aclSetDynamicOutputTensorAddr

Function

After aclOpExecutor reuse is enabled by calling aclSetAclOpExecutorRepeatable, if the output device memory address changes, the device memory address recorded in the output aclTensorList needs to be updated.

Prototype

aclnnStatus aclSetDynamicOutputTensorAddr(aclOpExecutor *executor, size_t irIndex, const size_t relativeIndex, aclTensorList *tensors, void *addr)

Parameters

Parameter	Input/Output	Description
executor	Input	aclOpExecutor that is set to the reusable state.
irIndex	Input	Index of aclTensorList to be updated in the operator IR prototype definition, starting from 0.
relativeIndex	Input	Index of aclTensor to be updated in aclTensorList. If aclTensorList has N tensors, the value range is [0, N – 1].
tensors	Input	aclTensorList pointer to be updated.
addr	Input	Device storage address to be updated to the specified aclTensor. The address must be 32-byte aligned. Otherwise, an undefined error may occur.

Returns

0 on success; otherwise, failure. For details about the return codes, see Common APIs and Return Codes.

Possible causes:

If error code 561103 is returned, executor or tensors is a null pointer.
If error code 161002 is returned, the value of relativeIndex is greater than or equal to the number of tensors in the tensors list.
If error code 161002 is returned, the value of irIndex is greater than or equal to the number of output parameters for the operator prototype.

Constraints

None

Call Example

The following sample code is for reference only. Do not copy and run it.

// Create the input and output aclTensor and aclTensorList.
std::vector<int64_t> shape = {1, 2, 3};
aclTensor tensor1 = aclCreateTensor(shape.data(), shape.size(), aclDataType::ACL_FLOAT,
nullptr, 0, aclFormat::ACL_FORMAT_ND, shape.data(), shape.size(), nullptr);
aclTensor tensor2 = aclCreateTensor(shape.data(), shape.size(), aclDataType::ACL_FLOAT,
nullptr, 0, aclFormat::ACL_FORMAT_ND, shape.data(), shape.size(), nullptr);
aclTensor tensor3 = aclCreateTensor(shape.data(), shape.size(), aclDataType::ACL_FLOAT,
nullptr, 0, aclFormat::ACL_FORMAT_ND, shape.data(), shape.size(), nullptr);
aclTensor tensor4 = aclCreateTensor(shape.data(), shape.size(), aclDataType::ACL_FLOAT,
nullptr, 0, aclFormat::ACL_FORMAT_ND, shape.data(), shape.size(), nullptr);
aclTensor output = aclCreateTensor(shape.data(), shape.size(), aclDataType::ACL_FLOAT,
nullptr, 0, aclFormat::ACL_FORMAT_ND, shape.data(), shape.size(), nullptr);
aclTensor *list[] = {tensor3, tensor4};
auto tensorList = aclCreateTensorList(list, 2);
uint64_t workspaceSize = 0;
aclOpExecutor *executor;
// The AddCustom operator has two inputs (aclTensor) and one output (aclTensorList).
// Call the first-phase API.
aclnnAddCustomGetWorkspaceSize(tensor1, tensor2, tensorList , &workspaceSize, &executor);
// Set the executor to be reusable.
aclSetAclOpExecutorRepeatable(executor);  
void *addr;
aclSetDynamicOutputTensorAddr(executor, 0, 0, tensorList, addr); // Update the device address of the first aclTensor in the output tensor list.
aclSetDynamicOutputTensorAddr(executor, 0, 1, tensorList, addr); // Update the device address of the second aclTensor in the output tensor list.
...
 // Call the second-phase API.
aclnnAddCustom(workspace, workspaceSize, executor, stream);
 // Clear the executor.
aclDestroyAclOpExecutor(executor); 

Parent topic: Basic APIs