Earlier  
Posted Nick Remark
#openstack-cyborg - 2019-08-29
03:17:48 Sundar Thanks, s_shogo!
03:18:28 Sundar The main thing that is holding me back is that I am testing P5-P9 with the notification and Placement report patches. Plus, Nova code changes to create a merge conflict for me.
03:18:46 Sundar Once those are resolved, hope we can merge the P5-P9 patches
03:19:01 Sundar ANy other comments on the client, anybody?
03:19:13 shaohe_feng yes, async job depends on P5-P9
03:19:25 s_shogo In my assumption,python-cyborg client and openstacksdk could to be completed before the Train release,
03:19:38 s_shogo but I'm anxious of sufficiency in my test codes, thus please review that in following patches, and help that if necessary.
03:19:38 shaohe_feng great
03:19:53 Sundar shaohe_feng: Agreed. I'll expedite as much as I can.
03:20:06 Sundar s_shogo: Agreed, we'll help for sure
03:20:23 s_shogo Thanks , Sundar
03:20:29 shaohe_feng maybe the test codes can be add later.
03:20:35 Sundar wangzhh: Thanks for proposing the RBAC patch. I had some concerns/questions in the patch. Please take a look.
03:20:50 shaohe_feng firstly let the client can work.
03:21:11 Coco_gao_ s_shogo, thank you . We will review the code.
03:21:28 wangzhh Yep. I have updated my code. May commit after meeting.
03:21:39 Sundar Thanks, wangzhh
03:22:03 s_shogo shaohe_feng : OK, I'll do that preferentially.
03:22:26 Sundar shaohe_feng: Part of the issue is that some Nova developers want to test Cyborg code with Nova code in theor env. Also, we need to show tempest working end-to-end.
03:23:41 Sundar Anybody else trying out the Placement report? With GPUs, AI chip, etc.?
03:23:42 Coco_gao_ What's the remaining work for tempest?
03:23:46 shaohe_feng yes, tempest can eliminate their concerns
03:24:07 Sundar Coco_gao_: It is mostly to get the patches to work together, I think
03:24:34 Sundar Xinran's patches look good IMO. Trying to make sure they work with P5-P9
03:24:51 Yumeng I have tried the Placement report With GPUs
03:25:20 Sundar Yumeng: Good to know
03:25:42 Sundar #topic Nova functional tests
03:26:40 Sundar There was talk at the PTG that we should propose functional tests for Nova, which mock CYborg API in a test fixture, and use that to test Nova patches
03:27:08 Sundar They seem to cover a few more scenarios than unit tests and tempest
03:27:52 Coco_gao_ mock cyborg API's return?
03:27:53 chenke I agree we need to import functional test for nova.
03:28:09 Sundar Coco_gao_: Yes
03:28:44 Sundar We have an entry in the Storyboard too. I have not any comments of late, but there is concern that it may come up at the last moment
03:29:11 Sundar Since there is lots of stuff in Nova runway, it can be tough to get a 2nd look if this issue comes up
03:29:38 Sundar DO we have any volunteers for writing Nova functional tests? I'll help as much as I can
03:31:35 Sundar Please think it over and LMK if you can.
03:32:33 Sundar shaohe_feng: Do you want to bring up the discussion about ARQ states and transitions, as followup? Or is it settled?
03:33:12 shaohe_feng yes
03:33:45 shaohe_feng one things is that, who delete the ARQ
03:34:09 shaohe_feng when delete API tag the state as delete_pending?
03:34:22 Sundar There is Nova code to delete the ARQ in some error cases and when VM is terminated
03:35:03 shaohe_feng maybe it is still in bind process
03:35:47 shaohe_feng the bind process to delete it when it find the state is delete_pending?
03:36:06 Sundar Yes. In that case, IMHO, it is best to let the bind complete and the traits get updated in Placement, and then unbind/delete the ARQ
03:36:26 Sundar If we try to interrupt FPGA progamming, bad things can happen
03:36:46 shaohe_feng we will not add any rollback this release for bind. just go through the whole process even deleting.
03:36:54 Sundar Agreed
03:37:05 shaohe_feng OK.
03:37:09 Coco_gao_ OK
03:37:48 shaohe_feng any state transform should be transaction.
03:38:39 Sundar Yes, db transaction
03:39:21 shaohe_feng seems there is a state machine in oslo lib
03:39:26 Sundar Any other issue, shaohe_feng?
03:39:43 shaohe_feng we will not introduce it release
03:40:12 Sundar Ok by me. What are the benefits of using that?
03:40:13 shaohe_feng for I need time to read up it.
03:40:31 shaohe_feng do not look into it at present.
03:40:35 Sundar ok
03:40:55 shaohe_feng maybe after the whole flow code are finished
03:41:07 shaohe_feng we can have a look for cons and pros
03:41:32 Sundar Sure. We'll trust your judgement on this :)
03:41:48 shaohe_feng another things, should the async job timeout?
03:42:01 Sundar On a different note, I am seeing this issue for allocating attach handles: https://opendev.org/openstack/cyborg/src/branch/master/cyborg/db/sqlalchemy/api.py#L269 The in_use field does not get written to db
03:42:37 shaohe_feng but there's still a problem.
03:42:40 Sundar The timeout should correspond to default Nova timeout
03:43:10 shaohe_feng maybe it is in programming or other critical job
03:43:34 Sundar The programming typically takes a few seconds, so default of 300 seconds (I think) is good enough
03:43:40 shaohe_feng timeout can be disaster
03:44:21 shaohe_feng another things
03:44:43 shaohe_feng currently the bind process is specify for FPGA
03:45:40 Sundar Umm, bind if for all accelerators. Only programming is for FPGA. the bind means the ARQ is associated with a host and deployable in Cyborg's db, and the device is ready to use
03:45:44 Sundar *is for
03:45:55 shaohe_feng there should be good extension for other kinds
03:46:05 shaohe_feng I means:
03:46:22 shaohe_feng 1. get the resource type.
03:46:50 shaohe_feng every resource type should has its own extend bind action
03:46:56 shaohe_feng for FPGA it is program.
03:47:08 shaohe_feng other's maybe evn setup, not sure.
03:47:43 shaohe_feng 2. every resource should be has its own placement report.
03:48:20 shaohe_feng the report info maybe different
03:48:35 shaohe_feng so the code should be:
03:49:09 shaohe_feng type, num = arq.group_get_resource()
03:49:17 shaohe_feng for n in num:
03:50:05 shaohe_feng action = get_accelerator_action(type) # fpga is program
03:50:08 shaohe_feng action()
03:50:15 shaohe_feng somethings like this
03:50:38 shaohe_feng and these code should be split from the arq object file
03:51:36 Sundar In general, the process should be generic for all accelerators. The current code looks at the device profile request group to see if it has function_id or bitstream_id entries, which are specific to FPGA, to decide if programming is needed
03:52:32 shaohe_feng we maybe add other spec in
03:52:36 Sundar AFAIK, for non-FPGA devices in this release, there is nothing required to prepare the device, right?
03:53:10 shaohe_feng devices profile for different acclerations
03:53:14 shaohe_feng such as HDDL
03:53:19 shaohe_feng we can add
03:54:18 shaohe_feng "accel:affinity": true
03:54:44 Sundar Ok
03:54:46 shaohe_feng which means we need 4 accelerator in one card
03:54:49 Sundar We had an idea of a generic prepare_device API in the driver, which gets a dictionary as a parameter, where the dictionary values depend on the device type.
03:55:26 shaohe_feng yes, different devices maybe take different action during bind.
03:56:14 Sundar Quick process check: Since we have only few minutes left, should we continue this via email, copying all of us and openstack-ML? What do you all think?
03:56:34 shaohe_feng also another things, where we init the threadpoolexcutor?

Earlier   Later