mindspore-mindinsight

14 MB

Branch: master

Author	SHA1	Message	Date
wenkai	26fabf4770	Refactor the mindinsight multiprocessing computing code to use a unified manager. Main features: 1. Use the ComputingResourceManager to manage all computing workers. 2. Ensure fair worker number between summary directories at first. So every summary directories in cache will be loaded simultaneously. 3. When a summary directory is loaded, it's worker will be released, and other unfinished summary directories can use the released workers to speed up. This way we solved the slow worker problem. Code changes: 1. Added computing_resource_mgr.py 2. Passed ComputingResourceManager instances instead of workers_count 3. Simplified the _load_single_fine() function a bit.	5 years ago
wangshuide2020	e8ffeb70ef	Support tensor visualization. 1.Tensor display in a table, it can support no more than two dimensions tensor visualization; 2.Tensor histogram visualization for all step in cache.	5 years ago
wenkai	1895275edf	fix log levels too high	5 years ago
luopengting	660a8dbfd4	optimize parsing for out-of-order events	5 years ago
wenkai	7b7607834f	optimize visual range calc	5 years ago
mindspore-ci-bot	7936eaf21d	!63 add comments, optimize histogram log generator to record max and min Merge pull request !63 from wenkai/wk0422_2	5 years ago
wenkai	5c6fb358b2	add comments, optimize histogram log generator to record max and min	5 years ago
mindspore-ci-bot	513fe85328	!59 fix static check Merge pull request !59 from wenkai/wk0422pylint	5 years ago
wenkai	4b2f1e7fc8	fix static check	5 years ago
wenkai	84a39a4e92	resample buckets	5 years ago
wenkai	c4c74bd6b4	cross-step bucket unify	5 years ago
gaocongli	e7a0496e87	initial version	5 years ago

12 Commits (master)