aclmdlLoadFromMemWithQ

Applicability

Product	Supported
Atlas A3 training products/Atlas A3 inference products	√
Atlas A2 training products/Atlas A2 inference products	√
Atlas 200I/500 A2 inference products	√
Atlas inference products	√
Atlas training products	√

Description

Loads an offline model (offline model adapted to the Ascend AI Processor) from memory. The inputs and outputs of the model are stored in queues. This API can be used to load only models with static-shape inputs.

Prototype

aclError aclmdlLoadFromMemWithQ(const void *model, size_t modelSize, uint32_t *modelId, const uint32_t *inputQ, size_t inputQNum, const uint32_t *outputQ, size_t outputQNum)

Parameters

Parameter	Input/Output	Description
model	Input	Pointer to the address of the memory that stores the model.
modelSize	Input	Size of the model data in the memory, in bytes.
modelId	Output	Pointer to the model ID. Returns the model ID after the model is successfully loaded. The model ID is used for model identification in subsequent operations.
inputQ	Input	Pointer to the queue ID. Each model input corresponds to a queue ID.
inputQNum	Input	Number of input queues.
outputQ	Input	Pointer to the queue ID. Each model output corresponds to a queue ID.
outputQNum	Input	Number of output queues.

Returns

0 on success; else, failure. For details, see aclError.

Restrictions

The operations of loading, executing, and unloading a model must be performed in the same context. For details about how to create a context, see or . Before loading the model file, check whether the memory space is sufficient based on the size of the model file. If the memory space is insufficient, the application will be abnormal.