ExecuteGraphWithStreamAsync
Applicability
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Product |
Supported |
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Atlas 350 Accelerator Card |
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Header File/Library File
- Header file: #include <ge/ge_api.h>
- Library file: libge_runner.so
Function Usage
Asynchronously runs the graph of a specified ID and returns the execution result.
Both this function and RunGraphWithStreamAsync are used to run the graph of a specified ID and output the result. Unlike RunGraphWithStreamAsync:
- The CompileGraph and LoadGraph processes (asynchronous graph run) must be completed before this API call.
- The data type of inputs and outputs of this API is gert::Tensor.
Prototype
1
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Status ExecuteGraphWithStreamAsync(uint32_t graph_id, void *stream,const std::vector<gert::Tensor> &inputs,std::vector<gert::Tensor> &outputs) |
Parameters
|
Parameter |
Input/Output |
Description |
|---|---|---|
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graph_id |
Input |
Subgraph ID. |
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stream |
Input |
Stream on which the graph is executed. |
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inputs |
Input |
Input data of the current subgraph, which is the memory on the device. If the value of the ge.exec.hostInputIndexes parameter is specified using options, Tensor of the corresponding index specifies the memory space on the host. |
|
outputs |
Output |
Output data of the current subgraph, which is the memory on the device. |
Returns
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Parameter |
Type |
Description |
|---|---|---|
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- |
Status |
SUCCESS: The graph is successfully executed by using the asynchronous API. FAILED: The graph fails to be executed by using the asynchronous API. |
Restrictions
- The memory required by Tensor must be allocated before this API call.
- The CompileGraph and LoadGraph processes must be completed before this API call.
- A stream must be created using aclrtCreateStream provided by acl before this API call.
- Before the graph execution result is obtained, the tasks on the stream must be completed by using the aclrtSynchronizeStream API provided by acl.