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upgrade_ascend_0626_mindspore

This commit is contained in:
dingpeifei 2021-06-26 17:54:44 +08:00 committed by zhoufeng
parent da7df61924
commit 63784e49f5
36 changed files with 305 additions and 19 deletions
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10
cmake/external_libs/protobuf.cmake
View File

@ -25,15 +25,15 @@ string(REPLACE " -Wall" "" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
string(REPLACE " -Werror" "" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
if(ENABLE_GITEE)
set(REQ_URL "https://gitee.com/mirrors/protobuf_source/repository/archive/v3.8.0.tar.gz")
set(MD5 "eba86ae9f07ba5cfbaf8af3bc4e84236")
set(REQ_URL "https://gitee.com/mirrors/protobuf_source/repository/archive/v3.13.0.tar.gz")
set(MD5 "f4489cb88922ad9c58cb3308d59cee5")
else()
set(REQ_URL "https://github.com/protocolbuffers/protobuf/archive/v3.8.0.tar.gz")
set(MD5 "3d9e32700639618a4d2d342c99d4507a")
set(REQ_URL "https://github.com/protocolbuffers/protobuf/archive/v3.13.0.tar.gz")
set(MD5 "1a6274bc4a65b55a6fa70e264d796490")
endif()
mindspore_add_pkg(protobuf
VER 3.8.0
VER 3.13.0
LIBS protobuf
EXE protoc
URL ${REQ_URL}

2
graphengine

@ -1 +1 @@
Subproject commit 2d5ad3a72e5fefa3857eb9443083cd1117fd49a7
Subproject commit b4b7c454e6041e864cdc2cc0fb5e61d3b5223c30

3
mindspore/ccsrc/CMakeLists.txt
View File

@ -293,6 +293,7 @@ if(MODE_ASCEND_ALL)
find_library(ACL ascendcl ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
find_library(PLATFORM platform ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
find_library(OPTILING optiling ${ASCEND_OPP_PATH} ${ASCEND_TOOLKIT_OPP_PATH})
find_library(OPT_FEATURE opt_feature ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
add_library(ms_profile SHARED
${CMAKE_CURRENT_SOURCE_DIR}/runtime/device/ascend/profiling/profiling_callback_register.cc)
@ -301,7 +302,7 @@ if(MODE_ASCEND_ALL)
target_link_libraries(ms_profile -Wl,--start-group -Wl,--whole-archive ${PROFILING} -Wl,--no-whole-archive
mindspore::protobuf -Wl,--end-group)
target_link_libraries(mindspore ${RUNTIME_LIB} ${TSDCLIENT} ${DATATRANSFER} -Wl,--no-as-needed ${OPTILING}
${PLATFORM} ${ACL})
${PLATFORM} ${ACL} ${OPT_FEATURE})
target_link_libraries(mindspore -Wl,--start-group proto_input mindspore::protobuf -Wl,--end-group)
elseif(CMAKE_SYSTEM_NAME MATCHES "Windows")
target_link_libraries(mindspore -Wl,--start-group proto_input mindspore::protobuf mindspore::sentencepiece

3
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/batchmatmul_fusedmuladd_fusion_pass.cc
View File

@ -46,6 +46,9 @@ void BatchMatmulFusedMulAddFusionPass::MatchBatchMatmulFusedMulAdd(const CNodePt
void BatchMatmulFusedMulAddFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
MS_EXCEPTION_IF_NULL(candidate_fusion);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::BatchMatmulFusedMulAddFusionPass)) {
return;
}
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
for (auto &node : node_list) {
if (!AnfAlgo::IsRealCNodeKernel(node) || fusion_id_allocator->HasFusionIdAttr(node) ||

3
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/bnupdate_eltwise_eltwise_fusion_pass.cc
View File

@ -69,6 +69,9 @@ void BnupdateEltwiseEltwiseFusionPass::MatchBnupdateAddRelu(const CNodePtr &cnod
void BnupdateEltwiseEltwiseFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::BnupdateEltwiseEltwiseFusionPass)) {
return;
}
MS_EXCEPTION_IF_NULL(candidate_fusion);
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
for (auto &node : node_list) {

3
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/bnupdate_eltwise_fusion_pass.cc
View File

@ -48,6 +48,9 @@ void BnupdateEltwiseFusionPass::MatchBnupdateDoubleOutputEltwise(const CNodePtr
void BnupdateEltwiseFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::BnupdateEltwiseFusionPass)) {
return;
}
MS_EXCEPTION_IF_NULL(candidate_fusion);
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
for (auto &node : node_list) {

3
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/conv2dbackprop_eltwise_eltwise_fusion_pass.cc
View File

@ -69,6 +69,9 @@ void Conv2DBackpropEltwiseEltwiseFusionPass::MatchConv2DBackpropInputEltwiseEltw
void Conv2DBackpropEltwiseEltwiseFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::Conv2DBackpropEltwiseFusionPass)) {
return;
}
MS_EXCEPTION_IF_NULL(candidate_fusion);
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
for (auto &node : node_list) {

3
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/conv2dbackprop_eltwise_fusion_pass.cc
View File

@ -47,6 +47,9 @@ void Conv2DBackpropEltwiseFusionPass::MatchConv2DBackpropInputEltwise(const CNod
void Conv2DBackpropEltwiseFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::Conv2DBackpropEltwiseFusionPass)) {
return;
}
MS_EXCEPTION_IF_NULL(candidate_fusion);
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
for (auto &node : node_list) {

3
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/conv_bnreduce_fusion_pass.cc
View File

@ -45,6 +45,9 @@ void ConvBnReduceFusionPass::MatchConvBnreduce(const CNodePtr &cnode, const sess
void ConvBnReduceFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::ConvBnReduceFusionPass)) {
return;
}
MS_EXCEPTION_IF_NULL(candidate_fusion);
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
for (auto &node : node_list) {

3
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/eltwise_fusion_pass.cc
View File

@ -55,6 +55,9 @@ void EltwiseFusionPass::MatchEltwise(const CNodePtr &cnode, const session::Kerne
void EltwiseFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
MS_EXCEPTION_IF_NULL(candidate_fusion);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::EltwiseFusionPass)) {
return;
}
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
std::reverse(node_list.begin(), node_list.end());
for (auto &node : node_list) {

1
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/fusion_base_pass.h
View File

@ -26,6 +26,7 @@
#include "runtime/device/kernel_info.h"
#include "backend/kernel_compiler/kernel.h"
#include "backend/session/kernel_graph.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {

5
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/matmul_eltwise_fusion_pass.cc
View File

@ -44,6 +44,11 @@ void MatmulEltwiseFusionPass::MatchMatmulEltwise(const CNodePtr &cnode, const An
void MatmulEltwiseFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
MS_EXCEPTION_IF_NULL(candidate_fusion);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::MatmulEltwiseFusionPass)) {
return;
}
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
for (auto &node : node_list) {
if (!AnfAlgo::IsRealCNodeKernel(node) || fusion_id_allocator->HasFusionIdAttr(node) ||

4
mindspore/ccsrc/backend/optimizer/ascend/buffer_fusion/multi_output_fusion_pass.cc
View File

@ -23,6 +23,7 @@
#include "base/core_ops.h"
#include "utils/ms_context.h"
#include "backend/optimizer/common/fusion_id_allocator.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -62,6 +63,9 @@ void MultiOutputFusionPass::MatchMultiOutputEltwise(const CNodePtr &cnode, const
void MultiOutputFusionPass::MatchSingleFusionPattern(const session::KernelGraph &kernel_graph,
FusedNodeRecord *candidate_fusion) {
MS_EXCEPTION_IF_NULL(candidate_fusion);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::MultiOutputFusionPass)) {
return;
}
std::vector<AnfNodePtr> node_list = TopoSort(kernel_graph.get_return());
std::reverse(node_list.begin(), node_list.end());
for (auto &node : node_list) {

6
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/clip_by_norm_no_div_square_sum_fusion.cc
View File

@ -21,6 +21,7 @@
#include "backend/session/anf_runtime_algorithm.h"
#include "ir/primitive.h"
#include "utils/utils.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -44,6 +45,11 @@ const AnfNodePtr ClipByNormNoDivSquareSumFusion::Process(const FuncGraphPtr &gra
MS_EXCEPTION_IF_NULL(graph);
MS_EXCEPTION_IF_NULL(node);
MS_EXCEPTION_IF_NULL(equiv);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::ClipByNormNoDivSquareSumFusion)) {
return node;
}
BaseRef &input_gnode = (*equiv)[input_];
BaseRef &constant_select_gnode = (*equiv)[constant_select_];
BaseRef &constant_greater_gnode = (*equiv)[constant_greater_];

6
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/derelu_fusion.cc
View File

@ -22,6 +22,7 @@
#include "utils/utils.h"
#include "abstract/abstract_value.h"
#include "backend/optimizer/common/helper.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -105,6 +106,11 @@ const BaseRef DereluFusion::DefinePattern() const {
const AnfNodePtr DereluFusion::Process(const FuncGraphPtr &graph, const AnfNodePtr &node, const EquivPtr &) const {
MS_EXCEPTION_IF_NULL(graph);
MS_EXCEPTION_IF_NULL(node);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::DereluFusion)) {
return node;
}
auto relu_grad = node->cast<CNodePtr>();
MS_EXCEPTION_IF_NULL(relu_grad);
auto relu = GetRelu(relu_grad);

6
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/fused_batch_norm_fusion.cc
View File

@ -20,6 +20,7 @@
#include "backend/session/anf_runtime_algorithm.h"
#include "utils/utils.h"
#include "utils/trace_base.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -193,6 +194,11 @@ const AnfNodePtr FusedBatchNormFusion::Process(const FuncGraphPtr &func_graph, c
MS_EXCEPTION_IF_NULL(func_graph);
MS_EXCEPTION_IF_NULL(equiv);
MS_EXCEPTION_IF_NULL(node);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::FusedBatchNormFusion)) {
return node;
}
AnfNodePtr bn_training_reduce = CreateBNTrainingReduce(func_graph, node, equiv);
std::vector<AnfNodePtr> bn_training_reduce_outputs;
CreateMultipleOutputsOfAnfNode(func_graph, bn_training_reduce, kBNTrainingReduceOutputNum,

5
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/matmul_biasadd_fusion.cc
View File

@ -19,6 +19,8 @@
#include "backend/session/anf_runtime_algorithm.h"
#include "utils/utils.h"
#include "utils/trace_base.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
const BaseRef MatmulBiasaddFusion::DefinePattern() const {
@ -31,6 +33,9 @@ const AnfNodePtr MatmulBiasaddFusion::Process(const FuncGraphPtr &graph, const A
const EquivPtr &equiv) const {
MS_EXCEPTION_IF_NULL(node);
MS_EXCEPTION_IF_NULL(graph);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::MatmulBiasaddFusion)) {
return node;
}
auto matmul = GetAnfNodeByVar(equiv, matmul_var_);
if (matmul == nullptr || !matmul->isa<CNode>()) {

6
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/momentum_lossscale_fusion.cc
View File

@ -19,6 +19,7 @@
#include <string>
#include "backend/optimizer/common/helper.h"
#include "backend/session/anf_runtime_algorithm.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -52,6 +53,11 @@ const AnfNodePtr MomentumLossscaleFusion::Process(const FuncGraphPtr &func_graph
const EquivPtr &) const {
MS_EXCEPTION_IF_NULL(func_graph);
MS_EXCEPTION_IF_NULL(node);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::MomentumLossscaleFusion)) {
return node;
}
auto cnode = node->cast<CNodePtr>();
MS_EXCEPTION_IF_NULL(cnode);
CheckCNodeInputSize(cnode, kApplyMomentumInputTensorNum);

6
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/mul_add_fusion.cc
View File

@ -21,6 +21,7 @@
#include "backend/session/anf_runtime_algorithm.h"
#include "frontend/optimizer/opt.h"
#include "backend/optimizer/common/helper.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -70,6 +71,11 @@ const AnfNodePtr MulAddFusion::Process(const FuncGraphPtr &graph, const AnfNodeP
if (add == nullptr || AnfAlgo::GetInputTensorNum(add) != kAddInputTensorNum) {
return nullptr;
}
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::MulAddFusion)) {
return node;
}
CNodePtr mul = nullptr;
size_t mul_index = 0;
if (!GetMul(graph, add, &mul, &mul_index) || mul == nullptr || mul_index == 0) {

6
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/reshape_transpose_fusion.cc
View File

@ -20,6 +20,7 @@
#include "utils/utils.h"
#include "backend/optimizer/common/helper.h"
#include "base/core_ops.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -66,6 +67,11 @@ const AnfNodePtr ReshapeTransposeFusion::Process(const FuncGraphPtr &func_graph,
if (!CheckShapeDimInfo(reshape_input0_shape) || !CheckShapeDimInfo(transpose_output0_shape)) {
return nullptr;
}
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::ReshapeTransposeFusion)) {
return node;
}
auto prim = std::make_shared<Primitive>(kConfusionTransposeDOpName);
std::vector<AnfNodePtr> inputs = {NewValueNode(prim), utils::cast<AnfNodePtr>((*equiv)[input_varptr_])};
auto new_node = func_graph->NewCNode(inputs);

6
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/softmax_grad_ext_fusion.cc
View File

@ -19,6 +19,7 @@
#include "ir/primitive.h"
#include "utils/utils.h"
#include "backend/optimizer/common/helper.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -54,6 +55,11 @@ const AnfNodePtr SoftmaxGradExtFusion::Process(const FuncGraphPtr &graph, const
MS_EXCEPTION_IF_NULL(graph);
MS_EXCEPTION_IF_NULL(equiv);
MS_EXCEPTION_IF_NULL(node);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::SoftmaxGradExtFusion)) {
return node;
}
auto input0 = GetAnfNodeByVar(equiv, input0_);
auto input1 = GetAnfNodeByVar(equiv, input1_);
auto input2 = GetAnfNodeByVar(equiv, input2_);

7
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/square_sum_fusion.cc
View File

@ -26,6 +26,8 @@
#include "backend/optimizer/common/helper.h"
#include "runtime/device/kernel_info.h"
#include "utils/trace_base.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
namespace {
@ -97,6 +99,11 @@ const BaseRef SquareSumFusion::DefinePattern() const {
const AnfNodePtr SquareSumFusion::Process(const FuncGraphPtr &graph, const AnfNodePtr &node, const EquivPtr &) const {
MS_EXCEPTION_IF_NULL(graph);
MS_EXCEPTION_IF_NULL(node);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::SquareSumFusion)) {
return node;
}
CNodePtr sum = nullptr;
AnfNodePtr square_anf = nullptr;
CNodePtr square = nullptr;

6
mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/transpose_reshape_fusion.cc
View File

@ -20,6 +20,7 @@
#include "utils/utils.h"
#include "backend/optimizer/common/helper.h"
#include "base/core_ops.h"
#include "runtime/device/ascend/lic_manager.h"
namespace mindspore {
namespace opt {
@ -48,6 +49,11 @@ const AnfNodePtr TransposeReshapeFusion::Process(const FuncGraphPtr &func_graph,
const EquivPtr &equiv) const {
MS_EXCEPTION_IF_NULL(func_graph);
MS_EXCEPTION_IF_NULL(equiv);
if (!LicManager::GetInstance().GetPassSwitch(OptPassEnum::TransposeReshapeFusion)) {
return node;
}
auto reshape_cnode = CheckAnfNodeIfCNodeAndInputSize(node, kBackendReshapeInputTensorNum);
MS_EXCEPTION_IF_NULL(reshape_cnode);
auto transpose_cnode = CheckAnfNodeIfCNodeAndInputSize(reshape_cnode->input(1), kBackendReshapeInputTensorNum);

7
mindspore/ccsrc/cxx_api/CMakeLists.txt
View File

@ -51,14 +51,15 @@ set_target_properties(mindspore_shared_lib PROPERTIES OUTPUT_NAME mindspore)
if(CMAKE_SYSTEM_NAME MATCHES "Darwin")
target_link_libraries(mindspore_shared_lib PRIVATE ${PYTHON_LIBRARIES} ${SECUREC_LIBRARY}
-Wl,-force_load mindspore -Wl,-noall_load proto_input mindspore_gvar mindspore::protobuf)
-Wl,-force_load mindspore -Wl,-noall_load mindspore_core proto_input mindspore_gvar mindspore::protobuf)
else()
if(ENABLE_D OR ENABLE_GPU)
target_link_libraries(mindspore_shared_lib PRIVATE -Wl,--as-needed ${PYTHON_LIBRARIES} ${SECUREC_LIBRARY}
-Wl,--whole-archive mindspore -Wl,--no-whole-archive proto_input mindspore_gvar mindspore::protobuf)
-Wl,--whole-archive mindspore -Wl,--no-whole-archive mindspore_core proto_input mindspore_gvar
mindspore::protobuf)
else()
target_link_libraries(mindspore_shared_lib PRIVATE ${PYTHON_LIBRARIES} ${SECUREC_LIBRARY}
mindspore proto_input mindspore_gvar mindspore::protobuf)
mindspore mindspore_core proto_input mindspore_gvar mindspore::protobuf)
endif()
endif()

2
mindspore/ccsrc/debug/data_dump/dump_json_parser.cc
View File

@ -174,7 +174,7 @@ void DumpJsonParser::CopyMSCfgJsonToDir(uint32_t rank_id) {
auto context = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context);
ms_info["device_target"] = context->get_param<std::string>(MS_CTX_DEVICE_TARGET);
ms_info["ms_version"] = "1.2.0";
ms_info["ms_version"] = "1.3.0";
const std::string file_path = realpath.value();
ChangeFileMode(file_path, S_IWUSR);
std::ofstream json_create(file_path);

2
mindspore/ccsrc/debug/debugger/debugger.cc
View File

@ -113,7 +113,7 @@ void Debugger::Init(const uint32_t device_id, const std::string device_target) {
device_id_ = device_id;
MS_LOG(INFO) << "Debugger got device_target: " << device_target;
device_target_ = device_target;
version_ = "1.2.0";
version_ = "1.3.0";
}
bool IsTypeDebuggerSupported(TypeId type) {

2
mindspore/ccsrc/debug/debugger/offline_debug/dbg_services.cc
View File

@ -48,7 +48,7 @@ DbgServices::~DbgServices() {
std::string DbgServices::GetVersion() {
MS_LOG(INFO) << "get version is called";
return "1.2.0";
return "1.3.0";
}
int32_t DbgServices::Initialize(std::string net_name, std::string dump_folder_path, bool is_sync_mode) {

127
mindspore/ccsrc/runtime/device/ascend/lic_manager.cc Normal file
View File

@ -0,0 +1,127 @@
/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "runtime/device/ascend/lic_manager.h"
#include <regex>
#include "utils/ms_context.h"
#include "runtime/dev.h"
namespace gelc {
uint32_t GetOptInfo(uint32_t, const std::string &, std::map<std::string, std::string> &); // NOLINT
} // namespace gelc
namespace mindspore {
namespace {
constexpr auto kFeKey = "opt_module.fe";
constexpr auto kOpTuneKey = "opt_module.op_tune";
constexpr auto kAllOpen = "ALL";
static const std::map<std::string, OptPassEnum> kPassCodeMap = {
{std::to_string(3), OptPassEnum::MatmulBiasaddFusion},
{std::to_string(8), OptPassEnum::DereluFusion},
{std::to_string(9), OptPassEnum::TransposeReshapeFusion},
{std::to_string(10), OptPassEnum::MomentumLossscaleFusion},
{std::to_string(12), OptPassEnum::FusedBatchNormFusion},
{std::to_string(15), OptPassEnum::BnupdateEltwiseEltwiseFusionPass},
{std::to_string(16), OptPassEnum::BnupdateEltwiseFusionPass},
{std::to_string(17), OptPassEnum::Conv2DBackpropEltwiseFusionPass},
{std::to_string(18), OptPassEnum::ConvBnReduceFusionPass},
{std::to_string(26), OptPassEnum::ReshapeTransposeFusion},
{std::to_string(27), OptPassEnum::SquareSumFusion},
{std::to_string(30), OptPassEnum::MatmulEltwiseFusionPass},
{std::to_string(33), OptPassEnum::BatchMatmulFusedMulAddFusionPass},
{std::to_string(34), OptPassEnum::EltwiseFusionPass},
{std::to_string(36), OptPassEnum::MultiOutputFusionPass},
{std::to_string(37), OptPassEnum::MulAddFusion},
{std::to_string(38), OptPassEnum::SoftmaxGradExtFusion},
{std::to_string(39), OptPassEnum::ClipByNormNoDivSquareSumFusion},
};
inline std::vector<std::string> SplitStrByRegex(const std::string &str, const std::string &regex) {
std::regex split(regex);
return std::vector<std::string>(std::sregex_token_iterator(str.begin(), str.end(), split, -1),
std::sregex_token_iterator());
}
static std::string GetSocVersion() {
constexpr int kSocVersionLen = 50;
char soc_version[kSocVersionLen] = {0};
auto ret = rtGetSocVersion(soc_version, kSocVersionLen);
if (ret != RT_ERROR_NONE) {
MS_LOG(WARNING) << "rtGetSocVersion failed, ret = " << ret;
return "Ascend910";
}
return soc_version;
}
} // namespace
LicManager &LicManager::GetInstance() {
static LicManager lic_manager{};
return lic_manager;
}
bool LicManager::GetPassSwitch(OptPassEnum pass) {
if (!init_flag) {
ParseSwitch();
}
auto iter = pass_switch_.find(pass);
if (iter == pass_switch_.end()) {
return true;
}
return iter->second;
}
void LicManager::ParseSwitch() {
std::map<std::string, std::string> opt_info_map;
auto ret = gelc::GetOptInfo(0, GetSocVersion(), opt_info_map);
if (ret != 0) {
MS_LOG(WARNING) << "GetOptInfo failed.";
init_flag = true;
return;
}
auto iter = opt_info_map.find(kFeKey);
if (iter != opt_info_map.end()) {
ParseFeSwitch(iter->second);
}
init_flag = true;
}
void LicManager::ParseFeSwitch(const std::string &options_str) {
// invalid options, do nothing.
if (options_str.empty()) {
return;
}
// "All" in options means all open, do nothing.
if (options_str.find(kAllOpen) != std::string::npos) {
return;
}
for (auto iter = kPassCodeMap.begin(); iter != kPassCodeMap.end(); ++iter) {
auto pass = iter->second;
pass_switch_.emplace(pass, false);
}
auto fe_pass = SplitStrByRegex(options_str, ":");
for (auto &pass_code : fe_pass) {
auto iter = kPassCodeMap.find(pass_code);
if (iter != kPassCodeMap.end()) {
pass_switch_[iter->second] = true;
}
}
}
} // namespace mindspore

59
mindspore/ccsrc/runtime/device/ascend/lic_manager.h Normal file
View File

@ -0,0 +1,59 @@
/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_PASS_SWITCH_MANAGER_H_
#define MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_PASS_SWITCH_MANAGER_H_
#include <memory>
#include <string>
#include <map>
#include <vector>
namespace mindspore {
enum class OptPassEnum {
MatmulBiasaddFusion,
MulAddFusion,
ReshapeTransposeFusion,
SoftmaxGradExtFusion,
SquareSumFusion,
TransposeReshapeFusion,
ClipByNormNoDivSquareSumFusion,
MomentumLossscaleFusion,
DereluFusion,
FusedBatchNormFusion,
MatmulEltwiseFusionPass,
BatchMatmulFusedMulAddFusionPass,
EltwiseFusionPass,
MultiOutputFusionPass,
BnupdateEltwiseEltwiseFusionPass,
BnupdateEltwiseFusionPass,
Conv2DBackpropEltwiseFusionPass,
ConvBnReduceFusionPass,
};
class LicManager {
public:
static LicManager &GetInstance();
bool GetPassSwitch(OptPassEnum pass);
private:
void ParseSwitch();
void ParseFeSwitch(const std::string &options_str);
bool init_flag = false;
std::map<OptPassEnum, bool> pass_switch_ = {};
};
} // namespace mindspore
#endif // MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_PASS_SWITCH_MANAGER_H_

2
mindspore/run_check/_check_version.py
View File

@ -207,7 +207,7 @@ class AscendEnvChecker(EnvChecker):
"""ascend environment check"""
def __init__(self):
self.version = ["1.78.23.0.230"]
self.version = ["1.78.23.1.230"]
atlas_nnae_version = "/usr/local/Ascend/nnae/latest/fwkacllib/version.info"
atlas_toolkit_version = "/usr/local/Ascend/ascend-toolkit/latest/fwkacllib/version.info"
hisi_fwk_version = "/usr/local/Ascend/fwkacllib/version.info"

4
requirements.txt
View File

@ -1,5 +1,5 @@
numpy >= 1.17.0
protobuf >= 3.8.0
protobuf >= 3.13.0
asttokens >= 1.1.13
pillow >= 6.2.0
scipy >= 1.5.2
@ -17,4 +17,4 @@ packaging >= 20.0
pycocotools >= 2.0.2 # for st test
tables >= 3.6.1 # for st test
easydict >= 1.9 # for st test
psutil >= 5.7.0
psutil >= 5.7.0

2
setup.py
View File

@ -108,7 +108,7 @@ build_dependencies()
required_package = [
'numpy >= 1.17.0',
'protobuf >= 3.8.0',
'protobuf >= 3.13.0',
'asttokens >= 1.1.13',
'pillow >= 6.2.0',
'scipy >= 1.5.2',

2
tests/st/data_transfer/test_tdt_data_transfer.py
View File

@ -126,7 +126,7 @@ def op_network_with_step_num(dataset, step_num):
return op_network_with_epoch(net_with_dataset, step_num)
@pytest.mark.level0
@pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_ascend_training
@pytest.mark.env_onecard

2
tests/st/explainer/explanation/_attribution/_backprop/test_modified_relu.py
View File

@ -51,7 +51,7 @@ class TestModifiedReLU:
self.abs_ = P.Abs()
self.reshape = P.Reshape()
@pytest.mark.level0
@pytest.mark.level1
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_ascend_training
@pytest.mark.env_onecard

1
tests/ut/cpp/CMakeLists.txt
View File

@ -124,6 +124,7 @@ file(GLOB_RECURSE MINDSPORE_SRC_LIST RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}
"../../../mindspore/ccsrc/runtime/device/ascend/ascend_memory_manager.cc"
"../../../mindspore/ccsrc/runtime/device/ascend/ascend_device_address.cc"
"../../../mindspore/ccsrc/runtime/device/ascend/ascend_memory_pool.cc"
"../../../mindspore/ccsrc/runtime/device/ascend/lic_manager.cc"
"../../../mindspore/ccsrc/backend/kernel_compiler/cpu/cpu_kernel.cc"
"../../../mindspore/ccsrc/backend/kernel_compiler/cpu/cpu_kernel_factory.cc"
"../../../mindspore/ccsrc/backend/kernel_compiler/cpu/sparse_apply_adam_cpu_kernel.cc"

6
tests/ut/cpp/stub/ge/ge_mock.cc
View File

@ -51,4 +51,10 @@ Status GEFinalize() { return ge::GRAPH_SUCCESS; }
Status Graph::SaveToFile(const string& file_name) const { return ge::GRAPH_SUCCESS; }
} // namespace ge
namespace gelc {
uint32_t GetOptInfo(uint32_t mode, const std::string &soc_ver, std::map<std::string, std::string> &opt_info_map) {
return 0;
}
} // namespace gelc
#endif