aclmdlLoadFromMem

Description

Loads offline model data from memory. The model workspace is managed by the system.

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 aclrtSetDevice or aclrtCreateContext. 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.

Prototype

aclError aclmdlLoadFromMem(const void *model, size_t modelSize, uint32_t *modelId)

Parameters

Parameter

Input/Output

Description

model

Input

Pointer to the address of the memory that stores the model.

Allocate host memory or device memory based on where the app runs. For details about the memory allocation API, see Memory Management.

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.

Returns

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

Related APIs

AscendCL also provides the aclmdlSetConfigOpt and aclmdlLoadWithConfig APIs for model loading. The caller needs to set the attributes in the configuration object passed to the API call to decide how the model will be loaded and who will manage the memory.

See Also

For the API call sequence, see Loading a Model.