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fix model delete segmentation fault and clean code.

This commit is contained in:
wangpingan2 2023-03-07 11:34:57 +08:00
parent 8559dd7572
commit 9a057d39f7
3 changed files with 35 additions and 32 deletions
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4
mindspore/lite/src/litert/lite_session.cc
View File

@ -1863,7 +1863,11 @@ const char *lite::LiteSession::LoadModelByPath(const std::string &file, mindspor
char *lite_buf = nullptr;
auto buf_model_type = LoadModelByBuff(model_buf, buf_size, &lite_buf, size, model_type);
if (buf_model_type == mindspore::ModelType::kUnknownType || lite_buf == nullptr) {
if (use_mmap) {
lite::UnmapMmapBuffer(const_cast<void *>(static_cast<const void *>(model_buf)), buf_size);
} else {
delete[] model_buf;
}
model_buf = nullptr;
return nullptr;
}

27
mindspore/lite/src/litert/runtime_packed_node_pass.cc
View File

@ -108,7 +108,13 @@ void PackedNodePass::Run(Model *model, const std::vector<Tensor *> &tensors) {
pack_info->weight_sums_index_ = node->input_indices_.back();
node->input_indices_.pop_back();
if (!(reinterpret_cast<lite::LiteModel *>(model)->keep_model_buf())) {
CopyWeightBiasSumsTensor(tensors);
auto index = static_cast<size_t>(pack_info->weight_sums_index_);
if (index > tensors.size()) {
MS_LOG(ERROR) << "weight sums tensor index is error.";
return;
}
auto tensor = tensors[index];
CopyWeightBiasSumsTensor(tensor);
}
}
@ -116,18 +122,12 @@ void PackedNodePass::Run(Model *model, const std::vector<Tensor *> &tensors) {
}
}
void PackedNodePass::CopyWeightBiasSumsTensor(const std::vector<Tensor *> &tensors) {
for (auto &pack_info : node_pack_info_map_) {
auto index = static_cast<size_t>(pack_info.second->weight_sums_index_);
if (index > tensors.size()) {
return;
}
auto tensor = tensors[index];
void PackedNodePass::CopyWeightBiasSumsTensor(Tensor *tensor) {
if (!tensor->IsConst() && tensor->data() != nullptr) {
return;
}
if (!tensor->IsConst() || tensor->own_data()) {
continue;
return;
}
if (tensor->data_type() == kObjectTypeTensorType) {
MS_ASSERT(tensor->data() == nullptr);
@ -143,10 +143,9 @@ void PackedNodePass::CopyWeightBiasSumsTensor(const std::vector<Tensor *> &tenso
copy_tensor->set_data(nullptr);
delete copy_tensor;
}
}
}
void MatmulDynamicSdotInt8Cpu(void *src, void *dst, int row, int col, bool transpose) {
void MatmulDynamicSdotInt8Unpack(void *src, void *dst, int row, int col, bool transpose) {
auto src_int8 = static_cast<int8_t *>(src);
auto dst_int8 = static_cast<int8_t *>(dst);
if (!transpose) {
@ -182,7 +181,7 @@ void MatmulDynamicSdotInt8Cpu(void *src, void *dst, int row, int col, bool trans
}
}
void MatmulFp32BaseCpu(void *src, void *dst, int row, int col, bool transpose) {
void MatmulFp32BaseUnpack(void *src, void *dst, int row, int col, bool transpose) {
if (!transpose) {
// RowMajor2Row8MajorParallel
auto src_r = static_cast<float *>(src);
@ -238,12 +237,12 @@ RecoveryWeightFunc GetRecoveryWeightFunc(const int quant_type, const TypeId data
const std::string &cpu_option) {
if (cpu_option == kArm64SimdDot && node_type == schema::PrimitiveType_MatMulFusion &&
quant_type == schema::QuantType_QUANT_DYNAMIC && data_type == kNumberTypeInt8) {
return MatmulDynamicSdotInt8Cpu;
return MatmulDynamicSdotInt8Unpack;
}
if (cpu_option == kArm64SimdDot && node_type == schema::PrimitiveType_MatMulFusion &&
data_type == kNumberTypeFloat32) {
return MatmulFp32BaseCpu;
return MatmulFp32BaseUnpack;
}
return nullptr;
}

2
mindspore/lite/src/litert/runtime_packed_node_pass.h
View File

@ -52,7 +52,7 @@ class PackedNodePass {
return this->node_pack_info_map_[node_name];
}
void Run(Model *model, const std::vector<Tensor *> &tensors);
void CopyWeightBiasSumsTensor(const std::vector<Tensor *> &tensors);
void CopyWeightBiasSumsTensor(Tensor *tensor);
protected:
void AddNodePackInfo(const std::string &node_name, PackInfo *pack_info) {