GrievingDuck15

3 Questions, 6 Answers

Active since 29 April 2023

Last activity 6 months ago

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Questions 3
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0 Votes

4 Answers

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0 Votes 4 Answers 1K Views

I Want To Save Some Data On My Outputmodel In Order To Make It More Accessible When I'M Using The Model. When I Use

I want to save some data on my OutputModel in order to make it more accessible when I'm using the model. When I use myOuputModel.save_metadata("somekey", "so...

clearml

one year ago

0 Votes

4 Answers

648 Views

0 Votes 4 Answers 648 Views

I Have A Dataset Uploaded To Clearml. By Mistake I Didn'T Set The Destination Correctly And The Dataset Is Now Saved On A Computer Rather Than In S3. Is There An Easy Way To Rectify This?

I have a dataset uploaded to clearml. By mistake I didn't set the destination correctly and the dataset is now saved on a computer rather than in s3. Is ther...

clearml

6 months ago

0 Votes

6 Answers

668 Views

0 Votes 6 Answers 668 Views

Hey, the <https://clear.ml/docs/latest/docs/references/api/#request-format|api reference> says that the url should be ```https://<base_url>/auth.login``` but to make it actually work I have to do ```https://<base_url>/api/v1.0/auth.login``` Th

Hey, the api reference says that the url should be https:///auth.login but to make it actually work I have to do https:///api/v1.0/auth.login This does not s...

clearml

7 months ago

0 I Have A Dataset Uploaded To Clearml. By Mistake I Didn'T Set The Destination Correctly And The Dataset Is Now Saved On A Computer Rather Than In S3. Is There An Easy Way To Rectify This?

Aright, I might opt for just squashing the whole she-bang then.

6 months ago

0 I Want To Save Some Data On My Outputmodel In Order To Make It More Accessible When I'M Using The Model. When I Use

I'll make one:)

one year ago

0 I Want To Save Some Data On My Outputmodel In Order To Make It More Accessible When I'M Using The Model. When I Use

import torch
import torchvision
from clearml import Task, OutputModel

scripted_model = torch.jit.script(torchvision.models.resnet18())
scripted_model.save("model.pt")

task = Task.init(project_name="OutputModelMVE", task_name="Testing shit")

outputmodel = OutputModel(task=task, framework='PyTorch')
outputmodel.update_labels({'Clearml': 0, 'Debug': 1})
outputmodel.set_upload_destination(INSERT DESTINATION)
metadatas = dict(Score=("0.2", "float"),
                SomeField=("SomeField",...

one year ago

0 I Want To Save Some Data On My Outputmodel In Order To Make It More Accessible When I'M Using The Model. When I Use

Ok, the mistake was staring me in the eye the entire time.

I thought that set_metadata worked on the local output model. But what it actually does is try to update metadata on the remote. The output model doesn't exist on the remote before you call update_weights , so you have to set_metadata after upload.

one year ago

0 Hey, the <https://clear.ml/docs/latest/docs/references/api/#request-format|api reference> says that the url should be ```https://<base_url>/auth.login``` but to make it actually work I have to do ```https://<base_url>/api/v1.0/auth.login``` Th

So I tested using the version that I can see in the request going to the server, but the api returns "Requested version: 2.28, Used version 1.0" for some reason. I'm not sure if the message is wrong or it actually used 1.0.

7 months ago

0 I Have A Dataset Uploaded To Clearml. By Mistake I Didn'T Set The Destination Correctly And The Dataset Is Now Saved On A Computer Rather Than In S3. Is There An Easy Way To Rectify This?

Where reregistering is uploading everything again?

6 months ago