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!18575 [LITE] fix memory leak 

Merge pull request !18575 from yefeng/125-fix_memory_leak
This commit is contained in:
i-robot 2021-06-21 14:33:20 +08:00 committed by Gitee
parent 504ffc6292 cea1789d94
commit 205e368b73
3 changed files with 9 additions and 10 deletions
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14
mindspore/lite/tools/converter/legacy_optimizer/graph/infershape_pass.cc
View File

@ -40,7 +40,9 @@ void FreeTensors(std::vector<Tensor *> *input_tensors, std::vector<Tensor *> *ou
return;
}
for (auto &tensor : *input_tensors) {
tensor->set_data(nullptr);
if (tensor->data_type() != kObjectTypeString && tensor->data_type() != kObjectTypeTensorType) {
tensor->set_data(nullptr);
}
delete tensor;
tensor = nullptr;
}
@ -48,7 +50,9 @@ void FreeTensors(std::vector<Tensor *> *input_tensors, std::vector<Tensor *> *ou
return;
}
for (auto &tensor : *output_tensors) {
tensor->set_data(nullptr);
if (tensor->data_type() != kObjectTypeString && tensor->data_type() != kObjectTypeTensorType) {
tensor->set_data(nullptr);
}
delete tensor;
tensor = nullptr;
}
@ -130,12 +134,6 @@ void ConvertOtherTensor(MetaGraphT *graph, uint32_t index, bool *convert_succ, s
lite_tensors->emplace_back(lite_tensor.release());
return;
}
auto ret = lite_tensor->MallocData();
if (ret != RET_OK) {
MS_LOG(ERROR) << "Malloc tensor data failed";
*convert_succ = false;
return;
}
if (lite_tensor->root_tensor() != nullptr) {
lite_tensor->root_tensor()->set_data(tensorT->data.data());
} else {

1
mindspore/lite/tools/optimizer/fusion/conv_transform_fusion.cc
View File

@ -209,6 +209,7 @@ void ConvTransformFusion::GenNewConvTensor(const FuncGraphPtr &func_graph, const
CalNewBiasTensor(bias_data, kernel_num, bias_flag, trans_scale, trans_bias);
if (!bias_flag) {
auto bias_node = AddNewBiasNode(bias_data, func_graph, kernel_num, weight_tensor);
delete[] bias_data;
bias_node->set_name(conv_node->fullname_with_scope() + "_bias");
conv_node->add_input(bias_node);
}

4
mindspore/lite/tools/optimizer/graph/node_infershape.cc
View File

@ -452,7 +452,7 @@ STATUS NodeInferShape::ConvertToLiteTensor(const std::vector<lite::DataInfo> &da
return RET_ERROR;
}
} else {
auto tensor_data = new (std::nothrow) char[tensor_size];
auto tensor_data = reinterpret_cast<char *>(malloc(tensor_size));
if (tensor_data == nullptr) {
MS_LOG(ERROR) << "tensor_data is nullptr";
delete tensor;
@ -460,7 +460,7 @@ STATUS NodeInferShape::ConvertToLiteTensor(const std::vector<lite::DataInfo> &da
}
if (memcpy_s(tensor_data, tensor_size, data_info.data_.data(), tensor_size) != EOK) {
delete tensor;
delete[](tensor_data);
free(tensor_data);
MS_LOG(ERROR) << "memcpy error: ";
return lite::RET_ERROR;
}