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https://github.com/saymrwulf/onnxruntime.git
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fix
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parent
cc15ceef4e
commit
32533dd1c2
4 changed files with 6 additions and 6 deletions
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@ -54,7 +54,7 @@ Status BaseOpBuilder::AddToModelBuilder(ModelBuilder& model_builder, const NodeU
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ORT_RETURN_IF_NOT(IsOpSupported(model_builder.GetInitializerTensors(), node_unit, params),
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"Unsupported operator ", node_unit.OpType());
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#ifndef NDEBUG
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model_builder.SetDebugTrackNode(node_unit.Index());
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model_builder.SetDebugCurrentOnnxNodeIndex(node_unit.Index());
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#endif
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ORT_RETURN_IF_ERROR(AddToModelBuilderImpl(model_builder, node_unit));
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LOGS_DEFAULT(VERBOSE) << "Operator name: [" << node_unit.Name()
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@ -479,7 +479,7 @@ Status ModelBuilder::AddOperation(int op, const InlinedVector<uint32_t>& input_i
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const std::vector<std::string>& output_names,
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const std::vector<OperandType>& output_types) {
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#ifndef NDEBUG
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operations_recorder_.emplace_back(track_node_index_, op);
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operations_recorder_.emplace_back(current_onnx_node_index_, op);
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#endif
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InlinedVector<uint32_t> output_indices;
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for (size_t i = 0; i < output_types.size(); i++) {
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@ -111,8 +111,8 @@ class ModelBuilder {
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// ONNX node and NNAPI node are not a 1:1 mapping, like batch-normalization.
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// We use this to track a specific ONNX node which we are processing and record the detail mapping relationship.
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// So we can log out each NNAPI OP status during model-building and compiling.
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void SetDebugTrackNode(const size_t node_index) {
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track_node_index_ = node_index;
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void SetDebugCurrentOnnxNodeIndex(const size_t node_index) {
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current_onnx_node_index_ = node_index;
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}
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#endif
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private:
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@ -168,7 +168,7 @@ class ModelBuilder {
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#ifndef NDEBUG
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// To track and record current node index for debugging
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size_t track_node_index_ = 0;
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size_t current_onnx_node_index_ = 0;
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// <ONNX node index ,nnapi operation index>
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// An ONNX node might be decomposed into multiple nnapi operations
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// <1,1> <1,2> <1,3>
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@ -113,7 +113,7 @@ Status GetTargetDevices(const NnApi& nnapi_handle, TargetDeviceOption target_dev
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// and exclude nnapi-reference for better performance if possible.
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// 3) We can easily log the detail of how op was assigned on NNAPI devices which is helpful for debugging.
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// Related doc and code https://source.android.com/docs/core/interaction/neural-networks#cpu-usage
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// and https://android.googlesource.com/platform/frameworks/ml/+/master/nn/runtime/ExecutionPlan.cpp#2303
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// and https://android.googlesource.com/platform/frameworks/ml/+/5b525d4d9100819d87447bd2c2a0bcfdd62899ee/nn/runtime/ExecutionPlan.cpp#2303
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if (cpu_index != -1 && cpu_index != static_cast<int32_t>(devices.size()) - 1) {
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std::swap(devices[devices.size() - 1], devices[cpu_index]);
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}
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