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Searched refs:outputTensorDescs (Results 1 – 7 of 7) sorted by relevance

/ohos5.0/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/
H A Dinner_model.cpp734 std::vector<std::pair<std::shared_ptr<TensorDesc>, OH_NN_TensorType>> outputTensorDescs; in GetOutputTensorDescs() local
740 outputTensorDescs.emplace_back(tensorDescPair); in GetOutputTensorDescs()
743 return outputTensorDescs; in GetOutputTensorDescs()
H A Dnncompiler.cpp621 std::vector<std::pair<std::shared_ptr<TensorDesc>, OH_NN_TensorType>> outputTensorDescs; in RestoreFromCacheFile() local
622 …eserializedTensorsFromBuffer(caches[cacheNum - CACHE_OUTPUT_TENSORDESC_OFFSET], outputTensorDescs); in RestoreFromCacheFile()
701 m_outputTensorDescs = outputTensorDescs; in RestoreFromCacheFile()
H A Dnnexecutor.h32 … const std::vector<std::pair<std::shared_ptr<TensorDesc>, OH_NN_TensorType>>& outputTensorDescs);
H A Dnnexecutor.cpp31 const std::vector<std::pair<std::shared_ptr<TensorDesc>, OH_NN_TensorType>>& outputTensorDescs) in NNExecutor() argument
36 m_outputTensorDescs(outputTensorDescs) {} in NNExecutor()
/ohos5.0/foundation/ai/neural_network_runtime/
H A Dneural-network-runtime-guidelines.md500 std::vector<NN_TensorDesc*> outputTensorDescs;
505 outputTensorDescs.emplace_back(tensorDescTmp);
520 tensor = OH_NNTensor_Create(availableDevice[0], outputTensorDescs[i]);
546 returnCode = OH_NNTensorDesc_Destroy(&outputTensorDescs[i]);
/ohos5.0/docs/zh-cn/application-dev/ai/nnrt/
H A Dneural-network-runtime-guidelines.md491 std::vector<NN_TensorDesc*> outputTensorDescs;
496 outputTensorDescs.emplace_back(tensorDescTmp);
511 tensor = OH_NNTensor_Create(availableDevice[0], outputTensorDescs[i]);
537 returnCode = OH_NNTensorDesc_Destroy(&outputTensorDescs[i]);
/ohos5.0/docs/en/application-dev/ai/nnrt/
H A Dneural-network-runtime-guidelines.md491 std::vector<NN_TensorDesc*> outputTensorDescs;
496 outputTensorDescs.emplace_back(tensorDescTmp);
511 tensor = OH_NNTensor_Create(availableDevice[0], outputTensorDescs[i]);
537 returnCode = OH_NNTensorDesc_Destroy(&outputTensorDescs[i]);