add op param to add_nodes
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1 changed files with 9 additions and 3 deletions
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@ -18,7 +18,7 @@ public:
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explicit ggml_qnn_graph(const std::string &graph_name, QNNBackend device, Qnn_ContextHandle_t qnn_context,
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QNN_INTERFACE_VER_TYPE qnn_interface, size_t vtcm_size_in_mb) :
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_device(device), _qnn_interface(qnn_interface) {
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_graph_name(graph_name), _device(device), _qnn_interface(qnn_interface) {
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QNN_LOG_INFO("graph name %s", graph_name.c_str());
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Qnn_ErrorHandle_t error = QNN_SUCCESS;
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@ -74,7 +74,8 @@ public:
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_graph_handle = graph_handle;
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}
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bool add_nodes(const input_tensor_array_t &tensor_inputs, const output_tensor_array_t &tensor_outputs) {
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bool add_nodes(const std::string &op_name, const input_tensor_array_t &tensor_inputs,
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const output_tensor_array_t &tensor_outputs) {
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if (!is_valid()) {
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QNN_LOG_ERROR("Invalid graph\n");
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return false;
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@ -82,7 +83,7 @@ public:
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Qnn_Param_t qnn_params[] = {};
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Qnn_OpConfig_t op_config = { QNN_OPCONFIG_VERSION_1,
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.v1 = { "ggml_op_add", QNN_OP_PACKAGE_NAME_QTI_AISW, QNN_OP_ELEMENT_WISE_ADD, 0,
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.v1 = { _graph_name.c_str(), QNN_OP_PACKAGE_NAME_QTI_AISW, op_name.c_str(), 0,
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qnn_params, _tensor_inputs.size(), _tensor_inputs.data(),
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_tensor_outputs.size(), _tensor_outputs.data() } };
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auto error = _qnn_interface.graphAddNode(_graph_handle, op_config);
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@ -122,6 +123,7 @@ public:
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Qnn_GraphHandle_t get_graph_handler() const { return _graph_handle; }
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private:
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const std::string _graph_name;
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const QNNBackend _device;
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const QNN_INTERFACE_VER_TYPE _qnn_interface;
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Qnn_GraphHandle_t _graph_handle = nullptr;
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@ -133,4 +135,8 @@ private:
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ggml_qnn_graph(ggml_qnn_graph &&) = delete;
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void operator=(ggml_qnn_graph &&) = delete;
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};
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using ggml_qnn_graph_binary = ggml_qnn_graph<2, 1>;
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using ggml_qnn_graph_unary = ggml_qnn_graph<1, 1>;
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} // namespace qnn
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