Function: finalize_dump

Applicability

Product	Supported
Atlas 350 Accelerator Card	√
Atlas A3 training product/Atlas A3 inference product	√
Atlas A2 training product/Atlas A2 inference product	√
Atlas training product	√
Atlas inference product	√
Atlas 200I/500 A2 inference product	√

Description

Deinitializes the dump.

Prototype

C Prototype
1
aclError aclmdlFinalizeDump()
Python Function
1
ret = acl.mdl.finalize_dump()

Parameters

None

Return Value

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

Restrictions

acl.mdl.init_dump must be used in pair with acl.mdl.set_dump and acl.mdl.finalize_dump to dump data to files. These APIs can be called for multiple times in a single process to obtain dump data of different Dump configurations.
Example scenario:
- To execute two models, you need to set dump information differently. The API call sequence is as follows: acl.init --> acl.mdl.init_dump --> acl.mdl.set_dump --> Model loading --> Model execution --> acl.mdl.finalize_dump --> Model unloading -> acl.mdl.init_dump -> acl.mdl.set_dump -> Model loading -> Model execution -> acl.mdl.finalize_dump -> Model unloading -> Other tasks -> acl.finalize
- To execute the same model twice, you only need to perform the dump operation for the first execution. The API call sequence is as follows: acl.init --> acl.mdl.init_dump --> acl.mdl.set_dump --> Model loading --> Model execution --> acl.mdl.finalize_dump --> Model unloading --> Model loading --> Model execution --> Other tasks --> acl.finalize

Reference

In addition, the acl.init API is provided. During initialization, the dump configuration information is transferred through the *.json file. After the application is run, the dump data is obtained. In this mode, the acl.init API can be called only once in a process. To modify the dump configuration, modify the configuration in the *.json file.

Parent topic: Dump Configuration