Function: load_from_mem

Function Usage

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

Returns the model ID after the model is loaded. The model ID is used for model identification in subsequent operations.

Prototype

C Prototype

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

Python Function

        
             model_id, ret = acl.mdl.load_from_mem(model, model_size)

Parameters

Parameter	Description
model	Int, pointer address of the memory address of the model data. If the app runs on the host, allocate host buffer. If the app runs on the device, allocate device memory. For details about the memory allocation APIs, see Memory Management.
model_size	Int, size of the model data in the memory, in bytes.

Parameter

Description

model

Int, pointer address of the memory address of the model data.

If the app runs on the host, allocate host buffer.
If the app runs on the device, allocate device memory.

For details about the memory allocation APIs, see Memory Management.

model_size

Int, size of the model data in the memory, in bytes.

Returns

Return Value	Description
model_id	Int, pointer address of the model ID generated after the system loads the model.
ret	Int, error code. 0 indicates success, and other values indicate failure.

Restrictions

Model loading, execution, and unloading must be performed in the same context. For details about how to create a context, see acl.rt.set_device and acl.rt.create_context.

Reference

For the API call sequence, see Model Loading.

Parent topic: Model Loading and Unloading