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[Gna] [coverity]fixes (#17122)

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* [Coverity] Fix: CID 1502468 - Not restoring ostream format

* [Coverity] Fix: CID 1502524 - Dereference null return value

* [Coverity] Fix: CID 1509007 - Uncaught exception

* [Coverity] Fix: CID 1505779, 1505781, 1505783 and 1505786 - Dereference null return value

* [Coverity] Fix: CID 1502503 - Using invalid iterator

* Revert "[Coverity] Fix: CID 1502524 - Dereference null return value"

This reverts commit b605a493ae.
This commit is contained in:
Tomasz Adamowicz 2023-04-24 15:04:30 +02:00 committed by GitHub
parent f8522a6ea1
commit 86ed1e93b6
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 4 additions and 2 deletions
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2
src/plugins/intel_gna/src/backend/am_intel_dnn.cpp
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@ -722,6 +722,7 @@ void PrintTensors(std::ofstream& out, T tensors) {
}
void AMIntelDNN::PrintOffset(std::ofstream& out, const std::string& type, void* ptr) {
auto flags = out.flags();
const auto queue = memory->getQueue(ptr);
std::string typeOfRegion = "UNKNOWN_QUEUE";
auto offset = std::numeric_limits<uint32_t>::max();
@ -732,6 +733,7 @@ void AMIntelDNN::PrintOffset(std::ofstream& out, const std::string& type, void*
out << "<memory_region_type> " << typeOfRegion << "\n";
out << "<" << type << "_address> "
<< "0x" << std::setfill('0') << std::setw(8) << std::hex << offset << "\n";
out.flags(flags);
}
void AMIntelDNN::WriteDnnText(const char* filename, intel_dnn_number_type_t logging_precision) {

2
src/plugins/intel_gna/src/layers/gna_layer_info.hpp
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@ -352,7 +352,7 @@ public:
bool is_gather() const noexcept {
return isOfType("gather");
}
bool is_fq_non_sensitive() const noexcept {
bool is_fq_non_sensitive() const {
return isPermute() || is_gather() || isNonFunctional();
}
bool isPooling() const noexcept {

2
src/plugins/intel_gna/src/scale_factor_helper.cpp
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@ -73,7 +73,7 @@ static void ApplyScaleFactorsPerInput(const std::map<std::string, float>& per_in
return sf.first == input_desc.name || input_desc.tensor_names.count(sf.first);
});
if (input_it == inputs.end()) {
if (input_it == inputs.Get().end()) {
IE_THROW() << "Given scale factor for invalid input: " << sf.first;
}
::log::warning() << "Using input scale factor: " << sf.second