Documentation

RunGraphAsync

Description

Runs the graph of a specified ID and returns the execution result. This API is asynchronous.

Both this function and RunGraph are used to run the graph of a specified ID and output the result. Specifically:

  • This API is asynchronous.
  • The allowed data has the same meaning, but different formats.
  • You can use the callback function RunAsyncCallback to obtain the compute result of the graph by customizing the function. When the status of the callback function is success, data can be processed.

Prototype

Status RunGraphAsync(uint32_t graph_id, const std::vector<ge::Tensor> &inputs, RunAsyncCallback callback);
Status RunGraphAsync(uint32_t graph_id, const ContinuousTensorList &inputs, RunAsyncCallback callback);

Parameters

Parameter

Input/Output

Description

graph_id

Input

Subgraph ID.

inputs

Input

Inputs of the subgraph.

  • When std::vector<Tensor> inputs are used and user inputs enter a data queue, memory must be allocated and copied for each input. A large input size or quantity may result in a performance bottleneck.

callback

Output

Callback function of the subgraph.

using Status = uint32_t;
using RunAsyncCallback = std::function<void(Status, std::vector<ge::Tensor> &)>;

Returns

Parameter

Type

Description

-

Status

GE_CLI_GE_NOT_INITIALIZED: GE is not initialized.

SUCCESS: The graph is successfully executed by using the asynchronous API.

FAILED: The graph fails to be executed by using the asynchronous API.

Restrictions

None

Example

  1. Call the AddGraph API to load a subgraph.
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    std::map <AscendString, AscendString> options;
ge::Session *session = new Session(options);

uint32_t graph_id = 0;
ge::Graph graph;
Status ret = session->AddGraph(graph_id, graph);
  2. You can customize RunAsyncCallback to process data as follows:
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    void CallBack(Status result, std::vector<ge::Tensor> &out_tensor) {
if(result == ge::SUCCESS) {
// Read the out_tensor data and process the data as required.
for(auto &tensor : out_tensor) {
  auto data = tensor.GetData();
  int64_t length = tensor.GetSize();
  }
}
}
  3. Define the input data of the graph: const std::vector<ge::Tensor> &inputs
  4. Call RunGraphAsync(graph_id, inputs, CallBack).
Parent topic: Graph Running APIs