Function: load

Applicability

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

Function Usage

Loads the single-operator model data from the memory. The memory is managed by the user.

Prototype

C Prototype

        
             aclError aclopLoad(const void *model, size_t modelSize)

Python Function
1

ret = acl.op.load(model, model_size)

Parameter Description

Parameter	Description
model	Int, address object of the single-operator model data.
model_size	Int, length of the model data in the memory, in bytes.

Return Value Description

Return Value	Description
ret	Int, error code: 0 on success; else, failure.

Restrictions

Before loading, check whether the memory space is sufficient based on the size of the operator OM file. If the memory space is insufficient, the application will be abnormal.

For the Atlas 200I/500 A2 inference products , when your app runs on the host, a single process can execute up to 40,000,000 operators at a time.

For the Atlas training products , when your app runs on the host, a single process can execute up to 40,000,000 operators at a time.

For the Atlas A2 training products / Atlas A2 inference products , when your app runs on the host, a single process can execute up to 2,000,000 operators at a time.

For the Atlas inference products , when your app runs on the host, a single process can execute up to 40,000,000 operators at a time. When your app runs on the device, a single process can execute up to 2,000,000 operators at a time.

For the Atlas A3 training products / Atlas A3 inference products , when your app runs on the host, a single process can execute up to 2,000,000 operators at a time.

Reference

For the API call sequence, see Single-Operator Calling.

Parent topic: Single-Operator Model Execution