@@ -68,11 +68,12 @@ elseif(DEFINED ENV{D_LINK_PATH}) | |||
find_library(slog libslog.so ${GE_LIB_PATH}) | |||
find_library(mmpa libmmpa.so ${GE_LIB_PATH}) | |||
find_library(runtime libruntime.so ${GE_LIB_PATH}) | |||
find_library(msprof libmsprof.so ${GE_LIB_PATH}) | |||
find_library(msprof libmsprofiler.a ${GE_LIB_PATH}) | |||
find_library(register libregister.so ${GE_LIB_PATH}) | |||
find_library(hccl libhccl.so ${GE_LIB_PATH}) | |||
find_library(resource libresource.so ${GE_LIB_PATH}) | |||
find_library(error_manager liberror_manager.so ${GE_LIB_PATH}) | |||
find_library(adump_server libadump_server.a ${GE_LIB_PATH}) | |||
else() | |||
# Ascend mode | |||
if(DEFINED ENV{ASCEND_CUSTOM_PATH}) | |||
@@ -84,13 +85,14 @@ else() | |||
set(ASCEND_RUNTIME_DIR ${ASCEND_DIR}/fwkacllib/lib64) | |||
find_library(slog libslog.so ${ASCEND_DRIVER_DIR}) | |||
find_library(mmpa libmmpa.so ${ASCEND_DRIVER_DIR}) | |||
find_library(msprof libmsprof.so ${ASCEND_DRIVER_DIR}) | |||
find_library(msprof libmsprofiler.a ${ASCEND_RUNTIME_DIR}) | |||
find_library(hccl libhccl.so ${ASCEND_RUNTIME_DIR}) | |||
find_library(runtime libruntime.so ${ASCEND_RUNTIME_DIR}) | |||
find_library(register libregister.so ${ASCEND_RUNTIME_DIR}) | |||
find_library(resource libresource.so ${ASCEND_RUNTIME_DIR}) | |||
find_library(error_manager liberror_manager.so ${ASCEND_RUNTIME_DIR}) | |||
find_library(adump_server libadump_server.a ${ASCEND_RUNTIME_DIR}) | |||
endif() | |||
# add compile flags | |||
@@ -0,0 +1,102 @@ | |||
/** | |||
* Copyright 2019-2020 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 INC_EXTERNAL_GE_GE_PROF_H_ | |||
#define INC_EXTERNAL_GE_GE_PROF_H_ | |||
#include <map> | |||
#include <string> | |||
#include <vector> | |||
#include "ge/ge_api_error_codes.h" | |||
namespace ge { | |||
enum ProfDataTypeConfig { | |||
kProfTaskTime = 0x0002, | |||
kProfAiCoreMetrics = 0x0004, | |||
kProfAicpuTrace = 0x0008, | |||
kProfTrainingTrace = 0x0800, | |||
kProfHcclTrace = 0x1000 | |||
}; | |||
enum ProfilingAicoreMetrics { | |||
kAicoreArithmaticThroughput = 0, | |||
kAicorePipeline = 1, | |||
kAicoreSynchronization = 2, | |||
kAicoreMemory = 3, | |||
kAicoreInternalMemory = 4, | |||
kAicoreStall = 5 | |||
}; | |||
typedef struct ProfAicoreEvents ProfAicoreEvents; | |||
typedef struct aclgrphProfConfig aclgrphProfConfig; | |||
/// | |||
/// @ingroup AscendCL | |||
/// @brief Initialize the profiling and set profiling configuration path | |||
/// @param [in] profiler_path: configuration path of profiling | |||
/// @param [in] length: length of configuration path | |||
/// @return Status result of function | |||
/// | |||
Status aclgrphProfInit(const char *profiler_path, uint32_t length); | |||
/// | |||
/// @ingroup AscendCL | |||
/// @brief Finalize profiling | |||
/// @return Status result of function | |||
/// | |||
Status aclgrphProfFinalize(); | |||
/// | |||
/// @ingroup AscendCL | |||
/// @brief Create data of type aclgrphProfConfig | |||
/// @param [in] deviceid_list: device id list | |||
/// @param [in] device_nums: device numbers | |||
/// @param [in] aicore_metrics: type of aicore metrics | |||
/// @param [in] aicore_events: pointer to aicore events be reserved, only support NULL now | |||
/// @param [in] data_type_config: modules need profiling | |||
/// @return Status result of function | |||
/// | |||
aclgrphProfConfig *aclgrphProfCreateConfig(uint32_t *deviceid_list, uint32_t device_nums, | |||
ProfilingAicoreMetrics aicore_metrics, ProfAicoreEvents *aicore_events, | |||
uint64_t data_type_config); | |||
/// | |||
/// @ingroup AscendCL | |||
/// @brief Destroy data of type aclgrphProfConfig | |||
/// @param [in] profiler_config: config of profiling | |||
/// @return Status result of function | |||
/// | |||
Status aclgrphProfDestroyConfig(aclgrphProfConfig *profiler_config); | |||
/// | |||
/// @ingroup AscendCL | |||
/// @brief Start profiling of modules which is configured by profiler config | |||
/// @param [in] profiler_config: config of profiling | |||
/// @return Status result of function | |||
/// | |||
Status aclgrphProfStart(aclgrphProfConfig *profiler_config); | |||
/// | |||
/// @ingroup AscendCL | |||
/// @brief Stop profiling of modules which is configured by profiler config | |||
/// @param [in] profiler_config: config of profiling | |||
/// @return Status result of function | |||
/// | |||
Status aclgrphProfStop(aclgrphProfConfig *profiler_config); | |||
} // namespace ge | |||
#endif // INC_EXTERNAL_GE_GE_PROF_H_ |
@@ -97,6 +97,7 @@ GE_ERRORNO_COMMON(INTERNAL_ERROR, 4, "Internal errors"); // 1343225 | |||
GE_ERRORNO_COMMON(CSEC_ERROR, 5, "Failed to call libc_sec API!"); // 1343225861 | |||
GE_ERRORNO_COMMON(TEE_ERROR, 6, "Failed to call tee API!"); // 1343225862 | |||
GE_ERRORNO_COMMON(END_OF_SEQUENCE, 7, "End of sequence!"); // 1343225863 | |||
GE_ERRORNO_COMMON(PATH_INVALID, 8, "Path is invalid!"); // 1343225864 | |||
// Error code for plugin manager | |||
GE_ERRORNO_COMMON(GE_PLGMGR_PATH_INVALID, 30, "Path is invalid!"); // 1343225886 | |||
@@ -124,9 +125,13 @@ GE_ERRORNO_CLIENT(GE_CLI_GE_ALREADY_INITIALIZED, 10, "GE is already initialized. | |||
GE_ERRORNO_CLIENT(GE_CLI_GE_NOT_INITIALIZED, 11, "GE is not yet initialized or is finalized."); // 1343229963 | |||
// Init module error code definition | |||
GE_ERRORNO_INIT(GE_MULTI_INIT, 0, "Multiple initializations are not supported."); // 1343234048 | |||
GE_ERRORNO_INIT(GE_FINALIZE_NOT_INIT, 1, "Finalize is not allowed before initialization."); // 1343234049 | |||
GE_ERRORNO_INIT(GE_MULTI_FINALIZE, 2, "Multiple finalizations are not supported."); // 1343234050 | |||
GE_ERRORNO_INIT(GE_MULTI_INIT, 0, "Multiple initializations are not supported."); // 1343234048 | |||
GE_ERRORNO_INIT(GE_FINALIZE_NOT_INIT, 1, "Finalize is not allowed before initialization."); // 1343234049 | |||
GE_ERRORNO_INIT(GE_MULTI_FINALIZE, 2, "Multiple finalizations are not supported."); // 1343234050 | |||
GE_ERRORNO_INIT(GE_PROF_MULTI_INIT, 3, "Multiple profiling initializations are not supported."); // 1343234051 | |||
GE_ERRORNO_INIT(GE_PROF_NOT_INIT, 4, "Profing initializations have not been done."); // 1343234052 | |||
GE_ERRORNO_INIT(GE_PROF_MODE_CONFLICT, 5, | |||
"Profiling command mode which is preferred is running, the api mode will not work."); // 1343234053 | |||
// Session module error code definition | |||
GE_ERRORNO_SESSION(GE_SESS_INIT_FAILED, 0, "Failed to initialize session."); // 1343238144 | |||
@@ -48,6 +48,8 @@ enum OpEngineType { | |||
ENGINE_AIVECTOR = 4 // not support | |||
}; | |||
enum InputAippType { DATA_WITHOUT_AIPP = 0, DATA_WITH_STATIC_AIPP, DATA_WITH_DYNAMIC_AIPP, DYNAMIC_AIPP_NODE }; | |||
const char *const GE_ENGINE_ATTR_MEM_TYPE_HBM = "HBM"; | |||
const char *const GE_OPTION_EXEC_PLACEMENT = "ge.exec.placement"; | |||
@@ -61,8 +61,10 @@ class StringUtils { | |||
/// @param [in] delim separator | |||
/// @return string array after segmentation | |||
/// | |||
/*lint -e1077*/ | |||
static std::vector<std::string> Split(const std::string &str, char delim) { | |||
std::vector<std::string> elems; | |||
/*lint +e1077*/ | |||
if (str.empty()) { | |||
elems.emplace_back(""); | |||
@@ -398,6 +398,24 @@ bool CheckOutputPathValid(const std::string &file_path, const std::string &atc_p | |||
/// @param [out] result | |||
/// | |||
bool ValidateStr(const std::string &filePath, const std::string &mode); | |||
/// | |||
/// @ingroup domi_common | |||
/// @brief Check whether the file is normal file. | |||
/// @param [in] file_path file path | |||
/// @param [out] result | |||
/// | |||
bool IsValidFile(const char *file_path); | |||
/// | |||
/// @ingroup domi_common | |||
/// @brief Check path invalid | |||
/// @param [in] path, path to be checked | |||
/// @param [in] length, length of path | |||
/// @return 0 success | |||
/// @return -1 fail | |||
/// | |||
Status CheckPath(const char *path, size_t length); | |||
} // namespace ge | |||
#endif // INC_FRAMEWORK_COMMON_UTIL_H_ |
@@ -163,6 +163,8 @@ class GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY GeExecutor { | |||
ge::Status GetAIPPInfo(uint32_t model_id, uint32_t index, AippConfigInfo &aipp_info); | |||
ge::Status GetModelAttr(uint32_t model_id, std::vector<std::string> &dynamic_output_shape_info); | |||
ge::Status GetAippType(uint32_t model_id, uint32_t index, InputAippType &type, size_t &aipp_index); | |||
ge::Status GetModelDescInfoForZeroCopy(uint32_t model_id, std::vector<ge::TensorDesc> &input_desc, | |||
std::vector<ge::TensorDesc> &output_desc); | |||
@@ -92,6 +92,9 @@ struct OmgContext { | |||
std::map<std::string, std::vector<int32_t>> out_nodes_map; | |||
// user-designate out nodes (this is used for determing the orders) | |||
std::vector<std::pair<std::string, int32_t>> user_out_nodes; | |||
// save the output node of the network, value = topName, | |||
// topName indicates the output name of the operator. | |||
std::vector<std::string> user_out_nodes_top_vec; | |||
// net out nodes (where user_out_nodes or leaf nodes) | |||
std::vector<std::string> net_out_nodes; | |||
// net out nodes top names(only caffe has top) | |||
@@ -141,6 +141,11 @@ GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAM | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_AIPP_OUTPUTS; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_INPUT_DIMS; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_DYNAMIC_AIPP_INPUT_DIMS; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_DATA_RELATED_AIPP_MODE; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_DATA_AIPP_DATA_NAME_MAP; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_GRAPH_HAS_BEEN_ADDED; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_SESSION_GRAPH_ID; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_PARENT_GRAPH_NAME; | |||
@@ -1047,6 +1052,10 @@ GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAM | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_OP_DEBUG_FLAG; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_OP_DEBUG_MODE; | |||
// op dynamic input | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_DYNAMIC_INPUT_START; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_DYNAMIC_INPUT_END; | |||
// functional ops attr | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_IF_THEN_BRANCH; | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY extern const std::string ATTR_NAME_IF_ELSE_BRANCH; | |||
@@ -235,7 +235,8 @@ class OpDesc : public std::enable_shared_from_this<OpDesc>, public AttrHolder { | |||
vector<string> GetOpInferDepends() const; | |||
string GetInputNameByIndex(uint32_t index) const; | |||
string GetValidInputNameByIndex(uint32_t index) const; | |||
int GetValidInputIndexByName(const string &name) const; | |||
int GetInputIndexByName(const string &name) const; | |||
string GetOutputNameByIndex(uint32_t index) const; | |||
@@ -22,8 +22,10 @@ | |||
template <class E, class O> | |||
class RangeVistor { | |||
public: | |||
/*lint -e151*/ | |||
using Iterator = typename std::vector<E>::iterator; | |||
using ConstIterator = typename std::vector<E>::const_iterator; | |||
/*lint +e151*/ | |||
RangeVistor(O owner, const std::vector<E> &vs) : owner_(owner), elements_(vs) {} | |||
@@ -41,7 +43,9 @@ class RangeVistor { | |||
bool empty() const { return elements_.empty(); } | |||
/*lint -e659*/ | |||
E &at(std::size_t index) { return elements_.at(index); } | |||
/*lint +e659*/ | |||
const E &at(std::size_t index) const { return elements_.at(index); } | |||
@@ -23,6 +23,7 @@ | |||
#include <vector> | |||
#include "external/graph/ge_error_codes.h" | |||
#include "external/graph/tensor.h" | |||
#include "ge_attr_value.h" | |||
namespace ge { | |||
class GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY RuntimeInferenceContext { | |||
@@ -32,10 +33,12 @@ class GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY RuntimeInferenceContext { | |||
static void DestroyContext(const std::string &context_id); | |||
graphStatus SetTensor(int64_t node_id, int output_id, Tensor &&tensor); | |||
graphStatus GetTensor(int64_t node_id, int output_id, GeTensorPtr &tensor); | |||
graphStatus GetTensor(int64_t node_id, int output_id, Tensor &tensor); | |||
private: | |||
std::map<int64_t, std::vector<Tensor>> tensors_; | |||
std::map<int64_t, std::vector<GeTensorPtr>> ge_tensors_; | |||
std::mutex mu_; | |||
static std::map<std::string, std::unique_ptr<RuntimeInferenceContext>> contexts_; | |||
@@ -53,6 +53,7 @@ class OpDescUtils { | |||
static vector<GeTensorPtr> MutableWeights(const ge::NodePtr node); | |||
static graphStatus SetWeights(ge::Node& node, const vector<ge::GeTensorPtr>& weights); | |||
static graphStatus SetWeights(ge::NodePtr node, const vector<ge::GeTensorPtr>& weights); | |||
static graphStatus SetWeights(ge::Node& node, const map<int, ge::GeTensorPtr>& weights_map); | |||
static graphStatus ClearWeights(ge::NodePtr node); | |||
static bool ClearInputDesc(ge::OpDescPtr op_desc, uint32_t index); | |||
@@ -24,7 +24,7 @@ file(GLOB_RECURSE PROTO_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
"../../proto/task.proto" | |||
"../../proto/fwk_adaper.proto" | |||
"../../proto/op_mapping_info.proto" | |||
"../proto/dump_task.proto" | |||
"../../proto/dump_task.proto" | |||
) | |||
file(GLOB_RECURSE ONNX_PROTO_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
@@ -658,7 +658,7 @@ ComputeGraph::UpdateOutputMapping(const std::map<uint32_t, uint32_t> &output_map | |||
return GRAPH_FAILED; | |||
} | |||
size_t num = op_desc->GetInputsSize(); | |||
size_t num = op_desc->GetAllInputsSize(); | |||
for (size_t i = 0; i < num; i++) { | |||
GeTensorDesc tensor = op_desc->GetInputDesc(i); | |||
uint32_t cur_index = 0; | |||
@@ -28,7 +28,7 @@ using std::unordered_set; | |||
void AttrHolder::CopyAttrsFrom(const AttrHolder &holder) { MutableAttrMap().CopyValueFrom(holder.GetAttrMap()); } | |||
graphStatus AttrHolder::SetAttr(const std::string &name, const GeAttrValue &value) { | |||
if (value.IsEmpty()) { | |||
GELOGE(GRAPH_FAILED, "value is empty, key %s", name.c_str()); | |||
GELOGE(GRAPH_FAILED, "value is empty, key of the attr is %s", name.c_str()); | |||
return GRAPH_FAILED; | |||
} | |||
auto proto_map = MutableAttrMap().GetProtoMsg(); | |||
@@ -149,9 +149,10 @@ graphStatus FormatRefiner::GetAnchorPoints(const ge::ComputeGraphPtr &graph, std | |||
// consider special node save process | |||
// get all input desc format | |||
bool node_is_all_nd = false; | |||
auto input_size = static_cast<uint32_t>(op_desc->GetInputsSize()); | |||
auto input_size = static_cast<uint32_t>(op_desc->GetAllInputsSize()); | |||
for (uint32_t i = 0; i < input_size; i++) { | |||
// Operator pre-set format but not origin format | |||
GE_IF_BOOL_EXEC(op_desc->MutableInputDesc(i) == nullptr, continue); | |||
auto input_format = op_desc->MutableInputDesc(i)->GetFormat(); | |||
// Pre-save data node (only main graph data) and default infer fail | |||
if (node_ptr->GetType() == DATA) { | |||
@@ -164,6 +165,7 @@ graphStatus FormatRefiner::GetAnchorPoints(const ge::ComputeGraphPtr &graph, std | |||
// Get all output desc format | |||
auto output_size = static_cast<uint32_t>(op_desc->GetOutputsSize()); | |||
for (uint32_t i = 0; i < output_size; i++) { | |||
GE_IF_BOOL_EXEC(op_desc->MutableOutputDesc(i) == nullptr, continue); | |||
auto output_format = op_desc->MutableOutputDesc(i)->GetFormat(); | |||
if (output_format != FORMAT_ND && output_format != FORMAT_RESERVED) { | |||
node_is_all_nd = true; | |||
@@ -222,8 +224,9 @@ graphStatus FormatRefiner::BackInferProcess(std::deque<ge::NodePtr> &nodes, ge:: | |||
for (const auto &in_anchor : node->GetAllInDataAnchors()) { | |||
GELOGD("Node is [%s] [B]", (node->GetName()).c_str()); | |||
auto in_data_anchor_idx = in_anchor->GetIdx(); | |||
auto to_be_set_format = | |||
node->GetOpDesc()->MutableInputDesc(static_cast<uint32_t>(in_data_anchor_idx))->GetOriginFormat(); | |||
auto input_desc = node->GetOpDesc()->MutableInputDesc(static_cast<uint32_t>(in_data_anchor_idx)); | |||
GE_IF_BOOL_EXEC(input_desc == nullptr, continue); | |||
auto to_be_set_format = input_desc->GetOriginFormat(); | |||
if (to_be_set_format == FORMAT_ND) { | |||
GELOGD("Node [%s] [B], format is ND", (node->GetName()).c_str()); | |||
continue; | |||
@@ -122,6 +122,11 @@ const std::string ATTR_NAME_AIPP_INPUTS = "_aipp_inputs"; | |||
const std::string ATTR_NAME_AIPP_OUTPUTS = "_aipp_outputs"; | |||
const std::string ATTR_NAME_INPUT_DIMS = "input_dims"; | |||
const std::string ATTR_DYNAMIC_AIPP_INPUT_DIMS = "_dynamic_aipp_input_dims"; | |||
const std::string ATTR_DATA_RELATED_AIPP_MODE = "_data_related_aipp_mode"; | |||
const std::string ATTR_DATA_AIPP_DATA_NAME_MAP = "_data_aipp_data_name_map"; | |||
const std::string ATTR_NAME_GRAPH_HAS_BEEN_ADDED = "_graph_has_been_added"; | |||
const std::string ATTR_NAME_SESSION_GRAPH_ID = "_session_graph_id"; | |||
const std::string ATTR_NAME_PARENT_GRAPH_NAME = "_parent_graph_name"; | |||
@@ -1055,6 +1060,10 @@ const std::string ATTR_NAME_HCCL_FUSED_FLAG = "_hccl_fused_node"; | |||
const std::string ATTR_DYNAMIC_SHAPE_FIXED_ADDR = "_alloc_fixed_addr"; | |||
const std::string ATTR_DYNAMIC_SHAPE_FIXED_ADDR_INDEX = "_alloc_fixed_addr_index"; | |||
// op dynamic input | |||
const std::string ATTR_NAME_DYNAMIC_INPUT_START = "_dynamic_input_index_start"; | |||
const std::string ATTR_NAME_DYNAMIC_INPUT_END = "_dynamic_input_index_end"; | |||
// atc user def dtype&format | |||
const std::string ATTR_ATC_USER_DEFINE_DATATYPE = "_user_defined_data_type"; | |||
const std::string ATTR_ATC_USER_DEFINE_FORMAT = "_user_defined_format"; | |||
@@ -431,7 +431,7 @@ graphStatus GeTensorDesc::GetShapeRange(std::vector<std::pair<int64_t, int64_t>> | |||
return GRAPH_FAILED; | |||
} | |||
std::pair<int64_t, int64_t> pair({ele[0], ele[1]}); | |||
range.push_back(pair); | |||
range.emplace_back(pair); | |||
} | |||
return GRAPH_SUCCESS; | |||
@@ -33,7 +33,6 @@ COMMON_LOCAL_SRC_FILES := \ | |||
./utils/tuning_utils.cc \ | |||
./utils/graph_utils.cc \ | |||
./utils/ge_ir_utils.cc \ | |||
./utils/node_utils.cc \ | |||
./utils/op_desc_utils.cc \ | |||
./utils/type_utils.cc \ | |||
./utils/tensor_utils.cc \ | |||
@@ -44,6 +43,7 @@ COMMON_LOCAL_SRC_FILES := \ | |||
option/ge_context.cc \ | |||
option/ge_local_context.cc \ | |||
./runtime_inference_context.cc \ | |||
./utils/node_utils.cc \ | |||
COMMON_LOCAL_C_INCLUDES := \ | |||
proto/om.proto \ | |||
@@ -68,7 +68,7 @@ graphStatus Node::Init() { | |||
return GRAPH_SUCCESS; | |||
} | |||
GE_CHK_BOOL_EXEC(op_ != nullptr, return GRAPH_FAILED, "original OpDesc is nullptr"); | |||
size_t size = op_->GetInputsSize(); | |||
size_t size = op_->GetAllInputsSize(); | |||
for (size_t i = 0; i < size; i++) { | |||
std::shared_ptr<InDataAnchor> anchor = ComGraphMakeShared<InDataAnchor>(shared_from_this(), i); | |||
if (anchor == nullptr) { | |||
@@ -305,13 +305,19 @@ GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY graphStatus Node::AddLinkFrom(con | |||
GELOGE(GRAPH_FAILED, "add input desc failed."); | |||
return GRAPH_FAILED; | |||
} | |||
std::shared_ptr<InDataAnchor> anchor = ComGraphMakeShared<InDataAnchor>(shared_from_this(), in_data_anchors_.size()); | |||
if (anchor == nullptr) { | |||
GELOGE(GRAPH_FAILED, "out_anchor size is:%zu, malloc shared_ptr failed.", out_anchors.size()); | |||
return GRAPH_FAILED; | |||
if (index < GetAllInDataAnchors().size()) { | |||
(void)out_anchors.at(0)->LinkTo(in_data_anchors_[index]); | |||
} else { | |||
std::shared_ptr<InDataAnchor> anchor = | |||
ComGraphMakeShared<InDataAnchor>(shared_from_this(), in_data_anchors_.size()); | |||
if (anchor == nullptr) { | |||
GELOGE(GRAPH_FAILED, "out_anchor size is:%zu, malloc shared_ptr failed.", out_anchors.size()); | |||
return GRAPH_FAILED; | |||
} | |||
in_data_anchors_.push_back(anchor); | |||
(void)out_anchors.at(0)->LinkTo(in_data_anchors_.back()); | |||
} | |||
in_data_anchors_.push_back(anchor); | |||
(void)out_anchors.at(0)->LinkTo(in_data_anchors_.back()); | |||
return GRAPH_SUCCESS; | |||
} | |||
@@ -347,20 +353,30 @@ GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY graphStatus Node::AddLinkFrom(con | |||
} | |||
GE_CHECK_NOTNULL(op_); | |||
auto op_desc = input_node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(op_desc); | |||
if (op_->AddInputDesc(name, op_desc->GetOutputDesc(0)) != GRAPH_SUCCESS) { | |||
GELOGE(GRAPH_FAILED, "add input desc failed."); | |||
return GRAPH_FAILED; | |||
auto input_op_desc = input_node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(input_op_desc); | |||
auto index = op_->GetInputIndexByName(name); | |||
if (index != -1) { | |||
if (index >= static_cast<int>(in_data_anchors_.size())) { | |||
GELOGE(GRAPH_FAILED, "op %s get input name %s 's index %d is illegal.", op_->GetName().c_str(), name.c_str(), | |||
index); | |||
return GRAPH_FAILED; | |||
} | |||
(void)out_anchors.at(0)->LinkTo(in_data_anchors_[index]); | |||
} else { | |||
std::shared_ptr<InDataAnchor> anchor = | |||
ComGraphMakeShared<InDataAnchor>(shared_from_this(), in_data_anchors_.size()); | |||
if (anchor == nullptr) { | |||
GELOGE(GRAPH_FAILED, "in_data_anchors_size is:%zu, malloc shared_ptr failed.", in_data_anchors_.size()); | |||
return GRAPH_FAILED; | |||
} | |||
in_data_anchors_.push_back(anchor); | |||
(void)out_anchors.at(0)->LinkTo(in_data_anchors_.back()); | |||
} | |||
std::shared_ptr<InDataAnchor> anchor = ComGraphMakeShared<InDataAnchor>(shared_from_this(), in_data_anchors_.size()); | |||
if (anchor == nullptr) { | |||
GELOGE(GRAPH_FAILED, "out_anchor size is:%zu, malloc shared_ptr failed.", out_anchors.size()); | |||
if (op_->AddInputDesc(name, input_op_desc->GetOutputDesc(0)) != GRAPH_SUCCESS) { | |||
GELOGE(GRAPH_FAILED, "add input desc failed."); | |||
return GRAPH_FAILED; | |||
} | |||
in_data_anchors_.push_back(anchor); | |||
(void)out_anchors.at(0)->LinkTo(in_data_anchors_.back()); | |||
return GRAPH_SUCCESS; | |||
} | |||
@@ -746,9 +762,10 @@ graphStatus Node::Verify() const { | |||
if (!is_unknown_graph) { | |||
for (const auto &in_anchor_ptr : GetAllInDataAnchors()) { | |||
GE_IF_BOOL_EXEC(in_anchor_ptr == nullptr, GELOGW("in anchor ptr is null"); continue); | |||
bool valid_anchor = op_->GetType() == data_type || op_->GetType() == aipp_data_type || | |||
op_->GetType() == const_type || op_->GetType() == variable_type || | |||
op_->IsOptionalInput(in_anchor_ptr->GetIdx()) || in_anchor_ptr->GetPeerAnchors().size() > 0; | |||
bool valid_anchor = | |||
op_->GetType() == data_type || op_->GetType() == aipp_data_type || op_->GetType() == const_type || | |||
op_->GetType() == variable_type || op_->IsOptionalInput(in_anchor_ptr->GetIdx()) || | |||
op_->MutableInputDesc(in_anchor_ptr->GetIdx()) == nullptr || in_anchor_ptr->GetPeerAnchors().size() > 0; | |||
if (!valid_anchor) { | |||
ErrorManager::GetInstance().ATCReportErrMessage("E11019", {"opname", "index"}, | |||
{GetName(), std::to_string(in_anchor_ptr->GetIdx())}); | |||
@@ -347,7 +347,10 @@ graphStatus OpDesc::AddOptionalInputDesc(const string &name, const ge::GeTensorD | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY graphStatus | |||
OpDesc::UpdateInputDesc(uint32_t index, const ge::GeTensorDesc &tensor_Desc) { | |||
GE_CHK_BOOL_RET_STATUS((index < inputs_desc_.size()), GRAPH_FAILED, "The index is invalid. index[%u]", index); | |||
if (index >= inputs_desc_.size()) { | |||
GELOGW("The index is invalid. index[%u]", index); | |||
return GRAPH_FAILED; | |||
} | |||
inputs_desc_[index] = ComGraphMakeShared<GeTensorDesc>(tensor_Desc); | |||
if (inputs_desc_[index] == nullptr) { | |||
@@ -675,7 +678,7 @@ GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY ConstGeTensorDescPtr OpDesc::GetI | |||
return nullptr; | |||
} | |||
if (inputs_desc_[index]->IsValid() != GRAPH_SUCCESS) { | |||
GELOGE(GRAPH_FAILED, "inputsDesc[%u] is InValid", index); | |||
GELOGW("inputsDesc[%u] is InValid", index); | |||
return nullptr; | |||
} else { | |||
return inputs_desc_[static_cast<size_t>(index)]; | |||
@@ -949,6 +952,43 @@ int OpDesc::GetInputIndexByName(const string &name) const { | |||
return static_cast<int>(it_find->second); | |||
} | |||
int OpDesc::GetValidInputIndexByName(const string &name) const { | |||
map<string, uint32_t> valid_input_name_idx{}; | |||
uint32_t j = 0; | |||
for (size_t i = 0; i < GetAllInputsSize(); i++) { | |||
if (MutableInputDesc(static_cast<uint32_t>(i)) != nullptr) { | |||
auto valid_name = GetInputNameByIndex(static_cast<uint32_t>(i)); | |||
GE_CHK_BOOL_RET_STATUS_NOLOG(!valid_name.empty(), -1); | |||
valid_input_name_idx.insert({valid_name, j}); | |||
j++; | |||
} | |||
} | |||
auto it_find = valid_input_name_idx.find(name); | |||
GE_CHK_BOOL_RET_STATUS_NOLOG(it_find != valid_input_name_idx.end(), -1); | |||
return static_cast<int>(it_find->second); | |||
} | |||
string OpDesc::GetValidInputNameByIndex(uint32_t index) const { | |||
map<string, uint32_t> valid_input_name_idx{}; | |||
uint32_t j = 0; | |||
for (size_t i = 0; i < GetAllInputsSize(); i++) { | |||
if (MutableInputDesc(static_cast<uint32_t>(i)) != nullptr) { | |||
auto valid_name = GetInputNameByIndex(static_cast<uint32_t>(i)); | |||
GE_CHK_BOOL_RET_STATUS_NOLOG(!valid_name.empty(), ""); | |||
valid_input_name_idx.insert({valid_name, j}); | |||
j++; | |||
} | |||
} | |||
auto it = valid_input_name_idx.begin(); | |||
for (; it != valid_input_name_idx.end(); ++it) { | |||
if (it->second == index) { | |||
break; | |||
} | |||
} | |||
GE_CHK_BOOL_RET_STATUS_NOLOG(it != valid_input_name_idx.end(), ""); | |||
return it->first; | |||
} | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY string OpDesc::GetOutputNameByIndex(uint32_t index) const { | |||
auto it = output_name_idx_.begin(); | |||
for (; it != output_name_idx_.end(); ++it) { | |||
@@ -1504,7 +1504,9 @@ class GraphBuilderImpl { | |||
GE_CHK_BOOL_EXEC(dst_anchor != nullptr, return GRAPH_FAILED, "GetInDataAnchor failed."); | |||
auto ret = GraphUtils::AddEdge(src_anchor, dst_anchor); | |||
GE_CHK_BOOL_EXEC(ret == GRAPH_SUCCESS, return GRAPH_FAILED, "AddEdge failed."); | |||
GE_CHK_BOOL_EXEC(ret == GRAPH_SUCCESS, return GRAPH_FAILED, | |||
"from node[%s][%d] to node[%s][%d]AddEdge failed.", src_node_ptr->GetName().c_str(), | |||
src_anchor->GetIdx(), dst_node_info->second->GetName().c_str(), dst_anchor->GetIdx()); | |||
} | |||
} | |||
auto out_control_anchor = src_node_ptr->GetOutControlAnchor(); | |||
@@ -1536,19 +1538,23 @@ inline bool HasSameNameNode(const ComputeGraphPtr &compute_graph) { | |||
for (const auto &graph : compute_graph->GetAllSubgraphs()) { | |||
std::set<string> node_names; | |||
for (auto const &node : graph->GetDirectNode()) { | |||
node_names.insert(node->GetName()); | |||
} | |||
if (node_names.size() != graph->GetDirectNodesSize()) { | |||
return true; | |||
auto result = node_names.insert(node->GetName()); | |||
if (!result.second) { | |||
GELOGE(GRAPH_FAILED, "graph %s has same name node%s", graph->GetName().c_str(), node->GetName().c_str()); | |||
return true; | |||
} | |||
} | |||
} | |||
std::set<string> node_names; | |||
for (auto const &node : compute_graph->GetDirectNode()) { | |||
node_names.insert(node->GetName()); | |||
auto result = node_names.insert(node->GetName()); | |||
if (!result.second) { | |||
GELOGE(GRAPH_FAILED, "graph %s has same name node%s", compute_graph->GetName().c_str(), node->GetName().c_str()); | |||
return true; | |||
} | |||
} | |||
return node_names.size() != compute_graph->GetDirectNodesSize(); | |||
return false; | |||
} | |||
ComputeGraphPtr GraphUtils::CreateGraphFromOperator(const string &name, const vector<ge::Operator> &inputs) { | |||
@@ -56,7 +56,7 @@ class RefRelations::Impl { | |||
} | |||
return GRAPH_SUCCESS; | |||
} | |||
GELOGW("can not find any relations! key value is %s", lookup_key.c_str()); | |||
GELOGW("can not find any relations! key value of dest relation is %s", lookup_key.c_str()); | |||
return GRAPH_SUCCESS; | |||
}; | |||
graphStatus BuildRefRelations(ge::ComputeGraph &root_graph); | |||
@@ -15,6 +15,7 @@ | |||
*/ | |||
#include "graph/runtime_inference_context.h" | |||
#include "graph/utils/tensor_adapter.h" | |||
#include <cstdint> | |||
#include "framework/common/debug/ge_log.h" | |||
@@ -67,6 +68,14 @@ graphStatus RuntimeInferenceContext::SetTensor(int64_t node_id, int output_id, T | |||
GELOGD("Set tensor for node_id = %ld, output_id = %d", node_id, output_id); | |||
output_tensors[output_id] = std::move(tensor); | |||
auto &output_ge_tensors = ge_tensors_[node_id]; | |||
if (static_cast<uint32_t>(output_id) >= output_ge_tensors.size()) { | |||
output_ge_tensors.resize(output_id + 1); | |||
} | |||
GELOGD("Set ge tensor for node_id = %ld, output_id = %d", node_id, output_id); | |||
output_ge_tensors[output_id] = TensorAdapter::AsGeTensorPtr(tensor); | |||
return GRAPH_SUCCESS; | |||
} | |||
@@ -93,4 +102,28 @@ graphStatus RuntimeInferenceContext::GetTensor(int64_t node_id, int output_id, T | |||
tensor = output_tensors[output_id]; | |||
return GRAPH_SUCCESS; | |||
} | |||
graphStatus RuntimeInferenceContext::GetTensor(int64_t node_id, int output_id, GeTensorPtr &tensor) { | |||
if (output_id < 0) { | |||
GELOGE(GRAPH_PARAM_INVALID, "Invalid output index: %d", output_id); | |||
return GRAPH_PARAM_INVALID; | |||
} | |||
std::lock_guard<std::mutex> lk(mu_); | |||
auto iter = ge_tensors_.find(node_id); | |||
if (iter == ge_tensors_.end()) { | |||
GELOGE(INTERNAL_ERROR, "Node not register. Id = %ld", node_id); | |||
return INTERNAL_ERROR; | |||
} | |||
auto &output_tensors = iter->second; | |||
if (static_cast<uint32_t>(output_id) >= output_tensors.size()) { | |||
GELOGE(GRAPH_FAILED, "Node output is not registered. node_id = %ld, output index = %d", node_id, output_id); | |||
return GRAPH_FAILED; | |||
} | |||
GELOGD("Get ge tensor for node_id = %ld, output_id = %d", node_id, output_id); | |||
tensor = output_tensors[output_id]; | |||
return GRAPH_SUCCESS; | |||
} | |||
} // namespace ge |
@@ -51,6 +51,9 @@ graphStatus ReverseBrushWhileBodySubGraph(const ConstNodePtr &node) { | |||
for (const auto &node_sub : sub_graph_body->GetAllNodes()) { | |||
for (size_t i = 0; i < node_sub->GetAllInDataAnchorsSize(); i++) { | |||
auto input_desc = node_sub->GetOpDesc()->MutableInputDesc(i); | |||
GE_IF_BOOL_EXEC(input_desc == nullptr, | |||
GELOGW("Get null input by index %zu from node %s ", i, node_sub->GetName().c_str()); | |||
continue); | |||
(void)input_desc->SetUnknownDimNumShape(); | |||
} | |||
for (size_t i = 0; i < node_sub->GetAllOutDataAnchorsSize(); i++) { | |||
@@ -376,10 +379,13 @@ graphStatus UpdateOpInputDesc(const ConstNodePtr &node_ptr) { | |||
continue; | |||
} | |||
int peer_out_idx = peer_out_data_anchor->GetIdx(); | |||
auto in_desc = node_ptr->GetOpDesc()->MutableInputDesc(static_cast<uint32_t>(in_idx)); | |||
auto peer_out_desc = peer_out_data_node->GetOpDesc()->MutableOutputDesc(static_cast<uint32_t>(peer_out_idx)); | |||
// check shape and dtype continuity. do not stop process | |||
auto in_desc = node_ptr->GetOpDesc()->MutableInputDesc(static_cast<uint32_t>(in_idx)); | |||
if (in_desc == nullptr) { | |||
continue; | |||
} | |||
auto in_shape = in_desc->GetShape().GetDims(); | |||
auto in_dtype = in_desc->GetDataType(); | |||
auto peer_out_shape = peer_out_desc->GetShape().GetDims(); | |||
@@ -264,11 +264,11 @@ void OnnxUtils::AddAttrProtoForOpInAndOutDesc(onnx::NodeProto *node_proto, const | |||
return; | |||
} | |||
// Input describes | |||
auto size_in = op_desc->GetInputsSize(); | |||
auto size_in = op_desc->GetAllInputsSize(); | |||
AddAttrProto(node_proto, onnx::AttributeProto_AttributeType_INT, "input_desc_nums", &size_in); | |||
if (size_in > 0) { | |||
for (uint32_t i = 0; i < size_in; i++) { | |||
auto input_desc = op_desc->GetInputDescPtr(i); | |||
auto input_desc = op_desc->GetInputDescPtrDfault(i); | |||
if (input_desc != nullptr) { | |||
auto data_type = TypeUtils::DataTypeToSerialString(input_desc->GetDataType()); | |||
AddAttrProto(node_proto, onnx::AttributeProto_AttributeType_STRING, "input_desc_dtype:" + std::to_string(i), | |||
@@ -480,9 +480,20 @@ void OnnxUtils::AddAttrProtoFromNodeMembers(const NodePtr &node, onnx::NodeProto | |||
if (!recv_list.empty()) { | |||
AddAttrProto(node_proto, onnx::AttributeProto_AttributeType_INTS, "recv_event_id_list", &recv_list); | |||
} | |||
// 2.Attributes added from node's op_(message OpDef) | |||
auto op_desc = node->op_; | |||
if (op_desc != nullptr) { | |||
// for input_name_idx_ in opdesc | |||
auto input_name_2_indexs = op_desc->GetAllInputName(); | |||
::google::protobuf::RepeatedPtrField<::std::string> input_names; | |||
::google::protobuf::RepeatedField<::google::protobuf::int64> input_indexes; | |||
for (const auto &input_name_2_index : input_name_2_indexs) { | |||
std::string input_name = input_name_2_index.first; | |||
input_names.Add(std::move(input_name)); | |||
input_indexes.Add(input_name_2_index.second); | |||
} | |||
AddAttrProto(node_proto, onnx::AttributeProto_AttributeType_STRINGS, "_input_name_key", input_names); | |||
AddAttrProto(node_proto, onnx::AttributeProto_AttributeType_INTS, "_input_name_value", input_indexes); | |||
// 2.Attributes added from node's op_(message OpDef) | |||
// Input and out describes | |||
AddAttrProtoForOpInAndOutDesc(node_proto, op_desc); | |||
// Others | |||
@@ -1470,8 +1470,7 @@ graphStatus GraphUtils::CopyTensorAttrs(const OpDescPtr &dst_desc, const NodePtr | |||
for (uint32_t i = 0; i < src_node->GetAllInDataAnchorsSize(); ++i) { | |||
auto input_desc = dst_desc->MutableInputDesc(i); | |||
if (input_desc == nullptr) { | |||
GELOGE(GRAPH_FAILED, "Param dst node not valid"); | |||
return GRAPH_FAILED; | |||
continue; | |||
} | |||
input_desc->CopyAttrsFrom(src_desc->GetInputDesc(i)); | |||
} | |||
@@ -14,8 +14,8 @@ | |||
* limitations under the License. | |||
*/ | |||
#include "utils/node_utils.h" | |||
#include "utils/op_desc_utils.h" | |||
#include "graph/utils/node_utils.h" | |||
#include "graph/utils/op_desc_utils.h" | |||
#include "graph/utils/graph_utils.h" | |||
#include "debug/ge_op_types.h" | |||
#include "debug/ge_util.h" | |||
@@ -23,8 +23,13 @@ | |||
#include "graph/anchor.h" | |||
#include "graph/debug/ge_attr_define.h" | |||
#include "graph/types.h" | |||
#include "utils/tensor_utils.h" | |||
#include "utils/type_utils.h" | |||
#include "external/graph/operator.h" | |||
#include "graph/ge_context.h" | |||
#include "graph/runtime_inference_context.h" | |||
#include "graph/utils/op_desc_utils.h" | |||
#include "graph/utils/tensor_utils.h" | |||
#include "graph/utils/tensor_adapter.h" | |||
#include "graph/utils/type_utils.h" | |||
namespace ge { | |||
std::map<NodePtr, std::vector<uint32_t>> NodeUtils::map_send_info_{}; | |||
@@ -575,6 +580,58 @@ graphStatus NodeUtils::GetNodeUnknownShapeStatus(const Node &node, bool &is_unkn | |||
return GRAPH_SUCCESS; | |||
} | |||
graphStatus NodeUtils::GetInputConstData(const ConstNodePtr &node_ptr, const string &dst_name, GeTensorPtr &ge_tensor) { | |||
GE_CHECK_NOTNULL(node_ptr); | |||
return NodeUtils::GetInputConstData(*node_ptr, dst_name, ge_tensor); | |||
} | |||
graphStatus NodeUtils::GetInputConstData(const Node &node, const string &dst_name, GeTensorPtr &ge_tensor) { | |||
// For inner compute graph | |||
auto op_desc = node.GetOpDesc(); | |||
GE_CHECK_NOTNULL(op_desc); | |||
auto index = op_desc->GetInputIndexByName(dst_name); | |||
auto in_data_anchor = node.GetInDataAnchor(index); | |||
GE_CHECK_NOTNULL(in_data_anchor); | |||
auto out_data_anchor = in_data_anchor->GetPeerOutAnchor(); | |||
GE_CHECK_NOTNULL(out_data_anchor); | |||
auto peer_node = out_data_anchor->GetOwnerNode(); | |||
GE_CHECK_NOTNULL(peer_node); | |||
auto peer_op_desc = peer_node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(peer_op_desc); | |||
auto peer_op_type = peer_op_desc->GetType(); | |||
if (peer_op_type == CONSTANTOP || peer_op_type == CONSTANT) { | |||
if (!AttrUtils::MutableTensor(peer_node->GetOpDesc(), ATTR_NAME_WEIGHTS, ge_tensor)) { | |||
GELOGW("get attr name %s failed.", ATTR_NAME_WEIGHTS.c_str()); | |||
return GRAPH_FAILED; | |||
} | |||
return GRAPH_SUCCESS; | |||
} else if (peer_op_type == DATA) { | |||
auto parent_node = NodeUtils::GetParentInput(peer_node); | |||
while ((parent_node != nullptr) && (parent_node->GetType() == DATA)) { | |||
parent_node = NodeUtils::GetParentInput(parent_node); | |||
} | |||
if ((parent_node != nullptr) && ((parent_node->GetType() == CONSTANT) || (parent_node->GetType() == CONSTANTOP))) { | |||
if (!AttrUtils::MutableTensor(parent_node->GetOpDesc(), ATTR_NAME_WEIGHTS, ge_tensor)) { | |||
GELOGW("get attr name %s failed.", ATTR_NAME_WEIGHTS.c_str()); | |||
return GRAPH_FAILED; | |||
} | |||
return GRAPH_SUCCESS; | |||
} | |||
} | |||
// Try get from runtime inference context | |||
auto session_id = std::to_string(GetContext().SessionId()); | |||
RuntimeInferenceContext *runtime_infer_ctx = nullptr; | |||
if (RuntimeInferenceContext::GetContext(session_id, &runtime_infer_ctx) == GRAPH_SUCCESS) { | |||
GELOGD("To get constant from runtime inference context. session_id = %s", session_id.c_str()); | |||
auto ret = runtime_infer_ctx->GetTensor(peer_node->GetOpDesc()->GetId(), out_data_anchor->GetIdx(), ge_tensor); | |||
if (ret == GRAPH_SUCCESS) { | |||
return GRAPH_SUCCESS; | |||
} | |||
} | |||
GELOGW("node[%s]'s input[%s]'s peer node is not const", node.GetName().c_str(), dst_name.c_str()); | |||
return GRAPH_FAILED; | |||
} | |||
std::string NodeUtils::GetNodeType(const Node &node) { | |||
if (node.GetType() != FRAMEWORKOP) { | |||
return node.GetType(); | |||
@@ -587,14 +644,6 @@ std::string NodeUtils::GetNodeType(const Node &node) { | |||
std::string NodeUtils::GetNodeType(const NodePtr &node) { return node == nullptr ? "" : GetNodeType(*node); } | |||
graphStatus NodeUtils::GetInputConstData(const ConstNodePtr &node_ptr, const string &dst_name, GeTensorPtr &ge_tensor) { | |||
return GRAPH_SUCCESS; | |||
} | |||
graphStatus NodeUtils::GetInputConstData(const Node &node, const string &dst_name, GeTensorPtr &ge_tensor) { | |||
return GRAPH_SUCCESS; | |||
} | |||
ComputeGraphPtr NodeUtils::GetSubgraph(const Node &node, uint32_t index) { | |||
auto op_desc = node.GetOpDesc(); | |||
if (op_desc == nullptr) { | |||
@@ -513,7 +513,6 @@ GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY vector<GeTensorPtr> OpDescUtils:: | |||
} | |||
return MutableWeights(*node); | |||
} | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY graphStatus | |||
OpDescUtils::SetWeights(ge::Node &node, const vector<ge::GeTensorPtr> &weights) { | |||
GE_CHK_BOOL_EXEC(node.GetOpDesc() != nullptr, return GRAPH_PARAM_INVALID, "node.GetOpDesc is nullptr!"); | |||
@@ -561,6 +560,53 @@ OpDescUtils::SetWeights(ge::Node &node, const vector<ge::GeTensorPtr> &weights) | |||
return GRAPH_SUCCESS; | |||
} | |||
GE_FUNC_DEV_VISIBILITY GE_FUNC_HOST_VISIBILITY graphStatus | |||
OpDescUtils::SetWeights(ge::Node &node, const map<int, ge::GeTensorPtr> &weights_map) { | |||
GE_CHECK_NOTNULL(node.GetOpDesc()); | |||
// 1. node is const | |||
if (node.GetOpDesc()->GetType() == CONSTANT) { | |||
if (weights_map.size() == CONST_OP_NORMAL_WEIGHT_SIZE) { | |||
return SetWeights(node.GetOpDesc(), weights_map.begin()->second); | |||
} | |||
GELOGE(GRAPH_PARAM_INVALID, "const op %s weight size %zu should be 1", node.GetName().c_str(), weights_map.size()); | |||
return GRAPH_PARAM_INVALID; | |||
} | |||
// 2. node is not const | |||
for (const auto &pair : weights_map) { | |||
auto in_data_anchor = node.GetInDataAnchor(pair.first); | |||
if (in_data_anchor != nullptr && in_data_anchor->GetPeerOutAnchor() != nullptr) { | |||
// a. update const input node | |||
auto out_anchor = in_data_anchor->GetPeerOutAnchor(); | |||
auto peer_node = out_anchor->GetOwnerNode(); | |||
if (peer_node == nullptr) { | |||
GELOGE(GRAPH_PARAM_INVALID, "op %s [%d]'s input node is null", node.GetName().c_str(), pair.first); | |||
return GRAPH_PARAM_INVALID; | |||
} | |||
if (peer_node->GetType() != CONSTANT) { | |||
GELOGE(GRAPH_PARAM_INVALID, " op %s [%d]'s input node should be const, but is %s type:%s ", | |||
node.GetName().c_str(), pair.first, peer_node->GetName().c_str(), peer_node->GetType().c_str()); | |||
} | |||
SetWeights(peer_node->GetOpDesc(), pair.second); | |||
} else { | |||
// b. create new const input node | |||
auto const_opdesc = CreateConstOp(pair.second); | |||
GE_CHECK_NOTNULL(const_opdesc); | |||
auto owner_graph = node.GetOwnerComputeGraph(); | |||
if (owner_graph == nullptr) { | |||
GELOGE(GRAPH_PARAM_INVALID, "node's graph is empty, name: %s", node.GetName().c_str()); | |||
return GRAPH_PARAM_INVALID; | |||
} | |||
auto const_node = owner_graph->AddNodeFront(const_opdesc); | |||
if (node.AddLinkFrom(static_cast<uint32_t>(pair.first), const_node) != GRAPH_SUCCESS) { | |||
GELOGE(GRAPH_FAILED, "op %s add const to input index[%d] failed", node.GetName().c_str(), pair.first); | |||
return GRAPH_FAILED; | |||
} | |||
} | |||
} | |||
NodeUtils::UpdateIsInputConst(node); | |||
return GRAPH_SUCCESS; | |||
} | |||
OpDescPtr OpDescUtils::CreateConstOp(const GeTensorPtr &tensor_ptr) { | |||
GE_CHK_BOOL_EXEC(tensor_ptr != nullptr, return nullptr, "tensor_ptr is nullptr!"); | |||
shared_ptr<OpDesc> const_opdesc = ComGraphMakeShared<OpDesc>(); | |||
@@ -51,6 +51,7 @@ include_directories(${GE_SOURCE_DIR}/inc/graph) | |||
include_directories(${GE_SOURCE_DIR}/third_party/fwkacllib) | |||
include_directories(${GE_SOURCE_DIR}/third_party/fwkacllib/inc) | |||
include_directories(${GE_SOURCE_DIR}/third_party/fwkacllib/inc/cce) | |||
include_directories(${GE_SOURCE_DIR}/third_party/fwkacllib/inc/toolchain) | |||
include_directories(${CMAKE_BINARY_DIR}) | |||
include_directories(${CMAKE_BINARY_DIR}/proto/ge) | |||
@@ -58,6 +59,7 @@ include_directories(${CMAKE_BINARY_DIR}/proto/ge) | |||
# need to remove dependencies on pb files later | |||
file(GLOB TRAIN_SRC_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
"analyzer/analyzer.cc" | |||
"client/ge_prof.cc" | |||
"client/ge_api.cc" | |||
"common/dump/dump_manager.cc" | |||
"common/dump/dump_properties.cc" | |||
@@ -225,6 +227,9 @@ target_link_libraries(ge_runner | |||
${msprof} | |||
${runtime} | |||
${resouce} | |||
${ascend_hal} | |||
${adump_server} | |||
${msprofiler} | |||
rt | |||
dl) | |||
@@ -235,6 +240,7 @@ file(GLOB INFER_SRC_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
"common/dump/dump_properties.cc" | |||
"common/dump/dump_manager.cc" | |||
"common/dump/dump_op.cc" | |||
"common/dump/dump_server.cc" | |||
"common/formats/format_transfers/*.cc" | |||
"common/formats/formats.cc" | |||
"common/formats/utils/formats_trans_utils.cc" | |||
@@ -335,6 +341,7 @@ file(GLOB INFER_SRC_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
"host_kernels/unpack_kernel.cc" | |||
"host_kernels/unsqueeze_kernel.cc" | |||
"hybrid/hybrid_davinci_model_stub.cc" | |||
"hybrid/node_executor/aicpu/aicpu_ext_info.cc" | |||
"init/gelib.cc" | |||
"ir_build/atc_ir_common.cc" | |||
"ir_build/ge_ir_build.cc" | |||
@@ -352,7 +359,10 @@ add_library(ge_compiler SHARED ${INFER_SRC_LIST} ${PROTO_SRCS} ${PROTO_HEADER_HD | |||
target_compile_definitions(ge_compiler PRIVATE | |||
PROTOBUF_INLINE_NOT_IN_HEADERS=0 | |||
REUSE_MEMORY=1 | |||
FMK_HOST_INFER) | |||
FMK_HOST_INFER | |||
FMK_SUPPORT_DUMP | |||
COMPILE_OMG_PACKAGE | |||
REUSE_MEMORY=1) | |||
target_link_libraries(ge_compiler | |||
graph | |||
ge_common | |||
@@ -101,7 +101,7 @@ Status Analyzer::BuildJsonObject(uint64_t session_id, uint64_t graph_id) { | |||
ge::Status Analyzer::Initialize() { | |||
ClearHistoryFile(); | |||
return CreateAnalyzerFile(); | |||
return SUCCESS; | |||
} | |||
void Analyzer::Finalize() { | |||
@@ -136,7 +136,7 @@ void Analyzer::DestroyGraphJsonObject(uint64_t session_id, uint64_t graph_id) { | |||
} else { | |||
auto iter1 = (iter->second).find(graph_id); | |||
if (iter1 == (iter->second).end()) { | |||
GELOGW("can not find the graph json object by session_id[%lu] and graph_id[%lu].Do nothing", session_id, | |||
GELOGW("Can not find the graph json object by session_id[%lu] and graph_id[%lu]. Do nothing.", session_id, | |||
graph_id); | |||
} | |||
(iter->second).erase(iter1); | |||
@@ -169,6 +169,10 @@ void Analyzer::ClearHistoryFile() { | |||
} | |||
ge::Status Analyzer::CreateAnalyzerFile() { | |||
if (is_json_file_create_) { | |||
GELOGD("analyzer file has been created!No necessary to create again!"); | |||
return SUCCESS; | |||
} | |||
GELOGD("start to create analyzer file!"); | |||
// Check whether the manifest exists, if not, create it. | |||
string real_path = RealPath(kFilePath.c_str()); | |||
@@ -176,18 +180,19 @@ ge::Status Analyzer::CreateAnalyzerFile() { | |||
GELOGE(FAILED, "File path is invalid."); | |||
return FAILED; | |||
} | |||
string file = real_path + "/" + kAnalyzeFile; | |||
GELOGD("Created analyzer file:[%s]", file.c_str()); | |||
int fd = open(file.c_str(), O_WRONLY | O_CREAT | O_TRUNC, kFileAuthority); | |||
std::lock_guard<std::mutex> lg(file_mutex_); | |||
json_file_name_ = real_path + "/" + kAnalyzeFile; | |||
GELOGD("Created analyzer file:[%s]", json_file_name_.c_str()); | |||
int fd = open(json_file_name_.c_str(), O_WRONLY | O_CREAT | O_TRUNC, kFileAuthority); | |||
if (fd < 0) { | |||
GELOGE(INTERNAL_ERROR, "Fail to open the file: %s.", file.c_str()); | |||
GELOGE(INTERNAL_ERROR, "Fail to open the file: %s.", json_file_name_.c_str()); | |||
return INTERNAL_ERROR; | |||
} | |||
if (close(fd) != 0) { | |||
GELOGE(INTERNAL_ERROR, "Fail to close the file: %s.", file.c_str()); | |||
GELOGE(INTERNAL_ERROR, "Fail to close the file: %s.", json_file_name_.c_str()); | |||
return INTERNAL_ERROR; | |||
} | |||
json_file_name_ = file; | |||
is_json_file_create_ = true; | |||
GELOGD("success to create analyzer file[%s]!", json_file_name_.c_str()); | |||
return SUCCESS; | |||
@@ -231,6 +236,12 @@ ge::Status Analyzer::DoAnalyze(DataInfo &data_info) { | |||
GELOGE(status, "save op info failed!"); | |||
return FAILED; | |||
} | |||
// create json file | |||
status = CreateAnalyzerFile(); | |||
if (status != SUCCESS) { | |||
GELOGE(status, "create analyzer file failed!"); | |||
return status; | |||
} | |||
// save data to file | |||
return SaveAnalyzerDataToFile(); | |||
} | |||
@@ -24,6 +24,7 @@ | |||
#include <mutex> | |||
#include <memory> | |||
#include <fstream> | |||
#include <atomic> | |||
#include "external/ge/ge_api_types.h" | |||
#include "graph/compute_graph.h" | |||
@@ -181,6 +182,7 @@ class Analyzer { | |||
std::mutex file_mutex_; // protect json_file_ | |||
std::ofstream json_file_; | |||
std::string json_file_name_; | |||
std::atomic_bool is_json_file_create_{false}; | |||
}; | |||
} // namespace ge | |||
#endif // DOMI_ANALYZER_ANANLYZER_H_ |
@@ -29,6 +29,7 @@ file(GLOB PROTO_HEADER_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
file(GLOB SRC_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
"ge_api.cc" | |||
"ge_prof.cc" | |||
) | |||
ge_protobuf_generate(ge PROTO_SRCS PROTO_HDRS ${PROTO_LIST}) | |||
@@ -66,5 +67,8 @@ target_link_libraries(ge_client | |||
${slog} | |||
${mmpa} | |||
${runtime} | |||
${msprof} | |||
${msprofiler} | |||
${ascend_hal} | |||
rt | |||
dl) |
@@ -16,6 +16,7 @@ | |||
#include "ge/ge_api.h" | |||
#include <iostream> | |||
#include <malloc.h> | |||
#include "common/debug/log.h" | |||
#include "framework/common/debug/ge_log.h" | |||
#include "common/ge/datatype_util.h" | |||
@@ -39,7 +40,7 @@ using std::vector; | |||
namespace { | |||
const int32_t kMaxStrLen = 128; | |||
} | |||
} // namespace | |||
static bool g_ge_initialized = false; | |||
static std::mutex g_ge_release_mutex; // GEFinalize and ~Session use | |||
@@ -163,6 +164,9 @@ Status GEFinalize() { | |||
g_ge_initialized = false; | |||
} | |||
// to avoid memory fragment, use malloc_trim to back free stack to system | |||
malloc_trim(0); | |||
GELOGT(TRACE_STOP, "GEFinalize finished"); | |||
return ret; | |||
} | |||
@@ -0,0 +1,356 @@ | |||
/** | |||
* Copyright 2019-2020 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. | |||
*/ | |||
#include "ge/ge_prof.h" | |||
#include "ge/ge_api.h" | |||
#include "init/gelib.h" | |||
#include "common/debug/log.h" | |||
#include "framework/common/debug/ge_log.h" | |||
#include "common/profiling/profiling_manager.h" | |||
#include "graph/load/graph_loader.h" | |||
#include "toolchain/prof_acl_api.h" | |||
using std::map; | |||
using std::string; | |||
using std::vector; | |||
namespace { | |||
const uint32_t kMaxDeviceNum = 64; | |||
const uint32_t kDeviceListIndex = 3; | |||
const std::string kProfilingInit = "prof_init"; | |||
const std::string kProfilingFinalize = "prof_finalize"; | |||
const std::string kProfilingStart = "prof_start"; | |||
const std::string kProfilingStop = "prof_stop"; | |||
const std::string kDeviceNums = "devNums"; | |||
const std::string kDeviceIdList = "devIdList"; | |||
const std::string kAicoreMetrics = "aicoreMetrics"; | |||
const std::map<ge::ProfilingAicoreMetrics, std::string> kProfAicoreMetricsToString = { | |||
{ge::kAicoreArithmaticThroughput, "AICORE_ARITHMATIC_THROUGHPUT"}, | |||
{ge::kAicorePipeline, "AICORE_PIPELINE"}, | |||
{ge::kAicoreSynchronization, "AICORE_SYNCHRONIZATION"}, | |||
{ge::kAicoreMemory, "AICORE_MEMORY"}, | |||
{ge::kAicoreInternalMemory, "AICORE_INTERNAL_MEMORY"}, | |||
{ge::kAicoreStall, "AICORE_STALL"}}; | |||
} // namespace | |||
static bool g_graph_prof_init_ = false; | |||
static std::mutex g_prof_mutex_; | |||
namespace ge { | |||
struct aclgrphProfConfig { | |||
ProfConfig config; | |||
}; | |||
Status aclgrphProfInit(const char *profiler_path, uint32_t length) { | |||
GELOGT(TRACE_INIT, "Graph prof init start"); | |||
std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance(); | |||
if (instance_ptr == nullptr || !instance_ptr->InitFlag()) { | |||
GELOGE(GE_CLI_GE_NOT_INITIALIZED, "Ge client is not initialized."); | |||
return FAILED; | |||
} | |||
std::lock_guard<std::mutex> lock(g_prof_mutex_); | |||
if (g_graph_prof_init_) { | |||
GELOGW("Multi graph profiling initializations."); | |||
return GE_PROF_MULTI_INIT; | |||
} | |||
Status ret = CheckPath(profiler_path, length); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Profiling config path is invalid."); | |||
return ret; | |||
} | |||
// if command mode is set, just return | |||
if (ProfilingManager::Instance().ProfilingOn()) { | |||
GELOGW("Graph prof init failed, cause profiling command pattern is running."); | |||
return GE_PROF_MODE_CONFLICT; | |||
} | |||
ret = ProfInit(profiler_path); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "ProfInit init fail"); | |||
return ret; | |||
} | |||
GraphLoader graph_loader; | |||
Command command; | |||
command.cmd_params.clear(); | |||
command.cmd_type = kProfilingInit; | |||
command.module_index = PROF_MODEL_LOAD; | |||
ret = graph_loader.CommandHandle(command); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Handle profiling command %s failed, config = %s", kProfilingInit.c_str(), profiler_path); | |||
return ret; | |||
} | |||
if (!g_graph_prof_init_) { | |||
g_graph_prof_init_ = true; | |||
GELOGI("Profiling init successfully."); | |||
} | |||
GELOGI("Successfully execute GraphProfInit."); | |||
return SUCCESS; | |||
} | |||
Status aclgrphProfFinalize() { | |||
std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance(); | |||
if (instance_ptr == nullptr || !instance_ptr->InitFlag()) { | |||
GELOGE(GE_CLI_GE_NOT_INITIALIZED, "Ge client is not initialized."); | |||
return FAILED; | |||
} | |||
std::lock_guard<std::mutex> lock(g_prof_mutex_); | |||
// if command mode is set, just return | |||
if (ProfilingManager::Instance().ProfilingOn()) { | |||
GELOGW("Graph prof finalize failed, cause profiling command pattern is running."); | |||
return GE_PROF_MODE_CONFLICT; | |||
} | |||
if (!g_graph_prof_init_) { | |||
GELOGE(GE_PROF_NOT_INIT, "Graph not profiling initialize."); | |||
return GE_PROF_NOT_INIT; | |||
} | |||
GraphLoader graph_loader; | |||
Command command; | |||
command.cmd_params.clear(); | |||
command.cmd_type = kProfilingFinalize; | |||
Status ret = graph_loader.CommandHandle(command); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Handle profiling command %s failed.", kProfilingFinalize.c_str()); | |||
return ret; | |||
} | |||
ret = ProfFinalize(); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Finalize profiling failed, result = %d", ret); | |||
} | |||
if (ret == SUCCESS) { | |||
g_graph_prof_init_ = false; | |||
GELOGI("Successfully execute GraphProfFinalize."); | |||
} | |||
return ret; | |||
} | |||
bool TransProfConfigToParam(const aclgrphProfConfig *profiler_config, vector<string> &prof_config_params) { | |||
prof_config_params.clear(); | |||
prof_config_params.emplace_back(kDeviceNums); | |||
prof_config_params.emplace_back(std::to_string(profiler_config->config.devNums)); | |||
prof_config_params.emplace_back(kDeviceIdList); | |||
std::string devID = ""; | |||
if (profiler_config->config.devNums == 0) { | |||
GELOGW("The device num is invalid."); | |||
return false; | |||
} | |||
for (uint32_t i = 0; i < profiler_config->config.devNums; i++) { | |||
devID.append(std::to_string(profiler_config->config.devIdList[i])); | |||
if (i != profiler_config->config.devNums - 1) { | |||
devID.append(","); | |||
} | |||
} | |||
prof_config_params.push_back(devID); | |||
prof_config_params.push_back(kAicoreMetrics); | |||
auto iter = | |||
kProfAicoreMetricsToString.find(static_cast<ProfilingAicoreMetrics>(profiler_config->config.aicoreMetrics)); | |||
if (iter == kProfAicoreMetricsToString.end()) { | |||
GELOGW("The prof aicore metrics is invalid."); | |||
return false; | |||
} | |||
prof_config_params.push_back(iter->second); | |||
return true; | |||
} | |||
bool isProfConfigValid(const uint32_t *deviceid_list, uint32_t device_nums) { | |||
if (deviceid_list == nullptr) { | |||
GELOGE(PARAM_INVALID, "deviceIdList is nullptr"); | |||
return false; | |||
} | |||
if (device_nums == 0 || device_nums > kMaxDeviceNum) { | |||
GELOGE(PARAM_INVALID, "The device nums is invalid."); | |||
return false; | |||
} | |||
// real device num | |||
int32_t dev_count = 0; | |||
rtError_t rt_err = rtGetDeviceCount(&dev_count); | |||
if (rt_err != RT_ERROR_NONE) { | |||
GELOGE(INTERNAL_ERROR, "Get the Device count fail."); | |||
return false; | |||
} | |||
if (device_nums > static_cast<uint32_t>(dev_count)) { | |||
GELOGE(PARAM_INVALID, "Device num(%u) is not in range 1 ~ %d.", device_nums, dev_count); | |||
return false; | |||
} | |||
std::unordered_set<uint32_t> record; | |||
for (size_t i = 0; i < device_nums; ++i) { | |||
uint32_t dev_id = deviceid_list[i]; | |||
if (dev_id >= static_cast<uint32_t>(dev_count)) { | |||
GELOGE(PARAM_INVALID, "Device id %u is not in range 0 ~ %d(exclude %d)", dev_id, dev_count, dev_count); | |||
return false; | |||
} | |||
if (record.count(dev_id) > 0) { | |||
GELOGE(PARAM_INVALID, "Device id %u is duplicatedly set", dev_id); | |||
return false; | |||
} | |||
record.insert(dev_id); | |||
} | |||
return true; | |||
} | |||
aclgrphProfConfig *aclgrphProfCreateConfig(uint32_t *deviceid_list, uint32_t device_nums, | |||
ProfilingAicoreMetrics aicore_metrics, ProfAicoreEvents *aicore_events, | |||
uint64_t data_type_config) { | |||
if (!isProfConfigValid(deviceid_list, device_nums)) { | |||
return nullptr; | |||
} | |||
aclgrphProfConfig *config = new (std::nothrow) aclgrphProfConfig(); | |||
if (config == nullptr) { | |||
GELOGE(INTERNAL_ERROR, "new aclgrphProfConfig fail"); | |||
return nullptr; | |||
} | |||
config->config.devNums = device_nums; | |||
if (memcpy_s(config->config.devIdList, sizeof(config->config.devIdList), deviceid_list, | |||
device_nums * sizeof(uint32_t)) != EOK) { | |||
GELOGE(INTERNAL_ERROR, "copy devID failed. size = %u", device_nums); | |||
delete config; | |||
return nullptr; | |||
} | |||
config->config.aicoreMetrics = static_cast<ProfAicoreMetrics>(aicore_metrics); | |||
config->config.dataTypeConfig = data_type_config; | |||
GELOGI("Successfully create prof config."); | |||
return config; | |||
} | |||
Status aclgrphProfDestroyConfig(aclgrphProfConfig *profiler_config) { | |||
if (profiler_config == nullptr) { | |||
GELOGE(PARAM_INVALID, "destroy profilerConfig failed, profilerConfig must not be nullptr"); | |||
return PARAM_INVALID; | |||
} | |||
delete profiler_config; | |||
GELOGI("Successfully destroy prof config."); | |||
return SUCCESS; | |||
} | |||
Status aclgrphProfStart(aclgrphProfConfig *profiler_config) { | |||
if (profiler_config == nullptr) { | |||
GELOGE(PARAM_INVALID, "aclgrphProfConfig is invalid."); | |||
return FAILED; | |||
} | |||
std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance(); | |||
if (instance_ptr == nullptr || !instance_ptr->InitFlag()) { | |||
GELOGE(GE_CLI_GE_NOT_INITIALIZED, "Ge client is not initialized."); | |||
return FAILED; | |||
} | |||
std::lock_guard<std::mutex> lock(g_prof_mutex_); | |||
// if command mode is set, just return | |||
if (ProfilingManager::Instance().ProfilingOn()) { | |||
GELOGW("Graph prof finalize failed, cause profiling command pattern is running."); | |||
return GE_PROF_MODE_CONFLICT; | |||
} | |||
if (!g_graph_prof_init_) { | |||
GELOGE(GE_PROF_NOT_INIT, "Graph not profiling initialize."); | |||
return GE_PROF_NOT_INIT; | |||
} | |||
Status ret = ProfStartProfiling(&profiler_config->config); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Start profiling failed, prof result = %d", ret); | |||
return FAILED; | |||
} | |||
std::vector<string> prof_params; | |||
if (!TransProfConfigToParam(profiler_config, prof_params)) { | |||
GELOGE(PARAM_INVALID, "Transfer profilerConfig to string vector failed"); | |||
return PARAM_INVALID; | |||
} | |||
GraphLoader graph_loader; | |||
Command command; | |||
command.cmd_params.clear(); | |||
command.cmd_type = kProfilingStart; | |||
command.cmd_params = prof_params; | |||
command.module_index = profiler_config->config.dataTypeConfig; | |||
GELOGI("Profiling will start, device nums:%s , deviceID:[%s], data type config: 0x%llx", prof_params[0].c_str(), | |||
prof_params[kDeviceListIndex].c_str(), command.module_index); | |||
ret = graph_loader.CommandHandle(command); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Handle profiling command failed"); | |||
return FAILED; | |||
} | |||
GELOGI("Successfully execute GraphProfStartProfiling."); | |||
return SUCCESS; | |||
} | |||
Status aclgrphProfStop(aclgrphProfConfig *profiler_config) { | |||
if (profiler_config == nullptr) { | |||
GELOGE(PARAM_INVALID, "aclgrphProfConfig is invalid."); | |||
return FAILED; | |||
} | |||
std::shared_ptr<GELib> instance_ptr = ge::GELib::GetInstance(); | |||
if (instance_ptr == nullptr || !instance_ptr->InitFlag()) { | |||
GELOGE(GE_CLI_GE_NOT_INITIALIZED, "Ge client is not initialized."); | |||
return FAILED; | |||
} | |||
std::lock_guard<std::mutex> lock(g_prof_mutex_); | |||
// if command mode is set, just return | |||
if (ProfilingManager::Instance().ProfilingOn()) { | |||
GELOGW("Graph prof finalize failed, cause profiling command pattern is running."); | |||
return GE_PROF_MODE_CONFLICT; | |||
} | |||
if (!g_graph_prof_init_) { | |||
GELOGE(GE_PROF_NOT_INIT, "Graph not profiling initialize."); | |||
return GE_PROF_NOT_INIT; | |||
} | |||
Status ret = ProfStopProfiling(&profiler_config->config); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Stop profiling failed, prof result = %d", ret); | |||
return ret; | |||
} | |||
std::vector<string> prof_params; | |||
if (!TransProfConfigToParam(profiler_config, prof_params)) { | |||
GELOGE(PARAM_INVALID, "Transfer profilerConfig to string vector failed"); | |||
return PARAM_INVALID; | |||
} | |||
GraphLoader graph_loader; | |||
Command command; | |||
command.cmd_params.clear(); | |||
command.cmd_type = kProfilingStop; | |||
command.cmd_params = prof_params; | |||
command.module_index = profiler_config->config.dataTypeConfig; | |||
GELOGI("Profiling will stop, device nums:%s , deviceID:[%s], data type config: 0x%llx", prof_params[0].c_str(), | |||
prof_params[kDeviceListIndex].c_str(), command.module_index); | |||
ret = graph_loader.CommandHandle(command); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Handle profiling command failed"); | |||
return FAILED; | |||
} | |||
GELOGI("Successfully execute GraphProfStopProfiling."); | |||
return SUCCESS; | |||
} | |||
} // namespace ge |
@@ -4,6 +4,7 @@ LOCAL_PATH := $(call my-dir) | |||
COMMON_LOCAL_SRC_FILES := \ | |||
proto/ge_api.proto \ | |||
ge_api.cc \ | |||
ge_prof.cc \ | |||
COMMON_LOCAL_C_INCLUDES := \ | |||
@@ -69,7 +70,10 @@ LOCAL_SHARED_LIBRARIES := \ | |||
libregister \ | |||
libge_compiler \ | |||
libge_common \ | |||
libmsprof \ | |||
stub/libascend_hal | |||
LOCAL_STATIC_LIBRARIES := libmsprofiler | |||
LOCAL_LDFLAGS := -lrt -ldl | |||
@@ -102,7 +106,9 @@ LOCAL_SHARED_LIBRARIES := \ | |||
libruntime \ | |||
libge_compiler \ | |||
libge_common \ | |||
libmsprof | |||
LOCAL_STATIC_LIBRARIES := libmsprofiler | |||
LOCAL_LDFLAGS := -lrt -ldl | |||
LOCAL_CFLAGS += \ | |||
@@ -27,6 +27,7 @@ file(GLOB SRC_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
"context/ctx.cc" | |||
"cust_aicpu_kernel_store.cc" | |||
"debug/memory_dumper.cc" | |||
"dump/dump_properties.cc" | |||
"fmk_error_codes.cc" | |||
"formats/format_transfers/datatype_transfer.cc" | |||
"formats/format_transfers/format_transfer_c1hwncoc0_hwcn.cc" | |||
@@ -49,7 +49,10 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status DumpManager::SetDumpConf | |||
dump_properties_.ClearDumpPropertyValue(); | |||
return SUCCESS; | |||
} | |||
dump_properties_.SetDumpStatus(dump_status); | |||
dump_op_switch = dump_config.dump_op_switch; | |||
dump_properties_.SetDumpOpSwitch(dump_op_switch); | |||
if (dump_op_switch == kDumpoff && dump_config.dump_list.empty()) { | |||
GELOGE(PARAM_INVALID, "Dump list is invalid,dump_op_switch is %s", dump_op_switch.c_str()); | |||
return PARAM_INVALID; | |||
@@ -95,14 +98,6 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status DumpManager::SetDumpConf | |||
return SUCCESS; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool DumpManager::IsDumpOpen() { | |||
std::lock_guard<std::mutex> lock(mutex_); | |||
if (!dump_properties_.GetDumpPath().empty()) { | |||
return true; | |||
} | |||
return false; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY const DumpProperties &DumpManager::GetDumpProperties() { | |||
std::lock_guard<std::mutex> lock(mutex_); | |||
return dump_properties_; | |||
@@ -28,7 +28,6 @@ class DumpManager { | |||
static DumpManager &GetInstance(); | |||
Status SetDumpConf(const DumpConfig &dump_config); | |||
bool IsDumpOpen(); | |||
const DumpProperties &GetDumpProperties(); | |||
void SetModelName(const std::string &model_name); | |||
const std::string &GetModelName(); | |||
@@ -16,7 +16,6 @@ | |||
#include "common/dump/dump_op.h" | |||
#include "aicpu/common/aicpu_task_struct.h" | |||
#include "common/dump/dump_manager.h" | |||
#include "common/ge/datatype_util.h" | |||
#include "framework/common/debug/ge_log.h" | |||
@@ -28,6 +27,7 @@ | |||
#include "proto/ge_ir.pb.h" | |||
#include "proto/op_mapping_info.pb.h" | |||
#include "runtime/mem.h" | |||
#include "aicpu/common/aicpu_task_struct.h" | |||
namespace { | |||
const uint32_t kAicpuLoadFlag = 1; | |||
@@ -172,18 +172,18 @@ Status DumpOp::ExecutorDumpOp(aicpu::dump::OpMappingInfo &op_mapping_info) { | |||
return RT_FAILED; | |||
} | |||
constexpr int32_t ioAddrNum = 2; | |||
constexpr uint32_t argsSize = sizeof(aicpu::AicpuParamHead) + ioAddrNum * sizeof(uint64_t); | |||
char args[argsSize] = {0}; | |||
auto paramHead = reinterpret_cast<aicpu::AicpuParamHead *>(args); | |||
paramHead->length = argsSize; | |||
paramHead->ioAddrNum = ioAddrNum; | |||
auto ioAddr = reinterpret_cast<uint64_t *>(args + sizeof(aicpu::AicpuParamHead)); | |||
ioAddr[0] = reinterpret_cast<uintptr_t>(proto_dev_mem_); | |||
ioAddr[1] = reinterpret_cast<uintptr_t>(proto_size_dev_mem_); | |||
constexpr int32_t io_addr_num = 2; | |||
constexpr uint32_t args_size = sizeof(aicpu::AicpuParamHead) + io_addr_num * sizeof(uint64_t); | |||
char args[args_size] = {0}; | |||
auto param_head = reinterpret_cast<aicpu::AicpuParamHead *>(args); | |||
param_head->length = args_size; | |||
param_head->ioAddrNum = io_addr_num; | |||
auto io_addr = reinterpret_cast<uint64_t *>(args + sizeof(aicpu::AicpuParamHead)); | |||
io_addr[0] = reinterpret_cast<uintptr_t>(proto_dev_mem_); | |||
io_addr[1] = reinterpret_cast<uintptr_t>(proto_size_dev_mem_); | |||
rt_ret = rtCpuKernelLaunch(nullptr, kDumpKernelsDumpOp, | |||
1, // blockDim default 1 | |||
args, argsSize, | |||
args, args_size, | |||
nullptr, // no need smDesc | |||
stream_); | |||
if (rt_ret != RT_ERROR_NONE) { | |||
@@ -31,7 +31,7 @@ | |||
namespace { | |||
const std::string kEnableFlag = "1"; | |||
const std::string kDumpStatusOpen = "on"; | |||
const uint32_t kAicoreOverflow = (0x1 << 0); | |||
const uint32_t kAtomicOverflow = (0x1 << 1); | |||
const uint32_t kAllOverflow = (kAicoreOverflow | kAtomicOverflow); | |||
@@ -81,12 +81,12 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void DumpProperties::InitByOpti | |||
if (enable_dump_ == kEnableFlag) { | |||
std::string dump_step; | |||
if (GetContext().GetOption(OPTION_EXEC_DUMP_STEP, dump_step) == GRAPH_SUCCESS) { | |||
GELOGD("Get dump step %s successfully", dump_step.c_str()); | |||
GELOGI("Get dump step %s successfully", dump_step.c_str()); | |||
SetDumpStep(dump_step); | |||
} | |||
string dump_mode; | |||
if (GetContext().GetOption(OPTION_EXEC_DUMP_MODE, dump_mode) == GRAPH_SUCCESS) { | |||
GELOGD("Get dump mode %s successfully", dump_mode.c_str()); | |||
GELOGI("Get dump mode %s successfully", dump_mode.c_str()); | |||
SetDumpMode(dump_mode); | |||
} | |||
AddPropertyValue(DUMP_ALL_MODEL, {}); | |||
@@ -192,6 +192,37 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY const std::string &DumpProperti | |||
return dump_mode_; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void DumpProperties::SetDumpStatus(const std::string &status) { | |||
dump_status_ = status; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY const std::string &DumpProperties::GetDumpStatus() const { | |||
return dump_status_; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void DumpProperties::SetDumpOpSwitch( | |||
const std::string &dump_op_switch) { | |||
dump_op_switch_ = dump_op_switch; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY const std::string &DumpProperties::GetDumpOpSwitch() const { | |||
return dump_op_switch_; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool DumpProperties::IsSingleOpNeedDump() const { | |||
if (dump_op_switch_ == kDumpStatusOpen) { | |||
return true; | |||
} | |||
return false; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool DumpProperties::IsDumpOpen() const { | |||
if (enable_dump_ == kEnableFlag || dump_status_ == kDumpStatusOpen) { | |||
return true; | |||
} | |||
return false; | |||
} | |||
void DumpProperties::CopyFrom(const DumpProperties &other) { | |||
if (&other != this) { | |||
enable_dump_ = other.enable_dump_; | |||
@@ -61,10 +61,26 @@ class DumpProperties { | |||
const std::string &GetDumpMode() const; | |||
void SetDumpStatus(const std::string &status); | |||
const std::string &GetDumpStatus() const; | |||
void SetDumpOpSwitch(const std::string &dump_op_switch); | |||
const std::string &GetDumpOpSwitch() const; | |||
bool IsOpDebugOpen() const { return is_op_debug_; } | |||
bool IsDumpOpen() const; | |||
bool IsSingleOpNeedDump() const; | |||
uint32_t GetOpDebugMode() const { return op_debug_mode_; } | |||
const std::string &GetEnableDump() const { return enable_dump_; } | |||
const std::string &GetEnableDumpDebug() const { return enable_dump_debug_; } | |||
private: | |||
void CopyFrom(const DumpProperties &other); | |||
@@ -76,6 +92,8 @@ class DumpProperties { | |||
std::string dump_path_; | |||
std::string dump_step_; | |||
std::string dump_mode_; | |||
std::string dump_status_; | |||
std::string dump_op_switch_; | |||
std::map<std::string, std::set<std::string>> model_dump_properties_map_; | |||
bool is_op_debug_ = false; | |||
@@ -0,0 +1,21 @@ | |||
/** | |||
* Copyright 2019-2020 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. | |||
*/ | |||
#include "adx_datadump_server.h" | |||
int AdxDataDumpServerUnInit() { return 0; } | |||
int AdxDataDumpServerInit() { return 0; } |
@@ -34,7 +34,7 @@ std::map<ge::DataType, std::vector<ge::DataType>> g_reverse_translatable_data_ty | |||
{ge::DT_INT32, {ge::DT_BOOL, ge::DT_INT64}}, | |||
{ge::DT_FLOAT, {ge::DT_FLOAT16, ge::DT_FLOAT}}}; | |||
static const std::map<ge::DataType, ge::proto::DataType> g_dump_data_type_map = { | |||
std::map<ge::DataType, ge::proto::DataType> g_dump_data_type_map = { | |||
// key:ge datatype,value:proto datatype | |||
{ge::DT_UNDEFINED, ge::proto::DT_UNDEFINED}, | |||
{ge::DT_FLOAT, ge::proto::DT_FLOAT}, | |||
@@ -15,14 +15,15 @@ | |||
*/ | |||
#include "common/ge/op_tiling_manager.h" | |||
#include "common/util/error_manager/error_manager.h" | |||
#include "framework/common/debug/log.h" | |||
#include <string> | |||
namespace { | |||
const char *const kEnvName = "ASCEND_OPP_PATH"; | |||
const std::string kDefaultPath = "/usr/local/Ascend/opp"; | |||
const std::string kDefaultBuiltInTilingPath = "/op_impl/built-in/liboptiling.so"; | |||
const std::string kDefaultCustomTilingPath = "/op_impl/custom/liboptiling.so"; | |||
const std::string kDefaultBuiltInTilingPath = "/op_impl/built-in/ai_core/tbe/op_tiling/liboptiling.so"; | |||
const std::string kDefaultCustomTilingPath = "/op_impl/custom/ai_core/tbe/op_tiling/liboptiling.so"; | |||
const uint8_t kPrefixIndex = 9; | |||
} // namespace | |||
@@ -44,7 +45,9 @@ std::string OpTilingManager::GetPath() { | |||
if (opp_path_env != nullptr) { | |||
char resolved_path[PATH_MAX]; | |||
if (realpath(opp_path_env, resolved_path) == NULL) { | |||
GELOGE(PARAM_INVALID, "Failed load tiling lib as env 'ASCEND_OPP_PATH'(%s) is invalid path.", opp_path_env); | |||
ErrorManager::GetInstance().ATCReportErrMessage("E19024", {"env", "value", "situation"}, | |||
{"ASCEND_OPP_PATH", opp_path_env, "loading the tiling lib"}); | |||
GELOGE(PARAM_INVALID, "Failed load tiling lib as env 'ASCEND_OPP_PATH'[%s] is invalid path.", opp_path_env); | |||
return std::string(); | |||
} | |||
opp_path = resolved_path; | |||
@@ -12,6 +12,7 @@ GE_COMMON_LOCAL_SRC_FILES := \ | |||
math/fp16_math.cc \ | |||
debug/memory_dumper.cc \ | |||
formats/utils/formats_trans_utils.cc \ | |||
dump/dump_properties.cc \ | |||
formats/format_transfers/datatype_transfer.cc \ | |||
formats/format_transfers/format_transfer_transpose.cc \ | |||
formats/format_transfers/format_transfer_nchw_nc1hwc0.cc \ | |||
@@ -497,7 +497,25 @@ Status ModelCacheHelper::LoadJsonFromFile(const string &file_name, Json &json) c | |||
GELOGW("Fail to open the file: %s.", path.c_str()); | |||
return INTERNAL_ERROR; | |||
} | |||
ifs >> json; | |||
try { | |||
ifs >> json; | |||
} catch (nlohmann::detail::parse_error e) { | |||
GELOGW("Fail to load json from file, json throw an error:%s.", e.what()); | |||
return INTERNAL_ERROR; | |||
} catch (nlohmann::detail::invalid_iterator e) { | |||
GELOGW("Fail to load json from file, json throw an error:%s.", e.what()); | |||
return INTERNAL_ERROR; | |||
} catch (nlohmann::detail::type_error e) { | |||
GELOGW("Fail to load json from file, json throw an error:%s.", e.what()); | |||
return INTERNAL_ERROR; | |||
} catch (nlohmann::detail::out_of_range e) { | |||
GELOGW("Fail to load json from file, json throw an error:%s.", e.what()); | |||
return INTERNAL_ERROR; | |||
} catch (nlohmann::detail::other_error e) { | |||
GELOGW("Fail to load json from file, json throw an error:%s.", e.what()); | |||
return INTERNAL_ERROR; | |||
} | |||
if (!json.is_object()) { | |||
GELOGW("Fail to load the json file: %s.", path.c_str()); | |||
return INTERNAL_ERROR; | |||
@@ -41,7 +41,22 @@ Status ModelHelper::SaveModelPartition(std::shared_ptr<OmFileSaveHelper> &om_fil | |||
const uint8_t *data, size_t size) { | |||
if (size < 1 || size > UINT32_MAX) { | |||
GELOGE(PARAM_INVALID, "Add model partition failed, partition size %zu invalid", size); | |||
ErrorManager::GetInstance().ATCReportErrMessage("E19022"); | |||
if (size > UINT32_MAX) { | |||
string item = "item"; | |||
if (type == MODEL_DEF) { | |||
item = "model info"; | |||
} else if (type == WEIGHTS_DATA) { | |||
item = "weight data"; | |||
} else if (type == TASK_INFO) { | |||
item = "task info"; | |||
} else if (type == TBE_KERNELS) { | |||
item = "tbe kernels"; | |||
} else if (type == CUST_AICPU_KERNELS) { | |||
item = "aicpu kernels"; | |||
} | |||
ErrorManager::GetInstance().ATCReportErrMessage("E19023", {"size", "item", "maxsize"}, | |||
{std::to_string(size), item, std::to_string(UINT32_MAX)}); | |||
} | |||
return PARAM_INVALID; | |||
} | |||
if (data == nullptr) { | |||
@@ -263,7 +278,7 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status ModelHelper::LoadModel(c | |||
} | |||
Status status = ge::DavinciModelParser::ParseModelContent(model_data, model_addr_tmp_, model_len_tmp_); | |||
if (ge::DavinciModelParser::ParseModelContent(model_data, model_addr_tmp_, model_len_tmp_) != SUCCESS) { | |||
if (status != SUCCESS) { | |||
GELOGE(status, "Parse model content failed!"); | |||
return status; | |||
} | |||
@@ -54,15 +54,19 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ProfilingManager &ProfilingMana | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ge::Status ProfilingManager::Init(const Options &options) { | |||
#ifdef DAVINCI_SUPPORT_PROFILING | |||
vector<int32_t>().swap(device_id_); | |||
device_id_.push_back(options.device_id); | |||
job_id_ = options.job_id; | |||
GELOGI("ProfilingManager::Init job_id:%s", job_id_.c_str()); | |||
Status ret; | |||
if (!recv_profiling_config_.empty()) { | |||
GELOGI("Profiling json config from acl:%s", recv_profiling_config_.c_str()); | |||
ret = InitFromAclCfg(recv_profiling_config_); | |||
} else { | |||
ret = InitFromOptions(options); | |||
if (ret == SUCCESS && is_load_profiling_) { | |||
device_id_.push_back(options.device_id); | |||
} | |||
} | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Failed to init profiling."); | |||
@@ -543,25 +547,17 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void ProfilingManager::ReportPr | |||
return; | |||
} | |||
GELOGI("current logic_device_id:%d", logic_device_id); | |||
uint32_t phy_device_id = 0; | |||
rt_ret = rtGetDevicePhyIdByIndex((uint32_t)logic_device_id, &phy_device_id); | |||
if (rt_ret != RT_ERROR_NONE) { | |||
GELOGE(rt_ret, "runtime get phy_device_id failed, current phy_device_id:%d", phy_device_id); | |||
return; | |||
} | |||
GELOGI("current phy_device_id:%d", phy_device_id); | |||
if (!is_acl_api_mode_) { | |||
auto ret = std::find(device_id_.begin(), device_id_.end(), phy_device_id); | |||
auto ret = std::find(device_id_.begin(), device_id_.end(), logic_device_id); | |||
if (ret == device_id_.end()) { | |||
GELOGE(FAILED, "get valid phy_device_id failed, profiling report failed."); | |||
return; | |||
} | |||
} | |||
GELOGI("start ProfilingTaskDescInfo."); | |||
ProfilingTaskDescInfo(task_desc_info, phy_device_id); | |||
ProfilingTaskDescInfo(task_desc_info, logic_device_id); | |||
GELOGI("start ProfilingGraphDescInfo."); | |||
ProfilingGraphDescInfo(compute_graph_desc_info, phy_device_id); | |||
ProfilingGraphDescInfo(compute_graph_desc_info, logic_device_id); | |||
GELOGI("Report profiling data for GE end."); | |||
#endif | |||
} | |||
@@ -855,14 +851,8 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool ProfilingManager::Profilin | |||
} | |||
GELOGI("Current logic_device_id:%d", logic_device_id); | |||
uint32_t phy_device_id = 0; | |||
rt_ret = rtGetDevicePhyIdByIndex((uint32_t)logic_device_id, &phy_device_id); | |||
if (rt_ret != RT_ERROR_NONE) { | |||
GELOGE(rt_ret, "runtime get phy_device_id failed, current phy_device_id:%d", phy_device_id); | |||
} | |||
GELOGI("Current phy_device_id:%d", phy_device_id); | |||
bool execute_model_prof_on = false; | |||
auto iter = std::find(device_id_.begin(), device_id_.end(), phy_device_id); | |||
auto iter = std::find(device_id_.begin(), device_id_.end(), logic_device_id); | |||
if (iter != device_id_.end()) { | |||
execute_model_prof_on = true; | |||
} | |||
@@ -172,6 +172,12 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY DumpProperties &PropertiesManag | |||
return dump_properties_map_[session_id]; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void PropertiesManager::AddDumpProperties( | |||
uint64_t session_id, const DumpProperties &dump_properties) { | |||
std::lock_guard<std::mutex> lock(mutex_); | |||
dump_properties_map_.emplace(session_id, dump_properties); | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void PropertiesManager::RemoveDumpProperties(uint64_t session_id) { | |||
std::lock_guard<std::mutex> lock(mutex_); | |||
auto iter = dump_properties_map_.find(session_id); | |||
@@ -23,8 +23,8 @@ | |||
#include <string> | |||
#include <vector> | |||
#include "graph/op_desc.h" | |||
#include "common/dump/dump_properties.h" | |||
#include "graph/op_desc.h" | |||
namespace ge { | |||
// Configuration property management | |||
@@ -83,6 +83,10 @@ class PropertiesManager { | |||
void SetPropertyDelimiter(const std::string &de); | |||
DumpProperties &GetDumpProperties(uint64_t session_id); | |||
const map<uint64_t, DumpProperties> &GetDumpPropertiesMap() { return dump_properties_map_; } | |||
void AddDumpProperties(uint64_t session_id, const DumpProperties &dump_properties); | |||
void RemoveDumpProperties(uint64_t session_id); | |||
private: | |||
@@ -19,16 +19,16 @@ | |||
#include <fcntl.h> | |||
#include <sys/stat.h> | |||
#include <unistd.h> | |||
#include <regex.h> | |||
#include <unistd.h> | |||
#include <algorithm> | |||
#include <climits> | |||
#include <cstdlib> | |||
#include <ctime> | |||
#include <fstream> | |||
#include "external/ge/ge_api_error_codes.h" | |||
#include "common/util/error_manager/error_manager.h" | |||
#include "external/ge/ge_api_error_codes.h" | |||
#include "framework/common/debug/ge_log.h" | |||
#include "framework/common/fmk_types.h" | |||
#include "framework/common/ge_inner_error_codes.h" | |||
@@ -58,6 +58,7 @@ const int kWarningThreshold = 536870912 * 2; // 536870912 represent 512M | |||
const int kMaxFileSizeLimit = INT_MAX; | |||
const int kMaxBuffSize = 256; | |||
const char *const kPathValidReason = "The path can only contain 'a-z' 'A-Z' '0-9' '-' '.' '_' and chinese character"; | |||
constexpr uint32_t kMaxConfigFileByte = 10 * 1024 * 1024; | |||
} // namespace | |||
namespace ge { | |||
@@ -471,7 +472,7 @@ FMK_FUNC_HOST_VISIBILITY bool ValidateStr(const std::string &str, const std::str | |||
return true; | |||
} | |||
ret = regexec(®, str.c_str(), 0, nullptr, 0); | |||
ret = regexec(®, str.c_str(), 0, NULL, 0); | |||
if (ret) { | |||
regerror(ret, ®, ebuff, kMaxBuffSize); | |||
GELOGE(ge::PARAM_INVALID, "regexec failed, reason: %s", ebuff); | |||
@@ -482,4 +483,69 @@ FMK_FUNC_HOST_VISIBILITY bool ValidateStr(const std::string &str, const std::str | |||
regfree(®); | |||
return true; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY bool IsValidFile(const char *file_path) { | |||
if (file_path == nullptr) { | |||
GELOGE(PARAM_INVALID, "Config path is null."); | |||
return false; | |||
} | |||
if (!CheckInputPathValid(file_path)) { | |||
GELOGE(PARAM_INVALID, "Config path is invalid: %s", file_path); | |||
return false; | |||
} | |||
// Normalize the path | |||
std::string resolved_file_path = RealPath(file_path); | |||
if (resolved_file_path.empty()) { | |||
GELOGE(PARAM_INVALID, "Invalid input file path [%s], make sure that the file path is correct.", file_path); | |||
return false; | |||
} | |||
mmStat_t stat = {0}; | |||
int32_t ret = mmStatGet(resolved_file_path.c_str(), &stat); | |||
if (ret != EN_OK) { | |||
GELOGE(PARAM_INVALID, "cannot get config file status, which path is %s, maybe not exist, return %d, errcode %d", | |||
resolved_file_path.c_str(), ret, mmGetErrorCode()); | |||
return false; | |||
} | |||
if ((stat.st_mode & S_IFMT) != S_IFREG) { | |||
GELOGE(PARAM_INVALID, "config file is not a common file, which path is %s, mode is %u", resolved_file_path.c_str(), | |||
stat.st_mode); | |||
return false; | |||
} | |||
if (stat.st_size > kMaxConfigFileByte) { | |||
GELOGE(PARAM_INVALID, "config file %s size[%ld] is larger than max config file Bytes[%u]", | |||
resolved_file_path.c_str(), stat.st_size, kMaxConfigFileByte); | |||
return false; | |||
} | |||
return true; | |||
} | |||
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status CheckPath(const char *path, size_t length) { | |||
if (path == nullptr) { | |||
GELOGE(PARAM_INVALID, "Config path is invalid."); | |||
return PARAM_INVALID; | |||
} | |||
if (strlen(path) != length) { | |||
GELOGE(PARAM_INVALID, "Path is invalid or length of config path is not equal to given length."); | |||
return PARAM_INVALID; | |||
} | |||
if (length == 0 || length > MMPA_MAX_PATH) { | |||
GELOGE(PARAM_INVALID, "Length of config path is invalid."); | |||
return PARAM_INVALID; | |||
} | |||
INT32 is_dir = mmIsDir(path); | |||
if (is_dir != EN_OK) { | |||
GELOGE(PATH_INVALID, "Open directory %s failed, maybe it is not exit or not a dir", path); | |||
return PATH_INVALID; | |||
} | |||
if (mmAccess2(path, M_R_OK) != EN_OK) { | |||
GELOGE(PATH_INVALID, "Read path[%s] failed, errmsg[%s]", path, strerror(errno)); | |||
return PATH_INVALID; | |||
} | |||
return SUCCESS; | |||
} | |||
} // namespace ge |
@@ -22,7 +22,7 @@ file(GLOB PROTO_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
"../../proto/insert_op.proto" | |||
"../../proto/op_mapping_info.proto" | |||
"../../proto/ge_ir.proto" | |||
"../proto/dump_task.proto" | |||
"../../proto/dump_task.proto" | |||
) | |||
file(GLOB SRC_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
@@ -73,6 +73,7 @@ file(GLOB SRC_LIST RELATIVE ${CMAKE_CURRENT_LIST_DIR} | |||
"../graph/manager/trans_var_data_utils.cc" | |||
"../graph/manager/util/debug.cc" | |||
"../hybrid/hybrid_davinci_model_stub.cc" | |||
"../hybrid/node_executor/aicpu/aicpu_ext_info.cc" | |||
"../model/ge_model.cc" | |||
"../model/ge_root_model.cc" | |||
"../omm/csa_interact.cc" | |||
@@ -118,6 +119,8 @@ target_link_libraries(ge_executor | |||
${slog} | |||
${mmpa} | |||
${msprof} | |||
${error_manager} | |||
${ascend_hal} | |||
rt | |||
dl) | |||
@@ -182,6 +182,37 @@ bool IsDynamicImageSizeMatchModel(uint64_t image_height, uint64_t image_width, | |||
GELOGE(ge::FAILED, "Dynamic resolution (%lu,%lu) can not match the gear of model.", image_height, image_width); | |||
return false; | |||
} | |||
bool IsDynmaicDimsSizeMatchModel(const vector<uint64_t> cur_dynamic_dims, const vector<vector<int64_t>> &batch_info) { | |||
if (batch_info.empty()) { | |||
GELOGE(ge::FAILED, "Dynamic batch info is empty."); | |||
return false; | |||
} | |||
bool find_match = false; | |||
for (auto resolution : batch_info) { | |||
if (cur_dynamic_dims.size() != resolution.size()) { | |||
GELOGE(ge::FAILED, "Cur dynamic dims param num is %zu, current resolution size is %zu.", cur_dynamic_dims.size(), | |||
resolution.size()); | |||
return false; | |||
} | |||
bool flag = true; | |||
for (std::size_t i = 0; i < resolution.size(); ++i) { | |||
if (cur_dynamic_dims[i] != static_cast<uint64_t>(resolution[i])) { | |||
flag = false; | |||
break; | |||
} | |||
} | |||
if (flag) { | |||
find_match = true; | |||
break; | |||
} | |||
} | |||
if (!find_match) { | |||
GELOGE(ge::FAILED, "choose dynamic dims can not match the gear of model."); | |||
} | |||
return find_match; | |||
} | |||
} // namespace | |||
namespace ge { | |||
@@ -347,9 +378,21 @@ Status GeExecutor::SetDynamicDims(uint32_t model_id, void *dynamic_input_addr, u | |||
vector<uint64_t> cur_dynamic_dims; | |||
Status ret = GetCurDynamicDims(model_id, dynamic_dims, cur_dynamic_dims); | |||
if (ret != SUCCESS) { | |||
GELOGE(FAILED, "Set cur gear dynmaic dims failed"); | |||
GELOGE(FAILED, "Set cur gear dynamic dims failed"); | |||
return FAILED; | |||
} | |||
std::vector<std::vector<int64_t>> batch_info; | |||
int32_t dynamic_type = static_cast<int32_t>(FIXED); | |||
ret = GraphExecutor::GetDynamicBatchInfo(model_id, batch_info, dynamic_type); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Get dynamic input info failed."); | |||
return ret; | |||
} | |||
if (!IsDynmaicDimsSizeMatchModel(cur_dynamic_dims, batch_info)) { | |||
GELOGE(PARAM_INVALID, "The current dynamic input does not match the gear of the model."); | |||
return PARAM_INVALID; | |||
} | |||
ret = GraphExecutor::SetDynamicSize(model_id, cur_dynamic_dims, static_cast<int32_t>(DYNAMIC_DIMS)); | |||
if (ret != SUCCESS) { | |||
@@ -410,6 +453,10 @@ Status GeExecutor::GetCurDynamicDims(uint32_t model_id, const vector<uint64_t> & | |||
for (std::size_t i = 0; i < all_data_dims.size(); ++i) { | |||
if (all_data_dims[i] < 0) { | |||
cur_dynamic_dims.push_back(dynamic_dims[i]); | |||
} else if (static_cast<uint64_t>(all_data_dims[i]) != dynamic_dims[i]) { | |||
GELOGE(PARAM_INVALID, "Static dims should be same, index: %zu value: %d should be %d", i, dynamic_dims[i], | |||
all_data_dims[i]); | |||
return PARAM_INVALID; | |||
} | |||
} | |||
return SUCCESS; | |||
@@ -698,6 +745,22 @@ Status GeExecutor::GetAIPPInfo(uint32_t model_id, uint32_t index, AippConfigInfo | |||
GELOGI("GetAIPPInfo succ."); | |||
return SUCCESS; | |||
} | |||
Status GeExecutor::GetAippType(uint32_t model_id, uint32_t index, InputAippType &type, size_t &aipp_index) { | |||
GELOGI("Begin to get aipp type."); | |||
if (!isInit_) { | |||
GELOGE(GE_EXEC_NOT_INIT, "not inited yet!"); | |||
return GE_EXEC_NOT_INIT; | |||
} | |||
Status ret = GraphExecutor::GetAippType(model_id, index, type, aipp_index); | |||
if (ret != SUCCESS) { | |||
GELOGW("Get aipp type is not success."); | |||
return ret; | |||
} | |||
GELOGI("Get aipp type success."); | |||
return SUCCESS; | |||
} | |||
Status GeExecutor::GetModelAttr(uint32_t model_id, std::vector<std::string> &dynamic_output_shape_info) { | |||
GELOGI("Begin to get dynamic batch output shape info"); | |||
if (!isInit_) { | |||
@@ -60,6 +60,7 @@ local_ge_executor_src_files := \ | |||
../single_op/task/aicpu_task_builder.cc \ | |||
../single_op/task/aicpu_kernel_task_builder.cc \ | |||
../hybrid/hybrid_davinci_model_stub.cc\ | |||
../hybrid/node_executor/aicpu/aicpu_ext_info.cc \ | |||
local_ge_executor_c_include := \ | |||
proto/insert_op.proto \ | |||
@@ -87,6 +88,8 @@ local_ge_executor_shared_library := \ | |||
libgraph \ | |||
libregister \ | |||
libmsprof \ | |||
liberror_manager \ | |||
libascend_hal | |||
local_ge_executor_ldflags := -lrt -ldl \ | |||
@@ -102,6 +105,7 @@ LOCAL_SRC_FILES := $(local_ge_executor_src_files) | |||
LOCAL_C_INCLUDES := $(local_ge_executor_c_include) | |||
LOCAL_SHARED_LIBRARIES := $(local_ge_executor_shared_library) | |||
LOCAL_STATIC_LIBRARIES := libmsprofiler | |||
ifeq ($(device_os),android) | |||
LOCAL_LDFLAGS += -ldl | |||
LOCAL_LDLIBS += -L$(PWD)/prebuilts/clang/linux-x86/aarch64/android-ndk-r21/sysroot/usr/lib/aarch64-linux-android/29 -llog | |||
@@ -137,6 +141,10 @@ LOCAL_SHARED_LIBRARIES := \ | |||
libgraph \ | |||
libregister \ | |||
libmsprof \ | |||
liberror_manager \ | |||
stub/libascend_hal | |||
LOCAL_STATIC_LIBRARIES := libmsprofiler | |||
LOCAL_LDFLAGS += $(local_ge_executor_ldflags) | |||
@@ -29,6 +29,7 @@ COMMON_LOCAL_SRC_FILES := \ | |||
common/dump/dump_properties.cc \ | |||
common/dump/dump_manager.cc \ | |||
common/dump/dump_op.cc \ | |||
common/dump/dump_server.cc \ | |||
common/helper/model_cache_helper.cc \ | |||
ge_local_engine/engine/host_cpu_engine.cc \ | |||
@@ -254,6 +255,7 @@ OME_HOST_SRC_FILES := \ | |||
single_op/stream_resource.cc \ | |||
single_op/single_op_manager.cc \ | |||
hybrid/hybrid_davinci_model_stub.cc \ | |||
hybrid/node_executor/aicpu/aicpu_ext_info.cc \ | |||
# graph/load/new_model_manager/task_info/hccl_task_info.cc | |||
OME_DEVICE_SRC_FILES := $(OME_HOST_SRC_FILES) | |||
@@ -286,6 +288,7 @@ COMMON_LOCAL_C_INCLUDES := \ | |||
$(TOPDIR)inc/runtime \ | |||
$(TOPDIR)libc_sec/include \ | |||
$(TOPDIR)ops/built-in/op_proto/inc \ | |||
$(TOPDIR)toolchain/ide/ide-daemon/external \ | |||
third_party/json/include \ | |||
third_party/protobuf/include \ | |||
third_party/opencv/include \ | |||
@@ -340,6 +343,7 @@ DEVICE_LOCAL_C_INCLUDES := \ | |||
$(TOPDIR)inc/runtime \ | |||
$(TOPDIR)ops/built-in/op_proto/inc \ | |||
$(TOPDIR)framework/domi \ | |||
$(TOPDIR)toolchain/ide/ide-daemon/external \ | |||
third_party/json/include \ | |||
third_party/protobuf/include \ | |||
third_party/opencv/include \ | |||
@@ -351,7 +355,7 @@ LOCAL_MODULE := libge_compiler | |||
LOCAL_CFLAGS += -DPROTOBUF_INLINE_NOT_IN_HEADERS=0 -DREUSE_MEMORY=1 -O2 | |||
# from ome_inference.mk | |||
LOCAL_CFLAGS += -DFMK_HOST_INFER -DFMK_SUPPORT_DUMP | |||
LOCAL_CFLAGS += -DFMK_HOST_INFER -DFMK_SUPPORT_DUMP -DCOMPILE_OMG_PACKAGE | |||
ifeq ($(DEBUG), 1) | |||
LOCAL_CFLAGS += -g -O0 | |||
endif | |||
@@ -414,7 +418,7 @@ include $(CLEAR_VARS) | |||
LOCAL_MODULE := libge_compiler | |||
LOCAL_CFLAGS += -DGOOGLE_PROTOBUF_NO_RTTI -DDEV_VISIBILITY -DNONSUPPORT_SAVE_TO_FILE | |||
LOCAL_CFLAGS += -DPROTOBUF_INLINE_NOT_IN_HEADERS=0 | |||
LOCAL_CFLAGS += -DREUSE_MEMORY=1 -DFMK_SUPPORT_DUMP | |||
LOCAL_CFLAGS += -DREUSE_MEMORY=1 -DFMK_SUPPORT_DUMP -DCOMPILE_OMG_PACKAGE | |||
LOCAL_CFLAGS += -DOMG_DEVICE_VERSION | |||
LOCAL_CFLAGS += -O2 | |||
LOCAL_MODULE_CLASS := SHARED_LIBRARIES | |||
@@ -42,7 +42,7 @@ include_directories(${CMAKE_BINARY_DIR}/proto/ge) | |||
######### libge_local_engine.so ############# | |||
add_library(ge_local_engine SHARED ${SRC_LIST} ${PROTO_HDRS}) | |||
target_compile_definitions(ge_local_engine PRIVATE Werror) | |||
target_compile_definitions(ge_local_engine PRIVATE Werror COMPILE_OMG_PACKAGE) | |||
target_link_libraries(ge_local_engine | |||
graph | |||
${PROTOBUF_LIBRARY} | |||
@@ -25,40 +25,65 @@ | |||
#include "common/ge/plugin_manager.h" | |||
#include "graph/utils/type_utils.h" | |||
#include "common/fp16_t.h" | |||
#include "common/math/math_util.h" | |||
namespace { | |||
#define CREATE_OUTPUT_CASE(DTYPE, TYPE) \ | |||
case (DTYPE): { \ | |||
GeTensorPtr ge_tensor = nullptr; \ | |||
if (need_create_flag) { \ | |||
int64_t data_num = out_desc.GetShape().IsScalar() ? 1 : out_desc.GetShape().GetShapeSize(); \ | |||
std::unique_ptr<TYPE[]> buf(new (std::nothrow) TYPE[data_num]()); \ | |||
if (buf == nullptr) { \ | |||
GELOGE(MEMALLOC_FAILED, "New sizeof(T) * data_num(%zu) memory failed", \ | |||
static_cast<size_t>(sizeof(TYPE) * data_num)); \ | |||
return MEMALLOC_FAILED; \ | |||
} \ | |||
ge_tensor = MakeShared<GeTensor>(out_desc); \ | |||
GE_CHECK_NOTNULL(ge_tensor); \ | |||
GELOGI("node:%s allocate output %zu, size=%lld", op_desc->GetName().c_str(), i, data_num * sizeof(TYPE)); \ | |||
ge_tensor->SetData(reinterpret_cast<uint8_t *>(buf.get()), data_num * sizeof(TYPE)); \ | |||
ge_tensor->MutableTensorDesc().SetDataType(out_desc.GetDataType()); \ | |||
ge_tensor->MutableTensorDesc().SetShape(out_desc.GetShape()); \ | |||
outputs.emplace_back(ge_tensor); \ | |||
} else { \ | |||
ge_tensor = outputs[i]; \ | |||
GE_CHECK_NOTNULL(ge_tensor); \ | |||
GELOGI("node:%s existed output %zu, addr=%p, size=%lld", op_desc->GetName().c_str(), i, \ | |||
reinterpret_cast<const uint8_t *>(ge_tensor->GetData().data()), ge_tensor->GetData().size()); \ | |||
} \ | |||
auto tensor = TensorAdapter::AsTensor(*ge_tensor); \ | |||
auto tensor_name = op_desc->GetOutputNameByIndex(i); \ | |||
GE_RETURN_WITH_LOG_IF_TRUE(tensor_name.empty(), "Failed to get output name. node = %s, index = %zu", \ | |||
op_desc->GetName().c_str(), i); \ | |||
GELOGD("Successfully inserted output tensor. node = %s, index = %zu, output name = %s, addr = %p, size = %zu", \ | |||
op_desc->GetName().c_str(), i, tensor_name.c_str(), tensor.GetData(), tensor.GetSize()); \ | |||
named_outputs.emplace(tensor_name, tensor); \ | |||
break; \ | |||
#define CREATE_OUTPUT_CASE(DTYPE, TYPE) \ | |||
case (DTYPE): { \ | |||
GeTensorPtr ge_tensor = nullptr; \ | |||
if (need_create_flag) { \ | |||
int64_t num_size = out_desc.GetShape().IsScalar() ? 1 : out_desc.GetShape().GetShapeSize(); \ | |||
if (out_desc.GetShape().IsUnknownShape()) { \ | |||
std::vector<std::pair<int64_t, int64_t>> range; \ | |||
if (out_desc.GetShapeRange(range) != GRAPH_SUCCESS) { \ | |||
GELOGE(INTERNAL_ERROR, "Get shape range failed, node:%s", op_desc->GetName().c_str()); \ | |||
return INTERNAL_ERROR; \ | |||
} \ | |||
int64_t max_range_size = 1; \ | |||
for (const auto &item : range) { \ | |||
FMK_INT64_MULCHECK(max_range_size, item.second); \ | |||
max_range_size *= item.second; \ | |||
} \ | |||
num_size = max_range_size; \ | |||
} \ | |||
if (num_size < 0) { \ | |||
GELOGE(INTERNAL_ERROR, "node:%s, get size for output %zu failed, num=%lld", op_desc->GetName().c_str(), i, \ | |||
num_size); \ | |||
return INTERNAL_ERROR; \ | |||
} \ | |||
auto data_num = static_cast<uint64_t>(num_size); \ | |||
GELOGI("node:%s allocate output %zu start, size=%lld", op_desc->GetName().c_str(), i, data_num * sizeof(TYPE)); \ | |||
std::unique_ptr<TYPE[]> buf(new (std::nothrow) TYPE[data_num]()); \ | |||
if (buf == nullptr) { \ | |||
GELOGE(MEMALLOC_FAILED, "New sizeof(T) * data_num(%zu) memory failed", \ | |||
static_cast<size_t>(sizeof(TYPE) * data_num)); \ | |||
return MEMALLOC_FAILED; \ | |||
} \ | |||
ge_tensor = MakeShared<GeTensor>(out_desc); \ | |||
GE_CHECK_NOTNULL(ge_tensor); \ | |||
GELOGI("node:%s allocate output %zu success, size=%lld", op_desc->GetName().c_str(), i, \ | |||
data_num * sizeof(TYPE)); \ | |||
if (ge_tensor->SetData(reinterpret_cast<uint8_t *>(buf.get()), data_num * sizeof(TYPE)) != GRAPH_SUCCESS) { \ | |||
GELOGE(MEMALLOC_FAILED, "Set data for output %zu of node %s failed.", i, op_desc->GetName().c_str()); \ | |||
return MEMALLOC_FAILED; \ | |||
} \ | |||
ge_tensor->MutableTensorDesc().SetDataType(out_desc.GetDataType()); \ | |||
ge_tensor->MutableTensorDesc().SetShape(out_desc.GetShape()); \ | |||
outputs.emplace_back(ge_tensor); \ | |||
} else { \ | |||
ge_tensor = outputs[i]; \ | |||
GE_CHECK_NOTNULL(ge_tensor); \ | |||
GELOGI("node:%s existed output %zu, addr=%p, size=%lld", op_desc->GetName().c_str(), i, \ | |||
reinterpret_cast<const uint8_t *>(ge_tensor->GetData().data()), ge_tensor->GetData().size()); \ | |||
} \ | |||
auto tensor = TensorAdapter::AsTensor(*ge_tensor); \ | |||
auto tensor_name = op_desc->GetOutputNameByIndex(i); \ | |||
GE_RETURN_WITH_LOG_IF_TRUE(tensor_name.empty(), "Failed to get output name. node = %s, index = %zu", \ | |||
op_desc->GetName().c_str(), i); \ | |||
GELOGD("Successfully inserted output tensor. node = %s, index = %zu, output name = %s, addr = %p, size = %zu", \ | |||
op_desc->GetName().c_str(), i, tensor_name.c_str(), tensor.GetData(), tensor.GetSize()); \ | |||
named_outputs.emplace(tensor_name, tensor); \ | |||
break; \ | |||
} | |||
} // namespace | |||
@@ -42,7 +42,7 @@ include ${BUILD_HOST_SHARED_LIBRARY} | |||
include $(CLEAR_VARS) | |||
LOCAL_MODULE := atclib/libge_local_engine | |||
LOCAL_CFLAGS += -Werror | |||
LOCAL_CFLAGS += -std=c++11 | |||
LOCAL_CFLAGS += -std=c++11 -DCOMPILE_OMG_PACKAGE | |||
LOCAL_LDFLAGS := | |||
LOCAL_STATIC_LIBRARIES := | |||
@@ -1,5 +1,5 @@ | |||
LOCAL_PATH := $(call my-dir) | |||
include $(LOCAL_PATH)/stub/Makefile | |||
LIBGE_LOCAL_SRC_FILES := \ | |||
proto/fusion_model.proto \ | |||
proto/optimizer_priority.proto \ | |||
@@ -296,6 +296,7 @@ LIBGE_LOCAL_SRC_FILES := \ | |||
LIBCLIENT_LOCAL_SRC_FILES := \ | |||
proto/ge_api.proto \ | |||
client/ge_api.cc \ | |||
client/ge_prof.cc \ | |||
RUNNER_LOCAL_C_INCLUDES := \ | |||
$(LOCAL_PATH) ./ \ | |||
@@ -312,6 +313,7 @@ RUNNER_LOCAL_C_INCLUDES := \ | |||
$(TOPDIR)libc_sec/include \ | |||
$(TOPDIR)ops/built-in/op_proto/inc \ | |||
$(TOPDIR)framework/domi/analyzer \ | |||
$(TOPDIR)toolchain/ide/ide-daemon/external \ | |||
proto/fwk_adapter.proto \ | |||
proto/ge_ir.proto \ | |||
proto/insert_op.proto \ | |||
@@ -353,6 +355,8 @@ LOCAL_SRC_FILES := $(LIBGE_LOCAL_SRC_FILES) | |||
LOCAL_SRC_FILES += $(LIBCLIENT_LOCAL_SRC_FILES) | |||
LOCAL_STATIC_LIBRARIES := libge_memory \ | |||
libadump_server \ | |||
libmsprofiler \ | |||
LOCAL_SHARED_LIBRARIES := \ | |||
libc_sec \ | |||
@@ -371,6 +375,7 @@ LOCAL_LDFLAGS := -lrt -ldl | |||
LOCAL_SHARED_LIBRARIES += \ | |||
libruntime \ | |||
libresource \ | |||
stub/libascend_hal \ | |||
include $(BUILD_HOST_SHARED_LIBRARY) | |||
@@ -388,7 +393,8 @@ endif | |||
LOCAL_C_INCLUDES := $(RUNNER_LOCAL_C_INCLUDES) | |||
LOCAL_SRC_FILES := ../../out/ge/lib64/stub/ge_api.cc | |||
LOCAL_SRC_FILES := ../../out/ge/lib64/stub/ge_api.cc \ | |||
../../out/ge/lib64/stub/ge_prof.cc \ | |||
LOCAL_SHARED_LIBRARIES := | |||
@@ -438,6 +444,7 @@ LOCAL_SRC_FILES := $(LIBGE_LOCAL_SRC_FILES) | |||
LOCAL_SRC_FILES += $(LIBCLIENT_LOCAL_SRC_FILES) | |||
LOCAL_STATIC_LIBRARIES := libge_memory \ | |||
libadump_server \ | |||
LOCAL_SHARED_LIBRARIES := \ | |||
libc_sec \ | |||
@@ -450,6 +457,7 @@ LOCAL_LDFLAGS := -lrt -ldl | |||
LOCAL_SHARED_LIBRARIES += \ | |||
libruntime \ | |||
libresource \ | |||
stub/libascend_hal \ | |||
include $(BUILD_HOST_STATIC_LIBRARY) | |||
@@ -469,6 +477,7 @@ LOCAL_SRC_FILES := $(LIBGE_LOCAL_SRC_FILES) | |||
LOCAL_SRC_FILES += $(LIBCLIENT_LOCAL_SRC_FILES) | |||
LOCAL_STATIC_LIBRARIES := libge_memory \ | |||
libadump_server \ | |||
LOCAL_SHARED_LIBRARIES := \ | |||
libc_sec \ | |||
@@ -481,5 +490,6 @@ LOCAL_LDFLAGS := -lrt -ldl | |||
LOCAL_SHARED_LIBRARIES += \ | |||
libruntime \ | |||
libresource \ | |||
libascend_hal \ | |||
include $(BUILD_STATIC_LIBRARY) |
@@ -136,6 +136,13 @@ static Status AddInputs(const ComputeGraphPtr &graph, const NodePtr &node, GeTen | |||
bool attr) { | |||
GE_CHECK_NOTNULL_EXEC(graph, return PARAM_INVALID); | |||
GE_CHECK_NOTNULL_EXEC(node, return PARAM_INVALID); | |||
auto format = tensor.GetFormat(); | |||
auto data_type = tensor.GetDataType(); | |||
if (format == FORMAT_RESERVED && data_type == DT_UNDEFINED) { | |||
return SUCCESS; | |||
} | |||
string op_type; | |||
if (!AttrUtils::GetStr(tensor, kAttrOpType, op_type) || op_type.empty()) { | |||
op_type = DATA; | |||
@@ -521,8 +528,8 @@ Status GeGenerator::BuildSingleOp(OpDescPtr &op_desc, const vector<GeTensor> &in | |||
const string &model_file_name, OpEngineType engine_type, ModelBufferData &model_buff, | |||
bool is_offline) { | |||
GE_CHECK_NOTNULL_EXEC(op_desc, return PARAM_INVALID); | |||
if (!inputs.empty() && (inputs.size() != op_desc->GetInputsSize())) { | |||
GELOGE(PARAM_INVALID, "Tensor size: %zu, Inputs size: %zu", inputs.size(), op_desc->GetInputsSize()); | |||
if (!inputs.empty() && (inputs.size() != op_desc->GetAllInputsSize())) { | |||
GELOGE(PARAM_INVALID, "Tensor size: %zu, Inputs size: %zu", inputs.size(), op_desc->GetAllInputsSize()); | |||
return PARAM_INVALID; | |||
} | |||
if (!outputs.empty() && (outputs.size() != op_desc->GetOutputsSize())) { | |||
@@ -413,7 +413,8 @@ BlockMemAssigner::BlockMemAssigner(ComputeGraphPtr compute_graph, const map<stri | |||
life_time_(0) {} | |||
BlockMemAssigner::~BlockMemAssigner() { | |||
for (MemoryBlock *memory_block : memory_blocks_) { | |||
GELOGD("blocks_store_ size : %lu", blocks_store_.size()); | |||
for (MemoryBlock *memory_block : blocks_store_) { | |||
GE_DELETE_NEW_SINGLE(memory_block); | |||
} | |||
} | |||
@@ -544,7 +545,7 @@ bool CanReuseBySize(const map<string, uint64_t> &reusable_block_counts, const Me | |||
} | |||
bool BlockMemAssigner::IsOutNodeSetContinuousInput(const NodePtr &n, uint32_t out_index, std::string &peer_name, | |||
uint32_t &peer_input_index) { | |||
uint32_t &peer_input_index, bool &no_need_assign_memory) { | |||
if (n == nullptr || n->GetAllOutDataAnchors().size() <= 0) { | |||
return false; | |||
} | |||
@@ -571,6 +572,11 @@ bool BlockMemAssigner::IsOutNodeSetContinuousInput(const NodePtr &n, uint32_t ou | |||
// If GetBool fail, is_input_continuous is false. | |||
(void)ge::AttrUtils::GetBool(peer_in_node_desc, ATTR_NAME_CONTINUOUS_INPUT, is_input_continuous); | |||
GE_IF_BOOL_EXEC(is_input_continuous && CheckIsZeroMemNodeType(peer_node->GetType()), | |||
GELOGI("Node[%s] output[%u] no_need_assign_memory.", n->GetName().c_str(), out_index); | |||
no_need_assign_memory = true; return false;); | |||
if (is_input_continuous) { | |||
if (n->GetOwnerComputeGraph() != nullptr) { | |||
string graph_name = n->GetOwnerComputeGraph()->GetName(); | |||
@@ -828,6 +834,7 @@ MemoryBlock *BlockMemAssigner::ApplyMemory(size_t block_size, size_t real_size, | |||
} | |||
} | |||
memory_blocks_.emplace_back(block); | |||
blocks_store_.emplace_back(block); | |||
return block; | |||
} | |||
@@ -1143,8 +1150,10 @@ Status BlockMemAssigner::AssignOutputMemoryWithReuse(const NodePtr &node, vector | |||
bool out_node_set_continuous_input = false; | |||
bool no_need_assign_memory = ((size == 0) || CheckIsZeroMemNodeType(node->GetType())); | |||
if (!no_need_assign_memory) { | |||
out_node_set_continuous_input = IsOutNodeSetContinuousInput(node, i, peer_name, peer_input_index); | |||
no_need_assign_memory = IsAtomicOutputMemory(node, i, is_atomic, out_node_set_continuous_input); | |||
out_node_set_continuous_input = | |||
IsOutNodeSetContinuousInput(node, i, peer_name, peer_input_index, no_need_assign_memory); | |||
GE_IF_BOOL_EXEC(!no_need_assign_memory, | |||
no_need_assign_memory = IsAtomicOutputMemory(node, i, is_atomic, out_node_set_continuous_input);); | |||
} | |||
no_need_assign_memory = (no_need_assign_memory || IsKnownSubgraphData(node)); | |||
if (no_need_assign_memory) { | |||
@@ -1296,6 +1305,11 @@ void MergeBlocks(std::vector<MemoryBlock *> &dest, std::vector<MemoryBlock *> &s | |||
return; | |||
} | |||
if (dest[i] != nullptr && src[i] != nullptr) { | |||
if (!dest[i]->reuse_mem_ || !src[i]->reuse_mem_) { | |||
GELOGD("Diff batch's workspace can't be reused, i: %zu, dest[i]: %s, stream: %ld, src[i]: %s, stream: %ld.", i, | |||
dest[i]->String().c_str(), dest[i]->stream_id_, src[i]->String().c_str(), src[i]->stream_id_); | |||
continue; | |||
} | |||
for (auto &symbol : src[i]->SymbolList()) { | |||
dest[i]->AddSymbol(symbol); | |||
} | |||
@@ -259,6 +259,7 @@ class BlockMemAssigner : public MemAssigner { | |||
ge::ComputeGraphPtr compute_graph_; | |||
std::vector<MemoryBlock *> memory_blocks_; | |||
std::vector<MemoryBlock *> blocks_store_; | |||
std::vector<NodeTypeIndex> zero_memory_list_; | |||
@@ -357,7 +358,7 @@ class BlockMemAssigner : public MemAssigner { | |||
bool IsZeroCopyBlock(const NodePtr &node, bool continuous); | |||
bool IsOutNodeSetContinuousInput(const NodePtr &n, uint32_t out_index, std::string &peer_name, | |||
uint32_t &peer_input_index); | |||
uint32_t &peer_input_index, bool &no_need_assign_memory); | |||
/// | |||
/// @ingroup GE | |||
@@ -39,6 +39,33 @@ const size_t kVirtualInputNodeOutputSize = 1; | |||
const size_t kVirtualOutputNodeInputSize = 1; | |||
const size_t kVirtualNodeDataIndex = 0; | |||
const char *const kMbatchNodeNameFlag = "_ascend_mbatch_batch_"; | |||
int64_t GetSymbolOutputOffset(const std::map<std::string, std::string> &anchor_to_symbol, | |||
const std::map<std::string, std::list<ge::NodeIndexIO>> &symbol_to_anchors, | |||
const ge::NodePtr &node, const uint32_t i) { | |||
ge::NodeIndexIO cur_node_index_io(node, i, ge::kOut); | |||
auto iter1 = anchor_to_symbol.find(cur_node_index_io.ToString()); | |||
if (iter1 == anchor_to_symbol.end()) { | |||
return ge::kInvalidOffset; | |||
} | |||
auto out_symbol = iter1->second; | |||
auto iter2 = symbol_to_anchors.find(out_symbol); | |||
if (iter2 == symbol_to_anchors.end()) { | |||
return ge::kInvalidOffset; | |||
} | |||
for (const auto &node_index_io : iter2->second) { | |||
if (node_index_io.value_ == out_symbol) { | |||
vector<int64_t> output_list = node->GetOpDesc()->GetOutputOffset(); | |||
vector<int64_t> symbol_output_list = node_index_io.node_->GetOpDesc()->GetOutputOffset(); | |||
if (node_index_io.index_ >= symbol_output_list.size()) { | |||
return ge::kInvalidOffset; | |||
} | |||
GELOGD("Node %s %uth output offset is %ld, Symbol %s output offset is %ld.", node->GetName().c_str(), i, | |||
output_list[i], iter2->first.c_str(), symbol_output_list.at(node_index_io.index_)); | |||
return symbol_output_list.at(node_index_io.index_); | |||
} | |||
} | |||
return ge::kInvalidOffset; | |||
} | |||
} // namespace | |||
namespace ge { | |||
Status VariableMemoryAssigner::Assign() { | |||
@@ -227,7 +254,10 @@ Status GraphMemoryAssigner::ReAssignMemory(bool is_loop_graph, size_t &mem_offse | |||
if (mem_offset > VarManager::Instance(session_id)->GetGraphMemoryMaxSize()) { | |||
GELOGE(ge::FAILED, "Current memoffset %zu is greater than memory manager malloc max size %zu", mem_offset, | |||
VarManager::Instance(session_id)->GetGraphMemoryMaxSize()); | |||
ErrorManager::GetInstance().ATCReportErrMessage("E19022"); | |||
ErrorManager::GetInstance().ATCReportErrMessage( | |||
"E19022", {"size", "item", "maxsize"}, | |||
{std::to_string(mem_offset), "featuremap", | |||
std::to_string(VarManager::Instance(session_id)->GetGraphMemoryMaxSize())}); | |||
return ge::FAILED; | |||
} | |||
return SUCCESS; | |||
@@ -292,11 +322,19 @@ Status GraphMemoryAssigner::ReAssignContinuousMemory(bool is_loop_graph) { | |||
GELOGE(ge::FAILED, | |||
"There is an atomic conflict between the current node and the peer out node, not supported!"); | |||
return ge::FAILED; | |||
} else if (is_loop_graph) { | |||
GE_CHK_STATUS_RET(SetLoopGraphAtomicAttr(node, mem_clean_start)); | |||
} else { | |||
GE_CHK_STATUS_RET(SetAtomicCleanAttr(nullptr, {mem_clean_start}, {mem_clean_size}), | |||
"SetAtomicCleanAttr failed."); | |||
} | |||
const auto &in_control_anchor = node->GetInControlAnchor(); | |||
GE_CHECK_NOTNULL(in_control_anchor); | |||
for (const auto &peer_out_control_anchor : in_control_anchor->GetPeerOutControlAnchors()) { | |||
auto peer_out_node = peer_out_control_anchor->GetOwnerNode(); | |||
if (peer_out_node->GetType() == ATOMICADDRCLEAN) { | |||
ret = SetAtomicCleanAttr(peer_out_node, {mem_clean_start}, {mem_clean_size}); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Failed to set attr for atomic addr clean node %s.", peer_out_node->GetName().c_str()); | |||
return ret; | |||
} | |||
} | |||
} | |||
} | |||
} | |||
@@ -810,68 +848,37 @@ Status GraphMemoryAssigner::ReAssignVirtualNodesMemory(map<string, vector<NodePt | |||
} | |||
Status GraphMemoryAssigner::ReAssignAtomicMemory(bool is_loop_graph) { | |||
GE_CHECK_NOTNULL(compute_graph_); | |||
// Atomic op memory start addr | |||
int64_t atomic_mem_start = static_cast<int64_t>(memory_offset_[0].mem_offset_); | |||
GELOGI("Begin to reAssign atomic memory, atomic initial address mem_offset = %zu!", memory_offset_[0].mem_offset_); | |||
vector<NodePtr> connect_netoutput_nodes; | |||
for (auto &node : compute_graph_->GetAllNodes()) { | |||
auto node_op_desc = node->GetOpDesc(); | |||
if (node_op_desc == nullptr) { | |||
continue; | |||
} | |||
bool is_atomic = false; | |||
// If GetBool fail, is_atomic is false. | |||
(void)ge::AttrUtils::GetBool(node_op_desc, ATOMIC_ATTR_IS_ATOMIC_NODE, is_atomic); | |||
if (!is_atomic) { | |||
continue; | |||
} | |||
bool is_ref = false; | |||
// If GetBool fail, is_ref is false. | |||
(void)ge::AttrUtils::GetBool(node_op_desc, ATTR_NAME_REFERENCE, is_ref); | |||
if (is_ref) { | |||
GELOGE(ge::PARAM_INVALID, "The node %s cannot have both atomic and ref attribute.", | |||
node_op_desc->GetName().c_str()); | |||
return ge::PARAM_INVALID; | |||
} | |||
vector<int> is_connect_netoutput; | |||
// If GetBool fail, attr is_connect_netoutput is an empty vector. | |||
(void)ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_NODE_CONNECT_OUTPUT, is_connect_netoutput); | |||
if (!is_connect_netoutput.empty()) { | |||
connect_netoutput_nodes.emplace_back(node); | |||
continue; | |||
} | |||
map<NodePtr, vector<NodePtr>> normal_atomic_and_clean_nodes_map; | |||
vector<NodePtr> connecting_output_atomic_nodes; | |||
Status status = FilterAtomicNodesForMemoryAssign(normal_atomic_and_clean_nodes_map, connecting_output_atomic_nodes); | |||
if (status != SUCCESS) { | |||
GELOGE(status, "Failed to filter atomic nodes for memory assignment."); | |||
return status; | |||
} | |||
// Atomic op memory start addr of loop graph | |||
int64_t loop_graph_atomic_mem_start = static_cast<int64_t>(memory_offset_[0].mem_offset_); | |||
vector<int64_t> mem_offset_end; | |||
if (AssignAtomicOutputAndWorkspaceMemory(node, mem_offset_end) != SUCCESS) { | |||
GELOGE(FAILED, "Assign atomic output and workspace memory failed, node is %s.", node->GetName().c_str()); | |||
return FAILED; | |||
} | |||
for (auto &iter : normal_atomic_and_clean_nodes_map) { | |||
int64_t atomic_mem_start = static_cast<int64_t>(memory_offset_[0].mem_offset_); | |||
GELOGD("Begin to reAssign atomic memory, atomic address memory start = %ld", atomic_mem_start); | |||
/// In networks with loop op, atomic op uses atomic_addr_clean op independently, | |||
/// so we need to set the attr separately. | |||
if (is_loop_graph) { | |||
GE_CHK_STATUS_RET(SetLoopGraphAtomicAttr(node, loop_graph_atomic_mem_start)); | |||
for (auto &atomic_node : iter.second) { | |||
vector<int64_t> mem_offset_end; | |||
status = AssignAtomicOutputAndWorkspaceMemory(atomic_node, mem_offset_end); | |||
if (status != SUCCESS) { | |||
GELOGE(status, "Assign atomic output and workspace memory failed, node name is %s.", | |||
atomic_node->GetName().c_str()); | |||
return status; | |||
} | |||
} | |||
} | |||
// In networks without loop op, the same atomic addr clean op is used for atomic op | |||
if (!is_loop_graph) { | |||
// Set the address attr of atomic clean operator | |||
int64_t atomic_mem_size = memory_offset_[0].mem_offset_ - atomic_mem_start; | |||
if (atomic_mem_size != 0) { | |||
GE_CHK_STATUS_RET(SetAtomicCleanAttr(nullptr, {atomic_mem_start}, {atomic_mem_size}), | |||
"SetAtomicCleanAttr failed."); | |||
int64_t atomic_mem_size = static_cast<int64_t>(memory_offset_[0].mem_offset_) - atomic_mem_start; | |||
status = SetAtomicCleanAttr(iter.first, {atomic_mem_start}, {atomic_mem_size}); | |||
if (status != SUCCESS) { | |||
GELOGE(status, "Failed to set attr for atomic addr clean node %s.", iter.first->GetName().c_str()); | |||
return status; | |||
} | |||
} | |||
if (AssignConnectNetOutputAtomicMemory(connect_netoutput_nodes) != SUCCESS) { | |||
if (AssignConnectNetOutputAtomicMemory(connecting_output_atomic_nodes) != SUCCESS) { | |||
GELOGE(FAILED, "Failed to assign memory of nodes that connect to netoutput."); | |||
return FAILED; | |||
} | |||
@@ -879,6 +886,55 @@ Status GraphMemoryAssigner::ReAssignAtomicMemory(bool is_loop_graph) { | |||
return SUCCESS; | |||
} | |||
Status GraphMemoryAssigner::FilterAtomicNodesForMemoryAssign(map<NodePtr, vector<NodePtr>> &normal_atomic_nodes_map, | |||
vector<NodePtr> &connecting_output_atomic_nodes) { | |||
GE_CHECK_NOTNULL(compute_graph_); | |||
for (const auto &node : compute_graph_->GetAllNodes()) { | |||
if (node->GetType() == ATOMICADDRCLEAN) { | |||
vector<NodePtr> tmp_normal_atomic_nodes; | |||
const auto &out_control_anchor = node->GetOutControlAnchor(); | |||
GE_CHECK_NOTNULL(out_control_anchor); | |||
for (const auto &peer_in_control_anchor : out_control_anchor->GetPeerInControlAnchors()) { | |||
if (peer_in_control_anchor != nullptr) { | |||
auto peer_in_node = peer_in_control_anchor->GetOwnerNode(); | |||
auto peer_in_node_desc = peer_in_node->GetOpDesc(); | |||
if (peer_in_node_desc != nullptr) { | |||
bool is_atomic_node = false; | |||
// If GetBool fail, is_atomic_node is false. | |||
(void)ge::AttrUtils::GetBool(peer_in_node_desc, ATOMIC_ATTR_IS_ATOMIC_NODE, is_atomic_node); | |||
if (is_atomic_node) { | |||
bool is_reference = false; | |||
// If GetBool fail, is_reference is false. | |||
(void)ge::AttrUtils::GetBool(peer_in_node_desc, ATTR_NAME_REFERENCE, is_reference); | |||
if (is_reference) { | |||
GELOGE(ge::PARAM_INVALID, "The node %s cannot have both atomic and is_reference attribute.", | |||
peer_in_node_desc->GetName().c_str()); | |||
return ge::PARAM_INVALID; | |||
} | |||
vector<int> is_connecting_output; | |||
// If GetBool fail, attr is_connecting_output is an empty vector. | |||
(void)ge::AttrUtils::GetListInt(peer_in_node_desc, ATTR_NAME_NODE_CONNECT_OUTPUT, is_connecting_output); | |||
if (is_connecting_output.empty()) { | |||
tmp_normal_atomic_nodes.emplace_back(peer_in_node); | |||
continue; | |||
} | |||
connecting_output_atomic_nodes.emplace_back(peer_in_node); | |||
tmp_normal_atomic_nodes.clear(); | |||
break; | |||
} | |||
} | |||
} | |||
} | |||
if (!tmp_normal_atomic_nodes.empty()) { | |||
normal_atomic_nodes_map[node] = tmp_normal_atomic_nodes; | |||
} | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
Status GraphMemoryAssigner::AssignAtomicOutputAndWorkspaceMemory(const ge::NodePtr &node, | |||
vector<int64_t> &mem_offset_end) { | |||
auto node_op_desc = node->GetOpDesc(); | |||
@@ -908,6 +964,8 @@ Status GraphMemoryAssigner::AssignAtomicOutputAndWorkspaceMemory(const ge::NodeP | |||
GELOGE(ret, "Assign atomic workspace memory failed, node is %s.", node_op_desc->GetName().c_str()); | |||
return ret; | |||
} | |||
} else { | |||
GELOGW("Current atomic node %s does not have attr ATOMIC_WORKSPACE_INFO.", node->GetName().c_str()); | |||
} | |||
return SUCCESS; | |||
@@ -1186,6 +1244,12 @@ Status GraphMemoryAssigner::AssignFusionAtomicWorkspaceMemory(const ge::OpDescPt | |||
} | |||
Status GraphMemoryAssigner::CheckOffset() { | |||
std::map<std::string, std::string> anchor_to_symbol; | |||
std::map<std::string, std::list<NodeIndexIO>> symbol_to_anchors; | |||
if (GraphUtils::GetRefMapping(compute_graph_, symbol_to_anchors, anchor_to_symbol) != GRAPH_SUCCESS) { | |||
GELOGE(FAILED, "Get ref-mapping for graph %s failed.", compute_graph_->GetName().c_str()); | |||
return FAILED; | |||
} | |||
for (const ge::NodePtr &node : compute_graph_->GetAllNodes()) { | |||
GE_CHECK_NOTNULL(node->GetOpDesc()); | |||
vector<int64_t> input_list = node->GetOpDesc()->GetInputOffset(); | |||
@@ -1195,13 +1259,26 @@ Status GraphMemoryAssigner::CheckOffset() { | |||
return FAILED; | |||
} | |||
} | |||
bool need_update_output = false; | |||
vector<int64_t> output_list = node->GetOpDesc()->GetOutputOffset(); | |||
for (auto output : output_list) { | |||
if (output == ge::kInvalidOffset) { | |||
for (uint32_t i = 0; i < output_list.size(); ++i) { | |||
if (output_list[i] == ge::kInvalidOffset) { | |||
GELOGE(FAILED, "Invalid offset in node: %s output: %ld.", node->GetName().c_str(), ge::kInvalidOffset); | |||
return FAILED; | |||
} | |||
if (node->GetType() == IDENTITY || node->GetType() == READVARIABLEOP) { | |||
auto symbol_offset = GetSymbolOutputOffset(anchor_to_symbol, symbol_to_anchors, node, i); | |||
if (symbol_offset != ge::kInvalidOffset && output_list[i] != symbol_offset) { | |||
output_list[i] = symbol_offset; | |||
need_update_output = true; | |||
} | |||
} | |||
} | |||
if (need_update_output) { | |||
node->GetOpDesc()->SetOutputOffset(output_list); | |||
} | |||
vector<int64_t> workspace_list = node->GetOpDesc()->GetWorkspace(); | |||
for (auto workspace : workspace_list) { | |||
if (workspace == ge::kInvalidOffset) { | |||
@@ -1280,6 +1357,7 @@ ge::Status GraphMemoryAssigner::UpdateOpInputOffset(const NodePtr &node, vector< | |||
vector<int64_t> memory_type; | |||
auto tmp_op_desc = node->GetOpDesc(); | |||
origin_input_list = tmp_op_desc->GetInputOffset(); | |||
int64_t valid_input_index = 0; | |||
bool has_mem_type_attr = ge::AttrUtils::GetListInt(tmp_op_desc, ATTR_NAME_INPUT_MEM_TYPE_LIST, memory_type); | |||
for (const auto &anchor : node->GetAllInDataAnchors()) { | |||
vector<int64_t> output_list; | |||
@@ -1293,8 +1371,9 @@ ge::Status GraphMemoryAssigner::UpdateOpInputOffset(const NodePtr &node, vector< | |||
auto last_peer_out_op_desc = last_peer_out_node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(last_peer_out_op_desc); | |||
output_list = last_peer_out_op_desc->GetOutputOffset(); | |||
if (output_list.size() > static_cast<size_t>(peer_out_anchor->GetIdx())) { | |||
auto input_index = anchor->GetIdx(); | |||
auto out_index = static_cast<unsigned long>(peer_out_anchor->GetIdx()); | |||
if (output_list.size() > static_cast<size_t>(out_index)) { | |||
int64_t input_offset = output_list.at(out_index); | |||
if (has_mem_type_attr) { | |||
auto input_size = tmp_op_desc->GetInputsSize(); | |||
auto ori_input_offset_list_size = origin_input_list.size(); | |||
@@ -1308,26 +1387,21 @@ ge::Status GraphMemoryAssigner::UpdateOpInputOffset(const NodePtr &node, vector< | |||
} | |||
// not hbm keep orignal inputoffest | |||
// hbm inputoffset = original inputoffset + outputoffset | |||
input_list.emplace_back(memory_type[input_index] == RT_MEMORY_L1 | |||
? origin_input_list[input_index] | |||
: origin_input_list[input_index] + output_list.at(peer_out_anchor->GetIdx())); | |||
GELOGI("fuison: node[%s] input[%d] is set from node[%s] out index[%d] offset[%ld]", | |||
tmp_op_desc->GetName().c_str(), input_index, | |||
peer_out_anchor->GetOwnerNode()->GetOpDesc()->GetName().c_str(), peer_out_anchor->GetIdx(), | |||
input_list.back()); | |||
} else { | |||
int64_t output_offset = output_list.at(peer_out_anchor->GetIdx()); | |||
const auto &in_node = GetKnownInputNode(peer_out_anchor->GetOwnerNode()); | |||
if (in_node->GetType() == CONSTANT) { | |||
GeTensorDesc tensor_desc = tmp_op_desc->GetInputDesc(input_index); | |||
GE_CHK_STATUS(TensorUtils::GetDataOffset(tensor_desc, output_offset)); | |||
} | |||
GELOGI("node[%s] input[%d] is set from node[%s] out index[%d] offset[%ld]", tmp_op_desc->GetName().c_str(), | |||
input_index, peer_out_anchor->GetOwnerNode()->GetOpDesc()->GetName().c_str(), peer_out_anchor->GetIdx(), | |||
output_offset); | |||
input_list.emplace_back(output_offset); | |||
input_offset = (memory_type[valid_input_index] == RT_MEMORY_L1 | |||
? origin_input_list[valid_input_index] | |||
: origin_input_list[valid_input_index] + output_list.at(out_index)); | |||
} | |||
const auto &in_node = GetKnownInputNode(peer_out_anchor->GetOwnerNode()); | |||
if (in_node->GetType() == CONSTANT) { | |||
GeTensorDesc tensor_desc = tmp_op_desc->GetInputDesc(static_cast<uint32_t>(anchor->GetIdx())); | |||
GE_CHK_STATUS(TensorUtils::GetDataOffset(tensor_desc, input_offset)); | |||
} | |||
GELOGI("%s node[%s] input[%d] is set from node[%s] out index[%lu] offset[%ld]", | |||
has_mem_type_attr == true ? "Fusion" : "", tmp_op_desc->GetName().c_str(), valid_input_index, | |||
peer_out_anchor->GetOwnerNode()->GetOpDesc()->GetName().c_str(), out_index, input_offset); | |||
input_list.emplace_back(input_offset); | |||
valid_input_index++; | |||
} | |||
} | |||
return ge::SUCCESS; | |||
@@ -1422,83 +1496,49 @@ Status GraphMemoryAssigner::SetIndependentAtomicAttr(const ge::NodePtr &node, in | |||
return SUCCESS; | |||
} | |||
Status GraphMemoryAssigner::SetLoopGraphAtomicAttr(const ge::NodePtr &node, int64_t atomic_mem_start) { | |||
// set the address attr of atomic clean operator for loop graph | |||
int64_t atomic_mem_size = memory_offset_[0].mem_offset_ - atomic_mem_start; | |||
GELOGI("SetLoopGraphAtomicAttr beign, atomic_addr_clean start size is %ld, mem_size is %ld, mem_offset is %zu.", | |||
atomic_mem_start, atomic_mem_size, memory_offset_[0].mem_offset_); | |||
const auto &in_control_anchor = node->GetInControlAnchor(); | |||
if (atomic_mem_size != 0 && in_control_anchor != nullptr) { | |||
for (auto &peer_out_control_anchor : in_control_anchor->GetPeerOutControlAnchors()) { | |||
if (peer_out_control_anchor == nullptr) { | |||
continue; | |||
} | |||
auto peer_out_node = peer_out_control_anchor->GetOwnerNode(); | |||
auto peer_out_node_desc = peer_out_node->GetOpDesc(); | |||
if (peer_out_node_desc == nullptr) { | |||
continue; | |||
} | |||
GELOGD("SetLoopGraphAtomicAttr, node is %s, op type is %s.", peer_out_node_desc->GetName().c_str(), | |||
peer_out_node_desc->GetType().c_str()); | |||
if (peer_out_node_desc->GetType() == ATOMICADDRCLEAN) { | |||
GE_CHK_STATUS_EXEC(SetAtomicCleanAttr(peer_out_node, {atomic_mem_start}, {atomic_mem_size}), | |||
GELOGE(FAILED, "SetAtomicCleanAttr failed."); | |||
return FAILED); | |||
} | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
ge::Status GraphMemoryAssigner::SetAtomicCleanAttr(const NodePtr &n, const vector<int64_t> &atomic_mem_start, | |||
ge::Status GraphMemoryAssigner::SetAtomicCleanAttr(const NodePtr &node, const vector<int64_t> &atomic_mem_start, | |||
const vector<int64_t> &atomic_mem_size) { | |||
for (ge::NodePtr &node : compute_graph_->GetAllNodes()) { | |||
auto node_op_desc = node->GetOpDesc(); | |||
GE_IF_BOOL_EXEC(node_op_desc == nullptr, continue); | |||
if (((n != nullptr) && (node->GetName() == n->GetName())) || | |||
((n == nullptr) && (node_op_desc->GetType() == ATOMICADDRCLEAN))) { | |||
vector<int64_t> workspace_vector = node_op_desc->GetWorkspace(); | |||
vector<int64_t> workspace_byte_vector = node_op_desc->GetWorkspaceBytes(); | |||
workspace_vector.insert(workspace_vector.end(), atomic_mem_start.begin(), atomic_mem_start.end()); | |||
workspace_byte_vector.insert(workspace_byte_vector.end(), atomic_mem_size.begin(), atomic_mem_size.end()); | |||
node_op_desc->SetWorkspace(workspace_vector); | |||
node_op_desc->SetWorkspaceBytes(workspace_byte_vector); | |||
std::vector<int64_t> mem_start_vector; | |||
// If GetListInt fail, mem_start_vector is empty. | |||
(void)ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_START, mem_start_vector); | |||
mem_start_vector.insert(mem_start_vector.end(), atomic_mem_start.begin(), atomic_mem_start.end()); | |||
GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_START, mem_start_vector), | |||
GELOGE(FAILED, "SetListInt failed."); | |||
return FAILED); | |||
std::vector<int64_t> mem_size_vector; | |||
// If GetListInt fail, mem_size_vector is empty. | |||
(void)ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_MEM_SIZE, mem_size_vector); | |||
mem_size_vector.insert(mem_size_vector.end(), atomic_mem_size.begin(), atomic_mem_size.end()); | |||
GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_MEM_SIZE, mem_size_vector), | |||
GELOGE(FAILED, "SetListInt failed."); | |||
return FAILED); | |||
std::stringstream ss; | |||
for (auto iter : atomic_mem_start) { | |||
ss << iter << " "; | |||
} | |||
string atomic_mem_start_str = ss.str(); | |||
ss.clear(); | |||
ss.str(""); | |||
for (auto iter : atomic_mem_size) { | |||
ss << iter << " "; | |||
} | |||
string atomic_mem_size_str = ss.str(); | |||
GELOGI("[IMAS]SetAtomicCleanAttr : Set graph[%s] atomic_node[%s] output offset [%s] size[%s] streamid[%ld]", | |||
node->GetOwnerComputeGraph()->GetName().c_str(), node_op_desc->GetName().c_str(), | |||
atomic_mem_start_str.c_str(), atomic_mem_size_str.c_str(), node->GetOpDesc()->GetStreamId()); | |||
auto node_op_desc = node->GetOpDesc(); | |||
if (node_op_desc != nullptr) { | |||
GELOGD("Node %s, set atomic clean attr start.", node->GetName().c_str()); | |||
vector<int64_t> workspace_vector = node_op_desc->GetWorkspace(); | |||
vector<int64_t> workspace_byte_vector = node_op_desc->GetWorkspaceBytes(); | |||
workspace_vector.insert(workspace_vector.end(), atomic_mem_start.begin(), atomic_mem_start.end()); | |||
workspace_byte_vector.insert(workspace_byte_vector.end(), atomic_mem_size.begin(), atomic_mem_size.end()); | |||
node_op_desc->SetWorkspace(workspace_vector); | |||
node_op_desc->SetWorkspaceBytes(workspace_byte_vector); | |||
std::vector<int64_t> mem_start_vector; | |||
// If GetListInt fail, mem_start_vector is empty. | |||
(void)ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_START, mem_start_vector); | |||
mem_start_vector.insert(mem_start_vector.end(), atomic_mem_start.begin(), atomic_mem_start.end()); | |||
GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_START, mem_start_vector), | |||
GELOGE(FAILED, "SetListInt failed."); | |||
return FAILED); | |||
std::vector<int64_t> mem_size_vector; | |||
// If GetListInt fail, mem_size_vector is empty. | |||
(void)ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_MEM_SIZE, mem_size_vector); | |||
mem_size_vector.insert(mem_size_vector.end(), atomic_mem_size.begin(), atomic_mem_size.end()); | |||
GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_MEM_SIZE, mem_size_vector), | |||
GELOGE(FAILED, "SetListInt failed."); | |||
return FAILED); | |||
std::stringstream ss; | |||
for (auto iter : atomic_mem_start) { | |||
ss << iter << " "; | |||
} | |||
string atomic_mem_start_str = ss.str(); | |||
ss.clear(); | |||
ss.str(""); | |||
for (auto iter : atomic_mem_size) { | |||
ss << iter << " "; | |||
} | |||
string atomic_mem_size_str = ss.str(); | |||
GELOGI("[IMAS]SetAtomicCleanAttr : Set graph[%s] atomic_node[%s] output offset [%s] size[%s] streamid[%ld]", | |||
node->GetOwnerComputeGraph()->GetName().c_str(), node_op_desc->GetName().c_str(), | |||
atomic_mem_start_str.c_str(), atomic_mem_size_str.c_str(), node->GetOpDesc()->GetStreamId()); | |||
} | |||
return SUCCESS; | |||
} | |||
@@ -135,6 +135,9 @@ class GraphMemoryAssigner { | |||
ge::Status ReAssignAtomicMemory(bool is_loop_graph); | |||
ge::Status FilterAtomicNodesForMemoryAssign(std::map<NodePtr, vector<NodePtr>> &normal_atomic_nodes_map, | |||
std::vector<NodePtr> &connecting_output_atomic_nodes); | |||
ge::Status AssignContinuousInputMemory(const ge::NodePtr &node, int64_t &continuous_mem_start, | |||
int64_t &continuous_mem_size); | |||
@@ -165,16 +168,12 @@ class GraphMemoryAssigner { | |||
ge::Status SetIndependentAtomicAttr(const ge::NodePtr &node, int64_t atomic_mem_start, | |||
const std::vector<int64_t> &mem_offset_end); | |||
/// | |||
/// @brief set loop graph atomic attr | |||
/// @param node, atomic memory assignment start offset | |||
/// @param atomic_mem_start: atomic op memory start address | |||
/// | |||
ge::Status SetLoopGraphAtomicAttr(const ge::NodePtr &node, int64_t atomic_mem_start); | |||
ge::Status SetAtomicCleanAttr(const ge::NodePtr &n, const std::vector<int64_t> &atomic_mem_start, | |||
ge::Status SetAtomicCleanAttr(const ge::NodePtr &node, const std::vector<int64_t> &atomic_mem_start, | |||
const std::vector<int64_t> &atomic_mem_size); | |||
ge::Status IsIndependentAtomicClean(const ge::NodePtr &node, bool &is_independent_atomic_clean_node); | |||
void AlignMemOffset(const int64_t &mem_align_size); | |||
ge::Status UpdateOpInputOffset(const NodePtr &node, vector<int64_t> &input_list) const; | |||
@@ -266,6 +266,14 @@ Status TaskGenerator::GenerateTask(RunContext &run_context, ComputeGraphPtr &gra | |||
if (is_unknown_shape) { | |||
GE_CHK_STATUS_RET(SetUnknownShapeStream(run_context, stream), "Set unknown shape stream failed."); | |||
} | |||
std::function<void()> callback = [&]() { | |||
if (is_unknown_shape) { | |||
if (DestroyUnknownShapeStream(run_context, stream) != SUCCESS) { | |||
GELOGE(FAILED, "Destory unknown shape stream failed."); | |||
} | |||
} | |||
}; | |||
GE_MAKE_GUARD(release, callback); | |||
for (auto &node : graph->GetNodes(graph->GetGraphUnknownFlag())) { | |||
OpDescPtr op_desc = node->GetOpDesc(); | |||
@@ -352,9 +360,6 @@ Status TaskGenerator::GenerateTask(RunContext &run_context, ComputeGraphPtr &gra | |||
op_kernel_lib_name.c_str(), name.c_str(), type.c_str(), op_id, stream_id, | |||
task_list_size_after - task_list_size_before); | |||
} | |||
if (is_unknown_shape) { | |||
GE_CHK_STATUS_RET(DestroyUnknownShapeStream(run_context, stream), "Destory unknown shape stream failed."); | |||
} | |||
GE_TIMESTAMP_CALLNUM_EVENT_END(GenerateTask, "GraphBuild::GenerateTask"); | |||
return SUCCESS; | |||
} | |||
@@ -532,6 +537,9 @@ Status TaskGenerator::MarkNodeAndSetIndex(ComputeGraphPtr &graph) { | |||
(void)ge_lib->DNNEngineManagerObj().GetDNNEngineName(node); | |||
} | |||
(void)op_desc->DelAttr(kIsFirstNode); | |||
(void)op_desc->DelAttr(kIsLastNode); | |||
all_stream_ops[op_desc->GetStreamId()].emplace_back(op_desc); | |||
} | |||
@@ -645,8 +653,6 @@ Status TaskGenerator::AutoFindBpOpIndex(const ComputeGraphPtr &graph, ProfilingP | |||
vector<uint32_t> &all_reduce_nodes) const { | |||
GELOGI("Start AutoFindBpOpIndex"); | |||
NodePtr bp_node = nullptr; | |||
uint32_t last_bp = 0; | |||
uint32_t iter_end = 0; | |||
uint32_t current_idx = 0; | |||
for (auto &node : graph->GetNodes(graph->GetGraphUnknownFlag())) { | |||
OpDescPtr op_desc = node->GetOpDesc(); | |||
@@ -662,20 +668,40 @@ Status TaskGenerator::AutoFindBpOpIndex(const ComputeGraphPtr &graph, ProfilingP | |||
all_reduce_nodes.emplace_back(current_idx); | |||
GELOGI("Allreduce name %s, idx %u", op_desc->GetName().c_str(), current_idx); | |||
} | |||
if (op_desc->GetType() == NETOUTPUT) { | |||
if (op_desc->GetName() == NODE_NAME_NET_OUTPUT) { | |||
if (bp_node == nullptr) { | |||
bp_node = node; | |||
} | |||
iter_end = current_idx; | |||
GELOGI("Iter end name %s, idx %u", op_desc->GetName().c_str(), iter_end); | |||
} | |||
if (graph->GetNeedIteration()) { | |||
if (op_desc->GetName() == NODE_NAME_NET_OUTPUT + '_' + NODE_NAME_STREAM_SWITCH + "_StreamActive") { | |||
profiling_point.end_index.insert(current_idx); | |||
GELOGI("Iter end name %s, idx %u, from Node_Output_IteratorCtrl_StreamSwitch_StreamActive", | |||
op_desc->GetName().c_str(), current_idx); | |||
} | |||
if (op_desc->GetName() == NODE_NAME_FLOWCTRL_LOOP_ASSIGN) { | |||
profiling_point.end_index.insert(current_idx); | |||
GELOGI("Iter end name %s, idx %u, from FlowCtrl_LoopCond_ASSIGN", op_desc->GetName().c_str(), current_idx); | |||
} | |||
} else { | |||
if (op_desc->GetName() == NODE_NAME_NET_OUTPUT) { | |||
profiling_point.end_index.insert(current_idx); | |||
GELOGI("Iter end name %s, idx %u, from NETOUTPUT", op_desc->GetName().c_str(), current_idx); | |||
} | |||
} | |||
} | |||
profiling_point.end_index = iter_end; | |||
if (bp_node == nullptr) { | |||
GELOGW("not find bp_node."); | |||
return SUCCESS; | |||
} | |||
profiling_point.bp_index = FindLastBpFromBpNode(graph, bp_node); | |||
return SUCCESS; | |||
} | |||
uint32_t TaskGenerator::FindLastBpFromBpNode(const ComputeGraphPtr &graph, const NodePtr &bp_node) const { | |||
uint32_t last_bp = 0; | |||
OpDescPtr bp_op_desc = nullptr; | |||
for (auto &in_anchor : bp_node->GetAllInDataAnchors()) { | |||
auto out_anchor = in_anchor->GetPeerOutAnchor(); | |||
@@ -691,7 +717,7 @@ Status TaskGenerator::AutoFindBpOpIndex(const ComputeGraphPtr &graph, ProfilingP | |||
} | |||
GE_CHECK_NOTNULL(bp_op_desc); | |||
current_idx = 0; | |||
uint32_t current_idx = 0; | |||
for (auto &node : graph->GetNodes(graph->GetGraphUnknownFlag())) { | |||
OpDescPtr op_desc = node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(op_desc); | |||
@@ -702,8 +728,7 @@ Status TaskGenerator::AutoFindBpOpIndex(const ComputeGraphPtr &graph, ProfilingP | |||
break; | |||
} | |||
} | |||
profiling_point.bp_index = last_bp; | |||
return SUCCESS; | |||
return last_bp; | |||
} | |||
Status TaskGenerator::FindFpOfEnv(const ComputeGraphPtr &graph, const std::string &fp_point_str, | |||
@@ -734,7 +759,6 @@ Status TaskGenerator::FindBpOfEnv(const ComputeGraphPtr &graph, const std::strin | |||
ProfilingPoint &profiling_point, vector<uint32_t> &all_reduce_nodes) const { | |||
GELOGI("Start FindBpOfEnv"); | |||
uint32_t current_idx = 0; | |||
uint32_t iter_end = 0; | |||
uint32_t last_bp = 0; | |||
for (auto &node : graph->GetNodes(graph->GetGraphUnknownFlag())) { | |||
OpDescPtr op_desc = node->GetOpDesc(); | |||
@@ -745,10 +769,23 @@ Status TaskGenerator::FindBpOfEnv(const ComputeGraphPtr &graph, const std::strin | |||
continue; | |||
} | |||
if (op_desc->GetType() == NETOUTPUT) { | |||
iter_end = current_idx; | |||
GELOGI("Iter end name %s, idx %u", op_desc->GetName().c_str(), iter_end); | |||
if (graph->GetNeedIteration()) { | |||
if (op_desc->GetName() == NODE_NAME_NET_OUTPUT + '_' + NODE_NAME_STREAM_SWITCH + "_StreamActive") { | |||
profiling_point.end_index.insert(current_idx); | |||
GELOGI("Iter end name %s, idx %u, from Node_Output_IteratorCtrl_StreamSwitch_StreamActive", | |||
op_desc->GetName().c_str(), current_idx); | |||
} | |||
if (op_desc->GetName() == NODE_NAME_FLOWCTRL_LOOP_ASSIGN) { | |||
profiling_point.end_index.insert(current_idx); | |||
GELOGI("Iter end name %s, idx %u, from FlowCtrl_LoopCond_ASSIGN", op_desc->GetName().c_str(), current_idx); | |||
} | |||
} else { | |||
if (op_desc->GetName() == NODE_NAME_NET_OUTPUT) { | |||
profiling_point.end_index.insert(current_idx); | |||
GELOGI("Iter end name %s, idx %u, from NETOUTPUT", op_desc->GetName().c_str(), current_idx); | |||
} | |||
} | |||
if (op_desc->GetType() == HCOMALLREDUCE || op_desc->GetType() == HVDCALLBACKALLREDUCE) { | |||
all_reduce_nodes.emplace_back(current_idx); | |||
GELOGI("Allreduce name %s, idx %u", op_desc->GetName().c_str(), current_idx); | |||
@@ -760,7 +797,6 @@ Status TaskGenerator::FindBpOfEnv(const ComputeGraphPtr &graph, const std::strin | |||
} | |||
profiling_point.bp_index = last_bp; | |||
profiling_point.end_index = iter_end; | |||
return SUCCESS; | |||
} | |||
@@ -857,7 +893,7 @@ Status TaskGenerator::InsertProfilingTaskBefore(const OpDescPtr &op_desc, const | |||
bool is_profiling = (profiling_mode != nullptr) || ProfilingManager::Instance().ProfilingOn() || | |||
ProfilingManager::Instance().ProfilingTrainingTraceOn(); | |||
if (!is_profiling || (profiling_point.fp_index == 0) || (profiling_point.bp_index == 0) || | |||
(profiling_point.end_index == 0)) { | |||
(profiling_point.end_index.empty())) { | |||
return SUCCESS; | |||
} | |||
if (profiling_point.fp_index == node_index) { | |||
@@ -914,7 +950,7 @@ Status TaskGenerator::InsertProfilingTaskAfter(const OpDescPtr &op_desc, const P | |||
bool is_profiling = (profiling_mode != nullptr) || ProfilingManager::Instance().ProfilingOn() || | |||
ProfilingManager::Instance().ProfilingTrainingTraceOn(); | |||
if (!is_profiling || (profiling_point.fp_index == 0) || (profiling_point.bp_index == 0) || | |||
(profiling_point.end_index == 0)) { | |||
(profiling_point.end_index.empty())) { | |||
return SUCCESS; | |||
} | |||
if (profiling_point.bp_index == node_index) { | |||
@@ -928,7 +964,7 @@ Status TaskGenerator::InsertProfilingTaskAfter(const OpDescPtr &op_desc, const P | |||
bp_log_def->set_notify(false); | |||
task_def_list.emplace_back(bp_task_def); | |||
} | |||
if (profiling_point.end_index == node_index) { | |||
if (profiling_point.end_index.find(node_index) != profiling_point.end_index.end()) { | |||
GELOGI("The iteration end operator is %s, idx %u", op_desc->GetName().c_str(), node_index); | |||
TaskDef end_task_def; | |||
end_task_def.set_type(RT_MODEL_TASK_PROFILER_TRACE); | |||
@@ -36,7 +36,7 @@ class OpsKernelManager; | |||
struct ProfilingPoint { | |||
uint32_t fp_index = 0; | |||
uint32_t bp_index = 0; | |||
uint32_t end_index = 0; | |||
std::set<uint32_t> end_index; | |||
}; | |||
// Describes infos needed by generate task for fusion node | |||
struct FusionTaskInfo { | |||
@@ -112,6 +112,7 @@ class TaskGenerator { | |||
Status AutoFindFpOpIndex(const ComputeGraphPtr &graph, ProfilingPoint &profiling_point) const; | |||
Status AutoFindBpOpIndex(const ComputeGraphPtr &graph, ProfilingPoint &profiling_point, | |||
vector<uint32_t> &all_reduce_nodes) const; | |||
uint32_t FindLastBpFromBpNode(const ComputeGraphPtr &graph, const NodePtr &bp_node) const; | |||
Status FindFpOfEnv(const ComputeGraphPtr &graph, const std::string &fp_point_str, | |||
ProfilingPoint &profiling_point) const; | |||
@@ -592,7 +592,17 @@ Status GraphExecutor::GetAIPPInfo(uint32_t model_id, uint32_t index, AippConfigI | |||
GELOGW("GetAIPPInfo is not success."); | |||
return ret; | |||
} | |||
return SUCCESS; | |||
} | |||
Status GraphExecutor::GetAippType(uint32_t model_id, uint32_t index, InputAippType &type, size_t &aipp_index) { | |||
auto model_manager = ge::ModelManager::GetInstance(); | |||
GE_CHECK_NOTNULL(model_manager); | |||
Status ret = model_manager->GetAippType(model_id, index, type, aipp_index); | |||
if (ret != SUCCESS) { | |||
GELOGW("Get aipp type is not success."); | |||
return ret; | |||
} | |||
return SUCCESS; | |||
} | |||
@@ -75,6 +75,8 @@ class GraphExecutor { | |||
static Status GetAIPPInfo(uint32_t model_id, uint32_t index, AippConfigInfo &aipp_info); | |||
static Status GetAippType(uint32_t model_id, uint32_t index, InputAippType &type, size_t &aipp_index); | |||
/// | |||
/// @ingroup ge | |||
/// @brief Get dynamic batch_info | |||
@@ -695,11 +695,7 @@ Status DataDumper::LoadDumpInfo() { | |||
} | |||
if (dump_properties_.GetDumpMode() == kDumpInput) { | |||
if (op_iter.is_task) { | |||
Status ret = DumpInput(op_iter, task); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Dump input failed"); | |||
return ret; | |||
} | |||
GE_CHK_STATUS_RET(DumpInput(op_iter, task), "Dump input failed"); | |||
} | |||
op_mapping_info.mutable_task()->Add(std::move(task)); | |||
continue; | |||
@@ -726,7 +722,7 @@ Status DataDumper::LoadDumpInfo() { | |||
SetOpDebugIdToAicpu(op_debug_task_id_, op_debug_stream_id_, op_debug_addr_, op_mapping_info); | |||
if (!op_list_.empty() || is_op_debug_) { | |||
if (!op_list_.empty() || is_op_debug_ || is_end_graph_) { | |||
auto ret = ExecuteLoadDumpInfo(op_mapping_info); | |||
if (ret != SUCCESS) { | |||
GELOGE(ret, "Execute load dump info failed"); | |||
@@ -740,7 +736,6 @@ void DataDumper::SetEndGraphIdToAicpu(uint32_t task_id, uint32_t stream_id, | |||
aicpu::dump::OpMappingInfo &op_mapping_info) { | |||
if (dump_properties_.GetDumpMode() == kDumpOutput || dump_properties_.GetDumpMode() == kDumpInput || | |||
dump_properties_.GetDumpMode() == kDumpAll) { | |||
GELOGI("Add end_graph_info to aicpu, task_id is %u, stream_id is %u", end_graph_task_id_, end_graph_stream_id_); | |||
aicpu::dump::Task task; | |||
task.set_end_graph(true); | |||
task.set_task_id(end_graph_task_id_); | |||
@@ -748,6 +743,14 @@ void DataDumper::SetEndGraphIdToAicpu(uint32_t task_id, uint32_t stream_id, | |||
task.mutable_op()->set_op_name(NODE_NAME_END_GRAPH); | |||
task.mutable_op()->set_op_type(ENDGRAPH); | |||
op_mapping_info.mutable_task()->Add(std::move(task)); | |||
is_end_graph_ = true; | |||
if (op_mapping_info.model_name_param_case() == aicpu::dump::OpMappingInfo::kModelName) { | |||
GELOGI("Add end_graph_info to aicpu, model_name is %s, task_id is %u, stream_id is %u", | |||
op_mapping_info.model_name().c_str(), end_graph_task_id_, end_graph_stream_id_); | |||
return; | |||
} | |||
GELOGI("Add end_graph_info to aicpu, task_id is %u, stream_id is %u", end_graph_task_id_, end_graph_stream_id_); | |||
} | |||
} | |||
@@ -116,6 +116,7 @@ class DataDumper { | |||
std::vector<InnerDumpInfo> op_list_; | |||
uint32_t end_graph_task_id_ = 0; | |||
uint32_t end_graph_stream_id_ = 0; | |||
bool is_end_graph_ = false; | |||
std::multimap<std::string, InnerInputMapping> input_map_; | |||
bool load_flag_; | |||
uint32_t device_id_; | |||
@@ -125,6 +125,7 @@ DavinciModel::DavinciModel(int32_t priority, const std::shared_ptr<ModelListener | |||
rt_model_stream_(nullptr), | |||
is_inner_model_stream_(false), | |||
is_async_mode_(false), | |||
last_execute_mode_(INITIALIZATION), | |||
session_id_(0), | |||
device_id_(0), | |||
maxDumpOpNum_(0), | |||
@@ -1572,6 +1573,48 @@ Status DavinciModel::GetAIPPInfo(uint32_t index, AippConfigInfo &aipp_info) { | |||
return SUCCESS; | |||
} | |||
Status DavinciModel::GetAippType(uint32_t index, InputAippType &type, size_t &aipp_index) { | |||
GE_CHK_BOOL_RET_STATUS(index < data_op_list_.size(), PARAM_INVALID, "Index %u is invalid.", index); | |||
// Set default value | |||
type = DATA_WITHOUT_AIPP; | |||
aipp_index = 0xFFFFFFFF; // default invalid value | |||
OpDescPtr data_op = data_op_list_[index]; | |||
GE_CHECK_NOTNULL(data_op); | |||
if (!data_op->HasAttr(ATTR_DATA_RELATED_AIPP_MODE)) { | |||
GELOGW("There is no aipp releated info with index %u.", index); | |||
return SUCCESS; | |||
} | |||
std::string data_mode; | |||
(void)AttrUtils::GetStr(data_op, ATTR_DATA_RELATED_AIPP_MODE, data_mode); | |||
if (data_mode == "static_aipp") { | |||
type = DATA_WITH_STATIC_AIPP; | |||
} else if (data_mode == "dynamic_aipp") { | |||
type = DATA_WITH_DYNAMIC_AIPP; | |||
} else if (data_mode == "dynamic_aipp_conf") { | |||
type = DYNAMIC_AIPP_NODE; | |||
} else { | |||
GELOGE(INTERNAL_ERROR, "The info of aipp releated info %s is invalid with index %u.", data_mode.c_str(), index); | |||
return INTERNAL_ERROR; | |||
} | |||
if (type == DATA_WITH_DYNAMIC_AIPP) { | |||
string releated_name; | |||
(void)AttrUtils::GetStr(data_op, ATTR_DATA_AIPP_DATA_NAME_MAP, releated_name); | |||
for (size_t i = 0; i < data_op_list_.size(); ++i) { | |||
GE_CHECK_NOTNULL(data_op_list_[i]); | |||
if (data_op_list_[i]->GetName() == releated_name) { | |||
GELOGI("Find aipp_data [%s] index %zu from index %u", releated_name.c_str(), i, index); | |||
aipp_index = i; | |||
} | |||
} | |||
if (aipp_index == 0xFFFFFFFF) { | |||
GELOGE(INTERNAL_ERROR, "Can not find aipp data node from index %u", index); | |||
return INTERNAL_ERROR; | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
void DavinciModel::SetDynamicSize(const std::vector<uint64_t> &batch_num, int32_t dynamic_type) { | |||
batch_size_.clear(); | |||
if (batch_num.empty()) { | |||
@@ -1665,9 +1708,9 @@ void DavinciModel::CreateInputDimsInfo(const OpDescPtr &op_desc, Format format, | |||
return; | |||
} | |||
// judge if this data is linked dynamic aipp first, multiply batch has been considered | |||
if (op_desc->HasAttr("_dynamic_aipp_input_dims")) { | |||
if (op_desc->HasAttr(ATTR_DYNAMIC_AIPP_INPUT_DIMS)) { | |||
vector<int64_t> dynamic_aipp_input_dims; | |||
(void)AttrUtils::GetListInt(op_desc, "_dynamic_aipp_input_dims", dynamic_aipp_input_dims); | |||
(void)AttrUtils::GetListInt(op_desc, ATTR_DYNAMIC_AIPP_INPUT_DIMS, dynamic_aipp_input_dims); | |||
SetInputDimsInfo(dynamic_aipp_input_dims, format, input); | |||
return; | |||
} else { | |||
@@ -1885,13 +1928,7 @@ Status DavinciModel::SinkModelProfile() { | |||
name = name_; | |||
} | |||
size_t name_len = name.size(); | |||
// phy device id | |||
uint32_t phy_device_id = 0; | |||
rtError_t rt_ret = rtGetDevicePhyIdByIndex(device_id_, &phy_device_id); | |||
GE_IF_BOOL_EXEC(rt_ret != RT_ERROR_NONE, | |||
GELOGE(rt_ret, "runtime get phy_device_id failed, current phy_device_id:%u", phy_device_id); | |||
return FAILED); | |||
reporter_data.deviceId = phy_device_id; | |||
reporter_data.deviceId = device_id_; | |||
reporter_data.data = (unsigned char *)&name_len; | |||
reporter_data.dataLen = sizeof(int32_t); | |||
GE_CHK_BOOL_EXEC(reporter->Report(&reporter_data) == SUCCESS, return FAILED, "Reporter data fail, model id:%u.", | |||
@@ -2060,12 +2097,7 @@ Status DavinciModel::SinkTimeProfile(const InputData ¤t_data) { | |||
GE_CHK_BOOL_EXEC(memcpy_s(reporter_data.tag, MSPROF_ENGINE_MAX_TAG_LEN, tag_name.c_str(), tag_name.size()) == EOK, | |||
return FAILED, "Sink model tag memcpy error."); | |||
// device id | |||
uint32_t phy_device_id = 0; | |||
rtError_t rt_ret = rtGetDevicePhyIdByIndex(device_id_, &phy_device_id); | |||
GE_IF_BOOL_EXEC(rt_ret != RT_ERROR_NONE, | |||
GELOGE(rt_ret, "runtime get phy_device_id failed, current phy_device_id:%u", phy_device_id); | |||
return FAILED); | |||
reporter_data.deviceId = phy_device_id; | |||
reporter_data.deviceId = device_id_; | |||
// Model Header | |||
string name; | |||
@@ -2879,6 +2911,12 @@ void DavinciModel::SetZeroCopyAddr(const OpDescPtr &op_desc, const std::vector<v | |||
} | |||
} | |||
} | |||
auto it = zero_copy_op_id_batch_label_.find(op_desc->GetId()); | |||
if (it == zero_copy_op_id_batch_label_.end()) { | |||
zero_copy_task.SetBatchLabel(kDefaultBatchLable); | |||
} else { | |||
zero_copy_task.SetBatchLabel(it->second); | |||
} | |||
std::lock_guard<std::mutex> lock(outside_addrs_mutex_); | |||
if (zero_copy_task.IsTaskArgsSet()) { | |||
@@ -3045,6 +3083,9 @@ Status DavinciModel::UpdateIoTaskArgs(const std::map<uint32_t, ZeroCopyOffset> & | |||
data.first, addr, size, buffer_addr); | |||
// For input data, just copy for rts task. | |||
for (ZeroCopyTask &task : zero_copy_tasks_) { | |||
if (task.GetBatchLabel() != kDefaultBatchLable && task.GetBatchLabel() != batch_label) { | |||
continue; | |||
} | |||
uintptr_t addr_val = reinterpret_cast<uintptr_t>(addr); | |||
if (task.UpdateTaskParam(addr_val, buffer_addr, zero_copy_batch_label_addrs_, batch_label) != SUCCESS) { | |||
return FAILED; | |||
@@ -3361,6 +3402,11 @@ bool DavinciModel::IsBroadCastOpData(const ge::NodePtr &var_node) { | |||
/// @return Status | |||
/// | |||
Status DavinciModel::InitModelStream(rtStream_t stream) { | |||
ExecuteMode curr_mode = is_async_mode_ ? ASYNCHRONIZATION : SYNCHRONIZATION; | |||
GE_CHK_BOOL_RET_STATUS((curr_mode == last_execute_mode_) || (last_execute_mode_ == INITIALIZATION), INTERNAL_ERROR, | |||
"NnExecute not support mix execute."); | |||
last_execute_mode_ = curr_mode; | |||
// asynchronize mode, use user input stream. | |||
if (is_async_mode_) { | |||
rt_model_stream_ = stream; | |||
@@ -3516,7 +3562,7 @@ uint8_t *DavinciModel::MallocWeightsMem(size_t weights_size) { | |||
} | |||
void DavinciModel::FreeFeatureMapMem() { | |||
if (std::getenv(kEnvGeuseStaticMemory) != nullptr) { | |||
if (std::getenv(kEnvGeuseStaticMemory) != nullptr && is_inner_mem_base_) { | |||
string weight_memory_key = std::to_string(0) + "_f"; | |||
if (MemManager::Instance(RT_MEMORY_HBM)->GetMemoryAddr(weight_memory_key) != nullptr) { | |||
GE_CHK_STATUS(MemManager::Instance(RT_MEMORY_HBM)->FreeMemory(weight_memory_key, GetDeviceId()), | |||
@@ -75,6 +75,12 @@ struct timeInfo { | |||
int64_t dumpEndTime; | |||
}; | |||
enum ExecuteMode { | |||
INITIALIZATION, | |||
SYNCHRONIZATION, | |||
ASYNCHRONIZATION, | |||
}; | |||
// comments | |||
class DavinciModel { | |||
public: | |||
@@ -314,6 +320,8 @@ class DavinciModel { | |||
/// | |||
Status GetAIPPInfo(uint32_t index, AippConfigInfo &aipp_info); | |||
Status GetAippType(uint32_t index, InputAippType &type, size_t &aipp_index); | |||
/// | |||
/// @ingroup ge | |||
/// @brief Get model_id. | |||
@@ -884,6 +892,7 @@ class DavinciModel { | |||
bool is_inner_model_stream_; | |||
bool is_async_mode_; // For NN execute, Async mode use rtMemcpyAsync on rt_model_stream_. | |||
ExecuteMode last_execute_mode_; | |||
bool is_stream_list_bind_{false}; | |||
bool is_pure_head_stream_{false}; | |||
@@ -43,6 +43,13 @@ const std::string kCmdTypeProfInit = "prof_init"; | |||
const std::string kCmdTypeProfFinalize = "prof_finalize"; | |||
const std::string kCmdTypeProfStart = "prof_start"; | |||
const std::string kCmdTypeProfStop = "prof_stop"; | |||
const char *const kLoadOpFromBuf = "loadOpFromBuf"; | |||
struct CustAicpuSoBuf { | |||
uint64_t kernelSoBuf; | |||
uint32_t kernelSoBufLen; | |||
uint64_t kernelSoName; | |||
uint32_t kernelSoNameLen; | |||
} __attribute__((packed)); | |||
} // namespace | |||
DumpProperties ModelManager::dump_properties_; | |||
@@ -163,7 +170,13 @@ void ModelManager::DestroyAicpuSession(uint64_t session_id) { | |||
GELOGI("The session: %lu not created.", session_id); | |||
return; | |||
} else { | |||
GE_CHK_RT(rtSetDevice(static_cast<int32_t>(GetContext().DeviceId()))); | |||
rtContext_t ctx = nullptr; | |||
bool has_ctx = (rtCtxGetCurrent(&ctx) == RT_ERROR_NONE); | |||
if (!has_ctx) { | |||
GELOGI("Set device %u.", GetContext().DeviceId()); | |||
GE_CHK_RT(rtSetDevice(static_cast<int32_t>(GetContext().DeviceId()))); | |||
} | |||
Status ret = KernelLaunchEx(aicpu::FWKAdapter::FWKOperateType::FWK_ADPT_SESSION_DESTROY, session_id, 0); | |||
if (ret != SUCCESS) { | |||
GELOGW("The session: %lu destroy failed.", session_id); | |||
@@ -171,7 +184,11 @@ void ModelManager::DestroyAicpuSession(uint64_t session_id) { | |||
(void)sess_ids_.erase(session_id); | |||
GELOGI("The session: %lu destroyed.", session_id); | |||
} | |||
GE_CHK_RT(rtDeviceReset(static_cast<int32_t>(GetContext().DeviceId()))); | |||
if (!has_ctx) { | |||
GELOGI("Reset device %u.", GetContext().DeviceId()); | |||
GE_CHK_RT(rtDeviceReset(static_cast<int32_t>(GetContext().DeviceId()))); | |||
} | |||
} | |||
} | |||
@@ -382,6 +399,7 @@ Status ModelManager::Unload(uint32_t model_id) { | |||
} | |||
std::lock_guard<std::mutex> lock(exeception_infos_mutex_); | |||
exception_infos_.clear(); | |||
cust_aicpu_so_.clear(); | |||
return SUCCESS; | |||
} | |||
@@ -858,6 +876,14 @@ Status ModelManager::GetAIPPInfo(const uint32_t model_id, uint32_t index, AippCo | |||
return davinci_model->GetAIPPInfo(index, aipp_info); | |||
} | |||
Status ModelManager::GetAippType(uint32_t model_id, uint32_t index, InputAippType &type, size_t &aipp_index) { | |||
std::shared_ptr<DavinciModel> davinci_model = GetModel(model_id); | |||
GE_CHK_BOOL_RET_STATUS(davinci_model != nullptr, PARAM_INVALID, "GetAIPPInfo failed, invalid model_id is %u.", | |||
model_id); | |||
return davinci_model->GetAippType(index, type, aipp_index); | |||
} | |||
Status ModelManager::GenSessionId(uint64_t &session_id) { | |||
std::lock_guard<std::mutex> lock(session_id_create_mutex_); | |||
@@ -919,7 +945,7 @@ Status ModelManager::LoadModelOffline(uint32_t &model_id, const ModelData &model | |||
} | |||
davinci_model->SetDeviceId(device_id); | |||
davinci_model->SetOmName(model.om_name); | |||
if (DumpManager::GetInstance().IsDumpOpen()) { | |||
if (DumpManager::GetInstance().GetDumpProperties().IsDumpOpen()) { | |||
davinci_model->SetDumpProperties(DumpManager::GetInstance().GetDumpProperties()); | |||
} else { | |||
davinci_model->SetDumpProperties(dump_properties_); | |||
@@ -1070,6 +1096,67 @@ Status ModelManager::CreateAicpuSession(uint64_t session_id) { | |||
return SUCCESS; | |||
} | |||
Status ModelManager::LoadCustAicpuSo(const OpDescPtr op_desc, string so_name) { | |||
std::lock_guard<std::mutex> lock(cust_aicpu_mutex_); | |||
auto it = cust_aicpu_so_.find(so_name); | |||
if (it == cust_aicpu_so_.end()) { | |||
GE_CHK_STATUS_RET(LaunchCustAicpuSo(op_desc, so_name), "LaunchCustAicpuSo failed. op name %s, so_name %s", | |||
op_desc->GetName().c_str(), so_name.c_str()); | |||
(void)cust_aicpu_so_.insert(so_name); | |||
GELOGI("LaunchCustAicpuSo op name %s, so_name %s.", op_desc->GetName().c_str(), so_name.c_str()); | |||
} | |||
return SUCCESS; | |||
} | |||
Status ModelManager::LaunchCustAicpuSo(const OpDescPtr op_desc, string so_name) { | |||
CustAICPUKernelPtr aicpu_kernel = op_desc->TryGetExtAttr(OP_EXTATTR_CUSTAICPU_KERNEL, CustAICPUKernelPtr()); | |||
if (aicpu_kernel == nullptr) { | |||
GELOGE(INTERNAL_ERROR, "cust aicpu op %s can't find kernel!", op_desc->GetName().c_str()); | |||
return INTERNAL_ERROR; | |||
} | |||
const void *aicpu_data = aicpu_kernel->GetBinData(); | |||
uint32_t aicpu_data_length = aicpu_kernel->GetBinDataSize(); | |||
void *d_aicpu_data = nullptr; | |||
void *d_so_name = nullptr; | |||
void *args = nullptr; | |||
rtError_t status; | |||
rtStream_t stream = nullptr; | |||
GE_CHK_RT(rtMalloc(&d_aicpu_data, aicpu_data_length, RT_MEMORY_HBM)); | |||
GE_CHK_RT(rtMemcpy(d_aicpu_data, aicpu_data_length, aicpu_data, aicpu_data_length, RT_MEMCPY_HOST_TO_DEVICE)); | |||
GE_CHK_RT(rtMalloc(&d_so_name, so_name.size(), RT_MEMORY_HBM)); | |||
GE_CHK_RT(rtMemcpy(d_so_name, so_name.size(), reinterpret_cast<const void *>(so_name.c_str()), so_name.size(), | |||
RT_MEMCPY_HOST_TO_DEVICE)); | |||
CustAicpuSoBuf cust_aicpu_so_buf; | |||
cust_aicpu_so_buf.kernelSoBuf = reinterpret_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_aicpu_data)); | |||
cust_aicpu_so_buf.kernelSoBufLen = aicpu_data_length; | |||
cust_aicpu_so_buf.kernelSoName = reinterpret_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_so_name)); | |||
cust_aicpu_so_buf.kernelSoNameLen = so_name.size(); | |||
uint32_t args_size = sizeof(CustAicpuSoBuf); | |||
GE_CHK_RT(rtMalloc(&args, args_size, RT_MEMORY_HBM)); | |||
GE_CHK_RT(rtMemcpy(args, args_size, static_cast<void *>(&cust_aicpu_so_buf), args_size, RT_MEMCPY_HOST_TO_DEVICE)); | |||
GE_CHK_RT(rtStreamCreate(&stream, 0)); | |||
GE_CHK_RT(rtCpuKernelLaunch(nullptr, kLoadOpFromBuf, 1, args, args_size, nullptr, stream)); | |||
status = rtStreamSynchronize(stream); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt stream sync failed, status: 0x%x", status); | |||
GE_CHK_RT(rtStreamDestroy(stream)); | |||
GE_CHK_RT(rtFree(args)); | |||
GE_CHK_RT(rtFree(d_aicpu_data)); | |||
GE_CHK_RT(rtFree(d_so_name)); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
GE_CHK_RT(rtStreamDestroy(stream)); | |||
GE_CHK_RT(rtFree(args)); | |||
GE_CHK_RT(rtFree(d_aicpu_data)); | |||
GE_CHK_RT(rtFree(d_so_name)); | |||
GELOGI("Cpu kernel launch loadOpFromBuf task success."); | |||
return SUCCESS; | |||
} | |||
/// | |||
/// @ingroup ge | |||
/// @brief get model memory size and weight | |||
@@ -224,6 +224,8 @@ class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ModelManager { | |||
/// | |||
ge::Status GetAIPPInfo(const uint32_t model_id, uint32_t index, AippConfigInfo &aipp_info); | |||
ge::Status GetAippType(uint32_t model_id, uint32_t index, InputAippType &type, size_t &aipp_index); | |||
/// | |||
/// @ingroup domi_ome | |||
/// @brief set model input and output size zero copy | |||
@@ -268,6 +270,10 @@ class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ModelManager { | |||
ge::Status DestroyAicpuSessionForInfer(uint32_t model_id); | |||
ge::Status LoadCustAicpuSo(const OpDescPtr op_desc, string so_name); | |||
ge::Status LaunchCustAicpuSo(const OpDescPtr op_desc, string so_name); | |||
ge::Status GetOrigInputInfo(uint32_t model_id, uint32_t index, OriginInputInfo &orig_input_info); | |||
ge::Status GenSessionId(uint64_t &session_id); | |||
@@ -333,6 +339,8 @@ class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ModelManager { | |||
uint64_t session_id_bias_; | |||
std::set<uint64_t> sess_ids_; | |||
std::vector<rtExceptionInfo> exception_infos_; | |||
std::mutex cust_aicpu_mutex_; | |||
std::set<std::string> cust_aicpu_so_; | |||
static DumpProperties dump_properties_; | |||
}; | |||
@@ -29,6 +29,14 @@ | |||
#include "framework/common/debug/ge_log.h" | |||
#include "graph/manager/graph_var_manager.h" | |||
#define VALIDATE_MEM_RANGE(OP, SIZE, OFFSET) \ | |||
do { \ | |||
if (SIZE <= static_cast<uint64_t>(OFFSET)) { \ | |||
GELOGE(OUT_OF_MEMORY, "Node: %s, memory out of range[%lu: %ld]", OP->GetName().c_str(), SIZE, OFFSET); \ | |||
return {}; \ | |||
} \ | |||
} while (0) | |||
namespace ge { | |||
/// | |||
/// @ingroup ge | |||
@@ -38,7 +46,7 @@ namespace ge { | |||
vector<int64_t> ModelUtils::GetInputSize(ConstOpDescPtr op_desc) { | |||
vector<int64_t> v_input_size; | |||
GE_CHECK_NOTNULL_EXEC(op_desc, return v_input_size); | |||
const size_t inputs_size = op_desc->GetInputsSize(); | |||
const size_t inputs_size = op_desc->GetAllInputsSize(); | |||
const string op_type = op_desc->GetType(); | |||
const vector<bool> v_is_input_const = op_desc->GetIsInputConst(); | |||
@@ -151,7 +159,7 @@ vector<int64_t> ModelUtils::GetWeightSize(ConstOpDescPtr op_desc) { | |||
} | |||
// other ops get weight from connected constop | |||
const size_t inputs_size = op_desc->GetInputsSize(); | |||
const size_t inputs_size = op_desc->GetAllInputsSize(); | |||
const vector<bool> v_is_input_const = op_desc->GetIsInputConst(); | |||
for (size_t i = 0; i < inputs_size; ++i) { | |||
if ((i < v_is_input_const.size()) && v_is_input_const[i]) { | |||
@@ -191,7 +199,7 @@ vector<ConstGeTensorPtr> ModelUtils::GetWeights(ConstOpDescPtr op_desc) { | |||
} | |||
// other ops get weight from connected constop | |||
const size_t inputs_size = op_desc->GetInputsSize(); | |||
const size_t inputs_size = op_desc->GetAllInputsSize(); | |||
const vector<bool> v_is_input_const = op_desc->GetIsInputConst(); | |||
for (size_t i = 0; i < inputs_size; ++i) { | |||
if ((i < v_is_input_const.size()) && v_is_input_const[i]) { | |||
@@ -221,7 +229,7 @@ vector<::tagCcAICPUTensor> ModelUtils::GetInputDescs(ConstOpDescPtr op_desc) { | |||
vector<::opTensor_t> v_input_descs; | |||
GE_CHECK_NOTNULL_EXEC(op_desc, return v_input_descs); | |||
const size_t inputs_size = op_desc->GetInputsSize(); | |||
const size_t inputs_size = op_desc->GetAllInputsSize(); | |||
const vector<bool> v_is_input_const = op_desc->GetIsInputConst(); | |||
for (size_t i = 0; i < inputs_size; ++i) { | |||
@@ -306,7 +314,7 @@ vector<void *> ModelUtils::GetInputDataAddrs(const RuntimeParam &model_param, Co | |||
GE_CHECK_NOTNULL_EXEC(op_desc, return v_input_data_addr); | |||
uint64_t session_id = model_param.session_id; | |||
const size_t inputs_size = op_desc->GetInputsSize(); | |||
const size_t inputs_size = op_desc->GetAllInputsSize(); | |||
const vector<int64_t> v_input_offset = op_desc->GetInputOffset(); | |||
const string op_type = op_desc->GetType(); | |||
@@ -320,20 +328,20 @@ vector<void *> ModelUtils::GetInputDataAddrs(const RuntimeParam &model_param, Co | |||
op_desc->GetName().c_str(), v_memory_type.size(), inputs_size); | |||
return v_input_data_addr; | |||
} | |||
for (size_t i = 0; i < inputs_size; ++i) { | |||
for (size_t i = 0; i < op_desc->GetAllInputsSize(); ++i) { | |||
const GeTensorDescPtr tensor_desc = op_desc->MutableInputDesc(static_cast<uint32_t>(i)); | |||
if (tensor_desc == nullptr) { | |||
GELOGD("Op: %s, Index: %zu, has no input", op_desc->GetName().c_str(), i); | |||
continue; | |||
} | |||
if ((i < v_is_input_const.size()) && v_is_input_const[i] && (op_type != NETOUTPUT)) { | |||
// TBE: add weights address to input | |||
const GeTensorDescPtr tensor_desc = op_desc->MutableInputDesc(i); | |||
if (tensor_desc == nullptr) { | |||
GELOGW("Op: %s, Index: %zu, Tensor Desc is null", op_desc->GetName().c_str(), i); | |||
continue; | |||
} | |||
int64_t tensor_size = 0; | |||
GE_CHK_STATUS(TensorUtils::GetSize(*tensor_desc, tensor_size)); | |||
if (tensor_size) { | |||
int64_t data_offset = 0; | |||
GE_CHK_STATUS(TensorUtils::GetDataOffset(*tensor_desc, data_offset)); | |||
VALIDATE_MEM_RANGE(op_desc, model_param.weight_size, data_offset); | |||
uint8_t *weight_addr = model_param.weight_base + data_offset; | |||
v_input_data_addr.push_back(weight_addr); | |||
GELOGI("[IMAS]GetInputDataAddrs graph_%u type[C] name[%s] input[%zu] memaddr[%p]", model_param.graph_id, | |||
@@ -345,11 +353,12 @@ vector<void *> ModelUtils::GetInputDataAddrs(const RuntimeParam &model_param, Co | |||
GE_IF_BOOL_EXEC(non_const_index >= v_input_offset.size(), | |||
GELOGW("offsets=%zu, inputs=%zu, index=%zu.", v_input_offset.size(), inputs_size, non_const_index); | |||
break;); | |||
break); | |||
int64_t input_offset = v_input_offset[non_const_index]; | |||
non_const_index++; | |||
GE_IF_BOOL_EXEC(model_param.var_size != 0 && ge::VarManager::Instance(session_id)->IsVarAddr(input_offset), | |||
VALIDATE_MEM_RANGE(op_desc, model_param.var_size, input_offset - model_param.logic_var_base); | |||
uint8_t *variable_addr = model_param.var_base + input_offset - model_param.logic_var_base; | |||
v_input_data_addr.push_back(variable_addr); | |||
GELOGI("[IMAS]GetInputDataAddrs graph_%u type[V] name[%s] input[%lu] memaddr[%p]", | |||
@@ -363,6 +372,7 @@ vector<void *> ModelUtils::GetInputDataAddrs(const RuntimeParam &model_param, Co | |||
mem_addr = reinterpret_cast<uint8_t *>(reinterpret_cast<intptr_t>(input_offset)); | |||
v_input_data_addr.push_back(mem_addr); | |||
} else { | |||
VALIDATE_MEM_RANGE(op_desc, model_param.mem_size, input_offset); | |||
mem_addr = model_param.mem_base + input_offset; | |||
v_input_data_addr.push_back(mem_addr); | |||
} | |||
@@ -398,6 +408,7 @@ vector<void *> ModelUtils::GetOutputDataAddrs(const RuntimeParam &model_param, C | |||
} | |||
for (size_t i = 0; i < outputs_size; ++i) { | |||
GE_IF_BOOL_EXEC(model_param.var_size != 0 && ge::VarManager::Instance(session_id)->IsVarAddr(v_output_offset[i]), | |||
VALIDATE_MEM_RANGE(op_desc, model_param.var_size, v_output_offset[i] - model_param.logic_var_base); | |||
uint8_t *variable_addr = model_param.var_base + v_output_offset[i] - model_param.logic_var_base; | |||
v_output_data_addr.push_back(variable_addr); | |||
GELOGI("[IMAS]GetOutputDataAddrs graph_%u type[V] name[%s] output[%zu] memaddr[%p]", | |||
@@ -410,6 +421,7 @@ vector<void *> ModelUtils::GetOutputDataAddrs(const RuntimeParam &model_param, C | |||
mem_addr = reinterpret_cast<uint8_t *>(reinterpret_cast<intptr_t>(v_output_offset[i])); | |||
v_output_data_addr.push_back(mem_addr); | |||
} else { | |||
VALIDATE_MEM_RANGE(op_desc, model_param.mem_size, v_output_offset[i]); | |||
mem_addr = static_cast<uint8_t *>(model_param.mem_base + v_output_offset[i]); | |||
v_output_data_addr.push_back(mem_addr); | |||
} | |||
@@ -440,15 +452,19 @@ vector<void *> ModelUtils::GetWorkspaceDataAddrs(const RuntimeParam &model_param | |||
for (size_t i = 0; i < v_workspace_bytes.size(); ++i) { | |||
if (has_mem_type_attr && v_memory_type[i] == RT_MEMORY_L1) { | |||
v_workspace_data_addr.push_back(reinterpret_cast<uint8_t *>(reinterpret_cast<intptr_t>(v_workspace_offset[i]))); | |||
GELOGI("Fusion: op: %s, GetWorkspaceDataAddrs mem_addr[workspace index %zu]:%p", op_desc->GetName().c_str(), i, | |||
reinterpret_cast<uint8_t *>(reinterpret_cast<intptr_t>(v_workspace_offset[i]))); | |||
GELOGI("[IMAS]GetWorkspaceDataAddrs graph_%u type[L1] name[%s], mem_addr[workspace index %zu]:0x%lx", | |||
model_param.graph_id, op_desc->GetName().c_str(), i, v_workspace_offset[i]); | |||
} else if (v_workspace_bytes[i] == 0) { | |||
v_workspace_data_addr.push_back(nullptr); | |||
GELOGI("[IMAS]GetWorkspaceDataAddrs graph_%u type[F] name[%s] workspace[%zu] offset[%ld] bytes[%ld] Null addr", | |||
model_param.graph_id, op_desc->GetName().c_str(), i, v_workspace_offset[i], v_workspace_bytes[i]); | |||
} else { | |||
int64_t workspace_offset = v_workspace_offset[i]; | |||
int64_t workspace_bytes = v_workspace_bytes[i]; | |||
uint8_t *mem_addr = workspace_bytes == 0 ? nullptr : model_param.mem_base + workspace_offset; | |||
VALIDATE_MEM_RANGE(op_desc, model_param.mem_size, v_workspace_offset[i]); | |||
uint8_t *mem_addr = model_param.mem_base + v_workspace_offset[i]; | |||
v_workspace_data_addr.push_back(mem_addr); | |||
GELOGI("[IMAS]GetWorkspaceDataAddrs graph_%u type[F] name[%s] workspace[%zu] offset[%ld] bytes[%ld] memaddr[%p]", | |||
model_param.graph_id, op_desc->GetName().c_str(), i, workspace_offset, workspace_bytes, mem_addr); | |||
model_param.graph_id, op_desc->GetName().c_str(), i, v_workspace_offset[i], v_workspace_bytes[i], | |||
mem_addr); | |||
} | |||
} | |||
@@ -26,6 +26,7 @@ | |||
#include "framework/common/l2_cache_optimize.h" | |||
#include "graph/debug/ge_attr_define.h" | |||
#include "graph/load/new_model_manager/davinci_model.h" | |||
#include "graph/load/new_model_manager/model_manager.h" | |||
#include "graph/load/new_model_manager/model_utils.h" | |||
#include "runtime/kernel.h" | |||
#include "super_kernel/super_kernel.h" | |||
@@ -41,13 +42,6 @@ const char *kIsLastNode = "is_last_node"; | |||
const char *kIsFirstNode = "is_first_node"; | |||
const int64_t kCloseSkt = 100; | |||
const uint32_t kAddrLen = sizeof(void *); | |||
const char *const kLoadOpFromBuf = "loadOpFromBuf"; | |||
struct CustAicpuSoBuf { | |||
uint64_t kernelSoBuf; | |||
uint32_t kernelSoBufLen; | |||
uint64_t kernelSoName; | |||
uint32_t kernelSoNameLen; | |||
} __attribute__((packed)); | |||
} // namespace | |||
namespace ge { | |||
@@ -861,92 +855,6 @@ Status KernelTaskInfo::InitCceTask(const domi::KernelDef &kernel_def) { | |||
return SUCCESS; | |||
} | |||
Status KernelTaskInfo::LaunchCustAicpuSo(const OpDescPtr op_desc, const domi::KernelDef &kernel_def) { | |||
CustAICPUKernelPtr aicpu_kernel = op_desc->TryGetExtAttr(OP_EXTATTR_CUSTAICPU_KERNEL, CustAICPUKernelPtr()); | |||
if (aicpu_kernel == nullptr) { | |||
GELOGE(INTERNAL_ERROR, "cust aicpu op %s can't find kernel!", op_desc->GetName().c_str()); | |||
return INTERNAL_ERROR; | |||
} | |||
const void *aicpu_data = aicpu_kernel->GetBinData(); | |||
uint32_t aicpu_data_length = aicpu_kernel->GetBinDataSize(); | |||
void *d_aicpu_data = nullptr; | |||
rtError_t status = rtMalloc(&d_aicpu_data, aicpu_data_length, RT_MEMORY_HBM); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt malloc failed, status: 0x%x", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
status = rtMemcpy(d_aicpu_data, aicpu_data_length, aicpu_data, aicpu_data_length, RT_MEMCPY_HOST_TO_DEVICE); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt memcpy failed, status: 0x%x", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
void *d_so_name = nullptr; | |||
status = rtMalloc(&d_so_name, so_name_.size(), RT_MEMORY_HBM); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt malloc failed, status: 0x%x", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
status = rtMemcpy(d_so_name, so_name_.size(), reinterpret_cast<const void *>(so_name_.c_str()), so_name_.size(), | |||
RT_MEMCPY_HOST_TO_DEVICE); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt memcpy failed, status: 0x%x", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
CustAicpuSoBuf cust_aicpu_so_buf; | |||
cust_aicpu_so_buf.kernelSoBuf = reinterpret_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_aicpu_data)); | |||
cust_aicpu_so_buf.kernelSoBufLen = aicpu_data_length; | |||
cust_aicpu_so_buf.kernelSoName = reinterpret_cast<uint64_t>(reinterpret_cast<uintptr_t>(d_so_name)); | |||
cust_aicpu_so_buf.kernelSoNameLen = so_name_.size(); | |||
void *args = nullptr; | |||
uint32_t args_size = sizeof(CustAicpuSoBuf); | |||
status = rtMalloc(&args, args_size, RT_MEMORY_HBM); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt malloc failed, status: 0x%x", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
GELOGI("loadOpFromBuf kernelSoBuf %p, kernelSoBufLen %u, kernelSoName %p, kernelSoNameLen %u.", d_aicpu_data, | |||
aicpu_data_length, d_so_name, so_name_.size()); | |||
status = rtMemcpy(args, args_size, static_cast<void *>(&cust_aicpu_so_buf), args_size, RT_MEMCPY_HOST_TO_DEVICE); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt memcpy failed, status: 0x%x", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
rtStream_t stream = nullptr; | |||
status = rtStreamCreate(&stream, 0); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt create stream failed, status: 0x%x", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
status = rtCpuKernelLaunch(nullptr, kLoadOpFromBuf, 1, args, args_size, nullptr, stream); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt CpuKernelLaunch loadOpFromBuf failed, status: 0x%X", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
GELOGI("Cpu kernel launch loadOpFromBuf."); | |||
status = rtStreamSynchronize(stream); | |||
if (status != RT_ERROR_NONE) { | |||
GELOGE(RT_FAILED, "Call rt stream sync failed, status: 0x%x", status); | |||
return RT_ERROR_TO_GE_STATUS(status); | |||
} | |||
GE_CHK_RT(rtFree(args)); | |||
GE_CHK_RT(rtFree(d_aicpu_data)); | |||
GE_CHK_RT(rtFree(d_so_name)); | |||
GELOGI("Cpu kernel launch loadOpFromBuf task success."); | |||
return SUCCESS; | |||
} | |||
Status KernelTaskInfo::InitAicpuTask(uint32_t op_index, const domi::KernelDef &kernel_def) { | |||
GELOGI("Do InitAicpuTask"); | |||
so_name_ = kernel_def.so_name(); | |||
@@ -961,7 +869,7 @@ Status KernelTaskInfo::InitAicpuTask(uint32_t op_index, const domi::KernelDef &k | |||
} | |||
if (kernel_type_ == cce::ccKernelType::CUST_AI_CPU) { | |||
GE_CHK_STATUS_RET(LaunchCustAicpuSo(op_desc, kernel_def), "launch cust aicpu so failed"); | |||
GE_CHK_STATUS_RET(ModelManager::GetInstance()->LoadCustAicpuSo(op_desc, so_name_), "launch cust aicpu so failed"); | |||
} | |||
// copy args to new host memory | |||
@@ -106,8 +106,6 @@ class KernelTaskInfo : public TaskInfo { | |||
Status InitAicpuTaskExtInfo(const std::string &ext_info); | |||
Status LaunchCustAicpuSo(const OpDescPtr op_desc, const domi::KernelDef &kernel_def); | |||
Status StoreInputOutputTensor(const std::vector<void *> &input_data_addrs, | |||
const std::vector<void *> &output_data_addrs, | |||
const std::vector<::tagCcAICPUTensor> &input_descs, | |||
@@ -118,13 +118,11 @@ bool ZeroCopyTask::CheckDynamicBatch(const map<string, set<uintptr_t>> &batch_ad | |||
*/ | |||
Status ZeroCopyTask::UpdateTaskParam(uintptr_t addr, void *buffer_addr, const map<string, set<uintptr_t>> &batch_addrs, | |||
const string &batch_label) { | |||
for (auto pair : task_addr_offset_) { | |||
if (pair.first != addr) { | |||
continue; | |||
} | |||
auto iter = task_addr_offset_.find(addr); | |||
if (iter != task_addr_offset_.end()) { | |||
auto &cur_pair = *iter; | |||
uint8_t *args_info = args_info_.data(); | |||
for (auto offset : pair.second) { | |||
for (auto offset : cur_pair.second) { | |||
if (!CheckDynamicBatch(batch_addrs, batch_label, reinterpret_cast<uintptr_t>(args_addr_ + offset))) { | |||
continue; | |||
} | |||
@@ -83,6 +83,10 @@ class ZeroCopyTask { | |||
*/ | |||
ge::Status DistributeParam(bool async_mode, rtStream_t stream); | |||
void SetBatchLabel(const string &batch_label) { batch_label_ = batch_label; } | |||
const string &GetBatchLabel() const { return batch_label_; } | |||
protected: | |||
bool CheckDynamicBatch(const map<string, set<uintptr_t>> &batch_addrs, const string &batch_label, uintptr_t addr); | |||
@@ -93,7 +97,7 @@ class ZeroCopyTask { | |||
const size_t args_size_; | |||
vector<uint8_t> args_info_; | |||
bool is_updated_; | |||
string batch_label_; | |||
// <address from Op, {offset in args}> | |||
map<uintptr_t, vector<size_t>> task_addr_offset_; | |||
}; | |||
@@ -267,6 +267,14 @@ Status GraphManager::AddGraph(const GraphId &graph_id, const Graph &graph, | |||
auto compute_graph = GraphUtils::GetComputeGraph(graph); | |||
if (compute_graph != nullptr) { | |||
compute_graph->SetGraphID(graph_id); | |||
bool graph_has_been_added = false; | |||
if (AttrUtils::GetBool(*compute_graph, ATTR_NAME_GRAPH_HAS_BEEN_ADDED, graph_has_been_added) && | |||
graph_has_been_added) { | |||
GELOGE(GE_GRAPH_GRAPH_ALREADY_EXIST, "[GraphManager] same graph object can not be added again, graph_id = %u.", | |||
graph_id); | |||
return GE_GRAPH_GRAPH_ALREADY_EXIST; | |||
} | |||
(void)AttrUtils::SetBool(*compute_graph, ATTR_NAME_GRAPH_HAS_BEEN_ADDED, true); | |||
} else { | |||
GELOGE(FAILED, "compute graph is null"); | |||
return FAILED; | |||
@@ -1953,9 +1961,9 @@ Status GraphManager::OptimizeStage1(ge::ComputeGraphPtr &compute_graph) { | |||
names_to_passes.emplace_back("MergePass", &merge_pass); | |||
names_to_passes.emplace_back("CastRemovePass", &cast_remove_pass); | |||
names_to_passes.emplace_back("TransposeTransDataPass", &transpose_transdata_pass); | |||
names_to_passes.emplace_back("ReshapeRemovePass", &reshape_remove_pass); | |||
names_to_passes.emplace_back("TransOpSymmetryEliminationPass", &symmetry_elimination_pass); | |||
names_to_passes.emplace_back("TransOpNearbyAllreduceFusionPass", &trans_op_nearby_allreduce_fusion_pass); | |||
names_to_passes.emplace_back("ReshapeRemovePass", &reshape_remove_pass); | |||
names_to_passes.emplace_back("DimensionComputePass", &dimension_compute_pass); | |||
names_to_passes.emplace_back("ConstantFoldingPass", &constant_folding_pass); | |||
names_to_passes.emplace_back("DimensionAdjustPass", &dimension_adjust_pass); | |||
@@ -2787,11 +2795,18 @@ Status GraphManager::SaveVariables(const Graph &graph, const std::vector<std::st | |||
GELOGE(FAILED, "Fetch var[%s] value failed.", var_name.c_str()); | |||
return FAILED; | |||
} else { | |||
auto var_tensor = var_results[var_name].GetTensorDesc(); | |||
var_tensor.SetName(var_name); | |||
var_results[var_name].SetTensorDesc(var_tensor); | |||
var_values.emplace_back(var_results[var_name]); | |||
} | |||
} | |||
} else { | |||
for (auto iter = var_results.begin(); iter != var_results.end(); ++iter) { | |||
string var_name = iter->first; | |||
auto var_tensor = iter->second.GetTensorDesc(); | |||
var_tensor.SetName(var_name); | |||
iter->second.SetTensorDesc(var_tensor); | |||
var_values.emplace_back(iter->second); | |||
} | |||
} | |||
@@ -491,7 +491,7 @@ Status SplitIdentityAlongAnchor(const OutDataAnchorPtr &out_data_anchor, const I | |||
if (input_rw_type == InputRWType::kScopeWriteable || input_rw_type == InputRWType::kWriteable) { | |||
auto new_identity = CreateIdentityAfterSrcNode(*pre_node, pre_out_data_anchor->GetIdx()); | |||
GE_CHECK_NOTNULL(new_identity); | |||
if (GraphUtils::AddEdge(pre_out_data_anchor, new_identity->GetInDataAnchor(kIdentityAnchorIndex)) != SUCCESS && | |||
if (GraphUtils::AddEdge(pre_out_data_anchor, new_identity->GetInDataAnchor(kIdentityAnchorIndex)) != SUCCESS || | |||
GraphUtils::AddEdge(new_identity->GetOutDataAnchor(kIdentityAnchorIndex), peer_in_data_anchor) != SUCCESS) { | |||
GELOGE(INTERNAL_ERROR, "Failed to insert Identity between node %s and %s", | |||
pre_out_data_anchor->GetOwnerNode()->GetName().c_str(), | |||
@@ -23,6 +23,7 @@ | |||
#include <mutex> | |||
#include "common/op/ge_op_utils.h" | |||
#include "common/util/error_manager/error_manager.h" | |||
#include "graph/utils/graph_utils.h" | |||
#include "graph/utils/op_desc_utils.h" | |||
#include "init/gelib.h" | |||
@@ -82,6 +83,8 @@ Status EnginePlacer::Run() { | |||
// If can't get op's engine name, keep check support finish and return failed | |||
if (engine_name.empty()) { | |||
is_check_support_success = false; | |||
ErrorManager::GetInstance().ATCReportErrMessage("E13003", {"opname", "optype"}, | |||
{op_desc->GetName(), op_desc->GetType()}); | |||
GELOGE(GE_CLI_GE_NOT_INITIALIZED, "Can not find engine of op type %s", | |||
node_ptr->GetOpDesc()->GetType().c_str()); | |||
continue; | |||
@@ -89,16 +89,13 @@ Status AttachStreamLabelPass::UpdateCondBranch(const NodePtr &node) { | |||
nodes.push(node); | |||
static const std::set<std::string> end_type_set = {STREAMSWITCH, STREAMMERGE, MERGE}; | |||
bool merge_flag = false; | |||
bool exit_flag = false; | |||
bool net_output_flag = false; | |||
while (!nodes.empty()) { | |||
NodePtr cur_node = nodes.top(); | |||
nodes.pop(); | |||
if (visited.count(cur_node) > 0) { | |||
continue; | |||
} | |||
if (AttachFlag(cur_node, stream_label, merge_flag, exit_flag, net_output_flag) != SUCCESS) { | |||
if (AttachFlag(cur_node, stream_label) != SUCCESS) { | |||
GELOGE(FAILED, "Attach flag for node %s failed.", cur_node->GetName().c_str()); | |||
return FAILED; | |||
} | |||
@@ -122,12 +119,6 @@ Status AttachStreamLabelPass::UpdateCondBranch(const NodePtr &node) { | |||
GE_CHK_STATUS_RET(SetActiveLabelList(node, {stream_label}), "set active_label_list failed."); | |||
} | |||
bool attach_flag = (merge_flag || exit_flag) && net_output_flag; | |||
if (attach_flag) { | |||
GELOGI("No need to keep on attaching label."); | |||
return SUCCESS; | |||
} | |||
for (const NodePtr &tmp_node : branch_nodes) { | |||
GELOGD("Attach label %s to node: %s.", stream_label.c_str(), tmp_node->GetName().c_str()); | |||
GE_CHK_STATUS_RET(SetStreamLabel(tmp_node, stream_label), "Set stream label failed."); | |||
@@ -140,13 +131,9 @@ Status AttachStreamLabelPass::UpdateCondBranch(const NodePtr &node) { | |||
/// @brief attach flag | |||
/// @param [in] node | |||
/// @param [out] stream_label | |||
/// @param [out] merge_flag | |||
/// @param [out] exit_flag | |||
/// @param [out] net_output_flag | |||
/// @return Status | |||
/// | |||
Status AttachStreamLabelPass::AttachFlag(const NodePtr &node, std::string &stream_label, bool &merge_flag, | |||
bool &exit_flag, bool &net_output_flag) { | |||
Status AttachStreamLabelPass::AttachFlag(const NodePtr &node, std::string &stream_label) { | |||
const std::string &type = node->GetType(); | |||
if (type == STREAMSWITCH) { | |||
if (node->GetInDataNodes().empty()) { | |||
@@ -164,12 +151,8 @@ Status AttachStreamLabelPass::AttachFlag(const NodePtr &node, std::string &strea | |||
} else if (type == STREAMMERGE) { | |||
stream_label = node->GetName(); | |||
GE_CHK_STATUS_RET(SetStreamLabel(node, stream_label), "Set stream label failed."); | |||
merge_flag = true; | |||
} else if ((type == EXIT) || (type == REFEXIT)) { | |||
GE_CHK_STATUS_RET(SetStreamLabel(node, stream_label), "Set stream label failed."); | |||
exit_flag = true; | |||
} else if (type == NETOUTPUT) { | |||
net_output_flag = true; | |||
} | |||
return SUCCESS; | |||
@@ -50,13 +50,9 @@ class AttachStreamLabelPass : public GraphPass { | |||
/// @brief attach flag | |||
/// @param [in] node | |||
/// @param [out] stream_label | |||
/// @param [out] merge_flag | |||
/// @param [out] exit_flag | |||
/// @param [out] net_output_flag | |||
/// @return Status | |||
/// | |||
static Status AttachFlag(const NodePtr &node, std::string &stream_label, bool &merge_flag, bool &exit_flag, | |||
bool &net_output_flag); | |||
static Status AttachFlag(const NodePtr &node, std::string &stream_label); | |||
/// | |||
/// @brief Update stream_label for loop_branch | |||
@@ -20,13 +20,14 @@ | |||
#include "framework/common/debug/log.h" | |||
#include "graph/utils/graph_utils.h" | |||
namespace { | |||
const size_t kOutNodesNum = 1; | |||
} | |||
namespace ge { | |||
Status EnterPass::Run(NodePtr &node) { | |||
GELOGD("EnterPass running"); | |||
if (node == nullptr) { | |||
GELOGE(PARAM_INVALID, "param [node] must not be null."); | |||
return PARAM_INVALID; | |||
} | |||
GE_CHECK_NOTNULL(node); | |||
if ((node->GetType() != ENTER) && (node->GetType() != REFENTER)) { | |||
return SUCCESS; | |||
@@ -38,18 +39,17 @@ Status EnterPass::Run(NodePtr &node) { | |||
return PARAM_INVALID; | |||
} | |||
NodePtr in_node = node->GetInDataNodes().at(0); | |||
if (in_node == nullptr) { | |||
GELOGE(PARAM_INVALID, "param [in_node] must not be null"); | |||
return PARAM_INVALID; | |||
} | |||
GE_CHECK_NOTNULL(in_node); | |||
if ((in_node->GetType() != CONSTANT) && (in_node->GetType() != CONSTANTOP)) { | |||
return SUCCESS; | |||
} | |||
bool need_remove_flag = | |||
in_node->GetInControlNodes().empty() && node->GetInControlNodes().empty() && node->GetOutDataNodes().empty(); | |||
if (need_remove_flag) { | |||
bool need_remove_flag = in_node->GetInControlNodes().empty() && node->GetInControlNodes().empty(); | |||
if (!need_remove_flag) { | |||
return SUCCESS; | |||
} | |||
if (node->GetOutDataNodes().empty()) { | |||
for (auto &out_ctrl_node : node->GetOutControlNodes()) { | |||
if (out_ctrl_node == nullptr) { | |||
continue; | |||
@@ -60,9 +60,47 @@ Status EnterPass::Run(NodePtr &node) { | |||
return FAILED; | |||
} | |||
} | |||
} else { | |||
if (OptimizeEnter(node, in_node) != SUCCESS) { | |||
GELOGE(FAILED, "Optimize enter node[%s] failed.", node->GetName().c_str()); | |||
return FAILED; | |||
} | |||
} | |||
GELOGD("EnterPass success"); | |||
return SUCCESS; | |||
} | |||
Status EnterPass::OptimizeEnter(NodePtr &node, NodePtr &in_node) { | |||
auto out_nodes_of_in_node = in_node->GetOutAllNodes(); | |||
if (out_nodes_of_in_node.size() != kOutNodesNum) { | |||
return SUCCESS; | |||
} | |||
if (!node->GetOutControlNodes().empty()) { | |||
return SUCCESS; | |||
} | |||
for (const auto &out_node : node->GetOutDataNodes()) { | |||
GE_CHECK_NOTNULL(out_node); | |||
if (out_node->GetType() == MERGE) { | |||
return SUCCESS; | |||
} | |||
} | |||
GE_CHECK_NOTNULL(in_node->GetOutDataAnchor(0)); | |||
GE_CHK_STATUS_RET(in_node->GetOutDataAnchor(0)->Unlink(node->GetInDataAnchor(0))); | |||
auto out_data_anchor = node->GetOutDataAnchor(0); | |||
GE_CHECK_NOTNULL(out_data_anchor); | |||
for (auto peer_in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) { | |||
GE_CHK_STATUS_RET(out_data_anchor->Unlink(peer_in_data_anchor)); | |||
GE_CHK_STATUS_RET(in_node->GetOutDataAnchor(0)->LinkTo(peer_in_data_anchor)); | |||
} | |||
auto graph = node->GetOwnerComputeGraph(); | |||
GE_CHK_STATUS_RET(GraphUtils::RemoveNodeWithoutRelink(graph, node)) | |||
AddRePassNodesWithInOut(in_node); | |||
return SUCCESS; | |||
} | |||
} // namespace ge |
@@ -23,6 +23,9 @@ namespace ge { | |||
class EnterPass : public BaseNodePass { | |||
public: | |||
Status Run(NodePtr &node) override; | |||
private: | |||
Status OptimizeEnter(NodePtr &node, NodePtr &in_node); | |||
}; | |||
} // namespace ge | |||
#endif // GE_GRAPH_PASSES_ENTER_PASS_H_ |
@@ -190,6 +190,10 @@ Status ForPass::FindInputsAndOutputs(const NodePtr &node, std::vector<OutDataAnc | |||
GELOGE(FAILED, "FindInputWithIndex %s:%u failed: in_data_anchor is NULL.", node->GetName().c_str(), index); | |||
return FAILED; | |||
} | |||
GE_IF_BOOL_EXEC( | |||
in_data_anchor->GetPeerOutAnchor() == nullptr, | |||
GELOGW("Get null input by index %d from node %s ", in_data_anchor->GetIdx(), node->GetName().c_str()); | |||
continue); | |||
data_inputs.emplace_back(in_data_anchor->GetPeerOutAnchor()); | |||
} | |||
@@ -239,7 +239,7 @@ Status MultiBatchClonePass::CreateIndexConstNode(const ComputeGraphPtr &graph, N | |||
GeTensorDesc const_tensor(GeShape({count}), FORMAT_ND, DT_INT32); | |||
GeTensor tensor(const_tensor); | |||
tensor.SetData(reinterpret_cast<uint8_t *>(addr.get()), count * sizeof(int32_t)); | |||
(void)tensor.SetData(reinterpret_cast<uint8_t *>(addr.get()), count * sizeof(int32_t)); | |||
if (!AttrUtils::SetTensor(const_desc, ATTR_NAME_WEIGHTS, tensor)) { | |||
GELOGE(OUT_OF_MEMORY, "Failed to init tensor value for const %s", const_desc->GetName().c_str()); | |||
return FAILED; | |||
@@ -50,9 +50,12 @@ Status InsertReshapeIfNeed(const NodePtr &node) { | |||
GE_CHECK_NOTNULL(src_tensor); | |||
for (auto dst_anchor : src_anchor->GetPeerInDataAnchors()) { | |||
auto dst_node = dst_anchor->GetOwnerNode(); | |||
GELOGD("Try insert reshape between %s[%d] and %s[%d] to keep the shape continues", node->GetName().c_str(), | |||
src_anchor->GetIdx(), dst_node->GetName().c_str(), dst_anchor->GetIdx()); | |||
GE_CHECK_NOTNULL(dst_node); | |||
GE_CHECK_NOTNULL(dst_node->GetOpDesc()); | |||
auto dst_tensor = dst_node->GetOpDesc()->GetInputDescPtr(dst_anchor->GetIdx()); | |||
GE_CHECK_NOTNULL(dst_tensor); | |||
bool is_need_insert_reshape = src_tensor->GetShape().GetDims() != UNKNOWN_RANK && | |||
dst_tensor->GetShape().GetDims() != UNKNOWN_RANK && | |||
src_tensor->GetShape().GetDims() != dst_tensor->GetShape().GetDims(); | |||
@@ -176,6 +176,9 @@ Status SubgraphPass::WhileInputNodes(const ComputeGraphPtr &graph, const NodePtr | |||
GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue); | |||
NodePtr in_node = peer_out_anchor->GetOwnerNode(); | |||
GE_CHECK_NOTNULL(in_node); | |||
if (in_node->GetType() == VARIABLE || in_node->GetType() == VARHANDLEOP || in_node->GetType() == VARIABLEV2) { | |||
continue; | |||
} | |||
// Input->While and Input link to other nodes need insert memcpy | |||
if (peer_out_anchor->GetPeerInDataAnchors().size() > 1) { | |||
GELOGD("Input %s of While %s links to other nodes.", in_node->GetName().c_str(), node->GetName().c_str()); | |||
@@ -124,7 +124,14 @@ Status GetDataDimN(const ge::NodePtr &data_node, ge::Format format, int64_t &bat | |||
return PARAM_INVALID; | |||
} | |||
} | |||
GELOGE(PARAM_INVALID, "when dynamic aipp, shape must be in range [3, 4], but is %zu", shape.size()); | |||
string errormsg = | |||
"its shape size must be in range[3,4] which dynamic aipp is linked, " | |||
"maybe this input is not suitable for dynamic aipp"; | |||
ErrorManager::GetInstance().ATCReportErrMessage( | |||
"E10001", {"parameter", "value", "reason"}, | |||
{data_node->GetName() + " shape size", to_string(shape.size()), errormsg}); | |||
GELOGE(PARAM_INVALID, "The shape size of this node [%s] which linked dynamic aipp must be in range[3, 4], but is %zu", | |||
data_node->GetName().c_str(), shape.size()); | |||
return PARAM_INVALID; | |||
} | |||
@@ -272,7 +279,6 @@ Status AippOp::AddAippAttrbutes(const OpDescPtr &op_desc, const std::string &aip | |||
GE_CHK_BOOL_RET_STATUS(AttrUtils::SetInt(op_desc, kCurrentAippIndex, index), INTERNAL_ERROR, | |||
"Set kCurrentAippIndex attr for aipp node failed"); | |||
// add input/output desc | |||
GeTensorDesc tensor; | |||
GE_CHK_GRAPH_STATUS_RET(op_desc->AddInputDesc("images", tensor), "Failed to add input images for aipp node"); | |||
@@ -318,6 +324,7 @@ Status AippOp::GetAndCheckTarget(const ComputeGraphPtr &graph, int rank, NodePtr | |||
GELOGE(PARAM_INVALID, "Get target input node for rank %d failed", rank); | |||
return PARAM_INVALID; | |||
} | |||
data_node_linked_aipp = data_node; | |||
auto data_opdesc = data_node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(data_opdesc); | |||
string set_dt_str; | |||
@@ -330,10 +337,17 @@ Status AippOp::GetAndCheckTarget(const ComputeGraphPtr &graph, int rank, NodePtr | |||
return PARAM_INVALID; | |||
} | |||
// add dynamic or static attr memsage to data | |||
if (GetAippMode() == domi::AippOpParams::static_) { | |||
(void)AttrUtils::SetStr(data_opdesc, ATTR_DATA_RELATED_AIPP_MODE, "static_aipp"); | |||
} else if (GetAippMode() == domi::AippOpParams::dynamic) { | |||
(void)AttrUtils::SetStr(data_opdesc, ATTR_DATA_RELATED_AIPP_MODE, "dynamic_aipp"); | |||
} | |||
// In scenario AIPP+CONV2D+POOLING, keep the aipp info to Data, since AIPP disappear after subgraph optimize | |||
GeAttrValue::NAMED_ATTRS aipp_attr; | |||
ConvertParamToAttr(aipp_attr); | |||
if (!AttrUtils::SetNamedAttrs(data_node->GetOpDesc(), ATTR_NAME_AIPP, aipp_attr)) { | |||
if (!AttrUtils::SetNamedAttrs(data_opdesc, ATTR_NAME_AIPP, aipp_attr)) { | |||
GELOGE(INTERNAL_ERROR, "Set name attrs for Data node failed. id: %d", rank); | |||
return INTERNAL_ERROR; | |||
} | |||
@@ -737,7 +751,7 @@ Status AippOp::CreateAippData(const NodePtr &aipp_node) { | |||
data_shape_n = data_op_desc->MutableInputDesc(0)->GetShape().GetDim(0); | |||
} | |||
vector<int64_t> dynamic_aipp_linked_data_shape{data_shape_n, kDynamicDim, kDynamicDim, kDynamicDim}; | |||
(void)AttrUtils::SetListInt(data_op_desc, "_dynamic_aipp_input_dims", dynamic_aipp_linked_data_shape); | |||
(void)AttrUtils::SetListInt(data_op_desc, ATTR_DYNAMIC_AIPP_INPUT_DIMS, dynamic_aipp_linked_data_shape); | |||
int64_t batch_count = -1; | |||
if (GetDataDimN(data_node, ori_data_format, batch_count) != ge::SUCCESS) { | |||
@@ -759,7 +773,24 @@ Status AippOp::CreateAippData(const NodePtr &aipp_node) { | |||
return AddNodeToGraph(aipp_node, max_dynamic_aipp_size); | |||
} | |||
Status AippOp::AddAttrToAippData(const OpDescPtr &aipp_data_op_desc) { | |||
// Add dynamic aipp config to aipp_data | |||
GeAttrValue::NAMED_ATTRS aipp_attr; | |||
ConvertParamToAttr(aipp_attr); | |||
(void)AttrUtils::SetNamedAttrs(aipp_data_op_desc, ATTR_NAME_AIPP, aipp_attr); | |||
(void)AttrUtils::SetStr(aipp_data_op_desc, ATTR_DATA_RELATED_AIPP_MODE, "dynamic_aipp_conf"); | |||
// add node name attr to data linked aipp_data, it can be queried by acl. | |||
GE_CHECK_NOTNULL(data_node_linked_aipp); | |||
auto data_op_desc = data_node_linked_aipp->GetOpDesc(); | |||
GE_CHECK_NOTNULL(data_op_desc); | |||
(void)AttrUtils::SetStr(data_op_desc, ATTR_DATA_AIPP_DATA_NAME_MAP, aipp_data_op_desc->GetName()); | |||
(void)AttrUtils::SetStr(aipp_data_op_desc, ATTR_DATA_AIPP_DATA_NAME_MAP, data_op_desc->GetName()); | |||
return SUCCESS; | |||
} | |||
Status AippOp::AddNodeToGraph(const NodePtr &aipp_node, int64_t max_dynamic_aipp_size) { | |||
static int index = 0; | |||
std::vector<int64_t> input_shape_dim(1, max_dynamic_aipp_size); | |||
GeShape input_shape(input_shape_dim); | |||
// construct input tensor | |||
@@ -767,18 +798,21 @@ Status AippOp::AddNodeToGraph(const NodePtr &aipp_node, int64_t max_dynamic_aipp | |||
TensorUtils::SetReuseInput(input_tensor, false); | |||
TensorUtils::SetSize(input_tensor, max_dynamic_aipp_size); | |||
// Only flush subgraph name | |||
const ComputeGraphPtr &graph = aipp_node->GetOwnerComputeGraph(); | |||
string node_name = (graph->GetParentGraph() == nullptr) ? kDynamicAippData : (graph->GetName() + "_" + node_name); | |||
string node_name; | |||
if (index == 0) { | |||
node_name = kDynamicAippData; | |||
} else { | |||
node_name = string(kDynamicAippData) + "_" + to_string(index); | |||
} | |||
++index; | |||
// new add aipp_data ops for dynamic aipp param input | |||
OpDescPtr op_desc_ptr_data = MakeShared<OpDesc>(node_name, AIPPDATA); | |||
GE_CHECK_NOTNULL(op_desc_ptr_data); | |||
// Add dynamic aipp config to aipp_data | |||
GeAttrValue::NAMED_ATTRS aipp_attr; | |||
ConvertParamToAttr(aipp_attr); | |||
(void)AttrUtils::SetNamedAttrs(op_desc_ptr_data, ATTR_NAME_AIPP, aipp_attr); | |||
if (AddAttrToAippData(op_desc_ptr_data) != SUCCESS) { | |||
return INTERNAL_ERROR; | |||
} | |||
auto stat1 = op_desc_ptr_data->AddInputDesc(input_tensor); | |||
@@ -78,9 +78,11 @@ class AippOp : public InsertOpBase { | |||
Status CreateAippData(const NodePtr &aipp); | |||
Status AddNodeToGraph(const NodePtr &aipp_node, int64_t max_dynamic_aipp_size); | |||
Status AddAippAttrbutes(const OpDescPtr &op_desc, const std::string &aipp_cfg_path, const uint32_t &index); | |||
Status AddAttrToAippData(const OpDescPtr &aipp_data_op_desc); | |||
domi::AippOpParams *aipp_params_ = nullptr; | |||
ge::NodePtr aipp_node_ = nullptr; | |||
ge::NodePtr data_node_linked_aipp = nullptr; | |||
}; | |||
} // namespace ge | |||
@@ -22,6 +22,7 @@ | |||
#include "common/ge/ge_util.h" | |||
#include "common/op/ge_op_utils.h" | |||
#include "common/util.h" | |||
#include "common/util/error_manager/error_manager.h" | |||
#include "framework/common/debug/ge_log.h" | |||
#include "framework/common/debug/log.h" | |||
#include "framework/common/ge_inner_error_codes.h" | |||
@@ -120,15 +121,15 @@ Status InsertNewOpUtil::CheckPositionNotRepeat() { | |||
for (int j = i + 1; j < insert_op_conf_->aipp_op_size(); j++) { | |||
const domi::AippOpParams *another_item = insert_op_conf_->mutable_aipp_op(j); | |||
GE_IF_BOOL_EXEC(item->related_input_rank() != another_item->related_input_rank(), continue;); | |||
GE_IF_BOOL_EXEC( | |||
item->input_edge_idx_size() == 0 || another_item->input_edge_idx_size() == 0 || | |||
item->input_edge_idx(0) == another_item->input_edge_idx(0), | |||
GELOGE(PARAM_INVALID, | |||
"Can not insert aipp op to the same postion! please check related_input_rank and input_edge_idx."); | |||
return PARAM_INVALID;); | |||
GE_IF_BOOL_EXEC(item->related_input_rank() == another_item->related_input_rank(), | |||
string errormsg = | |||
"Can not insert aipp to the same postion! Please ensure related_input_rank" | |||
" param is different in different aipp config."; | |||
ErrorManager::GetInstance().ATCReportErrMessage("E10043", {"reason"}, {errormsg}); | |||
GELOGE(PARAM_INVALID, | |||
"Can not insert aipp op to the same postion! Please ensure related_input_rank param " | |||
"is different in different aipp config."); | |||
return PARAM_INVALID;); | |||
} | |||
} | |||
@@ -162,18 +163,12 @@ Status InsertNewOpUtil::CheckGraph(const ComputeGraphPtr &graph) { | |||
std::unique_ptr<domi::AippOpParams> aippParams(new (std::nothrow) domi::AippOpParams()); | |||
GE_CHECK_NOTNULL(aippParams); | |||
GE_IF_BOOL_EXEC(aippNodes.size() > 0, GE_CHK_STATUS(GetAippParams(aippParams, aippNodes[0])); | |||
aippMode = (aippMode == domi::AippOpParams::undefined) ? aippParams->aipp_mode() : aippMode; | |||
GE_CHK_BOOL_RET_STATUS(aippMode == aippParams->aipp_mode(), PARAM_INVALID, | |||
"The aipp_mode of all aipp_op must be the same");); | |||
GE_IF_BOOL_EXEC( | |||
aippNodes.size() > 1, for (decltype(aippNodes)::size_type i = 1; i < aippNodes.size(); i++) { | |||
std::unique_ptr<domi::AippOpParams> currAippParam(new (std::nothrow) domi::AippOpParams()); | |||
GE_CHECK_NOTNULL(currAippParam); | |||
GE_CHK_STATUS(GetAippParams(currAippParam, aippNodes[i])); | |||
GE_CHK_BOOL_RET_STATUS(aippMode == currAippParam->aipp_mode(), PARAM_INVALID, | |||
"The aipp_mode of all aipp_op must be the same"); | |||
if (aippMode == domi::AippOpParams::static_) { | |||
GE_CHK_BOOL_RET_STATUS(aippParams->input_format() == currAippParam->input_format(), PARAM_INVALID, | |||
"The input_format of all aipp_ops after one Data should be the same"); | |||
@@ -113,10 +113,9 @@ NodePtr InsertCopyNode(const NodePtr &node, size_t n) { | |||
desc->CopyAttrsFrom(*src_op_desc); | |||
for (uint32_t i = 0; i < node->GetAllInDataAnchorsSize(); ++i) { | |||
auto input_desc = desc->MutableInputDesc(i); | |||
GE_IF_BOOL_EXEC(input_desc == nullptr, | |||
GELOGE(INTERNAL_ERROR, "Failed to get input desc by index %u from node %s when copy from %s", i, | |||
desc->GetName().c_str(), node->GetName().c_str()); | |||
return nullptr); | |||
GE_IF_BOOL_EXEC(input_desc == nullptr, GELOGW("Get null input desc by index %u from node %s when copy from %s", i, | |||
desc->GetName().c_str(), node->GetName().c_str()); | |||
continue); | |||
input_desc->CopyAttrsFrom(src_op_desc->GetInputDesc(i)); | |||
} | |||
@@ -991,12 +990,17 @@ Status MultiBatchGraphCopyer::InsertIdentityAfterSwitchN() { | |||
size_t i = 0; | |||
for (auto &out_data_anchor : node->GetAllOutDataAnchors()) { | |||
for (auto &in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) { | |||
auto identity_desc = MakeShared<OpDesc>(node->GetName() + "_identity_" + std::to_string(i), IDENTITY); | |||
GE_CHECK_NOTNULL(identity_desc); | |||
auto out_node = in_data_anchor->GetOwnerNode(); | |||
auto op_desc = out_node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(op_desc); | |||
if ((out_node->GetType() == MERGE) && (op_desc->HasAttr(ATTR_INSERT_BY_MBATCH))) { | |||
GELOGD("No need to insert identity between %s and %s.", node->GetName().c_str(), out_node->GetName().c_str()); | |||
continue; | |||
} | |||
auto identity_desc = MakeShared<OpDesc>(node->GetName() + "_identity_" + std::to_string(i), IDENTITY); | |||
GE_CHECK_NOTNULL(identity_desc); | |||
string batch_label; | |||
if (AttrUtils::GetStr(op_desc, ATTR_NAME_BATCH_LABEL, batch_label)) { | |||
if (!AttrUtils::SetStr(identity_desc, ATTR_NAME_BATCH_LABEL, batch_label)) { | |||
@@ -1159,7 +1163,7 @@ void GetDynamicShapeByMerge(const ComputeGraphPtr &graph, const NodePtr &node, s | |||
} | |||
} | |||
// Connect NetOutput directly: DTS2020070612498 | |||
// Connect NetOutput directly | |||
void GetDirectOutputShape(const ComputeGraphPtr &graph, const NodePtr &node, const set<size_t> &dynamic_output_index, | |||
vector<string> &dynamic_output_dims) { | |||
GELOGD("Try get directly shape info, Graph: %s, Node: %s", graph->GetName().c_str(), node->GetName().c_str()); | |||
@@ -40,7 +40,7 @@ include ${BUILD_HOST_SHARED_LIBRARY} | |||
include $(CLEAR_VARS) | |||
LOCAL_MODULE := atclib/libhost_cpu_engine | |||
LOCAL_CFLAGS += -Werror | |||
LOCAL_CFLAGS += -std=c++11 | |||
LOCAL_CFLAGS += -std=c++11 -DCOMPILE_OMG_PACKAGE | |||
LOCAL_LDFLAGS := | |||
LOCAL_STATIC_LIBRARIES := | |||
@@ -16,131 +16,262 @@ | |||
#include "host_kernels/strided_slice_kernel.h" | |||
#include <memory> | |||
#include "common/fp16_t.h" | |||
#include "common/ge_inner_error_codes.h" | |||
#include "common/math/math_util.h" | |||
#include "common/op/ge_op_utils.h" | |||
#include "external/graph/types.h" | |||
#include "framework/common/debug/ge_log.h" | |||
#include "host_kernels/kernel_utils.h" | |||
#include "graph/utils/type_utils.h" | |||
#include "host_kernels/kernel_utils.h" | |||
#include "inc/kernel_factory.h" | |||
#include <memory> | |||
namespace ge { | |||
namespace { | |||
const int32_t kNumOne = 1; | |||
const size_t kStridedSliceInputSize = 4; | |||
const size_t kStridedSliceInputIndex0 = 0; | |||
const size_t kStridedSliceInputIndex1 = 1; | |||
const size_t kStridedSliceInputIndex2 = 2; | |||
const size_t kStridedSliceInputIndex3 = 3; | |||
const int32_t kDefaultSrideSize = 1; | |||
} // namespace | |||
Status StridedSliceKernel::CheckAndGetAttr(const OpDescPtr &attr, const std::vector<ConstGeTensorPtr> &input, | |||
Attr &args) { | |||
int64_t begin_mask = 0; | |||
int64_t end_mask = 0; | |||
int64_t ellipsis_mask = 0; | |||
int64_t new_axis_mask = 0; | |||
int64_t shrink_axis_mask = 0; | |||
const size_t kStridedSliceInputIndex = 0; | |||
const size_t kStridedSliceBeginIndex = 1; | |||
const size_t kStridedSliceEndIndex = 2; | |||
const size_t kStridedSliceStrideIndex = 3; | |||
const int32_t kDefaultStrideSize = 1; | |||
const std::set<DataType> kIndexNumberType = {DT_INT32, DT_INT64}; | |||
if (attr == nullptr) { | |||
GELOGW("input opdescptr is nullptr."); | |||
return PARAM_INVALID; | |||
bool IsEllipsisMaskValid(const GeTensorDescPtr &input_desc, const int ellipsis_mask) { | |||
if (ellipsis_mask != 0) { | |||
auto ellipsis_num = 0; | |||
auto input_shape = input_desc->GetShape(); | |||
bool ellipsis_mask_flag = false; | |||
for (size_t i = 0; i < input_shape.GetDimNum(); i++) { | |||
uint32_t i_temp = static_cast<uint32_t>(i); | |||
ellipsis_mask_flag = (static_cast<uint32_t>(ellipsis_mask) & (1 << i_temp)); | |||
if (ellipsis_mask_flag) { | |||
++ellipsis_num; | |||
} | |||
if (ellipsis_num > 1) { | |||
GELOGW("Only one non-zero bit is allowed in ellipsis_mask."); | |||
return false; | |||
} | |||
} | |||
} | |||
if (input.size() != kStridedSliceInputSize) { | |||
GELOGW("The number of input for strided slice must be %zu.", kStridedSliceInputSize); | |||
return PARAM_INVALID; | |||
return true; | |||
} | |||
} // namespace | |||
Status StridedSliceKernel::Compute(const ge::OpDescPtr attr, const std::vector<ge::ConstGeTensorPtr> &input, | |||
vector<ge::GeTensorPtr> &v_output) { | |||
GELOGD("StridedSliceKernel in."); | |||
// 1.Check input and attrs | |||
if (CheckAndGetAttr(attr) != SUCCESS) { | |||
GELOGW("Check and get attrs failed.Ignore kernel."); | |||
return NOT_CHANGED; | |||
} | |||
if (!AttrUtils::GetInt(attr, STRIDE_SLICE_ATTR_BEGIN_MASK, begin_mask)) { | |||
GELOGW("get begin_mask attr failed."); | |||
return PARAM_INVALID; | |||
if (CheckInputParam(input) != SUCCESS) { | |||
GELOGW("Check input params failed.Ignore kernel."); | |||
return NOT_CHANGED; | |||
} | |||
if (!AttrUtils::GetInt(attr, STRIDE_SLICE_ATTR_END_MASK, end_mask)) { | |||
GELOGW("get end_mask attr failed."); | |||
return PARAM_INVALID; | |||
// 2.Init param with mask attrs. | |||
std::vector<int64_t> input_dims; | |||
std::vector<int64_t> begin_vec; | |||
std::vector<int64_t> output_dims; | |||
std::vector<int64_t> stride_vec; | |||
if (InitParamWithAttrs(input, input_dims, begin_vec, output_dims, stride_vec) != SUCCESS) { | |||
GELOGW("Init param with mask attrs failed.Ignore kernel."); | |||
return NOT_CHANGED; | |||
} | |||
if (!AttrUtils::GetInt(attr, STRIDE_SLICE_ATTR_ELLIPSIS_MASK, ellipsis_mask)) { | |||
GELOGW("get ellipsis_mask attr failed."); | |||
return PARAM_INVALID; | |||
// 3.Set sliced data to output_ptr | |||
ConstGeTensorPtr weight0 = input[kStridedSliceInputIndex]; | |||
auto data_type = weight0->GetTensorDesc().GetDataType(); | |||
size_t data_size = weight0->GetData().size() / GetSizeByDataType(data_type); | |||
void *data = reinterpret_cast<void *>(const_cast<uint8_t *>(weight0->GetData().data())); | |||
GE_CHECK_NOTNULL(data); | |||
// Index 0 can always gets a GeTensorDesc object from any OpDescPtr. | |||
auto output_tensor_desc = attr->GetOutputDesc(0); | |||
GeTensorPtr output_ptr = MakeShared<GeTensor>(output_tensor_desc); | |||
if (output_ptr == nullptr) { | |||
GELOGE(MEMALLOC_FAILED, "MakeShared GeTensor failed, node name %s.", attr->GetName().c_str()); | |||
return NOT_CHANGED; | |||
} | |||
if (!AttrUtils::GetInt(attr, STRIDE_SLICE_ATTR_NEW_AXIS_MASK, new_axis_mask)) { | |||
GELOGW("get new_axis_mask attr failed."); | |||
return PARAM_INVALID; | |||
auto ret = OpUtils::SetOutputSliceData(data, static_cast<int64_t>(data_size), data_type, input_dims, begin_vec, | |||
output_dims, output_ptr.get(), stride_vec); | |||
if (ret != SUCCESS) { | |||
GELOGE(INTERNAL_ERROR, "SetOutputSliceData failed."); | |||
return NOT_CHANGED; | |||
} | |||
if (!AttrUtils::GetInt(attr, STRIDE_SLICE_ATTR_SHRINK_AXIS_MASK, shrink_axis_mask)) { | |||
GELOGW("get shrink_axis_mask attr failed."); | |||
// 4.Set output data_type and shape | |||
GeTensorDesc &t_d = output_ptr->MutableTensorDesc(); | |||
t_d.SetDataType(static_cast<DataType>(data_type)); | |||
auto final_dim_size = static_cast<uint32_t>(output_dims.size()); | |||
vector<int64_t> v_dims; | |||
GetOutputDims(final_dim_size, output_dims, v_dims); | |||
t_d.SetShape(GeShape(v_dims)); | |||
v_output.push_back(output_ptr); | |||
GELOGI("StridedSliceKernel success."); | |||
return SUCCESS; | |||
} | |||
Status StridedSliceKernel::CheckAndGetAttr(const OpDescPtr &attr) { | |||
if (attr == nullptr) { | |||
GELOGE(PARAM_INVALID, "input opdescptr is nullptr."); | |||
return PARAM_INVALID; | |||
} | |||
if ((ellipsis_mask != 0) || (new_axis_mask != 0)) { | |||
GELOGW("ellipsis_mask or new_axis_mask must be 0 with optimizer."); | |||
return NOT_CHANGED; | |||
// Get all op attr value of strided_slice | |||
for (auto &attr_2_value : attr_value_map_) { | |||
if (!AttrUtils::GetInt(attr, attr_2_value.first, attr_2_value.second)) { | |||
GELOGE(PARAM_INVALID, "Get %s attr failed.", attr_2_value.first.c_str()); | |||
return PARAM_INVALID; | |||
} | |||
} | |||
const auto &input_desc = attr->MutableInputDesc(kStridedSliceInputIndex0); | |||
// Check ellipsis_mask is valid | |||
const auto &input_desc = attr->MutableInputDesc(kStridedSliceInputIndex); | |||
GE_CHECK_NOTNULL(input_desc); | |||
DataType data_type = input_desc->GetDataType(); | |||
if ((data_type != DT_FLOAT) && (data_type != DT_INT32)) { | |||
GELOGW( | |||
"Data type of StridedSlice OP must be float or int32." | |||
"Constant folding will not be carried out in this condition" | |||
"which might affect the time performance but not the accuracy"); | |||
} | |||
args.begin_mask = begin_mask; | |||
args.end_mask = end_mask; | |||
args.ellipsis_mask = ellipsis_mask; | |||
args.new_axis_mask = new_axis_mask; | |||
args.data_type = static_cast<int64_t>(data_type); | |||
args.shrink_axis_mask = shrink_axis_mask; | |||
ConstGeTensorPtr weight0 = input[kStridedSliceInputIndex0]; | |||
ConstGeTensorPtr weight1 = input[kStridedSliceInputIndex1]; | |||
ConstGeTensorPtr weight2 = input[kStridedSliceInputIndex2]; | |||
ConstGeTensorPtr weight3 = input[kStridedSliceInputIndex3]; | |||
if (CheckWeight(weight0, weight1, weight2, weight3) != SUCCESS) { | |||
GELOGW("Check And Get Attr failed."); | |||
auto ellipsis_mask = attr_value_map_.at(STRIDE_SLICE_ATTR_ELLIPSIS_MASK); | |||
if (!IsEllipsisMaskValid(input_desc, ellipsis_mask)) { | |||
return PARAM_INVALID; | |||
} | |||
return SUCCESS; | |||
} | |||
Status StridedSliceKernel::CheckWeight(const ConstGeTensorPtr &weight0, const ConstGeTensorPtr &weight1, | |||
const ConstGeTensorPtr &weight2, const ConstGeTensorPtr &weight3) const { | |||
if ((weight0 == nullptr) || (weight1 == nullptr) || (weight2 == nullptr) || (weight3 == nullptr)) { | |||
GELOGW("weight is nullptr."); | |||
Status StridedSliceKernel::CheckInputParam(const std::vector<ConstGeTensorPtr> &input) const { | |||
if (input.size() != kStridedSliceInputSize) { | |||
GELOGE(PARAM_INVALID, "The number of input for strided slice must be %zu.", kStridedSliceInputSize); | |||
return PARAM_INVALID; | |||
} | |||
if (!(weight1->GetTensorDesc().GetDataType() == DT_INT32 && weight2->GetTensorDesc().GetDataType() == DT_INT32 && | |||
weight3->GetTensorDesc().GetDataType() == DT_INT32)) { | |||
GELOGE(INTERNAL_ERROR, "Data type of StridedSlice OP(begin,end,strides) must be int32."); | |||
return INTERNAL_ERROR; | |||
ConstGeTensorPtr weight0 = input[kStridedSliceInputIndex]; | |||
ConstGeTensorPtr begin_tensor = input[kStridedSliceBeginIndex]; | |||
ConstGeTensorPtr end_tensor = input[kStridedSliceEndIndex]; | |||
ConstGeTensorPtr stride_tensor = input[kStridedSliceStrideIndex]; | |||
GE_CHECK_NOTNULL(weight0); | |||
GE_CHECK_NOTNULL(begin_tensor); | |||
GE_CHECK_NOTNULL(end_tensor); | |||
GE_CHECK_NOTNULL(stride_tensor); | |||
// check if begin,end,strides data type is supported | |||
auto begin_tensor_desc = begin_tensor->GetTensorDesc(); | |||
auto end_tensor_desc = begin_tensor->GetTensorDesc(); | |||
auto stride_tensor_desc = begin_tensor->GetTensorDesc(); | |||
if (begin_tensor_desc.GetDataType() != end_tensor_desc.GetDataType() || | |||
end_tensor_desc.GetDataType() != stride_tensor_desc.GetDataType()) { | |||
GELOGW("Data type of StridedSlice OP(begin,end,strides) must be same."); | |||
return PARAM_INVALID; | |||
} | |||
if (kIndexNumberType.find(begin_tensor_desc.GetDataType()) == kIndexNumberType.end()) { | |||
GELOGW("Data type of StridedSlice OP(begin,end,strides) must be int32 or int64."); | |||
return PARAM_INVALID; | |||
} | |||
// check data | |||
size_t weight0_size = weight0->GetData().size() / sizeof(int32_t); | |||
size_t weight1_size = weight1->GetData().size() / sizeof(int32_t); | |||
size_t weight2_size = weight2->GetData().size() / sizeof(int32_t); | |||
size_t weight3_size = weight3->GetData().size() / sizeof(int32_t); | |||
if ((weight0_size == 0) || (weight1_size == 0) || (weight2_size == 0) || (weight3_size == 0)) { | |||
auto x_data_type = weight0->GetTensorDesc().GetDataType(); | |||
auto x_data_size = GetSizeByDataType(x_data_type); | |||
if (x_data_size < 0) { | |||
GELOGW("Data type of x input %s is not supported.", TypeUtils::DataTypeToSerialString(x_data_type).c_str()); | |||
return PARAM_INVALID; | |||
} | |||
size_t weight0_size = weight0->GetData().size() / x_data_size; | |||
size_t begin_data_size = begin_tensor->GetData().size() / sizeof(int32_t); | |||
size_t end_data_size = end_tensor->GetData().size() / sizeof(int32_t); | |||
size_t stride_data_size = stride_tensor->GetData().size() / sizeof(int32_t); | |||
if ((weight0_size == 0) || (begin_data_size == 0) || (end_data_size == 0) || (stride_data_size == 0)) { | |||
GELOGW("Data size of inputs is 0."); | |||
return PARAM_INVALID; | |||
} | |||
// check dim size | |||
size_t weight0_dim_size = weight0->GetTensorDesc().GetShape().GetDimNum(); | |||
if (!((weight0_dim_size >= weight1_size) && (weight1_size == weight2_size) && (weight1_size == weight3_size))) { | |||
if (!((begin_data_size == end_data_size) && (end_data_size == stride_data_size))) { | |||
GELOGW("The sizes of begin, end and stride is not supported."); | |||
return NOT_CHANGED; | |||
return PARAM_INVALID; | |||
} | |||
return SUCCESS; | |||
} | |||
Status StridedSliceKernel::MaskCal(const bool &begin_mask_flag, const bool &end_mask_flag, const bool &shrink_mask_flag, | |||
int32_t &begin_i, int32_t &end_i, int32_t &dim_i) const { | |||
Status StridedSliceKernel::InitParamWithAttrs(const std::vector<ConstGeTensorPtr> &input, | |||
std::vector<int64_t> &input_dims, std::vector<int64_t> &begin_vec, | |||
std::vector<int64_t> &output_dims, std::vector<int64_t> &stride_vec) { | |||
ConstGeTensorPtr weight0 = input[kStridedSliceInputIndex]; | |||
ConstGeTensorPtr begin_tensor = input[kStridedSliceBeginIndex]; | |||
ConstGeTensorPtr end_tensor = input[kStridedSliceEndIndex]; | |||
ConstGeTensorPtr stride_tensor = input[kStridedSliceStrideIndex]; | |||
const GeShape x_shape = weight0->GetTensorDesc().GetShape(); | |||
auto x_dims = x_shape.GetDims(); | |||
auto x_dims_num = x_shape.GetDimNum(); | |||
// handle new_axis_mask | |||
ExpandDimsWithNewAxis(begin_tensor, x_dims_num, x_dims); | |||
const int32_t *begin = reinterpret_cast<const int32_t *>(begin_tensor->GetData().data()); | |||
const int32_t *end = reinterpret_cast<const int32_t *>(end_tensor->GetData().data()); | |||
const int32_t *stride = reinterpret_cast<const int32_t *>(stride_tensor->GetData().data()); | |||
auto begin_dim_num = begin_tensor->GetData().size() / sizeof(int32_t); | |||
auto min_dim = x_dims_num > begin_dim_num ? begin_dim_num : x_dims_num; | |||
for (size_t i = 0; i < x_dims.size(); ++i) { | |||
auto i_temp = static_cast<uint64_t>(i); | |||
bool new_axis_mask_flag = | |||
(static_cast<uint64_t>(attr_value_map_.at(STRIDE_SLICE_ATTR_NEW_AXIS_MASK)) & (1 << i_temp)); | |||
if (new_axis_mask_flag) { | |||
output_dims.push_back(1); | |||
input_dims.push_back(1); | |||
begin_vec.push_back(0); | |||
stride_vec.push_back(1); | |||
continue; | |||
} | |||
int64_t begin_i = 0; | |||
int64_t end_i = 0; | |||
int64_t stride_i = 1; | |||
if (i < min_dim) { | |||
begin_i = begin[i]; | |||
end_i = end[i]; | |||
stride_i = stride[i]; | |||
} else { | |||
begin_i = 0; | |||
end_i = x_dims.at(i); | |||
stride_i = 1; | |||
} | |||
GELOGD("Before mask calculate. Begin is : %d\t,end is : %d\t stride is : %d\t x_dim_i is : %d.", begin_i, end_i, | |||
stride_i, x_dims.at(i)); | |||
auto ret = MaskCal(i, begin_i, end_i, x_dims.at(i)); | |||
if (ret != SUCCESS) { | |||
GELOGW("MaskCal failed, because of data overflow."); | |||
return NOT_CHANGED; | |||
} | |||
int64_t dim_final; | |||
GELOGD("Before stride calculate. Begin is : %d\t,end is : %d\t stride is : %d\t x_dim_i is : %d.", begin_i, end_i, | |||
stride_i, x_dims.at(i)); | |||
(void)StrideCal(x_dims.at(i), begin_i, end_i, stride_i, dim_final); | |||
output_dims.push_back(dim_final); | |||
input_dims.push_back(x_dims.at(i)); | |||
begin_vec.push_back(begin_i); | |||
stride_vec.push_back(stride_i); | |||
} | |||
return SUCCESS; | |||
} | |||
void StridedSliceKernel::ExpandDimsWithNewAxis(const ConstGeTensorPtr &begin_tensor, const size_t x_dims_num, | |||
vector<int64_t> &x_dims) { | |||
auto begin_data_type_size = GetSizeByDataType(begin_tensor->GetTensorDesc().GetDataType()); | |||
size_t begin_vec_size = begin_tensor->GetData().size() / begin_data_type_size; | |||
auto final_dim_num = x_dims_num < begin_vec_size ? begin_vec_size : x_dims_num; | |||
for (size_t i = 0; i < final_dim_num; i++) { | |||
auto i_temp = static_cast<uint64_t>(i); | |||
bool new_axis_mask_flag = | |||
(static_cast<uint64_t>(attr_value_map_.at(STRIDE_SLICE_ATTR_NEW_AXIS_MASK)) & (1 << i_temp)); | |||
if (new_axis_mask_flag) { | |||
x_dims.insert(x_dims.begin() + i, 1); | |||
} | |||
} | |||
} | |||
Status StridedSliceKernel::MaskCal(const size_t i, int64_t &begin_i, int64_t &end_i, int64_t &dim_i) const { | |||
uint64_t i_temp = static_cast<uint64_t>(i); | |||
bool begin_mask_flag = (static_cast<uint64_t>(attr_value_map_.at(STRIDE_SLICE_ATTR_BEGIN_MASK)) & (1 << i_temp)); | |||
bool end_mask_flag = (static_cast<uint64_t>(attr_value_map_.at(STRIDE_SLICE_ATTR_END_MASK)) & (1 << i_temp)); | |||
bool ellipsis_mask_flag = | |||
(static_cast<uint64_t>(attr_value_map_.at(STRIDE_SLICE_ATTR_ELLIPSIS_MASK)) & (1 << i_temp)); | |||
bool shrink_mask_flag = | |||
(static_cast<uint32_t>(attr_value_map_.at(STRIDE_SLICE_ATTR_SHRINK_AXIS_MASK)) & (1 << i_temp)); | |||
if (shrink_mask_flag) { | |||
begin_i = (begin_i < 0 ? (dim_i + begin_i) : begin_i); | |||
FMK_INT32_ADDCHECK(begin_i, kNumOne); | |||
FMK_INT32_ADDCHECK(begin_i, kNumOne) | |||
end_i = begin_i + kNumOne; | |||
} else { | |||
if (begin_mask_flag) { | |||
@@ -153,130 +284,43 @@ Status StridedSliceKernel::MaskCal(const bool &begin_mask_flag, const bool &end_ | |||
} else { | |||
end_i = (end_i < 0 ? (dim_i + end_i) : end_i); | |||
} | |||
if (ellipsis_mask_flag) { | |||
begin_i = 0; | |||
end_i = dim_i; | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
Status StridedSliceKernel::StrideCal(const int64_t x_dims_i, int64_t &begin_i, int64_t &end_i, int64_t &stride_i, | |||
int64_t &dim_final) const { | |||
if (stride_i == 0) { | |||
stride_i = kDefaultStrideSize; | |||
} else if (stride_i < 0) { | |||
stride_i = -stride_i; | |||
begin_i = x_dims_i - begin_i - 1; | |||
end_i = x_dims_i - end_i - 1; | |||
} | |||
void StridedSliceKernel::GetOutputDims(uint32_t dims_size, const std::vector<int64_t> &output_dims, const Attr &args, | |||
if (end_i > x_dims_i) { | |||
end_i = x_dims_i; | |||
} | |||
if ((begin_i == 0) && (end_i == 0)) { | |||
dim_final = x_dims_i; | |||
} else { | |||
dim_final = abs(end_i - begin_i) / stride_i; | |||
} | |||
return SUCCESS; | |||
} | |||
void StridedSliceKernel::GetOutputDims(uint32_t dims_size, const std::vector<int64_t> &output_dims, | |||
vector<int64_t> &v_dims) { | |||
for (uint32_t k = 0; k < dims_size; k++) { | |||
bool shrink_mask_i = (static_cast<uint32_t>(args.shrink_axis_mask) & (1 << k)); | |||
bool shrink_mask_i = (static_cast<uint32_t>(attr_value_map_.at(STRIDE_SLICE_ATTR_SHRINK_AXIS_MASK)) & (1 << k)); | |||
if (shrink_mask_i) { | |||
continue; | |||
} | |||
v_dims.push_back(output_dims[k]); | |||
} | |||
} | |||
Status StridedSliceKernel::CheckOutputDims(const std::vector<int64_t> &output_dims, const OpDescPtr attr) { | |||
// check dim not all less than 0 | |||
for (auto dim : output_dims) { | |||
if (dim > 0) { | |||
return SUCCESS; | |||
} | |||
} | |||
GELOGW("all output dim <=0, can't be processed. op_name : %s", attr->GetName().c_str()); | |||
return NOT_CHANGED; | |||
} | |||
Status StridedSliceKernel::Compute(const ge::OpDescPtr attr, const std::vector<ge::ConstGeTensorPtr> &input, | |||
vector<ge::GeTensorPtr> &v_output) { | |||
GELOGI("StridedSliceKernel in."); | |||
Attr args; | |||
Status ret = CheckAndGetAttr(attr, input, args); | |||
if (ret != SUCCESS) { | |||
GELOGW("Check And Get Attr failed."); | |||
return NOT_CHANGED; | |||
} | |||
ConstGeTensorPtr weight0 = input[kStridedSliceInputIndex0]; | |||
ConstGeTensorPtr weight1 = input[kStridedSliceInputIndex1]; | |||
ConstGeTensorPtr weight2 = input[kStridedSliceInputIndex2]; | |||
ConstGeTensorPtr weight3 = input[kStridedSliceInputIndex3]; | |||
const GeShape x_shape = weight0->GetTensorDesc().GetShape(); | |||
size_t dim_size = x_shape.GetDimNum(); | |||
size_t data_size = weight0->GetData().size() / sizeof(int32_t); | |||
const int32_t *begin = reinterpret_cast<const int32_t *>(weight1->GetData().data()); | |||
const int32_t *end = reinterpret_cast<const int32_t *>(weight2->GetData().data()); | |||
const int32_t *stride = reinterpret_cast<const int32_t *>(weight3->GetData().data()); | |||
if ((begin == nullptr) || (end == nullptr) || (stride == nullptr)) { | |||
GELOGW("input weight tensor is nullptr."); | |||
return NOT_CHANGED; | |||
} | |||
std::vector<int64_t> input_dims; | |||
std::vector<int64_t> begin_vec; | |||
std::vector<int64_t> output_dims; | |||
std::vector<int64_t> stride_vec; | |||
int64_t dim_final; | |||
for (size_t i = 0; i < dim_size; i++) { | |||
int32_t begin_i = begin[i]; | |||
int32_t end_i = end[i]; | |||
int32_t stride_i = stride[i]; | |||
int32_t dim_i = static_cast<int32_t>(x_shape.GetDim(i)); | |||
GELOGI("%d\t %d\t %d\t %d", begin_i, end_i, stride_i, dim_i); | |||
uint32_t i_temp = static_cast<uint32_t>(i); | |||
bool begin_mask_i = (static_cast<uint32_t>(args.begin_mask) & (1 << i_temp)); | |||
bool end_mask_i = (static_cast<uint32_t>(args.end_mask) & (1 << i_temp)); | |||
bool shrink_mask_i = (static_cast<uint32_t>(args.shrink_axis_mask) & (1 << i_temp)); | |||
ret = MaskCal(begin_mask_i, end_mask_i, shrink_mask_i, begin_i, end_i, dim_i); | |||
if (ret != SUCCESS) { | |||
GELOGW("MaskCal failed, because of data overflow."); | |||
return NOT_CHANGED; | |||
} | |||
if (stride_i == 0) { | |||
stride_i = kDefaultSrideSize; | |||
} else if (stride_i < 0) { | |||
stride_i = -stride_i; | |||
begin_i = x_shape.GetDim(i) - begin_i - 1; | |||
end_i = x_shape.GetDim(i) - end_i - 1; | |||
} | |||
if ((begin_i == 0) && (end_i == 0)) { | |||
dim_final = x_shape.GetDim(i); | |||
} else { | |||
dim_final = abs(end_i - begin_i) / stride_i; | |||
} | |||
output_dims.push_back(dim_final); | |||
input_dims.push_back(x_shape.GetDim(i)); | |||
begin_vec.push_back(begin_i); | |||
stride_vec.push_back(stride_i); | |||
} | |||
// Index 0 can always gets a GeTensorDesc object from any OpDescPtr. | |||
auto output_tensor_desc = attr->GetOutputDesc(0); | |||
GeTensorPtr output_ptr = MakeShared<GeTensor>(output_tensor_desc); | |||
if (output_ptr == nullptr) { | |||
GELOGW("MakeShared GeTensor failed, node name %s.", attr->GetName().c_str()); | |||
return NOT_CHANGED; | |||
} | |||
void *data = reinterpret_cast<void *>(const_cast<uint8_t *>(weight0->GetData().data())); | |||
GE_CHECK_NOTNULL(data); | |||
ret = CheckOutputDims(output_dims, attr); | |||
if (ret != SUCCESS) { | |||
return ret; | |||
} | |||
ret = OpUtils::SetOutputSliceData(data, static_cast<int64_t>(data_size), args.data_type, input_dims, begin_vec, | |||
output_dims, output_ptr.get(), stride_vec); | |||
if (ret != SUCCESS) { | |||
GELOGW("SetOutputSliceData failed."); | |||
return NOT_CHANGED; | |||
} | |||
GeTensorDesc &t_d = output_ptr->MutableTensorDesc(); | |||
t_d.SetDataType(static_cast<DataType>(args.data_type)); | |||
uint32_t final_dim_size = static_cast<uint32_t>(output_dims.size()); | |||
vector<int64_t> v_dims; | |||
GetOutputDims(final_dim_size, output_dims, args, v_dims); | |||
t_d.SetShape(GeShape(v_dims)); | |||
v_output.push_back(output_ptr); | |||
GELOGI("StridedSliceKernel success."); | |||
return SUCCESS; | |||
} | |||
REGISTER_KERNEL(STRIDEDSLICE, StridedSliceKernel); | |||
} // namespace ge |
@@ -17,34 +17,33 @@ | |||
#ifndef GE_GRAPH_PASSES_FOLDING_KERNEL_STRIDED_SLICE_KERNEL_H_ | |||
#define GE_GRAPH_PASSES_FOLDING_KERNEL_STRIDED_SLICE_KERNEL_H_ | |||
#include <vector> | |||
#include "inc/kernel.h" | |||
#include <vector> | |||
namespace ge { | |||
struct Attr { | |||
int64_t begin_mask; | |||
int64_t end_mask; | |||
int64_t ellipsis_mask; | |||
int64_t new_axis_mask; | |||
int64_t data_type; | |||
int64_t shrink_axis_mask; | |||
}; | |||
class StridedSliceKernel : public Kernel { | |||
public: | |||
Status Compute(const OpDescPtr attr, const std::vector<ConstGeTensorPtr> &input, | |||
vector<GeTensorPtr> &v_output) override; | |||
private: | |||
Status CheckAndGetAttr(const OpDescPtr &attr, const std::vector<ConstGeTensorPtr> &input, Attr &args); | |||
Status CheckWeight(const ConstGeTensorPtr &weight0, const ConstGeTensorPtr &weight1, const ConstGeTensorPtr &weight2, | |||
const ConstGeTensorPtr &weight3) const; | |||
Status MaskCal(const bool &begin_mask_flag, const bool &end_mask_flag, const bool &shrink_mask_flag, int32_t &begin_i, | |||
int32_t &end_i, int32_t &dim_i) const; | |||
void GetOutputDims(uint32_t dims_size, const std::vector<int64_t> &output_dims, const Attr &args, | |||
vector<int64_t> &v_dims); | |||
Status CheckOutputDims(const std::vector<int64_t> &output_dims, const OpDescPtr attr); | |||
Status CheckAndGetAttr(const OpDescPtr &attr); | |||
Status CheckInputParam(const std::vector<ConstGeTensorPtr> &input) const; | |||
Status InitParamWithAttrs(const std::vector<ConstGeTensorPtr> &input, std::vector<int64_t> &input_dims, | |||
std::vector<int64_t> &begin_vec, std::vector<int64_t> &output_dims, | |||
std::vector<int64_t> &stride_vec); | |||
Status MaskCal(const size_t i, int64_t &begin_i, int64_t &end_i, int64_t &dim_i) const; | |||
Status StrideCal(const int64_t x_dims_i, int64_t &begin_i, int64_t &end_i, int64_t &stride_i, | |||
int64_t &dim_final) const; | |||
void ExpandDimsWithNewAxis(const ConstGeTensorPtr &begin_tensor, const size_t x_dims_num, vector<int64_t> &x_dims); | |||
void GetOutputDims(uint32_t dims_size, const std::vector<int64_t> &output_dims, vector<int64_t> &v_dims); | |||
map<string, uint32_t> attr_value_map_ = {{STRIDE_SLICE_ATTR_BEGIN_MASK, 0}, | |||
{STRIDE_SLICE_ATTR_END_MASK, 0}, | |||
{STRIDE_SLICE_ATTR_ELLIPSIS_MASK, 0}, | |||
{STRIDE_SLICE_ATTR_NEW_AXIS_MASK, 0}, | |||
{STRIDE_SLICE_ATTR_SHRINK_AXIS_MASK, 0}}; | |||
}; | |||
} // namespace ge | |||
#endif // GE_GRAPH_PASSES_FOLDING_KERNEL_STRIDED_SLICE_KERNEL_H_ |
@@ -27,6 +27,12 @@ const char *const kEnvProfilingLevel = "HYBRID_PROFILING_LEVEL"; | |||
HybridModelExecutor::HybridModelExecutor(HybridModel *model, uint32_t device_id, rtStream_t stream) | |||
: model_(model), device_id_(device_id), stream_(stream) {} | |||
HybridModelExecutor::~HybridModelExecutor() { | |||
if (context_.rt_gen_context != nullptr) { | |||
(void)rtCtxDestroy(context_.rt_gen_context); | |||
} | |||
} | |||
Status HybridModelExecutor::Init() { | |||
GELOGD("Start to init HybridGraphEngine."); | |||
GE_CHK_STATUS_RET_NOLOG(InitExecutionContext()); | |||