aclopExecute (Deprecated)

This API will be deprecated in future releases. Use aclopExecuteV2 instead.

Executes a specified operator. This API is asynchronous.

This API is asynchronous. The API call delivers a task rather than executes a task. After this API is called, you need to call a synchronization API (for example, aclrtSynchronizeStream) to ensure that the task is complete. Otherwise, service exceptions (such as training or inference exception) or unknown situations (such as device link or card disconnection) may occur.
In multi-thread scenarios, you cannot specify the same stream or use the default stream when calling this API. Otherwise, the task execution may be abnormal.
As the inputs, outputs, and attributes of each operator are different, the app needs to organize operators in strict accordance with their inputs, outputs, and attributes. When aclopExecute is called, AscendCL searches for the corresponding task based on the operator type, input tensor description, output tensor description, and operator attributes, and then executes the operator.

aclError aclopExecute(const char *opType,

int numInputs,

const aclTensorDesc *const inputDesc[],

const aclDataBuffer *const inputs[],

int numOutputs,

const aclTensorDesc *const outputDesc[],

aclDataBuffer *const outputs[],

const aclopAttr *attr,

aclrtStream stream)

Parameter	Input/Output	Description
opType	Input	Pointer to the operator type name.
numInputs	Input	Number of input tensors.
inputDesc	Input	Pointer array of the input tensor description. Call aclCreateTensorDesc to create data of the aclTensorDesc type in advance. The array length is consistent with numInputs. The elements in the inputs array match those in the inputDesc array.
inputs	Input	Pointer array of the input tensors. Call aclCreateDataBuffer to create data of the aclDataBuffer type in advance. The array length is consistent with numInputs. The elements in the inputs array match those in the inputDesc array.
numOutputs	Input	Number of output tensors. The array length is consistent with numOutputs.
outputDesc	Input	Pointer array of the output tensor description. Call aclCreateTensorDesc to create data of the aclTensorDesc type in advance. The array length is consistent with numOutputs. The elements in the outputs array match those in the outputDesc array.
outputs	Output	Pointer array of the output tensors. Call aclCreateDataBuffer to create data of the aclDataBuffer type in advance. The array length is consistent with numOutputs. The elements in the outputs array match those in the outputDesc array with ordering preserved.
attr	Input	Pointer to the operator attributes. Call aclopCreateAttr to create data of the aclopAttr type in advance.
stream	Input	Target stream of the operator.

The value 0 indicates success, and other values indicate failure. For details, see aclError.

Parent topic: Single-Operator Model Execution