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-rw-r--r--compiler/luci/export/src/CircleExportMetadata.cpp6
-rw-r--r--compiler/luci/import/src/CircleImportMetadata.cpp2
-rw-r--r--compiler/luci/partition/src/PartitionIRDump.cpp2
-rw-r--r--compiler/luci/pass/src/CircleQuantizer.cpp2
-rw-r--r--compiler/luci/pass/src/CopyQuantParamPass.cpp4
-rw-r--r--compiler/luci/pass/src/SubstituteSqueezeToReshapePass.cpp2
-rw-r--r--compiler/luci/pass/src/helpers/LayerInfoMap.cpp2
-rw-r--r--compiler/luci/service/src/ChangeOutputs.cpp2
-rw-r--r--compiler/luci/service/src/ShapeInfer_StridedSlice.cpp2
-rw-r--r--compute/cker/include/cker/operation/Helper/MatmulBCast.h6
-rw-r--r--runtime/libs/benchmark/src/Result.cpp6
-rw-r--r--runtime/onert/backend/cpu/KernelGenerator.cc4
-rw-r--r--runtime/onert/backend/gpu_cl/KernelGenerator.cc4
-rw-r--r--runtime/onert/core/src/compiler/StaticShapeInferer.cc2
-rw-r--r--runtime/onert/core/src/dumper/dot/OperandNode.cc2
15 files changed, 24 insertions, 24 deletions
diff --git a/compiler/luci/export/src/CircleExportMetadata.cpp b/compiler/luci/export/src/CircleExportMetadata.cpp
index 017002f5c..25d0168ec 100644
--- a/compiler/luci/export/src/CircleExportMetadata.cpp
+++ b/compiler/luci/export/src/CircleExportMetadata.cpp
@@ -56,7 +56,7 @@ const std::vector<uint8_t> CircleExportMetadata::encoded_execution_plan_table()
const auto id = kv.first;
write_u32(data, id);
- const auto plan_vector = kv.second;
+ const auto &plan_vector = kv.second;
const auto size = plan_vector.size();
write_u32(data, size);
@@ -81,7 +81,7 @@ const std::vector<uint8_t> CircleExportMetadata::encoded_source_table(void)
const auto id = kv.first;
write_u32(data, id);
- const auto origin_name = kv.second;
+ const auto &origin_name = kv.second;
const auto length = origin_name.length();
write_u32(data, length + 1); // name + '\0
@@ -107,7 +107,7 @@ const std::vector<uint8_t> CircleExportMetadata::encoded_op_table(void)
const auto id = kv.first;
write_u32(data, id);
- const auto origins = kv.second;
+ const auto &origins = kv.second;
const auto node_num = origins.size();
write_u32(data, node_num);
diff --git a/compiler/luci/import/src/CircleImportMetadata.cpp b/compiler/luci/import/src/CircleImportMetadata.cpp
index 9c1fe7356..fbdea8a7c 100644
--- a/compiler/luci/import/src/CircleImportMetadata.cpp
+++ b/compiler/luci/import/src/CircleImportMetadata.cpp
@@ -236,7 +236,7 @@ const OriginTable CircleImportMetadata::origin_table(void)
std::vector<std::shared_ptr<CircleNodeOrigin>> origins;
for (auto source_id : source_ids)
{
- const auto source_name = _source_table.at(source_id);
+ const auto &source_name = _source_table.at(source_id);
origins.push_back(single_origin(source_id, source_name));
}
diff --git a/compiler/luci/partition/src/PartitionIRDump.cpp b/compiler/luci/partition/src/PartitionIRDump.cpp
index 0fabfc416..5a78d99c0 100644
--- a/compiler/luci/partition/src/PartitionIRDump.cpp
+++ b/compiler/luci/partition/src/PartitionIRDump.cpp
@@ -56,7 +56,7 @@ void dump(std::ostream &os, const PGroups *pgroups)
for (auto it = pgroups->node2group.begin(); it != pgroups->node2group.end(); ++it)
{
auto node = it->first;
- auto group = it->second;
+ auto &group = it->second;
os << " Node: " << node << "(" << luci::opcode_name(node) << "," << node->name()
<< "): " << group << std::endl;
}
diff --git a/compiler/luci/pass/src/CircleQuantizer.cpp b/compiler/luci/pass/src/CircleQuantizer.cpp
index 9039a839f..6db26d179 100644
--- a/compiler/luci/pass/src/CircleQuantizer.cpp
+++ b/compiler/luci/pass/src/CircleQuantizer.cpp
@@ -352,7 +352,7 @@ void CircleQuantizer::quantize(loco::Graph *g) const
// Check dtype/granularity of layer params
for (auto layer_param : layer_params)
{
- auto name = layer_param->name;
+ const auto &name = layer_param->name;
if (!in_array(to_lower_case(layer_param->dtype), fakeq_supported_output_model_dtype))
{
throw std::runtime_error("Unsupported dtype in " + name + ". List of supported dtype: " +
diff --git a/compiler/luci/pass/src/CopyQuantParamPass.cpp b/compiler/luci/pass/src/CopyQuantParamPass.cpp
index 9b1bb0ea9..0984fe85c 100644
--- a/compiler/luci/pass/src/CopyQuantParamPass.cpp
+++ b/compiler/luci/pass/src/CopyQuantParamPass.cpp
@@ -59,8 +59,8 @@ bool CopyQuantParamPass::run(loco::Graph *g)
for (uint32_t i = 0; i < _src_tensors.size(); i++)
{
- auto src = _src_tensors[i];
- auto dst = _dst_tensors[i];
+ auto &src = _src_tensors[i];
+ auto &dst = _dst_tensors[i];
auto nodes = get_src_dst(src, dst);
if (not nodes.src)
diff --git a/compiler/luci/pass/src/SubstituteSqueezeToReshapePass.cpp b/compiler/luci/pass/src/SubstituteSqueezeToReshapePass.cpp
index df7266df9..9bc764f92 100644
--- a/compiler/luci/pass/src/SubstituteSqueezeToReshapePass.cpp
+++ b/compiler/luci/pass/src/SubstituteSqueezeToReshapePass.cpp
@@ -119,7 +119,7 @@ bool substitute_squeeze_to_reshape(luci::CircleSqueeze *squeeze)
if (squeeze->shape_status() != luci::ShapeStatus::VALID)
return false;
- auto squeeze_dims = squeeze->squeeze_dims();
+ auto &squeeze_dims = squeeze->squeeze_dims();
if (not is_valid_input(input, squeeze_dims))
throw std::runtime_error("Invalid values in squeeze_dims: " + squeeze->name());
diff --git a/compiler/luci/pass/src/helpers/LayerInfoMap.cpp b/compiler/luci/pass/src/helpers/LayerInfoMap.cpp
index ac07f9ec9..37d8e18e9 100644
--- a/compiler/luci/pass/src/helpers/LayerInfoMap.cpp
+++ b/compiler/luci/pass/src/helpers/LayerInfoMap.cpp
@@ -145,7 +145,7 @@ LayerInfoMap layer_info_map(loco::Graph *g, std::vector<LayerInfo> &layers_info)
for (auto &&info : layers_info)
{
- auto name = info.name;
+ auto &name = info.name;
bool found = false;
for (auto node : loco::active_nodes(loco::output_nodes(g)))
{
diff --git a/compiler/luci/service/src/ChangeOutputs.cpp b/compiler/luci/service/src/ChangeOutputs.cpp
index 1f8000061..65175530c 100644
--- a/compiler/luci/service/src/ChangeOutputs.cpp
+++ b/compiler/luci/service/src/ChangeOutputs.cpp
@@ -72,7 +72,7 @@ void change_outputs(loco::Graph *graph, const std::vector<std::string> &new_outp
auto output = luci::output_node(graph, out); // output is CircleOutput
assert(output != nullptr);
- auto node_name = new_outputs.at(out);
+ auto &node_name = new_outputs.at(out);
auto node = named_nodes[node_name];
assert(node != nullptr);
diff --git a/compiler/luci/service/src/ShapeInfer_StridedSlice.cpp b/compiler/luci/service/src/ShapeInfer_StridedSlice.cpp
index 33490db19..5a22da319 100644
--- a/compiler/luci/service/src/ShapeInfer_StridedSlice.cpp
+++ b/compiler/luci/service/src/ShapeInfer_StridedSlice.cpp
@@ -398,7 +398,7 @@ loco::TensorShape infer_output_shape(const CircleStridedSlice *node)
StridedSliceContext op_context(node);
auto op_params = BuildStridedSliceParams(&op_context);
- auto effective_input_shape = op_context.effective_input_shape;
+ auto &effective_input_shape = op_context.effective_input_shape;
std::vector<int64_t> output_shape_vector;
for (int32_t idx = effective_input_shape.rank() - 1; idx >= 0; --idx)
diff --git a/compute/cker/include/cker/operation/Helper/MatmulBCast.h b/compute/cker/include/cker/operation/Helper/MatmulBCast.h
index b80ccc0d0..b7d639433 100644
--- a/compute/cker/include/cker/operation/Helper/MatmulBCast.h
+++ b/compute/cker/include/cker/operation/Helper/MatmulBCast.h
@@ -62,13 +62,13 @@ public:
if (!_batch_bcast->IsValid())
return;
- auto x_reshaped = _batch_bcast->x_reshape();
- auto y_reshaped = _batch_bcast->y_reshape();
+ const auto &x_reshaped = _batch_bcast->x_reshape();
+ const auto &y_reshaped = _batch_bcast->y_reshape();
auto output_shape = _batch_bcast->output_shape();
_x_batch_size = std::accumulate(x_reshaped.cbegin(), x_reshaped.cend(), INT32_C(1),
std::multiplies<int32_t>());
- _y_batch_size = std::accumulate(x_reshaped.cbegin(), x_reshaped.cend(), INT32_C(1),
+ _y_batch_size = std::accumulate(y_reshaped.cbegin(), y_reshaped.cend(), INT32_C(1),
std::multiplies<int32_t>());
_output_shape.ReplaceWith(output_shape.size(), output_shape.data());
_output_batch_size = _output_shape.FlatSize();
diff --git a/runtime/libs/benchmark/src/Result.cpp b/runtime/libs/benchmark/src/Result.cpp
index 04925f4d2..8c1e2d2ea 100644
--- a/runtime/libs/benchmark/src/Result.cpp
+++ b/runtime/libs/benchmark/src/Result.cpp
@@ -157,16 +157,16 @@ namespace benchmark
Result::Result(const Phases &phases)
{
- const auto option = phases.option();
+ const auto &option = phases.option();
{
for (int i = PhaseEnum::MODEL_LOAD; i <= PhaseEnum::PREPARE; ++i)
{
- auto phase = phases.at(gPhaseStrings[i]);
+ const auto &phase = phases.at(gPhaseStrings[i]);
time[i][FigureType::MEAN] = averageTimeMs(phase);
}
int i = PhaseEnum::EXECUTE;
- auto exec_phase = phases.at(gPhaseStrings[i]);
+ const auto &exec_phase = phases.at(gPhaseStrings[i]);
time[i][FigureType::MEAN] = averageTimeMs(exec_phase);
time[i][FigureType::MAX] = maxTimeMs(exec_phase);
time[i][FigureType::MIN] = minTimeMs(exec_phase);
diff --git a/runtime/onert/backend/cpu/KernelGenerator.cc b/runtime/onert/backend/cpu/KernelGenerator.cc
index d462daf5c..dff54c1de 100644
--- a/runtime/onert/backend/cpu/KernelGenerator.cc
+++ b/runtime/onert/backend/cpu/KernelGenerator.cc
@@ -307,7 +307,7 @@ void KernelGenerator::visit(const ir::operation::Conv2D &node)
const auto stride = node.param().stride;
const auto activation = node.param().activation;
- const auto param_padding = node.param().padding;
+ const auto &param_padding = node.param().padding;
const auto dilation = node.param().dilation;
auto fn = std::make_unique<ops::ConvolutionLayer>();
@@ -629,7 +629,7 @@ void KernelGenerator::visit(const ir::operation::Einsum &node)
for (const auto &ifm_idx : node.getInputs())
input_tensors.emplace_back(_tensor_reg->getPortableTensor(ifm_idx));
- const auto equation = node.param().equation;
+ const auto &equation = node.param().equation;
auto fn = std::make_unique<ops::EinsumLayer>();
diff --git a/runtime/onert/backend/gpu_cl/KernelGenerator.cc b/runtime/onert/backend/gpu_cl/KernelGenerator.cc
index 31d3134e6..de8d3b463 100644
--- a/runtime/onert/backend/gpu_cl/KernelGenerator.cc
+++ b/runtime/onert/backend/gpu_cl/KernelGenerator.cc
@@ -110,7 +110,7 @@ void KernelGenerator::get_operation(FunctionMap &Functions)
absl::Status KernelGenerator::readConstTensor(const ir::OperandIndex &index,
tflite::gpu::TensorOrScalar *param)
{
- const auto shape = _ctx.at(index).shape();
+ const auto &shape = _ctx.at(index).shape();
if (shape.rank() == 0 && shape.num_elements() == 1)
{
tflite::gpu::Tensor<tflite::gpu::Scalar, tflite::gpu::DataType::FLOAT32> tensor;
@@ -514,7 +514,7 @@ void KernelGenerator::visit(const ir::operation::DepthwiseConv2D &node)
{
std::unique_ptr<tflite::gpu::GPUOperation> gpu_op_1;
tflite::gpu::OperationDef op_def_1;
- const auto shape = _ctx.at(ofm_index).shape();
+ const auto &shape = _ctx.at(ofm_index).shape();
auto new_ind = _tensor_reg->addNewClTensor(shape);
addClNode({ifm_index}, {new_ind}, std::move(gpu_op));
diff --git a/runtime/onert/core/src/compiler/StaticShapeInferer.cc b/runtime/onert/core/src/compiler/StaticShapeInferer.cc
index 68cff7e3a..ec5d2146b 100644
--- a/runtime/onert/core/src/compiler/StaticShapeInferer.cc
+++ b/runtime/onert/core/src/compiler/StaticShapeInferer.cc
@@ -803,7 +803,7 @@ void StaticShapeInferer::visit(const ir::operation::Permute &op)
// However, it is not applied here, so input/output have the same layout of frontend. Because
// "ExecutorFactory" would convert shape of input/output accoding to the layouts when registering
// operand info to "TensorBuilder" after calling "StaticShapeInferer"
- const auto new_shape = input.info().shape();
+ const auto &new_shape = input.info().shape();
output.info().shape(new_shape);
}
diff --git a/runtime/onert/core/src/dumper/dot/OperandNode.cc b/runtime/onert/core/src/dumper/dot/OperandNode.cc
index 88f5254f3..49319d595 100644
--- a/runtime/onert/core/src/dumper/dot/OperandNode.cc
+++ b/runtime/onert/core/src/dumper/dot/OperandNode.cc
@@ -35,7 +35,7 @@ Operand::Operand(const ir::OperandIndex &index, Type type)
: Node{"operand" + std::to_string(index.value())}
{
{
- auto type_to_shape = [](Type type) {
+ auto type_to_shape = [](Type type) -> const auto & {
switch (type)
{
case Type::MODEL_INPUT:
generated by cgit v1.2.3 (git 2.25.1) at 2024-06-30 08:39:07 +0000