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Pre Merge pull request !1207 from wangjiming/master

pull/1207/MERGE
wangjiming Gitee 4 years ago
parent
2dff5cdbdf 3bda8cb50e
commit
1c81bb4cc1
21 changed files with 4 additions and 1213 deletions
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  1. +3
    -3
      ge/common/helper/model_helper.cc
  2. +0
    -5
      ge/common/types.cc
  3. +1
    -6
      ge/graph/build/memory/block_mem_assigner.cc
  4. +0
    -8
      ge/graph/build/model_builder.cc
  5. +0
    -1
      ge/graph/build/model_builder.h
  6. +0
    -1
      ge/graph/manager/graph_manager_utils.cc
  7. +0
    -62
      ge/graph/optimize/common/params.h
  8. +0
    -1
      ge/graph/preprocess/insert_op/ge_aipp_op.cc
  9. +0
    -4
      ge/model/ge_model.cc
  10. +0
    -2
      ge/model/ge_model.h
  11. +0
    -17
      ge/offline/main.cc
  12. +0
    -161
      ge/offline/module.mk
  13. +0
    -191
      ge/offline/proto/ge_ir.proto
  14. +0
    -140
      ge/offline/proto/insert_op.proto
  15. +0
    -396
      ge/offline/proto/om.proto
  16. +0
    -179
      ge/offline/proto/task.proto
  17. +0
    -3
      ge/session/omg.cc
  18. +0
    -11
      inc/framework/common/debug/log.h
  19. +0
    -12
      inc/framework/common/types.h
  20. +0
    -9
      inc/framework/omg/parser/parser_types.h
  21. +0
    -1
      tests/ut/ge/gen_node.h

+ 3
- 3
ge/common/helper/model_helper.cc View File

@@ -208,7 +208,7 @@ Status ModelHelper::SaveModelHeader(std::shared_ptr<OmFileSaveHelper> &om_file_s
const GeModelPtr &ge_model, size_t model_num) {
// Save target/version to model_header
ModelFileHeader &model_header = om_file_save_helper->GetModelFileHeader();
model_header.platform_type = ge_model->GetPlatformType();
model_header.platform_type = TARGET_TYPE_MINI_8BIT;
model_header.om_ir_version = ge_model->GetVersion();
model_header.model_num = model_num;
std::string platform_version = ge_model->GetPlatformVersion();
@@ -511,7 +511,7 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ModelHelper::LoadRootMod

Status status = ModelParserBase::ParseModelContent(model_data, model_addr_tmp_, model_len_tmp_);
if (status != SUCCESS) {
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Parse model content failed!");
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Parse model content failed.");
return ACL_ERROR_GE_PARAM_INVALID;
}

@@ -542,7 +542,7 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ModelHelper::LoadRootMod
GELOGE(status, "GenerateGeRootModel failed");
return status;
}
GELOGD("in ModelHelper::LoadRootModel, is_assign_model_ is setted to true!");
GELOGD("in ModelHelper::LoadRootModel, is_assign_model_ is setted to true.");
is_assign_model_ = true;
return SUCCESS;
}


+ 0
- 5
ge/common/types.cc View File

@@ -493,12 +493,7 @@ const std::string MODEL_ATTR_FUSION_MODEL_DEF = "fm";

const int MODEL_MAX_SIZE = INT32_MAX; // Max size of 2 GB minus 1 byte.
const uint64_t FILE_HEADER_MAX_SIZE = 3221225472; // Max size of 3 GB.

#if !defined(__ANDROID__) && !defined(ANDROID)
const uint64_t ALLOC_MEMORY_MAX_SIZE = 8589934592; // Max size of 8 GB.
#else
const uint64_t ALLOC_MEMORY_MAX_SIZE = 536870912; // Max size of 512M.
#endif

///
/// @brief Magic number of model file


+ 1
- 6
ge/graph/build/memory/block_mem_assigner.cc View File

@@ -35,7 +35,6 @@
#include "graph/debug/ge_attr_define.h"

#include "graph/common/local_context.h"
#include "graph/optimize/common/params.h"
#include "omg/omg_inner_types.h"
#include "runtime/mem.h"

@@ -1429,11 +1428,7 @@ MemoryBlock *BlockMemAssigner::ApplyOutMemory(const NodePtr &n, uint32_t index,
auto owner_node = in_anchor->GetOwnerNode();
auto op_desc = owner_node->GetOpDesc();
GE_IF_BOOL_EXEC(op_desc == nullptr, continue);
Params *instance = Params::Instance();
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(instance == nullptr, return nullptr, "Params instance is nullptr.");
if (!((instance->GetTarget() == TARGET_TYPE_TINY) && (op_desc->GetType() == NETOUTPUT))) {
out_count++;
}
out_count++;
}
block->ref_count_ = (reuse_input && out_count != 0) ? (block->ref_count_ + out_count - 1)
: (block->ref_count_ + out_count);


+ 0
- 8
ge/graph/build/model_builder.cc View File

@@ -34,7 +34,6 @@
#include "graph/ge_error_codes.h"
#include "graph/manager/graph_mem_allocator.h"
#include "graph/manager/graph_var_manager.h"
#include "graph/optimize/common/params.h"
#include "graph/types.h"
#include "graph/utils/attr_utils.h"
#include "graph/utils/graph_utils.h"
@@ -96,7 +95,6 @@ ModelBuilder::ModelBuilder(uint64_t session_id, ge::ComputeGraphPtr compute_grap
max_mem_offset_(0),
p2p_mem_offset_(0),
zero_copy_mem_size_(0),
platform_type_(0),
is_loop_graph_(false),
is_l1_fusion_enable_(false) {}

@@ -494,11 +492,6 @@ Status ModelBuilder::BuildModelDef(ge::Model &model) {

GELOGI("Set event num: %ld.", event_num_);

if (Params::Instance() == nullptr) {
return FAILED;
}

platform_type_ = Params::Instance()->GetTarget_8bit();
return SUCCESS;
}

@@ -759,7 +752,6 @@ Status ModelBuilder::SaveDataToModel(ge::Model &model, ge::GeModel &ge_model) {
ge_model.SetGraph(model.GetGraph());
ge_model.SetVersion(model.GetVersion());
ge_model.SetPlatformVersion(model.GetPlatformVersion());
ge_model.SetPlatformType(platform_type_);
ge_model.SetAttr(model.MutableAttrMap());
return SUCCESS;
}


+ 0
- 1
ge/graph/build/model_builder.h View File

@@ -120,7 +120,6 @@ class ModelBuilder {
TBEKernelStore tbe_kernel_store_;
CustAICPUKernelStore cust_aicpu_kernel_store_;

uint8_t platform_type_;
bool is_loop_graph_;
bool is_l1_fusion_enable_;
};


+ 0
- 1
ge/graph/manager/graph_manager_utils.cc View File

@@ -25,7 +25,6 @@
#include "graph/debug/ge_attr_define.h"
#include "graph/compute_graph.h"
#include "graph/op_desc.h"
#include "graph/optimize/common/params.h"
#include "omg/omg_inner_types.h"
#include "runtime/mem.h"



+ 0
- 62
ge/graph/optimize/common/params.h View File

@@ -1,62 +0,0 @@
/**
* Copyright 2020 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 GE_GRAPH_OPTIMIZE_COMMON_PARAMS_H_
#define GE_GRAPH_OPTIMIZE_COMMON_PARAMS_H_

#include <string>

#include "common/singleton.h"
#include "common/types.h"

namespace ge {
class Params : public Singleton<Params> {
public:
DECLARE_SINGLETON_CLASS(Params);

void SetTarget(const char* target) {
std::string tmp_target = (target != nullptr) ? target : "";

#if defined(__ANDROID__) || defined(ANDROID)
target_ = "LITE";
target_8bit_ = TARGET_TYPE_LTTE_8BIT;
#else
target_ = "MINI";
target_8bit_ = TARGET_TYPE_MINI_8BIT;
#endif
if (tmp_target == "mini") {
target_ = "MINI";
target_8bit_ = TARGET_TYPE_MINI_8BIT;
} else if (tmp_target == "lite") {
target_ = "LITE";
target_8bit_ = TARGET_TYPE_LTTE_8BIT;
}
}

string GetTarget() const { return target_; }

uint8_t GetTarget_8bit() const { return target_8bit_; }
~Params() override = default;

private:
Params() : target_("MINI") {}

string target_;
uint8_t target_8bit_ = TARGET_TYPE_MINI_8BIT;
};
} // namespace ge

#endif // GE_GRAPH_OPTIMIZE_COMMON_PARAMS_H_

+ 0
- 1
ge/graph/preprocess/insert_op/ge_aipp_op.cc View File

@@ -32,7 +32,6 @@
#include "framework/common/types.h"
#include "framework/omg/omg_inner_types.h"
#include "graph/debug/ge_attr_define.h"
#include "graph/optimize/common/params.h"
#include "graph/utils/graph_utils.h"
#include "graph/utils/node_utils.h"
#include "graph/utils/op_desc_utils.h"


+ 0
- 4
ge/model/ge_model.cc View File

@@ -54,8 +54,6 @@ uint32_t GeModel::GetVersion() const { return this->version_; }

std::string GeModel::GetPlatformVersion() const { return this->platform_version_; }

uint8_t GeModel::GetPlatformType() const { return this->platform_type_; }

void GeModel::SetGraph(const Graph &graph) { this->graph_ = graph; }

void GeModel::SetModelTaskDef(const std::shared_ptr<domi::ModelTaskDef> &task) { this->task_ = task; }
@@ -76,8 +74,6 @@ void GeModel::SetVersion(uint32_t version) { this->version_ = version; }

void GeModel::SetPlatformVersion(const std::string &platform_version) { this->platform_version_ = platform_version; }

void GeModel::SetPlatformType(uint8_t platform_type) { this->platform_type_ = platform_type; }

void GeModel::SetAttr(const ProtoAttrMapHelper &attrs) { attrs_ = attrs; }

ProtoAttrMapHelper GeModel::MutableAttrMap() { return attrs_; }


+ 0
- 2
ge/model/ge_model.h View File

@@ -58,7 +58,6 @@ class GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY GeModel : public AttrHolder
void SetName(const std::string &name);
void SetVersion(uint32_t version);
void SetPlatformVersion(const std::string &platform_version);
void SetPlatformType(uint8_t platform_type);

void SetAttr(const ProtoAttrMapHelper &attrs);

@@ -93,7 +92,6 @@ class GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY GeModel : public AttrHolder
std::string name_;
uint32_t version_ = {0};
std::string platform_version_;
uint8_t platform_type_ = {0};
uint32_t model_id_ = INVALID_MODEL_ID;
std::map<uint32_t, uint64_t> model_id_to_session_id_map_;
};


+ 0
- 17
ge/offline/main.cc View File

@@ -102,13 +102,11 @@ DEFINE_int32(mode, 0,
"Optional; run mode, 0(default): model => framework model; 1: "
"framework model => json; 3: only pre-check; 5: txt => json.");

#if !defined(__ANDROID__) && !defined(ANDROID)
DEFINE_int32(encrypt_mode, -1, "Optional; the encrypt flag. 0: encrypt; -1(default): not encrypt");
DEFINE_string(encrypt_key, "", "Optional; the encrypt_key file.");
DEFINE_string(certificate, "", "Optional; the certificate file.");
DEFINE_string(hardware_key, "", "Optional; the ISV key file.");
DEFINE_string(private_key, "", "Optional; the private key file.");
#endif

DEFINE_string(out_nodes, "",
"Optional; output nodes designated by users."
@@ -397,7 +395,6 @@ class GFlagUtils {
"dynamic dims function does not support aipp"});
ret = ge::FAILED, "[Check][Param]dynamic dims function does not support aipp");

#if !defined(__ANDROID__) && !defined(ANDROID)
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(!CheckEncryptModeValid(FLAGS_encrypt_mode), ret = ge::FAILED,
"[Check][EncryptMode]value %d not valid!!", FLAGS_encrypt_mode);

@@ -418,7 +415,6 @@ class GFlagUtils {
} else { // No encryption
GELOGI("ge will run without encrypt!");
}
#endif

/**
* Check the validity of the I / O file path
@@ -531,18 +527,10 @@ class GFlagUtils {

private:
static bool CheckEncryptModeValid(const int encrypt_mode) {
#if !defined(__ANDROID__) && !defined(ANDROID)
if (encrypt_mode != 0 && encrypt_mode != -1) {
DOMI_LOGE("encrypt mode must be 0 or -1");
return false;
}
#else
if (encrypt_mode != -1) {
DOMI_LOGE("encrypt mode must be -1");
return false;
}
#endif

return true;
}

@@ -665,7 +653,6 @@ static bool CheckInputFormat() {
return true;
}

#if !defined(__ANDROID__) && !defined(ANDROID)
static void GetCustomOpPath(std::string &customop_path) {
GELOGI("Enter get custom op path schedule");
std::string fmk_type = ge::TypeUtils::FmkTypeToSerialString(static_cast<domi::FrameworkType>(FLAGS_framework));
@@ -806,8 +793,6 @@ void SaveCustomCaffeProtoPath() {
return;
}

#endif

Status CreateInputsForInference(const ge::Graph &graph, vector<ge::GeTensor> &inputs) {
auto compute_graph = ge::GraphUtils::GetComputeGraph(graph);
GE_CHECK_NOTNULL(compute_graph);
@@ -1154,14 +1139,12 @@ domi::Status GenerateOmModel() {
GE_CHK_BOOL_EXEC(ret == domi::SUCCESS, return domi::FAILED,
"[Check][Flags] failed! Please check whether some atc params that include semicolons[;] use double "
"quotation marks (\") to enclose each argument such as out_nodes, input_shape, dynamic_image_size");
#if !defined(__ANDROID__) && !defined(ANDROID)
// Load custom operator Library
LoadCustomOpLib(true);

SaveCustomCaffeProtoPath();

GE_CHK_BOOL_EXEC(ret == domi::SUCCESS, return domi::FAILED, "[Check][Flags]check custom aicpu run so failed!");
#endif

const int f_stream_num = 1;
std::map<string, string> options;


+ 0
- 161
ge/offline/module.mk View File

@@ -1,161 +0,0 @@

LOCAL_PATH := $(call my-dir)

include $(CLEAR_VARS)

LOCAL_MODULE := atc

LOCAL_CFLAGS += -Werror -Wno-deprecated-declarations
LOCAL_CFLAGS += -DPROTOBUF_INLINE_NOT_IN_HEADERS=0 -DCOMPILE_OMG_PACKAGE -O2 -Dgoogle=ascend_private

LOCAL_SRC_FILES := \
main.cc \
single_op_parser.cc \
../session/omg.cc \
../ir_build/atc_ir_common.cc \

LOCAL_C_INCLUDES := \
$(LOCAL_PATH)/../ ./ \
$(TOPDIR)inc \
$(TOPDIR)metadef/inc \
$(TOPDIR)graphengine/inc \
$(TOPDIR)inc/external \
$(TOPDIR)metadef/inc/external \
$(TOPDIR)graphengine/inc/external \
$(TOPDIR)metadef/inc/external/graph \
$(TOPDIR)graphengine/inc/framework \
$(TOPDIR)libc_sec/include \
$(TOPDIR)metadef/inc/common/util \
$(TOPDIR)parser \
third_party/json/include \
third_party/gflags/include \
third_party/protobuf/include \
proto/om.proto \
proto/ge_ir.proto \
proto/task.proto \
proto/insert_op.proto \

LOCAL_SHARED_LIBRARIES := \
libc_sec \
libge_common \
libascend_protobuf \
libslog \
libgraph \
libregister \
liberror_manager \
libge_compiler \
libruntime_compile \
libparser_common \
liberror_manager \

LOCAL_STATIC_LIBRARIES := libgflags

LOCAL_LDFLAGS := -lrt -ldl

include $(BUILD_HOST_EXECUTABLE)

include $(CLEAR_VARS)

LOCAL_MODULE := atclib/atc.bin

LOCAL_CFLAGS += -Werror -Wno-deprecated-declarations
LOCAL_CFLAGS += -DPROTOBUF_INLINE_NOT_IN_HEADERS=0 -DCOMPILE_OMG_PACKAGE -O2 -Dgoogle=ascend_private

LOCAL_SRC_FILES := \
main.cc \
single_op_parser.cc \
../session/omg.cc \
../ir_build/atc_ir_common.cc \

LOCAL_C_INCLUDES := \
$(LOCAL_PATH)/../ ./ \
$(TOPDIR)inc \
$(TOPDIR)metadef/inc \
$(TOPDIR)graphengine/inc \
$(TOPDIR)inc/external \
$(TOPDIR)metadef/inc/external \
$(TOPDIR)graphengine/inc/external \
$(TOPDIR)metadef/inc/external/graph \
$(TOPDIR)graphengine/inc/framework \
$(TOPDIR)libc_sec/include \
$(TOPDIR)metadef/inc/common/util \
$(TOPDIR)parser \
third_party/json/include \
third_party/gflags/include \
third_party/protobuf/include \
proto/om.proto \
proto/ge_ir.proto \
proto/task.proto \
proto/insert_op.proto \

LOCAL_SHARED_LIBRARIES := \
libc_sec \
libge_common \
libascend_protobuf \
libslog \
libgraph \
libregister \
liberror_manager \
libge_compiler \
libruntime_compile \
libparser_common \
liberror_manager \

LOCAL_STATIC_LIBRARIES := libgflags

LOCAL_LDFLAGS := -lrt -ldl

include $(BUILD_HOST_EXECUTABLE)

include $(CLEAR_VARS)

LOCAL_MODULE := fwkacl/atc.bin

LOCAL_CFLAGS += -Werror -Wno-deprecated-declarations
LOCAL_CFLAGS += -DPROTOBUF_INLINE_NOT_IN_HEADERS=0 -DCOMPILE_OMG_PACKAGE -O2 -Dgoogle=ascend_private

LOCAL_SRC_FILES := \
main.cc \
single_op_parser.cc \
../session/omg.cc \
../ir_build/atc_ir_common.cc \

LOCAL_C_INCLUDES := \
$(LOCAL_PATH)/../ ./ \
$(TOPDIR)inc \
$(TOPDIR)metadef/inc \
$(TOPDIR)graphengine/inc \
$(TOPDIR)inc/external \
$(TOPDIR)metadef/inc/external \
$(TOPDIR)graphengine/inc/external \
$(TOPDIR)metadef/inc/external/graph \
$(TOPDIR)graphengine/inc/framework \
$(TOPDIR)libc_sec/include \
$(TOPDIR)metadef/inc/common/util \
$(TOPDIR)parser \
third_party/json/include \
third_party/gflags/include \
third_party/protobuf/include \
proto/om.proto \
proto/ge_ir.proto \
proto/task.proto \
proto/insert_op.proto \

LOCAL_SHARED_LIBRARIES := \
libc_sec \
libge_common \
libascend_protobuf \
libslog \
libgraph \
libregister \
liberror_manager \
libge_runner \
libruntime \
libparser_common \
liberror_manager \

LOCAL_STATIC_LIBRARIES := libgflags

LOCAL_LDFLAGS := -lrt -ldl

include $(BUILD_HOST_EXECUTABLE)

+ 0
- 191
ge/offline/proto/ge_ir.proto View File

@@ -1,191 +0,0 @@
syntax = "proto3";

package ge.proto;

enum DataType
{
DT_UNDEFINED = 0; // Used to indicate a DataType field has not been set.
DT_FLOAT = 1; // float type
DT_FLOAT16 = 2; // fp16 type
DT_INT8 = 3; // int8 type
DT_UINT8 = 4; // uint8 type
DT_INT16 = 5; // int16 type
DT_UINT16 = 6; // uint16 type
DT_INT32 = 7; //
DT_INT64 = 8; // int64 type
DT_UINT32 = 9; // unsigned int32
DT_UINT64 = 10; // unsigned int64
DT_BOOL = 11; // bool type
DT_DOUBLE = 12; // double type
DT_STRING = 13; // string type
DT_DUAL_SUB_INT8 = 14; /**< dual output int8 type */
DT_DUAL_SUB_UINT8 = 15; /**< dual output uint8 type */
DT_COMPLEX64 = 16; // complex64 type
DT_COMPLEX128 = 17; // complex128 type
DT_QINT8 = 18; // qint8 type
DT_QINT16 = 19; // qint16 type
DT_QINT32 = 20; // qint32 type
DT_QUINT8 = 21; // quint8 type
DT_QUINT16 = 22; // quint16 type
DT_RESOURCE = 23; // resource type
DT_STRING_REF = 24; // string_ref type
DT_DUAL = 25; /**< dual output type */
DT_VARIANT = 26; // variant type
}

message AttrDef
{
message ListValue
{
enum ListValueType{
VT_LIST_NONE = 0;
VT_LIST_STRING = 1;
VT_LIST_INT = 2;
VT_LIST_FLOAT = 3;
VT_LIST_BOOL = 4;
VT_LIST_BYTES = 5;
VT_LIST_TENSOR_DESC = 6;
VT_LIST_TENSOR = 7;
VT_LIST_GRAPH = 8;
VT_LIST_NAMED_ATTRS = 9;
VT_LIST_DATA_TYPE = 10;
}
repeated bytes s = 2; // "list(string)"
repeated int64 i = 3; // "list(int)"
repeated float f = 4; // "list(float)"
repeated bool b = 5; // "list(bool)"
repeated bytes bt = 7;
repeated TensorDescriptor td = 8;
repeated TensorDef t = 9;
repeated GraphDef g = 10;
repeated NamedAttrs na = 11;
repeated int64 dt = 12; // list ge::DataType

ListValueType val_type = 20;
}

message ListListInt{
message ListInt{
repeated int64 list_i = 1; // list int
}
repeated ListInt list_list_i = 1; // list list int
}

oneof value
{
bytes s = 2; // "string"
int64 i = 3; // "int"
float f = 4; // "float"
bool b = 5; // "bool"
bytes bt = 7;
ListValue list = 1; // any "list(...)"
NamedAttrs func = 10; // Used to support attr nesting
TensorDescriptor td = 11; // GeTensorDesc type
TensorDef t = 12; // GeTensor type
GraphDef g = 13; // Graph type
ListListInt list_list_int = 14; // List List Int type
int64 dt = 15; // ge::DataType
}
}

// A list of attr names and their values. The whole list is attached
// with a string name. E.g., MatMul[T=float].
message NamedAttrs
{
string name = 1;
map<string, AttrDef> attr = 2;
}

// Shape / dimension description, using row-major order
message ShapeDef
{
repeated int64 dim = 1; // Size of each dimension
}

// Multidimensional data description
message TensorDescriptor
{
string name = 1; // Optional parameter, tensor name

DataType dtype = 2; // tensor datatype
ShapeDef shape = 3; // Shape / dimension
string layout = 4; // Tensor format, eg: "NCHW", "NHWC", "CHW", "ND"

bool has_out_attr = 9;
int64 size = 10;
int64 weight_size = 11;
bool reuse_input = 12;
bool output_tensor = 13;
string device_type = 14;
bool input_tensor =15;
int64 real_dim_cnt = 16;
int64 reuse_input_index = 17;
int64 data_offset = 18;
int64 cmps_size = 19;
string cmps_tab = 20;
int64 cmps_tab_offset = 21;

map<string, AttrDef> attr = 5; // Set of extra parameter fields
}

// GeTensor definition
message TensorDef
{
TensorDescriptor desc = 1; // Tensor description
bytes data = 2; // Tensor data
}


// Operator description
message OpDef
{
string name = 1; // name
string type = 2; // type

repeated string input = 5; // input original op name + outgoing index. op_name：index

map<string, AttrDef> attr = 10; // Set of operator parameter fields

bool has_out_attr = 20;
int64 id = 21;
int64 stream_id =22;
repeated string input_name = 23;
repeated string src_name = 24;
repeated int64 src_index = 25;
repeated string dst_name = 26;
repeated int64 dst_index = 27;
repeated int64 input_i = 28;
repeated int64 output_i = 29;
repeated int64 workspace = 30;
repeated int64 workspace_bytes = 31;
repeated bool is_input_const = 32;
repeated TensorDescriptor input_desc = 33;
repeated TensorDescriptor output_desc = 34;
repeated string subgraph_name = 35;
}

// Graph definition
message GraphDef
{
string name = 1; // name

repeated string input = 4; // Graph input
repeated string output = 5; // Graph output

repeated OpDef op = 6; // List of operators

map<string, AttrDef> attr = 11; // Extended field
}

// model definition
message ModelDef
{
string name = 1; // name
uint32 version = 2; // IR Proto verion
string custom_version = 3; // User model version number, passed in by user

repeated GraphDef graph = 7; // Graph definition，graph[0] represents the main diagram in modeldef

map<string, AttrDef> attr = 11; // Extended field
}


+ 0
- 140
ge/offline/proto/insert_op.proto View File

@@ -1,140 +0,0 @@
syntax = "proto3";

package domi;

message InsertNewOps {
repeated AippOpParams aipp_op = 1;
repeated MultiShapeOpParams multi_shape_op = 2;
}

message AippOpParams {
enum InputFormat {
UNDEFINED = 0;
YUV420SP_U8 = 1;
XRGB8888_U8 = 2;
RGB888_U8 = 3;
YUV400_U8 = 4;
NC1HWC0DI_FP16 = 5;
NC1HWC0DI_S8 = 6;
ARGB8888_U8 = 7;
YUYV_U8 = 8;
YUV422SP_U8 = 9;
AYUV444_U8 = 10;
RAW10 = 11;
RAW12 = 12;
RAW16 = 13;
RAW24 = 14;
RGB16 = 15;
RGB20 = 16;
RGB24 = 17;
RGB8_IR = 18;
RGB16_IR = 19;
RGB24_IR = 20;
}

enum AippMode {
undefined = 0;
static = 1;
dynamic = 2;
}

// AIPP模式，区分静态AIPP和动态AIPP
AippMode aipp_mode = 1;

// related_input_rank参数为必填，类型为整型，配置范围>=0, <=输入Data算子的个数，默认值为0。
// 标识对模型的第几个输入做AIPP处理，例如模型有两个输入，需要对第2个输入做AIPP，则配置related_input_rank为1。
uint32 related_input_rank = 2;

// related_input_name is optional and the top name of data node which inserts aipp
string related_input_name = 6;

// input_edge_idx参数为可选，类型为整型，配置范围为>=0。
// 配置该参数的作用，在于对Data算子不同的输出做不同的AIPP处理，如果该参数没有配置，默认对related_input_rank指定的模型输入的所有输出边做AIPP。
// 配置值 <= Data算子输出边的个数。
repeated uint32 input_edge_idx = 3;

// [Begin] 动态AIPP参数，配置静态AIPP时无效
uint32 max_src_image_size = 4;

// 是否支持旋转。默认不支持，开启支持旋转时，会有额外的空间和性能损失
bool support_rotation = 5;

// [End] 动态AIPP参数


// [Begin] 静态AIPP参数，配置动态AIPP时无效
InputFormat input_format = 51;
bool csc_switch = 52;
float cpadding_value = 53;
bool rbuv_swap_switch = 54;
bool ax_swap_switch = 55;
bool single_line_mode = 56;

int32 src_image_size_w = 57;
int32 src_image_size_h = 58;

bool crop = 59;
int32 load_start_pos_w = 60;
int32 load_start_pos_h = 61;
int32 crop_size_w = 62;
int32 crop_size_h = 63;

bool resize = 64;
int32 resize_output_w = 65;
int32 resize_output_h = 66;

bool padding = 67;
int32 left_padding_size = 68;
int32 right_padding_size = 69;
int32 top_padding_size = 70;
int32 bottom_padding_size = 71;
float padding_value = 72;

int32 mean_chn_0 = 10;
int32 mean_chn_1 = 11;
int32 mean_chn_2 = 12;
int32 mean_chn_3 = 19;
float min_chn_0 = 13;
float min_chn_1 = 14;
float min_chn_2 = 15;
float min_chn_3 = 20;
repeated float var_reci_chn_0 = 16;
repeated float var_reci_chn_1 = 17;
repeated float var_reci_chn_2 = 18;
repeated float var_reci_chn_3 = 21;

repeated int32 matrix_r0c0 = 30;
repeated int32 matrix_r0c1 = 31;
repeated int32 matrix_r0c2 = 32;
repeated int32 matrix_r1c0 = 33;
repeated int32 matrix_r1c1 = 34;
repeated int32 matrix_r1c2 = 35;
repeated int32 matrix_r2c0 = 36;
repeated int32 matrix_r2c1 = 37;
repeated int32 matrix_r2c2 = 38;
repeated int32 output_bias_0 = 39;
repeated int32 output_bias_1 = 40;
repeated int32 output_bias_2 = 41;
repeated int32 input_bias_0 = 42;
repeated int32 input_bias_1 = 43;
repeated int32 input_bias_2 = 44;

// [End] 静态AIPP参数

// The n number that is used for raw/rgbir data into f16 transformation.
// The transformation equation is x/(2^n). If set to 0, no transform is performed.
uint32 raw_rgbir_to_f16_n = 45;
}

message MultiShapeOpParams {
enum MultiShapeMode {
batch = 0; //动态batch
resolution = 1; //动态分辨率，扩展用
}

MultiShapeMode mode = 1; //算子模式
uint32 related_input_rank = 2; //新增算子插入到哪个输入


repeated uint32 batch_list = 11; //batch_list值，batch_list的个数是2到8之间
}

+ 0
- 396
ge/offline/proto/om.proto View File

@@ -1,396 +0,0 @@
/* Copyright (C) 2018. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the Apache License Version 2.0.You may not use this file except in compliance with the License.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* Apache License for more details at
* http://www.apache.org/licenses/LICENSE-2.0
*/
syntax = "proto3";

package domi;

enum TargetType
{
MINI = 0;
TINY = 1;
LITE = 2;
}

// offline model
message ModelDef {
string name = 1;
uint32 version = 2;

uint64 memory_size = 10;
uint32 stream_num = 11;
uint32 event_num = 12;
uint64 weight_size = 13;
uint32 label_num = 15;
repeated OpDef op = 20;
TargetType target_type = 23;

map<string, AttrDef> attr = 30;
};

// operator define
message OpDef {
string name = 1;
string type = 2;

uint32 id = 3;
uint32 stream_id = 4;

repeated string input_name = 5;

repeated string src_name = 8;
repeated int32 src_index = 9;
repeated int64 input = 10;
repeated int64 output = 11;
repeated TensorDescriptor input_desc = 12;
repeated TensorDescriptor output_desc = 13;
repeated WeightDef weights = 14;
repeated string dst_name = 15;
repeated int32 dst_index = 16;

repeated int64 workspace = 20;
repeated uint32 workspace_bytes = 21;

repeated string weight_name = 22;
repeated bool is_input_const = 23;

map<string, AttrDef> attr = 30;

QuantizeFactorParams quantize_factor = 31;

oneof op_params {
// start at 100 here
SendOpParams sender_param = 100;
RecvOpParams receiver_param = 200;
ConvolutionOpParams convolution_param = 300;
PoolingOpParams pooling_param = 400;
EltwiseOpParams eltwise_param = 500;
BatchNormOpParams batchnorm_param = 600;
ScaleOpParams scale_param = 700;
FullConnectionOpParams full_connection_param = 800;
SoftmaxOpParams softmax_param = 900;
ActivationOpParams activation_param = 1000;
ReshapeOpParams reshape_param = 1100;
}
};

message SendOpParams {
uint32 event_id = 1;
};

message RecvOpParams {
uint32 event_id = 1;
};

enum QuantizeScaleType
{
VECTOR_SCALE = 0;
SCALAR_SCALE = 1;
}

enum QuantizeScaleMode
{
NORMAL_MODE = 0;
SQRT_MODE = 1;
}

enum QuantizeAlgorithm
{
NON_OFFSET_ALGO = 0;
HALF_OFFSET_ALGO = 1;
ALL_OFFSET_ALGO = 2;
}
message QuantizeFactor
{
QuantizeScaleMode scale_mode = 1;
bytes scale_value = 2;
int64 scale_offset = 3;
bytes offset_data_value = 4;
int64 offset_data_offset = 5;
bytes offset_weight_value = 6;
int64 offset_weight_offset = 7;
bytes offset_pad_value = 8;
int64 offset_pad_offset = 9;
};

message QuantizeCalcFactor
{
bytes offsetw = 1;
int64 offsetw_offset = 2;
bytes offsetd = 3;
int64 offsetd_offset = 4;
bytes scalereq = 5;
int64 scaledreq_offset = 6;
bytes offsetdnext = 7;
int64 offsetdnext_offset = 8;
}

message QuantizeFactorParams
{
QuantizeAlgorithm quantize_algo = 1;
QuantizeScaleType scale_type = 2;
QuantizeFactor quantize_param = 3;
QuantizeFactor dequantize_param = 4;
QuantizeFactor requantize_param = 5;
QuantizeCalcFactor quantizecalc_param = 6;
};

message ConvolutionOpParams {
int32 mode = 1;
int32 algo = 2;
int32 pad_mode = 3;
uint32 group = 4;
uint32 num_output = 5;

repeated uint32 pad = 10;
repeated uint32 stride = 11;
repeated uint32 dilation = 12;
repeated uint32 kernel = 13;

float alpha = 20;
float beta = 21;

WeightDef filter = 40;
WeightDef bias = 41;

bool relu_flag = 62;
repeated uint32 adj = 70;
repeated uint32 target_shape = 71;
repeated uint32 before_pad = 72;
};

message PoolingOpParams {
int32 mode = 1;
int32 nan_opt = 2;
int32 pad_mode = 3;
bool global_pooling = 4;

repeated uint32 window = 10;
repeated uint32 pad = 11;
repeated uint32 stride = 12;
bool ceil_mode = 13;
int32 data_mode = 14;

float alpha = 20;
float beta = 21;
repeated uint32 before_pad = 22;
};

message EltwiseOpParams {
int32 mode = 1;
repeated float coeff = 2;
float alpha = 3;
float beta = 4;
repeated WeightDef weight = 5;
bool relu_flag = 6;
};

message ActivationOpParams {
int32 mode = 1;
float coef = 2;
float alpha = 3;
float beta = 4;
};

message BatchNormOpParams {
int32 mode = 1;

float alpha = 2;
float beta = 3;
double epsilon = 4;//optinal,[default = 1e-5]
bool use_global_stats = 5; //optinal,by default true,testing mode
float moving_average_fraction = 6; //optinal,[default = .999];

WeightDef estimated_mean = 7;
WeightDef estimated_variance = 8;

WeightDef scale = 9;
WeightDef bias = 10;
};

message ScaleOpParams {
WeightDef scale = 1;
WeightDef bias = 2;
};

message ReshapeOpParams {
float alpha = 1;
float beta = 2;
ShapeDef shape = 3;
int32 axis = 4;
int32 num_axes = 5;
int32 format = 6;
};

message SoftmaxOpParams {
int32 algo = 1;
int32 mode = 2;
float alpha = 3;
float beta = 4;
};

message FullConnectionOpParams {
WeightDef filter = 1;
WeightDef bias = 2;
uint32 num_output = 3;
bool relu_flag = 12;
};

message FlattenOpParams {
float alpha = 1;
float beta = 2;
int32 start_axis = 3;
int32 end_axis = 4;
}

message AddLimitedOpParams {
float alpha = 1;
float beta = 2;
int32 axis = 3;
bool broadcast = 4;

repeated WeightDef weight = 10;
};

message MulLimitedOpParams {
float alpha = 1;
float beta = 2;
int32 axis = 3;
bool broadcast = 4;

repeated WeightDef weight = 10;
};

message AddOpParams {
float alpha = 1;
float beta = 2;

repeated WeightDef weight = 10;
};

message MulOpParams {
float alpha = 1;
float beta = 2;

repeated WeightDef weight = 10;
};

message SubOpParams {
float alpha = 1;
float beta = 2;

repeated WeightDef weight = 10;
};

message BiasAddOpParams {
float alpha = 1;
float beta = 2;

WeightDef bias = 10;
};

message MatMulOpParams {
float alpha = 1;
float beta = 2;
bool transposeX = 3;
bool transposeW = 4;

WeightDef filter = 10;
WeightDef bias = 12;
};

message RsqrtOpParams {
float alpha = 1;
float beta = 2;
};


message WeightDef {
int32 format = 1;
int32 data_type = 2;
ShapeDef shape = 3;
bytes data = 4;
int64 data_offset = 5;
uint32 cmps_size = 6;
bytes cmps_tab = 7;
int64 cmps_tab_offset = 10;
CompressInfo cmps_info = 8;
AllOffsetQuantizeInfo alloffset_quantize_info = 11;
}

message ShapeDef {
repeated int64 dim = 1;
}

enum DeviceType {
NPU = 0; // In default, we will use NPU.
CPU = 1; // CPU
}

message AllOffsetQuantizeInfo {
float scale = 1;
int32 offset = 2;
}

message TensorDescriptor {
int32 format = 1;
int32 data_type = 2;
repeated int64 dim = 3;
uint32 size = 4;
bool reuse_input = 5;
bool output_tensor = 7;
DeviceType device_type = 8;
bool input_tensor = 9;
uint32 real_dim_cnt = 10;
uint32 reuse_input_index = 11;
AllOffsetQuantizeInfo alloffset_quantize_info = 12;
}

message CompressInfo {
int32 blockRow = 1; // block row
int32 blockCol = 2; // block col
int32 fractalK = 3; // fractal K
int32 fractalN = 4; // fractal N
int32 lastFractalK = 5; // K of last fractal
int32 lastFractalN = 6; // N of last fractal
int32 cubeSize = 7; // cube's length
int32 loadDir = 8; // data load directtiono 0:col load 1:row load
}

message AttrDef {
message ListValue {
repeated string s = 2; // "list(string)"
repeated int64 i = 3 [packed = true]; // "list(int)"
repeated float f = 4 [packed = true]; // "list(float)"
repeated bool b = 5 [packed = true]; // "list(bool)"
repeated uint32 u = 6 [packed = true]; // "list(uint)"
repeated bytes bt = 7;
}

oneof value {
string s = 2; // "string"
int64 i = 3; // "int"
float f = 4; // "float"
bool b = 5; // "bool"
uint32 u = 6; // "uint32"
bytes bt = 7;
ListValue list = 1; // any "list(...)"
NamedAttrs func = 10;
}
}

// A list of attr names and their values. The whole list is attached
// with a string name. E.g., MatMul[T=float].
message NamedAttrs {
string name = 1;
map<string, AttrDef> attr = 2;
}


+ 0
- 179
ge/offline/proto/task.proto View File

@@ -1,179 +0,0 @@
/* Copyright (C) 2018. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the Apache License Version 2.0.You may not use this file except in compliance with the License.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* Apache License for more details at
* http://www.apache.org/licenses/LICENSE-2.0
*/
syntax = "proto3";

package domi;

message ModelTaskDef {
string version = 1;

map<string, string> attr = 9; // Extended field
repeated TaskDef task = 10;

uint64 memory_size = 11;
uint32 stream_num = 12;
uint32 event_num = 13;
uint64 weight_size = 14;

repeated bytes op = 15; // input/output opdef in bytes

uint64 base_addr = 16; // base addr
uint64 weight_addr = 17; // weight addr
uint32 batch_num = 18;
}


message TaskDef {
uint32 id = 1;
uint32 type = 2;

uint32 stream_id = 10;
uint32 event_id = 11;

KernelDef kernel = 20;
KernelExDef kernel_ex = 21;
KernelHcclDef kernel_hccl = 25;
EventExDef event_ex = 26;
LogTimeStampDef log_timestamp = 28;

uint32 label_id = 30;

MemcpyAsyncDef memcpy_async = 31;
StreamSwitchDef stream_switch = 32;
StreamActiveDef stream_active = 33;
bytes private_def = 34;
uint64 ops_kernel_store_ptr = 35; // adjustments to other fields in the future
StreamSwitchNDef stream_switch_n = 36;

LabelSetDef label_set = 37;
LabelGotoExDef label_goto_ex = 38;
LabelSwitchByIndexDef label_switch_by_index = 39;
KernelDefWithHandle kernel_with_handle = 40;
}

message KernelDef {
KernelContext context = 1;

string stub_func = 10;
uint32 block_dim = 11;
uint32 args_size = 12;
bytes args = 13;
bytes sm_desc = 14;
bytes flowtable = 15;
string so_name = 16;
string kernel_name = 17;
bytes kernel_ext_info = 18;
uint32 kernel_ext_info_size = 19;
}

message KernelDefWithHandle {
KernelContext context = 1;

uint64 handle = 10;
string dev_func = 11;
uint32 block_dim = 12;
uint32 args_size = 13;
bytes args = 14;
bytes sm_desc = 15;
string original_kernel_key = 16;
string node_info = 17;
}

message KernelContext {
uint32 kernel_type = 1;
uint32 op_id = 2; // OP type in CCE
uint32 kernel_func_id = 3;
uint32 op_index = 4; // TE/Custom operator
bool is_flowtable = 5; // Identify whether args is a flowtable structure
bytes args_offset = 6; // args offset information
uint32 args_count = 7; // args count
repeated uint32 origin_op_index = 8;
}


message KernelExDef {
uint32 flags = 1;

uint32 op_index = 4;
uint32 args_size = 12;
bytes args = 13;
bytes task_info = 14; // serialized nodeDef, funcDef, inputoutput
uint32 task_info_size = 15;
bytes kernel_ext_info = 16;
uint32 kernel_ext_info_size = 17;
}


message KernelHcclDef {
uint32 op_index = 8;
string hccl_type = 9;
}


message EventExDef {
uint32 op_index = 1;
uint32 event_type = 2;
}

message LogTimeStampDef {
uint64 logid = 1;
bool notify = 2;
uint32 flat = 3;
}

message MemcpyAsyncDef {
uint64 dst = 1;
uint64 dst_max = 2;
uint64 src = 3;
uint64 count = 4;
uint32 kind = 5;
uint32 op_index = 6;
}

message StreamSwitchDef {
uint32 op_index = 1;
uint32 true_stream_id = 2;
int64 value = 3;
uint64 value_ptr = 4;
uint32 data_type = 5;
}

message StreamActiveDef {
uint32 op_index = 1;
uint32 active_stream_id = 2;
}

message StreamSwitchNDef {
uint32 op_index = 1;
uint32 size = 2;
repeated int64 target_value = 3;
repeated uint32 true_stream_id = 4;
uint32 element_size = 5;
uint32 data_type = 6;
}

message LabelSetDef {
uint32 op_index = 1;
uint32 label_id = 2;
uint32 model_id = 3;
}

message LabelGotoExDef {
uint32 op_index = 1;
uint32 label_id = 2;
uint32 model_id = 3;
}

message LabelSwitchByIndexDef {
uint32 op_index = 1;
uint32 label_max = 2;
}

+ 0
- 3
ge/session/omg.cc View File

@@ -36,7 +36,6 @@
#include "graph/compute_graph.h"
#include "graph/debug/ge_attr_define.h"
#include "graph/debug/ge_attr_define.h"
#include "graph/optimize/common/params.h"
#include "graph/utils/type_utils.h"
#include "ir_build/atc_ir_common.h"
#include "omg/omg_inner_types.h"
@@ -690,8 +689,6 @@ FMK_FUNC_HOST_VISIBILITY Status ParseGraph(ge::Graph &graph, const std::map<stri
// Prevent data residue in multiple calls
PreChecker::Instance().Clear();

Params::Instance()->SetTarget(target);

// Create an empty computegraph
std::string om_name;
ParseAtcParms(atc_params, "output", om_name);


+ 0
- 11
inc/framework/common/debug/log.h View File

@@ -28,18 +28,7 @@
#include "framework/common/debug/ge_log.h"
#include "ge/ge_api_error_codes.h"

#if !defined(__ANDROID__) && !defined(ANDROID)
#define DOMI_LOGE(fmt, ...) GE_LOG_ERROR(GE_MODULE_NAME, ge::FAILED, fmt, ##__VA_ARGS__)
#else
#include <android/log.h>
#if defined(BUILD_VERSION_PERF)
#define DOMI_LOGE(fmt, ...)
#else
// The Android system has strict log control. Do not modify the log.
#define DOMI_LOGE(fmt, ...) \
__android_log_print(ANDROID_LOG_ERROR, "NPU_FMK", "%s %s(%d)::" #fmt, __FILE__, __FUNCTION__, __LINE__, ##__VA_ARGS__)
#endif
#endif

// ge marco
#define GE_LOGI_IF(condition, ...) \


+ 0
- 12
inc/framework/common/types.h View File

@@ -31,13 +31,8 @@
#include "framework/common/op_types.h"
#include "register/register_types.h"

#if !defined(__ANDROID__) && !defined(ANDROID)
#define DOMI_DYNAMIC_CAST static_cast
#define DOMI_DYNAMIC_POINTER_CAST std::static_pointer_cast
#else
#define DOMI_DYNAMIC_CAST static_cast
#define DOMI_DYNAMIC_POINTER_CAST std::static_pointer_cast
#endif

namespace ge {
// dump
@@ -78,12 +73,7 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY extern const std::string MODEL_

FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY extern const int MODEL_MAX_SIZE; // Max size of 2 GB minus 1 byte.
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY extern const uint64_t FILE_HEADER_MAX_SIZE; // Max size of 3 GB.

#if !defined(__ANDROID__) && !defined(ANDROID)
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY extern const uint64_t ALLOC_MEMORY_MAX_SIZE; // Max size of 8 GB.
#else
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY extern const uint64_t ALLOC_MEMORY_MAX_SIZE; // Max size of 512M.
#endif

template <typename K, typename V>
static std::pair<V, K> flip_pair(const std::pair<K, V> &p) {
@@ -855,9 +845,7 @@ struct ModelFileHeader {
uint8_t reserved[MODEL_FILE_RESERVED_LENGTH] = {0}; // Reserved field 75
};

static constexpr uint8_t TARGET_TYPE_LTTE_8BIT = 0;
static constexpr uint8_t TARGET_TYPE_MINI_8BIT = 1;
static constexpr uint8_t TARGET_TYPE_TINY_8BIT = 2;

static constexpr int32_t PARTITION_TYPE_MODEL_DEF = 0;
static constexpr int32_t PARTITION_TYPE_WEIGHTS = 1;


+ 0
- 9
inc/framework/omg/parser/parser_types.h View File

@@ -22,21 +22,12 @@

#include "register/register_types.h"

#if !defined(__ANDROID__) && !defined(ANDROID)
#ifndef DOMI_DYNAMIC_CAST
#define DOMI_DYNAMIC_CAST static_cast
#endif
#ifndef DOMI_DYNAMIC_POINTER_CAST
#define DOMI_DYNAMIC_POINTER_CAST std::static_pointer_cast
#endif
#else
#ifndef DOMI_DYNAMIC_CAST
#define DOMI_DYNAMIC_CAST static_cast
#endif
#ifndef DOMI_DYNAMIC_POINTER_CAST
#define DOMI_DYNAMIC_POINTER_CAST std::static_pointer_cast
#endif
#endif

namespace ge {
namespace parser {


+ 0
- 1
tests/ut/ge/gen_node.h View File

@@ -25,7 +25,6 @@
#include "common/types.h"
#include "graph/compute_graph.h"
#include "graph/op_desc.h"
#include "graph/optimize/common/params.h"
#include "graph/types.h"
#include "graph/utils/attr_utils.h"
#include "graph/utils/graph_utils.h"


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