Function: execute_with_handle
Applicability
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Atlas 350 Accelerator Card |
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Function Usage
Calls an operator in handle mode. Dynamic-shape operators are not supported. To call dynamic-shape operators, use acl.op.execute_v2 instead. This API is asynchronous.
Prototype
- C Prototype
1aclError aclopExecWithHandle(aclopHandle *handle,int numInputs,const aclDataBuffer *const inputs[],int numOutputs,aclDataBuffer *const outputs[],aclrtStream stream);
- Python Function
1ret = acl.op.execute_with_handle(handle, inputs,outputs, stream)
Parameters
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Parameter |
Description |
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handle |
Int, handle of the operator to be executed. It is a pointer address. Call acl.op.create_handle to create data of the aclopHandle type in advance. |
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inputs |
Int list, input tensor of the operator. It contains multiple aclDataBuffer data address objects. Call acl.create_data_buffer to create data of the aclDataBuffer type in advance. |
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outputs |
Int list, output tensor of the operator. It contains multiple aclDataBuffer data address objects. Call acl.create_data_buffer to create data of the aclDataBuffer type in advance. |
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stream |
Int, stream where the operator is executed, stream address object. |
Returns
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Return Value |
Description |
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ret |
Int, error code: 0 on success; else, failure. |
Restrictions
- This API is asynchronous. The API call delivers a task rather than executes a task. After this API is called, call the synchronization API (for example, acl.rt.synchronize_stream) to ensure that the task is complete.
- In multi-thread scenarios, this API cannot be called to specify the same stream or the default stream. Otherwise, exceptions may occur in task execution.
- When executing an operator with optional input, if the optional input is not used, create data of the aclDataBuffer type as follows:
acl.create_data_buffer(nullptr, 0)
In addition, the data in aclDataBuffer does not need to be released because it is an empty data type.