i don't know ahahaha

tagging @<1523701205467926528:profile|AgitatedDove14> here just in case 😅

Same thing SuccessfulKoala55 😞

sheesh, weird. I don't get the same.

Hi SuccessfulKoala55 I am having some issues with this. I have put a concurrency limit of 2 and I can see 3 workers running

The package on my index is called data-service-client , see the log below:
Looking in indexes: , `
WARNING: The repository located at unicorn is not a trusted or secure host and is being ignored. If this repository is available via HTTPS we recommend you use HTTPS instead, otherwise you may silence this warning and allow it anyway with '--trusted-host unicorn'.
ERROR: Could not find a version that satisfies the requirement data-service-client==1.0.0 (from -r /tmp/cached-reqs1...

i'm not sure how to double check this is the case when it happens... usually we have all requirements specified with git repo

i'm also not sure what this is
-H "Content-Type: application/octet-stream" -H' NV-InferRequest:batch_size: 1 input { name: "dense_input" dims: [-1, 784] } output { name: "activation_2" cls { count: 1 } }'

I see, ok!
I will try that out.
Another thing I noticed: none of my pipeline tasks are reporting these graphs, regardless of runtime. I guess this line would also fix that?

well, what are the types of input expected? is parent_datasets a list of names or IDs?

i'm just interested in actually running a prediction with the serving engine and all

Sent it to you via DM!

platform: "tensorflow_savedmodel" input [ { name: "dense_input" data_type: TYPE_FP32 dims: [-1, 784] } ] output [ { name: "activation_2" data_type: TYPE_FP32 dims: [-1, 10] } ]

yeah, that's fair enough. is it possible to assign cpu cores? I wasn't aware

I have done this but I remember someone once told me this could be an issue... Or I could be misremembering. I just wanted to double check

is that what you mean?

web_server:

Is this a possible future feature? I have used cometML before and they have this. I'm not sure how they do it though...

but it's been that way for over 1 hour.. I remember I can force the task to wait for the upload. how do i do this?

it says method not allowed when i try to access that url

well.. it initially worked but now i get the same thing 😕 SuccessfulKoala55

{"detail":"Error processing request: [Errno 2] No such file or directory: '~/.clearml'"}

api_server:

i don't think the conf is an issue. it's been deployed for a long time and working. models from yesterday correctly display the url

unicorn is an alias for the ip of the machine the server is hosted on

see this for example

okay. what do you suggest?

I think the issue is that the host is not trusted... it looks like it looks into the index

this is the code that's giving me trouble 🤔

fp32 seems to be floating point 32 so my preprocessing seems wrong