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add error msg

tags/v1.3.0
wangxiaotian22 3 years ago
parent
a0bd2ce726
commit
88b73dc98c
2 changed files with 233 additions and 3 deletions
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  1. +218
    -3
      ge/graph/load/model_manager/davinci_model.cc
  2. +15
    -0
      ge/graph/manager/graph_caching_allocator.cc

+ 218
- 3
ge/graph/load/model_manager/davinci_model.cc View File

@@ -67,6 +67,8 @@
try { \
thread_id = std::thread(func, args); \
} catch (const std::system_error &e) { \
REPORT_CALL_ERROR("E19999", "Create thread fail, ecode:%d, emsg:%s, when DavinciModel %s", \
e.code().value(), e.what(), __FUNCTION__); \
GELOGE(FAILED, "Caught system_error with code:%d, meaning:%s", e.code().value(), e.what()); \
GELOGE(FAILED, "Thread creat FAIL, Please check the left resource!"); \
return FAILED; \
@@ -329,6 +331,8 @@ void DavinciModel::Shrink() {

Status DavinciModel::InitWeightMem(void *dev_ptr, void *weight_ptr, size_t weight_size) {
if (is_weight_mem_has_inited_) {
REPORT_INNER_ERROR("E19999", "Call InitWeightMem more than once, model_id:%u, check invalid when %s",
model_id_, __FUNCTION__);
GELOGE(FAILED, "call InitWeightMem more than once.");
return FAILED;
}
@@ -339,6 +343,8 @@ Status DavinciModel::InitWeightMem(void *dev_ptr, void *weight_ptr, size_t weigh
GE_CHECK_LE(weights_size, ALLOC_MEMORY_MAX_SIZE);

if ((weight_ptr != nullptr) && (weight_size < weights_size)) {
REPORT_INNER_ERROR("E19999", "Param weight_ptr is nullptr or ge_model.weight.size:%zu < param weights_size:%zu, "
"model_id:%u, check invalid when %s", weight_size, weights_size, model_id_, __FUNCTION__);
GELOGE(FAILED, "Invalid mem param: weight_size=%zu totalsize=%zu.", weight_size, weights_size);
return FAILED;
}
@@ -352,6 +358,8 @@ Status DavinciModel::InitWeightMem(void *dev_ptr, void *weight_ptr, size_t weigh
if (weight_ptr == nullptr) {
weights_mem_base_ = MallocWeightsMem(weights_size);
if (weights_mem_base_ == nullptr) {
REPORT_CALL_ERROR("E19999", "MallocWeightsMem fail, weights_size:%zu, model_id:%u, check invalid when %s",
weights_size, model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Alloc weight memory failed. size: %zu", weights_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
}
@@ -370,6 +378,8 @@ Status DavinciModel::InitWeightMem(void *dev_ptr, void *weight_ptr, size_t weigh

Status DavinciModel::InitFeatureMapAndP2PMem(void *dev_ptr, size_t mem_size) {
if (is_feature_map_mem_has_inited_) {
REPORT_INNER_ERROR("E19999", "Call InitFeatureMapMem more than once, model_id:%u, check invalid when %s",
model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "call InitFeatureMapMem more than once");
return PARAM_INVALID;
}
@@ -379,6 +389,8 @@ Status DavinciModel::InitFeatureMapAndP2PMem(void *dev_ptr, size_t mem_size) {
std::size_t p2p_data_size = P2PMemInfos().at(RT_MEMORY_P2P_DDR).memory_size;

if ((dev_ptr != nullptr) && (mem_size < TotalMemSize())) {
REPORT_INNER_ERROR("E19999", "Param dev_ptr is nullptr or mem_size:%zu < ge_model.mem_size:%zu, "
"model_id:%u, check invalid when %s", mem_size, TotalMemSize(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "Invalid mem param: mem_size=%zu totalsize=%zu.", mem_size, TotalMemSize());
return PARAM_INVALID;
}
@@ -390,6 +402,8 @@ Status DavinciModel::InitFeatureMapAndP2PMem(void *dev_ptr, size_t mem_size) {
if (TotalMemSize() && mem_base_ == nullptr) {
mem_base_ = MallocFeatureMapMem(data_size);
if (mem_base_ == nullptr) {
REPORT_CALL_ERROR("E19999", "MallocFeatureMapMem fail, data_size:%zu, model_id:%u, check invalid when %s",
data_size, model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Alloc feature map memory failed. size: %zu", data_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
}
@@ -406,6 +420,8 @@ Status DavinciModel::InitFeatureMapAndP2PMem(void *dev_ptr, size_t mem_size) {
if (p2p_data_size != 0) {
p2p_mem_base_ = MallocP2PMem(p2p_data_size);
if (p2p_mem_base_ == nullptr) {
REPORT_CALL_ERROR("E19999", "MallocFeatureMapMem fail, p2p_data_size:%zu, model_id:%u, check invalid when %s",
p2p_data_size, model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Alloc p2p memory failed,size: %zu", p2p_data_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
}
@@ -427,6 +443,8 @@ Status DavinciModel::InitVariableMem() {
if (TotalVarMemSize() && (var_mem_base_ == nullptr)) {
Status ret = VarManager::Instance(session_id_)->MallocVarMemory(TotalVarMemSize());
if (ret != SUCCESS) {
REPORT_CALL_ERROR("E19999", "MallocVarMemory fail, var_size:%zu, model_id:%u, check invalid when %s",
TotalVarMemSize(), model_id_, __FUNCTION__);
GELOGE(ret, "Malloc variable memory failed.");
return ret;
}
@@ -567,6 +585,8 @@ Status DavinciModel::SetTSDevice() {
GELOGD("SetTSDevice: %u.", core_type);
rtError_t rt_ret = rtSetTSDevice(core_type);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtSetTSDevice failed, core_type:%u, model_id:%u, when DavinciModel %s",
core_type, model_id_, __FUNCTION__);
GELOGE(RT_FAILED, "SetTSDevice failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -575,7 +595,7 @@ Status DavinciModel::SetTSDevice() {

Status DavinciModel::OpDebugRegister() {
if (GetDumpProperties().IsOpDebugOpen()) {
uint32_t op_debug_mode = GetDumpProperties().GetOpDebugMode();
uint32_t op_debug_mode = GetDumpProperties().GetOpDebugMode();
auto ret = opdebug_register_.RegisterDebugForModel(rt_model_handle_, op_debug_mode, data_dumper_);
if (ret != SUCCESS) {
GELOGE(ret,"Register known shape op debug failed, ret: 0x%X",ret);
@@ -885,6 +905,8 @@ Status DavinciModel::InitNodes(const ComputeGraphPtr &compute_graph) {

rtError_t rt_ret = rtMemcpy(addr, size, tensor_device_addrs.data(), size, RT_MEMCPY_HOST_TO_DEVICE);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtMemcpy failed, size:%zu, ret: 0x%X when DavinciModel %s",
size, rt_ret, __FUNCTION__);
GELOGE(RT_FAILED, "rtMemcpy error, ret: 0x%X", rt_ret);
GE_CHK_RT(rtFree(addr));
return RT_ERROR_TO_GE_STATUS(rt_ret);
@@ -959,6 +981,11 @@ Status DavinciModel::InitDataOp(const ComputeGraphPtr &graph, const NodePtr &nod
const vector<int64_t> output_offset_list = op_desc->GetOutputOffset();
if (output_size_list.empty() || virtual_addr_list.empty() || (output_size_list.size() != virtual_addr_list.size()) ||
(output_offset_list.size() != virtual_addr_list.size())) {
REPORT_INNER_ERROR(
"E19999", "Check data fail in op:%s(%s), output_desc size:%zu output addr size:%zu output offset size:%zu "
"not equal or has empty, model_id:%u, when DavinciModel %s",
op_desc->GetName().c_str(), op_desc->GetType().c_str(),
output_size_list.size(), virtual_addr_list.size(), output_offset_list.size(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "Data[%s] init failed: output size is %zu, virtual_addr size is %zu, offset size is %zu.",
op_desc->GetName().c_str(), output_size_list.size(), virtual_addr_list.size(), output_offset_list.size());
return PARAM_INVALID;
@@ -1076,12 +1103,22 @@ Status DavinciModel::InitNetOutput(const ComputeGraphPtr &graph, const NodePtr &
const vector<void *> virtual_addr_list = ModelUtils::GetInputDataAddrs(runtime_param_, op_desc);
const vector<int64_t> input_offset_list = op_desc->GetInputOffset();
GE_IF_BOOL_EXEC(input_offset_list.size() != virtual_addr_list.size(),
GELOGE(PARAM_INVALID, "virtual_addr size should be equal to offset size."); return PARAM_INVALID;);
REPORT_INNER_ERROR(
"E19999", "Check data fail in op:%s(%s), input addr size:%zu input offset size:%zu "
"not equal, model_id:%u, when DavinciModel %s",
op_desc->GetName().c_str(), op_desc->GetType().c_str(),
virtual_addr_list.size(), input_offset_list.size(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "virtual_addr size should be equal to offset size.");
return PARAM_INVALID;);
if (input_size_list.empty() && virtual_addr_list.empty()) {
GELOGI("NetOutput[%s] is empty.", op_desc->GetName().c_str());
return SUCCESS;
}
if (input_size_list.empty() || input_size_list.size() != virtual_addr_list.size()) {
REPORT_INNER_ERROR(
"E19999", "Check data fail in op:%s(%s), input_desc size:%zu input addr size:%zu not equal or has empty, "
"model_id:%u, when DavinciModel %s", op_desc->GetName().c_str(), op_desc->GetType().c_str(),
input_size_list.size(), virtual_addr_list.size(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "NetOutput[%s] init failed: Input size is %zu, Input addr is %zu", op_desc->GetName().c_str(),
input_size_list.size(), virtual_addr_list.size());
return PARAM_INVALID;
@@ -1179,6 +1216,9 @@ Status DavinciModel::GetGetDynamicDimsNodeInfo(const NodePtr &node) {
auto in_anchor = node->GetAllInDataAnchors().at(get_dynamic_dims_index);
auto peer_out_anchor = in_anchor->GetPeerOutAnchor();
if (peer_out_anchor == nullptr) {
REPORT_INNER_ERROR("E19999", "In anchor index:%zu in op:%s(%s) peer anchor is nullptr, model_id:%u, check invalid "
"when DavinciModel %s", get_dynamic_dims_index,
node->GetName().c_str(), node->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "Out anchor of getdynmaicdims node should not be nullptr.");
return PARAM_INVALID;
}
@@ -1190,12 +1230,18 @@ Status DavinciModel::GetGetDynamicDimsNodeInfo(const NodePtr &node) {
auto input_addr = ModelUtils::GetInputDataAddrs(runtime_param_, node->GetOpDesc());
auto input_size = ModelUtils::GetInputSize(node->GetOpDesc());
if (input_addr.empty() || input_size.empty()) {
REPORT_INNER_ERROR("E19999", "input_addr size:%zu or input_length size:%zu in op:%s(%s) has empty, model_id:%u "
"check invalid when DavinciModel %s", input_addr.size(), input_size.size(),
node->GetName().c_str(), node->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "Not set output of %s", op_desc->GetName().c_str());
return PARAM_INVALID;
}
auto input_desc = node->GetOpDesc()->GetInputDescPtr(get_dynamic_dims_index);
GE_CHECK_NOTNULL(input_desc);
if (input_desc->GetShape().GetDims().empty()) {
REPORT_INNER_ERROR("E19999", "input_desc_index:%zu in op:%s(%s) shape dim is empty, model_id:%u, check invalid "
"when DavinciModel %s", get_dynamic_dims_index,
node->GetName().c_str(), node->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "Not set output desc shape of %s.", op_desc->GetName().c_str());
return PARAM_INVALID;
}
@@ -1240,6 +1286,8 @@ Status DavinciModel::GetRealOutputSizeOfCase(const ComputeGraphPtr &graph, size_
for (const auto &name : func_desc->GetSubgraphInstanceNames()) {
const auto &subgraph = graph->GetSubgraph(name);
if (subgraph == nullptr) {
REPORT_INNER_ERROR("E19999", "Get name:%s subgraph in graph:%s fail, model_id:%u, check invalid "
"when DavinciModel %s", name.c_str(), graph->GetName().c_str(), model_id_, __FUNCTION__);
GELOGE(GE_GRAPH_EMPTY_SUBGRAPH, "Subgraph not found, name: %s.", name.c_str());
return GE_GRAPH_EMPTY_SUBGRAPH;
}
@@ -1252,6 +1300,10 @@ Status DavinciModel::GetRealOutputSizeOfCase(const ComputeGraphPtr &graph, size_
size_t batch_index = static_cast<size_t>(stoi(batch_label.substr(batch_label.rfind('_') + 1)));
GELOGD("Batch index of %s is %zu.", op_desc->GetName().c_str(), batch_index);
if (batch_index > all_gears_info_.size()) {
REPORT_INNER_ERROR("E19999", "Batch_index:%zu in op:%s(%s) > all_gears_info.size:%zu, model_id:%u, "
"check invalid when DavinciModel %s", batch_index,
op_desc->GetName().c_str(), op_desc->GetType().c_str(),
all_gears_info_.size(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "The value of ATTR_NAME_BATCH_LABEL is invalid.");
return PARAM_INVALID;
}
@@ -1261,6 +1313,9 @@ Status DavinciModel::GetRealOutputSizeOfCase(const ComputeGraphPtr &graph, size_
GE_CHECK_NOTNULL(tensor_desc);
int64_t data_size = 0;
if (TensorUtils::GetTensorSizeInBytes(*tensor_desc, data_size) != GRAPH_SUCCESS) {
REPORT_INNER_ERROR("E19999", "Get input TensorSize in op:%s(%s) failed, input_index:%zu, model_id:%u"
"when DavinciModel %s", op_desc->GetName().c_str(), op_desc->GetType().c_str(),
input_index, model_id_, __FUNCTION__);
GELOGE(FAILED, "Get tensor size in bytes failed.");
return FAILED;
}
@@ -1302,6 +1357,9 @@ Status DavinciModel::GetGearAndRealOutShapeInfo(const ComputeGraphPtr &graph, co
for (auto &it : dynamic_output_shape) {
auto gear_index = static_cast<size_t>(it[0]);
if (gear_index > all_gears_info_.size()) {
REPORT_INNER_ERROR("E19999", "gear index:%zu in op:%s(%s) > all_gears_info.size:%zu in model:%u check invalid"
"when DavinciModel %s", gear_index, op_desc->GetName().c_str(), op_desc->GetType().c_str(),
all_gears_info_.size(), model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "The value of cur index: %zu is invalid.", static_cast<size_t>(it[0]));
return PARAM_INVALID;
}
@@ -1350,6 +1408,8 @@ Status DavinciModel::GetLabelGotoAddr(uint32_t label_index, rtMemType_t mem_type
}

if (label_index >= label_list_.size()) {
REPORT_INNER_ERROR("E19999", "Param label index:%u >= label_list_.size:%zu in model:%u, check invalid"
"when DavinciModel %s", label_index, label_list_.size(), model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "Invalid label id:%u, label size:%zu", label_index, label_list_.size());
return INTERNAL_ERROR;
}
@@ -1359,6 +1419,8 @@ Status DavinciModel::GetLabelGotoAddr(uint32_t label_index, rtMemType_t mem_type
arg_size = label_used.size() * sizeof(rtLabelDevInfo);
rtError_t rt_ret = rtMalloc(&arg_addr, arg_size, mem_type);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%u, ret: 0x%X when DavinciModel %s",
arg_size, rt_ret, __FUNCTION__);
GELOGE(RT_FAILED, "Call rtMalloc failed, error: %#x", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -1366,6 +1428,7 @@ Status DavinciModel::GetLabelGotoAddr(uint32_t label_index, rtMemType_t mem_type
label_goto_args_[label_index] = { arg_addr, arg_size };
rt_ret = rtLabelListCpy(label_used.data(), label_used.size(), arg_addr, arg_size);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtLabelListCpy failed, ret: 0x%X when DavinciModel %s", rt_ret, __FUNCTION__);
GELOGE(RT_FAILED, "Call rtLabelListCpy failed, error: %#x", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -1380,15 +1443,24 @@ Status DavinciModel::GetLabelGotoAddr(uint32_t label_index, rtMemType_t mem_type
Status DavinciModel::InitLabelSet(const OpDescPtr &op_desc) {
uint32_t label_index = 0;
if (!AttrUtils::GetInt(op_desc, ATTR_NAME_LABEL_SWITCH_INDEX, label_index)) {
REPORT_INNER_ERROR("E19999", "Get Attr:%s in op:%s(%s) fail, model_id:%u, check invalid"
"when DavinciModel %s", ATTR_NAME_LABEL_SWITCH_INDEX.c_str(),
op_desc->GetName().c_str(), op_desc->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "InitLabelSet: %s attr [%s] not exist.", op_desc->GetName().c_str(),
ATTR_NAME_LABEL_SWITCH_INDEX.c_str());
return INTERNAL_ERROR;
}
if (label_index >= LabelNum()) {
REPORT_INNER_ERROR("E19999", "label_switch_index:%u in op:%s(%s) >= label_num:%u in model:%u, check invalid"
"when DavinciModel %s", label_index, op_desc->GetName().c_str(), op_desc->GetType().c_str(),
LabelNum(), model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "InitLabelSet: label index: %u >= label size: %u.", label_index, LabelNum());
return INTERNAL_ERROR;
}
if (label_id_indication_.count(label_index) > 0) {
REPORT_INNER_ERROR("E19999", "label_switch_index:%u in op:%s(%s) is already used in model:%u, check invalid"
"when DavinciModel %s", label_index, op_desc->GetName().c_str(), op_desc->GetType().c_str(),
model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "InitLabelSet: %s label index: %u already used.", op_desc->GetName().c_str(), label_index);
return INTERNAL_ERROR;
}
@@ -1400,6 +1472,9 @@ Status DavinciModel::InitLabelSet(const OpDescPtr &op_desc) {
} else if (stream_list_.size() > stream_id) {
stream = stream_list_[stream_id];
} else {
REPORT_INNER_ERROR("E19999", "stream_id:%u in op:%s(%s) >= stream size:%zu in model:%u, check invalid"
"when DavinciModel %s", stream_id, op_desc->GetName().c_str(), op_desc->GetType().c_str(),
stream_list_.size(), model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "InitLabelSet: stream index: %u >= stream size: %zu.", stream_id, stream_list_.size());
return INTERNAL_ERROR;
}
@@ -1407,6 +1482,7 @@ Status DavinciModel::InitLabelSet(const OpDescPtr &op_desc) {
rtLabel_t rt_label = nullptr;
rtError_t rt_error = rtLabelCreateExV2(&rt_label, rt_model_handle_, stream);
if (rt_error != RT_ERROR_NONE || rt_label == nullptr) {
REPORT_CALL_ERROR("E19999", "Call rtLabelCreateExV2 failed, ret: 0x%X when DavinciModel %s", rt_error, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "InitLabelSet: %s create label failed, error=0x%x.", op_desc->GetName().c_str(), rt_error);
return INTERNAL_ERROR;
}
@@ -1445,6 +1521,9 @@ Status DavinciModel::InitVariable(const OpDescPtr &op_desc, map<string, OpDescPt
Status DavinciModel::SetQueIds(const std::vector<uint32_t> &input_queue_ids,
const std::vector<uint32_t> &output_queue_ids) {
if (input_queue_ids.empty() && output_queue_ids.empty()) {
REPORT_INNER_ERROR("E19999", "Param input_queue_ids.size:%zu or output_queue_ids.size:%zu is empty, model_id:%u,"
"check invalid when DavinciModel %s", input_queue_ids.size(), output_queue_ids.size(),
model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_EXEC_MODEL_QUEUE_ID_INVALID, "Param is empty");
return ACL_ERROR_GE_EXEC_MODEL_QUEUE_ID_INVALID;
}
@@ -1467,12 +1546,18 @@ Status DavinciModel::LoadWithQueue() {
}

if (input_queue_ids_.size() != input_data_info_.size()) {
REPORT_INNER_ERROR("E19999", "Param input_queue_ids_.size:%zu != input_data_info_.size:%zu, model_id:%u,"
"check invalid when DavinciModel %s", input_queue_ids_.size(), input_data_info_.size(),
model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_EXEC_MODEL_QUEUE_ID_INVALID, "Input queue ids not match model: input_queue=%zu input_data=%zu",
input_queue_ids_.size(), input_data_info_.size());
return ACL_ERROR_GE_EXEC_MODEL_QUEUE_ID_INVALID;
}

if (output_queue_ids_.size() != output_data_info_.size()) {
REPORT_INNER_ERROR("E19999", "Param output_queue_ids_.size:%zu != output_data_info_.size:%zu, model_id:%u,"
"check invalid when DavinciModel %s", output_queue_ids_.size(), output_data_info_.size(),
model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_EXEC_MODEL_QUEUE_ID_INVALID,
"Output queue ids not match model: output_queue=%zu output_data=%zu",
output_queue_ids_.size(), output_data_info_.size());
@@ -1504,6 +1589,7 @@ Status DavinciModel::BindInputQueue() {
for (size_t i = 0; i < input_queue_ids_.size(); ++i) {
auto it = input_data_info_.find(i);
if (it == input_data_info_.end()) {

GELOGE(FAILED, "Input not match: tensor num=%zu, Queue id index=%zu", input_data_info_.size(), i);
return FAILED;
}
@@ -1520,6 +1606,7 @@ Status DavinciModel::BindInputQueue() {

rtError_t rt_ret = rtModelBindQueue(rt_model_handle_, queue_id, RT_MODEL_INPUT_QUEUE);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtModelBindQueue failed, ret: 0x%X when DavinciModel %s", rt_ret, __FUNCTION__);
GELOGE(RT_FAILED, "Call rtModelBindQueue failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -1540,6 +1627,8 @@ Status DavinciModel::CpuModelDequeue(uint32_t queue_id) {
GELOGI("Set CpuKernel model dequeue task enter.");
std::shared_ptr<CpuTaskModelDequeue> dequeue_task = MakeShared<CpuTaskModelDequeue>(rt_entry_stream_);
if (dequeue_task == nullptr) {
REPORT_INNER_ERROR("E19999", "New CpuTaskModelDequeue failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(MEMALLOC_FAILED, "Make CpuTaskModelDequeue task failed.");
return MEMALLOC_FAILED;
}
@@ -1562,6 +1651,8 @@ Status DavinciModel::CpuTaskModelZeroCopy(std::vector<uintptr_t> &mbuf_list,
GELOGI("Set CpuKernel model zero_copy task enter.");
std::shared_ptr<CpuTaskZeroCopy> zero_copy = MakeShared<CpuTaskZeroCopy>(rt_entry_stream_);
if (zero_copy == nullptr) {
REPORT_INNER_ERROR("E19999", "New CpuTaskZeroCopy failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(MEMALLOC_FAILED, "Make CpuTaskZeroCopy task failed.");
return MEMALLOC_FAILED;
}
@@ -1584,12 +1675,16 @@ Status DavinciModel::BindOutputQueue() {
for (size_t i = 0; i < output_queue_ids_.size(); ++i) {
auto it = output_data_info_.find(i);
if (it == output_data_info_.end()) {
REPORT_INNER_ERROR("E19999", "Index:%zu can't find in output_data_info_ size:%zu in model_id:%u, check invalid "
"when DavinciModel %s", i, output_data_info_.size(), model_id_, __FUNCTION__);
GELOGE(FAILED, "Output not match: tensor num=%zu, Queue id index=%zu", output_data_info_.size(), i);
return FAILED;
}

uint32_t queue_id = output_queue_ids_[i];
if (it->second.GetDataInfo().empty()) {
REPORT_INNER_ERROR("E19999", "Index:%zu out_data_info in model:%u is empty, check invalid "
"when DavinciModel %s", i, model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "the %zu output_queue not set data_info.", i);
return INTERNAL_ERROR;
}
@@ -1600,6 +1695,8 @@ Status DavinciModel::BindOutputQueue() {

rtError_t rt_ret = rtModelBindQueue(rt_model_handle_, queue_id, RT_MODEL_OUTPUT_QUEUE);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtModelBindQueue failed, queue_id:%u, ret: 0x%X when DavinciModel %s",
queue_id, rt_ret, __FUNCTION__);
GELOGE(RT_FAILED, "Call rtModelBindQueue failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -1621,12 +1718,16 @@ Status DavinciModel::BindOutputQueue() {
Status DavinciModel::CpuModelPrepareOutput(uintptr_t addr, uint32_t size) {
GELOGI("Set CpuKernel model enqueue task enter.");
if (input_mbuf_list_.empty()) {
REPORT_INNER_ERROR("E19999", "input_mbuf_list_ is empty, model_id:%u, check invalid when %s",
model_id_, __FUNCTION__);
GELOGE(FAILED, "Need input mbuf for fill output mbuf head info.");
return FAILED;
}

std::shared_ptr<CpuTaskPrepareOutput> prepare_output = MakeShared<CpuTaskPrepareOutput>(rt_entry_stream_);
if (prepare_output == nullptr) {
REPORT_INNER_ERROR("E19999", "New CpuTaskPrepareOutput failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(MEMALLOC_FAILED, "Make CpuTaskPrepareOutput task failed.");
return MEMALLOC_FAILED;
}
@@ -1651,6 +1752,8 @@ Status DavinciModel::CpuActiveStream() {
GELOGI("Set CpuKernel active stream task enter.");
std::shared_ptr<CpuTaskActiveEntry> active_entry = MakeShared<CpuTaskActiveEntry>(rt_entry_stream_);
if (active_entry == nullptr) {
REPORT_INNER_ERROR("E19999", "New CpuTaskActiveEntry failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(MEMALLOC_FAILED, "Make CpuTaskActiveEntry task failed.");
return MEMALLOC_FAILED;
}
@@ -1672,6 +1775,8 @@ Status DavinciModel::CpuWaitEndGraph() {
GELOGI("Set CpuKernel wait end graph task enter.");
std::shared_ptr<CpuTaskWaitEndGraph> wait_endgraph = MakeShared<CpuTaskWaitEndGraph>(rt_entry_stream_);
if (wait_endgraph == nullptr) {
REPORT_INNER_ERROR("E19999", "New CpuTaskWaitEndGraph failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(MEMALLOC_FAILED, "Make CpuTaskWaitEndGraph task failed.");
return MEMALLOC_FAILED;
}
@@ -1690,6 +1795,8 @@ Status DavinciModel::BindEnqueue() {
for (size_t i = 0; i < output_queue_ids_.size(); ++i) {
auto it = output_data_info_.find(i);
if (it == output_data_info_.end()) {
REPORT_INNER_ERROR("E19999", "Index:%zu can't find in output_data_info_ size:%zu in model_id:%u, check invalid "
"when DavinciModel %s", i, output_data_info_.size(), model_id_, __FUNCTION__);
GELOGE(FAILED, "Output not match: tensor num=%zu, Queue id index=%zu", output_data_info_.size(), i);
return FAILED;
}
@@ -1706,6 +1813,8 @@ Status DavinciModel::CpuModelEnqueue(uint32_t queue_id, uintptr_t out_mbuf) {
GELOGI("Set CpuKernel model enqueue task enter.");
std::shared_ptr<CpuTaskModelEnqueue> model_enqueue = MakeShared<CpuTaskModelEnqueue>(rt_entry_stream_);
if (model_enqueue == nullptr) {
REPORT_INNER_ERROR("E19999", "New CpuTaskModelEnqueue failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(MEMALLOC_FAILED, "Make CpuTaskModelEnqueue task failed.");
return MEMALLOC_FAILED;
}
@@ -1726,6 +1835,8 @@ Status DavinciModel::CpuModelRepeat() {
GELOGI("Set CpuKernel repeat task enter.");
std::shared_ptr<CpuTaskModelRepeat> model_repeat = MakeShared<CpuTaskModelRepeat>(rt_entry_stream_);
if (model_repeat == nullptr) {
REPORT_INNER_ERROR("E19999", "New CpuTaskModelRepeat failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(MEMALLOC_FAILED, "Make CpuTaskModelRepeat task failed.");
return MEMALLOC_FAILED;
}
@@ -1759,6 +1870,8 @@ Status DavinciModel::GetInputOutputDescInfo(vector<InputOutputDescInfo> &input_d
vector<uint32_t> &input_formats,
vector<uint32_t> &output_formats, bool by_dims) {
if (input_addrs_list_.empty() || input_addrs_list_[0].size() != 1) {
REPORT_INNER_ERROR("E19999", "input_addrs_list_ is empty or first member size != 1, model_id:%u, "
"check invalid when DavinciModel %s", model_id_, __FUNCTION__);
GELOGE(FAILED, "OP List Pointer is null or input_desc size is not 1!");
return FAILED;
}
@@ -1869,6 +1982,9 @@ Status DavinciModel::InitAippType(uint32_t index, const OpDescPtr &op_desc, cons
} else if (data_mode == "dynamic_aipp_conf") {
aipp_type = DYNAMIC_AIPP_NODE;
} else {
REPORT_INNER_ERROR("E19999", "Attr:%s data_mode:%s in op:%s(%s), model_id:%u, check invalid when DavinciModel %s",
ATTR_DATA_RELATED_AIPP_MODE.c_str(), data_mode.c_str(),
op_desc->GetName().c_str(), op_desc->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_AIPP_MODE_INVALID,
"The info of aipp releated info %s is invalid with index %u.", data_mode.c_str(), index);
return ACL_ERROR_GE_AIPP_MODE_INVALID;
@@ -2018,7 +2134,11 @@ Status DavinciModel::GetInputDescInfo(vector<InputOutputDescInfo> &input_descs,
void DavinciModel::CreateOutput(uint32_t index, const OpDescPtr &op_desc, InputOutputDescInfo &output,
uint32_t &format_result) {
/// netoutput input tensor desc
GE_IF_BOOL_EXEC(op_desc->GetInputDescPtr(index) == nullptr, GELOGE(FAILED, "OpDesc GetInputDescPtr is nullptr");
GE_IF_BOOL_EXEC(op_desc->GetInputDescPtr(index) == nullptr,
REPORT_INNER_ERROR("E19999", "input_desc index:%u in op:%s(%s) not exist, model_id:%u, "
"check invalid when DavinciModel %s", index,
op_desc->GetName().c_str(), op_desc->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(FAILED, "OpDesc GetInputDescPtr is nullptr");
return);
Format format = op_desc->GetInputDescPtr(index)->GetFormat();
GeShape shape = op_desc->GetInputDescPtr(index)->GetShape();
@@ -2108,6 +2228,8 @@ Status DavinciModel::CopyInputData(const InputData &input_data, bool device_data
const std::vector<DataBuffer> &blobs = input_data.blobs;
for (const auto &data : input_data_info_) {
if (data.first >= blobs.size()) {
REPORT_INNER_ERROR("E19999", "index:%u in input_data_info_ >= input_data.blobs.size:%zu, model_id:%u, "
"check invalid when DavinciModel %s", data.first, blobs.size(), model_id_, __FUNCTION__);
GELOGE(FAILED, "Blobs not match: blobs=%zu, tensor=%zu, index=%u, size=%ld, op_name(%s)", blobs.size(),
input_data_info_.size(), data.first, data.second.GetDataInfo().at(0).first,
data.second.GetOpName().c_str());
@@ -2257,8 +2379,12 @@ Status DavinciModel::SinkModelProfile() {
try {
reported_data = model_load_info.dump(kInteval, ' ', false, Json::error_handler_t::ignore);
} catch (std::exception &e) {
REPORT_INNER_ERROR("E19999", "Convert model_load_info JSON to string failed, model_id:%u, reason:%s, "
"when DavinciModel %s", model_id_, e.what(), __FUNCTION__);
GELOGE(FAILED, "Failed to convert JSON to string, reason: %s.", e.what());
} catch (...) {
REPORT_INNER_ERROR("E19999", "Convert model_load_info JSON to string failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(FAILED, "Failed to convert JSON to string.");
}
reported_data.append(",")
@@ -2293,8 +2419,12 @@ Status DavinciModel::SinkTimeProfile(const InputData &current_data) {
try {
reported_data = model_time_info.dump(kInteval, ' ', false, Json::error_handler_t::ignore);
} catch (std::exception &e) {
REPORT_INNER_ERROR("E19999", "Convert model_time_info JSON to string failed, model_id:%u, reason:%s, "
"when DavinciModel %s", model_id_, e.what(), __FUNCTION__);
GELOGE(FAILED, "Failed to convert JSON to string, reason: %s.", e.what());
} catch (...) {
REPORT_INNER_ERROR("E19999", "Convert model_time_info JSON to string failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(FAILED, "Failed to convert JSON to string.");
}
reported_data.append(",")
@@ -2361,6 +2491,9 @@ Status DavinciModel::CopyOutputData(uint32_t data_id, OutputData &output_data, r
output_data.index = data_id;
output_data.model_id = model_id_;
if (output_data.blobs.size() != output_data_info_.size()) {
REPORT_INNER_ERROR("E19999", "output_data.blobs.size:%zu != output_data_info.size:%zu, model_id:%u, "
"check invalid when DavinciModel %s",
output_data.blobs.size(), output_data_info_.size(), model_id_, __FUNCTION__);
GELOGE(FAILED, "Output data buffer num=%zu not equal model data num=%zu", output_data.blobs.size(),
output_data_info_.size());
return FAILED;
@@ -2370,6 +2503,8 @@ Status DavinciModel::CopyOutputData(uint32_t data_id, OutputData &output_data, r
size_t idx = 0;
for (const auto &output : output_data_info_) {
if (output.first >= blobs.size()) {
REPORT_INNER_ERROR("E19999", "index:%u in output_data_info_ >= output_data.blobs.size:%zu, model_id:%u, "
"check invalid when DavinciModel %s", output.first, blobs.size(), model_id_, __FUNCTION__);
GELOGE(FAILED, "Blobs not match: blobs=%zu, tensor=%zu, index=%u, size=%ld", blobs.size(),
input_data_info_.size(), output.first, output.second.GetDataInfo().at(0).first);
return FAILED;
@@ -2388,6 +2523,9 @@ Status DavinciModel::CopyOutputData(uint32_t data_id, OutputData &output_data, r
if (is_dynamic_) {
GELOGI("No need to check output data size.");
} else if (buffer.length < mem_size) {
REPORT_INNER_ERROR("E19999", "Buffer.length:%lu in output blob < mem_size:%lu in output_data_info, index:%u, "
"model_id:%u, check invalid when DavinciModel %s", buffer.length, mem_size, output.first,
model_id_, __FUNCTION__);
GELOGE(FAILED, "Tensor data size=%lu, buffer size=%lu", mem_size, buffer.length);
return FAILED;
} else if (buffer.length > mem_size) {
@@ -2424,6 +2562,10 @@ Status DavinciModel::InitOutputTensorInfo(const OpDescPtr &op_desc) {
GE_CHECK_NOTNULL(input_desc);
auto ret = TensorUtils::GetTensorSizeInBytes(*input_desc, size);
GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS,
REPORT_INNER_ERROR("E19999", "Get input TensorSize in op:%s(%s) failed, input_index:%zu, "
"model_id:%u when DavinciModel %s",
op_desc->GetName().c_str(), op_desc->GetType().c_str(), i,
model_id_, __FUNCTION__);
GELOGE(ret, "Get size from TensorDesc failed, op:%s, input id:%zu", op_desc->GetName().c_str(), i);
return ret);
const GeShape &shape = input_desc->GetShape();
@@ -2466,6 +2608,8 @@ Status DavinciModel::GenOutputTensorInfo(OutputData *output_data, vector<OutputT
for (size_t i = 0; i < output_buffer_size.size(); ++i) {
std::unique_ptr<uint8_t[]> data_buf(new (std::nothrow) uint8_t[output_buffer_size[i]]);
if (data_buf == nullptr) {
REPORT_INNER_ERROR("E19999", "New buffer failed, size:%ld, model_id:%u when DavinciModel %s",
output_buffer_size[i], model_id_, __FUNCTION__);
GELOGE(GE_GRAPH_MALLOC_FAILED, "Malloc buffer failed.");
return GE_GRAPH_MALLOC_FAILED;
}
@@ -2577,6 +2721,7 @@ void *DavinciModel::Run(DavinciModel *model) {
GELOGI("Model Run thread start, model_id:%u.", model_id);
rtError_t rt_ret = rtSetDevice(static_cast<int32_t>(device_id));
if (rt_ret != RT_ERROR_NONE) {

GELOGE(FAILED, "Model run rtsetdevice failed.");
return nullptr;
}
@@ -2953,6 +3098,8 @@ Status DavinciModel::MallocKnownArgs() {
if (total_args_size_ != 0) {
rt_ret = rtMalloc(&args_, total_args_size_, RT_MEMORY_HBM);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%u, ret: 0x%X when DavinciModel %s",
total_args_size_, rt_ret, __FUNCTION__);
GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -2961,6 +3108,8 @@ Status DavinciModel::MallocKnownArgs() {
if (total_hybrid_args_size_ != 0) {
rt_ret = rtMalloc(&hybrid_addrs_, total_hybrid_args_size_, RT_MEMORY_HBM);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%u, ret: 0x%X when DavinciModel %s",
total_hybrid_args_size_, rt_ret, __FUNCTION__);
GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -2970,6 +3119,8 @@ Status DavinciModel::MallocKnownArgs() {
GELOGI("Begin to allocate fixed addr.");
rt_ret = rtMalloc(&fixed_addrs_, total_fixed_addr_size_, RT_MEMORY_HBM);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%u, ret: 0x%X when DavinciModel %s",
total_hybrid_args_size_, rt_ret, __FUNCTION__);
GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -3213,6 +3364,9 @@ bool DavinciModel::CheckInputAndModelSize(const int64_t &input_size, const int64
}
// The input and model input size can not be exactly equal because user input is not definite.
if ((input_size + kDataMemAlignSizeCompare) < op_size) {
REPORT_INNER_ERROR("E19999", "input size:%ld from user add align:%u > input_op_size:%ld in model, model_id:%u, "
"check invalid when DavinciModel %s",
input_size, kDataMemAlignSizeCompare, op_size, model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_PARAM_INVALID,
"Input size [%ld] can not be smaller than op size [%ld] after 64-byte alignment", input_size, op_size);
return false;
@@ -3262,6 +3416,9 @@ Status DavinciModel::CopyModelData(const InputData &input_data, OutputData &outp
Status DavinciModel::UpdateIoTaskArgs(const std::map<uint32_t, ZeroCopyOffset> &data_info, bool is_input,
const vector<DataBuffer> &blobs, bool is_dynamic, const string &batch_label) {
if (blobs.size() != data_info.size()) {
REPORT_INNER_ERROR("E19999", "%s blob size:%ld from user != op_size:%ld in model, mode_id:%u"
"check invalid when DavinciModel %s", input_or_output.c_str(),
blobs.size(), data_info.size(), model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Verify %s data num failed: model requires %zu, but user actually feeds %zu",
is_input ? "input" : "output", data_info.size(), blobs.size());
return ACL_ERROR_GE_PARAM_INVALID;
@@ -3269,6 +3426,9 @@ Status DavinciModel::UpdateIoTaskArgs(const std::map<uint32_t, ZeroCopyOffset> &

for (const auto &data : data_info) {
if (data.first >= blobs.size()) { // check data index.
REPORT_INNER_ERROR("E19999", "%s data index:%u from model >= blobs.size:%zu from user, mode_id:%u"
"check invalid when DavinciModel %s", input_or_output.c_str(),
data.first, blobs.size(), model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_PARAM_INVALID,
"Verify %s data num failed: can not find No.%u data, because user only feeds %zu",
is_input ? "input" : "output", data.first, blobs.size());
@@ -3277,6 +3437,9 @@ Status DavinciModel::UpdateIoTaskArgs(const std::map<uint32_t, ZeroCopyOffset> &

const DataBuffer &buffer = blobs[data.first]; // index of data.
if (buffer.data == nullptr) {
REPORT_INNER_ERROR("E19999", "%s buffer from user is nullptr, index:%u, mode_id:%u"
"check invalid when DavinciModel %s", input_or_output.c_str(),
data.first, model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "data_buf.data is nullptr, index=%u", data.first);
return ACL_ERROR_GE_PARAM_INVALID;
}
@@ -3294,6 +3457,8 @@ Status DavinciModel::UpdateIoTaskArgs(const std::map<uint32_t, ZeroCopyOffset> &
GELOGI("[IMAS] Find addr %p need direct copy from user malloc input %p", basic_addr, buffer.data);
rtError_t rt_ret = rtMemcpy(basic_addr, data_size, buffer.data, buffer.length, RT_MEMCPY_DEVICE_TO_DEVICE);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtMemcpy failed, size:%lu, model_id:%u, when DavinciModel %s",
data_size, model_id_, __FUNCTION__);
GELOGE(rt_ret, "Non-zero copy data node copy failed");
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -3375,11 +3540,18 @@ Status DavinciModel::InitConstant(const OpDescPtr &op_desc) {
auto v_output_size = ModelUtils::GetOutputSize(op_desc);
auto v_output_addr = ModelUtils::GetOutputDataAddrs(runtime_param_, op_desc);
GE_IF_BOOL_EXEC(v_weights.empty() || v_output_size.empty() || v_output_addr.empty(),
REPORT_INNER_ERROR("E19999", "weight.size:%zu output_length.size:%zu output_addr.size:%zu in "
"op:%s(%s) has empty, model_id:%u, check invalid when DavinciModel %s",
v_weights.size(),v_output_size.size(), v_output_addr.size(),
op_desc->GetName().c_str(), op_desc->GetType().c_str() ,model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "const op:%s not set output", op_desc->GetName().c_str());
return PARAM_INVALID;);

GeTensor *tensor = const_cast<GeTensor *>(v_weights[0].get());
GE_IF_BOOL_EXEC(static_cast<size_t>(v_output_size[0]) < tensor->GetData().size(),
REPORT_INNER_ERROR("E19999", "Output size:%zu < weight size:%zu in op:%s(%s) model_id:%u, "
"check invalid when DavinciModel %s", v_output_size[0], tensor->GetData().size(),
op_desc->GetName().c_str(), op_desc->GetType().c_str() ,model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "output size:%ld less than weight data size:%zu", v_output_size[0],
tensor->GetData().size());
return PARAM_INVALID;);
@@ -3429,6 +3601,8 @@ Status DavinciModel::InitTbeHandle(const OpDescPtr &op_desc) {
auto kernel = ge_model_->GetTBEKernelStore().FindKernel(op_desc->GetName());
auto tbe_kernel = (kernel != nullptr) ? kernel : op_desc->TryGetExtAttr(OP_EXTATTR_NAME_TBE_KERNEL, TBEKernelPtr());
if (tbe_kernel == nullptr) {
REPORT_INNER_ERROR("E19999", "Get tbe_kernel for op:%s(%s) fail, model_id:%u, when DavinciModel %s",
op_desc->GetName().c_str(), op_desc->GetType().c_str() ,model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "TBE: %s can't find tvm bin file!", op_desc->GetName().c_str());
return INTERNAL_ERROR;
}
@@ -3455,6 +3629,9 @@ Status DavinciModel::InitTbeHandle(const OpDescPtr &op_desc) {
} else if (json_string == "RT_DEV_BINARY_MAGIC_ELF_AIVEC") {
binary.magic = RT_DEV_BINARY_MAGIC_ELF_AIVEC;
} else {
REPORT_INNER_ERROR("E19999", "Attr:%s value:%s in op:%s(%s), model_id:%u, check invalid when DavinciModel %s",
TVM_ATTR_NAME_MAGIC.c_str(), json_string.c_str(),
op_desc->GetName().c_str(), op_desc->GetType().c_str() ,model_id_, __FUNCTION__);
GELOGE(PARAM_INVALID, "TBE: Invalid parameter magic number! json: %s", json_string.c_str());
return PARAM_INVALID;
}
@@ -3544,6 +3721,11 @@ Status DavinciModel::InitStreamSwitch(const OpDescPtr &op_desc) {
GE_LOGI_IF(!ge::AttrUtils::GetListInt(op_desc, ATTR_NAME_ACTIVE_STREAM_LIST, active_stream_list),
"GetInt ACTIVE_STREAM_LIST failed.");
if (active_stream_list.size() != kTrueBranchStreamNum) {
REPORT_INNER_ERROR("E19999", "Attr:%s active_stream_list.size:%zu in op:%s(%s) != kTrueBranchStreamNum:%u, "
"model_id:%u, check invalid when DavinciModel %s",
ATTR_NAME_ACTIVE_STREAM_LIST.c_str(), active_stream_list.size(),
op_desc->GetName().c_str(), op_desc->GetType().c_str(),
kTrueBranchStreamNum, model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "Stream num of switch true branch must be %u.", kTrueBranchStreamNum);
return INTERNAL_ERROR;
}
@@ -3558,6 +3740,9 @@ Status DavinciModel::InitStreamSwitch(const OpDescPtr &op_desc) {
Status DavinciModel::InitStreamSwitchN(const OpDescPtr &op_desc) {
std::vector<uint32_t> active_stream_list;
if (!AttrUtils::GetListInt(op_desc, ATTR_NAME_ACTIVE_STREAM_LIST, active_stream_list)) {
REPORT_INNER_ERROR("E19999", "Get Attr:%s from op:%s(%s) fail, model_id:%u, when DavinciModel %s",
ATTR_NAME_ACTIVE_STREAM_LIST.c_str(),
op_desc->GetName().c_str(), op_desc->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "StreamSwitchNOp get attr ACTIVE_STREAM failed.");
return INTERNAL_ERROR;
}
@@ -3569,6 +3754,9 @@ Status DavinciModel::InitStreamSwitchN(const OpDescPtr &op_desc) {

uint32_t batch_num = 0;
if (!AttrUtils::GetInt(op_desc, ATTR_NAME_BATCH_NUM, batch_num)) {
REPORT_INNER_ERROR("E19999", "Get Attr:%s from op:%s(%s) fail, model_id:%u, when DavinciModel %s",
ATTR_NAME_BATCH_NUM.c_str(),
op_desc->GetName().c_str(), op_desc->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(FAILED, "Failed to get attr ATTR_NAME_BATCH_NUM, StreamSwitchN: %s.", op_desc->GetName().c_str());
return FAILED;
}
@@ -3586,6 +3774,9 @@ Status DavinciModel::SetDynamicBatchInfo(const OpDescPtr &op_desc, uint32_t batc
std::vector<int64_t> batch_shape;
const std::string attr_name = ATTR_NAME_PRED_VALUE + "_" + std::to_string(i);
if (!AttrUtils::GetListInt(op_desc, attr_name, batch_shape)) {
REPORT_INNER_ERROR("E19999", "Get Attr:%s from op:%s(%s) fail, model_id:%u, when DavinciModel %s",
attr_name.c_str(),
op_desc->GetName().c_str(), op_desc->GetType().c_str(), model_id_, __FUNCTION__);
GELOGE(FAILED, "Get attr ATTR_NAME_PRED_VALUE failed, Node: %s", op_desc->GetName().c_str());
batch_info_.clear();
return FAILED;
@@ -3714,6 +3905,8 @@ Status DavinciModel::NnExecute(rtStream_t stream, bool async_mode, const InputDa
// Add active entry stream for special env.
Status DavinciModel::AddHeadStream() {
if (active_stream_list_.empty()) {
REPORT_INNER_ERROR("E19999", "active_stream_list is empty in model:%u, check invalid when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(INTERNAL_ERROR, "Active stream is empty, stream list size: %zu, stream indication size: %zu.",
stream_list_.size(), active_stream_indication_.size());
return INTERNAL_ERROR;
@@ -3733,6 +3926,8 @@ Status DavinciModel::AddHeadStream() {
for (auto s : active_stream_list_) {
std::shared_ptr<CpuTaskActiveEntry> active_entry = MakeShared<CpuTaskActiveEntry>(rt_head_stream_);
if (active_entry == nullptr) {
REPORT_INNER_ERROR("E19999", "New CpuTaskActiveEntry failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(MEMALLOC_FAILED, "Make CpuTaskActiveEntry task failed.");
return MEMALLOC_FAILED;
}
@@ -3864,6 +4059,8 @@ Status DavinciModel::TransAllVarData(ComputeGraphPtr &graph, uint32_t graph_id)
rtContext_t ctx = nullptr;
rtError_t rt_ret = rtCtxGetCurrent(&ctx);
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtCtxGetCurrent failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(RT_FAILED, "Failed to get current context, error_code is: 0x%X.", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
@@ -3894,6 +4091,7 @@ void DavinciModel::SetDataDumperArgs(const ComputeGraphPtr &graph, const map<str
int32_t device_id = 0;
rtError_t rt_ret = rtGetDevice(&device_id);
if (rt_ret != RT_ERROR_NONE || device_id < 0) {
REPORT_CALL_ERROR("E19999", "Call rtGetDevice failed, model_id:%u, when DavinciModel %s", model_id_, __FUNCTION__);
GELOGE(RT_FAILED, "Call rtGetDevice failed, ret = 0x%X, device_id = %d.", rt_ret, device_id);
return;
}
@@ -3956,6 +4154,10 @@ Status DavinciModel::InitOrigInputInfo(uint32_t index, const OpDescPtr &op_desc)
GELOGI("origin input str: %s.", input.c_str());
std::vector<std::string> infos = ge::StringUtils::Split(input, ':');
if (infos.size() != kAippInfoNum) {
REPORT_INNER_ERROR("E19999", "Attr:%s in op:%s(%s), aipp input size:%zu != kAippInfoNum:%u, model_id:%u, "
"check invalid when DavinciModel %s", ATTR_NAME_AIPP_INPUTS.c_str(),
op_desc->GetName().c_str(), op_desc->GetType().c_str(), infos.size(), kAippInfoNum,
model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_AIPP_MODE_INVALID, "origin input str is invalid[%zu, %u].", infos.size(), kAippInfoNum);
return ACL_ERROR_GE_AIPP_MODE_INVALID;
}
@@ -3976,6 +4178,8 @@ Status DavinciModel::InitOrigInputInfo(uint32_t index, const OpDescPtr &op_desc)
Status DavinciModel::GetOrigInputInfo(uint32_t index, OriginInputInfo &orig_input_info) const {
const auto it = orig_input_info_.find(index);
if (it == orig_input_info_.end()) {
REPORT_INNER_ERROR("E19999", "Get index:%u from orig_input_info_ fail, model_id:%u, when DavinciModel %s",
index, model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_AIPP_NOT_EXIST, "There is not AIPP related with index %u.", index);
return ACL_ERROR_GE_AIPP_NOT_EXIST;
}
@@ -3992,6 +4196,9 @@ void DavinciModel::ParseAIPPInfo(std::string in_out_info, InputOutputDims &dims_
GELOGI("ParseAIPPInfo: origin str: %s", in_out_info.c_str());
std::vector<std::string> infos = ge::StringUtils::Split(in_out_info, ':');
if (infos.size() != kAippInfoNum) {
REPORT_INNER_ERROR("E19999", "in_out_info:%s size:%zu != kAippInfoNum:%u, model_id:%u, "
"check invalid when DavinciModel %s", in_out_info.c_str(), infos.size(), kAippInfoNum,
model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_AIPP_MODE_INVALID, "origin input str is invalid[%zu, %u].", infos.size(), kAippInfoNum);
return;
}
@@ -4054,7 +4261,13 @@ Status DavinciModel::GetAllAippInputOutputDims(uint32_t index, vector<InputOutpu
vector<InputOutputDims> &output_dims) const {
const auto it = aipp_dims_info_.find(index);
if (it == aipp_dims_info_.end()) {
<<<<<<< Updated upstream
GELOGE(ACL_ERROR_GE_AIPP_NOT_EXIST, "There is not AIPP related with index %u.", index);
=======
REPORT_INNER_ERROR("E19999", "Get index:%u from aipp_dims_info_ fail, model_id:%u, when DavinciModel %s",
index, model_id_, __FUNCTION__);
GELOGE(ACL_ERROR_GE_AIPP_NOT_EXIST, "there is not AIPP related with index %u.", index);
>>>>>>> Stashed changes
return ACL_ERROR_GE_AIPP_NOT_EXIST;
}

@@ -4085,6 +4298,8 @@ Status DavinciModel::InitL1DataDumperArgs() {
if (rtDumpAddrSet(rt_model_handle_, l1_fusion_addr_, kDumpL1FusionOpMByteSize, kDumpFlagOfL1Fusion) !=
RT_ERROR_NONE) {
// l1_fusion_addr_ will be free when DavinciModel destruct
REPORT_CALL_ERROR("E19999", "Call rtDumpAddrSet failed, model_id:%u, when DavinciModel %s",
model_id_, __FUNCTION__);
GELOGE(FAILED, "Call rtDumpAddrSet failed");
return FAILED;
}


+ 15
- 0
ge/graph/manager/graph_caching_allocator.cc View File

@@ -111,6 +111,7 @@ Status CachingAllocator::Initialize(uint32_t device_id) {
}
auto bin_ptr = new (std::nothrow) BlockBin(BlockComparator);
if (bin_ptr == nullptr) {
REPORT_CALL_ERROR("E19999", "New BlockBin fail, device_id:%u, when CachingAllocator %s", device_id, __FUNCTION__);
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Alloc BlockBin failed.");
return ACL_ERROR_GE_MEMORY_ALLOCATION;
}
@@ -146,6 +147,8 @@ uint8_t *CachingAllocator::Malloc(size_t size, uint8_t *org_ptr, uint32_t device
ptr = block->ptr;
}
if (ptr == nullptr) {
REPORT_INNER_ERROR("E19999", "FindFreeBlock fail, size:%zu, device_id:%u, when CachingAllocator %s",
size, device_id, __FUNCTION__);
GELOGE(FAILED, "Malloc failed device id = %u, size= %zu", device_id, size);
}
return ptr;
@@ -154,6 +157,8 @@ uint8_t *CachingAllocator::Malloc(size_t size, uint8_t *org_ptr, uint32_t device
Status CachingAllocator::Free(uint8_t *ptr, uint32_t device_id) {
GELOGI("Free device id = %u", device_id);
if (ptr == nullptr) {
REPORT_INNER_ERROR("E19999", "Param ptr is nullptr, device_id:%u, check invalid when CachingAllocator %s",
device_id, __FUNCTION__);
GELOGE(PARAM_INVALID, "Invalid memory pointer");
return ge::PARAM_INVALID;
}
@@ -161,6 +166,8 @@ Status CachingAllocator::Free(uint8_t *ptr, uint32_t device_id) {
std::lock_guard<std::recursive_mutex> lock(mutex_);
auto it = allocated_blocks_.find(ptr);
if (it == allocated_blocks_.end()) {
REPORT_INNER_ERROR("E19999", "Param ptr not allocated before, device_id:%u, check invalid when CachingAllocator %s",
device_id, __FUNCTION__);
GELOGE(PARAM_INVALID, "Invalid memory pointer");
return ge::PARAM_INVALID;
}
@@ -218,6 +225,8 @@ Block *CachingAllocator::FindFreeBlock(size_t size, uint8_t *org_ptr, uint32_t d
Block key(device_id, size, org_ptr);
BlockBin *bin = GetBlockBin(size);
if (bin == nullptr) {
REPORT_INNER_ERROR("E19999", "GetBlockBin fail, size:%zu, device_id:%u, when CachingAllocator %s",
size, device_id, __FUNCTION__);
GELOGE(ge::FAILED, "Get block bin failed size = %zu", size);
return nullptr;
}
@@ -249,6 +258,8 @@ Block *CachingAllocator::SplitBlock(Block *block, size_t size, BlockBin &bin, ui
Block *remaining = block;
Block *new_block = new (std::nothrow) Block(device_id, size, &bin, block->ptr);
if (new_block == nullptr) {
REPORT_CALL_ERROR("E19999", "New Block fail, size:%zu, device_id:%u, when CachingAllocator %s",
size, device_id, __FUNCTION__);
GELOGE(ge::FAILED, "Alloc block failed size = %zu", size);
return block;
}
@@ -293,11 +304,15 @@ Status CachingAllocator::TryExtendCache(size_t size, uint32_t device_id) {
Status CachingAllocator::AddToBlockBin(uint8_t *ptr, size_t size, uint32_t device_id) {
BlockBin *bin = GetBlockBin(size);
if (bin == nullptr) {
REPORT_INNER_ERROR("E19999", "GetBlockBin fail, size:%zu, device_id:%u, when CachingAllocator %s",
size, device_id, __FUNCTION__);
GELOGE(ge::FAILED, "Get block bin failed size = %zu", size);
return ge::FAILED;
}
Block *block = new (std::nothrow) Block(device_id, size, bin, nullptr);
if (block == nullptr) {
REPORT_CALL_ERROR("E19999", "New Block fail, size:%zu, device_id:%u, when CachingAllocator %s",
size, device_id, __FUNCTION__);
GELOGE(ge::FAILED, "Alloc block failed size = %zu", size);
return ge::FAILED;
}


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