph;
ConfigManager::GetInstance().set_training(anf_graph->has_flag("training"));
#ifdef ENABLE_DUMP_IR
if (MsContext::GetInstance()->get_param<bool>(MS_CTX_SAVE_GRAPHS_FLAG)) {
draw::Draw("anf_graph.dot", anf_graph); // for debug
@ -256,13 +259,14 @@ FuncGraphPtr BuildDFGraph(const std::map<std::string, ExecutorInfoPtr> &info, co
return nullptr;
}
#if ENABLE_TRAIN
(void)setenv("GE_TRAIN", "1", 1);
#else
(void)setenv("GE_TRAIN", "0", 1);
#endif
auto training = ConfigManager::GetInstance().training();
if (training) {
(void)setenv("GE_TRAIN", "1", 1);
} else {
(void)setenv("GE_TRAIN", "0", 1);
}
if (CreateSessionAndGraphRunner(static_cast<bool>(ENABLE_TRAIN)) != Status::SUCCESS) {
if (CreateSessionAndGraphRunner(training) != Status::SUCCESS) {
MS_LOG(ERROR) << "Create GE Session or GraphRunner failed.";
return nullptr;
}
@ -489,16 +493,6 @@ py::object ExecDFGraph(const std::map<std::string, ExecutorInfoPtr> &info, const
}
FuncGraphPtr anf_graph = info.at(phase)->func_graph;
#ifdef ENABLE_INFER
// Now don't use the graph because the exec ge function don't take effect
MS_EXCEPTION_IF_NULL(info.at(phase)->func_graph);
if (ENABLE_TRAIN != info.at(phase)->func_graph->has_flag("training")) {
MS_LOG(ERROR) << "Graph training mode mismatch mode of libraries";
ConfigManager::GetInstance().ResetConfig();
return py::none();
}
#endif
std::shared_ptr<py::object> ret_val = std::make_shared<py::object>();
// We will not execute graph when output is constant or just input itself.
if (IsGraphOutputValueNodeOrParameter(info.at(phase)->func_graph->output(), args, ret_val)) {

10
mindspore/ccsrc/transform/graph_ir/convert.h
View File

@ -29,6 +29,7 @@
#include <fstream>
#include <sstream>
#include "utils/config_manager.h"
#include "utils/hash_map.h"
#include "utils/ms_context.h"
#include "ir/anf.h"
@ -36,7 +37,6 @@
#include "transform/graph_ir/util.h"
#include "ir/tensor.h"
#include "transform/graph_ir/df_graph_manager.h"
#include "utils/config_manager.h"
#include "transform/graph_ir/op_adapter.h"
#include "graph/operator_reg.h"
#ifdef OPEN_SOURCE
@ -56,15 +56,7 @@ class DfGraphConvertor {
explicit DfGraphConvertor(const AnfGraphPtr &anf_graph) : anf_graph_(anf_graph) {
MS_EXCEPTION_IF_NULL(anf_graph);
df_graph_ = std::make_shared<DfGraph>(anf_graph_->ToString());
#if (defined ENABLE_D) && (!defined ENABLE_INFER)
auto ms_context = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(ms_context);
if (ms_context->backend_policy() == "ge") {
training_ = ENABLE_TRAIN;
}
#else
training_ = anf_graph->has_flag("training");
#endif
distribute_ = anf_graph->has_flag("broadcast_flag");
if (anf_graph->has_flag("broadcast_flag")) {
ConfigManager::GetInstance().set_parallel_strategy(ParallelStrategy::DISTRIBUTION);

5
mindspore/ccsrc/utils/config_manager.h
View File

@ -117,6 +117,10 @@ class ConfigManager {
void set_gpu_loopsink_size(const int64_t size) { gpu_loopsink_size_ = size; }
bool training() const { return training_; }
void set_training(const bool training) { training_ = training; }
private:
ConfigManager() = default;
~ConfigManager() = default;
@ -130,6 +134,7 @@ class ConfigManager {
std::map<std::string, int16_t> queue_info_map;
std::string dataset_phase_{""};
int64_t gpu_loopsink_size_{1};
bool training_{false};
};
} // namespace mindspore

8
mindspore/ccsrc/utils/context/context_extends.cc
View File

@ -20,6 +20,7 @@
#include <memory>
#include <thread>
#include "pybind11/pybind11.h"
#include "utils/config_manager.h"
#include "utils/ms_utils.h"
#include "utils/convert_utils_base.h"
#ifndef NO_DLIB
@ -194,9 +195,10 @@ void GetGeOptions(const std::shared_ptr<MsContext> &ms_context_ptr, std::map<std
(*ge_options)["ge.variableMemoryMaxSize"] = ms_context_ptr->get_param<std::string>(MS_CTX_VARIABLE_MEMORY_MAX_SIZE);
}
#if ENABLE_TRAIN == 1
(*ge_options)["ge.graphRunMode"] = "1";
#endif
if (ConfigManager::GetInstance().training()) {
(*ge_options)["ge.graphRunMode"] = "1";
}
SetDisableReuseMemoryFlag(ge_options);
SetHcclOptions(ms_context_ptr, ge_options);

3
scripts/build/build_mindspore.sh
View File

@ -35,9 +35,6 @@ build_mindspore()
if [[ -n "$ENABLE_BACKEND" ]]; then
CMAKE_ARGS="${CMAKE_ARGS} -DENABLE_${ENABLE_BACKEND}=ON"
fi
if [[ -n "$TRAIN_MODE" ]]; then
CMAKE_ARGS="${CMAKE_ARGS} -DENABLE_${TRAIN_MODE}=ON"
fi
if [[ "X$ENABLE_SYM_FILE" = "Xon" ]]; then
CMAKE_ARGS="${CMAKE_ARGS} -DENABLE_SYM_FILE=ON"
fi

1
scripts/build/default_options.sh
View File

@ -29,7 +29,6 @@ init_default_options()
export RUN_TESTCASES="off"
export RUN_CPP_ST_TESTS="off"
export ENABLE_BACKEND=""
export TRAIN_MODE="INFER"
export ENABLE_ASAN="off"
export ENABLE_PROFILE="off"
export INC_BUILD="off"

10
scripts/build/option_proc_mindspore.sh
View File

@ -35,16 +35,6 @@ build_option_proc_l()
export ENABLE_PYTHON="$OPTARG"
}
build_option_proc_m()
{
if [[ "X$OPTARG" != "Xinfer" && "X$OPTARG" != "Xtrain" ]]; then
echo "Invalid value ${OPTARG} for option -m"
usage
exit 1
fi
export TRAIN_MODE=$(echo "$OPTARG" | tr '[a-z]' '[A-Z]')
}
build_option_proc_s()
{
check_on_off $OPTARG s

4
scripts/build/process_options.sh
View File

@ -20,7 +20,7 @@ set -e
process_options()
{
# Process the options
while getopts 'drvj:c:t:hb:s:a:g:p:ie:m:l:I:RP:D:zM:V:K:B:En:A:S:k:W:F:H:L:y' opt
while getopts 'drvj:c:t:hb:s:a:g:p:ie:l:I:RP:D:zM:V:K:B:En:A:S:k:W:F:H:L:y' opt
do
CASE_SENSIVE_ARG=${OPTARG}
OPTARG=$(echo ${OPTARG} | tr '[A-Z]' '[a-z]')
@ -55,8 +55,6 @@ process_options()
build_option_proc_l ;;
i)
export INC_BUILD="on" ;;
m)
build_option_proc_m ;;
s)
build_option_proc_s ;;
R)

7
tests/ut/cpp/CMakeLists.txt
View File

@ -260,12 +260,7 @@ if(MINDSPORE_PROTO_LIST)
endif()
if(ENABLE_D)
if(ENABLE_TRAIN)
target_link_libraries(ut_tests PRIVATE graph ge_runner)
else()
target_link_libraries(ut_tests PRIVATE graph ge_client)
endif()
target_link_libraries(ut_tests PRIVATE graph ge_runner ge_client)
target_link_libraries(mindspore PRIVATE tsdclient)
endif()